{"id":728,"date":"2021-07-27T11:09:37","date_gmt":"2021-07-27T09:09:37","guid":{"rendered":"https:\/\/dbdmg.polito.it\/dbdmg_web\/?page_id=728"},"modified":"2021-09-01T17:50:01","modified_gmt":"2021-09-01T15:50:01","slug":"publications","status":"publish","type":"page","link":"https:\/\/dbdmg.polito.it\/dbdmg_web\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"
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  1. \n

    \nAndrea Avignone, Silvia Chiusano, Alessandro Fiori, Paolo Garza, Emanuele Marchetta (2023), A Novel DB CASE Tool for Relational Databases<\/a>, ,\n<\/p>\n<\/li>\n

    <\/p>\n

  2. \n

    \nMoreno LA QUATRA, Luca Cagliero (2023), BART-IT: An Efficient Sequence-to-Sequence Model for Italian Text Summarization<\/a>, FUTURE INTERNET, ISSN: 1999-5903\n<\/p>\n<\/li>\n

    <\/p>\n

  3. \n

    \nAlkis Koudounas, Flavio Giobergia, Irene Benedetto, Simone Monaco, Luca Cagliero, Daniele Apiletti, ELENA MARIA Baralis (2023), ba\u03c1tti at GeoLingIt: Beyond Boundaries, Enhancing Geolocation Prediction and Dialect Classification on Social Media in Italy<\/a>, Proceedings of the Eighth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2023),\n<\/p>\n<\/li>\n

    <\/p>\n

  4. \n

    \nDaniele Rege Cambrin, Luca Colomba, Paolo Garza (2023), CaBuAr: California burned areas dataset for delineation [Software and Data Sets]<\/a>, IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, ISSN: 2168-6831\n<\/p>\n<\/li>\n

    <\/p>\n

  5. \n

    \nGiuseppe Gallipoli, Moreno LA QUATRA, Daniele REGE CAMBRIN, Salvatore Greco, Luca Cagliero (2023), DANTE at GeoLingIt: Dialect-Aware Multi-Granularity Pre-training for Locating Tweets within Italy<\/a>, Proceedings of the Eighth Evaluation Campaign of Natural LanguageProcessing and Speech Tools for Italian. Final Workshop (EVALITA 2023), Parma, Italy, September 7th-8th, 2023,\n<\/p>\n<\/li>\n

    <\/p>\n

  6. \n

    \nAlessandro Ciociola, Danilo Giordano, Luca Vassio, Marco Mellia (2023), Data Driven Scalability and Profitability Analysis in Free Floating Electric Car Sharing Systems<\/a>, INFORMATION SCIENCES, ISSN: 0020-0255\n<\/p>\n<\/li>\n

    <\/p>\n

  7. \n

    \nLuca Colomba, Luca Cagliero, Paolo Garza (2023), Density-based Clustering by Means of Bridge Point Identification<\/a>, IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, ISSN: 1041-4347\n<\/p>\n<\/li>\n

    <\/p>\n

  8. \n

    \nLia Morra, Alberto Azzari, Letizia Bergamasco, Marco Braga, Luigi Capogrosso, Federico Delrio, Giuseppe DI GIACOMO, Simone Eiraudo, Giorgia Ghione, Rocco Giudice, Alkis Koudounas, Luca Piano, Daniele REGE CAMBRIN, Matteo Risso, Marco Rondina, ALESSANDRO SEBASTIAN Russo, Marco Russo, Francesco Taioli, Lorenzo Vaiani, Chiara Vercellino (2023), Designing Logic Tensor Networks for Visual Sudoku puzzle classification<\/a>, 17th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy 2023),\n<\/p>\n<\/li>\n

    <\/p>\n

  9. \n

    \nDaniele G. Gioia, Jacopo Fior, Luca Cagliero (2023), Early portfolio pruning: a scalable approach to hybrid portfolio selection<\/a>, KNOWLEDGE AND INFORMATION SYSTEMS, ISSN: 0219-1377\n<\/p>\n<\/li>\n

    <\/p>\n

  10. \n

    \nFrancesco Ventura, Salvatore Greco, Daniele Apiletti, Tania Cerquitelli (2023), Explaining deep convolutional models by measuring the influence of interpretable features in image classification<\/a>, DATA MINING AND KNOWLEDGE DISCOVERY, ISSN: 1573-756X\n<\/p>\n<\/li>\n

    <\/p>\n

  11. \n

    \nDavide Napolitano, Luca Cagliero (2023), GX-HUI: Global Explanations of AI Models based on High-Utility Itemsets<\/a>, 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC), ISBN: 979-8-3503-2697-0\n<\/p>\n<\/li>\n

    <\/p>\n

  12. \n

    \nAlkis Koudounas, Moreno LA QUATRA, Lorenzo Vaiani, Luca Colomba, Giuseppe Attanasio, Eliana Pastor, Luca Cagliero, Elena Baralis (2023), ITALIC: An Italian Intent Classification Dataset<\/a>, Proc. INTERSPEECH 2023,\n<\/p>\n<\/li>\n

    <\/p>\n

  13. \n

    \nDavide Napolitano, Lorenzo Vaiani, Luca Cagliero (2023), Learning Confidence Intervals for Feature Importance: A Fast Shapley-based Approach<\/a>, Proceedings of 7th International workshop on Data Analytics solutions for Real-LIfe APplications,\n<\/p>\n<\/li>\n

    <\/p>\n

  14. \n

    \nSilvia Buccafusco, Luca Cagliero, Andrea Megaro, Francesco Vaccarino, Riccardo Loti, Lucia Salvatori (2023), Learning industrial vehicles\u2019 duty patterns: A real case<\/a>, COMPUTERS IN INDUSTRY, ISSN: 0166-3615\n<\/p>\n<\/li>\n

    <\/p>\n

  15. \n

    \nFlavio Giobergia (2023), Machine learning with limited label availability: algorithms and applications<\/a>, ,\n<\/p>\n<\/li>\n

    <\/p>\n

  16. \n

    \nLorenzo D'Amico, Davide Napolitano, Lorenzo Vaiani, Luca Cagliero (2023), PoliTo at MULTI-Fake-DetectiVE: Improving FND-CLIP for Multimodal Italian Fake News Detection<\/a>, Proceedings of the Eighth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2023),\n<\/p>\n<\/li>\n

    <\/p>\n

  17. \n

    \nLorenzo Vaiani, Luca Cagliero, Paolo Garza (2023), PoliTo at SemEval-2023 Task 1: CLIP-based Visual-Word Sense Disambiguation Based on Back-Translation<\/a>, Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023),\n<\/p>\n<\/li>\n

    <\/p>\n

  18. \n

    \nIrene Benedetto, Alkis Koudounas, Lorenzo Vaiani, Eliana Pastor, Elena Baralis, Luca Cagliero, Francesco Tarasconi (2023), PoliToHFI at SemEval-2023 Task 6: Leveraging Entity-Aware and Hierarchical Transformers For Legal Entity Recognition and Court Judgment Prediction<\/a>, Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023),\n<\/p>\n<\/li>\n

    <\/p>\n

  19. \n

    \nMarta Tornago, Flavio Giobergia, Luca Menzio, Federico Siviero, Roberta Arcidiacono, Nicolo' Cartiglia, M Costa, M Ferrero, G Gioachin, M Mandurrino, V Sola (2023), Silicon sensors with resistive read-out: Machine Learning techniques for ultimate spatial resolution<\/a>, NUCLEAR INSTRUMENTS AND METHODS IN PHYSICS RESEARCH. SECTION A, ACCELERATORS, SPECTROMETERS, DETECTORS AND ASSOCIATED EQUIPMENT, ISSN: 1872-9576\n<\/p>\n<\/li>\n

    <\/p>\n

  20. \n

    \nSimone Monaco, Daniele Apiletti (2023), Training physics-informed neural networks: One learning to rule them all?<\/a>, RESULTS IN ENGINEERING, ISSN: 2590-1230\n<\/p>\n<\/li>\n

    <\/p>\n

  21. \n

    \nDaniele Rege Cambrin, Luca Colomba, Paolo Garza (2023), Vision Transformers for Burned Area Delineation<\/a>, CEUR Workshop Proceedings,\n<\/p>\n<\/li>\n

    <\/p>\n

  22. \n

    \nLuca Colomba, Alessandro Farasin, Simone Monaco, Salvatore Greco, Paolo Garza, Daniele Apiletti, Elena Baralis, Tania Cerquitelli (2022), A Dataset for Burned Area Delineation and Severity Estimation from Satellite Imagery<\/a>, Titolo volume non avvalorato, ISBN: 978-1-4503-9236-5\n<\/p>\n<\/li>\n

    <\/p>\n

  23. \n

    \nGianluca Perna, Martino Trevisan, Danilo Giordano, Idilio Drago (2022), A first look at HTTP\/3 adoption and performance<\/a>, COMPUTER COMMUNICATIONS, ISSN: 0140-3664\n<\/p>\n<\/li>\n

    <\/p>\n

  24. \n

    \nFran\u00e7ois Michel, Martino Trevisan, Danilo Giordano, Olivier Bonaventure (2022), A first look at starlink performance<\/a>, IMC '22: Proceedings of the 22nd ACM Internet Measurement Conference, ISBN: 9781450392594\n<\/p>\n<\/li>\n

    <\/p>\n

  25. \n

    \nG. Chiesa, A. Avignone, T. Carluccio (2022), A Low-Cost Monitoring Platform and Visual Interface to Analyse Thermal Comfort in Smart Building Applications Using a Citizen\u2013Scientist Strategy<\/a>, ENERGIES, ISSN: 1996-1073\n<\/p>\n<\/li>\n

    <\/p>\n

  26. \n

    \nSILVIA ANNA Chiusano, Tania Cerquitelli, Robert Wrembel (2022), Advances in Databases and Information Systems - 26th European Conference, ADBIS 2022, Turin, Italy, September 5-8, 2022, Proceedings<\/a>, ,\n<\/p>\n<\/li>\n

    <\/p>\n

  27. \n

    \nIrene Benedetto, Luca Cagliero, Francesco Tarasconi (2022), Automatic Inference of\u00a0Taxonomy Relationships Among Legal Documents<\/a>, New Trends in Database and Information Systems, ISBN: 978-3-031-15742-4\n<\/p>\n<\/li>\n

    <\/p>\n

  28. \n

    \nGiuseppe Attanasio, Debora Nozza, Eliana Pastor, Dirk Hovy (2022), Benchmarking Post-Hoc Interpretability Approaches for Transformer-based Misogyny Detection<\/a>, Proceedings of NLP Power! The First Workshop on Efficient Benchmarking in NLP,\n<\/p>\n<\/li>\n

    <\/p>\n

  29. \n

    \nB. Vacchetti, T. Cerquitelli (2022), Cinematographic Shot Classification with Deep Ensemble Learning<\/a>, ELECTRONICS, ISSN: 2079-9292\n<\/p>\n<\/li>\n

    <\/p>\n

  30. \n

    \nElena Daraio, Luca Cagliero, Silvia Chiusano, Paolo Garza (2022), Complementing Location-Based Social Network Data With Mobility Data: A Pattern-Based Approach<\/a>, IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, ISSN: 1524-9050\n<\/p>\n<\/li>\n

    <\/p>\n

  31. \n

    \nJ Fior, L Cagliero (2022), Correlating Extreme Weather Conditions With Road Traffic Safety: A Unified Latent Space Model<\/a>, IEEE ACCESS, ISSN: 2169-3536\n<\/p>\n<\/li>\n

    <\/p>\n

  32. \n

    \nDanilo Giordano, Flavio Giobergia, Eliana Pastor, Antonio La Macchia, Tania Cerquitelli, Elena Baralis, Marco Mellia, Davide Tricarico (2022), Data-driven strategies for predictive maintenance: Lesson learned from an automotive use case<\/a>, COMPUTERS IN INDUSTRY, ISSN: 0166-3615\n<\/p>\n<\/li>\n

    <\/p>\n

  33. \n

    \nMoreno LA QUATRA (2022), Deep Learning for Natural Language Understanding and Summarization<\/a>, ,\n<\/p>\n<\/li>\n

    <\/p>\n

  34. \n

    \nMaurizio Pinna, Luca Vassio, Danilo Giordano, Marco Mellia (2022), Demand Model Generation from Traces: Adaptive KDE Data-Driven Optimization<\/a>, 6th International Conference on Smart Grid and Smart Cities (ICSGSC), ISBN: 978-1-6654-8783-2\n<\/p>\n<\/li>\n

    <\/p>\n

  35. \n

    \nGiuseppe Attanasio (2022), Dissecting Deep Language Models: The Explainability and Bias Perspective<\/a>, ,\n<\/p>\n<\/li>\n

    <\/p>\n

  36. \n

    \nSihem Amer-Yahia, Yael Amsterdamer, Sourav S. Bhowmick, Angela Bonifati, Philippe Bonnet, Renata Borovica-Gajic, Barbara Catania, Tania Cerquitelli, SILVIA ANNA Chiusano, Panos K. Chrysanthis, Carlo Curino, J('(e))r(^(o))me Darmont, Amr El Abbadi, Avrilia Floratou, Juliana Freire, Alekh Jindal, Vana Kalogeraki, Georgia Koutrika, Arun Kumar, Sujaya Maiyya, Alexra Meliou, Madhulika Mohanty, Felix Naumann, Nele Sina Noack, Fatma Ozcan, Liat Peterfreund, Wenny Rahayu, Wang-Chiew Tan, Yuanyuan Tian, Pinar Tozun (2022), Diversity and Inclusion Activities in Database Conferences: A 2021 Report<\/a>, SIGMOD RECORD, ISSN: 1943-5835\n<\/p>\n<\/li>\n

    <\/p>\n

  37. \n

    \nGiuseppe Attanasio, Debora Nozza, Dirk Hovy, Elena Baralis (2022), Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists<\/a>, Findings of the Association for Computational Linguistics: ACL 2022,\n<\/p>\n<\/li>\n

    <\/p>\n

  38. \n

    \nSimone Monaco, Daniele Apiletti (2022), Experimental Comparison of Theory-Guided Deep Learning Algorithms<\/a>, ADBIS 2022: New Trends in Database and Information Systems, ISBN: 978-3-031-15742-4\n<\/p>\n<\/li>\n

    <\/p>\n

  39. \n

    \nSimone Monaco, Paolo Bethaz, Daniele Apiletti, Fabrizio Pio Baldini, Carlo Caso, Tania Cerquitelli (2022), Exploring waste-collection fleet data: challenges in a real-world use case from multiple data providers<\/a>, Proceedings of the Workshops of the {EDBT\/ICDT} 2022 Joint Conference,\n<\/p>\n<\/li>\n

    <\/p>\n

  40. \n

    \nPatrick John Chia, Giuseppe Attanasio, Federico Bianchi, Silvia Terragni, Ana Rita Magalh\u00e3es, Diogo Goncalves, Ciro Greco, Jacopo Tagliabue (2022), FashionCLIP: Connecting Language and Images for Product Representations<\/a>, ,\n<\/p>\n<\/li>\n

    <\/p>\n

  41. \n

    \nFederico Siviero, Flavio Giobergia, Luca Menzio, F Miserocchi, Marta Tornago, R Arcidiacono, Nicolo' Cartiglia, M Costa, M Ferrero, G Gioachin, M Mandurrino, V Sola (2022), First experimental results of the spatial resolution of RSD pad arrays read out with a 16-ch board<\/a>, NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH. SECTION A, ACCELERATORS, SPECTROMETERS, DETECTORS AND ASSOCIATED EQUIPMENT, ISSN: 0168-9002\n<\/p>\n<\/li>\n

    <\/p>\n

  42. \n

    \nJacopo Fior, Luca Cagliero, Tommaso Calo' (2022), Generating Comparative Explanations of Financial Time Series<\/a>, Advances in Databases and Information System, ISBN: 978-3-031-15739-4\n<\/p>\n<\/li>\n

    <\/p>\n

  43. \n

    \nLorenzo Vaiani, Alkis Koudounas, Moreno LA QUATRA, Luca Cagliero, Paolo Garza, ELENA MARIA Baralis (2022), How Much Attention Should we Pay to Mosquitoes?<\/a>, MM '22: Proceedings of the 30th ACM International Conference on Multimedia, ISBN: 978-1-4503-9203-7\n<\/p>\n<\/li>\n

    <\/p>\n

  44. \n

    \nDonato Chirulli, Giuseppe Narducci, Giuseppe Governale, Nicole Viola, Jasmine Rimani, Roberta Fusaro, Davide Ferretto, SILVIA ANNA Chiusano, Alessandro Fiori, Orr Cohen, Eva-Marie Dupuy (2022), Human lunar lander system design, cost estimation and technology roadmaps<\/a>, Titolo volume non avvalorato,\n<\/p>\n<\/li>\n

    <\/p>\n

  45. \n

    \nRoberta Fusaro, Nicole Viola, Giuseppe Narducci, Giuseppe Governale, Jasmine Rimani, Davide Ferretto, Silvia Chiusano, Alessandro Fiori, Orr Cohen, Eva-Marie Dupuy (2022), iDREAM: a multidisciplinary methodology and integrated toolset for flight vehicle engineering<\/a>, Proceedings of the International Astronautical Congress,\n<\/p>\n<\/li>\n

    <\/p>\n

  46. \n

    \nJason Ravagli, Lorenzo Vaiani (2022), JRLV at SemEval-2022 Task 5: The Importance of Visual Elements for Misogyny Identification in Memes<\/a>, Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022),\n<\/p>\n<\/li>\n

    <\/p>\n

  47. \n

    \nRachele Raus, Michela Tonti, Tania Cerquitelli, Luca Cagliero, Giuseppe Attanasio, Moreno La Quatra, Salvatore Greco (2022), L\u2019analyse du discours et l\u2019intelligence artificielle pour r\u00e9aliser une \u00e9criture inclusive : le projet EMIMIC<\/a>, Titolo volume non avvalorato,\n<\/p>\n<\/li>\n

    <\/p>\n

  48. \n

    \nAndrea Longhi, Arianna Carannante, Silvia Chiusano, Alessandro Fiori (2022), La costruzione di un progetto di conoscenza storica in ambiente digitale. L\u2019Atlante dei palazzi comunali e dei luoghi del potere collettivo nel Medioevo<\/a>, ATTI E RASSEGNA TECNICA, ISSN: 0004-7287\n<\/p>\n<\/li>\n

    <\/p>\n

  49. \n

    \nJacopo Fior, Luca Cagliero, Paolo Garza (2022), Leveraging Explainable AI to Support Cryptocurrency Investors<\/a>, FUTURE INTERNET, ISSN: 1999-5903\n<\/p>\n<\/li>\n

    <\/p>\n

  50. \n

    \nLorenzo Vaiani, Moreno LA QUATRA, Luca Cagliero, Paolo Garza (2022), Leveraging multimodal content for podcast summarization<\/a>, Proceedings of the 37th ACM\/SIGAPP Symposium on Applied Computing,\n<\/p>\n<\/li>\n

    <\/p>\n

  51. \n

    \nIrene Benedetto, Lorenzo Canale, Laura Farinetti, Luca Cagliero, Moreno La Quatra (2022), Leveraging summarization techniques in educational technology systems<\/a>, 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC), ISBN: 978-1-6654-8810-5\n<\/p>\n<\/li>\n

    <\/p>\n

  52. \n

    \nGian Pietro Bellocca, Giuseppe Attanasio, Luca Cagliero, Jacopo Fior (2022), Leveraging the momentum effect in machine learning-based cryptocurrency trading<\/a>, MACHINE LEARNING WITH APPLICATIONS, ISSN: 2666-8270\n<\/p>\n<\/li>\n

    <\/p>\n

  53. \n

    \nL. Vassio, D. Giordano, J. Kim, J. Crowcroft (2022), Message from the organizers of WAIN<\/a>, PERFORMANCE EVALUATION REVIEW, ISSN: 0163-5999\n<\/p>\n<\/li>\n

    <\/p>\n

  54. \n

    \nGiuseppe Narducci, Giuseppe Governale, Nicole Viola, Jasmine Rimani, Roberta Fusaro, Davide Ferretto, SILVIA ANNA Chiusano, Alessandro Fiori, Orr Cohen, Eva-Marie Dupuy (2022), Microlauncher design, cost estimation and technology roadmaps<\/a>, Titolo volume non avvalorato,\n<\/p>\n<\/li>\n

    <\/p>\n

  55. \n

    \nGiuseppe Attanasio, Debora Nozza, Federico Bianchi (2022), MilaNLP at SemEval-2022 Task 5: Using Perceiver IO for Detecting Misogynous Memes with Text and Image Modalities<\/a>, Proceedings of the 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics,\n<\/p>\n<\/li>\n

    <\/p>\n

  56. \n

    \nLuca Colomba, Luca Cagliero, Paolo Garza (2022), Mining SpatioTemporally Invariant Patterns<\/a>, Titolo volume non avvalorato, ISBN: 978-1-4503-9529-8\n<\/p>\n<\/li>\n

    <\/p>\n

  57. \n

    \nRosa Rita Maria Tamborrino, Sara BONINI BARALDI, SILVIA ANNA Chiusano, Cristina Cuneo, Andrea Longhi, BIANCA MARIA Rinaldi, EMMA PAOLA GERMANA Salizzoni, Mesut Dinler, GIULIA MARIA Mezzalama, Farzaneh Aliakbari, Gianvito Urgese, Alessandro - In: Il valore del patrimonio. Studi per Giulio Mondini Aliberti (2022), MNEMONIC: atlante digitale della memoria del presente. Il patrimonio culturale e naturale nell\u2019Italia in lockdown<\/a>, Il valore del patrimonio. Studi per Giulio Mondini, ISBN: 9788892851573\n<\/p>\n<\/li>\n

    <\/p>\n

  58. \n

    \nSILVIA ANNA Chiusano, Tania Cerquitelli, Robert Wrembel, Kjetil Norvaag, Barbara Catania, Genoveva Vargas-Solar, Ester Zumpano (2022), New Trends in Database and Information Systems - ADBIS 2022 Short Papers, Doctoral Consortium and Workshops: DOING, K-GALS, MADEISD, MegaData, SWODCH, Turin, Italy, September 5-8, 2022, Proceedings<\/a>, ,\n<\/p>\n<\/li>\n

    <\/p>\n

  59. \n

    \nAlessandra Colombelli, Greta Temporin, Francesco Serraino, Tania Cerquitelli (2022), Physical and mental health of university staff during the Covid-19 pandemic<\/a>, 2022 IEEE International Conference on Big Data (Big Data) - Proceedings,\n<\/p>\n<\/li>\n

    <\/p>\n

  60. \n

    \nPaolo Bethaz, Bartolomeo Vacchetti, Enrica Capitelli, Vladi Nosenzo, Luca Chiosso, Tania Cerquitelli (2022), Predicting job execution time on a high-performance computing cluster using a hierarchical data-driven methodology<\/a>, Proceedings of the Workshops of the {EDBT\/ICDT} 2022 Joint Conference,\n<\/p>\n<\/li>\n

    <\/p>\n

  61. \n

    \nGianluca Perna, Dena Markudova, Martino Trevisan, Paolo Garza, Michela Meo, Maurizio Munafo, Giovanna Carofiglio (2022), Real-Time Classification of Real-Time Communications<\/a>, IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, ISSN: 1932-4537\n<\/p>\n<\/li>\n

    <\/p>\n

  62. \n

    \nFlavio Giobergia, Elena Baralis (2022), RECLAIM: Reverse Engineering Classification Metrics<\/a>, 2022 IEEE Fifth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE),\n<\/p>\n<\/li>\n

    <\/p>\n

  63. \n

    \nGianluca Perna, Dena Markudova, Martino Trevisan, Paolo Garza, Michela Meo, Maurizio Munaf\u00f2 (2022), Retina: An open-source tool for flexible analysis of RTC traffic<\/a>, COMPUTER NETWORKS, ISSN: 1389-1286\n<\/p>\n<\/li>\n

    <\/p>\n

  64. \n

    \nAndrea Pasini, Flavio Giobergia, Eliana Pastor, ELENA MARIA Baralis (2022), Semantic Image Collection Summarization with Frequent Subgraph Mining<\/a>, IEEE ACCESS, ISSN: 2169-3536\n<\/p>\n<\/li>\n

    <\/p>\n

  65. \n

    \nEvelina DI CORSO, Stefano Proto, Bartolomeo Vacchetti, Paolo Bethaz, Tania Cerquitelli (2022), Simplifying Text Mining Activities: Scalable and Self-Tuning Methodology for Topic Detection and Characterization<\/a>, APPLIED SCIENCES, ISSN: 2076-3417\n<\/p>\n<\/li>\n

    <\/p>\n

  66. \n

    \nLuca - In: Contracting and Contract Law in the Age of Artificial IntelligenceSTAMPA Cagliero (2022), Summarising Multilingual Documents: The Unexpressed Potential of Deep Natural Language Processing<\/a>, Contracting and Contract Law in the Age of Artificial Intelligence, ISBN: 9781509950683\n<\/p>\n<\/li>\n

    <\/p>\n

  67. \n

    \nSimone Monaco, Daniele Apiletti, Giovanni Malnati (2022), Theory-Guided Deep Learning Algorithms: An Experimental Evaluation<\/a>, ELECTRONICS, ISSN: 2079-9292\n<\/p>\n<\/li>\n

    <\/p>\n

  68. \n

    \nMoreno LA QUATRA, Luca Cagliero (2022), Transformer-based highlights extraction from scientific papers<\/a>, KNOWLEDGE-BASED SYSTEMS, ISSN: 1872-7409\n<\/p>\n<\/li>\n

    <\/p>\n

  69. \n

    \nLorenzo Vaiani, Alkis Koudounas, Moreno LA QUATRA, Luca Cagliero, Paolo Garza, ELENA MARIA Baralis (2022), Transformer-based Non-Verbal Emotion Recognition: Exploring Model Portability across Speakers\u2019 Genders<\/a>, MuSe' 22: Proceedings of the 3rd International on Multimodal Sentiment Analysis Workshop and Challenge,\n<\/p>\n<\/li>\n

    <\/p>\n

  70. \n

    \nFlavio Giobergia (2022), Triplet Losses-based Matrix Factorization for Robust Recommendations<\/a>, Proceedings of the CIKM 2022 Workshops,\n<\/p>\n<\/li>\n

    <\/p>\n

  71. \n

    \nFrancesco Ventura, Salvatore Greco, Daniele Apiletti, Tania Cerquitelli (2022), Trusting deep learning natural-language models via local and global explanations<\/a>, KNOWLEDGE AND INFORMATION SYSTEMS, ISSN: 0219-1377\n<\/p>\n<\/li>\n

    <\/p>\n

  72. \n

    \nLorenzo Vaiani, Moreno LA QUATRA, Luca Cagliero, Paolo Garza (2022), ViPER: Video-based Perceiver for Emotion Recognition<\/a>, Proceedings of the 3rd on Multimodal Sentiment Analysis Challenge (MuSe 2022),\n<\/p>\n<\/li>\n

    <\/p>\n

  73. \n

    \nThomas Favale, Danilo Giordano, Idilio Drago, Marco Mellia (2022), What Scanners do at L7? Exploring Horizontal Honeypots for Security Monitoring<\/a>, 2022 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW), ISBN: 978-1-6654-9560-8\n<\/p>\n<\/li>\n

    <\/p>\n

  74. \n

    \nDaniel Perdices, Gianluca Perna, Martino Trevisan, Danilo Giordano, Marco Mellia (2022), When satellite is all you have: watching the internet from 550 ms<\/a>, IMC '22: Proceedings of the 22nd ACM Internet Measurement Conference, ISBN: 9781450392594\n<\/p>\n<\/li>\n

    <\/p>\n

  75. \n

    \nMarco Cipriano, Luca Colomba, Paolo Garza (2021), A Data-Driven Based Dynamic Rebalancing Methodology for Bike Sharing Systems<\/a>, APPLIED SCIENCES, ISSN: 2076-3417\n<\/p>\n<\/li>\n

    <\/p>\n

  76. \n

    \nAngelo Marguglio, Giuseppe Veneziano, Pietro Greco, Sven Jung, Robert Siegburg, Robert H. Schmitt, Simone Monaco, Daniele Apiletti, Nikolaos Nikolakis, Tania Cerquitelli, Enrico (INFORMATION FUSION AND DATA SCIENCE) Macii (2021), A hybrid cloud-to-edge predictive maintenance platform<\/a>, Predictive Maintenance in Smart Factories, ISBN: 978-981-16-2939-6\n<\/p>\n<\/li>\n

    <\/p>\n

  77. \n

    \nDanilo Giordano, Luca Vassio, Luca Cagliero (2021), A multi-faceted characterization of free-floating car sharing service usage<\/a>, TRANSPORTATION RESEARCH. PART C, EMERGING TECHNOLOGIES, ISSN: 0968-090X\n<\/p>\n<\/li>\n

    <\/p>\n

  78. \n

    \nAndrea Di Domenico, Gianluca Perna, Martino Trevisan, Luca Vassio, Danilo Giordano (2021), A Network Analysis on Cloud Gaming: Stadia, GeForce Now and PSNow<\/a>, NETWORK, ISSN: 2673-8732\n<\/p>\n<\/li>\n

    <\/p>\n

  79. \n

    \nSimone Monaco, Salvatore Greco, Alessandro Farasin, Luca Colomba, Daniele Apiletti, Paolo Garza, Tania Cerquitelli, Elena Baralis (2021), Attention to Fires: Multi-Channel Deep Learning Models for Wildfire Severity Prediction<\/a>, APPLIED SCIENCES, ISSN: 2076-3417\n<\/p>\n<\/li>\n

    <\/p>\n

  80. \n

    \nLuca Cagliero, Moreno LA QUATRA (2021), Automatic slides generation in the absence of training data<\/a>, 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC),\n<\/p>\n<\/li>\n

    <\/p>\n

  81. \n

    \nLeonardo Tolomei, Stefano Fiorini, Alessandro Ciociola, Luca Vassio, Danilo Giordano, Marco Mellia (2021), Benefits of Relocation on E-scooter Sharing - a Data-Informed Approach<\/a>, 2021 IEEE International Intelligent Transportation Systems Conference (ITSC), ISBN: 978-1-7281-9142-3\n<\/p>\n<\/li>\n

    <\/p>\n

  82. \n

    \nT. Cerquitelli, S. Migliorini, S. Chiusano (2021), Big data analytics for smart cities<\/a>, ELECTRONICS, ISSN: 2079-9292\n<\/p>\n<\/li>\n

    <\/p>\n

  83. \n

    \nS. Chiusano, T. Cerquitelli, R. Wrembel, D. Quercia (2021), Breakthroughs on Cross-Cutting Data Management, Data Analytics, and Applied Data Science<\/a>, INFORMATION SYSTEMS FRONTIERS, ISSN: 1387-3326\n<\/p>\n<\/li>\n

    <\/p>\n

  84. \n

    \nFederico Bianchi, Giuseppe Attanasio, Raphael Pisoni, Silvia Terragni, Gabriele Sarti, Sri Lakshmi (2021), Contrastive Language-Image Pre-training for the Italian Language<\/a>, ,\n<\/p>\n<\/li>\n

    <\/p>\n

  85. \n

    \nLuca Cagliero, Moreno LA QUATRA, Paolo Garza, ELENA MARIA Baralis (2021), Cross-lingual timeline summarization<\/a>, 2021 IEEE Fourth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), ISBN: 978-1-6654-3736-3\n<\/p>\n<\/li>\n

    <\/p>\n

  86. \n

    \nSimone Monaco, Nicole Bussola, Sara Butto, Diego Sona, Daniele Apiletti, Giuseppe Jurman, Elisa Viola, Marco Chierici, Christodoulos Xinaris, Vincenzo Viola (2021), Cyst segmentation on kidney tubules by means of U-Net deep-learning models<\/a>, 2021 IEEE International Conference on Big Data (Big Data), ISBN: 978-1-6654-3902-2\n<\/p>\n<\/li>\n

    <\/p>\n

  87. \n

    \nTania Cerquitelli, Nikolaos Nikolakis, Lia Morra, Andrea Bellagarda, Matteo Orlando, Riku Salokangas, Olli Saarela, Jani Hietala, Petri Kaarmila, Enrico - In: Predictive Maintenance in Smart Factories Macii (2021), Data-Driven Predictive Maintenance: A Methodology Primer<\/a>, Predictive Maintenance in Smart Factories, ISBN: 978-981-16-2939-6\n<\/p>\n<\/li>\n

    <\/p>\n

  88. \n

    \nMatteo Corain, Paolo Garza, Abolfazl Asudeh (2021), DBSCOUT: A Density-based Method for Scalable Outlier Detection in Very Large Datasets<\/a>, Proceedings 37th IEEE International Conference on Data Engineering, ICDE 2021, ISBN: 978-1-7281-9184-3\n<\/p>\n<\/li>\n

    <\/p>\n

  89. \n

    \nMartino Trevisan, Luca Vassio, Danilo Giordano (2021), Debate on online social networks at the time of COVID-19: An Italian case study<\/a>, ONLINE SOCIAL NETWORKS AND MEDIA, ISSN: 2468-6964\n<\/p>\n<\/li>\n

    <\/p>\n

  90. \n

    \nDanilo Giordano, Eliana Pastor, Flavio Giobergia, Tania Cerquitelli, Elena Baralis, Marco Mellia, Alessandra Neri, Davide Tricarico (2021), Dissecting a Data-driven Prognostic Pipeline: A Powertrain use case<\/a>, EXPERT SYSTEMS WITH APPLICATIONS, ISSN: 0957-4174\n<\/p>\n<\/li>\n

    <\/p>\n

  91. \n

    \nSimone Monaco, Andrea Pasini, Daniele Apiletti, Luca Colomba, Alessandro Farasin, Paolo Garza, Elena Baralis (2021), Double-Step deep learning framework to improve wildfire severity classification<\/a>, Workshops of the 24th International Conference on Extending Database Technology\/24th International Conference on Database Theory, EDBT-ICDT 2021, ISBN: 978-3-89318-084-4\n<\/p>\n<\/li>\n

    <\/p>\n

  92. \n

    \nSalvatore Greco, Tania Cerquitelli (2021), DRIFT LENS: Real-time unsupervised Concept Drift detection by evaluating per-label embedding distributions<\/a>, 2021 International Conference on Data Mining Workshops (ICDMW), ISBN: 978-1-6654-2427-1\n<\/p>\n<\/li>\n

    <\/p>\n

  93. \n

    \nPaolo Bethaz, Khalid Belhajjame, Genoveva Vargas-Solar, Tania Cerquitelli (2021), DS4ALL: All you need for democratizing data exploration and analysis<\/a>, Titolo volume non avvalorato, ISBN: 978-1-6654-4599-3\n<\/p>\n<\/li>\n

    <\/p>\n

  94. \n

    \nGiuseppe Attanasio, Salvatore Greco, Moreno LA QUATRA, Luca Cagliero, Michela Tonti, Tania Cerquitelli, Rachele Raus (2021), E-MIMIC: Empowering Multilingual Inclusive Communication<\/a>, Titolo volume non avvalorato,\n<\/p>\n<\/li>\n

    <\/p>\n

  95. \n

    \nPaolo Bethaz, Sara Cavaglion, Sofia Cricelli, Elena Liore, Emanuele Manfredi, Stefano Salio, Andrea Regalia, Fabrizio Conicella, Salvatore Greco, Tania Cerquitelli (2021), Empowering Commercial Vehicles through Data-Driven Methodologies<\/a>, ELECTRONICS, ISSN: 2079-9292\n<\/p>\n<\/li>\n

    <\/p>\n

  96. \n

    \nTania Cerquitelli, Francesco Ventura, Daniele Apiletti, Elena Baralis, Enrico Macii, Massimo Poncino (2021), Enhancing manufacturing intelligence through an unsupervised data-driven methodology for cyclic industrial processes<\/a>, EXPERT SYSTEMS WITH APPLICATIONS, ISSN: 0957-4174\n<\/p>\n<\/li>\n

    <\/p>\n

  97. \n

    \nPaolo Bethaz, Tania Cerquitelli (2021), Enhancing the friendliness of data analytics tasks: an automated methodology<\/a>, Titolo volume non avvalorato,\n<\/p>\n<\/li>\n

    <\/p>\n

  98. \n

    \nEdoardo Fassio, Alessandro Ciociola, Danilo Giordano, Michel Noussan, Luca Vassio, Marco Mellia (2021), Environmental and Economic Comparison of ICEV and EV in Car Sharing<\/a>, 2021 IEEE International Intelligent Transportation Systems Conference (ITSC) \u200b, ISBN: 978-1-7281-9142-3\n<\/p>\n<\/li>\n

    <\/p>\n

  99. \n

    \nPierluigi Petrali, Tania Cerquitelli, Paolo Bethaz, Lia Morra, Nikolaos Nikolakis, Claudia DE VIZIA, Enrico (INFORMATION FUSION AND DATA SCIENCE) Macii (2021), Estimating Remaining Useful Life: A Data-Driven Methodology for the White Goods Industry<\/a>, Predictive Maintenance in Smart Factories, ISBN: 978-981-16-2939-6\n<\/p>\n<\/li>\n

    <\/p>\n

  100. \n

    \nJacopo Fior, Luca Cagliero (2021), Estimating the incidence of adverse weather effects on road traffic safety using time series embeddings<\/a>, 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC), ISBN: 978-1-6654-2463-9\n<\/p>\n<\/li>\n

    <\/p>\n

  101. \n

    \nFrancesco Ventura (2021), Explaining black-box deep neural models' predictions, behaviors, and performances through the unsupervised mining of their inner knowledge<\/a>, ,\n<\/p>\n<\/li>\n

    <\/p>\n

  102. \n

    \nLorenzo Canale, Laura Farinetti, Luca Cagliero (2021), From teaching books to educational videos and vice versa: a cross-media content retrieval experience<\/a>, 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC), ISBN: 978-1-6654-2463-9\n<\/p>\n<\/li>\n

    <\/p>\n

  103. \n

    \nEliana Pastor, Andrew Gavgavian, Elena Baralis, Luca de Alfaro (2021), How Divergent Is Your Data?<\/a>, Proceedings of the VLDB Endowment,\n<\/p>\n<\/li>\n

    <\/p>\n

  104. \n

    \nEliana Pastor, Luca de Alfaro, ELENA MARIA Baralis (2021), Identifying Biased Subgroups in Ranking and Classification<\/a>, ,\n<\/p>\n<\/li>\n

    <\/p>\n

  105. \n

    \nLuca Cagliero, Moreno LA QUATRA (2021), Inferring multilingual domain-specific word embeddings from large document corpora<\/a>, IEEE ACCESS, ISSN: 2169-3536\n<\/p>\n<\/li>\n

    <\/p>\n

  106. \n

    \nDanilo Giordano, Marco Mellia, Tania Cerquitelli (2021), K-MDTSC: K-Multi-Dimensional Time-Series Clustering Algorithm<\/a>, ELECTRONICS, ISSN: 2079-9292\n<\/p>\n<\/li>\n

    <\/p>\n

  107. \n

    \nM. La Quatra, L. Cagliero, E. Baralis (2021), Leveraging full-text article exploration for citation analysis<\/a>, SCIENTOMETRICS, ISSN: 0138-9130\n<\/p>\n<\/li>\n

    <\/p>\n

  108. \n

    \nEliana Pastor, Luca de Alfaro, Elena Baralis (2021), Looking for Trouble: Analyzing Classifier Behavior via Pattern Divergence<\/a>, SIGMOD\/PODS '21: Proceedings of the 2021 International Conference on Management of Data, ISBN: 978-1-4503-8343-1\n<\/p>\n<\/li>\n

    <\/p>\n

  109. \n

    \nTania Cerquitelli, Daniele JAHIER PAGLIARI, Andrea Calimera, Lorenzo Bottaccioli, Edoardo Patti, Andrea Acquaviva, Massimo Poncino (2021), Manufacturing as a Data-Driven Practice: Methodologies, Technologies, and Tools<\/a>, PROCEEDINGS OF THE IEEE, ISSN: 0018-9219\n<\/p>\n<\/li>\n

    <\/p>\n

  110. \n

    \nMartino Trevisan, Danilo Giordano, Idilio Drago, Ali Safari Khatouni (2021), Measuring HTTP\/3: Adoption and Performance<\/a>, Proceedings of the 2021 19th Mediterranean Communication and Computer Networking Conference (MedComNet), ISBN: 978-1-6654-3590-1\n<\/p>\n<\/li>\n

    <\/p>\n

  111. \n

    \nL. Vassio, Z. -L. Zhang, D. Giordano, A. Chandra (2021), Message from the organizers of WAIN<\/a>, PERFORMANCE EVALUATION REVIEW, ISSN: 0163-5999\n<\/p>\n<\/li>\n

    <\/p>\n

  112. \n

    \nGianluca Perna, Dena Markudova, Martino Trevisan, Paolo Garza, Michela Meo, Maurizio Munaf\u00f2, Giovanna Carofiglio (2021), Online Classification of RTC Traffic<\/a>, Proceedings of the 2021 IEEE 18th Annual Consumer Communications & Networking Conference, ISBN: 978-1-7281-9794-4\n<\/p>\n<\/li>\n

    <\/p>\n

  113. \n

    \nEliana Pastor (2021), Pattern-based algorithms for Explainable AI<\/a>, ,\n<\/p>\n<\/li>\n

    <\/p>\n

  114. \n

    \nL. Cagliero, L. Canale, L. Farinetti, E. Baralis, E. Venuto (2021), Predicting student academic performance by means of associative classification<\/a>, APPLIED SCIENCES, ISSN: 2076-3417\n<\/p>\n<\/li>\n

    <\/p>\n

  115. \n

    \nPaolo Bethaz, Xanthi Bampoula, Tania Cerquitelli, Nikolaos Nikolakis, Kosmas Alexopoulos, Enrico Macii, Peter - In: Predictive Maintenance in Smart Factories[s.l] : Springer Nature van Wilgen (2021), Predictive Maintenance in the Production of Steel Bars: A Data-Driven Approach<\/a>, Predictive Maintenance in Smart Factories, ISBN: 978-981-16-2940-2\n<\/p>\n<\/li>\n

    <\/p>\n

  116. \n

    \nDena Markudova, Sachit Mishra, Luca Cagliero, Luca Vassio, Marco Mellia, Elena Baralis, Lucia Salvatori, Riccardo Loti (2021), Preventive maintenance for heterogeneous industrial vehicles with incomplete usage data<\/a>, COMPUTERS IN INDUSTRY, ISSN: 0166-3615\n<\/p>\n<\/li>\n

    <\/p>\n

  117. \n

    \nSilvia Buccafusco, Andrea Megaro, Luca Cagliero, Francesco Vaccarino, Lucia Salvatori, Riccardo Loti (2021), Profiling industrial vehicle duties using CAN bus signal segmentation and clustering<\/a>, Proceedings of the Workshops of the EDBT\/ICDT 2021 Joint Conference, ISBN: 978-3-89318-084-4\n<\/p>\n<\/li>\n

    <\/p>\n

  118. \n

    \nAndrea Pasini (2021), Semantics-aware image understanding<\/a>, ,\n<\/p>\n<\/li>\n

    <\/p>\n

  119. \n

    \nMoreno LA QUATRA, Luca Cagliero, ELENA MARIA Baralis, Alberto Messina, Maurizio Montagnuolo (2021), Summarize Dates First: A Paradigm Shift in Timeline Summarization<\/a>, 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2021, Virtual, Online, 11 July 2021 - 15 July 2021, 170067, ISBN: 978-145038037-9\n<\/p>\n<\/li>\n

    <\/p>\n

  120. \n

    \nFrancesca Soro, Thomas Favale, Danilo Giordano, Luca Vassio, Zied Ben Houidi, Idilio - In: Communication Networks and Service Management in the Era of Artificial Intelligence and Machine LearningELETTRONICO Drago (2021), The New Abnormal: Network Anomalies in the AI Era<\/a>, Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning, ISBN: 9781119675501\n<\/p>\n<\/li>\n

    <\/p>\n

  121. \n

    \nDena Markudova, Martino Trevisan, Paolo Garza, Michela Meo, Maurizio Munafo, Giovanna Carofiglio (2021), What's my App?: ML-based classification of RTC applications<\/a>, PERFORMANCE EVALUATION REVIEW, ISSN: 0163-5999\n<\/p>\n<\/li>\n

    <\/p>\n

  122. \n

    \nS. Panicucci, N. Nikolakis, T. Cerquitelli, F. Ventura, S. Proto, E. Macii, S. Makris, D. Bowden, P. Becker, N. O'Mahony, L. Morabito, C. Napione, A. Marguglio, G. Coppo, S. Andolina (2020), A cloud-to-edge approach to support predictive analytics in robotics industry<\/a>, ELECTRONICS, ISSN: 2079-9292\n<\/p>\n<\/li>\n

    <\/p>\n

  123. \n

    \nT. Cerquitelli, E. D. Corso, S. Proto, P. Bethaz, D. Mazzarelli, A. Capozzoli, E. Baralis, M. Mellia, S. Casagrande, M. Tamburini (2020), A data-driven energy platform: from energy performance certificates to human-readable knowledge through dynamic high-resolution geospatial maps<\/a>, ELECTRONICS, ISSN: 2079-9292\n<\/p>\n<\/li>\n

    <\/p>\n

  124. \n

    \nElena Daraio, Luca Cagliero, SILVIA ANNA Chiusano, Paolo Garza, Giuseppe Ricupero (2020), An explainable data-driven approach to web directory taxonomy mapping<\/a>, Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES2020,\n<\/p>\n<\/li>\n

    <\/p>\n

  125. \n

    \nAli Safari Khatouni, Martino Trevisan, Danilo Giordano, Mohammad Rajiullah, Stefan Alfredsson, Anna Brunstrom, Cise Midoglu, \u00d6zg\u00fc Alay (2020), An Open Dataset of Operational Mobile Networks<\/a>, MobiWac '20: Proceedings of the 18th ACM Symposium on Mobility Management and Wireless, ISBN: 9781450381192\n<\/p>\n<\/li>\n

    <\/p>\n

  126. \n

    \nE. Pastor, E. Baralis (2020), Bring Your Own Data to X-PLAIN<\/a>, Proceedings of the ACM SIGMOD International Conference on Management of Data, ISBN: 9781450367356\n<\/p>\n<\/li>\n

    <\/p>\n

  127. \n

    \nB. Vacchetti, T. Cerquitelli, R. Antonino (2020), Cinematographic Shot Classification through Deep Learning<\/a>, Proceedings - 2020 IEEE 44th Annual Computers, Software, and Applications Conference, COMPSAC 2020, ISBN: 978-1-7281-7303-0\n<\/p>\n<\/li>\n

    <\/p>\n

  128. \n

    \nLuca Cagliero, Paolo Garza, Moreno - In: Trends and Applications of Text Summarization Techniques LA QUATRA (2020), Combining Machine Learning and Natural Language Processing for Language-Specific, Multi-Lingual, and Cross-Lingual Text Summarization: A Wide-Ranging Overview<\/a>, Trends and Applications of Text Summarization Techniques, ISBN: 9781522593737\n<\/p>\n<\/li>\n

    <\/p>\n

  129. \n

    \nDaniele Apiletti, Eliana Pastor (2020), Correlating Espresso Quality with Coffee-Machine Parameters by Means of Association Rule Mining<\/a>, ELECTRONICS, ISSN: 2079-9292\n<\/p>\n<\/li>\n

    <\/p>\n

  130. \n

    \nFlavio Giobergia, Luca Cagliero, Paolo Garza, Elena Baralis (2020), Cross-Lingual Propagation of Sentiment Information Based on Bilingual Vector Space Alignment<\/a>, CEUR Workshop Proceedings,\n<\/p>\n<\/li>\n

    <\/p>\n

  131. \n

    \nT. Cerquitelli, A. Regalia, E. Manfredi, F. Conicella, P. Bethaz, E. Liore (2020), Data-Driven Estimation of Heavy-Truck Residual Value at the Buy-Back<\/a>, IEEE ACCESS, ISSN: 2169-3536\n<\/p>\n<\/li>\n

    <\/p>\n

  132. \n

    \nDaniela Renga, Daniele Apiletti, Danilo Giordano, Matteo Nisi, Tao Huang, Yang Zhang, Marco Mellia, ELENA MARIA Baralis (2020), Data-driven exploratory models of an electric distribution network for fault prediction and diagnosis<\/a>, COMPUTING, ISSN: 1436-5057\n<\/p>\n<\/li>\n

    <\/p>\n

  133. \n

    \nLaura Lopez Fuentes, Alessandro Farasin, Mirko Zaffaroni, Harald Skinnemoen, Paolo Garza (2020), Deep learning models for road passability detection during flood events using social media data<\/a>, APPLIED SCIENCES, ISSN: 2076-3417\n<\/p>\n<\/li>\n

    <\/p>\n

  134. \n

    \nTania Cerquitelli, Alessandra Colombelli, Claudia De Giorgi, Arianna Montorsi (2020), Diversit\u00e0 \u00e8 Eccellenza. Bilancio di Genere 2020 - Politecnico di Torino<\/a>, ,\n<\/p>\n<\/li>\n

    <\/p>\n

  135. \n

    \nAlessandro Farasin, Luca Colomba, Paolo Garza (2020), Double-Step U-Net: A Deep Learning-Based Approach for the Estimation of Wildfire Damage Severity through Sentinel-2 Satellite Data<\/a>, APPLIED SCIENCES, ISSN: 2076-3417\n<\/p>\n<\/li>\n

    <\/p>\n

  136. \n

    \nGiuseppe Attanasio, Flavio Giobergia, Andrea Pasini, Francesco Ventura, ELENA MARIA Baralis, Luca Cagliero, Paolo Garza, Daniele Apiletti, Tania Cerquitelli, SILVIA ANNA Chiusano (2020), DSLE: A Smart Platform for Designing Data Science Competitions<\/a>, 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC), ISBN: 978-1-7281-7303-0\n<\/p>\n<\/li>\n

    <\/p>\n

  137. \n

    \nAlessandro Ciociola, Michele Cocca, Danilo Giordano, Luca Vassio, Marco Mellia (2020), E-Scooter Sharing: Leveraging Open Data for System Design<\/a>, 2020 IEEE\/ACM 24th International Symposium on Distributed Simulation and Real Time Applications (DS-RT), ISBN: 978-1-7281-7343-6\n<\/p>\n<\/li>\n

    <\/p>\n

  138. \n

    \nT. Cerquitelli, S. Chiusano, G. Vargas-Solar (2020), Editorial special issue on data analytics for engineering, science and society<\/a>, COMPUTING, ISSN: 0010-485X\n<\/p>\n<\/li>\n

    <\/p>\n

  139. \n

    \nT Cerquitelli, N Nikolakis, P Bethaz, S Panicucci, F Ventura, E Macii, S Andolina, A Marguglio, K Alexopoulos, P Petrali, A Pagani, P van Wilgen, M Ippolito (2020), Enabling predictive analytics for smart manufacturing through an IIoT platform<\/a>, 53,\n<\/p>\n<\/li>\n

    <\/p>\n

  140. \n

    \nMoreno La Quatra, Luca Cagliero (2020), End-to-end Training For Financial Report Summarization<\/a>, Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation,\n<\/p>\n<\/li>\n

    <\/p>\n

  141. \n

    \nEnrico Palumbo, DIEGO MICHELE Monti, Giuseppe Rizzo, Rapha\u00ebl Troncy, ELENA MARIA Baralis (2020), entity2rec: Property-specific knowledge graph embeddings for item recommendation<\/a>, EXPERT SYSTEMS WITH APPLICATIONS, ISSN: 0957-4174\n<\/p>\n<\/li>\n

    <\/p>\n

  142. \n

    \nMartino Trevisan, Ali Safari Khatouni, Danilo Giordano (2020), ERRANT: Realistic Emulation of Radio Access Networks<\/a>, COMPUTER NETWORKS, ISSN: 1389-1286\n<\/p>\n<\/li>\n

    <\/p>\n

  143. \n

    \nD. Apiletti, E. Pastor, R. Call\u00e0, E. Baralis (2020), Evaluating espresso coffee quality by means of time-series feature engineering<\/a>, CEUR Workshop Proceedings,\n<\/p>\n<\/li>\n

    <\/p>\n

  144. \n

    \nM. La Quatra, L. Cagliero, E. Baralis (2020), Exploiting pivot words to classify and summarize discourse facets of scientific papers<\/a>, SCIENTOMETRICS, ISSN: 0138-9130\n<\/p>\n<\/li>\n

    <\/p>\n

  145. \n

    \nJacopo Fior, Luca Cagliero (2020), Exploring the Use of Data at Multiple Granularity Levels in Machine Learning-Based Stock Trading<\/a>, Deep data intelligence for finance (DDIF),\n<\/p>\n<\/li>\n

    <\/p>\n

  146. \n

    \nL. Cagliero, M. La Quatra (2020), Extracting highlights of scientific articles: A supervised summarization approach<\/a>, EXPERT SYSTEMS WITH APPLICATIONS, ISSN: 0957-4174\n<\/p>\n<\/li>\n

    <\/p>\n

  147. \n

    \nMartino Trevisan, Danilo Giordano, Idilio Drago, Maurizio Matteo Munafo, Marco Mellia (2020), Five Years at the Edge: Watching Internet From the ISP Network<\/a>, IEEE-ACM TRANSACTIONS ON NETWORKING, ISSN: 1063-6692\n<\/p>\n<\/li>\n

    <\/p>\n

  148. \n

    \nPetropoulos Fotios, Daniele Apiletti, Assimakopoulos Vassilios, Mohamed Zied Babai, Devon K. Barrow, Bergmeir Christoph, Ricardo J. Bessa, John E. Boylan, Browell Jethro, Carnevale Claudio, Jennifer L. Castle, Cirillo Pasquale, Michael P. Clements, Cordeiro Clara, Fernando Luiz Cyrino Oliveira, Shari De Baets, Dokumentov Alexander, Fiszeder Piotr, Philip Hans Franses, Gilliland Michael, M. Sinan G\u00f6n\u00fcl, Goodwin Paul, Grossi Luigi, Grushka-Cockayne Yael, Guidolin Mariangela, Guidolin Massimo, Gunter Ulri (2020), Forecasting: theory and practice<\/a>, ,\n<\/p>\n<\/li>\n

    <\/p>\n

  149. \n

    \nL. Cagliero, M. La Quatra, D. Apiletti (2020), From Hotel Reviews to City Similarities: A Unified Latent-Space Model<\/a>, ELECTRONICS, ISSN: 2079-9292\n<\/p>\n<\/li>\n

    <\/p>\n

  150. \n

    \nAlessandro Ciociola, Dena Markudova, Luca Vassio, Danilo Giordano, Marco Mellia, Michela Meo (2020), Impact of Charging Infrastructure and Policies on Electric Car Sharing Systems<\/a>, 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), ISBN: 978-1-7281-4149-7\n<\/p>\n<\/li>\n

    <\/p>\n

  151. \n

    \nSimone Monaco, Andrea Pasini, Daniele Apiletti, Luca Colomba, Paolo Garza, ELENA MARIA Baralis (2020), Improving Wildfire Severity Classification of Deep Learning U-Nets from Satellite Images<\/a>, 2020 IEEE International Conference on Big Data, ISBN: 978-1-7281-6251-5\n<\/p>\n<\/li>\n

    <\/p>\n

  152. \n

    \nGiuseppe Attanasio, Luca Cagliero, Elena Baralis (2020), Leveraging the explainability of associative classifiers to support quantitative stock trading<\/a>, Proceedings of the Sixth International Workshop on Data Science for Macro-Modeling, ISBN: 9781450380300\n<\/p>\n<\/li>\n

    <\/p>\n

  153. \n

    \nS. Mishra, L. Vassio, L. Cagliero, M. Mellia, E. Baralis, R. Loti, L. Salvatori (2020), Machine learning supported next-maintenance prediction for industrial vehicles<\/a>, CEUR Workshop Proceedings,\n<\/p>\n<\/li>\n

    <\/p>\n

  154. \n

    \nMichelangelo Barulli, Alessandro Ciociola, Michele Cocca, Luca Vassio, Danilo Giordano, Marco Mellia (2020), On Scalability of Electric Car Sharing in Smart Cities<\/a>, 2020 IEEE International Smart Cities Conference (ISC2), ISBN: 978-1-7281-8294-0\n<\/p>\n<\/li>\n

    <\/p>\n

  155. \n

    \nGiuseppe Attanasio, Eliana Pastor (2020), PoliTeam@AMI: Improving Sentence Embedding Similarity with Misogyny Lexicons for Automatic Misogyny Identification in Italian Tweets<\/a>, Proceedings of the 7th Evaluation Campaign of Natural Language Processing and Speech tools for Italian (EVALITA 2020),\n<\/p>\n<\/li>\n

    <\/p>\n

  156. \n

    \nElena Daraio, Luca Cagliero, Silvia Chiusano, Paolo Garza, Danilo Giordano (2020), Predicting Car Availability in Free Floating Car Sharing Systems: Leveraging Machine Learning in Challenging Contexts<\/a>, ELECTRONICS, ISSN: 2079-9292\n<\/p>\n<\/li>\n

    <\/p>\n

  157. \n

    \nJacopo Fior, Luca Cagliero, Paolo Garza (2020), Price Series Cross-Correlation Analysis to Enhance the Diversification of Itemset-based Stock Portfolios<\/a>, Proceedings of the Sixth International Workshop on Data Science for Macro-Modeling, DSMM 2020, In conjunction with the ACM SIGMOD\/PODS Conference, ISBN: 9781450380300\n<\/p>\n<\/li>\n

    <\/p>\n

  158. \n

    \nPaolo Bethaz, Riccardo Call\u00e0, Tania Cerquitelli, Arianna Montorsi, Claudia DE GIORGI (2020), Proactive user engagement via friendly survey and data-driven methodologies<\/a>, 2020 IEEE 36th International Conference on Data Engineering Workshops (ICDEW), ISBN: 978-1-7281-4266-1\n<\/p>\n<\/li>\n

    <\/p>\n

  159. \n

    \nAlessandro Farasin, Francesco Peciarolo, Marco Grangetto, Elena Gianaria, Paolo Garza (2020), Real-time object detection and tracking in mixed reality using Microsoft HoloLens<\/a>, SCITEPRESS \u2013 Science and Technology Publications, Lda, ISBN: 978-989-758-402-2\n<\/p>\n<\/li>\n

    <\/p>\n

  160. \n

    \nGianluca Perna, Martino Trevisan, Danilo Giordano (2020), Realistic testing of RTC applications under mobile networks<\/a>, Proceedings of the 16th International Conference on emerging Networking EXperiments and Technologies, ISBN: 9781450379489\n<\/p>\n<\/li>\n

    <\/p>\n

  161. \n

    \nStefano Proto, Evelina DI CORSO, Daniele Apiletti, Luca Cagliero, Tania Cerquitelli, Giovanni Malnati, Davide Mazzucchi (2020), REDTag: A Predictive Maintenance Framework for Parcel Delivery Services<\/a>, IEEE ACCESS, ISSN: 2169-3536\n<\/p>\n<\/li>\n

    <\/p>\n

  162. \n

    \nAlessandro Farasin, Luca Colomba, Giulio Palomba, Giovanni Nini, Claudio Rossi (2020), Supervised Burned Areas delineation by means of Sentinel-2 imagery and Convolutional Neural Networks<\/a>, ISCRAM 2020 Conference Proceedings - 17th International Conference on Information Systems for Crisis Response And Management,\n<\/p>\n<\/li>\n

    <\/p>\n

  163. \n

    \nLuca Cagliero, Paolo Garza, Giuseppe Attanasio, Elena Baralis (2020), Training ensembles of faceted classification models for quantitative stock trading<\/a>, COMPUTING, ISSN: 0010-485X\n<\/p>\n<\/li>\n

    <\/p>\n

  164. \n

    \nLuca Cagliero, Lorenzo Canale, Laura Farinetti (2020), UNIFORM: Automatic Alignment of Open Learning Datasets<\/a>, 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC), ISBN: 978-1-7281-7303-0\n<\/p>\n<\/li>\n

    <\/p>\n

  165. \n

    \nT. Cerquitelli, D. Bowden, A. Marguglio, L. Morabito, C. Napione, S. Panicucci, N. Nikolakis, S. Makris, G. Coppo, S. Andolina, A. Macii, E. Macii, N. O'Mahony, P. Becker, S. Jung (2019), A fog computing approach for predictive maintenance<\/a>, Advanced Information Systems Engineering Workshops - CAiSE 2019 International Workshops, Rome, Italy, June 3-7, 2019, Proceedings, ISBN: 978-3-030-20947-6\n<\/p>\n<\/li>\n

    <\/p>\n

  166. \n

    \nA. S. Khatouni, F. Soro, D. Giordano (2019), A machine learning application for latency prediction in operational 4G networks<\/a>, 2019 IFIP\/IEEE Symposium on Integrated Network and Service Management, IM 2019, ISBN: 978-3-903176-15-7\n<\/p>\n<\/li>\n

    <\/p>\n

  167. \n

    \nFrancesco Ventura, Stefano Proto, Daniele Apiletti, Tania Cerquitelli, Simone Panicucci, Elena Baralis, Enrico Macii, Alberto Macii (2019), A new unsupervised predictive-model self-assessment approach that SCALEs<\/a>, 2019 IEEE International Congress on Big Data, ISBN: 978-1-7281-2772-9\n<\/p>\n<\/li>\n

    <\/p>\n

  168. \n

    \nAndrea Pasini, Elena Baralis, Paolo Garza, Davide Floriello, Michela Idiomi, Andrea Ortenzi, Simone Ricci (2019), Adaptive hierarchical clustering for petrographic image analysis<\/a>, CEUR Workshop Proceedings,\n<\/p>\n<\/li>\n

    <\/p>\n

  169. \n

    \nMirko Zaffaroni, Laura Lopez Fuentes, Alessandro Farasin, Paolo Garza, Harald Skinnemoen (2019), AI-Based Flood Event Understanding and Quantifying Using Online Media and Satellite Data<\/a>, Multimedia Satellite Task Flood Severity Estimation,\n<\/p>\n<\/li>\n

    <\/p>\n

  170. \n

    \nD. Floriello, A. Ortenzi, M. Idiomi, S. Ricci, A. Amendola, S. Carminati, E. Baralis, P. Garza, A. Pasini (2019), Automatic pore typing classification from 2D images<\/a>, Offshore Mediterranean Conference and Exhibition 2019, OMC 2019,\n<\/p>\n<\/li>\n

    <\/p>\n

  171. \n

    \nTania Cerquitelli, Stefano Proto, Francesco Ventura, Daniele Apiletti, ELENA MARIA Baralis (2019), Automating concept-drift detection by self-evaluating predictive model degradation<\/a>, ,\n<\/p>\n<\/li>\n

    <\/p>\n

  172. \n

    \nLuca Cagliero, SILVIA ANNA Chiusano, Elena Daraio, Paolo Garza (2019), CarPredictor: forecasting the number of free floating car sharing vehicles within restricted urban areas<\/a>, 2019 IEEE International Congress on Big Data, BigData Congress 2019, Milan, IT, July 8-13, 2019, ISBN: 978-1-7281-2772-9\n<\/p>\n<\/li>\n

    <\/p>\n

  173. \n

    \nLuca Cagliero, Giuseppe Attanasio, Paolo Garza, ELENA MARIA Baralis (2019), Combining news sentiment and technical analysis to predict stock trend reversal<\/a>, IEEE ICDM 2019 Workshops Proceedings,\n<\/p>\n<\/li>\n

    <\/p>\n

  174. \n

    \nAli Safari Khatouni, Martino Trevisan, Danilo Giordano (2019), Data-Driven Emulation of Mobile Access Networks<\/a>, Proceedings of the 15th International Conference on Network and Service Management (CNSM), ISBN: 978-3-903176-24-9\n<\/p>\n<\/li>\n

    <\/p>\n

  175. \n

    \nAndrea Pasini, Elena Baralis (2019), Detecting Anomalies in Image Classification by Means of Semantic Relationships<\/a>, Titolo volume non avvalorato, ISBN: 978-1-7281-1488-0\n<\/p>\n<\/li>\n

    <\/p>\n

  176. \n

    \nMOHAMMAD REZA Kavoosifar, Daniele Apiletti, ELENA MARIA Baralis, Paolo Garza, Benoit Huet (2019), Effective video hyperlinking by means of enriched feature sets and monomodal query combinations<\/a>, INTERNATIONAL JOURNAL OF MULTIMEDIA INFORMATION RETRIEVAL, ISSN: 2192-6611\n<\/p>\n<\/li>\n

    <\/p>\n

  177. \n

    \nT Cerquitelli, E. Macii, A Macii (2019), Elaborare i dati raccolti negli ambienti di produzione, creare valore e strutturare conoscenza: metodi, sfide e opportunit\u00e0<\/a>, Il futuro della fabbrica. La via italiana per il rinascimento della manifattura., ISBN: 978-88-98053-32-2\n<\/p>\n<\/li>\n

    <\/p>\n

  178. \n

    \nLuca. Cagliero, Paolo Garza, Elena Baralis (2019), ELSA: A multilingual document summarization algorithm based on frequent itemsets and latent semantic analysis<\/a>, ACM TRANSACTIONS ON INFORMATION SYSTEMS, ISSN: 1046-8188\n<\/p>\n<\/li>\n

    <\/p>\n

  179. \n

    \nEliana Pastor, ELENA MARIA Baralis (2019), Enhancing Interpretability of Black Box Models by means of Local Rules<\/a>, ,\n<\/p>\n<\/li>\n

    <\/p>\n

  180. \n

    \nE. Pastor, E. Baralis (2019), Explaining black box models by means of local rules<\/a>, Proceedings of the ACM Symposium on Applied Computing, ISBN: 9781450359337\n<\/p>\n<\/li>\n

    <\/p>\n

  181. \n

    \nT. Cerquitelli, G. Malnati, D. Apiletti (2019), Exploiting scalable machine-learning distributed frameworks to forecast power consumption of buildings<\/a>, ENERGIES, ISSN: 1996-1073\n<\/p>\n<\/li>\n

    <\/p>\n

  182. \n

    \nTania Cerquitelli, Evelina DI CORSO, Stefano Proto, Alfonso Capozzoli, Fabio Bellotti, MARIA GIOVANNA Cassese, ELENA MARIA Baralis, Marco Mellia, Silvia Casagrande, Martina Tamburini (2019), Exploring energy performance certificates through visualization<\/a>, Proceedings of the Workshops of the EDBT\/ICDT 2019 Joint Conference,EDBT\/ICDT 2019, Lisbon, Portugal, March 26, 2019.,\n<\/p>\n<\/li>\n

    <\/p>\n

  183. \n

    \nFlavio Giobergia, ELENA MARIA Baralis (2019), Fast Self-Organizing Maps Training<\/a>, 2019 IEEE International Conference on Big Data,\n<\/p>\n<\/li>\n

    <\/p>\n

  184. \n

    \nAndrea Acquaviva, Daniele Apiletti, Antonio Attanasio, ELENA MARIA Baralis, Lorenzo Bottaccioli, Tania Cerquitelli, SILVIA ANNA Chiusano, Enrico Macii, Edoardo Patti (2019), Forecasting Heating Consumption in Buildings: A Scalable Full-Stack Distributed Engine<\/a>, ELECTRONICS, ISSN: 2079-9292\n<\/p>\n<\/li>\n

    <\/p>\n

  185. \n

    \nMichele Cocca, Danilo Giordano, Marco Mellia, Luca Vassio (2019), Free floating electric car sharing design: Data driven optimisation<\/a>, PERVASIVE AND MOBILE COMPUTING, ISSN: 1574-1192\n<\/p>\n<\/li>\n

    <\/p>\n

  186. \n

    \nMichele Cocca, Danilo Giordano, Marco Mellia, Luca Vassio (2019), Free Floating Electric Car Sharing: A Data Driven Approach for System Design<\/a>, IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, ISSN: 1524-9050\n<\/p>\n<\/li>\n

    <\/p>\n

  187. \n

    \nD. Markudova, E. Baralis, L. Cagliero, M. Mellia, L. Vassio, E. Amparore, R. Loti, L. Salvatori (2019), Heterogeneous industrial vehicle usage predictions: A real case<\/a>, CEUR Workshop Proceedings,\n<\/p>\n<\/li>\n

    <\/p>\n

  188. \n

    \nLorenzo Bottaccioli, Edoardo Patti, Anna Osello, Tania Cerquitelli, Enrico Macii, Andrea (ADVANCES IN ENVIRONMENTAL ENGINEERING AND GREEN TECHNOLOGIES BOOK SERIES) Acquaviva (2019), IoT Platforms and Technologies Driving Spatial Planning and Analytics<\/a>, Spatial Planning in the Big Data Revolution, ISBN: 9781522579274\n<\/p>\n<\/li>\n

    <\/p>\n

  189. \n

    \nV. Pinto, A. Perotti, T. Cerquitelli (2019), Modeling Urban Traffic Data Through Graph-Based Neural Networks<\/a>, Recent Advances in Big Data and Deep Learning, Proceedings of the INNS Big Data and Deep Learning Conference INNSBDDL 2019, held at Sestri Levante, Genova, Italy 16-18 April 2019, ISBN: 978-3-030-16840-7\n<\/p>\n<\/li>\n

    <\/p>\n

  190. \n

    \nMoreno LA QUATRA, Luca Cagliero, ELENA MARIA Baralis (2019), Poli2Sum@ CL-SciSumm-19: Identify, Classify, and Summarize Cited Text Spans by means of Ensembles of Supervised Models<\/a>, Proceedings of the 4th Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019),\n<\/p>\n<\/li>\n

    <\/p>\n

  191. \n

    \nStefano Proto, Francesco Ventura, Daniele Apiletti, Tania Cerquitelli, ELENA MARIA Baralis, Enrico Macii, Alberto Macii (2019), PREMISES, a scalable data-driven service to predict alarms in slowly-degrading multi-cycle industrial processes<\/a>, 2019 IEEE International Congress on Big Data, ISBN: 978-1-7281-2772-9\n<\/p>\n<\/li>\n

    <\/p>\n

  192. \n

    \nGiuseppe Attanasio, Luca Cagliero, Paolo Garza, Elena Baralis (2019), Quantitative cryptocurrency trading: exploring the use of machine learning techniques<\/a>, Proceedings of the 5th workshop on data science for macro-modeling with financial and economic datasets, ISBN: 9781450368230\n<\/p>\n<\/li>\n

    <\/p>\n

  193. \n

    \nLuca Cagliero, Laura Farinetti, ELENA MARIA Baralis (2019), Recommending Personalized Summaries of Teaching Materials<\/a>, IEEE ACCESS, ISSN: 2169-3536\n<\/p>\n<\/li>\n

    <\/p>\n

  194. \n

    \nR. Pinto, T. Cerquitelli (2019), Robot fault detection and remaining life estimation for predictive maintenance<\/a>, Procedia Computer Science,\n<\/p>\n<\/li>\n

    <\/p>\n

  195. \n

    \nEvelina DI CORSO (2019), Text miner's little helper: scalable self-tuning methodologies for knowledge exploration<\/a>, ,\n<\/p>\n<\/li>\n

    <\/p>\n

  196. \n

    \nTania Cerquitelli, Stefano Proto, Francesco Ventura, Daniele Apiletti, ELENA MARIA Baralis (2019), Towards a real-time unsupervised estimation of predictive model degradation<\/a>, Proceedings of the International Workshop on Real-Time Business Intelligence and Analytics, BIRTE 2019, Los Angeles, CA, USA, August 26, 2019, ISBN: 978-1-4503-7660-0\n<\/p>\n<\/li>\n

    <\/p>\n

  197. \n

    \nAntonio Attanasio, Marco Piscitelli, Silvia Chiusano, Alfonso Capozzoli, Tania Cerquitelli (2019), Towards an Automated, Fast and Interpretable Estimation Model of Heating Energy Demand: A Data-Driven Approach Exploiting Building Energy Certificates<\/a>, ENERGIES, ISSN: 1996-1073\n<\/p>\n<\/li>\n

    <\/p>\n

  198. \n

    \nEvelina DI CORSO, Stefano Proto, Tania Cerquitelli, SILVIA ANNA Chiusano (2019), Towards automated visualisation of scientic literature<\/a>, New Trends in Databases and Information Systems, {ADBIS} 2019 Short Papers, Workshops BBIGAP, QAUCA, SemBDM, SIMPDA, M2P, MADEISD, and Doctoral Consortium, Bled, Slovenia, September 8-11, 2019, Proceedings, ISBN: 978-3-030-30277-1\n<\/p>\n<\/li>\n

    <\/p>\n

  199. \n

    \nMatteo Nisi, Daniela Renga, Daniele Apiletti, Danilo Giordano, Tao Huang, Yang Zhang, Marco Mellia, ELENA MARIA Baralis (2019), Transparently mining data from a medium-voltage distribution network: a prognostic-diagnostic analysis<\/a>, 2019 Workshops of the EDBT\/ICDT Joint Conference,\n<\/p>\n<\/li>\n

    <\/p>\n

  200. \n

    \nAlessandro Farasin, Giovanni Nini, Paolo Garza, Claudio Rossi (2019), Unsupervised Burned Area Estimation through Satellite Tiles: A multimodal approach by means of image segmentation over remote sensing imagery<\/a>, CEUR Workshop Proceedings,\n<\/p>\n<\/li>\n

    <\/p>\n

  201. \n

    \nLuca Cagliero, Lorenzo Canale, Laura Farinetti (2019), VISA: A supervised approach to indexing video lectures with semantic annotations<\/a>, 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC), ISBN: 978-1-7281-2607-4\n<\/p>\n<\/li>\n

    <\/p>\n

  202. \n

    \nT. Cerquitelli, E. Di Corso, S. Proto, A. Capozzoli, D. Mazzarelli, A. Nasso, E. Baralis, M. Mellia, S. Casagrande, M. Tamburini (2019), Visualising high-resolution energy maps through the exploratory analysis of energy performance certificates<\/a>, SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies, ISBN: 978-1-7281-1156-8\n<\/p>\n<\/li>\n

    <\/p>\n

  203. \n

    \nFrancesco Ventura, Tania Cerquitelli (2019), What's in the box? Explaining the black-box model through an evaluation\r\n of its interpretable features<\/a>, ,\n<\/p>\n<\/li>\n

    <\/p>\n

  204. \n

    \nElena Baralis, Paolo Garza, Eliana Pastor (2018), A Density-based Preprocessing Technique to Scale Out Clustering<\/a>, Proceedings of the 2018 IEEE International Conference on Big Data (Big Data), ISBN: 978-1-5386-5035-6\n<\/p>\n<\/li>\n

    <\/p>\n

  205. \n

    \nBrunella Roberta Daniela Caroleo, Enrico Palumbo, Michele Osella, Antonio Lotito, Giuseppe Rizzo, ENRICO GIOVANNI Ferro, Antonio Attanasio, SILVIA ANNA Chiusano, Giulio Zuccaro, Mattia Leone, Daniela DE GREGORIO (2018), A Knowledge-Based Multi-Criteria Decision Support System Encompassing Cascading Effects For Disaster Management<\/a>, INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, ISSN: 0219-6220\n<\/p>\n<\/li>\n

    <\/p>\n

  206. \n

    \nL. Cagliero, P. Garza, Andrea Pasini, E. Baralis (2018), Additional reviewer assignment by means of weighted association rules<\/a>, IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING, ISSN: 2168-6750\n<\/p>\n<\/li>\n

    <\/p>\n

  207. \n

    \nEnrico Palumbo, Giuseppe Rizzo, Raphael Troncy, ELENA MARIA Baralis, Michele Osella, ENRICO GIOVANNI Ferro (2018), An empirical comparison of knowledge graph embeddings for item recommendation<\/a>, Workshop on Deep Learning for Knowledge Graphs and Semantic Technologies 2018,\n<\/p>\n<\/li>\n

    <\/p>\n

  208. \n

    \nFrancesco Ventura, Tania Cerquitelli, Francesco Giacalone (2018), Black-Box Model Explained Through an Assessment of Its Interpretable Features<\/a>, New Trends in Databases and Information Systems - ADBIS 2018 ShortPapers and Workshops, AI*QA, BIGPMED, CSACDB, M2U, BigDataMAPS, ISTREND,DC, Budapest, Hungary, September, 2-5, 2018, Proceedings, ISBN: 978-3-030-00063-9\n<\/p>\n<\/li>\n

    <\/p>\n

  209. \n

    \nElena Daraio, Evelina DI CORSO, Tania Cerquitelli, SILVIA ANNA Chiusano (2018), Characterizing Air-Quality Data Through Unsupervised Analytics Methods<\/a>, New Trends in Databases and Information Systems - ADBIS 2018 ShortPapers and Workshops, AI*QA, BIGPMED, CSACDB, M2U, BigDataMAPS, ISTREND,DC, Budapest, Hungary, September, 2-5, 2018, Proceedings, ISBN: 978-3-030-00062-2\n<\/p>\n<\/li>\n

    <\/p>\n

  210. \n

    \nLuca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Giuseppe Ricupero, Elena Baralis (2018), Characterizing situations of dock overload in bicycle sharing stations<\/a>, APPLIED SCIENCES, ISSN: 2076-3417\n<\/p>\n<\/li>\n

    <\/p>\n

  211. \n

    \nLuca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Antonio Attanasio (2018), Characterizing unpredictable patterns in Wireless Sensor Network data<\/a>, INFORMATION SCIENCES, ISSN: 0020-0255\n<\/p>\n<\/li>\n

    <\/p>\n

  212. \n

    \nTania Cerquitelli, Gianfranco Chicco, Evelina Di Corso, Francesco Ventura, Montesano Giuseppe, Armiento Mirko, Mateo Gonz\u00e1lez Alicia, Veiga Santiago Andrea (2018), Clustering-Based Assessment of Residential Consumers from Hourly-Metered Data<\/a>, International Conference on Smart Energy System and Technologies - SEST 2018, Sevilla, Spain, September, 10-12, 2018, Proceedings,\n<\/p>\n<\/li>\n

    <\/p>\n

  213. \n

    \nMichele Cocca, Danilo Giordano, Marco Mellia, Luca Vassio (2018), Data Driven Optimization of Charging Station Placement for EV Free Floating Car Sharing<\/a>, 21st International Conference on Intelligent Transportation Systems (ITSC), ISBN: 978-1-7281-0321-1\n<\/p>\n<\/li>\n

    <\/p>\n

  214. \n

    \nELENA MARIA Baralis, Tania Cerquitelli, SILVIA ANNA Chiusano, R. (STUDIES IN BIG DATA) Meo (2018), Data Mining in Databases: Languages and Indices<\/a>, A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years, ISBN: 978-3-319-61892-0\n<\/p>\n<\/li>\n

    <\/p>\n

  215. \n

    \nLaura Lopez-Fuentes, Alessandro Farasin, Harald Skinnemoen, Paolo Garza (2018), Deep Learning Models for Passability Detection of Flooded Roads<\/a>, Multimedia Benchmark Workshop 2018,\n<\/p>\n<\/li>\n

    <\/p>\n

  216. \n

    \nEliana Pastor (2018), Deriving Local Internal Logic for Black Box Models<\/a>, Proceedings of the 26th Italian Symposium on Advanced Database Systems,Castellaneta Marina (Taranto), Italy, June 24-27, 2018.,\n<\/p>\n<\/li>\n

    <\/p>\n

  217. \n

    \nLuca Cagliero, Paolo Garza, Mohammad Reza Kavoosifar, Elena Baralis (2018), Discovering cross-topic collaborations among researchers by exploiting weighted association rules<\/a>, SCIENTOMETRICS, ISSN: 0138-9130\n<\/p>\n<\/li>\n

    <\/p>\n

  218. \n

    \nTania Cerquitelli, Gianfranco Chicco, Evelina DI CORSO, Francesco Ventura, Giuseppe Montesano, Anita Del Pizzo, Alicia Mateo Gonz\u00e1lez, Eduardo Martin Sobrino (2018), Discovering electricity consumption over time for residential consumers through cluster analysis<\/a>, 2018 International Conference on Development and Application Systems (DAS), ISBN: 978-1-5386-1493-8\n<\/p>\n<\/li>\n

    <\/p>\n

  219. \n

    \nMartino Trevisan, Danilo Giordano, Idilio Drago, Marco Mellia, Maurizio Munafo (2018), Five Years at the Edge: Watching Internet from the ISP Network<\/a>, Proceedings of the 14th International Conference on Emerging Networking EXperiments and Technologies (CoNEXT 2018), ISBN: 9781450360807\n<\/p>\n<\/li>\n

    <\/p>\n

  220. \n

    \nMichele Cocca, Danilo Giordano, Marco Mellia, Luca Vassio (2018), Free Floating Electric Car Sharing in Smart Cities: Data Driven System Dimensioning<\/a>, 2018 IEEE International Conference on Smart Computing (SMARTCOMP), ISBN: 978-1-5386-4705-9\n<\/p>\n<\/li>\n

    <\/p>\n

  221. \n

    \nELENA MARIA Baralis, Luca Cagliero (2018), Highlighter: automatic highlighting of electronic learning documents<\/a>, IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING, ISSN: 2168-6750\n<\/p>\n<\/li>\n

    <\/p>\n

  222. \n

    \nLuca Cagliero, Luigi DE RUSSIS, Laura Farinetti, Teodoro Montanaro (2018), Improving the effectiveness of SQL learning practice: a data-driven approach<\/a>, 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC), ISBN: 978-1-5386-2666-5\n<\/p>\n<\/li>\n

    <\/p>\n

  223. \n

    \nDaniele Apiletti, Claudia Barberis, Tania Cerquitelli, Alberto Macii, Enrico Macii, Massimo Poncino, Francesco Ventura (2018), iSTEP, an Integrated Self-Tuning Engine for Predictive Maintenance in Industry 4.0<\/a>, IEEE International Conference on Parallel & Distributed Processing with Applications, Ubiquitous Computing & Communications, Big Data & Cloud Computing, Social Computing & Networking, Sustainable Computing & Communications, ISPA\/IUCC\/BDCloud\/SocialCom\/Sus, ISBN: 978-1-7281-1141-4\n<\/p>\n<\/li>\n

    <\/p>\n

  224. \n

    \nEnrico Palumbo, Giuseppe Rizzo, Raphael Troncy, ELENA MARIA Baralis, Michele Osella, ENRICO GIOVANNI Ferro (2018), Knowledge Graph Embeddings with node2vec for Item Recommendation<\/a>, The Semantic Web: ESWC 2018 Satellite Events, ISBN: 978-3-319-98192-5\n<\/p>\n<\/li>\n

    <\/p>\n

  225. \n

    \nEvelina Di Corso, Tania Cerquitelli, Daniele Apiletti (2018), METATECH: METeorological Data Analysis for Thermal Energy CHaracterization by Means of Self-Learning Transparent Models<\/a>, ENERGIES, ISSN: 1996-1073\n<\/p>\n<\/li>\n

    <\/p>\n

  226. \n

    \nFlavio Giobergia, Elena Baralis, Maria Camuglia, Alessandra Neri, Davide Tricarico, Alessia Tuninetti (2018), Method and System for Predicting System Status<\/a>, ,\n<\/p>\n<\/li>\n

    <\/p>\n

  227. \n

    \nFlavio Giobergia, Elena Baralis, Maria Camuglia, Tania Cerquitelli, Marco Mellia, Alessandra Neri, Davide Tricarico, Alessia Tuninetti (2018), Mining Sensor Data for Predictive Maintenance in the Automotive Industry<\/a>, IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA) 2018, ISBN: 978-1-5386-5090-5\n<\/p>\n<\/li>\n

    <\/p>\n

  228. \n

    \nLia Morra, Nunzia Coccia, Tania Cerquitelli (2018), Optimization of Computer Aided Detection systems: an evolutionary approach<\/a>, EXPERT SYSTEMS WITH APPLICATIONS, ISSN: 0957-4174\n<\/p>\n<\/li>\n

    <\/p>\n

  229. \n

    \nAlessandro Farasin, Paolo Garza (2018), PERCEIVE: Precipitation Data Characterization by means on Frequent Spatio-Temporal Sequences<\/a>, ISCRAM 2018 Conference Proceedings \u2013 15th International Conference on Information Systems for Crisis Response and Management, ISBN: 978-0-692-12760-5\n<\/p>\n<\/li>\n

    <\/p>\n

  230. \n

    \nE. Volpi, M. Di Lazzaro, Miriam Bertola, A. Viglione, A. Fiori (2018), Reservoir Effects on Flood Peak Discharge at the Catchment Scale<\/a>, WATER RESOURCES RESEARCH, ISSN: 0043-1397\n<\/p>\n<\/li>\n

    <\/p>\n

  231. \n

    \nLuca Cagliero, Paolo Garza (2018), Study of the applicability of an itemset-based portfolio planner in a multi-market context<\/a>, CEUR Workshop Proceedings,\n<\/p>\n<\/li>\n

    <\/p>\n

  232. \n

    \nEnrico Palumbo, Giuseppe Rizzo, Troncy Raphael, ELENA MARIA Baralis, Michele Osella, Enrico Ferro (2018), Translational Models for Item Recommendation<\/a>, ESWC 2018: The Semantic Web: ESWC 2018 Satellite Event,\n<\/p>\n<\/li>\n

    <\/p>\n

  233. \n

    \nStefano Proto, Evelina DI CORSO, Francesco Ventura, Tania Cerquitelli (2018), Useful ToPIC: Self-tuning strategies to enhance Latent Dirichlet Allocation<\/a>, 2018 IEEE International Congress on Big Data, BigData Congress 2018, San Francisco, CA, USA, July 2-7, 2018, ISBN: 978-1-5386-7232-7\n<\/p>\n<\/li>\n

    <\/p>\n

  234. \n

    \nDaniele Apiletti, Elena Baralis, Tania Cerquitelli, Paolo Garza, Fabio Pulvirenti, Pietro Michiardi (2017), A Parallel MapReduce Algorithm to Efficiently Support Itemset Mining on High Dimensional Data<\/a>, BIG DATA RESEARCH, ISSN: 2214-5796\n<\/p>\n<\/li>\n

    <\/p>\n

  235. \n

    \nEvelina Di Corso, Francesco Ventura, Tania Cerquitelli (2017), All in a twitter: Self-tuning strategies for a deeper understanding of a crisis tweet collection<\/a>, Proceedings of IEEE International Conference on Big Data 2017, ISBN: 978-1-5386-2715-0\n<\/p>\n<\/li>\n

    <\/p>\n

  236. \n

    \nLuca Venturini, Evelina DI CORSO (2017), Analyzing spatial data from twitter during a disaster<\/a>, Proceedings of 2017 IEEE International Conference on Big Data, ISBN: 978-1-5386-2715-0\n<\/p>\n<\/li>\n

    <\/p>\n

  237. \n

    \nTania Cerquitelli, Evelina DI CORSO, Francesco Ventura, SILVIA ANNA Chiusano (2017), Data miners' little helper: data transformation activity cues for cluster analysis on document collections<\/a>, Proceedings of the 7th International Conference on Web Intelligence, Mining and Semantics, ISBN: 978-1-4503-5225-3\n<\/p>\n<\/li>\n

    <\/p>\n

  238. \n

    \nLuca Cagliero, SILVIA ANNA Chiusano, Paolo Garza, Giuseppe Ricupero (2017), Discovering High-Utility Itemsets at Multiple Abstraction Levels<\/a>, Proceedings of the New Trends in Databases and Information Systems - ADBIS 2017 Short Papers and Workshops, AMSD, BigNovelTI, DAS, SW4CH, DC, Nicosia, Cyprus, September 24-27, 2017, Proceedings, ISBN: 978-3-319-67161-1\n<\/p>\n<\/li>\n

    <\/p>\n

  239. \n

    \nELENA MARIA Baralis, Luca Cagliero, Tania Cerquitelli, Paolo Garza, Fabio Pulvirenti (2017), Discovering profitable stocks for intraday trading<\/a>, INFORMATION SCIENCES, ISSN: 0020-0255\n<\/p>\n<\/li>\n

    <\/p>\n

  240. \n

    \nLuca Cagliero, Laura Farinetti, Marco Mezzalama, Enrico Venuto, ELENA MARIA Baralis (2017), Educational video services in universities: a systematic effectiveness analysis<\/a>, 2017 IEEE Frontiers in Education Conference (FIE), ISBN: 978-1-5090-5920-1\n<\/p>\n<\/li>\n

    <\/p>\n

  241. \n

    \nHuet Benoit, E. Baralis, P. Garza, MOHAMMAD REZA Kavoosifar (2017), Eurecom-Polito at TRECVID 2017: Hyperlinking task<\/a>, 2017 TRECVID Workshop Proceedings,\n<\/p>\n<\/li>\n

    <\/p>\n

  242. \n

    \nELENA MARIA Baralis, Luca Cagliero, Laura Farinetti, Marco Mezzalama, Enrico Venuto (2017), Experimental validation of a massive educational service in a blended learning environment<\/a>, 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC), ISBN: 978-1-5386-0367-3\n<\/p>\n<\/li>\n

    <\/p>\n

  243. \n

    \nEvelina DI CORSO, Tania Cerquitelli, MARCO SAVINO Piscitelli, Alfonso Capozzoli (2017), Exploring energy certificates of buildings through unsupervised data mining techniques<\/a>, 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), ISBN: 978-1-5386-3066-2\n<\/p>\n<\/li>\n

    <\/p>\n

  244. \n

    \nDaniele Apiletti, ELENA MARIA Baralis, Tania Cerquitelli, Paolo Garza, Fabio Pulvirenti, Luca Venturini (2017), Frequent Itemsets Mining for Big Data: A Comparative Analysis<\/a>, BIG DATA RESEARCH, ISSN: 2214-5796\n<\/p>\n<\/li>\n

    <\/p>\n

  245. \n

    \nGiuseppe Attanasio, Alberto Cannavo', Francesca Cibrario, Fabrizio Lamberti, Paolo Montuschi, Gianluca Paravati (2017), HOT: Hold your own tools for AR-based constructive art<\/a>, Proc. IEEE Symposium on 3D User Interfaces 2017 (IEEE 3DUI 2017), ISBN: 978-150906716-9\n<\/p>\n<\/li>\n

    <\/p>\n

  246. \n

    \nLuca Cagliero, Paolo Garza, MOHAMMAD REZA Kavoosifar, ELENA MARIA Baralis (2017), Identifying collaborations among researchers: a pattern-based approach<\/a>, Proceedings of the 2nd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2017) co-located with the 40th International ACM SIGIR Conference on Research and Development in Information,\n<\/p>\n<\/li>\n

    <\/p>\n

  247. \n

    \nDanilo Giordano (2017), Machine Learning and Big Data Methodologies for Network Traffic Monitoring<\/a>, ,\n<\/p>\n<\/li>\n

    <\/p>\n

  248. \n

    \nA. Behrend, D. Calvanese, Tania Cerquitelli, SILVIA ANNA Chiusano, C Engels, S. Jean, N. Kozmina, B Markho, O. Romero, S. Vahdati (2017), New Trends in Databases and Information Systems: Contributions from ADBIS 2017 workshops<\/a>, New Trends in Databases and Information Systems - {ADBIS} 2017 Short Papers and Workshops, AMSD, BigNovelTI, DAS, SW4CH, DC, Nicosia, Cyprus, September 24-27, 2017, Proceedings, ISBN: 978-3-319-67161-1\n<\/p>\n<\/li>\n

    <\/p>\n

  249. \n

    \nElena Baralis, Luca Cagliero, Paolo Garza (2017), Planning stock portfolios by means of weighted frequent itemsets<\/a>, EXPERT SYSTEMS WITH APPLICATIONS, ISSN: 0957-4174\n<\/p>\n<\/li>\n

    <\/p>\n

  250. \n

    \nLuca Cagliero, SILVIA ANNA Chiusano, Tania Cerquitelli, Paolo Garza, Xin Xiao (2017), Predicting critical conditions in bicycle sharing systems<\/a>, COMPUTING, ISSN: 0010-485X\n<\/p>\n<\/li>\n

    <\/p>\n

  251. \n

    \nTania Cerquitelli (2017), Predicting large scale fine grain energy consumption<\/a>, ENERGY PROCEDIA, ISSN: 1876-6102\n<\/p>\n<\/li>\n

    <\/p>\n

  252. \n

    \nEnrico Palumbo, Giuseppe Rizzo, Rapha\u00ebl Troncy, ELENA MARIA Baralis (2017), Predicting Your Next Stop-over from Location-based Social Network Data with Recurrent Neural Networks<\/a>, CEUR WORKSHOP PROCEEDINGS,\n<\/p>\n<\/li>\n

    <\/p>\n

  253. \n

    \nT. Cerquitelli, E. Di Corso, F. Ventura, S. Chiusano (2017), Prompting the data transformation activities for cluster analysis on collections of documents<\/a>, Proceedings of the 25th Italian Symposium on Advanced Database Systems, Squillace Lido (Catanzaro), Italy, June 25-29, 2017,\n<\/p>\n<\/li>\n

    <\/p>\n

  254. \n

    \nLuca Venturini, Elena Baralis, Paolo Garza (2017), Scaling associative classification for very large datasets<\/a>, JOURNAL OF BIG DATA, ISSN: 2196-1115\n<\/p>\n<\/li>\n

    <\/p>\n

  255. \n

    \nEvelina DI CORSO, Tania Cerquitelli, Francesco Ventura (2017), Self-tuning techniques for large scale cluster analysis on textual data collections<\/a>, Proceedings of the 32nd Annual ACM Symposium on Applied Computing, Marrakesh, Morocco, April 3rd-7th, 2017,\n<\/p>\n<\/li>\n

    <\/p>\n

  256. \n

    \nELENA MARIA Baralis, Andrea Dalla Valle, Paolo Garza, Claudio Rossi, Francesco Scullino (2017), SQL versus NoSQL Databases for Geospatial Applications<\/a>, Proceedings of the 2nd IEEE International Workshop on Big Spatial Data in conjunction with 2017 IEEE International Conference on Big Data,\n<\/p>\n<\/li>\n

    <\/p>\n

  257. \n

    \nLuca Cagliero (2017), Summarization of emergency news articles driven by relevance feedback<\/a>, Titolo volume non avvalorato, ISBN: 978-1-5386-2715-0\n<\/p>\n<\/li>\n

    <\/p>\n

  258. \n

    \nLuca Cagliero, Laura Farinetti, ELENA MARIA Baralis (2017), Test-driven summarization: combining formative assessment with teaching document summarization<\/a>, 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC), ISBN: 978-1-5386-0367-3\n<\/p>\n<\/li>\n

    <\/p>\n

  259. \n

    \nTania Cerquitelli, D. Quercia, F. Pasquale (2017), Transparent Data Mining for Big and Small Data<\/a>, ,\n<\/p>\n<\/li>\n

    <\/p>\n

  260. \n

    \nXin Xiao, Antonio Attanasio, SILVIA ANNA Chiusano, Tania Cerquitelli (2017), Twitter data laid almost bare: An insightful exploratory analyser<\/a>, EXPERT SYSTEMS WITH APPLICATIONS, ISSN: 0957-4174\n<\/p>\n<\/li>\n

    <\/p>\n

  261. \n

    \nAlessandro Ciociola, Michele Cocca, Danilo Giordano, Marco Mellia, Andrea Morichetta, Andrian Putina, Flavia Salutari (2017), UMAP: Urban Mobility Analysis Platform to Harvest Car Sharing Data<\/a>, Proceedings of the IEEE Conference on Smart City Innovations, ISBN: 978-1-5386-0435-9\n<\/p>\n<\/li>\n

    <\/p>\n

  262. \n

    \nDanilo Giordano, Stefano Traverso, Marco Mellia, Luigi Grimaudo, ELENA MARIA Baralis, Alok Tongaonkar, Sabyasachi Saha, Antonio Nucci (2017), Unsupervised methodology to unveil content delivery network structures<\/a>, ,\n<\/p>\n<\/li>\n

    <\/p>\n

  263. \n

    \nLuca Vassio, Danilo Giordano, Martino Trevisan, Marco Mellia, Ana Paula Couto da Silva (2017), Users\u2019 Fingerprinting Techniques from TCP Traffic<\/a>, Proceedings of the Workshop on Big Data Analytics and Machine Learning for Data Communication Networks,\n<\/p>\n<\/li>\n

    <\/p>\n

  264. \n

    \nDaniele Rege Cambrin, Daniele Apiletti, Paolo Garza, A Model-based Curriculum Learning Strategy for Training SegFormer<\/a>, Titolo volume non avvalorato,\n<\/p>\n<\/li>\n

    <\/p>\n

  265. \n

    \nJacopo Fior, Luca Cagliero, A risk-aware approach to stock portfolio allocation based on Deep Q-Networks<\/a>, The 16th IEEE International Conference on Application of Information and Communication Technologies,\n<\/p>\n<\/li>\n

    <\/p>\n

  266. \n

    \nLuca Cagliero, Andrea Avignone, Silvia Chiusano, Discovering SpatioTemporal Warning Contexts from non-emergency call reports<\/a>, Communications in Computer and Information Science,\n<\/p>\n<\/li>\n

    <\/p>\n

  267. \n

    \nDavide Napolitano, Lorenzo Vaiani, Luca Cagliero, Enhancing BERT-Based Visual Question Answering through Keyword-Driven Sentence Selection<\/a>, Workshop on Document Intelligence Understanding,\n<\/p>\n<\/li>\n

    <\/p>\n

  268. \n

    \nAndrea Avignone, Alessandro Fiori, Silvia Chiusano, Giuseppe Rizzo, Generation of textual\/video descriptions for technological products based on structured data<\/a>, Titolo volume non avvalorato,\n<\/p>\n<\/li>\n

    <\/p>\n

  269. \n

    \nAlessandro Fiori, Alberto Grand, Emanuele Geda, Domenico Schioppa, FRANCESCO GAVINO Brundu, Andrea Mignone, Andrea - In: Handbook of Research on Emerging Developments and Practices in Oncology[s.l] Bertotti, LAS: a bio-clinical integrated laboratory information system for translational data management<\/a>, Handbook of Research on Emerging Developments and Practices in Oncology,\n<\/p>\n<\/li>\n

    <\/p>\n

  270. \n

    \nSimone Monaco, Sebastiano Barresi, Daniele Apiletti, Lorentz-invariant augmentation for high-energy physics<\/a>, Communications in Computer and Information Science,\n<\/p>\n<\/li>\n

    <\/p>\n

  271. \n

    \nBrunella Caroleo, Silvia Chiusano, Elena Daraio, Andrea Avignone, Eleonora Gastaldi, Mauro Paoletti, Maurizio Arnone, Machine Learning methods to forecast public transport demand based on Smart Card validations<\/a>, Titolo volume non avvalorato,\n<\/p>\n<\/li>\n

    <\/p>\n

  272. \n

    \nBartolomeo Vacchetti, Tania Cerquitelli, Movie Lens: Discovering and Characterizing\r\nEditing Patterns in the Analysis of Short Movie\r\nSequences<\/a>, Titolo volume non avvalorato,\n<\/p>\n<\/li>\n

    <\/p>\n

  273. \n

    \nAlkis Koudounas, Flavio Giobergia, Elena Baralis, Time-of-Flight Cameras in Space: Pose Estimation with Deep Learning Methodologies<\/a>, IEEE International Conference Application of Information and Communication Technologies,\n<\/p>\n<\/li>\n

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