DataBase and Data Mining Group

Publications

  1. Marco Cipriano, Luca Colomba, Paolo Garza (2021), A Data-Driven Based Dynamic Rebalancing Methodology for Bike Sharing Systems, APPLIED SCIENCES, ISSN: 2076-3417

  2. Angelo Marguglio, Giuseppe Veneziano, Pietro Greco, Sven Jung, Robert Siegburg, Robert H., Schmitt, Simone Monaco, Daniele Apiletti, Nikolaos Nikolakis, Tania Cerquitelli, Enrico Macii (2021), A hybrid cloud-to-edge predictive maintenance platform, Predictive Maintenance in Smart Factories,

  3. Danilo Giordano, Luca Vassio, Luca Cagliero (2021), A multi-faceted characterization of free-floating car sharing service usage, TRANSPORTATION RESEARCH. PART C, EMERGING TECHNOLOGIES, ISSN: 0968-090X

  4. Luca Cagliero, Moreno La Quatra (2021), Automatic slides generation in the absence of training data, 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC),

  5. Matteo Corain, Paolo Garza, Abolfazl Asudeh (2021), DBSCOUT: A Density-based Method for Scalable Outlier Detection in Very Large Datasets, Titolo volume non avvalorato, ISBN: 978-1-7281-9184-3

  6. Martino Trevisan, Luca Vassio, Danilo Giordano (2021), Debate on online social networks at the time of COVID-19: An Italian case study, ONLINE SOCIAL NETWORKS AND MEDIA, ISSN: 2468-6964

  7. Danilo 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, EXPERT SYSTEMS WITH APPLICATIONS, ISSN: 0957-4174

  8. Simone Monaco, Andrea Pasini, Daniele Apiletti, Luca Colomba, Alessandro Farasin, Paolo Garza, Elena Baralis (2021), Double-Step deep learning framework to improve wildfire severity classification, 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

  9. Tania 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, EXPERT SYSTEMS WITH APPLICATIONS, ISSN: 0957-4174

  10. Paolo Bethaz, Tania Cerquitelli (2021), Enhancing the friendliness of data analytics tasks: an automated methodology, Titolo volume non avvalorato,

  11. Jacopo Fior, Luca Cagliero (2021), Estimating the incidence of adverse weather effects on road traffic safety using time series embeddings, 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC),

  12. Francesco Ventura (2021), Explaining black-box deep neural models' predictions, behaviors, and performances through the unsupervised mining of their inner knowledge, ,

  13. Eliana Pastor, Andrew Gavgavian, Elena Baralis, Luca de Alfaro (2021), How Divergent Is Your Data?, Proceedings of the VLDB Endowment,

  14. Danilo Giordano, Marco Mellia, Tania Cerquitelli (2021), K-MDTSC: K-Multi-Dimensional Time-Series Clustering Algorithm, ELECTRONICS, ISSN: 2079-9292

  15. M. La Quatra, L. Cagliero, E. Baralis (2021), Leveraging full-text article exploration for citation analysis, SCIENTOMETRICS, ISSN: 0138-9130

  16. Tania 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, PROCEEDINGS OF THE IEEE, ISSN: 0018-9219

  17. Martino Trevisan, Danilo Giordano, Idilio Drago, Ali Safari Khatouni (2021), Measuring HTTP/3: Adoption and Performance, Proceedings of the 2021 19th Mediterranean Communication and Computer Networking Conference (MedComNet), ISBN: 978-1-6654-3590-1

  18. Gianluca Perna, Dena Markudova, Martino Trevisan, Paolo Garza, Michela Meo, Maurizio Munafò, Giovanna Carofiglio (2021), Online Classification of RTC Traffic, Proceedings of the 2021 IEEE 18th Annual Consumer Communications & Networking Conference, ISBN: 978-1-7281-9794-4

  19. L. Cagliero, L. Canale, L. Farinetti, E. Baralis, E. Venuto (2021), Predicting student academic performance by means of associative classification, APPLIED SCIENCES, ISSN: 2076-3417

  20. Paolo Bethaz, Xanthi Bampoula, Tania Cerquitelli, Nikolaos Nikolakis, Kosmas Alexopoulos, Enrico Macii, Peter van Wilgen (2021), Predictive Maintenance in the Production of Steel Bars: A Data-Driven Approach, Predictive Maintenance in Smart Factories,

  21. Dena 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, COMPUTERS IN INDUSTRY, ISSN: 0166-3615

  22. Silvia Buccafusco, Andrea Megaro, Luca Cagliero, Francesco Vaccarino, Lucia Salvatori, Riccardo Loti (2021), Profiling industrial vehicle duties using CAN bus signal segmentation and clustering, Proceedings of the Workshops of the EDBT/ICDT 2021 Joint Conference, ISBN: 978-3-89318-084-4

  23. Moreno La Quatra, Luca Cagliero, Elena Maria Baralis, Alberto Messina, Maurizio Montagnuolo (2021), Summarize Dates First: A Paradigm Shift in Timeline Summarization, 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

  24. Francesca Soro, Thomas Favale, Danilo Giordano, Luca Vassio, Zied Ben Houidi, Idilio Drago (2021), The New Abnormal: Network Anomalies in the AI Era, Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning, ISBN: 9781119675501, 97...

  25. Dena Markudova, Martino Trevisan, Paolo Garza, Michela Meo, Maurizio Munafo, Giovanna Carofiglio (2021), What's my App?: ML-based classification of RTC applications, PERFORMANCE EVALUATION REVIEW, ISSN: 0163-5999

  26. S. 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, ELECTRONICS, ISSN: 2079-9292

  27. T. 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, ELECTRONICS, ISSN: 2079-9292

  28. Elena Daraio, Luca Cagliero, Silvia Anna Chiusano, Paolo Garza, Giuseppe Ricupero (2020), An explainable data-driven approach to web directory taxonomy mapping, Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES2020,

  29. Ali Safari Khatouni, Martino Trevisan, Danilo Giordano, Mohammad Rajiullah, Stefan Alfredsson, Anna Brunstrom, Cise Midoglu, Özgü Alay (2020), An Open Dataset of Operational Mobile Networks, MobiWac '20: Proceedings of the 18th ACM Symposium on Mobility Management and Wireless, ISBN: 9781450381192

  30. E. Pastor, E. Baralis (2020), Bring Your Own Data to X-PLAIN, Proceedings of the ACM SIGMOD International Conference on Management of Data, ISBN: 9781450367356

  31. B. Vacchetti, T. Cerquitelli, R. Antonino (2020), Cinematographic Shot Classification through Deep Learning, Proceedings - 2020 IEEE 44th Annual Computers, Software, and Applications Conference, COMPSAC 2020, ISBN: 978-1-7281-7303-0

  32. Luca Cagliero, Paolo Garza, Moreno La Quatra (2020), Combining Machine Learning and Natural Language Processing for Language-Specific, Multi-Lingual, and Cross-Lingual Text Summarization: A Wide-Ranging Overview, Trends and Applications of Text Summarization Techniques, ISBN: 9781522593737, 15...

  33. Daniele Apiletti, Eliana Pastor (2020), Correlating Espresso Quality with Coffee-Machine Parameters by Means of Association Rule Mining, ELECTRONICS, ISSN: 2079-9292

  34. Flavio Giobergia, Luca Cagliero, Paolo Garza, Elena Baralis (2020), Cross-Lingual Propagation of Sentiment Information Based on Bilingual Vector Space Alignment, CEUR Workshop Proceedings,

  35. T. Cerquitelli, A. Regalia, E. Manfredi, F. Conicella, P. Bethaz, E. Liore (2020), Data-Driven Estimation of Heavy-Truck Residual Value at the Buy-Back, IEEE ACCESS, ISSN: 2169-3536

  36. Daniela 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, COMPUTING, ISSN: 1436-5057

  37. Laura 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, APPLIED SCIENCES, ISSN: 2076-3417

  38. Tania Cerquitelli, Alessandra Colombelli, Claudia De Giorgi, Arianna Montorsi (2020), Diversità è Eccellenza. Bilancio di Genere 2020 - Politecnico di Torino, ,

  39. Alessandro 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, APPLIED SCIENCES, ISSN: 2076-3417

  40. Giuseppe 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, 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC), ISBN: 978-1-7281-7303-0

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

  42. T 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, 53,

  43. Moreno La Quatra, Luca Cagliero (2020), End-to-end Training For Financial Report Summarization, Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation,

  44. Enrico Palumbo, DIEGO MICHELE Monti, Giuseppe Rizzo, Raphaël Troncy, ELENA MARIA Baralis (2020), entity2rec: Property-specific knowledge graph embeddings for item recommendation, EXPERT SYSTEMS WITH APPLICATIONS, ISSN: 0957-4174

  45. Martino Trevisan, Ali Safari Khatouni, Danilo Giordano (2020), ERRANT: Realistic Emulation of Radio Access Networks, COMPUTER NETWORKS, ISSN: 1389-1286

  46. D. Apiletti, E. Pastor, R. Callà, E. Baralis (2020), Evaluating espresso coffee quality by means of time-series feature engineering, CEUR Workshop Proceedings,

  47. M. La Quatra, L. Cagliero, E. Baralis (2020), Exploiting pivot words to classify and summarize discourse facets of scientific papers, SCIENTOMETRICS, ISSN: 0138-9130

  48. Jacopo Fior, Luca Cagliero (2020), Exploring the Use of Data at Multiple Granularity Levels in Machine Learning-Based Stock Trading, Deep data intelligence for finance (DDIF),

  49. L. Cagliero, M. La Quatra (2020), Extracting highlights of scientific articles: A supervised summarization approach, EXPERT SYSTEMS WITH APPLICATIONS, ISSN: 0957-4174

  50. Martino Trevisan, Danilo Giordano, Idilio Drago, Maurizio Matteo Munafo, Marco Mellia (2020), Five Years at the Edge: Watching Internet From the ISP Network, IEEE-ACM TRANSACTIONS ON NETWORKING, ISSN: 1063-6692

  51. Petropoulos 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 Gönül, Goodwin Paul, Grossi Luigi, Grushka-Cockayne Yael, Guidolin Mariangela, Guidolin Massimo, Gunter Ulri (2020), Forecasting: theory and practice, ,

  52. L. Cagliero, M. La Quatra, D. Apiletti (2020), From Hotel Reviews to City Similarities: A Unified Latent-Space Model, ELECTRONICS, ISSN: 2079-9292

  53. Alessandro Ciociola, Dena Markudova, Luca Vassio, Danilo Giordano, Marco Mellia, Michela Meo (2020), Impact of Charging Infrastructure and Policies on Electric Car Sharing Systems, 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), ISBN: 978-1-7281-4149-7

  54. Simone 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, 2020 IEEE International Conference on Big Data, ISBN: 978-1-7281-6251-5

  55. Giuseppe Attanasio, Luca Cagliero, Elena Baralis (2020), Leveraging the explainability of associative classifiers to support quantitative stock trading, Proceedings of the Sixth International Workshop on Data Science for Macro-Modeling, ISBN: 9781450380300

  56. S. Mishra, L. Vassio, L. Cagliero, M. Mellia, E. Baralis, R. Loti, L. Salvatori (2020), Machine learning supported next-maintenance prediction for industrial vehicles, CEUR Workshop Proceedings,

  57. Michelangelo Barulli, Alessandro Ciociola, Michele Cocca, Luca Vassio, Danilo Giordano, Marco Mellia (2020), On Scalability of Electric Car Sharing in Smart Cities, 2020 IEEE International Smart Cities Conference (ISC2), ISBN: 978-1-7281-8294-0

  58. Giuseppe Attanasio, Eliana Pastor (2020), PoliTeam@AMI: Improving Sentence Embedding Similarity with Misogyny Lexicons for Automatic Misogyny Identification in Italian Tweets, Proceedings of the 7th Evaluation Campaign of Natural Language Processing and Speech tools for Italian (EVALITA 2020),

  59. Elena 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, ELECTRONICS, ISSN: 2079-9292

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

  61. Paolo Bethaz, Riccardo Callà, Tania Cerquitelli, Arianna Montorsi, Claudia De Giorgi (2020), Proactive user engagement via friendly survey and data-driven methodologies, 2020 IEEE 36th International Conference on Data Engineering Workshops (ICDEW), ISBN: 978-1-7281-4266-1

  62. ALESSANDRO FARASIN, Francesco Peciarolo, MARCO GRANGETTO, Elena Gianaria, PAOLO GARZA (2020), Real-time object detection and tracking in mixed reality using Microsoft HoloLens, SCITEPRESS – Science and Technology Publications, Lda, ISBN: 978-989-758-402-2

  63. Gianluca Perna, Martino Trevisan, Danilo Giordano (2020), Realistic testing of RTC applications under mobile networks, Proceedings of the 16th International Conference on emerging Networking EXperiments and Technologies, ISBN: 9781450379489

  64. STEFANO PROTO, EVELINA DI CORSO, DANIELE APILETTI, LUCA CAGLIERO, TANIA CERQUITELLI, GIOVANNI MALNATI, Davide Mazzucchi (2020), REDTag: A Predictive Maintenance Framework for Parcel Delivery Services, IEEE ACCESS, ISSN: 2169-3536

  65. Alessandro Farasin, Luca Colomba, Giulio Palomba, Giovanni Nini, Claudio Rossi (2020), Supervised Burned Areas delineation by means of Sentinel-2 imagery and Convolutional Neural Networks, ISCRAM 2020 Conference Proceedings - 17th International Conference on Information Systems for Crisis Response And Management,

  66. Luca Cagliero, Paolo Garza, Giuseppe Attanasio, Elena Baralis (2020), Training ensembles of faceted classification models for quantitative stock trading, COMPUTING, ISSN: 0010-485X

  67. Luca Cagliero, Lorenzo Canale, Laura Farinetti (2020), UNIFORM: Automatic Alignment of Open Learning Datasets, 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC), ISBN: 978-1-7281-7303-0

  68. T. 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, Advanced Information Systems Engineering Workshops - CAiSE 2019 International Workshops, Rome, Italy, June 3-7, 2019, Proceedings, ISBN: 978-3-030-20947-6...

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

  70. Francesco 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, 2019 IEEE International Congress on Big Data, ISBN: 978-1-7281-2772-9

  71. Andrea Pasini, Elena Baralis, Paolo Garza, Davide Floriello, Michela Idiomi, Andrea Ortenzi, Simone Ricci (2019), Adaptive hierarchical clustering for petrographic image analysis, CEUR Workshop Proceedings,

  72. Mirko Zaffaroni, Laura Lopez Fuentes, Alessandro Farasin, Paolo Garza, Harald Skinnemoen (2019), AI-Based Flood Event Understanding and Quantifying Using Online Media and Satellite Data, Multimedia Satellite Task Flood Severity Estimation,

  73. D. 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, Offshore Mediterranean Conference and Exhibition 2019, OMC 2019,

  74. Tania Cerquitelli, Stefano Proto, Francesco Ventura, Daniele Apiletti, ELENA MARIA Baralis (2019), Automating concept-drift detection by self-evaluating predictive model degradation, ,

  75. LUCA CAGLIERO, SILVIA ANNA CHIUSANO, DARAIO ELENA, PAOLO GARZA (2019), CarPredictor: forecasting the number of free floating car sharing vehicles within restricted urban areas, 2019 IEEE International Congress on Big Data, BigData Congress 2019, Milan, IT, July 8-13, 2019, ISBN: 978-1-7281-2772-9

  76. Luca Cagliero, Giuseppe Attanasio, Paolo Garza, ELENA MARIA Baralis (2019), Combining news sentiment and technical analysis to predict stock trend reversal, IEEE ICDM 2019 Workshops Proceedings,

  77. Ali Safari Khatouni, Martino Trevisan, Danilo Giordano (2019), Data-Driven Emulation of Mobile Access Networks, Proceedings of the 15th International Conference on Network and Service Management (CNSM), ISBN: 978-3-903176-24-9

  78. Andrea Pasini, Elena Baralis (2019), Detecting Anomalies in Image Classification by Means of Semantic Relationships, Titolo volume non avvalorato, ISBN: 978-1-7281-1488-0

  79. MOHAMMAD 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, INTERNATIONAL JOURNAL OF MULTIMEDIA INFORMATION RETRIEVAL, ISSN: 2192-6611

  80. T Cerquitelli, E. Macii, A. Macii (2019), Elaborare i dati raccolti negli ambienti di produzione, creare valore e strutturare conoscenza: metodi, sfide e opportunità, Il futuro della fabbrica. La via italiana per il rinascimento della manifattura., ISBN: 978-88-98053-32-2

  81. Luca. Cagliero, Paolo Garza, Elena Baralis (2019), ELSA: A multilingual document summarization algorithm based on frequent itemsets and latent semantic analysis, ACM TRANSACTIONS ON INFORMATION SYSTEMS, ISSN: 1046-8188

  82. Eliana Pastor, ELENA MARIA Baralis (2019), Enhancing Interpretability of Black Box Models by means of Local Rules, ,

  83. E. Pastor, E. Baralis (2019), Explaining black box models by means of local rules, Proceedings of the ACM Symposium on Applied Computing, ISBN: 9781450359337

  84. T. Cerquitelli, G. Malnati, D. Apiletti (2019), Exploiting scalable machine-learning distributed frameworks to forecast power consumption of buildings, ENERGIES, ISSN: 1996-1073

  85. Tania 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, Proceedings of the Workshops of the EDBT/ICDT 2019 Joint Conference,EDBT/ICDT 2019, Lisbon, Portugal, March 26, 2019.,

  86. FLAVIO GIOBERGIA, ELENA MARIA BARALIS (2019), Fast Self-Organizing Maps Training, 2019 IEEE International Conference on Big Data,

  87. Andrea 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, ELECTRONICS, ISSN: 2079-9292

  88. Michele Cocca, Danilo Giordano, Marco Mellia, Luca Vassio (2019), Free floating electric car sharing design: Data driven optimisation, PERVASIVE AND MOBILE COMPUTING, ISSN: 1574-1192

  89. Michele Cocca, Danilo Giordano, Marco Mellia, Luca Vassio (2019), Free Floating Electric Car Sharing: A Data Driven Approach for System Design, IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, ISSN: 1524-9050

  90. D. Markudova, E. Baralis, L. Cagliero, M. Mellia, L. Vassio, E. Amparore, R. Loti, L. Salvatori (2019), Heterogeneous industrial vehicle usage predictions: A real case, CEUR Workshop Proceedings,

  91. Lorenzo Bottaccioli, Edoardo Patti, Anna Osello, Tania Cerquitelli, Enrico Macii, Andrea Acquaviva (2019), IoT Platforms and Technologies Driving Spatial Planning and Analytics, Spatial Planning in the Big Data Revolution, ISBN: 9781522579274, 97...

  92. V. Pinto, A. Perotti, T. Cerquitelli (2019), Modeling Urban Traffic Data Through Graph-Based Neural Networks, 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

  93. Moreno 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, Proceedings of the 4th Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019),

  94. Stefano 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, 2019 IEEE International Congress on Big Data, ISBN: 978-1-7281-2772-9

  95. Giuseppe Attanasio, Luca Cagliero, Paolo Garza, Elena Baralis (2019), Quantitative cryptocurrency trading: exploring the use of machine learning techniques, Proceedings of the 5th workshop on data science for macro-modeling with financial and economic datasets, ISBN: 9781450368230

  96. Luca Cagliero, Laura Farinetti, ELENA MARIA Baralis (2019), Recommending Personalized Summaries of Teaching Materials, IEEE ACCESS, ISSN: 2169-3536

  97. R. Pinto, T. Cerquitelli (2019), Robot fault detection and remaining life estimation for predictive maintenance, Procedia Computer Science,

  98. Tania Cerquitelli, Stefano Proto, Francesco Ventura, Daniele Apiletti, ELENA MARIA Baralis (2019), Towards a real-time unsupervised estimation of predictive model degradation, 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

  99. Antonio 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, ENERGIES, ISSN: 1996-1073

  100. Evelina Di Corso, Stefano Proto, Tania Cerquitelli, Silvia Anna Chiusano (2019), Towards automated visualisation of scientic literature, 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

  101. Matteo 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, 2019 Workshops of the EDBT/ICDT Joint Conference,

  102. Alessandro 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, CEUR Workshop Proceedings,

  103. Luca Cagliero, Lorenzo Canale, Laura Farinetti (2019), VISA: A supervised approach to indexing video lectures with semantic annotations, 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC), ISBN: 978-1-7281-2607-4

  104. T. 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, SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies, ISBN: 978-1-7281-1156-8

  105. Francesco Ventura, Tania Cerquitelli (2019), What's in the box? Explaining the black-box model through an evaluation of its interpretable features, ,

  106. Elena Baralis, Paolo Garza, Eliana Pastor (2018), A Density-based Preprocessing Technique to Scale Out Clustering, Proceedings of the 2018 IEEE International Conference on Big Data (Big Data), ISBN: 978-1-5386-5035-6

  107. Brunella 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, INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING, ISSN: 0219-6220

  108. L. Cagliero, P. Garza, Andrea Pasini, E. Baralis (2018), Additional reviewer assignment by means of weighted association rules, IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING, ISSN: 2168-6750

  109. Enrico Palumbo, Giuseppe Rizzo, Raphael Troncy, ELENA MARIA Baralis, Michele Osella, ENRICO GIOVANNI Ferro (2018), An empirical comparison of knowledge graph embeddings for item recommendation, Workshop on Deep Learning for Knowledge Graphs and Semantic Technologies 2018,

  110. Francesco Ventura, Tania Cerquitelli, Francesco Giacalone (2018), Black-Box Model Explained Through an Assessment of Its Interpretable Features, 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

  111. DARAIO ELENA, EVELINA DI CORSO, TANIA CERQUITELLI, SILVIA ANNA CHIUSANO (2018), Characterizing Air-Quality Data Through Unsupervised Analytics Methods, 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

  112. Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Giuseppe Ricupero, Elena Baralis (2018), Characterizing situations of dock overload in bicycle sharing stations, APPLIED SCIENCES, ISSN: 2076-3417

  113. Luca Cagliero, Tania Cerquitelli, Silvia Chiusano, Paolo Garza, Antonio Attanasio (2018), Characterizing unpredictable patterns in Wireless Sensor Network data, INFORMATION SCIENCES, ISSN: 0020-0255

  114. Tania Cerquitelli, Gianfranco Chicco, Evelina Di Corso, Francesco Ventura, Montesano Giuseppe, Armiento Mirko, Mateo González Alicia, Veiga Santiago Andrea (2018), Clustering-Based Assessment of Residential Consumers from Hourly-Metered Data, International Conference on Smart Energy System and Technologies - SEST 2018, Sevilla, Spain, September, 10-12, 2018, Proceedings,

  115. Michele Cocca, Danilo Giordano, Marco Mellia, Luca Vassio (2018), Data Driven Optimization of Charging Station Placement for EV Free Floating Car Sharing, 21st International Conference on Intelligent Transportation Systems (ITSC), ISBN: 978-1-7281-0321-1...

  116. ELENA MARIA Baralis, Tania Cerquitelli, SILVIA ANNA Chiusano, R. Meo (2018), Data Mining in Databases: Languages and Indices, A Comprehensive Guide Through the Italian Database Research Over the Last 25 Years, ISBN: 978-3-319-61892-0

  117. Laura Lopez-Fuentes, Alessandro Farasin, Harald Skinnemoen, Paolo Garza (2018), Deep Learning Models for Passability Detection of Flooded Roads, Multimedia Benchmark Workshop 2018,

  118. Eliana Pastor (2018), Deriving Local Internal Logic for Black Box Models, Proceedings of the 26th Italian Symposium on Advanced Database Systems,Castellaneta Marina (Taranto), Italy, June 24-27, 2018.,

  119. Luca Cagliero, Paolo Garza, Mohammad Reza Kavoosifar, Elena Baralis (2018), Discovering cross-topic collaborations among researchers by exploiting weighted association rules, SCIENTOMETRICS, ISSN: 0138-9130

  120. Tania Cerquitelli, Gianfranco Chicco, Evelina DI CORSO, Francesco Ventura, Giuseppe Montesano, Anita Del Pizzo, Alicia Mateo González, Eduardo Martin Sobrino (2018), Discovering electricity consumption over time for residential consumers through cluster analysis, 2018 International Conference on Development and Application Systems (DAS), ISBN: 978-1-5386-1493-8

  121. Martino Trevisan, Danilo Giordano, Idilio Drago, Marco Mellia, Maurizio Munafo (2018), Five Years at the Edge: Watching Internet from the ISP Network, Proceedings of the 14th International Conference on Emerging Networking EXperiments and Technologies (CoNEXT 2018), ISBN: 9781450360807

  122. Michele Cocca, Danilo Giordano, Marco Mellia, Luca Vassio (2018), Free Floating Electric Car Sharing in Smart Cities: Data Driven System Dimensioning, 2018 IEEE International Conference on Smart Computing (SMARTCOMP), ISBN: 978-1-5386-4705-9

  123. ELENA MARIA BARALIS, LUCA CAGLIERO (2018), Highlighter: automatic highlighting of electronic learning documents, IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING, ISSN: 2168-6750

  124. Luca Cagliero, Luigi DE RUSSIS, Laura Farinetti, Teodoro Montanaro (2018), Improving the effectiveness of SQL learning practice: a data-driven approach, 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC), ISBN: 978-1-5386-2666-5

  125. Daniele 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, 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/..., ISBN: 978-1-7281-1141-4

  126. Enrico Palumbo, Giuseppe Rizzo, Raphael Troncy, Elena Maria Baralis, Michele Osella, Enrico Giovanni Ferro (2018), Knowledge Graph Embeddings with node2vec for Item Recommendation, The Semantic Web: ESWC 2018 Satellite Events, ISBN: 978-3-319-98192-5

  127. Evelina Di Corso, Tania Cerquitelli, Daniele Apiletti (2018), METATECH: METeorological Data Analysis for Thermal Energy CHaracterization by Means of Self-Learning Transparent Models, ENERGIES, ISSN: 1996-1073

  128. Flavio Giobergia, Elena Baralis, Maria Camuglia, Alessandra Neri, Davide Tricarico, Alessia Tuninetti (2018), Method and System for Predicting System Status, ,

  129. Flavio 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, IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA) 2018, ISBN: 978-1-5386-5090-5

  130. Lia Morra, Nunzia Coccia, Tania Cerquitelli (2018), Optimization of Computer Aided Detection systems: an evolutionary approach, EXPERT SYSTEMS WITH APPLICATIONS, ISSN: 0957-4174

  131. Alessandro Farasin, Paolo Garza (2018), PERCEIVE: Precipitation Data Characterization by means on Frequent Spatio-Temporal Sequences, ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management, ISBN: 978-0-692-12760-5

  132. E. Volpi, M. Di Lazzaro, Miriam Bertola, A. Viglione, A. Fiori (2018), Reservoir Effects on Flood Peak Discharge at the Catchment Scale, WATER RESOURCES RESEARCH, ISSN: 0043-1397

  133. Luca Cagliero, Paolo Garza (2018), Study of the applicability of an itemset-based portfolio planner in a multi-market context, CEUR Workshop Proceedings,

  134. Enrico Palumbo, Giuseppe Rizzo, Raphael Troncy, ELENA MARIA Baralis, Michele Osella, Enrico Ferro (2018), Translational Models for Item Recommendation, ESWC 2018: The Semantic Web: ESWC 2018 Satellite Event,

  135. Stefano Proto, Evelina DI CORSO, Francesco Ventura, Tania Cerquitelli (2018), Useful ToPIC: Self-tuning strategies to enhance Latent Dirichlet Allocation, 2018 IEEE International Congress on Big Data, BigData Congress 2018, San Francisco, CA, USA, July 2-7, 2018, ISBN: 978-1-5386-7232-7

  136. Daniele 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, BIG DATA RESEARCH, ISSN: 2214-5796

  137. Evelina Di Corso, Francesco Ventura, Tania Cerquitelli (2017), All in a twitter: Self-tuning strategies for a deeper understanding of a crisis tweet collection, Proceedings of IEEE International Conference on Big Data 2017, ISBN: 978-1-5386-2715-0

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

  139. Luca Cagliero, Silvia Chiusano, Paolo Garza, Giuseppe Ricupero (2017), Discovering High-Utility Itemsets at Multiple Abstraction Levels, 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...

  140. Elena Maria Baralis, Luca Cagliero, Tania Cerquitelli, Paolo Garza, Fabio Pulvirenti (2017), Discovering profitable stocks for intraday trading, INFORMATION SCIENCES, ISSN: 0020-0255

  141. Luca Cagliero, Laura Farinetti, Marco Mezzalama, Enrico Venuto, ELENA MARIA Baralis (2017), Educational video services in universities: a systematic effectiveness analysis, 2017 IEEE Frontiers in Education Conference (FIE), ISBN: 978-1-5090-5920-1

  142. Benoit Huet, E. Baralis, P. Garza, M. R. Kavoosifar (2017), Eurecom-Polito at TRECVID 2017: Hyperlinking task, 2017 TRECVID Workshop Proceedings,

  143. ELENA MARIA Baralis, Luca Cagliero, Laura Farinetti, Marco Mezzalama, Enrico Venuto (2017), Experimental validation of a massive educational service in a blended learning environment, 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC), ISBN: 978-1-5386-0367-3

  144. E. Di Corso, T. Cerquitelli, M.S. Piscitelli, A. Capozzoli (2017), Exploring energy certificates of buildings through unsupervised data mining techniques, 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

  145. DANIELE APILETTI, ELENA MARIA BARALIS, TANIA CERQUITELLI, PAOLO GARZA, FABIO PULVIRENTI, LUCA VENTURINI (2017), Frequent Itemsets Mining for Big Data: A Comparative Analysis, BIG DATA RESEARCH, ISSN: 2214-5796

  146. Giuseppe Attanasio, Alberto Cannavo', Francesca Cibrario, Fabrizio Lamberti, Paolo Montuschi, Gianluca Paravati (2017), HOT: Hold your own tools for AR-based constructive art, Proc. IEEE Symposium on 3D User Interfaces 2017 (IEEE 3DUI 2017), ISBN: 978-150906716-9

  147. Luca Cagliero, Paolo Garza, Mohammad Reza Kavoosifar, Elena Baralis (2017), Identifying collaborations among researchers: a pattern-based approach, 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 Informat...,

  148. Danilo Giordano (2017), Machine Learning and Big Data Methodologies for Network Traffic Monitoring, ,

  149. A. 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, 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

  150. Elena Baralis, Luca Cagliero, Paolo Garza (2017), Planning stock portfolios by means of weighted frequent itemsets, EXPERT SYSTEMS WITH APPLICATIONS, ISSN: 0957-4174

  151. Luca Cagliero, Silvia Anna Chiusano, Tania Cerquitelli, Paolo Garza, Xin Xiao (2017), Predicting critical conditions in bicycle sharing systems, COMPUTING, ISSN: 0010-485X

  152. T. Cerquitelli (2017), Predicting large scale fine grain energy consumption, ENERGY PROCEDIA, ISSN: 1876-6102

  153. Enrico Palumbo, Giuseppe Rizzo, Raphaël Troncy, ELENA MARIA Baralis (2017), Predicting Your Next Stop-over from Location-based Social Network Data with Recurrent Neural Networks, CEUR WORKSHOP PROCEEDINGS,

  154. T. Cerquitelli, E. Di Corso, F. Ventura, S. Chiusano (2017), Prompting the data transformation activities for cluster analysis on collections of documents, Proceedings of the 25th Italian Symposium on Advanced Database Systems, Squillace Lido (Catanzaro), Italy, June 25-29, 2017,

  155. Luca Venturini, Elena Baralis, Paolo Garza (2017), Scaling associative classification for very large datasets, JOURNAL OF BIG DATA, ISSN: 2196-1115

  156. Evelina DI CORSO, Tania Cerquitelli, Francesco Ventura (2017), Self-tuning techniques for large scale cluster analysis on textual data collections, Proceedings of the 32nd Annual ACM Symposium on Applied Computing, Marrakesh, Morocco, April 3rd-7th, 2017,

  157. ELENA MARIA Baralis, Andrea Dalla Valle, Paolo Garza, Claudio Rossi, Francesco Scullino (2017), SQL versus NoSQL Databases for Geospatial Applications, Proceedings of the 2nd IEEE International Workshop on Big Spatial Data in conjunction with 2017 IEEE International Conference on Big Data,

  158. Luca Cagliero (2017), Summarization of emergency news articles driven by relevance feedback, Titolo volume non avvalorato, ISBN: 978-1-5386-2715-0

  159. Luca Cagliero, Laura Farinetti, ELENA MARIA Baralis (2017), Test-driven summarization: combining formative assessment with teaching document summarization, 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC), ISBN: 978-1-5386-0367-3

  160. T. Cerquitelli, D. Quercia, F. Pasquale (2017), Transparent Data Mining for Big and Small Data, ,

  161. Xin Xiao, Antonio Attanasio, Silvia Anna Chiusano, Tania Cerquitelli (2017), Twitter data laid almost bare: An insightful exploratory analyser, EXPERT SYSTEMS WITH APPLICATIONS, ISSN: 0957-4174

  162. Alessandro Ciociola, Michele Cocca, Danilo Giordano, Marco Mellia, Andrea Morichetta, Andrian Putina, Flavia Salutari (2017), UMAP: Urban Mobility Analysis Platform to Harvest Car Sharing Data, Proceedings of the IEEE Conference on Smart City Innovations, ISBN: 978-1-5386-0435-9

  163. Danilo Giordano, Stefano Traverso, Marco Mellia, Luigi Grimaudo, Elena Baralis, Alok Tongaonkar, Sabyasachi Saha, Antonio Nucci (2017), Unsupervised methodology to unveil content delivery network structures, ,

  164. Luca Vassio, Danilo Giordano, Martino Trevisan, Marco Mellia, Ana Paula Couto da Silva (2017), Users’ Fingerprinting Techniques from TCP Traffic, Proceedings of the Workshop on Big Data Analytics and Machine Learning for Data Communication Networks,

  165. Tania Cerquitelli, Nikolaos Nikolakis, Lia Morra, Andrea Bellagarda, Matteo Orlando, Riku Salokangas, Olli Saarela, Jani Hietala, Petri Kaarmila, Enrico Macii, Data-Driven Predictive Maintenance: A Methodology Primer, Predictive Maintenance in Smart Factories, ISBN: 978-981-16-2939-6

  166. Salvatore Greco, Tania Cerquitelli, DRIFT LENS: Real-time unsupervised Concept Drift detection by evaluating per-label embedding distributions, ICDM Workshops 2021,

  167. Pierluigi Petrali, Tania Cerquitelli, Paolo Bethaz, Lia Morra, Nikolaos Nikolakis, Claudia De Vizia, Enrico Macii, Estimating Remaining Useful Life: A Data-Driven Methodology for the White Goods Industry, Predictive Maintenance in Smart Factories, ISBN: 978-981-16-2939-6

  168. Luca Cagliero, Moreno La Quatra, Inferring multilingual domain-specific word embeddings from large document corpora, IEEE ACCESS, ISSN: 2169-3536

  169. Alessandro Fiori, Alberto Grand, Emanuele Geda, Domenico Schioppa, Francesco Gavino Brundu, Andrea Mignone, Andrea Bertotti, LAS: a bio-clinical integrated laboratory information system for translational data management, Handbook of Research on Emerging Developments and Practices in Oncology,

  170. Eliana Pastor, Luca de Alfaro, Elena Baralis, Looking for Trouble: Analyzing Classifier Behavior via Pattern Divergence, Proceedings of the 2021 International Conference on Management of Data (SIGMOD ’21),