List of accepted papers
Semi-supervised Community Detection in Dynamic Graphs co-authored by Matteo Bianco, Politecnico di Torino, Italy, Luca Cagliero, Politecnico di Torino, Italy and Luca Vassio, Politecnico di Torino, Italy
Context-Aware AutoML for Accurate Wheat Disease Detection co-authored by Muhammad Uzair, Institute of Computer Science, University of Tartu; Estonia, Radwa El Shawi, University of Tartu, Estonia; and Stefania Tomasiello, University of Salerno, Fisciano, Italy
Automated Machine Learning for Ex-ante Life Cycle Assessment of Barley Production co-authored by Radwa El Shawi, University of Tartu, Estonia; Stefania Tomasiello, University of Salerno, Fisciano, Italy; Evelin Loit, University of Tartu; Ayhan Gökçe, Niğde Ömer Halisdemir University, Faculty of Agricultural Sciences and Technologies, Türkiye; Virmantas Povilaitis, Lithuanian Research Centre for Agriculture and Forestry, Institute of Agriculture, Lithuania; and Stefan Shilev, Agricultural University, Plovdiv, Bulgaria
Dynamic User Preferences Optimization in Time-Aware Recommendations co-authored by Ainaz Ebrahimi, Tampere University, Finland; Zheying Zhang, Faculty of Information Technology and Communication Sciences, Tampere University, Finland; and Kostas Stefanidis, Tampere University, Finland
On three missing pieces in the data integration puzzle authored by Robert Wrembel, Poznan University of Technology, Poland
Retrieval Augmented Generation of Summarized Answers on Visually-Rich Documents for Trend and Risk Analysis co-authored by Giuseppe Gallipoli, Politecnico di Torino, Italy; Luca Cagliero, Politecnico di Torino, Italy; Alessandro Mosca, Politecnico di Torino, Italy; Arianna Miola, Intesa Sanpaolo Innovation Center, Università degli Studi di Milano-Bicocca, Italy; and Daniele Borghi, Intesa Sanpaolo Innovation Center, Università degli Studi di Milano-Bicocca, Italy
Exploring Industrial Application of Replay-Based Continuous Learning in Machine Learning Pipeline co-authored Fabian Rensing, University of Helsinki, Finland; Lucy Ellen Lwakatare, University of Helsinki, Finland; and Jukka K Nurminen, University of Helsinki, Finland
Towards a Data-Centric Framework for Modelling, Managing and Mining BPM Processes over Pandemic Events co-authored Alfredo Cuzzocrea, University of Calabria, Italy; Islam Belmerabet, iDEA LAB, University of Calabria, Italy; Carlo Combi, University of Verona, Italy, Enrico Franconi, Free University of Bozen-Bolzano; and Paolo Terenziani, University of Piemonte Orientale, Italy
Comparing Deep Learning Approaches for Weather Forecasting: Insights from the PRECEDE Project co-authored by Maira Aracne, University Leonardo da Vinci, Italy; Tommaso Ruga, University of Calabria, Italy; Camilla Lops, University G. d’Annunzio of Chieti-Pescara, Italy; Deborah Federico, e-way Enterprise Business Solutions, Italy; Luciano Caroprese, University G. d’Annunzio of Chieti-Pescara, Italy; Ester Zumpano, University of Calabria, Italy; Sergio Montelpare, University G. d’Annunzio of Chieti-Pescara, Italy; Mariano Pierantozzi, University G. d’Annunzio of Chieti-Pescara, Italy; Francesco Dattola, e-way Enterprise Business Solutions, Italy; Pasquale Laquinta, e-way Enterprise Business Solutions, Italy; Miriam Iusi, e-way Enterprise Business Solutions, Italy; Raffaele Greco, e-way Enterprise Business Solutions, Italy; Marco Talerico, e-way Enterprise Business Solutions, Italy; Valentina Coscarella, e-way Enterprise Business Solutions, Italy; Luca Legato, e-way Enterprise Business Solutions, Italy; Ivana Pellegrino, e-way Enterprise Business Solutions, Italy; Sonia Bergamaschi, e-way Enterprise Business Solutions, Italy; Mirko Orsini, e-way Enterprise Business Solutions, Italy; Riccardo Martoglia, e-way Enterprise Business Solutions, Italy; Andrea Livaldi, e-way Enterprise Business Solutions, Italy; Abeer Jelali e-way Enterprise Business Solutions, Italy; and Simone Sbreglia, e-way Enterprise Business Solutions, Italy
Multimodal Fusion Techniques to Enhance Voice Disorder Diagnoses co-authored by Qingqing Liu, Politecnico di Torino, Italy; Gabriele Ciravegna, Politecnico di Torino, Italy; Alkis Koudounas, Politecnico di Torino, Italy; Tania Cerquitelli, Politecnico di Torino, Italy; and Elena Baralis, Politecnico di Torino, Italy
Generative Adversarial Network-based approach to scientific time series analysis co-authored by Akanksha Vijayvergiya, Universität Passau, Germany; and Alsayed Algergawy, Universität Passau, Germany
On integrating robotic data with GIS tools in a cloud environment co-authored by Jean-Paul Kasprzyk, Université de Liège, Belgium; Roland Billen, Université de Liège, Belgium; Sandro Bimonte, INRAE, France; Laurent D'Orazio, Université de Rennes, France; Dimitris Sacharidis, Université Libre de Bruxelles, Belgium, Piotr Skrzypczyński, Poznan University of Technology, Poland and Robert Wrembel, Poznan University of Technology, Poland
Diverse Minds, Collective Mission: Surveying the Development of a participative EDI Manifesto co-authored by Matteo Berta, Politecnico di Torino, Italy; Amin Mantrach, Politecnico di Torino, Italy; and Tania Cerquitelli, Politecnico di Torino, Italy
Epistemic Violence Against Female Artists and Scientists in Latin America on Wikipedia: Unveiling the Imbalance Between Minority and Majority Worlds using Graphs co-authored by Genoveva Vargas-Solar, CNRS, France and Alejandra Josiowicz, Universidade Estadual de Rio de Janeiro, Brazil
Techno/Ecofeminism in Action: Fair and Responsible Resource Allocation for Sustainable Data Science Pipelines co-authored by Genoveva Vargas-Solar, CNRS, France José Luis Zechinelli-Martini, Universidad de las Américas, Puebla, Mexico, Claudio Agostino Ardagna, Università degli Studi di Milano, Nicola Bena, Università degli Studi di Milano, Nadia Bennani, INSA, Lyon, Barbara Catania, Università degli Studi di Genova, Javier Alfonso Espinosa-Oviedo, Université Claude Bernard Lyon 1, France and Andrea Mauri, Université Claude Bernard Lyon 1, France