All times are in CEST (UTC +2).
Programme at a glance.

• 19^th October 2020
• 20^th October 2020
• 21^st October 2020

• Time	Activity
  09:00	Conference Opening Y. Manolopoulos, S. Matwin, A. Appice, G. Tsoumakas
  09:15	Graph and Network Mining Session Chair: Apostolos Papadopoulos Maximizing Network Coverage Under the Presence of Time Constraint by Injecting Most Effective k-Links Kouzou Ohara, Takayasu Fushimi, Kazumi Saito, Masahiro Kimura and Hiroshi Motoda On the utilization of structural and textual information of a scientific knowledge graph to discover future research collaborations: a link prediction perspective Nikolaos Giarelis, Nikos Kanakaris and Nikos Karacapilidis Spatiotemporal Traffic Anomaly Detection on Urban Road Network Using Tensor Decomposition Method Leo Tišljarić, Sofia Fernandes, Tonči Carić and João Gama
  10:10	15 minute break
  10:25	Intrepretable and Explainable Machine Learning Session Chair: Salvatore Rinzivillo Explaining Sentiment Classification with Synthetic Exemplars and Counter-Exemplars Orestis Lampridis, Riccardo Guidotti and Salvatore Ruggieri Generating Explainable and Effective Data Descriptors Using Relational Learning: Application to Cancer Biology Oghenejokpeme Orhobor, Joseph French, Larisa Soldatova and Ross King Interpretable Machine Learning with Bitonic Generalized Additive Models and Automatic Feature Construction Noëlie Cherrier, Michael Mayo, Jean-Philippe Poli, Maxime Defurne and Franck Sabatié Predicting and Explaining Privacy Risk Exposure in Mobility Data Francesca Naretto, Roberto Pellungrini, Anna Monreale, Franco Maria Nardini and Mirco Musolesi
  11:40	15 minute break
  11:55	Neural Networks and Deep Learning Session Chair: Michelangelo Ceci Attention in Recurrent Neural Networks for Energy Disaggregation Nikolaos Virtsionis Gkalinikis, Christoforos Nalmpantis and Dimitris Vrakas Enhanced food safety through deep learning for food recalls prediction Georgios Makridis, Philip Mavrepis, Dimosthenis Kyriazis, Ioanna Polychronou and Stathis Kaloudis FairNN – Conjoint Learning of Fair Representations for Fair Decisions Tongxin Hu, Vasileios Iosifidis, Wentong Liao, Hang Zhang, Michael Ying Yang, Eirini Ntoutsi and Bodo Rosenhahn Improving deep unsupervised anomaly detection by exploiting VAE latent space distribution Fabrizio Angiulli, Fabio Fassetti and Luca Ferragina
  13:05	85 minutes break / Steering Committee Meeting
  14:30	Keynote Talk Session Chair: Yannis Manolopoulos Knowledge Discovery in mHealth — dealing with few noisy data Myra Spiliopoulou
  15:30	15 minute break
  15:45	Data Streams Session Chair: Joao Gama FABBOO – Online Fairness-aware Learning under Class Imbalance Vasileios Iosifidis and Eirini Ntoutsi FEAT: A Fairness-enhancing and Concept-adapting Decision Tree Classifier Wenbin Zhang and Albert Bifet Unsupervised Concept Drift Detection using a Student–Teacher Approach Vitor Cerqueira, Heitor Gomes and Albert Bifet Simultaneous Process Drift Detection and Characterization with Pattern-based Change Detectors Angelo Impedovo, Paolo Mignone, Corrado Loglisci and Michelangelo Ceci

• Time	Activity
  09:00	Announcements
  09:05	Multi-Target Models Session Chair: Dragi Kocev Extreme Gradient Boosted Multi-label Trees for Dynamic Classifier Chains Simon Bohlender, Eneldo Loza Mencía and Moritz Kulessa Hierarchy decomposition pipeline: A toolbox for comparison of model induction algorithms on hierarchical multi-label classification problems Vedrana Vidulin and Sašo Džeroski On Aggregation in Ensembles of Multilabel Classifiers Vu-Linh Nguyen, Eyke Hüllermeier, Michael Rapp, Eneldo Loza Mencía and Johannes Fürnkranz
  10:00	15 minute break
  10:15	Dimensionality Reduction and Feature Selection Session Chair: Donato Malerba Assembled Feature Selection For Credit Scoring in Microfinance With Non-Traditional Features Saulo Carpio, Pedro Gomes, Luis Rodrigues and João Gama Learning surrogates of a radiative transfer model for the Sentinel 5P satellite Jure Brence, Jovan Tanevski, Jennifer Adams, Edward Malina and Sašo Džeroski Nets versus trees for feature ranking and gene network inference Nicolas Vecoven, Jean-Michel Begon, Antonio Sutera, Pierre Geurts and Vân Anh Huynh-Thu Pathway Activity Score Learning for Dimensionality Reduction of Gene Expression Data Ioulia Karagiannaki, Yannis Pantazis, Ekaterini Chatzaki and Ioannis Tsamardinos
  11:30	15 minute break
  11:45	Best Paper + Distributed Processing Session Chair: Grigorios Tsoumakas Evaluating Decision Makers over Selectively Labelled Data: A Causal Modelling Approach Riku Laine, Antti Hyttinen and Michael Mathioudakis Balancing between scalability and accuracy in time-series classification for stream and batch settings Apostolos Glenis and George Vouros DeCStor: A Framework for Privately and Securely Sharing Files Using a Public Blockchain Maria Siopi, George Vlahavas, Kostas Karasavvas and Athena Vakali Investigating parallelization of MAML Jan Bollenbacher, Florian Soulier, Beate Rhein and Laurenz Wiskott
  13:00	90 minutes break
  14:30	Keynote Talk Session Chair: Annalisa Appice Machine learning for Modelling and Understanding in Earth Sciences Gustau Camps-Vals
  15:30	15 minute break
  15:45	Community Meeting A. Appice, G. Tsoumakas
  16:45	15 minute break
  17:00	Data and Knowledge Representation Session Chair: Larisa Soldatova COVID-19 therapy target discovery with context-aware literature mining Matej Martinc, Blaž Škrlj, Sergej Pirkmajer, Nada Lavrač, Bojan Cestnik, Martin Marzidovšek and Senja Pollak Semantic annotation of predictive modelling experiments Ilin Tolovski, Sašo Džeroski and Panče Panov Semantic description of data mining datasets: An ontology-based annotation schema Ana Kostovska, Sašo Džeroski and Panče Panov

• Time	Activity
  09:00	Announcements
  09:05	Spatial, Temporal and Spatiotemporal Data Session Chair: Saso Dzeroski Mining Disjoint Sequential Pattern Pairs from Tourist Trajectory Data Siqi Peng and Akihiro Yamamoto Mining Constrained Regions of Interest: An Optimization Approach Alexandre Dubray, Guillaume Derval, Pierre Schaus and Siegfried Nijssen Time Series Regression in Professional Road Cycling Arie-Willem de Leeuw, Mathieu Heijboer, Mathijs Hofmijster, Stephan van der Zwaard and Arno Knobbe Detecting Temporal Anomalies in Business Processes using Distance-based Methods Ioannis Mavroudopoulos and Anastasios Gounaris
  10:10	15 minute break
  10:25	Clustering Session Chair: Eirini Ntoutsi Constrained Clustering via Post-Processing Nguyen Viet Dung Nghiem, Christel Vrain, Thi-Bich-Hanh Dao and Ian Davidson Deep Convolutional Embedding for Painting Clustering: Case Study on Picasso’s Artworks Giovanna Castellano and Gennaro Vessio Dynamic Incremental Semi-Supervised Fuzzy Clustering for Bipolar Disorder Episode Prediction Gabriella Casalino, Giovanna Castellano, Francesco Galetta and Katarzyna Kaczmarek-Majer Iterative Multi-Mode Discretization: Applications to Co-Clustering Hadi Fanaee-T and Magne Thoresen
  11:35	15 minute break
  11:50	Classification Session Chair: Eyke Hüllermeier Mitigating Discrimination in Clinical Machine Learning Decision Support using Algorithmic Processing Techniques Emma Briggs and Jaakko Hollmén Predicting the Health Condition of mHealth App Users with Large Differences in the Amount of Recorded Observations – Where to Learn from? Vishnu Unnikrishnan, Yash Shah, Miro Schleicher, Mirela Strandzheva, Plamen Dimitrov, Doroteya Velikova, Ruediger Pryss, Johannes Schobel, Winfried Schlee and Myra Spiliopoulou Multi-Directional Rule Set Learning Jonas Schouterden, Jesse Davis and Hendrik Blockeel WeakAL: Combining Active Learning and Weak Supervision Julius Gonsior, Maik Thiele and Wolfgang Lehner
  13:00	90 minutes break
  14:30	Keynote Talk Session Chair: Stan Matwin The highs and lows of performance evaluation: Towards a measurement theory for machine learning Peter Flach
  15:30	15 minute break
  15:45	Ensemble Methods Session Chair: Pierre Geurts Extreme Algorithm Selection with Dyadic Feature Representation Alexander Tornede, Marcel Wever and Eyke Hüllermeier Federated Ensemble Regression using Classification Oghenejokpeme Orhobor, Larisa Soldatova and Ross King One-Class Ensembles for Rare Genomic Sequences Identification Jonathan Kaufmann, Kathryn Asalone, Roberto Corizzo, Colin Saldanha, John Bracht and Nathalie Japkowicz Missing value imputation with MERCS: a faster alternative to MissForest when retraining is infeasible Elia Van Wolputte and Hendrik Blockeel
  17:00	Conference Closing Y. Manolopoulos, S. Matwin, A. Appice, G. Tsoumakas