All times are in CEST (UTC +2).
Programme at a glance.
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Time Activity 09:00 Conference Opening
Y. Manolopoulos, S. Matwin, A. Appice, G. Tsoumakas09:15 Graph and Network Mining
Session Chair: Apostolos PapadopoulosMaximizing Network Coverage Under the Presence of Time Constraint by Injecting Most Effective k-Links
Kouzou Ohara, Takayasu Fushimi, Kazumi Saito, Masahiro Kimura and Hiroshi MotodaOn 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 KaracapilidisSpatiotemporal Traffic Anomaly Detection on Urban Road Network Using Tensor Decomposition Method
Leo Tišljarić, Sofia Fernandes, Tonči Carić and João Gama10:10 15 minute break 10:25 Intrepretable and Explainable Machine Learning
Session Chair: Salvatore RinzivilloExplaining Sentiment Classification with Synthetic Exemplars and Counter-Exemplars
Orestis Lampridis, Riccardo Guidotti and Salvatore RuggieriGenerating Explainable and Effective Data Descriptors Using Relational Learning: Application to Cancer Biology
Oghenejokpeme Orhobor, Joseph French, Larisa Soldatova and Ross KingInterpretable Machine Learning with Bitonic Generalized Additive Models and Automatic Feature Construction
Noëlie Cherrier, Michael Mayo, Jean-Philippe Poli, Maxime Defurne and Franck SabatiéPredicting and Explaining Privacy Risk Exposure in Mobility Data
Francesca Naretto, Roberto Pellungrini, Anna Monreale, Franco Maria Nardini and Mirco Musolesi11:40 15 minute break 11:55 Neural Networks and Deep Learning
Session Chair: Michelangelo CeciAttention in Recurrent Neural Networks for Energy Disaggregation
Nikolaos Virtsionis Gkalinikis, Christoforos Nalmpantis and Dimitris VrakasEnhanced food safety through deep learning for food recalls prediction
Georgios Makridis, Philip Mavrepis, Dimosthenis Kyriazis, Ioanna Polychronou and Stathis KaloudisFairNN – Conjoint Learning of Fair Representations for Fair Decisions
Tongxin Hu, Vasileios Iosifidis, Wentong Liao, Hang Zhang, Michael Ying Yang, Eirini Ntoutsi and Bodo RosenhahnImproving deep unsupervised anomaly detection by exploiting VAE latent space distribution
Fabrizio Angiulli, Fabio Fassetti and Luca Ferragina13:05 85 minutes break / Steering Committee Meeting 14:30 Keynote Talk
Session Chair: Yannis ManolopoulosKnowledge Discovery in mHealth — dealing with few noisy data
Myra Spiliopoulou15:30 15 minute break 15:45 Data Streams
Session Chair: Joao GamaFABBOO – Online Fairness-aware Learning under Class Imbalance
Vasileios Iosifidis and Eirini NtoutsiFEAT: A Fairness-enhancing and Concept-adapting Decision Tree Classifier
Wenbin Zhang and Albert BifetUnsupervised Concept Drift Detection using a Student–Teacher Approach
Vitor Cerqueira, Heitor Gomes and Albert BifetSimultaneous 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 KocevExtreme Gradient Boosted Multi-label Trees for Dynamic Classifier Chains
Simon Bohlender, Eneldo Loza Mencía and Moritz KulessaHierarchy decomposition pipeline: A toolbox for comparison of model induction algorithms on hierarchical multi-label classification problems
Vedrana Vidulin and Sašo DžeroskiOn Aggregation in Ensembles of Multilabel Classifiers
Vu-Linh Nguyen, Eyke Hüllermeier, Michael Rapp, Eneldo Loza Mencía and Johannes Fürnkranz10:00 15 minute break 10:15 Dimensionality Reduction and Feature Selection
Session Chair: Donato MalerbaAssembled Feature Selection For Credit Scoring in Microfinance With Non-Traditional Features
Saulo Carpio, Pedro Gomes, Luis Rodrigues and João GamaLearning surrogates of a radiative transfer model for the Sentinel 5P satellite
Jure Brence, Jovan Tanevski, Jennifer Adams, Edward Malina and Sašo DžeroskiNets versus trees for feature ranking and gene network inference
Nicolas Vecoven, Jean-Michel Begon, Antonio Sutera, Pierre Geurts and Vân Anh Huynh-ThuPathway Activity Score Learning for Dimensionality Reduction of Gene Expression Data
Ioulia Karagiannaki, Yannis Pantazis, Ekaterini Chatzaki and Ioannis Tsamardinos11:30 15 minute break 11:45 Best Paper + Distributed Processing
Session Chair: Grigorios TsoumakasEvaluating Decision Makers over Selectively Labelled Data: A Causal Modelling Approach
Riku Laine, Antti Hyttinen and Michael MathioudakisBalancing between scalability and accuracy in time-series classification for stream and batch settings
Apostolos Glenis and George VourosDeCStor: A Framework for Privately and Securely Sharing Files Using a Public Blockchain
Maria Siopi, George Vlahavas, Kostas Karasavvas and Athena VakaliInvestigating parallelization of MAML
Jan Bollenbacher, Florian Soulier, Beate Rhein and Laurenz Wiskott13:00 90 minutes break 14:30 Keynote Talk
Session Chair: Annalisa AppiceMachine learning for Modelling and Understanding in Earth Sciences
Gustau Camps-Vals15:30 15 minute break 15:45 Community Meeting
A. Appice, G. Tsoumakas16:45 15 minute break 17:00 Data and Knowledge Representation
Session Chair: Larisa SoldatovaCOVID-19 therapy target discovery with context-aware literature mining
Matej Martinc, Blaž Škrlj, Sergej Pirkmajer, Nada Lavrač, Bojan Cestnik, Martin Marzidovšek and Senja PollakSemantic annotation of predictive modelling experiments
Ilin Tolovski, Sašo Džeroski and Panče PanovSemantic 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 DzeroskiMining Disjoint Sequential Pattern Pairs from Tourist Trajectory Data
Siqi Peng and Akihiro YamamotoMining Constrained Regions of Interest: An Optimization Approach
Alexandre Dubray, Guillaume Derval, Pierre Schaus and Siegfried NijssenTime Series Regression in Professional Road Cycling
Arie-Willem de Leeuw, Mathieu Heijboer, Mathijs Hofmijster, Stephan van der Zwaard and Arno KnobbeDetecting Temporal Anomalies in Business Processes using Distance-based Methods
Ioannis Mavroudopoulos and Anastasios Gounaris10:10 15 minute break 10:25 Clustering
Session Chair: Eirini NtoutsiConstrained Clustering via Post-Processing
Nguyen Viet Dung Nghiem, Christel Vrain, Thi-Bich-Hanh Dao and Ian DavidsonDeep Convolutional Embedding for Painting Clustering: Case Study on Picasso’s Artworks
Giovanna Castellano and Gennaro VessioDynamic Incremental Semi-Supervised Fuzzy Clustering for Bipolar Disorder Episode Prediction
Gabriella Casalino, Giovanna Castellano, Francesco Galetta and Katarzyna Kaczmarek-MajerIterative Multi-Mode Discretization: Applications to Co-Clustering
Hadi Fanaee-T and Magne Thoresen11:35 15 minute break 11:50 Classification
Session Chair: Eyke HüllermeierMitigating Discrimination in Clinical Machine Learning Decision Support using Algorithmic Processing Techniques
Emma Briggs and Jaakko HollménPredicting 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 SpiliopoulouMulti-Directional Rule Set Learning
Jonas Schouterden, Jesse Davis and Hendrik BlockeelWeakAL: Combining Active Learning and Weak Supervision
Julius Gonsior, Maik Thiele and Wolfgang Lehner13:00 90 minutes break 14:30 Keynote Talk
Session Chair: Stan MatwinThe highs and lows of performance evaluation: Towards a measurement theory for machine learning
Peter Flach15:30 15 minute break 15:45 Ensemble Methods
Session Chair: Pierre GeurtsExtreme Algorithm Selection with Dyadic Feature Representation
Alexander Tornede, Marcel Wever and Eyke HüllermeierFederated Ensemble Regression using Classification
Oghenejokpeme Orhobor, Larisa Soldatova and Ross KingOne-Class Ensembles for Rare Genomic Sequences Identification
Jonathan Kaufmann, Kathryn Asalone, Roberto Corizzo, Colin Saldanha, John Bracht and Nathalie JapkowiczMissing value imputation with MERCS: a faster alternative to MissForest when retraining is infeasible
Elia Van Wolputte and Hendrik Blockeel17:00 Conference Closing
Y. Manolopoulos, S. Matwin, A. Appice, G. Tsoumakas