Table of Contents

• Evaluating Decision Makers over Selectively Labelled Data: A Causal Modelling ApproachRiku Laine, Antti Hyttinen, Michael Mathioudakis. 3-18 [doi]
• Mitigating Discrimination in Clinical Machine Learning Decision Support Using Algorithmic Processing TechniquesEmma Briggs, Jaakko Hollmén. 19-33 [doi]
• WeakAL: Combining Active Learning and Weak SupervisionJulius Gonsior, Maik Thiele, Wolfgang Lehner. 34-49 [doi]
• Constrained Clustering via Post-processingNguyen-Viet-Dung Nghiem, Christel Vrain, Thi-Bich-Hanh Dao, Ian Davidson. 53-67 [doi]
• Deep Convolutional Embedding for Painting Clustering: Case Study on Picasso's ArtworksGiovanna Castellano, Gennaro Vessio. 68-78 [doi]
• Dynamic Incremental Semi-supervised Fuzzy Clustering for Bipolar Disorder Episode PredictionGabriella Casalino, Giovanna Castellano, Francesco Galetta, Katarzyna Kaczmarek-Majer. 79-93 [doi]
• Iterative Multi-mode Discretization: Applications to Co-clusteringHadi Fanaee-T, Magne Thoresen. 94-105 [doi]
• COVID-19 Therapy Target Discovery with Context-Aware Literature MiningMatej Martinc, Blaz Skrlj, Sergej Pirkmajer, Nada Lavrac, Bojan Cestnik, Martin Marzidovsek, Senja Pollak. 109-123 [doi]
• Semantic Annotation of Predictive Modelling ExperimentsIlin Tolovski, Saso Dzeroski, Pance Panov. 124-139 [doi]
• Semantic Description of Data Mining Datasets: An Ontology-Based Annotation SchemaAna Kostovska, Saso Dzeroski, Pance Panov. 140-155 [doi]
• FABBOO - Online Fairness-Aware Learning Under Class ImbalanceVasileios Iosifidis, Eirini Ntoutsi. 159-174 [doi]
• FEAT: A Fairness-Enhancing and Concept-Adapting Decision Tree ClassifierWenbin Zhang, Albert Bifet. 175-189 [doi]
• Unsupervised Concept Drift Detection Using a Student-Teacher ApproachVítor Cerqueira, Heitor Murilo Gomes, Albert Bifet. 190-204 [doi]
• Assembled Feature Selection for Credit Scoring in Microfinance with Non-traditional FeaturesSaulo Ruiz, Pedro Gomes, Luís Rodrigues, João Gama. 207-216 [doi]
• Learning Surrogates of a Radiative Transfer Model for the Sentinel 5P SatelliteJure Brence, Jovan Tanevski, Jennifer Adams, Edward Malina, Saso Dzeroski. 217-230 [doi]
• Nets Versus Trees for Feature Ranking and Gene Network InferenceNicolas Vecoven, Jean-Michel Begon, Antonio Sutera, Pierre Geurts, Vân Anh Huynh-Thu. 231-245 [doi]
• Pathway Activity Score Learning for Dimensionality Reduction of Gene Expression DataIoulia Karagiannaki, Yannis Pantazis, Ekaterini Chatzaki, Ioannis Tsamardinos. 246-261 [doi]
• Balancing Between Scalability and Accuracy in Time-Series Classification for Stream and Batch SettingsApostolos Glenis, George A. Vouros. 265-279 [doi]
• DeCStor: A Framework for Privately and Securely Sharing Files Using a Public BlockchainMaria Siopi, George Vlahavas, Kostas Karasavvas, Athena Vakali. 280-293 [doi]
• Investigating Parallelization of MAMLJan Bollenbacher, Florian Soulier, Beate Rhein, Laurenz Wiskott. 294-306 [doi]
• Extreme Algorithm Selection with Dyadic Feature RepresentationAlexander Tornede, Marcel Wever, Eyke Hüllermeier. 309-324 [doi]
• Federated Ensemble Regression Using ClassificationOghenejokpeme I. Orhobor, Larisa N. Soldatova, Ross D. King. 325-339 [doi]
• One-Class Ensembles for Rare Genomic Sequences IdentificationJonathan Kaufmann, Kathryn Asalone, Roberto Corizzo, Colin Saldanha, John Bracht, Nathalie Japkowicz. 340-354 [doi]
• Explaining Sentiment Classification with Synthetic Exemplars and Counter-ExemplarsOrestis Lampridis, Riccardo Guidotti, Salvatore Ruggieri. 357-373 [doi]
• Generating Explainable and Effective Data Descriptors Using Relational Learning: Application to Cancer BiologyOghenejokpeme I. Orhobor, Joseph French, Larisa N. Soldatova, Ross D. King. 374-385 [doi]
• Interpretable Machine Learning with Bitonic Generalized Additive Models and Automatic Feature ConstructionNoëlie Cherrier, Michael Mayo, Jean-Philippe Poli, Maxime Defurne, Franck Sabatié. 386-402 [doi]
• Predicting and Explaining Privacy Risk Exposure in Mobility DataFrancesca Naretto, Roberto Pellungrini, Anna Monreale, Franco Maria Nardini, Mirco Musolesi. 403-418 [doi]
• Maximizing Network Coverage Under the Presence of Time Constraint by Injecting Most Effective k-LinksKouzou Ohara, Takayasu Fushimi, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda. 421-436 [doi]
• On the Utilization of Structural and Textual Information of a Scientific Knowledge Graph to Discover Future Research Collaborations: A Link Prediction PerspectiveNikolaos Giarelis, Nikos Kanakaris, Nikos I. Karacapilidis. 437-450 [doi]
• Simultaneous Process Drift Detection and Characterization with Pattern-Based Change DetectorsAngelo Impedovo, Paolo Mignone, Corrado Loglisci, Michelangelo Ceci. 451-467 [doi]
• Extreme Gradient Boosted Multi-label Trees for Dynamic Classifier ChainsSimon Bohlender, Eneldo Loza Mencía, Moritz Kulessa. 471-485 [doi]
• Hierarchy Decomposition Pipeline: A Toolbox for Comparison of Model Induction Algorithms on Hierarchical Multi-label Classification ProblemsVedrana Vidulin, Saso Dzeroski. 486-501 [doi]
• Missing Value Imputation with MERCS: A Faster Alternative to MissForestElia Van Wolputte, Hendrik Blockeel. 502-516 [doi]
• Multi-directional Rule Set LearningJonas Schouterden, Jesse Davis, Hendrik Blockeel. 517-532 [doi]
• On Aggregation in Ensembles of Multilabel ClassifiersVu-Linh Nguyen, Eyke Hüllermeier, Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz. 533-547 [doi]
• Attention in Recurrent Neural Networks for Energy DisaggregationNikolaos Virtsionis Gkalinikis, Christoforos Nalmpantis, Dimitris Vrakas. 551-565 [doi]
• Enhanced Food Safety Through Deep Learning for Food Recalls PredictionGeorgios Makridis, Philip Mavrepis, Dimosthenis Kyriazis, Ioanna Polychronou, Stathis Kaloudis. 566-580 [doi]
• FairNN - Conjoint Learning of Fair Representations for Fair DecisionsTongxin Hu, Vasileios Iosifidis, Wentong Liao, Hang Zhang, Michael Ying Yang, Eirini Ntoutsi, Bodo Rosenhahn. 581-595 [doi]
• Improving Deep Unsupervised Anomaly Detection by Exploiting VAE Latent Space DistributionFabrizio Angiulli, Fabio Fassetti, Luca Ferragina. 596-611 [doi]
• Detecting Temporal Anomalies in Business Processes Using Distance-Based MethodsIoannis Mavroudopoulos, Anastasios Gounaris. 615-629 [doi]
• Mining Constrained Regions of Interest: An Optimization ApproachAlexandre Dubray, Guillaume Derval, Siegfried Nijssen, Pierre Schaus. 630-644 [doi]
• Mining Disjoint Sequential Pattern Pairs from Tourist Trajectory DataSiqi Peng, Akihiro Yamamoto. 645-658 [doi]
• Predicting the Health Condition of mHealth App Users with Large Differences in the Number of Recorded Observations - Where to Learn from?Vishnu Unnikrishnan, Yash Shah, Miro Schleicher, Mirela Strandzheva, Plamen Dimitrov, Doroteya Velikova, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou. 659-673 [doi]
• Spatiotemporal Traffic Anomaly Detection on Urban Road Network Using Tensor Decomposition MethodLeo Tisljaric, Sofia da Silva Fernandes, Tonci Caric, João Gama. 674-688 [doi]
• Time Series Regression in Professional Road CyclingArie-Willem de Leeuw, Mathieu Heijboer, Mathijs Hofmijster, Stephan van der Zwaard, Arno J. Knobbe. 689-703 [doi]