Discovery Science: 23rd International Conference, DS 2020, Thessaloniki, Greece, October 19–21, 2020, Proceedings [1st ed.] 9783030615260, 9783030615277

Table of contents :
Front Matter ....Pages i-xxi
Front Matter ....Pages 1-1
Evaluating Decision Makers over Selectively Labelled Data: A Causal Modelling Approach (Riku Laine, Antti Hyttinen, Michael Mathioudakis)....Pages 3-18
Mitigating Discrimination in Clinical Machine Learning Decision Support Using Algorithmic Processing Techniques (Emma Briggs, Jaakko Hollmén)....Pages 19-33
WeakAL: Combining Active Learning and Weak Supervision (Julius Gonsior, Maik Thiele, Wolfgang Lehner)....Pages 34-49
Front Matter ....Pages 51-51
Constrained Clustering via Post-processing (Nguyen-Viet-Dung Nghiem, Christel Vrain, Thi-Bich-Hanh Dao, Ian Davidson)....Pages 53-67
Deep Convolutional Embedding for Painting Clustering: Case Study on Picasso’s Artworks (Giovanna Castellano, Gennaro Vessio)....Pages 68-78
Dynamic Incremental Semi-supervised Fuzzy Clustering for Bipolar Disorder Episode Prediction (Gabriella Casalino, Giovanna Castellano, Francesco Galetta, Katarzyna Kaczmarek-Majer)....Pages 79-93
Iterative Multi-mode Discretization: Applications to Co-clustering (Hadi Fanaee-T, Magne Thoresen)....Pages 94-105
Front Matter ....Pages 107-107
COVID-19 Therapy Target Discovery with Context-Aware Literature Mining (Matej Martinc, Blaž àkrlj, Sergej Pirkmajer, Nada Lavrač, Bojan Cestnik, Martin Marzidovšek et al.)....Pages 109-123
Semantic Annotation of Predictive Modelling Experiments (Ilin Tolovski, Sašo Džeroski, Panče Panov)....Pages 124-139
Semantic Description of Data Mining Datasets: An Ontology-Based Annotation Schema (Ana Kostovska, Sašo Džeroski, Panče Panov)....Pages 140-155
Front Matter ....Pages 157-157
\(\mathsf {FABBOO}\) - Online Fairness-Aware Learning Under Class Imbalance (Vasileios Iosifidis, Eirini Ntoutsi)....Pages 159-174
FEAT: A Fairness-Enhancing and Concept-Adapting Decision Tree Classifier (Wenbin Zhang, Albert Bifet)....Pages 175-189
Unsupervised Concept Drift Detection Using a Student–Teacher Approach (Vitor Cerqueira, Heitor Murilo Gomes, Albert Bifet)....Pages 190-204
Front Matter ....Pages 205-205
Assembled Feature Selection for Credit Scoring in Microfinance with Non-traditional Features (Saulo Ruiz, Pedro Gomes, Luís Rodrigues, João Gama)....Pages 207-216
Learning Surrogates of a Radiative Transfer Model for the Sentinel 5P Satellite (Jure Brence, Jovan Tanevski, Jennifer Adams, Edward Malina, Sašo Džeroski)....Pages 217-230
Nets Versus Trees for Feature Ranking and Gene Network Inference (Nicolas Vecoven, Jean-Michel Begon, Antonio Sutera, Pierre Geurts, Vân Anh Huynh-Thu)....Pages 231-245
Pathway Activity Score Learning for Dimensionality Reduction of Gene Expression Data (Ioulia Karagiannaki, Yannis Pantazis, Ekaterini Chatzaki, Ioannis Tsamardinos)....Pages 246-261
Front Matter ....Pages 263-263
Balancing Between Scalability and Accuracy in Time-Series Classification for Stream and Batch Settings (Apostolos Glenis, George A. Vouros)....Pages 265-279
DeCStor: A Framework for Privately and Securely Sharing Files Using a Public Blockchain (Maria Siopi, George Vlahavas, Kostas Karasavvas, Athena Vakali)....Pages 280-293
Investigating Parallelization of MAML (Jan Bollenbacher, Florian Soulier, Beate Rhein, Laurenz Wiskott)....Pages 294-306
Front Matter ....Pages 307-307
Extreme Algorithm Selection with Dyadic Feature Representation (Alexander Tornede, Marcel Wever, Eyke Hüllermeier)....Pages 309-324
Federated Ensemble Regression Using Classification (Oghenejokpeme I. Orhobor, Larisa N. Soldatova, Ross D. King)....Pages 325-339
One-Class Ensembles for Rare Genomic Sequences Identification (Jonathan Kaufmann, Kathryn Asalone, Roberto Corizzo, Colin Saldanha, John Bracht, Nathalie Japkowicz)....Pages 340-354
Front Matter ....Pages 355-355
Explaining Sentiment Classification with Synthetic Exemplars and Counter-Exemplars (Orestis Lampridis, Riccardo Guidotti, Salvatore Ruggieri)....Pages 357-373
Generating Explainable and Effective Data Descriptors Using Relational Learning: Application to Cancer Biology (Oghenejokpeme I. Orhobor, Joseph French, Larisa N. Soldatova, Ross D. King)....Pages 374-385
Interpretable Machine Learning with Bitonic Generalized Additive Models and Automatic Feature Construction (Noëlie Cherrier, Michael Mayo, Jean-Philippe Poli, Maxime Defurne, Franck Sabatié)....Pages 386-402
Predicting and Explaining Privacy Risk Exposure in Mobility Data (Francesca Naretto, Roberto Pellungrini, Anna Monreale, Franco Maria Nardini, Mirco Musolesi)....Pages 403-418
Front Matter ....Pages 419-419
Maximizing Network Coverage Under the Presence of Time Constraint by Injecting Most Effective k-Links (Kouzou Ohara, Takayasu Fushimi, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda)....Pages 421-436
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, Nikos Karacapilidis)....Pages 437-450
Simultaneous Process Drift Detection and Characterization with Pattern-Based Change Detectors (Angelo Impedovo, Paolo Mignone, Corrado Loglisci, Michelangelo Ceci)....Pages 451-467
Front Matter ....Pages 469-469
Extreme Gradient Boosted Multi-label Trees for Dynamic Classifier Chains (Simon Bohlender, Eneldo Loza Mencía, Moritz Kulessa)....Pages 471-485
Hierarchy Decomposition Pipeline: A Toolbox for Comparison of Model Induction Algorithms on Hierarchical Multi-label Classification Problems (Vedrana Vidulin, Sašo Džeroski)....Pages 486-501
Missing Value Imputation with MERCS: A Faster Alternative to MissForest (Elia Van Wolputte, Hendrik Blockeel)....Pages 502-516
Multi-directional Rule Set Learning (Jonas Schouterden, Jesse Davis, Hendrik Blockeel)....Pages 517-532
On Aggregation in Ensembles of Multilabel Classifiers (Vu-Linh Nguyen, Eyke Hüllermeier, Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz)....Pages 533-547
Front Matter ....Pages 549-549
Attention in Recurrent Neural Networks for Energy Disaggregation (Nikolaos Virtsionis Gkalinikis, Christoforos Nalmpantis, Dimitris Vrakas)....Pages 551-565
Enhanced Food Safety Through Deep Learning for Food Recalls Prediction (Georgios Makridis, Philip Mavrepis, Dimosthenis Kyriazis, Ioanna Polychronou, Stathis Kaloudis)....Pages 566-580
FairNN - Conjoint Learning of Fair Representations for Fair Decisions (Tongxin Hu, Vasileios Iosifidis, Wentong Liao, Hang Zhang, Michael Ying Yang, Eirini Ntoutsi et al.)....Pages 581-595
Improving Deep Unsupervised Anomaly Detection by Exploiting VAE Latent Space Distribution (Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina)....Pages 596-611
Front Matter ....Pages 613-613
Detecting Temporal Anomalies in Business Processes Using Distance-Based Methods (Ioannis Mavroudopoulos, Anastasios Gounaris)....Pages 615-629
Mining Constrained Regions of Interest: An Optimization Approach (Alexandre Dubray, Guillaume Derval, Siegfried Nijssen, Pierre Schaus)....Pages 630-644
Mining Disjoint Sequential Pattern Pairs from Tourist Trajectory Data (Siqi Peng, Akihiro Yamamoto)....Pages 645-658
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 et al.)....Pages 659-673
Spatiotemporal Traffic Anomaly Detection on Urban Road Network Using Tensor Decomposition Method (Leo Tišljarić, Sofia Fernandes, Tonči Carić, João Gama)....Pages 674-688
Time Series Regression in Professional Road Cycling (Arie-Willem de Leeuw, Mathieu Heijboer, Mathijs Hofmijster, Stephan van der Zwaard, Arno Knobbe)....Pages 689-703
Back Matter ....Pages 705-706

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