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Publication search results
found 46 matches
- 2020
- Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina:
Improving Deep Unsupervised Anomaly Detection by Exploiting VAE Latent Space Distribution. DS 2020: 596-611 - Simon Bohlender, Eneldo Loza Mencía, Moritz Kulessa:
Extreme Gradient Boosted Multi-label Trees for Dynamic Classifier Chains. DS 2020: 471-485 - Jan Bollenbacher, Florian Soulier, Beate Rhein, Laurenz Wiskott:
Investigating Parallelization of MAML. DS 2020: 294-306 - Jure Brence, Jovan Tanevski, Jennifer Adams, Edward Malina, Saso Dzeroski:
Learning Surrogates of a Radiative Transfer Model for the Sentinel 5P Satellite. DS 2020: 217-230 - Emma Briggs, Jaakko Hollmén:
Mitigating Discrimination in Clinical Machine Learning Decision Support Using Algorithmic Processing Techniques. DS 2020: 19-33 - Gabriella Casalino, Giovanna Castellano, Francesco Galetta, Katarzyna Kaczmarek-Majer:
Dynamic Incremental Semi-supervised Fuzzy Clustering for Bipolar Disorder Episode Prediction. DS 2020: 79-93 - Giovanna Castellano, Gennaro Vessio:
Deep Convolutional Embedding for Painting Clustering: Case Study on Picasso's Artworks. DS 2020: 68-78 - Vítor Cerqueira, Heitor Murilo Gomes, Albert Bifet:
Unsupervised Concept Drift Detection Using a Student-Teacher Approach. DS 2020: 190-204 - Noëlie Cherrier, Michael Mayo, Jean-Philippe Poli, Maxime Defurne, Franck Sabatié:
Interpretable Machine Learning with Bitonic Generalized Additive Models and Automatic Feature Construction. DS 2020: 386-402 - Alexandre Dubray, Guillaume Derval, Siegfried Nijssen, Pierre Schaus:
Mining Constrained Regions of Interest: An Optimization Approach. DS 2020: 630-644 - Hadi Fanaee-T, Magne Thoresen:
Iterative Multi-mode Discretization: Applications to Co-clustering. DS 2020: 94-105 - Nikolaos Giarelis, Nikos Kanakaris, Nikos I. Karacapilidis:
On the Utilization of Structural and Textual Information of a Scientific Knowledge Graph to Discover Future Research Collaborations: A Link Prediction Perspective. DS 2020: 437-450 - Nikolaos Virtsionis Gkalinikis, Christoforos Nalmpantis, Dimitris Vrakas:
Attention in Recurrent Neural Networks for Energy Disaggregation. DS 2020: 551-565 - Apostolos Glenis, George A. Vouros:
Balancing Between Scalability and Accuracy in Time-Series Classification for Stream and Batch Settings. DS 2020: 265-279 - Julius Gonsior, Maik Thiele, Wolfgang Lehner:
WeakAL: Combining Active Learning and Weak Supervision. DS 2020: 34-49 - Tongxin Hu, Vasileios Iosifidis, Wentong Liao, Hang Zhang, Michael Ying Yang, Eirini Ntoutsi, Bodo Rosenhahn:
FairNN - Conjoint Learning of Fair Representations for Fair Decisions. DS 2020: 581-595 - Angelo Impedovo, Paolo Mignone, Corrado Loglisci, Michelangelo Ceci:
Simultaneous Process Drift Detection and Characterization with Pattern-Based Change Detectors. DS 2020: 451-467 - Vasileios Iosifidis, Eirini Ntoutsi:
FABBOO - Online Fairness-Aware Learning Under Class Imbalance. DS 2020: 159-174 - Ioulia Karagiannaki, Yannis Pantazis, Ekaterini Chatzaki, Ioannis Tsamardinos:
Pathway Activity Score Learning for Dimensionality Reduction of Gene Expression Data. DS 2020: 246-261 - Jonathan Kaufmann, Kathryn Asalone, Roberto Corizzo, Colin Saldanha, John R. Bracht, Nathalie Japkowicz:
One-Class Ensembles for Rare Genomic Sequences Identification. DS 2020: 340-354 - Ana Kostovska, Saso Dzeroski, Pance Panov:
Semantic Description of Data Mining Datasets: An Ontology-Based Annotation Schema. DS 2020: 140-155 - Riku Laine, Antti Hyttinen, Michael Mathioudakis:
Evaluating Decision Makers over Selectively Labelled Data: A Causal Modelling Approach. DS 2020: 3-18 - Orestis Lampridis, Riccardo Guidotti, Salvatore Ruggieri:
Explaining Sentiment Classification with Synthetic Exemplars and Counter-Exemplars. DS 2020: 357-373 - Arie-Willem de Leeuw, Mathieu Heijboer, Mathijs Hofmijster, Stephan van der Zwaard, Arno J. Knobbe:
Time Series Regression in Professional Road Cycling. DS 2020: 689-703 - Georgios Makridis, Philip Mavrepis, Dimosthenis Kyriazis, Ioanna Polychronou, Stathis Kaloudis:
Enhanced Food Safety Through Deep Learning for Food Recalls Prediction. DS 2020: 566-580 - Matej Martinc, Blaz Skrlj, Sergej Pirkmajer, Nada Lavrac, Bojan Cestnik, Martin Marzidovsek, Senja Pollak:
COVID-19 Therapy Target Discovery with Context-Aware Literature Mining. DS 2020: 109-123 - Ioannis Mavroudopoulos, Anastasios Gounaris:
Detecting Temporal Anomalies in Business Processes Using Distance-Based Methods. DS 2020: 615-629 - Francesca Naretto, Roberto Pellungrini, Anna Monreale, Franco Maria Nardini, Mirco Musolesi:
Predicting and Explaining Privacy Risk Exposure in Mobility Data. DS 2020: 403-418 - Nguyen-Viet-Dung Nghiem, Christel Vrain, Thi-Bich-Hanh Dao, Ian Davidson:
Constrained Clustering via Post-processing. DS 2020: 53-67 - Vu-Linh Nguyen, Eyke Hüllermeier, Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz:
On Aggregation in Ensembles of Multilabel Classifiers. DS 2020: 533-547
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