DS B

40 papers

YearTitle / Authors
2022A Clustering-Inspired Quality Measure for Exceptional Preferences Mining - Design Choices and Consequences.
Ruben Franciscus Adrianus Verhaegh, Jacco Johannes Egbert Kiezebrink, Frank Nusteling, Arnaud Wander André Rio, Márton Bendegúz Bendicsek, Wouter Duivesteijn, Rianne Margaretha Schouten
2022A Fast Heuristic for Computing Geodesic Closures in Large Networks.
Florian Seiffarth, Tamás Horváth, Stefan Wrobel
2022A Fuzzy OWL Ontologies Embedding for Complex Ontology Alignments.
Houda Akremi, Mouhamed Gaith Ayadi, Sami Zghal
2022Adaptive Neural Networks for Online Domain Incremental Continual Learning.
Nuwan Gunasekara, Heitor Murilo Gomes, Albert Bifet, Bernhard Pfahringer
2022Can Cross-Domain Term Extraction Benefit from Cross-lingual Transfer?
Tran Thi Hong Hanh, Matej Martinc, Antoine Doucet, Senja Pollak
2022Community Detection in Edge-Labeled Graphs.
Iiro Kumpulainen, Nikolaj Tatti
2022Cooperative Deep Unsupervised Anomaly Detection.
Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina, Rosaria Spada
2022Data-Driven Prediction of Athletes' Performance Based on Their Social Media Presence.
Frank Dreyer, Jannik Greif, Kolja Günther, Myra Spiliopoulou, Uli Niemann
2022Discovery Science - 25th International Conference, DS 2022, Montpellier, France, October 10-12, 2022, Proceedings
Pascal Poncelet, Dino Ienco
2022Discovery of Differential Equations Using Probabilistic Grammars.
Bostjan Gec, Nina Omejc, Jure Brence, Saso Dzeroski, Ljupco Todorovski
2022Efficient Multivariate Data Fusion for Misinformation Detection During High Impact Events.
Lucas P. Damasceno, Allison Shafer, Nathalie Japkowicz, Charles C. Cavalcante, Zois Boukouvalas
2022Elastic Product Quantization for Time Series.
Pieter Robberechts, Wannes Meert, Jesse Davis
2022Explaining Crash Predictions on Multivariate Time Series Data.
Francesco Spinnato, Riccardo Guidotti, Mirco Nanni, Daniele Maccagnola, Giulia Paciello, Antonio Bencini Farina
2022Explaining Siamese Networks in Few-Shot Learning for Audio Data.
Andrea Fedele, Riccardo Guidotti, Dino Pedreschi
2022Hyperparameter Importance of Quantum Neural Networks Across Small Datasets.
Charles Moussa, Jan N. van Rijn, Thomas Bäck, Vedran Dunjko
2022ImitAL: Learned Active Learning Strategy on Synthetic Data.
Julius Gonsior, Maik Thiele, Wolfgang Lehner
2022Incremental Update of Locally Optimal Classification Rules.
Van Quoc Phuong Huynh, Florian Beck, Johannes Fürnkranz
2022Interpretable Latent Space to Enable Counterfactual Explanations.
Francesco Bodria, Riccardo Guidotti, Fosca Giannotti, Dino Pedreschi
2022JUICE: JUstIfied Counterfactual Explanations.
Alejandro Kuratomi, Ioanna Miliou, Zed Lee, Tony Lindgren, Panagiotis Papapetrou
2022Leveraging Spatio-Temporal Autocorrelation to Improve the Forecasting of the Energy Consumption in Smart Grids.
Annunziata D'Aversa, Stefano Polimena, Gianvito Pio, Michelangelo Ceci
2022Link Prediction with Text in Online Social Networks: The Role of Textual Content on High-Resolution Temporal Data.
Manuel Dileo, Cheick Tidiane Ba, Matteo Zignani, Sabrina Gaito
2022MQ-OFL: Multi-sensitive Queue-based Online Fair Learning.
Farnaz Sadeghi, Herna L. Viktor
2022Model Optimization in Imbalanced Regression.
Anibal Silva, Rita P. Ribeiro, Nuno Moniz
2022Multi-attribute Transformers for Sequence Prediction in Business Process Management.
Gonzalo Rivera Lazo, Ricardo Ñanculef
2022Multi-fairness Under Class-Imbalance.
Arjun Roy, Vasileios Iosifidis, Eirini Ntoutsi
2022On the Ranking of Variable Length Discords Through a Hybrid Outlier Detection Approach.
Hussein El Khansa, Carmen Gervet, Audrey Brouillet
2022Optimal Decoding of Hidden Markov Models with Consistency Constraints.
Alexandre Dubray, Guillaume Derval, Siegfried Nijssen, Pierre Schaus
2022Policy Evaluation with Delayed, Aggregated Anonymous Feedback.
Guilherme Dinis Junior, Sindri Magnússon, Jaakko Hollmén
2022Predicting Potential Real-Time Donations in YouTube Live Streaming Services via Continuous-Time Dynamic Graph.
Ruidong Jin, Xin Liu, Tsuyoshi Murata
2022Predicting User Dropout from Their Online Learning Behavior.
Parisa Shayan, Menno van Zaanen, Martin Atzmueller
2022Recurrent Segmentation Meets Block Models in Temporal Networks.
Chamalee Wickrama Arachchi, Nikolaj Tatti
2022Retrieval-Efficiency Trade-Off of Unsupervised Keyword Extraction.
Blaz Skrlj, Boshko Koloski, Senja Pollak
2022Semi-parametric Approach to Random Forests for High-Dimensional Bayesian Optimisation.
Vladimir Kuzmanovski, Jaakko Hollmén
2022Semi-supervised Change Point Detection Using Active Learning.
Arne De Brabandere, Zhenxiang Cao, Maarten De Vos, Alexander Bertrand, Jesse Davis
2022Shapley Chains: Extending Shapley Values to Classifier Chains.
Célia Wafa Ayad, Thomas Bonnier, Benjamin Bosch, Jesse Read
2022Spatial Cross-Validation for Globally Distributed Data.
Rita Beigaite, Michael Mechenich, Indre Zliobaite
2022Stress Detection from Wearable Sensor Data Using Gramian Angular Fields and CNN.
Michela Quadrini, Sebastian Daberdaku, Alessandro Blanda, Antonino Capuccio, Luca Bellanova, Gianluca Gerard
2022TextMatcher: Cross-Attentional Neural Network to Compare Image and Text.
Valentina Arrigoni, Luisa Repele, Dario Marino Saccavino
2022Weakly Supervised Named Entity Recognition for Carbon Storage Using Deep Neural Networks.
René Gómez Londoño, Sylvain Wlodarczyk, Molood Arman, Francesca Bugiotti, Nacéra Bennacer Seghouani
2022When Correlation Clustering Meets Fairness Constraints.
Francesco Gullo, Lucio La Cava, Domenico Mandaglio, Andrea Tagarelli