| 2019 | A Combinatorial Multi-Armed Bandit Based Method for Dynamic Consensus Community Detection in Temporal Networks. Domenico Mandaglio, Andrea Tagarelli |
| 2019 | A Density Estimation Approach for Detecting and Explaining Exceptional Values in Categorical Data. Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli, Cristina Serrao |
| 2019 | A Framework for Human-Centered Exploration of Complex Event Log Graphs. Martin Atzmueller, Stefan Bloemheuvel, Benjamin Klöpper |
| 2019 | A Sampling-Based Approach for Discovering Subspace Clusters. Sandy Moens, Boris Cule, Bart Goethals |
| 2019 | A Unified Approach to Biclustering Based on Formal Concept Analysis and Interval Pattern Structure. Nyoman Juniarta, Miguel Couceiro, Amedeo Napoli |
| 2019 | Adaptive Long-Term Ensemble Learning from Multiple High-Dimensional Time-Series. Samaneh Khoshrou, Mykola Pechenizkiy |
| 2019 | Cellular Traffic Prediction and Classification: A Comparative Evaluation of LSTM and ARIMA. Amin Azari, Panagiotis Papapetrou, Stojan Z. Denic, Gunnar Peters |
| 2019 | Construction of Histogram with Variable Bin-Width Based on Change Point Detection. Takayasu Fushimi, Kiyoto Iwasaki, Seiya Okubo, Kazumi Saito |
| 2019 | Dataset Morphing to Analyze the Performance of Collaborative Filtering. André Correia, Carlos Soares, Alípio Jorge |
| 2019 | Deep Learning Does Not Generalize Well to Recognizing Cats and Dogs in Chinese Paintings. Qianqian Gu, Ross King |
| 2019 | Deep Triplet-Driven Semi-supervised Embedding Clustering. Dino Ienco, Ruggero G. Pensa |
| 2019 | Discovery Science - 22nd International Conference, DS 2019, Split, Croatia, October 28-30, 2019, Proceedings Petra Kralj Novak, Tomislav Smuc, Saso Dzeroski |
| 2019 | Efficient Discovery of Expressive Multi-label Rules Using Relaxed Pruning. Yannik Klein, Michael Rapp, Eneldo Loza Mencía |
| 2019 | Efficient and Accurate Non-exhaustive Pattern-Based Change Detection in Dynamic Networks. Angelo Impedovo, Michelangelo Ceci, Toon Calders |
| 2019 | Embedding to Reference t-SNE Space Addresses Batch Effects in Single-Cell Classification. Pavlin G. Policar, Martin Strazar, Blaz Zupan |
| 2019 | Enhancing BMI-Based Student Clustering by Considering Fitness as Key Attribute. Erik Dovgan, Bojan Leskosek, Gregor Jurak, Gregor Starc, Maroje Soric, Mitja Lustrek |
| 2019 | Ensemble Clustering for Novelty Detection in Data Streams. Kemilly Dearo Garcia, Elaine Ribeiro de Faria, Cláudio Rebelo de Sá, João Mendes-Moreira, Charu C. Aggarwal, André C. P. L. F. de Carvalho, Joost N. Kok |
| 2019 | Ensemble-Based Feature Ranking for Semi-supervised Classification. Matej Petkovic, Saso Dzeroski, Dragi Kocev |
| 2019 | Epistemic Uncertainty Sampling. Vu-Linh Nguyen, Sébastien Destercke, Eyke Hüllermeier |
| 2019 | Evolving Social Networks Analysis via Tensor Decompositions: From Global Event Detection Towards Local Pattern Discovery and Specification. Sofia Fernandes, Hadi Fanaee-T, João Gama |
| 2019 | Fast Distance-Based Anomaly Detection in Images Using an Inception-Like Autoencoder. Natasa Sarafijanovic-Djukic, Jesse Davis |
| 2019 | Feature Selection for Analogy-Based Learning to Rank. Mohsen Ahmadi Fahandar, Eyke Hüllermeier |
| 2019 | Fourier-Based Parametrization of Convolutional Neural Networks for Robust Time Series Forecasting. Sascha Krstanovic, Heiko Paulheim |
| 2019 | Hyperparameter Importance for Image Classification by Residual Neural Networks. Abhinav Sharma, Jan N. van Rijn, Frank Hutter, Andreas Müller |
| 2019 | Integrating LSTMs with Online Density Estimation for the Probabilistic Forecast of Energy Consumption. Julian Vexler, Stefan Kramer |
| 2019 | KnowBots: Discovering Relevant Patterns in Chatbot Dialogues. Adriano Rivolli, Catarina Amaral, Luís Guardão, Cláudio Rebelo de Sá, Carlos Soares |
| 2019 | Layered Learning for Early Anomaly Detection: Predicting Critical Health Episodes. Vítor Cerqueira, Luís Torgo, Carlos Soares |
| 2019 | Main Factors Driving the Open Rate of Email Marketing Campaigns. Andreia Conceição, João Gama |
| 2019 | Mining Patterns in Source Code Using Tree Mining Algorithms. Hoang-Son Pham, Siegfried Nijssen, Kim Mens, Dario Di Nucci, Tim Molderez, Coen De Roover, Johan Fabry, Vadim Zaytsev |
| 2019 | Mining a Maximum Weighted Set of Disjoint Submatrices. Vincent Branders, Guillaume Derval, Pierre Schaus, Pierre Dupont |
| 2019 | Neurodegenerative Disease Data Ontology. Ana Kostovska, Ilin Tolovski, Fatima S. Maikore, Larisa N. Soldatova, Pance Panov |
| 2019 | On the Trade-Off Between Consistency and Coverage in Multi-label Rule Learning Heuristics. Michael Rapp, Eneldo Loza Mencía, Johannes Fürnkranz |
| 2019 | Parameter-Less Tensor Co-clustering. Elena Battaglia, Ruggero G. Pensa |
| 2019 | Predicting Thermal Power Consumption of the Mars Express Satellite with Data Stream Mining. Bozhidar Stevanoski, Dragi Kocev, Aljaz Osojnik, Ivica Dimitrovski, Saso Dzeroski |
| 2019 | Resampling-Based Framework for Unbiased Estimator of Node Centrality over Large Complex Network. Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda |
| 2019 | Sparse Robust Regression for Explaining Classifiers. Anton Björklund, Andreas Henelius, Emilia Oikarinen, Kimmo Kallonen, Kai Puolamäki |
| 2019 | Symbolic Graph Embedding Using Frequent Pattern Mining. Blaz Skrlj, Nada Lavrac, Jan Kralj |
| 2019 | Temporal Analysis of Adverse Weather Conditions Affecting Wheat Production in Finland. Vladimir Kuzmanovski, Mika Sulkava, Taru Palosuo, Jaakko Hollmén |
| 2019 | The CURE for Class Imbalance. Colin Bellinger, Paula Branco, Luís Torgo |
| 2019 | Utilizing Hierarchies in Tree-Based Online Structured Output Prediction. Aljaz Osojnik, Pance Panov, Saso Dzeroski |
| 2019 | Variance-Based Feature Importance in Neural Networks. Cláudio Rebelo de Sá |