| 2021 | Composite Surrogate for Likelihood-Free Bayesian Optimisation in High-Dimensional Settings of Activity-Based Transportation Models. | Vladimir Kuzmanovski, Jaakko Hollmn |
| 2021 | Revisiting Non-specific Syndromic Surveillance. | Moritz Kulessa, Eneldo Loza Menca, Johannes Frnkranz |
| 2021 | Reducing Negative Impact of Noise in Boolean Matrix Factorization with Association Rules. | Petr Krajca, Martin Trnecka |
| 2021 | Active Selection of Classification Features. | Thomas T. Kok, Rachel M. Brouwer, Ren C. W. Mandl, Hugo G. Schnack, Georg Krempl |
| 2021 | Ising-Based Louvain Method: Clustering Large Graphs with Specialized Hardware. | Pouya Rezazadeh Kalehbasti, Hayato Ushijima-Mwesigwa, Avradip Mandal, Indradeep Ghosh |
| 2021 | Hyperspherical Weight Uncertainty in Neural Networks. | Biraja Ghoshal, Allan Tucker |
| 2021 | Bandit Algorithm for both Unknown Best Position and Best Item Display on Web Pages. | Camille-Sovanneary Gauthier, Romaric Gaudel, lisa Fromont |
| 2021 | Analogical Embedding for Analogy-Based Learning to Rank. | Mohsen Ahmadi Fahandar, Eyke Hllermeier |
| 2021 | HORUS-NER: A Multimodal Named Entity Recognition Framework for Noisy Data. | Diego Esteves, Jos Marcelino, Piyush Chawla, Asja Fischer, Jens Lehmann |
| 2021 | BoneBert: A BERT-based Automated Information Extraction System of Radiology Reports for Bone Fracture Detection and Diagnosis. | Zhihao Dai, Zhong Li, Lianghao Han |
| 2021 | SpLyCI: Integrating Spreadsheets by Recognising and Solving Layout Constraints. | Dirko Coetsee, Steve Kroon, McElory Hoffmann, Luc De Raedt |
| 2021 | The Compromise of Data Privacy in Predictive Performance. | Tnia Carvalho, Nuno Moniz |
| 2021 | Efficient Privacy Preserving Distributed K-Means for Non-IID Data. | Andr Brando, Ricardo Mendes, Joo P. Vilela |
| 2021 | Intelligent Structural Damage Detection: A Federated Learning Approach. | Ali Anaissi, Basem Suleiman, Mohamad Naji |
| 2021 | Multiple-manifold Generation with an Ensemble GAN and Learned Noise Prior. | Matthew Amodio, Smita Krishnaswamy |
| 2020 | Angle-Based Crowding Degree Estimation for Many-Objective Optimization. | Yani Xue, Miqing Li, Xiaohui Liu |
| 2020 | LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-label Classification. | Marcel Wever, Alexander Tornede, Felix Mohr, Eyke Hllermeier |
| 2020 | Making Learners (More) Monotone. | Tom Julian Viering, Alexander Mey, Marco Loog |
| 2020 | Comparing the Preservation of Network Properties by Graph Embeddings. | Rmi Vaudaine, Rmy Cazabet, Christine Largeron |
| 2020 | Orometric Methods in Bounded Metric Data. | Maximilian Stubbemann, Tom Hanika, Gerd Stumme |
| 2020 | Predicting Remaining Useful Life with Similarity-Based Priors. | Youri Soons, Remco M. Dijkman, Maurice Jilderda, Wouter Duivesteijn |
| 2020 | Supervised Phrase-Boundary Embeddings. | Manni Singh, David J. Weston, Mark Levene |
| 2020 | Master Your Metrics with Calibration. | Wissam Siblini, Jordan Frry, Liyun He-Guelton, Frdric Obl, Yi-Qing Wang |
| 2020 | Aleatoric and Epistemic Uncertainty with Random Forests. | Mohammad Hossein Shaker, Eyke Hllermeier |
| 2020 | Human-to-AI Coach: Improving Human Inputs to AI Systems. | Johannes Schneider |