| 2021 | A Network Intrusion Detection System for Concept Drifting Network Traffic Data. Giuseppina Andresini, Annalisa Appice, Corrado Loglisci, Vincenzo Belvedere, Domenico Redavid, Donato Malerba |
| 2021 | A Semi-supervised Framework for Misinformation Detection. Yueyang Liu, Zois Boukouvalas, Nathalie Japkowicz |
| 2021 | A Sentence-Level Hierarchical BERT Model for Document Classification with Limited Labelled Data. Jinghui Lu, Maeve Henchion, Ivan Bacher, Brian Mac Namee |
| 2021 | An Analysis of Performance Metrics for Imbalanced Classification. Jean-Gabriel Gaudreault, Paula Branco, João Gama |
| 2021 | An Ensemble Hypergraph Learning Framework for Recommendation. Alireza Gharahighehi, Celine Vens, Konstantinos Pliakos |
| 2021 | Automated Grading of Exam Responses: An Extensive Classification Benchmark. Jimmy Ljungman, Vanessa Lislevand, John Pavlopoulos, Alexandra Farazouli, Zed Lee, Panagiotis Papapetrou, Uno Fors |
| 2021 | Automatic Human-Like Detection of Code Smells. Chitsutha Soomlek, Jan N. van Rijn, Marcello M. Bonsangue |
| 2021 | Calibrated Resampling for Imbalanced and Long-Tails in Deep Learning. Colin Bellinger, Roberto Corizzo, Nathalie Japkowicz |
| 2021 | Combining Predictions Under Uncertainty: The Case of Random Decision Trees. Florian Busch, Moritz Kulessa, Eneldo Loza Mencía, Hendrik Blockeel |
| 2021 | Consensus Based Vertically Partitioned Multi-layer Perceptrons for Edge Computing. Haimonti Dutta, Saurabh Amarnath Mahindre, Nitin Nataraj |
| 2021 | Controlling BigGAN Image Generation with a Segmentation Network. Aman Jaiswal, Harpreet Singh Sodhi, Mohamed Muzamil H, Rajveen Singh Chandhok, Sageev Oore, Chandramouli Shama Sastry |
| 2021 | Deriving a Single Interpretable Model by Merging Tree-Based Classifiers. Valerio Bonsignori, Riccardo Guidotti, Anna Monreale |
| 2021 | Discovery Science - 24th International Conference, DS 2021, Halifax, NS, Canada, October 11-13, 2021, Proceedings Carlos Soares, Luís Torgo |
| 2021 | Elliptical Ordinal Embedding. Aïssatou Diallo, Johannes Fürnkranz |
| 2021 | Ensemble of Counterfactual Explainers. Riccardo Guidotti, Salvatore Ruggieri |
| 2021 | FHA: Fast Heuristic Attack Against Graph Convolutional Networks. Haoxi Zhan, Xiaobing Pei |
| 2021 | GANs for Tabular Healthcare Data Generation: A Review on Utility and Privacy. João Coutinho-Almeida, Pedro Pereira Rodrigues, Ricardo João Cruz Correia |
| 2021 | HTML-LSTM: Information Extraction from HTML Tables in Web Pages Using Tree-Structured LSTM. Kazuki Kawamura, Akihiro Yamamoto |
| 2021 | Incremental k-Nearest Neighbors Using Reservoir Sampling for Data Streams. Maroua Bahri, Albert Bifet |
| 2021 | KATRec: Knowledge Aware aTtentive Sequential Recommendations. Mehrnaz Amjadi, Seyed Danial Mohseni Taheri, Theja Tulabandhula |
| 2021 | Knowledge Discovery of the Delays Experienced in Reporting COVID-19 Confirmed Positive Cases Using Time to Event Models. Aleksandar Novakovic, Adele H. Marshall, Carolyn McGregor |
| 2021 | Learning Time Series Counterfactuals via Latent Space Representations. Zhendong Wang, Isak Samsten, Rami Mochaourab, Panagiotis Papapetrou |
| 2021 | Leveraging Grad-CAM to Improve the Accuracy of Network Intrusion Detection Systems. Francesco Paolo Caforio, Giuseppina Andresini, Gennaro Vessio, Annalisa Appice, Donato Malerba |
| 2021 | Local Exceptionality Detection in Time Series Using Subgroup Discovery: An Approach Exemplified on Team Interaction Data. Dan Hudson, Travis J. Wiltshire, Martin Atzmueller |
| 2021 | Local Interpretable Classifier Explanations with Self-generated Semantic Features. Fabrizio Angiulli, Fabio Fassetti, Simona Nisticò |
| 2021 | Multi-scale Sentiment Analysis of Location-Enriched COVID-19 Arabic Social Data. Tarek Elsaka, Imad Afyouni, Ibrahim Abaker Targio Hashem, Zaher Al Aghbari |
| 2021 | Neural Additive Vector Autoregression Models for Causal Discovery in Time Series. Bart Bussmann, Jannes Nys, Steven Latré |
| 2021 | Predicting Reach to Find Persuadable Customers: Improving Uplift Models for Churn Prevention. Théo Verhelst, Jeevan Shrestha, Denis Mercier, Jean-Christophe Dewitte, Gianluca Bontempi |
| 2021 | Prioritization of COVID-19-Related Literature via Unsupervised Keyphrase Extraction and Document Representation Learning. Blaz Skrlj, Marko Jukic, Nika Erzen, Senja Pollak, Nada Lavrac |
| 2021 | Privacy Risk Assessment of Individual Psychometric Profiles. Giacomo Mariani, Anna Monreale, Francesca Naretto |
| 2021 | Ranking Structured Objects with Graph Neural Networks. Clemens Damke, Eyke Hüllermeier |
| 2021 | Sentiment Nowcasting During the COVID-19 Pandemic. Ioanna Miliou, John Pavlopoulos, Panagiotis Papapetrou |
| 2021 | Shapley-Value Data Valuation for Semi-supervised Learning. Christie Courtnage, Evgueni N. Smirnov |
| 2021 | Spatially-Aware Autoencoders for Detecting Contextual Anomalies in Geo-Distributed Data. Roberto Corizzo, Michelangelo Ceci, Gianvito Pio, Paolo Mignone, Nathalie Japkowicz |
| 2021 | Statistical Analysis of Pairwise Connectivity. Georg Krempl, Daniel Kottke, Tuan Pham |
| 2021 | The Case for Latent Variable Vs Deep Learning Methods in Misinformation Detection: An Application to COVID-19. Caitlin Moroney, Evan Crothers, Sudip Mittal, Anupam Joshi, Tülay Adali, Christine Mallinson, Nathalie Japkowicz, Zois Boukouvalas |
| 2021 | Unsupervised Feature Ranking via Attribute Networks. Urh Primozic, Blaz Skrlj, Saso Dzeroski, Matej Petkovic |