- 2021
- Mehrnaz Amjadi, Seyed Danial Mohseni Taheri, Theja Tulabandhula:
KATRec: Knowledge Aware aTtentive Sequential Recommendations. DS 2021: 305-320 - Giuseppina Andresini, Annalisa Appice, Corrado Loglisci, Vincenzo Belvedere, Domenico Redavid, Donato Malerba:
A Network Intrusion Detection System for Concept Drifting Network Traffic Data. DS 2021: 111-121 - Fabrizio Angiulli, Fabio Fassetti, Simona Nisticò:
Local Interpretable Classifier Explanations with Self-generated Semantic Features. DS 2021: 401-410 - Maroua Bahri, Albert Bifet:
Incremental k-Nearest Neighbors Using Reservoir Sampling for Data Streams. DS 2021: 122-137 - Colin Bellinger, Roberto Corizzo, Nathalie Japkowicz:
Calibrated Resampling for Imbalanced and Long-Tails in Deep Learning. DS 2021: 242-252 - Valerio Bonsignori, Riccardo Guidotti, Anna Monreale:
Deriving a Single Interpretable Model by Merging Tree-Based Classifiers. DS 2021: 347-357 - Florian Busch, Moritz Kulessa, Eneldo Loza Mencía, Hendrik Blockeel:
Combining Predictions Under Uncertainty: The Case of Random Decision Trees. DS 2021: 78-93 - Bart Bussmann, Jannes Nys, Steven Latré:
Neural Additive Vector Autoregression Models for Causal Discovery in Time Series. DS 2021: 446-460 - Francesco Paolo Caforio, Giuseppina Andresini, Gennaro Vessio, Annalisa Appice, Donato Malerba:
Leveraging Grad-CAM to Improve the Accuracy of Network Intrusion Detection Systems. DS 2021: 385-400 - Roberto Corizzo, Michelangelo Ceci, Gianvito Pio, Paolo Mignone, Nathalie Japkowicz:
Spatially-Aware Autoencoders for Detecting Contextual Anomalies in Geo-Distributed Data. DS 2021: 461-471 - Christie Courtnage, Evgueni N. Smirnov:
Shapley-Value Data Valuation for Semi-supervised Learning. DS 2021: 94-108 - João Coutinho-Almeida, Pedro Pereira Rodrigues, Ricardo João Cruz Correia:
GANs for Tabular Healthcare Data Generation: A Review on Utility and Privacy. DS 2021: 282-291 - Clemens Damke, Eyke Hüllermeier:
Ranking Structured Objects with Graph Neural Networks. DS 2021: 166-180 - Aïssatou Diallo, Johannes Fürnkranz:
Elliptical Ordinal Embedding. DS 2021: 323-333 - Haimonti Dutta, Saurabh Amarnath Mahindre, Nitin Nataraj:
Consensus Based Vertically Partitioned Multi-layer Perceptrons for Edge Computing. DS 2021: 253-267 - Tarek Elsaka, Imad Afyouni, Ibrahim Abaker Targio Hashem, Zaher Al Aghbari:
Multi-scale Sentiment Analysis of Location-Enriched COVID-19 Arabic Social Data. DS 2021: 194-203 - Jean-Gabriel Gaudreault, Paula Branco, João Gama:
An Analysis of Performance Metrics for Imbalanced Classification. DS 2021: 67-77 - Alireza Gharahighehi, Celine Vens, Konstantinos Pliakos:
An Ensemble Hypergraph Learning Framework for Recommendation. DS 2021: 295-304 - Riccardo Guidotti, Salvatore Ruggieri:
Ensemble of Counterfactual Explainers. DS 2021: 358-368 - Dan Hudson, Travis J. Wiltshire, Martin Atzmueller:
Local Exceptionality Detection in Time Series Using Subgroup Discovery: An Approach Exemplified on Team Interaction Data. DS 2021: 435-445 - Aman Jaiswal, Harpreet Singh Sodhi, Mohamed Muzamil H, Rajveen Singh Chandhok, Sageev Oore, Chandramouli Shama Sastry:
Controlling BigGAN Image Generation with a Segmentation Network. DS 2021: 268-281 - Kazuki Kawamura, Akihiro Yamamoto:
HTML-LSTM: Information Extraction from HTML Tables in Web Pages Using Tree-Structured LSTM. DS 2021: 29-43 - Georg Krempl, Daniel Kottke, Tuan Pham:
Statistical Analysis of Pairwise Connectivity. DS 2021: 138-148 - Yueyang Liu, Zois Boukouvalas, Nathalie Japkowicz:
A Semi-supervised Framework for Misinformation Detection. DS 2021: 57-66 - Jimmy Ljungman, Vanessa Lislevand, John Pavlopoulos, Alexandra Farazouli, Zed Lee, Panagiotis Papapetrou, Uno Fors:
Automated Grading of Exam Responses: An Extensive Classification Benchmark. DS 2021: 3-18 - Jinghui Lu, Maeve Henchion, Ivan Bacher, Brian Mac Namee:
A Sentence-Level Hierarchical BERT Model for Document Classification with Limited Labelled Data. DS 2021: 231-241 - Giacomo Mariani, Anna Monreale, Francesca Naretto:
Privacy Risk Assessment of Individual Psychometric Profiles. DS 2021: 411-421 - Ioanna Miliou, John Pavlopoulos, Panagiotis Papapetrou:
Sentiment Nowcasting During the COVID-19 Pandemic. DS 2021: 218-228 - Caitlin Moroney, Evan Crothers, Sudip Mittal, Anupam Joshi, Tülay Adali, Christine Mallinson, Nathalie Japkowicz, Zois Boukouvalas:
The Case for Latent Variable Vs Deep Learning Methods in Misinformation Detection: An Application to COVID-19. DS 2021: 422-432 - Aleksandar Novakovic, Adele H. Marshall, Carolyn McGregor:
Knowledge Discovery of the Delays Experienced in Reporting COVID-19 Confirmed Positive Cases Using Time to Event Models. DS 2021: 183-193