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Publication search results
found 48 matches
- 2023
- Massimiliano Altieri, Michelangelo Ceci, Roberto Corizzo:
Explainable Spatio-Temporal Graph Modeling. DS 2023: 174-188 - Thiago Andrade, João Gama:
Which Way to Go - Finding Frequent Trajectories Through Clustering. DS 2023: 460-473 - Giuseppina Andresini, Annalisa Appice, Roberto Gasbarro, Donato Malerba:
GLORIA: A Graph Convolutional Network-Based Approach for Review Spam Detection. DS 2023: 111-125 - Fabrizio Angiulli, Fabio Fassetti, Simona Nisticò, Luigi Palopoli:
Counterfactuals Explanations for Outliers via Subspaces Density Contrastive Loss. DS 2023: 159-173 - Chamalee Wickrama Arachchi, Nikolaj Tatti:
Jaccard-Constrained Dense Subgraph Discovery. DS 2023: 508-522 - Lukas-Malte Bammert, Stefan Kramer, Mattia Cerrato, Ernst Althaus:
Privacy-Preserving Learning of Random Forests Without Revealing the Trees. DS 2023: 372-386 - Maik Büttner, Christian Beyer, Myra Spiliopoulou:
Joining Imputation and Active Feature Acquisition for Cost Saving on Data Streams with Missing Features. DS 2023: 308-322 - Riccardo Cantini, Cristian Cosentino, Irene Kilanioti, Fabrizio Marozzo, Domenico Talia:
Unmasking COVID-19 False Information on Twitter: A Topic-Based Approach with BERT. DS 2023: 126-140 - Julien Cassagne, Ettore Merlo, Paula Branco, Guy-Vincent Jourdan, Iosif-Viorel Onut:
Unsupervised Graph Neural Networks for Source Code Similarity Detection. DS 2023: 535-549 - Yann Claes, Vân Anh Huynh-Thu, Pierre Geurts:
Knowledge-Guided Additive Modeling for Supervised Regression. DS 2023: 64-78 - Luca Corbucci, Anna Monreale, Cecilia Panigutti, Michela Natilli, Simona Smiraglio, Dino Pedreschi:
Semantic Enrichment of Explanations of AI Models for Healthcare. DS 2023: 216-229 - Isabel Coutinho, Bruno Martins:
Exploring Label Correlations for Quantification of ICD Codes. DS 2023: 614-627 - Hélder Dias, Artur Guimarães, Bruno Martins, Mathieu Roche:
Unsupervised Key-Phrase Extraction from Long Texts with Multilingual Sentence Transformers. DS 2023: 141-155 - Fernando Freitas, Pavel Brazdil, Carlos Soares:
Exploring the Reduction of Configuration Spaces of Workflows. DS 2023: 33-47 - Takayasu Fushimi, Kazuki Sakamoto:
Audience Prediction for Game Streaming Channels Based on Vectorization of User Comments. DS 2023: 81-95 - Margherita Gambini, Caterina Senette, Tiziano Fagni, Maurizio Tesconi:
From Tweets to Stance: An Unsupervised Framework for User Stance Detection on Twitter. DS 2023: 96-110 - Jean-Gabriel Gaudreault, Paula Branco:
Toward Streamlining the Evaluation of Novelty Detection in Data Streams. DS 2023: 703-717 - Joe Germino, Nuno Moniz, Nitesh V. Chawla:
Fairness-Aware Mixture of Experts with Interpretability Budgets. DS 2023: 341-355 - Alexander H. Gower, Konstantin Korovin, Daniel Brunnsåker, Ievgeniia A. Tiukova, Ross D. King:
LGEM+: A First-Order Logic Framework for Automated Improvement of Metabolic Network Models Through Abduction. DS 2023: 628-643 - Riccardo Guidotti, Cristiano Landi, Andrea Beretta, Daniele Fadda, Mirco Nanni:
Interpretable Data Partitioning Through Tree-Based Clustering Methods. DS 2023: 492-507 - Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee:
Unlearning Spurious Correlations in Chest X-Ray Classification. DS 2023: 387-397 - Jonas Hanselle, Johannes Fürnkranz, Eyke Hüllermeier:
Probabilistic Scoring Lists for Interpretable Machine Learning. DS 2023: 189-203 - Florian Kalinke, Edouard Fouché, Haiko Thiessen, Klemens Böhm:
Multi-kernel Times Series Outlier Detection. DS 2023: 688-702 - Jaka Kokosar, Martin Spendl, Blaz Zupan:
Gene Interactions in Survival Data Analysis: A Data-Driven Approach Using Restricted Mean Survival Time and Literature Mining. DS 2023: 293-307 - Filip Kronström, Alexander H. Gower, Ievgeniia A. Tiukova, Ross D. King:
RIMBO - An Ontology for Model Revision Databases. DS 2023: 523-534 - Eri Kuroda, Ichiro Kobayashi:
Predictive Inference Model of the Physical Environment that Emulates Predictive Coding. DS 2023: 431-445 - Konstantina Liagkou, John Pavlopoulos, Ewa Machotka:
Leveraging the Spatiotemporal Analysis of Meisho-e Landscapes. DS 2023: 416-430 - Mario Mallea, Ricardo Ñanculef, Mauricio Araya:
Enhancing Intra-modal Similarity in a Cross-Modal Triplet Loss. DS 2023: 249-264 - Rafael Mamede, Nuno Paiva, João Gama:
Error Analysis on Industry Data: Using Weak Segment Detection for Local Model Agnostic Prediction Intervals. DS 2023: 661-672 - Federico Mazzoni, Marta Marchiori Manerba, Martina Cinquini, Riccardo Guidotti, Salvatore Ruggieri:
GenFair: A Genetic Fairness-Enhancing Data Generation Framework. DS 2023: 356-371
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