DS

Keyphrases

Publications

2023

Lukas-Malte Bammert, Stefan Kramer, Mattia Cerrato, Ernst Althaus
Privacy-Preserving Learning of Random Forests Without Revealing the Trees. DS (2023)
Francesca Naretto, Roberto Pellungrini, Salvatore Rinzivillo, Daniele Fadda
EXPHLOT: EXplainable Privacy Assessment for Human LOcation Trajectories. DS (2023)
Thiago Andrade, João Gama
Which Way to Go - Finding Frequent Trajectories Through Clustering. DS (2023)
Misgina Tsighe Hagos, Kathleen M. Curran, Brian Mac Namee
Unlearning Spurious Correlations in Chest X-Ray Classification. DS (2023)
Giuseppina Andresini, Annalisa Appice, Roberto Gasbarro, Donato Malerba
GLORIA: A Graph Convolutional Network-Based Approach for Review Spam Detection. DS (2023)
Adriane B. S. Serapião, Zahra Donyavi, Gustavo Batista
Ensembles of Classifiers and Quantifiers with Data Fusion for Quantification Learning. DS (2023)
John Pavlopoulos, Maria Konstantinidou, Georgios Vardakas, Isabelle Marthot-Santaniello, Elpida Perdiki, Dimitris Koutsianos, Aristidis Likas, Holger Essler
Explaining the Chronological Attribution of Greek Papyri Images. DS (2023)
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)
Alexander H. Gower, Konstantin Korovin, Daniel Brunnsåker, Ievgeniia A. Tiukova, Ross D. King
: A First-Order Logic Framework for Automated Improvement of Metabolic Network Models Through Abduction. DS (2023)
Maik Büttner, Christian Beyer, Myra Spiliopoulou
Joining Imputation and Active Feature Acquisition for Cost Saving on Data Streams with Missing Features. DS (2023)
Joe Germino, Nuno Moniz, Nitesh V. Chawla
Fairness-Aware Mixture of Experts with Interpretability Budgets. DS (2023)
Yuxuan Wang, Ross D. King
Extrapolation is Not the Same as Interpolation. DS (2023)
Dennis Slepov, Arunas Kalinauskas, Hadi Fanaee-T
A Universal Approach for Post-correcting Time Series Forecasts: Reducing Long-Term Errors in Multistep Scenarios. DS (2023)
Federico Mazzoni, Marta Marchiori Manerba, Martina Cinquini, Riccardo Guidotti, Salvatore Ruggieri
GenFair: A Genetic Fairness-Enhancing Data Generation Framework. DS (2023)
Fernando Freitas, Pavel Brazdil, Carlos Soares
Exploring the Reduction of Configuration Spaces of Workflows. DS (2023)
Rafael Mamede, Nuno Paiva, João Gama
Error Analysis on Industry Data: Using Weak Segment Detection for Local Model Agnostic Prediction Intervals. DS (2023)
Chamalee Wickrama Arachchi, Nikolaj Tatti
Jaccard-Constrained Dense Subgraph Discovery. DS (2023)
Paul K. Mvula, Paula Branco, Guy-Vincent Jourdan, Herna L. Viktor
HEART: Heterogeneous Log Anomaly Detection Using Robust Transformers. DS (2023)
Margherita Gambini, Caterina Senette, Tiziano Fagni, Maurizio Tesconi
From Tweets to Stance: An Unsupervised Framework for User Stance Detection on Twitter. DS (2023)
Konstantina Liagkou, John Pavlopoulos, Ewa Machotka
Leveraging the Spatiotemporal Analysis of Meisho-e Landscapes. DS (2023)
Jonas Hanselle, Johannes Fürnkranz, Eyke Hüllermeier
Probabilistic Scoring Lists for Interpretable Machine Learning. DS (2023)
Luca Corbucci, Anna Monreale, Cecilia Panigutti, Michela Natilli, Simona Smiraglio, Dino Pedreschi
Semantic Enrichment of Explanations of AI Models for Healthcare. DS (2023)
Aljaz Osojnik, Pance Panov, Saso Dzeroski
iSOUP-SymRF: Symbolic Feature Ranking with Random Forests in Online Multi-target Regression. DS (2023)
Julien Cassagne, Ettore Merlo, Paula Branco, Guy-Vincent Jourdan, Iosif-Viorel Onut
Unsupervised Graph Neural Networks for Source Code Similarity Detection. DS (2023)
Domen Soberl, Ivan Bratko
Transferring a Learned Qualitative Cart-Pole Control Model to Uneven Terrains. DS (2023)
Jean-Gabriel Gaudreault, Paula Branco
Toward Streamlining the Evaluation of Novelty Detection in Data Streams. DS (2023)
Yann Claes, Vân Anh Huynh-Thu, Pierre Geurts
Knowledge-Guided Additive Modeling for Supervised Regression. DS (2023)
Mattia Poggioli, Francesco Spinnato, Riccardo Guidotti
Text to Time Series Representations: Towards Interpretable Predictive Models. DS (2023)
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)
Chetraj Pandey, Rafal A. Angryk, Manolis K. Georgoulis, Berkay Aydin
Explainable Deep Learning-Based Solar Flare Prediction with Post Hoc Attention for Operational Forecasting. DS (2023)
Massimiliano Altieri, Michelangelo Ceci, Roberto Corizzo
Explainable Spatio-Temporal Graph Modeling. DS (2023)
Athos Moraes, Marta Moreno, Rogério Ribeiro, Pedro G. Ferreira
Predicting Age from Human Lung Tissue Through Multi-modal Data Integration. DS (2023)
Eri Kuroda, Ichiro Kobayashi
Predictive Inference Model of the Physical Environment that Emulates Predictive Coding. DS (2023)
Florian Kalinke, Edouard Fouché, Haiko Thiessen, Klemens Böhm
Multi-kernel Times Series Outlier Detection. DS (2023)
Yuta Sumiya, Ryusei Numata, Satoshi Takahashi
Pseudo Session-Based Recommendation with Hierarchical Embedding and Session Attributes. DS (2023)
Pavlin G. Policar, Blaz Zupan
Refining Temporal Visualizations Using the Directional Coherence Loss. DS (2023)
Mario Mallea, Ricardo Ñanculef, Mauricio Araya
Enhancing Intra-modal Similarity in a Cross-Modal Triplet Loss. DS (2023)
Christoph Sandrock, Marek Herde, Daniel Kottke, Bernhard Sick
Exploring the Potential of Optimal Active Learning via a Non-myopic Oracle Policy. DS (2023)
Isabel Coutinho, Bruno Martins
Exploring Label Correlations for Quantification of ICD Codes. DS (2023)
Fabrizio Angiulli, Fabio Fassetti, Simona Nisticò, Luigi Palopoli
Counterfactuals Explanations for Outliers via Subspaces Density Contrastive Loss. DS (2023)
Takayasu Fushimi, Kazuki Sakamoto
Audience Prediction for Game Streaming Channels Based on Vectorization of User Comments. DS (2023)
Filip Kronström, Alexander H. Gower, Ievgeniia A. Tiukova, Ross D. King
RIMBO - An Ontology for Model Revision Databases. DS (2023)
Hélder Dias, Artur Guimarães, Bruno Martins, Mathieu Roche
Unsupervised Key-Phrase Extraction from Long Texts with Multilingual Sentence Transformers. DS (2023)
Yiping Tang, Kohei Hatano, Eiji Takimoto
Boosting-Based Construction of BDDs for Linear Threshold Functions and Its Application to Verification of Neural Networks. DS (2023)
Albrecht Zimmermann
Chance and the Predictive Limit in Basketball (Both College and Professional). DS (2023)
Rafael Teixeira, Mário Antunes, Rúben Sobral, João Martins, Diogo Gomes, Rui L. Aguiar
Exploring the Intricacies of Neural Network Optimization. DS (2023)
Riccardo Guidotti, Cristiano Landi, Andrea Beretta, Daniele Fadda, Mirco Nanni
Interpretable Data Partitioning Through Tree-Based Clustering Methods. DS (2023)

volume 14276, 2023

Discovery Science - 26th International Conference, DS 2023, Porto, Portugal, October 9-11, 2023, Proceedings DS 14276 (2023)

2022

Phuong Huynh Van Quoc, Florian Beck, Johannes Fürnkranz
Incremental Update of Locally Optimal Classification Rules. DS (2022)

volume 13601, 2022

Discovery Science - 25th International Conference, DS 2022, Montpellier, France, October 10-12, 2022, Proceedings DS 13601 (2022)