Abstract is missing.
- Exploiting Large Language Models for Enhanced Review Classification Explanations Through Interpretable and Multidimensional AnalysisCristian Cosentino, Merve Gündüz-Cüre, Fabrizio Marozzo, Sule Öztürk-Birim. 3-18 [doi]
- Large Language Models-Based Local Explanations of Text ClassifiersFabrizio Angiulli, Francesco De Luca, Fabio Fassetti, Simona Nisticó. 19-35 [doi]
- Evaluating the Reliability of Self-explanations in Large Language ModelsKorbinian Randl, John Pavlopoulos, Aron Henriksson, Tony Lindgren. 36-51 [doi]
- Are Large Language Models Really Bias-Free? Jailbreak Prompts for Assessing Adversarial Robustness to Bias ElicitationRiccardo Cantini, Giada Cosenza, Alessio Orsino, Domenico Talia. 52-68 [doi]
- Play it Straight: An Intelligent Data Pruning Technique for Green-AIFrancesco Scala, Sergio Flesca, Luigi Pontieri. 69-85 [doi]
- Evaluation of Geographical Distortions in Language ModelsRémy Decoupes, Roberto Interdonato, Mathieu Roche, Maguelonne Teisseire, Sarah Valentin. 86-100 [doi]
- AutoML-Guided Fusion of Entity and LLM-Based Representations for Document ClassificationBoshko Koloski, Senja Pollak, Roberto Navigli, Blaz Skrlj. 101-115 [doi]
- Open-Set Named Entity Recognition: A Preliminary StudyAngelo Impedovo, Giuseppe Rizzo 0001, Antonio Di Mauro. 116-131 [doi]
- Forecasting with Deep Learning: Beyond Average of Average of Average PerformanceVítor Cerqueira, Luis Roque, Carlos Soares. 135-149 [doi]
- Multivariate Asynchronous Shapelets for Imbalanced Car Crash PredictionsMario Bianchi, Francesco Spinnato, Riccardo Guidotti, Daniele Maccagnola, Antonio Bencini Farina. 150-166 [doi]
- Soft Hoeffding Tree: A Transparent and Differentiable Model on Data StreamsKirsten Köbschall, Lisa Hartung, Stefan Kramer 0001. 167-182 [doi]
- Meta-learning Loss Functions of Parametric Partial Differential Equations Using Physics-Informed Neural NetworksMichail Koumpanakis, Ricardo Vilalta. 183-197 [doi]
- VADA: A Data-Driven Simulator for Nanopore SequencingJonas Niederle, Simon M. Koop, Marc Pagès-Gallego, Vlado Menkovski. 198-210 [doi]
- Differential Equation Discovery of Robotic Swarm as Active MatterRoman V. Titov, Alexander Hvatov. 213-228 [doi]
- Science-Gym: A Simple Testbed for AI-Driven Scientific DiscoveryMattia Cerrato, Nicholas Schmitt, Lennart Baur, Edward Finkelstein, Selina Jukic, Lars Münzel, Felix Peter Paul, Pascal Pfannes, Benedikt Rohr, Julius Schellenberg, Philipp Wolf, Stefan Kramer 0001. 229-243 [doi]
- Latent Embedding Based on a Transcription-Decay Decomposition of mRNA Dynamics Using Self-supervised CoxPHMartin Spendl, Tomaz Curk, Blaz Zupan. 244-259 [doi]
- Social Isolation, Digital Connection: COVID-19's Impact on Twitter Ego NetworksKamer Cekini, Elisabetta Biondi, Chiara Boldrini, Andrea Passarella, Marco Conti. 260-274 [doi]
- SwitchPath: Enhancing Exploration in Neural Networks Learning DynamicsAntonio Di Cecco, Andrea Papini, Carlo Metta, Marco Fantozzi, Silvia Giulia Galfrè, Francesco Morandin, Maurizio Parton. 275-291 [doi]
- Analyzing Explanations of Deep Graph Networks Through Node Centrality and ConnectivityMichele Fontanesi, Alessio Micheli, Marco Podda, Domenico Tortorella. 295-309 [doi]
- Interpretable Graph Neural Networks for Heterogeneous Tabular DataAmr Alkhatib, Henrik Boström. 310-324 [doi]
- A Systematization of the Wagner Framework: Graph Theory Conjectures and Reinforcement LearningFlora Angileri, Giulia Lombardi, Andrea Fois, Renato Faraone, Carlo Metta, Michele Salvi, Luigi Amedeo Bianchi, Marco Fantozzi, Silvia Giulia Galfrè, Daniele Pavesi, Maurizio Parton, Francesco Morandin. 325-338 [doi]
- Utility vs Usability: Towards a Search for Balance in Subgroup Discovery ProblemsReynald Eugenie, Erick Stattner. 339-353 [doi]
- Revisiting Silhouette AggregationJohn Pavlopoulos, Georgios Vardakas, Aristidis Likas. 354-368 [doi]
- Combining SHAP-Driven Co-clustering and Shallow Decision Trees to Explain XGBoostRuggero G. Pensa, Anton Crombach, Sergio Peignier, Christophe Rigotti. 369-384 [doi]
- Fast and Understandable Nonlinear Supervised Dimensionality ReductionAnri Patron, Rafael Savvides, Lauri Franzon, Hoang Phuc Hau Luu, Kai Puolamäki. 385-400 [doi]
- MORE-PLR: Multi-Output Regression Employed for Partial Label RankingSanto M. A. R. Thies, Juan C. Alfaro, Viktor Bengs. 401-416 [doi]