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ORCID27th DS 2024 - Part I: Pisa, Italy
- Dino Pedreschi
, Anna Monreale, Riccardo Guidotti, Roberto Pellungrini, Francesca Naretto:
Discovery Science - 27th International Conference, DS 2024, Pisa, Italy, October 14-16, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15243, Springer 2025, ISBN 978-3-031-78976-2
LLM, Text Analytics, and Ethical Aspects of AI
- Cristian Cosentino, Merve Gündüz-Cüre, Fabrizio Marozzo, Sule Öztürk-Birim:
Exploiting Large Language Models for Enhanced Review Classification Explanations Through Interpretable and Multidimensional Analysis. 3-18 - Fabrizio Angiulli, Francesco De Luca, Fabio Fassetti, Simona Nisticó:
Large Language Models-Based Local Explanations of Text Classifiers. 19-35 - Korbinian Randl, John Pavlopoulos, Aron Henriksson, Tony Lindgren:
Evaluating the Reliability of Self-explanations in Large Language Models. 36-51 - Riccardo Cantini, Giada Cosenza, Alessio Orsino, Domenico Talia:
Are Large Language Models Really Bias-Free? Jailbreak Prompts for Assessing Adversarial Robustness to Bias Elicitation. 52-68 - Francesco Scala, Sergio Flesca, Luigi Pontieri:
Play it Straight: An Intelligent Data Pruning Technique for Green-AI. 69-85 - Rémy Decoupes, Roberto Interdonato, Mathieu Roche, Maguelonne Teisseire, Sarah Valentin:
Evaluation of Geographical Distortions in Language Models. 86-100 - Boshko Koloski, Senja Pollak, Roberto Navigli, Blaz Skrlj:
AutoML-Guided Fusion of Entity and LLM-Based Representations for Document Classification. 101-115 - Angelo Impedovo, Giuseppe Rizzo, Antonio Di Mauro:
Open-Set Named Entity Recognition: A Preliminary Study. 116-131
Natural Language Processing, Sequential Data and Science Discovery
- Vítor Cerqueira, Luis Roque, Carlos Soares:
Forecasting with Deep Learning: Beyond Average of Average of Average Performance. 135-149 - Mario Bianchi, Francesco Spinnato, Riccardo Guidotti, Daniele Maccagnola, Antonio Bencini Farina:
Multivariate Asynchronous Shapelets for Imbalanced Car Crash Predictions. 150-166 - Kirsten Köbschall, Lisa Hartung, Stefan Kramer:
Soft Hoeffding Tree: A Transparent and Differentiable Model on Data Streams. 167-182 - Michail Koumpanakis, Ricardo Vilalta:
Meta-learning Loss Functions of Parametric Partial Differential Equations Using Physics-Informed Neural Networks. 183-197 - Jonas Niederle, Simon M. Koop, Marc Pagès-Gallego, Vlado Menkovski:
VADA: A Data-Driven Simulator for Nanopore Sequencing. 198-210
Data-Driven Science Discovery Methodologies
- Roman V. Titov, Alexander Hvatov:
Differential Equation Discovery of Robotic Swarm as Active Matter. 213-228 - Mattia Cerrato, Nicholas Schmitt, Lennart Baur, Edward Finkelstein, Selina Jukic, Lars Münzel, Felix Peter Paul, Pascal Pfannes, Benedikt Rohr, Julius Schellenberg, Philipp Wolf, Stefan Kramer:
Science-Gym: A Simple Testbed for AI-Driven Scientific Discovery. 229-243 - Martin Spendl, Tomaz Curk, Blaz Zupan:
Latent Embedding Based on a Transcription-Decay Decomposition of mRNA Dynamics Using Self-supervised CoxPH. 244-259 - Kamer Cekini, Elisabetta Biondi, Chiara Boldrini, Andrea Passarella, Marco Conti:
Social Isolation, Digital Connection: COVID-19's Impact on Twitter Ego Networks. 260-274 - Antonio Di Cecco, Andrea Papini, Carlo Metta, Marco Fantozzi, Silvia Giulia Galfrè, Francesco Morandin, Maurizio Parton:
SwitchPath: Enhancing Exploration in Neural Networks Learning Dynamics. 275-291
Graph Neural Network, Graph Theory, Unsupervised Learning and Regression
- Michele Fontanesi, Alessio Micheli, Marco Podda, Domenico Tortorella:
Analyzing Explanations of Deep Graph Networks Through Node Centrality and Connectivity. 295-309 - Amr Alkhatib, Henrik Boström:
Interpretable Graph Neural Networks for Heterogeneous Tabular Data. 310-324 - Flora 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:
A Systematization of the Wagner Framework: Graph Theory Conjectures and Reinforcement Learning. 325-338 - Reynald Eugenie, Erick Stattner:
Utility vs Usability: Towards a Search for Balance in Subgroup Discovery Problems. 339-353 - John Pavlopoulos, Georgios Vardakas, Aristidis Likas:
Revisiting Silhouette Aggregation. 354-368 - Ruggero G. Pensa, Anton Crombach, Sergio Peignier, Christophe Rigotti:
Combining SHAP-Driven Co-clustering and Shallow Decision Trees to Explain XGBoost. 369-384 - Anri Patron, Rafael Savvides, Lauri Franzon, Hoang Phuc Hau Luu, Kai Puolamäki:
Fast and Understandable Nonlinear Supervised Dimensionality Reduction. 385-400 - Santo M. A. R. Thies, Juan C. Alfaro, Viktor Bengs:
MORE-PLR: Multi-Output Regression Employed for Partial Label Ranking. 401-416
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