| Vol-3928 urn:nbn:de:0074-3928-X Copyright © 2025 for the individual papers by the papers' authors. Copyright © 2025 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# DS-LB 2024
DS Late Breaking Contributions 2024

### Proceedings of the Discovery Science Late Breaking Contributions 2024 (DS-LB 2024)
co-located with 27th International Conference Discovery Science 2024 (DS 2024)

### Pisa, Italy, 14-16 October 2024.

Edited by

### Francesca Naretto 1
Roberto Pellungrini 2

1 University of Pisa, Department of Computer Science, Largo Bruno Pontecorvo 3, Pisa, Italy
2 Scuola Normale Superiore, Piazza dei Cavalieri, Pisa, Italy

## Table of Contents

- Preface
  Summary: There were 49 papers submitted for peer-review to this workshop. Out of these, 20 papers were accepted for this volume, 12 as regular papers and 8 as short papers.
- TAFT: A Transformer-Based Approach for Format Transformation
  Erik Schönwälder, Julius Gonsior, Anja Reusch, Claudio Hartmann, Wolfgang Lehner
- Integrating textual data for enhanced explanation of food crises at subnational scale
  Sarah Valentin, Edmond Menya, Roberto Interdonato Mathieu Roche, Dickson Owuor
- Network-wide shocking events through the lens of node representation shift
  Manuel Dileo, Matteo Zignani
- Personalized multiclass stress and cognitive load detection
  Jaakko Tervonen
- Asset Subsets Identification via Investment Universe Complex Network
  Mert Arda Asar, Günce Keziban Orman
- Enhancing Recommendation Systems’ Performance with Network-Oriented Negative Sampling
  Elif Ece Erdem, Günce Keziban Orman
- A Proposal for Uncovering Hidden Social Bots via Genetic Similarity
  Edoardo Allegrini, Edoardo Di Paolo, Marinella Petrocchi, Angelo Spognardi
- Multimodal Heterogeneous Transfer Learning for Multilingual Image-Text Classification
  Andrea Pedrotti, Alejandro Moreo, Fabrizio Sebastiani
- MID: A New Strategy for Learning Optimal Decision Trees on Continuous Data
  Antonio Dal Maso, Harold Kiossou, Siegfried Nijssen
- A Generative Adversarial Graph Neural Network for Synthetic Time Series Data
  Marco Gregnanin, Johannes De Smedt, Giorgio Gnecco, Maurizio Parton
- Topological degree as a discrete diagnostic for disentanglement, with applications to the ΔVAE⋆
  Mahefa Ratsisetraina Ravelonanosy, Vlado Menkovski, Jacobus W. Portegies
- Declarative Pattern Mining in Network Security
  Gioacchino Sterlicchio, Francesca Alessandra Lisi
- Graph evolution rules for node temporal behavior representation
  Alessia Galdeman, Matteo Zignani, Christian Quadri, Sabrina Gaito
- A Dataset for the Fine-tuning of LLM for the NER Task in the Cyber Security Domain
  Stefano Silvestri, Giuseppe Felice Russo, Giuseppe Tricomi, Mario Ciampi
- Dress-p.i.n.k.: an easy-to-use digital tool for Health Promotion and Community-Based Participatory Prevention of Breast Cancer
  Giada Anastasi, Daniela Gasperini, Michela Franchini, Stefania Pieroni, Francesca Denoth, Alessia Formica, Sonia Cerrai, Corrado Fizzarotti, Sabrina Molinaro
- CNP-MLDM: Contract Net Protocol for Negotiation in Machine Learning Data Market
  Hajar Baghcheband, Carlos Soares, Luis Paulo Reis
- Investigating the Hurtfulness of Misogynistic Tweets Across Professions
  Alessio Cascione, Aldo Cerulli, Marta Marchiori Manerba, Lucia C. Passaro
- Towards AI-Based Data Analytics for Environmental Monitoring
  Angelica Lo Duca, Rosa Lo Duca
- Synthesizing naturalistic visual textures with multiscale, nonlinear constraints using deep neural samplers
  Ludovica de Paolis, Paolo Muratore, Eugenio Piasini
- Residuals for Equation Discovery
  Jannis Brugger, Viktor Pfanschilling, Mira Mezini, Stefan Kramer
- FairTrader: A Method to Smoothly Control the Performance-Fairness Trade-Off
  Kiara Stempel, Stefan Kramer
- Urban Digital Twin for Territorial Management
  Gennaro Zanfardino
- Exploring Data Point Interactions: A Dual Representation Approach for Enhanced Machine Learning
  Mohamed Karim Belaid
- WAIT, I Can Explain! Introducing Weighted AI Integration for Tailored Explanations
  Claudio Giovannoni
- Intelligent Empathic Robots in Elderly Healthcare
  Alina Vozna
- Hardware acceleration for ultra-fast Neural Network training on FPGA for MRF map reconstruction
  Mattia Ricchi
- Detection of Periodical Patterns and Contextual Anomalies in Data Streams
  Alexander Hartl, Félix Iglesias Vázquez, Tanja Zseby
- Digital Twins of Natural Resources in the Loire Valley
  Félix Iglesias Vázquez, Lynh Hoang Vy Thuy, Laurence Gourcy, Agnes Grossel, Amélie De Filippis, Jean-Sébastien Moquet, Frédéric Ros
- Leveraging Time-Aware Causal Algorithmic Recourse for Promoting Fairness⋆
  Isacco Beretta, Martina Cinquini
- Effective and Transparent Attributions for Fake News Classification and Search
  Marcus Thiel, Saijal Shahania, Andreas Nürnberger
- Handling the Challenges of Microbiome Data through Supervised Autoencoders for the Non-invasive Disease Diagnosis
  Veronica Buttaro, Michelangelo Ceci, Gianvito Pio
- T-REX: A Framework to Build Trustworthy Recommenders of Evidence Explanation
  Andrea Fedele, Mattia Franchi de’ Cavalieri, Cristiano Landi, Clara Punzi, Stefano Tramacere
- L2loRe: a method for explaining the reject option
  Clara Punzi, Roberto Pellungrini, Fosca Giannotti

2025-03-04: submitted by Francesca Naretto, metadata incl. bibliographic data published under Creative Commons CC0
2025-02-23: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|