DS-LB 2024
DS Late Breaking Contributions 2024

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