Dario Malchiodi

Research areas

• Reliability and AI systems
• Compression of machine learning models
• Learned data structures
• Data-driven induction of fuzzy sets
• Knowledge graphs and LLM-based information extraction in biomedicine
• Language models for protein and enzyme design
• Negative sample selection in biological networks and knowledge graphs
• Machine learning in human and veterinary medicine, forensic sciences and cultural heritage

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Selected publications

1. 2027

   Detecting LLM Hallucinations via Anomaly Detection on Latent Representations

   D. Malchiodi, L. Dal Mas, M. Frasca, M. W. Rivolta and I. Mazzon

   Modeling Decisions for Artificial Intelligence

   DOIBibTeX

2. 2026

   ADAZOR: Hypothesis Testing for Concept Drift Detection in Machine Learning

   A. M. Zanaboni, D. Malchiodi and A. Nasra

   Engineering Applications of Neural Networks

   DOIBibTeX

3. 2026

   Quantization-Aware Regularizers for Deep Neural Networks Compression

   D. Malchiodi, M. Ferraretto and M. Frasca

   IJCNN 2026 Proceedings. · In press

   BibTeX

4. 2026

   Compression Techniques for Membership Functions to Fuzzy Sets Learned from Data

   A. Dashti Genave, D. Malchiodi and M. Frasca

   2026 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), Pisa, Italy, 2026

   DOIBibTeX

5. 2026

   Better Negatives, Better Predictions: Negative Sample Selection Strategies for Enhancing Biomedical KG Edge Classification

   E. Cavalleri, M. Alavinezhad, M. Mesiti and D. Malchiodi

   WWW Companion '26: Companion Proceedings of the ACM Web Conference · In press

   DOIBibTeX

6. 2025

   Fine-tuning of conditional Transformers improves in silico enzyme prediction and generalization

   M. Nicolini, E. Saitto, R. E. Jimenez Franco, E. Cavalleri, A. J. Galeano Alfonso, D. Malchiodi, A. Paccanaro, P. N. Robinson, E. Casiraghi and G. Valentini

   Computational and Structural Biotechnology Journal 27

   DOIBibTeX

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Projects

• 2026–nowDRIFTWISE: Deep and Robust Inference with Fuzzy representaTions, WIth anomaly detection and model comprESSion INDACO
• 2024–nowDREAM: Mind your DRug: biobehavioral modEl towArd precision Medicine in depression FIS 2
• 2024–2026PRECOCO: Metodi di AI per diagnostica PRECOce del carcinoma squamoso del Cavo Orale basato su imaging label-free PNRR
• 2019–2021Multicriteria Data Structures and Algorithms: from compressed to learned indexes, and beyond PRIN

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