Multiple Object Tracking with Relations. - Luca Cattelani; Cristina E. Manfredotti; Enza Messina (ICPRAM (1), 2012)

LPAD-based Fall Risk Assessment. - Luca Cattelani; Pierpaolo Palumbo; Federico Chesani; Luca Palmerini; Lorenzo Chiari (PAI@AI*IA, 2013)

FRAT-Up, a Rule-Based System Evaluating Fall Risk in the Elderly. - Luca Cattelani; Federico Chesani; Pierpaolo Palumbo; Luca Palmerini; Stefania Bandinelli; Clemens Becker; Lorenzo Chiari (CBMS, 2014)

A Particle Filtering Approach for Tracking an Unknown Number of Objects with Dynamic Relations. - Luca Cattelani; Cristina E. Manfredotti; Enza Messina (J. Math. Model. Algorithms Oper. Res., 2014)

User Experience (UX) of the Fall Risk Assessment Tool (FRAT-up). - Ather Nawaz; Jorunn Lægdheim Helbostad; Lorenzo Chiari; Federico Chesani; Luca Cattelani (CBMS, 2015)

Prediction of Decline in Activities of Daily Living Through Deep Artificial Neural Networks and Domain Adaptation. - Lorenzo Donati; Daniele Fongo; Luca Cattelani; Federico Chesani (AI*IA, 2019)

Risk Prediction Model for Late Life Depression: Development and Validation on Three Large European Datasets. - Luca Cattelani; Martino Belvederi Murri; Federico Chesani; Lorenzo Chiari; Stefania Bandinelli; Pierpaolo Palumbo (IEEE J. Biomed. Health Informatics, 2019)

A Recommender System for Behavioral Change in 60-70-year-old Adults. - Pierpaolo Palumbo; Luca Cattelani; Federica Fusco; Mirjam Pijnappels; Lorenzo Chiari; Federico Chesani; Sabato Mellone (AIxAS@AI*IA, 2020)

A rule-based framework for risk assessment in the health domain. - Luca Cattelani; Federico Chesani; Luca Palmerini; Pierpaolo Palumbo; Lorenzo Chiari; Stefania Bandinelli (Int. J. Approx. Reason., 2020)

Computationally prioritized drugs inhibit SARS-CoV-2 infection and syncytia formation. - Angela Serra; Michele Fratello; Antonio Federico; Ravi Ojha; Riccardo Provenzani; Ervin Tasnádi; Luca Cattelani; Giusy del Giudice; Pia Anneli Sofia Kinaret; Laura Aliisa Saarimäki; Alisa Pavel; Suvi Kuivanen; et al. (Briefings Bioinform., 2022)

Improved NSGA-II algorithms for multi-objective biomarker discovery. - Luca Cattelani; Vittorio Fortino (Bioinform., 2022)

DOSA-MO: Dual-stage Optimizer for Systematic overestimation Adjustment in Multi-Objective problems improves biomarker discovery. - Luca Cattelani; Vittorio Fortino (CoRR, 2023)

Dual-stage optimizer for systematic overestimation adjustment applied to multi-objective genetic algorithms for biomarker selection. - Luca Cattelani; Vittorio Fortino (Briefings Bioinform., 2024)

Triple and quadruple optimization for feature selection in cancer biomarker discovery. - Luca Cattelani; Vittorio Fortino (J. Biomed. Informatics, 2024)

A Comprehensive Evaluation Framework for Benchmarking Multi-Objective Feature Selection in Omics-Based Biomarker Discovery. - Luca Cattelani; Arindam Ghosh; Teemu J. Rintala; Vittorio Fortino (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)