AI-optimized detector design for the future Electron-Ion Collider: the dual-radiator RICH case. - Evaristo Cisbani; Alessio Del Dotto; Cristiano Fanelli; Michael Williams; M. Alfred; Fernando Barbosa; Luca Barion; Vladimir Berdnikov; William Brooks; Tongtong Cao; Marco Contalbrigo; Samuel Danagoulian; et al. (CoRR, 2019)

Machine Learning for Imaging Cherenkov Detectors. - Cristiano Fanelli (CoRR, 2020)

DeepRICH: learning deeply Cherenkov detectors. - Cristiano Fanelli; Jary Pomponi (Mach. Learn. Sci. Technol., 2020)

Artificial Intelligence and Machine Learning in Nuclear Physics. - Amber Boehnlein; Markus Diefenthaler; Cristiano Fanelli; Morten Hjorth-Jensen; Tanja Horn; Michelle P. Kuchera; Dean Lee; Witold Nazarewicz; Kostas Orginos; Peter Ostroumov; Long-Gang Pang; Alan W. P. Poon; et al. (CoRR, 2021)

Design of Detectors at the Electron Ion Collider with Artificial Intelligence. - Cristiano Fanelli (CoRR, 2022)

Artificial Intelligence for Imaging Cherenkov Detectors at the EIC. - Cristiano Fanelli; A. Mahmood (CoRR, 2022)

AI-assisted Optimization of the ECCE Tracking System at the Electron Ion Collider. - Cristiano Fanelli; Z. Papandreou; K. Suresh; J. K. Adkins; Y. Akiba; A. Albataineh; M. Amaryan; I. C. Arsene; C. Ayerbe Gayoso; J. Bae; X. Bai; M. D. Baker; et al. (CoRR, 2022)

'Flux+Mutability': a conditional generative approach to one-class classification and anomaly detection. - Cristiano Fanelli; James Giroux; Z. Papandreou (Mach. Learn. Sci. Technol., 2022)

Artificial Intelligence for the Electron Ion Collider (AI4EIC). - C. Allaire; R. Ammendola; E.-C. Aschenauer; M. Balandat; Marco Battaglieri; J. C. Bernauer; M. Bondì; N. Branson; Thomas Britton; Anja Butter; I. Chahrour; P. Chatagnon; et al. (CoRR, 2023)

Towards a RAG-based Summarization Agent for the Electron-Ion Collider. - Karthik Suresh 004; Neeltje Kackar; Luke Schleck; Cristiano Fanelli (CoRR, 2024)

Physics Event Classification Using Large Language Models. - Cristiano Fanelli; James Giroux; Patrick Moran; Hemalata Nayak; Karthik Suresh 004; Eric Walter (CoRR, 2024)

AI-Assisted Detector Design for the EIC (AID(2)E). - Markus Diefenthaler; Cristiano Fanelli; L. O. Gerlach; Wen Guan; Tanja Horn; A. Jentsch; M. Lin; K. Nagai; Hemalata Nayak; C. Pecar; Karthik Suresh 004; Anselm Vossen; et al. (CoRR, 2024)

Unmasking Social Bots: How Confident Are We? - James Giroux; Ariyarathne Gangani; Alexander C. Nwala; Cristiano Fanelli (CoRR, 2024)

ELUQuant: event-level uncertainty quantification in deep inelastic scattering. - Cristiano Fanelli; James Giroux (Mach. Learn. Sci. Technol., 2024)

Artificial Intelligence for the Electron Ion Collider (AI4EIC). - C. Allaire; R. Ammendola; E.-C. Aschenauer; M. Balandat; Marco Battaglieri; J. C. Bernauer; M. Bondì; N. Branson; T. Britton; Anja Butter; I. Chahrour; P. Chatagnon; et al. (Comput. Softw. Big Sci., 2024)

Deep(er) reconstruction of imaging Cherenkov detectors with swin transformers and normalizing flow models. - Cristiano Fanelli; James Giroux; Justin R. Stevens (Mach. Learn. Sci. Technol., 2025)

Uncertainty quantification with Bayesian higher order ReLU-KANs. - James Giroux; Cristiano Fanelli (Mach. Learn. Sci. Technol., 2025)

Generative Models for Fast Simulation of Cherenkov Detectors at the Electron-Ion Collider. - James Giroux; Michael Martinez; Cristiano Fanelli (CoRR, 2025)

Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data. - James Giroux; Cristiano Fanelli (CoRR, 2025)

Unmasking social bots: how confident are we? - James Giroux; Gangani Ariyarathne; Alexander C. Nwala; Cristiano Fanelli (EPJ Data Sci., 2025)