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

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

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

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

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

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

Deep(er) Reconstruction of Imaging Cherenkov Detectors with Swin Transformers and Normalizing Flow Models. - Fanelli, Cristiano; Giroux, James; Stevens, Justin (CoRR, 2024)

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

Uncertainty Quantification with Bayesian Higher Order ReLU KANs. - Giroux, James; Fanelli, Cristiano (CoRR, 2024)

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

ELUQuant: Event-Level Uncertainty Quantification in Deep Inelastic Scattering. - Fanelli, Cristiano; Giroux, James (CoRR, 2023)

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

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

"Flux+Mutability": A Conditional Generative Approach to One-Class Classification and Anomaly Detection. - Fanelli, Cristiano; Giroux, James; Papandreou, Z. (CoRR, 2022)

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

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

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

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

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

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

DeepRICH: Learning Deeply Cherenkov Detectors. - Fanelli, Cristiano; Pomponi, Jary (CoRR, 2019)