Cyber Threat Analysis with Structured Probabilistic Argumentation. - Mario A. Leiva; Gerardo I. Simari; Guillermo Ricardo Simari; Paulo Shakarian (AI³@AI*IA, 2019)

DAQAP: Defeasible Argumentation Query Answering Platform. - Mario A. Leiva; Gerardo I. Simari; Sebastian Gottifredi; Alejandro Javier García; Guillermo Ricardo Simari (FQAS, 2019)

Towards Effective and Efficient Approximate Query Answering in Probabilistic DeLP (short paper). - Mario A. Leiva; Gerardo I. Simari; Alejandro Garcia (AI³@AI*IA, 2020)

Guidelines for the Analysis and Design of Argumentation-Based Recommendation Systems. - Mario A. Leiva; Maximiliano Celmo David Budán; Gerardo I. Simari (IEEE Intell. Syst., 2020)

Argumentation-Based Query Answering under Uncertainty with Application to Cybersecurity. - Mario A. Leiva; Alejandro Javier García; Paulo Shakarian; Gerardo I. Simari (Big Data Cogn. Comput., 2022)

Efficient and Effective Approximate Query Answering in Probabilistic DeLP (Thesis Summary). - Mario A. Leiva (AI³@AI*IA, 2023)

Machine Learning-driven Immersive Scenarios Classification and Generation for Virtual Reality. - Mario A. Leiva; Fiorella Cravero; Matias Nicolás Selzer (CLEI, 2024)

Are UFOs Driving Innovation? The Illusion of Causality in Large Language Models. - María Victoria Carro; Francisca Gauna Selasco; Denise Alejandra Mester; Mario A. Leiva (CoRR, 2024)

Do Large Language Models Show Biases in Causal Learning? - María Victoria Carro; Francisca Gauna Selasco; Denise Alejandra Mester; Margarita Gonzales; Mario A. Leiva; Maria Vanina Martinez; Gerardo I. Simari (CoRR, 2024)

Multiple Distribution Shift - Aerial (MDS-A): A Dataset for Test-Time Error Detection and Model Adaptation. - Noel Ngu; Aditya Taparia; Gerardo I. Simari; Mario A. Leiva; Ransalu Senanayake; Paulo Shakarian; Nathaniel D. Bastian; John Corcoran (AAAI Spring Symposia, 2025)

Multiple Distribution Shift - Aerial (MDS-A): A Dataset for Test-Time Error Detection and Model Adaptation. - Noel Ngu; Aditya Taparia; Gerardo I. Simari; Mario A. Leiva; Jack Corcoran; Ransalu Senanayake; Paulo Shakarian; Nathaniel D. Bastian (CoRR, 2025)

VLC Fusion: Vision-Language Conditioned Sensor Fusion for Robust Object Detection. - Aditya Taparia; Noel Ngu; Mario A. Leiva; Joshua Shay Kricheli; John Corcoran; Nathaniel D. Bastian; Gerardo I. Simari; Paulo Shakarian; Ransalu Senanayake (CoRR, 2025)

Consistency-based Abductive Reasoning over Perceptual Errors of Multiple Pre-trained Models in Novel Environments. - Mario A. Leiva; Noel Ngu; Joshua Shay Kricheli; Aditya Taparia; Ransalu Senanayake; Paulo Shakarian; Nathaniel D. Bastian; Jack Corcoran; Gerardo I. Simari (CoRR, 2025)

Machine Learning Model Integration with Open World Temporal Logic for Process Automation. - Dyuman Aditya; Colton Payne; Mario A. Leiva; Paulo Shakarian (CoRR, 2025)

A Conceptual Framework for AI Capability Evaluations. - María Victoria Carro; Denise Alejandra Mester; Francisca Gauna Selasco; Luca Nicolás Forziati Gangi; Matheo Sandleris Musa; Lola Ramos Pereyra; Mario A. Leiva; Juan Gustavo Corvalan; Maria Vanina Martinez; Gerardo I. Simari (CoRR, 2025)

Error Detection and Correction for Interpretable Mathematics in Large Language Models. - Yijin Yang; Cristina Cornelio; Mario A. Leiva; Paulo Shakarian (CoRR, 2025)