Explaining Black Box Reinforcement Learning Agents Through Counterfactual Policies. - Maria Movin; Guilherme Dinis Junior; Jaakko Hollmén; Panagiotis Papapetrou (IDA, 2023)

An End-to-End Workflow using Topic Segmentation and Text Summarisation Methods for Improved Podcast Comprehension. - Andrew Aquilina; Sean Diacono; Panagiotis Papapetrou; Maria Movin (CoRR, 2023)

Local Interpretable Model-Agnostic Explanations for Neural Ranking Models. - Amir Hossein Akhavan Rahnama; Laura Galera Alfaro; Zhendong Wang; Maria Movin (SCAI, 2024)

Zero-Shot Reranking with Large Language Models and Precomputed Ranking Features: Opportunities and Limitations. - Maria Movin; Claudia Hauff (SIGIR, 2025)

Consistent Counterfactual Explanations via Anomaly Control and Data Coherence. - Maria Movin; Federico Siciliano; Rui Ferreira; Fabrizio Silvestri; Gabriele Tolomei (IEEE Trans. Artif. Intell., 2025)