Distributed real-time sentiment analysis for big data social streams. - Amir Hossein Akhavan Rahnama (CoDIT, 2014)

An LP-based hyperparameter optimization model for language modeling. - Amir Hossein Akhavan Rahnama; Mehdi Toloo; Nezer Jacob Zaidenberg (J. Supercomput., 2018)

A study of data and label shift in the LIME framework. - Amir Hossein Akhavan Rahnama; Henrik Boström (CoRR, 2019)

Evaluation of Local Model-Agnostic Explanations Using Ground Truth. - Amir Hossein Akhavan Rahnama; Judith Bütepage; Pierre Geurts; Henrik Boström (CoRR, 2021)

Evaluating Local Model-Agnostic Explanations of Learning to Rank Models with Decision Paths. - Amir Hossein Akhavan Rahnama; Judith Bütepage (CoRR, 2022)

The Blame Problem in Evaluating Local Explanations and How to Tackle It. - Amir Hossein Akhavan Rahnama (ECAI Workshops (1), 2023)

Faithfulness of Local Explanations for Tree-Based Ensemble Models. - Amir Hossein Akhavan Rahnama; Pierre Geurts; Henrik Boström (DS (2), 2024)

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

Local Point-wise Explanations of LambdaMART. - Amir Hossein Akhavan Rahnama; Judith Bütepage; Henrik Boström (SCAI, 2024)

Local List-Wise Explanations of LambdaMART. - Amir Hossein Akhavan Rahnama; Judith Bütepage; Henrik Boström (xAI (2), 2024)

Can local explanation techniques explain linear additive models? - Amir Hossein Akhavan Rahnama; Judith Bütepage; Pierre Geurts; Henrik Boström (Data Min. Knowl. Discov., 2024)

Evaluating the Faithfulness of Local Feature Attribution Explanations: Can We Trust Explainable AI? - Amir Hossein Akhavan Rahnama (2025)