Synergy: A HW/SW Framework for High Throughput CNNs on Embedded Heterogeneous SoC. - Guanwen Zhong; Akshat Dubey; Cheng Tan 002; Tulika Mitra (CoRR, 2018)

Synergy: An HW/SW Framework for High Throughput CNNs on Embedded Heterogeneous SoC. - Guanwen Zhong; Akshat Dubey; Cheng Tan 002; Tulika Mitra (ACM Trans. Embed. Comput. Syst., 2019)

SCL-FExR: supervised contrastive learning approach for facial expression Recognition. - Kshitiza Vasudeva; Akshat Dubey; Saravanan Chandran (Multim. Tools Appl., 2023)

Detecting bots in social-networks using node and structural embeddings. - Ashkan Dehghan; Kinga Siuta; Agata Skorupka; Akshat Dubey; Andrei Betlen; David Miller; Wei Xu; Bogumil Kaminski; Pawel Pralat (J. Big Data, 2023)

Whom to Trust? Elective Learning for Distributed Gaussian Process Regression. - Zewen Yang; Xiaobing Dai; Akshat Dubey; Sandra Hirche; Georges Hattab (AAMAS, 2024)

AI Readiness in Healthcare through Storytelling XAI. - Akshat Dubey; Zewen Yang; Georges Hattab (EXPLIMED@ECAI, 2024)

Persona Adaptable Strategies Make Large Language Models Tractable. - Georges Hattab; Aleksandar Anzel; Akshat Dubey; Chisom Ezekannagha; Zewen Yang; Bahar Ilgen (NLPIR, 2024)

A Nested Model for AI Design and Validation. - Akshat Dubey; Zewen Yang; Georges Hattab (CoRR, 2024)

Surrogate Interpretable Graph for Random Decision Forests. - Akshat Dubey; Aleksandar Anzel; Georges Hattab (CoRR, 2025)

PHAX: A Structured Argumentation Framework for User-Centered Explainable AI in Public Health and Biomedical Sciences. - Bahar Ilgen; Akshat Dubey; Georges Hattab (CoRR, 2025)

UbiQTree: Uncertainty Quantification in XAI with Tree Ensembles. - Akshat Dubey; Aleksandar Anzel; Bahar Ilgen; Georges Hattab (CoRR, 2025)