Multimodal Co-learning: Challenges, applications with datasets, recent advances and future directions. - Anil Rahate; Rahee Walambe; Sheela Ramanna; Ketan Kotecha (Inf. Fusion, 2022)

Employing multimodal co-learning to evaluate the robustness of sensor fusion for industry 5.0 tasks. - Anil Rahate; Shruti Mandaokar; Pulkit Chandel; Rahee Walambe; Sheela Ramanna; Ketan Kotecha (Soft Comput., 2023)

Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions. - Priya Bhatt; Amanrose Sethi; Vaibhav Tasgaonkar; Jugal Shroff; Isha Pendharkar; Aditya Desai; Pratyush Sinha; Aditya Deshpande; Gargi Joshi; Anil Rahate; Priyanka Jain; Rahee Walambe; et al. (Brain Informatics, 2023)

Employing Co-Learning to Evaluate the Explainability of Multimodal Sentiment Analysis. - Deepak Kumar Jain 001; Anil Rahate; Gargi Joshi; Rahee Walambe; Ketan Kotecha (IEEE Trans. Comput. Soc. Syst., 2024)