An adaptive and altruistic PSO-based deep feature selection method for Pneumonia detection from Chest X-rays. - Rishav Pramanik; Sourodip Sarkar; Ram Sarkar (Appl. Soft Comput., 2022)

A fuzzy distance-based ensemble of deep models for cervical cancer detection. - Rishav Pramanik; Momojit Biswas; Shibaprasad Sen; Luis Antônio de Souza Júnior; João Paulo Papa; Ram Sarkar (Comput. Methods Programs Biomed., 2022)

A Brief Overview of Physics-inspired Metaheuristic Optimization Techniques. - Soumitri Chattopadhyay; Aritra Marik; Rishav Pramanik (CoRR, 2022)

An ensemble of deep transfer learning models for handwritten music symbol recognition. - Ashis Paul; Rishav Pramanik; Samir Malakar; Ram Sarkar (Neural Comput. Appl., 2022)

MSENet: Mean and standard deviation based ensemble network for cervical cancer detection. - Rishav Pramanik; Bihan Banerjee; Ram Sarkar (Eng. Appl. Artif. Intell., 2023)

Transformer-based deep reverse attention network for multi-sensory human activity recognition. - Rishav Pramanik; Ritodeep Sikdar; Ram Sarkar (Eng. Appl. Artif. Intell., 2023)

Breast cancer detection in thermograms using a hybrid of GA and GWO based deep feature selection method. - Rishav Pramanik; Payel Pramanik; Ram Sarkar (Expert Syst. Appl., 2023)

Late acceptance hill climbing aided chaotic harmony search for feature selection: An empirical analysis on medical data. - Anurup Naskar; Rishav Pramanik; S. K. Sabbir Hossain; Seyedali Mirjalili; Ram Sarkar (Expert Syst. Appl., 2023)

Masked Multi-Query Slot Attention for Unsupervised Object Discovery. - Rishav Pramanik; José-Fabian Villa-Vásquez; Marco Pedersoli (IJCNN, 2024)

Wanet: weight and attention network for video summarization. - Arpan Basu; Rishav Pramanik; Ram Sarkar (Discov. Artif. Intell., 2024)

Margin-Aware Adaptive-Weighted-Loss for Deep Learning Based Imbalanced Data Classification. - Debasmit Roy; Rishav Pramanik; Ram Sarkar (IEEE Trans. Artif. Intell., 2024)

Distilling semantically aware orders for autoregressive image generation. - Rishav Pramanik; Antoine Poupon; Juan A. Rodríguez; Masih Aminbeidokhti; David Vázquez 001; Christopher Pal; Zhaozheng Yin; Marco Pedersoli (CoRR, 2025)

Rendering-Aware Reinforcement Learning for Vector Graphics Generation. - Juan A. Rodríguez; Haotian Zhang; Abhay Puri; Aarash Feizi; Rishav Pramanik; Pascal Wichmann; Arnab Kumar Mondal; Mohammad Reza Samsami; Rabiul Awal; Perouz Taslakian; Spandana Gella; Sai Rajeswar; et al. (CoRR, 2025)