| 2025 | MICCAI | Ambiguous Medical Image Segmentation Using Diffusion Schrdinger Bridge. | Lalith Bharadwaj Baru, Kamalaker Dadi, Tapabrata Chakraborti, Raju S. Bapi |
| 2024 | ICASSP | Enhancing Healthcare with EOG: A Novel Approach to Sleep Stage Classification. | Suvadeep Maiti, Shivam Kumar Sharma, Raju S. Bapi |
| 2024 | IJCNN | HyperGALE: ASD Classification via Hypergraph Gated Attention with Learnable HyperEdges. | Mehul Arora, Chirag Shantilal Jain, Lalith Bharadwaj Baru, Kamalaker Dadi, Raju S. Bapi |
| 2023 | ACL | How does the brain process syntactic structure while listening? | Subba Reddy Oota, Mounika Marreddy, Manish Gupta, Raju S. Bapi |
| 2023 | ICASSP | Neural Architecture of Speech. | Subba Reddy Oota, Khushbu Pahwa, Mounika Marreddy, Manish Gupta, Raju S. Bapi |
| 2023 | Interspeech | Speech Taskonomy: Which Speech Tasks are the most Predictive of fMRI Brain Activity? | Subba Reddy Oota, Veeral Agarwal, Mounika Marreddy, Manish Gupta, Raju S. Bapi |
| 2022 | COLING | Multi-view and Cross-view Brain Decoding. | Subba Reddy Oota, Jashn Arora, Manish Gupta, Raju S. Bapi |
| 2022 | COLING | Visio-Linguistic Brain Encoding. | Subba Reddy Oota, Jashn Arora, Vijay Rowtula, Manish Gupta, Raju S. Bapi |
| 2022 | IJCNN | Multiple Kernel Learning for Modeling Resting State EEG Connectomes using Structural Connectivity of the Brain. | P. L. Ammar Ahmed, Archi Yadav, Avinash Sharma, Raju S. Bapi |
| 2022 | IJCNN | Characterizing the Dynamic Reorganization in Healthy Ageing and Classification of Brain Age. | Arpita Dash, Raju S. Bapi, Dipanjan Roy, P. K. Vinod |
| 2022 | IJCNN | Multiple GraphHeat Networks for Structural to Functional Brain Mapping. | Subba Reddy Oota, Archi Yadav, Arpita Dash, Raju S. Bapi, Avinash Sharma |
| 2022 | MICCAI | LRH-Net: A Multi-level Knowledge Distillation Approach for Low-Resource Heart Network. | Ekansh Chauhan, Swathi Guptha, Likith Reddy, Raju S. Bapi |
| 2022 | MICCAI | mulEEG: A Multi-view Representation Learning on EEG Signals. | Vamsi Kumar, Likith Reddy, Shivam Kumar Sharma, Kamalaker Dadi, Chiranjeevi Yarra, Raju S. Bapi, Srijithesh Rajendran |
| 2021 | SMC | IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification. | Likith Reddy, Vivek Talwar, Shanmukh Alle, Raju S. Bapi, U. Deva Priyakumar |
| 2020 | CogSci | Value-of-Information based Arbitration between Model-based and Model-free Control. | Krishn Bera, Yash Mandilwar, Anuj Shukla, Raju S. Bapi |
| 2020 | CogSci | Motor Chunking During Sequence Learning in Grid-Navigation Tasks. | Krishn Bera, Anuj Shukla, Raju S. Bapi |
| 2020 | CogSci | Grid-Navigation Tasks involve Skill Learning. | Krishn Bera, Anuj Shukla, Raju S. Bapi |
| 2019 | IJCNN | StepEncog: A Convolutional LSTM Autoencoder for Near-Perfect fMRI Encoding. | Subba Reddy Oota, Vijay Rowtula, Manish Gupta, Raju S. Bapi |
| 2018 | ICONIP | fMRI Semantic Category Decoding Using Linguistic Encoding of Word Embeddings. | Subba Reddy Oota, Naresh Manwani, Raju S. Bapi |
| 2017 | CogSci | Effects of Variable Response-Stimulus Interval (RSI) On Sequence Learning. | Sneha Kummetha, Anuj Shukla, Raju S. Bapi |
| 2017 | CogSci | Experimental and Computational Investigation of the Effect of Caffeine on Human Time Perception. | Remya Sankar, Anuj Shukla, Raju S. Bapi |
| 2017 | IJCNN | Metastability of cortical BOLD signals in maturation and senescence. | Shruti Naik, Oota Subbareddy, Arpan Banerjee, Dipanjan Roy, Raju S. Bapi |
| 2014 | ICONIP | Inter Subject Correlation of Brain Activity during Visuo-Motor Sequence Learning. | Krishna P. Miyapuram, Ujjval Pamnani, Kenji Doya, Raju S. Bapi |
| 2013 | CogSci | The influence of spatial cueing on serial order visual memory. | Rakesh Sengupta, Anvita Gopal, Prajit Basu, David Melcher, Raju S. Bapi |
| 2010 | IC3K | A Class Specific Dimensionality Reduction Framework for Class Imbalance Problem: CPC_SMOTE. | T. Maruthi Padmaja, Raju S. Bapi, P. Radha Krishna |
| 2009 | IJCNN | A Computational study of pre-synaptic re-uptake of dopamine on phosphorylation of DARPP-32. | Shesharao M. Wanjerkhede, Raju S. Bapi |
| 2008 | CIT | Cascaded Multi-level Promoter Recognition of E. coli Using Dinucleotide Features. | T. Sobha Rani, Raju S. Bapi |
| 2007 | IJCAI | A Tighter Error Bound for Decision Tree Learning Using PAC Learnability. | Chaithanya Pichuka, Raju S. Bapi, Chakravarthy Bhagvati, Arun K. Pujari, Bulusu Lakshmana Deekshatulu |
| 2007 | IJCAI | Detection of Cognitive States from fMRI Data Using Machine Learning Techniques. | Vishwajeet Singh, Krishna P. Miyapuram, Raju S. Bapi |
| 2006 | CIT | Promoter Recognition using dinucleotide Features : A Case Study for E.Coli. | T. Sobha Rani, S. Durga Bhavani, Raju S. Bapi |
| 2006 | IJCNN | Hierarchical Chunking during Learning of Visuomotor Sequences. | Krishna P. Miyapuram, Raju S. Bapi, Chandrasekhar V. S. Pammi, Ahmed, Kenji Doya |
| 2006 | IJCNN | MultisensorData Fusion Using Neural Networks. | Narri Yadaiah, Lakshman Singh, Raju S. Bapi, V. Seshagiri Rao, Bulusu Lakshmana Deekshatulu, Atul Negi |
| 2005 | ICDCIT | Using Sub-sequence Information with kNN for Classification of Sequential Data. | Pradeep Kumar, M. Venkateswara Rao, P. Radha Krishna, Raju S. Bapi |
| 2005 | IJCNN | Role of presynaptic reuptake on dopamine modulation of cortico-striatal activity in TD learning. | Shesharao M. Wanjerkhede, Raju S. Bapi |
| 2005 | ISI | Intrusion Detection System Using Sequence and Set Preserving Metric. | Pradeep Kumar, M. Venkateswara Rao, P. Radha Krishna, Raju S. Bapi, Arijit Laha |
| 2004 | ICONIP | State Estimation and Tracking Problems: A Comparison Between Kalman Filter and Recurrent Neural Networks. | S. Kumar Chenna, Yogesh Kr. Jain, Himanshu Kapoor, Raju S. Bapi, Narri Yadaiah, Atul Negi, V. Seshagiri Rao, Bulusu Lakshmana Deekshatulu |
| 2004 | ICONIP | Chunking Phenomenon in Complex Sequential Skill Learning in Humans. | Chandrasekhar V. S. Pammi, Krishna P. Miyapuram, Raju S. Bapi, Kenji Doya |
| 2000 | IJCNN | The Frontal Lobes and Executive Function. | John G. Taylor, Neill R. Taylor, Raju S. Bapi, Guido Bugmann, Daniel S. Levine |
| 1998 | ICONIP | A Sequence Learning Architecture Based on Cortico-Basal Ganglionic Loops and Reinforcement Learning. | Raju S. Bapi, Kenji Doya |
| 1990 | IJCNN | Networks modeling the involvement of the frontal lobes in learning and performance of flexible movement sequences. | Daniel S. Levine, Raju S. Bapi |