Raju S. Bapi - RankMe

91 papers A* 2A 1B 24C 1Misc 4Journal 37Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AI Generalisation Gap In Comorbid Sleep Disorder Staging. CoRR Saswata Bose, Suvadeep Maiti, Shivam Kumar Sharma, S. Mythirayee, Tapabrata Chakraborti, Srijitesh Rajendran, Raju S. Bapi
2025	—	`conf`	Ambiguous Medical Image Segmentation Using Diffusion Schrödinger Bridge. MICCAI (4) Lalith Bharadwaj Baru, Kamalaker Dadi, Tapabrata Chakraborti, Raju S. Bapi
2025	J	`jnl`	Ambiguous Medical Image Segmentation Using Diffusion Schrödinger Bridge. CoRR Lalith Bharadwaj Baru, Kamalaker Dadi, Tapabrata Chakraborti, Raju S. Bapi
2025	J	`jnl`	Instruction-Tuned Video-Audio Models Elucidate Functional Specialization in the Brain. CoRR Subba Reddy Oota, Khushbu Pahwa, Prachi Jindal, Satya Sai Srinath Namburi, Maneesh Kumar Singh, Tanmoy Chakraborty, Raju S. Bapi, Manish Gupta
2024	Misc	`conf`	Enhancing Healthcare with EOG: A Novel Approach to Sleep Stage Classification. ICASSP Suvadeep Maiti, Shivam Kumar Sharma, Raju S. Bapi
2024	B	`conf`	HyperGALE: ASD Classification via Hypergraph Gated Attention with Learnable HyperEdges. IJCNN Mehul Arora, Chirag Shantilal Jain, Lalith Bharadwaj Baru, Kamalaker Dadi, Raju S. Bapi
2023	—	`conf`	BeSt-LeS: Benchmarking Stroke Lesion Segmentation using Deep Supervision. BrainLes/SWITCH@MICCAI Prantik Deb, Lalith Bharadwaj Baru, Kamalaker Dadi, Raju S. Bapi
2023	J	`jnl`	BeSt-LeS: Benchmarking Stroke Lesion Segmentation using Deep Supervision. CoRR Prantik Deb, Lalith Bharadwaj Baru, Kamalaker Dadi, Raju S. Bapi
2023	J	`jnl`	Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey). CoRR Subba Reddy Oota, Manish Gupta, Raju S. Bapi, Gaël Jobard, Frédéric Alexandre, Xavier Hinaut
2023	J	`jnl`	Enhancing Healthcare with EOG: A Novel Approach to Sleep Stage Classification. CoRR Suvadeep Maiti, Shivam Kumar Sharma, Raju S. Bapi
2023	—	`conf`	How does the brain process syntactic structure while listening? ACL (Findings) Subba Reddy Oota, Mounika Marreddy, Manish Gupta, Raju S. Bapi
2023	Misc	`conf`	Neural Architecture of Speech. ICASSP Subba Reddy Oota, Khushbu Pahwa, Mounika Marreddy, Manish Gupta, Raju S. Bapi
2023	A	`conf`	Speech Taskonomy: Which Speech Tasks are the most Predictive of fMRI Brain Activity? INTERSPEECH Subba Reddy Oota, Veeral Agarwal, Mounika Marreddy, Manish Gupta, Raju S. Bapi
2022	J	`jnl`	A Conservative Q-Learning approach for handling distribution shift in sepsis treatment strategies. CoRR Pramod Kaushik, Sneha Kummetha, Perusha Moodley, Raju S. Bapi
2022	B	`conf`	Characterizing the Dynamic Reorganization in Healthy Ageing and Classification of Brain Age. IJCNN Arpita Dash, Raju S. Bapi, Dipanjan Roy, P. K. Vinod
2022	J	`jnl`	Cross-view Brain Decoding. CoRR Subba Reddy Oota, Jashn Arora, Manish Gupta, Raju S. Bapi
2022	Misc	`ed.`	Distributed Computing and Intelligent Technology - 18th International Conference, ICDCIT 2022, Bhubaneswar, India, January 19-23, 2022, Proceedings ICDCIT Raju S. Bapi, Sandeep S. Kulkarni, Swarup Mohalik, Sathya Peri
2022	J	`jnl`	IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification. CoRR Likith Reddy, Vivek Talwar, Shanmukh Alle, Raju S. Bapi, U. Deva Priyakumar
2022	J	`jnl`	LRH-Net: A Multi-Level Knowledge Distillation Approach for Low-Resource Heart Network. CoRR Ekansh Chauhan, Swathi Guptha, Likith Reddy, Raju S. Bapi
2022	—	`conf`	LRH-Net: A Multi-level Knowledge Distillation Approach for Low-Resource Heart Network. DeCaF/FAIR@MICCAI Ekansh Chauhan, Swathi Guptha, Likith Reddy, Raju S. Bapi
2022	B	`conf`	Multi-view and Cross-view Brain Decoding. COLING Subba Reddy Oota, Jashn Arora, Manish Gupta, Raju S. Bapi
2022	B	`conf`	Multiple GraphHeat Networks for Structural to Functional Brain Mapping. IJCNN Subba Reddy Oota, Archi Yadav, Arpita Dash, Raju S. Bapi, Avinash Sharma
2022	B	`conf`	Multiple Kernel Learning for Modeling Resting State EEG Connectomes using Structural Connectivity of the Brain. IJCNN P. L. Ammar Ahmed, Archi Yadav, Avinash Sharma, Raju S. Bapi
2022	B	`conf`	Visio-Linguistic Brain Encoding. COLING Subba Reddy Oota, Jashn Arora, Vijay Rowtula, Manish Gupta, Raju S. Bapi
2022	J	`jnl`	Visio-Linguistic Brain Encoding. CoRR Subba Reddy Oota, Jashn Arora, Vijay Rowtula, Manish Gupta, Raju S. Bapi
2022	J	`jnl`	mulEEG: A Multi-View Representation Learning on EEG Signals. CoRR Vamsi Kumar, Likith Reddy, Shivam Kumar Sharma, Kamalakar Dadi, Chiranjeevi Yarra, Raju S. Bapi, Srijithesh Rajendran
2022	—	`conf`	mulEEG: A Multi-view Representation Learning on EEG Signals. MICCAI (3) Vamsi Kumar, Likith Reddy, Shivam Kumar Sharma, Kamalaker Dadi, Chiranjeevi Yarra, Raju S. Bapi, Srijithesh Rajendran
2021	J	`jnl`	Brain Affective System Inspired Control Architecture: An Application to Nonlinear System. IEEE Access Md. Qutubuddin, Tilahun Kochito Gibo, Raju S. Bapi, Narri Yadaiah
2021	B	`conf`	IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification. SMC Likith Reddy, Vivek Talwar, Shanmukh Alle, Raju S. Bapi, U. Deva Priyakumar
2020	B	`conf`	Grid-Navigation Tasks involve Skill Learning. CogSci Krishn Bera, Anuj Shukla, Raju S. Bapi
2020	J	`jnl`	HED-ID: An Affective Adaptation Model Explaining the Intensity-Duration Relationship of Emotion. IEEE Trans. Affect. Comput. John Eric Steephen, Siva C. Obbineni, Sneha Kummetha, Raju S. Bapi
2020	B	`conf`	Motor Chunking During Sequence Learning in Grid-Navigation Tasks. CogSci Krishn Bera, Anuj Shukla, Raju S. Bapi
2020	B	`conf`	Value-of-Information based Arbitration between Model-based and Model-free Control. CogSci Krishn Bera, Yash Mandilwar, Anuj Shukla, Raju S. Bapi
2019	J	`jnl`	ExpertoCoder: Capturing Divergent Brain Regions Using Mixture of Regression Experts. CoRR Subba Reddy Oota, Naresh Manwani, Raju S. Bapi
2019	B	`conf`	StepEncog: A Convolutional LSTM Autoencoder for Near-Perfect fMRI Encoding. IJCNN Subba Reddy Oota, Vijay Rowtula, Manish Gupta, Raju S. Bapi
2019	J	`jnl`	Value-of-Information based Arbitration between Model-based and Model-free Control. CoRR Krishn Bera, Yash Mandilwar, Raju S. Bapi
2018	J	`jnl`	Age, Disease, and Their Interaction Effects on Intrinsic Connectivity of Children and Adolescents in Autism Spectrum Disorder Using Functional Connectomics. Brain Connect. Vatika Harlalka, Raju S. Bapi, Palakkad Krishnan Unni Vinod, Dipanjan Roy
2018	J	`jnl`	Machine learning models to predict the progression from early to late stages of papillary renal cell carcinoma. Comput. Biol. Medicine Noor Pratap Singh, Raju S. Bapi, P. K. Vinod
2018	J	`jnl`	Mixture of Regression Experts in fMRI Encoding. CoRR Subba Reddy Oota, Adithya Avvaru, Naresh Manwani, Raju S. Bapi
2018	—	`conf`	fMRI Semantic Category Decoding Using Linguistic Encoding of Word Embeddings. ICONIP (3) Subba Reddy Oota, Naresh Manwani, Raju S. Bapi
2018	J	`jnl`	fMRI Semantic Category Decoding using Linguistic Encoding of Word Embeddings. CoRR Subba Reddy Oota, Naresh Manwani, Raju S. Bapi
2017	B	`conf`	Effects of Variable Response-Stimulus Interval (RSI) On Sequence Learning. CogSci Sneha Kummetha, Anuj Shukla, Raju S. Bapi
2017	B	`conf`	Experimental and Computational Investigation of the Effect of Caffeine on Human Time Perception. CogSci Remya Sankar, Anuj Shukla, Raju S. Bapi
2017	—	`conf`	Learning Photography Aesthetics with Deep CNNs. MAICS Gautam Malu, Raju S. Bapi, Bipin Indurkhya
2017	J	`jnl`	Learning Photography Aesthetics with Deep CNNs. CoRR Gautam Malu, Raju S. Bapi, Bipin Indurkhya
2017	B	`conf`	Metastability of cortical BOLD signals in maturation and senescence. IJCNN Shruti Naik, Oota Subbareddy, Arpan Banerjee, Dipanjan Roy, Raju S. Bapi
2014	J	`jnl`	Class imbalance and its effect on PCA preprocessing. Int. J. Knowl. Eng. Soft Data Paradigms T. Maruthi Padmaja, Raju S. Bapi, Rudra N. Hota, P. Radha Krishna
2014	—	`conf`	Inter Subject Correlation of Brain Activity during Visuo-Motor Sequence Learning. ICONIP (1) Krishna P. Miyapuram, Ujjval Pamnani, Kenji Doya, Raju S. Bapi
2014	J	`jnl`	Reinforcement learning and dopamine in the striatum: A modeling perspective. Neurocomputing Shesharao M. Wanjerkhede, Raju S. Bapi, Vithal D. Mytri
2013	J	`jnl`	A new probabilistic active sample selection algorithm for class imbalance problem. Int. J. Knowl. Eng. Soft Data Paradigms T. Maruthi Padmaja, Raju S. Bapi, P. Radha Krishna
2013	B	`conf`	The influence of spatial cueing on serial order visual memory. CogSci Rakesh Sengupta, Anvita Gopal, Prajit Basu, David Melcher, Raju S. Bapi
2012	J	`jnl`	Changing the structure of complex visuo-motor sequences selectively activates the fronto-parietal network. NeuroImage Chandrasekhar V. S. Pammi, Krishna P. Miyapuram, Ahmed, Kazuyuki Samejima, Raju S. Bapi, Kenji Doya
2011	—	`conf`	Correlating Binding Site Residues of the Protein and Ligand Features to Its Functionality. SEMCCO (2) B. Ravindra Reddy, T. Sobha Rani, S. Durga Bhavani, Raju S. Bapi, G. Narahari Sastry
2011	J	`jnl`	Role of CAMKII in reinforcement learning: a computational model of glutamate and dopamine signaling pathways. Biol. Cybern. Shesharao M. Wanjerkhede, Raju S. Bapi
2010	—	`conf`	A Class Specific Dimensionality Reduction Framework for Class Imbalance Problem: CPC_SMOTE. KDIR T. Maruthi Padmaja, Raju S. Bapi, P. Radha Krishna
2010	J	`jnl`	A New Similarity Metric for Sequential Data. Int. J. Data Warehous. Min. Pradeep Kumar, Raju S. Bapi, P. Radha Krishna
2010	J	`jnl`	What do the basal ganglia do? A modeling perspective. Biol. Cybern. V. Srinivasa Chakravarthy, Denny Joseph, Raju S. Bapi
2009	B	`conf`	A Computational study of pre-synaptic re-uptake of dopamine on phosphorylation of DARPP-32. IJCNN Shesharao M. Wanjerkhede, Raju S. Bapi
2009	J	`jnl`	Analysis of n-Gram based Promoter Recognition Methods and Application to Whole Genome Promoter Prediction. Silico Biol. T. Sobha Rani, Raju S. Bapi
2008	—	`conf`	Cascaded Multi-level Promoter Recognition of E. coli Using Dinucleotide Features. ICIT T. Sobha Rani, Raju S. Bapi
2008	—	`conf`	E.coli Promoter Recognition Through Wavelets. BIOCOMP T. Sobha Rani, Raju S. Bapi
2008	J	`jnl`	Feature selection using correlation fractal dimension: Issues and applications in binary classification problems. Appl. Soft Comput. S. Durga Bhavani, T. Sobha Rani, Raju S. Bapi
2008	J	`jnl`	Protein ligand interaction database (PLID). Comput. Biol. Chem. A. Srinivas Reddy, H. S. Durga Amarnath, Raju S. Bapi, G. Madhavi Sastry, G. Narahari Sastry
2007	A*	`conf`	A Tighter Error Bound for Decision Tree Learning Using PAC Learnability. IJCAI Chaithanya Pichuka, Raju S. Bapi, Chakravarthy Bhagvati, Arun K. Pujari, Bulusu Lakshmana Deekshatulu
2007	—	`conf`	An Unbalanced Data Classification Model Using Hybrid Sampling Technique for Fraud Detection. PReMI T. Maruthi Padmaja, Narendra Dhulipalla, P. Radha Krishna, Raju S. Bapi, Arijit Laha
2007	J	`jnl`	Analysis of Bioinform. T. Sobha Rani, S. Durga Bhavani, Raju S. Bapi
2007	—	`conf`	Concept Pre-digestion Method for Image Relevance Reinforcement Learning. ICCTA Sudhakara P. Reddy, Raju S. Bapi, Chakravarthy Bhagvati, Bulusu Lakshmana Deekshatulu
2007	A*	`conf`	Detection of Cognitive States from fMRI Data Using Machine Learning Techniques. IJCAI Vishwajeet Singh, Krishna P. Miyapuram, Raju S. Bapi
2007	J	`jnl`	Rough clustering of sequential data. Data Knowl. Eng. Pradeep Kumar, P. Radha Krishna, Raju S. Bapi, Supriya Kumar De
2007	J	`jnl`	SeqPAM: A Sequence Clustering Algorithm for Web Personalization. Int. J. Data Warehous. Min. Pradeep Kumar, Raju S. Bapi, P. Radha Krishna
2006	B	`conf`	Clustering using Similarity Upper Approximation. FUZZ-IEEE Pradeep Kumar, Pisipati Radha Krishna, Raju S. Bapi, Supriya Kumar De
2006	—	`conf`	Content Based Image Retrieval Using Region Labelling. ICVGIP J. Naveen Kumar Reddy, Chakravarthy Bhagvati, Raju S. Bapi, Arun K. Pujari, Bulusu Lakshmana Deekshatulu
2006	B	`conf`	Hierarchical Chunking during Learning of Visuomotor Sequences. IJCNN Krishna P. Miyapuram, Raju S. Bapi, Chandrasekhar V. S. Pammi, Ahmed, Kenji Doya
2006	B	`conf`	MultisensorData Fusion Using Neural Networks. IJCNN Narri Yadaiah, Lakshman Singh, Raju S. Bapi, V. Seshagiri Rao, Bulusu Lakshmana Deekshatulu, Atul Negi
2006	—	`conf`	Promoter Recognition using dinucleotide Features : A Case Study for E.Coli. ICIT T. Sobha Rani, S. Durga Bhavani, Raju S. Bapi
2006	J	`jnl`	fMRI investigation of cortical and subcortical networks in the learning of abstract and effector-specific representations of motor sequences. NeuroImage Raju S. Bapi, Krishna P. Miyapuram, F. X. Graydon, Kenji Doya
2005	C	`conf`	Intrusion Detection System Using Sequence and Set Preserving Metric. ISI Pradeep Kumar, M. Venkateswara Rao, P. Radha Krishna, Raju S. Bapi, Arijit Laha
2005	B	`conf`	Role of presynaptic reuptake on dopamine modulation of cortico-striatal activity in TD learning. IJCNN Shesharao M. Wanjerkhede, Raju S. Bapi
2005	Misc	`conf`	Using Sub-sequence Information with kNN for Classification of Sequential Data. ICDCIT Pradeep Kumar, M. Venkateswara Rao, P. Radha Krishna, Raju S. Bapi
2005	—	`conf`	Web Usage Mining Using Rough Agglomerative Clustering. ICEIS (2) Pradeep Kumar, P. Radha Krishna, Supriya Kumar De, Raju S. Bapi
2004	B	`conf`	Chunking Phenomenon in Complex Sequential Skill Learning in Humans. ICONIP Chandrasekhar V. S. Pammi, Krishna P. Miyapuram, Raju S. Bapi, Kenji Doya
2004	B	`conf`	State Estimation and Tracking Problems: A Comparison Between Kalman Filter and Recurrent Neural Networks. ICONIP S. Kumar Chenna, Yogesh Kr. Jain, Himanshu Kapoor, Raju S. Bapi, Narri Yadaiah, Atul Negi, V. Seshagiri Rao, Bulusu Lakshmana Deekshatulu
2003	—	`conf`	Identification of Promoter Region in a DNA Sequence Using EM Algorithm and Neural Networks. IICAI Anuj Kumar, Pramod Kumar Upadhyay, T. Sobha Rani, S. Durga Bhavani, Raju S. Bapi
2002	—	`conf`	Application of Multilayer Perceptron Network for Tagging Parts-of-Speech. Language Engineering Conference Ahmed, Raju S. Bapi, Chandrasekhar V. S. Pammi, M. Krishna Prasad
2001	—	`conf`	Multiple Forward Model Architecture for Sequence Processing. Sequence Learning Raju S. Bapi, Kenji Doya
2000	—	`conf`	The Frontal Lobes and Executive Function. IJCNN (1) John G. Taylor, Neill R. Taylor, Raju S. Bapi, Guido Bugmann, Daniel S. Levine
1998	B	`conf`	A Sequence Learning Architecture Based on Cortico-Basal Ganglionic Loops and Reinforcement Learning. ICONIP Raju S. Bapi, Kenji Doya
1997	J	`jnl`	Neuro-Resistive Grid Appraoch to Trainable Controllers: A Pole Balancing Example. Neural Comput. Appl. Raju S. Bapi, Brendan D'Cruz, Guido Bugmann
1997	—	`conf`	Representational Issues in Neural Systems: Example from a Neural Network Model of Set-Shifting Paradigm Experiments. NCPW Raju S. Bapi, Michael J. Denham
1994	J	`jnl`	Modeling the role of frontal lobes in sequential task performance. I. Basic structure and primacy effects. Neural Networks Raju S. Bapi, Daniel S. Levine
1990	B	`conf`	Networks modeling the involvement of the frontal lobes in learning and performance of flexible movement sequences. IJCNN Daniel S. Levine, Raju S. Bapi