Raju S. Bapi

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 36

Top Topics

Control Architecture

Top Venues

Publications

Suvadeep Maiti, Shivam Kumar Sharma, Raju S. Bapi
Enhancing Healthcare with EOG: A Novel Approach to Sleep Stage Classification. ICASSP (2024)
Subba Reddy Oota, Khushbu Pahwa, Mounika Marreddy, Manish Gupta, Raju S. Bapi
Neural Architecture of Speech. ICASSP (2023)
Subba Reddy Oota, Mounika Marreddy, Manish Gupta, Raju S. Bapi
How does the brain process syntactic structure while listening? ACL (Findings) (2023)
Subba Reddy Oota, Veeral Agarwal, Mounika Marreddy, Manish Gupta, Raju S. Bapi
Speech Taskonomy: Which Speech Tasks are the most Predictive of fMRI Brain Activity? INTERSPEECH (2023)
Suvadeep Maiti, Shivam Kumar Sharma, Raju S. Bapi
Enhancing Healthcare with EOG: A Novel Approach to Sleep Stage Classification. CoRR (2023)
Subba Reddy Oota, Manish Gupta, Raju S. Bapi, Gaël Jobard, Frédéric Alexandre, Xavier Hinaut
Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey). CoRR (2023)
Subba Reddy Oota, Jashn Arora, Manish Gupta, Raju S. Bapi
Cross-view Brain Decoding. CoRR (2022)
Vamsi Kumar, Likith Reddy, Shivam Kumar Sharma, Kamalakar Dadi, Chiranjeevi Yarra, Raju S. Bapi, Srijithesh Rajendran
mulEEG: A Multi-View Representation Learning on EEG Signals. CoRR (2022)
Subba Reddy Oota, Archi Yadav, Arpita Dash, Raju S. Bapi, Avinash Sharma
Multiple GraphHeat Networks for Structural to Functional Brain Mapping. IJCNN (2022)
Likith Reddy, Vivek Talwar, Shanmukh Alle, Raju S. Bapi, U. Deva Priyakumar
IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification. CoRR (2022)
Subba Reddy Oota, Jashn Arora, Vijay Rowtula, Manish Gupta, Raju S. Bapi
Visio-Linguistic Brain Encoding. CoRR (2022)
Subba Reddy Oota, Jashn Arora, Vijay Rowtula, Manish Gupta, Raju S. Bapi
Visio-Linguistic Brain Encoding. COLING (2022)
Subba Reddy Oota, Jashn Arora, Manish Gupta, Raju S. Bapi
Multi-view and Cross-view Brain Decoding. COLING (2022)
Arpita Dash, Raju S. Bapi, Dipanjan Roy, P. K. Vinod
Characterizing the Dynamic Reorganization in Healthy Ageing and Classification of Brain Age. IJCNN (2022)
Vamsi Kumar, Likith Reddy, Shivam Kumar Sharma, Kamalaker Dadi, Chiranjeevi Yarra, Raju S. Bapi, Srijithesh Rajendran
mulEEG: A Multi-view Representation Learning on EEG Signals. MICCAI (3) (2022)
Pramod Kaushik, Sneha Kummetha, Perusha Moodley, Raju S. Bapi
A Conservative Q-Learning approach for handling distribution shift in sepsis treatment strategies. CoRR (2022)
P. L. Ammar Ahmed, Archi Yadav, Avinash Sharma, Raju S. Bapi
Multiple Kernel Learning for Modeling Resting State EEG Connectomes using Structural Connectivity of the Brain. IJCNN (2022)
Likith Reddy, Vivek Talwar, Shanmukh Alle, Raju S. Bapi, U. Deva Priyakumar
IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification. SMC (2021)
Md. Qutubuddin, Tilahun Kochito Gibo, Raju S. Bapi, Narri Yadaiah
Brain Affective System Inspired Control Architecture: An Application to Nonlinear System. IEEE Access 9 (2021)
Krishn Bera, Yash Mandilwar, Anuj Shukla, Raju S. Bapi
Value-of-Information based Arbitration between Model-based and Model-free Control. CogSci (2020)
John Eric Steephen, Siva C. Obbineni, Sneha Kummetha, Raju S. Bapi
HED-ID: An Affective Adaptation Model Explaining the Intensity-Duration Relationship of Emotion. IEEE Trans. Affect. Comput. 11 (4) (2020)
Krishn Bera, Anuj Shukla, Raju S. Bapi
Grid-Navigation Tasks involve Skill Learning. CogSci (2020)
Krishn Bera, Anuj Shukla, Raju S. Bapi
Motor Chunking During Sequence Learning in Grid-Navigation Tasks. CogSci (2020)
Krishn Bera, Yash Mandilwar, Raju S. Bapi
Value-of-Information based Arbitration between Model-based and Model-free Control. CoRR (2019)
Subba Reddy Oota, Naresh Manwani, Raju S. Bapi
ExpertoCoder: Capturing Divergent Brain Regions Using Mixture of Regression Experts. CoRR (2019)
Subba Reddy Oota, Vijay Rowtula, Manish Gupta, Raju S. Bapi
StepEncog: A Convolutional LSTM Autoencoder for Near-Perfect fMRI Encoding. IJCNN (2019)
Subba Reddy Oota, Naresh Manwani, Raju S. Bapi
fMRI Semantic Category Decoding Using Linguistic Encoding of Word Embeddings. ICONIP (3) (2018)
Subba Reddy Oota, Adithya Avvaru, Naresh Manwani, Raju S. Bapi
Mixture of Regression Experts in fMRI Encoding. CoRR (2018)
Subba Reddy Oota, Naresh Manwani, Raju S. Bapi
fMRI Semantic Category Decoding using Linguistic Encoding of Word Embeddings. CoRR (2018)
Vatika Harlalka, Raju S. Bapi, Palakkad Krishnan Unni Vinod, Dipanjan Roy
Age, Disease, and Their Interaction Effects on Intrinsic Connectivity of Children and Adolescents in Autism Spectrum Disorder Using Functional Connectomics. Brain Connect. 8 (7) (2018)
Noor Pratap Singh, Raju S. Bapi, P. K. Vinod
Machine learning models to predict the progression from early to late stages of papillary renal cell carcinoma. Comput. Biol. Medicine 100 (2018)
Gautam Malu, Raju S. Bapi, Bipin Indurkhya
Learning Photography Aesthetics with Deep CNNs. MAICS (2017)
Sneha Kummetha, Anuj Shukla, Raju S. Bapi
Effects of Variable Response-Stimulus Interval (RSI) On Sequence Learning. CogSci (2017)
Gautam Malu, Raju S. Bapi, Bipin Indurkhya
Learning Photography Aesthetics with Deep CNNs. CoRR (2017)
Remya Sankar, Anuj Shukla, Raju S. Bapi
Experimental and Computational Investigation of the Effect of Caffeine on Human Time Perception. CogSci (2017)
Shruti Naik, Oota Subbareddy, Arpan Banerjee, Dipanjan Roy, Raju S. Bapi
Metastability of cortical BOLD signals in maturation and senescence. IJCNN (2017)
Krishna P. Miyapuram, Ujjval Pamnani, Kenji Doya, Raju S. Bapi
Inter Subject Correlation of Brain Activity during Visuo-Motor Sequence Learning. ICONIP (1) (2014)
T. Maruthi Padmaja, Raju S. Bapi, Rudra N. Hota, P. Radha Krishna
Class imbalance and its effect on PCA preprocessing. Int. J. Knowl. Eng. Soft Data Paradigms 4 (3) (2014)
Shesharao M. Wanjerkhede, Raju S. Bapi, Vithal D. Mytri
Reinforcement learning and dopamine in the striatum: A modeling perspective. Neurocomputing 138 (2014)
Rakesh Sengupta, Anvita Gopal, Prajit Basu, David Melcher, Raju S. Bapi
The influence of spatial cueing on serial order visual memory. CogSci (2013)
T. Maruthi Padmaja, Raju S. Bapi, P. Radha Krishna
A new probabilistic active sample selection algorithm for class imbalance problem. Int. J. Knowl. Eng. Soft Data Paradigms 4 (1) (2013)
Chandrasekhar V. S. Pammi, Krishna P. Miyapuram, Ahmed, Kazuyuki Samejima, Raju S. Bapi, Kenji Doya
Changing the structure of complex visuo-motor sequences selectively activates the fronto-parietal network. NeuroImage 59 (2) (2012)
B. Ravindra Reddy, T. Sobha Rani, S. Durga Bhavani, Raju S. Bapi, G. Narahari Sastry
Correlating Binding Site Residues of the Protein and Ligand Features to Its Functionality. SEMCCO (2) (2011)
Shesharao M. Wanjerkhede, Raju S. Bapi
Role of CAMKII in reinforcement learning: a computational model of glutamate and dopamine signaling pathways. Biol. Cybern. 104 (6) (2011)
Pradeep Kumar, Raju S. Bapi, P. Radha Krishna
A New Similarity Metric for Sequential Data. Int. J. Data Warehous. Min. 6 (4) (2010)
V. Srinivasa Chakravarthy, Denny Joseph, Raju S. Bapi
What do the basal ganglia do? A modeling perspective. Biol. Cybern. 103 (3) (2010)
T. Maruthi Padmaja, Raju S. Bapi, P. Radha Krishna
A Class Specific Dimensionality Reduction Framework for Class Imbalance Problem: CPC_SMOTE. KDIR (2010)
T. Sobha Rani, Raju S. Bapi
Analysis of n-Gram based Promoter Recognition Methods and Application to Whole Genome Promoter Prediction. Silico Biol. 9 (1-2) (2009)
Shesharao M. Wanjerkhede, Raju S. Bapi
A Computational study of pre-synaptic re-uptake of dopamine on phosphorylation of DARPP-32. IJCNN (2009)
T. Sobha Rani, Raju S. Bapi
Cascaded Multi-level Promoter Recognition of E. coli Using Dinucleotide Features. ICIT (2008)
T. Sobha Rani, Raju S. Bapi
E.coli Promoter Recognition Through Wavelets. BIOCOMP (2008)
A. Srinivas Reddy, H. S. Durga Amarnath, Raju S. Bapi, G. Madhavi Sastry, G. Narahari Sastry
Protein ligand interaction database (PLID). Comput. Biol. Chem. 32 (5) (2008)
S. Durga Bhavani, T. Sobha Rani, Raju S. Bapi
Feature selection using correlation fractal dimension: Issues and applications in binary classification problems. Appl. Soft Comput. 8 (1) (2008)
Pradeep Kumar, P. Radha Krishna, Raju S. Bapi, Supriya Kumar De
Rough clustering of sequential data. Data Knowl. Eng. 63 (2) (2007)
Vishwajeet Singh, Krishna P. Miyapuram, Raju S. Bapi
Detection of Cognitive States from fMRI Data Using Machine Learning Techniques. IJCAI (2007)
Pradeep Kumar, Raju S. Bapi, P. Radha Krishna
SeqPAM: A Sequence Clustering Algorithm for Web Personalization. Int. J. Data Warehous. Min. 3 (1) (2007)
Chaithanya Pichuka, Raju S. Bapi, Chakravarthy Bhagvati, Arun K. Pujari, Bulusu Lakshmana Deekshatulu
A Tighter Error Bound for Decision Tree Learning Using PAC Learnability. IJCAI (2007)
T. Maruthi Padmaja, Narendra Dhulipalla, P. Radha Krishna, Raju S. Bapi, Arijit Laha
An Unbalanced Data Classification Model Using Hybrid Sampling Technique for Fraud Detection. PReMI (2007)
T. Sobha Rani, S. Durga Bhavani, Raju S. Bapi
promoter recognition problem in dinucleotide feature space. Bioinform. 23 (5) (2007)
Sudhakara P. Reddy, Raju S. Bapi, Chakravarthy Bhagvati, Bulusu Lakshmana Deekshatulu
Concept Pre-digestion Method for Image Relevance Reinforcement Learning. ICCTA (2007)
J. Naveen Kumar Reddy, Chakravarthy Bhagvati, Raju S. Bapi, Arun K. Pujari, Bulusu Lakshmana Deekshatulu
Content Based Image Retrieval Using Region Labelling. ICVGIP (2006)
Pradeep Kumar, Pisipati Radha Krishna, Raju S. Bapi, Supriya Kumar De
Clustering using Similarity Upper Approximation. FUZZ-IEEE (2006)
T. Sobha Rani, S. Durga Bhavani, Raju S. Bapi
Promoter Recognition using dinucleotide Features : A Case Study for E.Coli. ICIT (2006)
Krishna P. Miyapuram, Raju S. Bapi, Chandrasekhar V. S. Pammi, Ahmed, Kenji Doya
Hierarchical Chunking during Learning of Visuomotor Sequences. IJCNN (2006)
Narri Yadaiah, Lakshman Singh, Raju S. Bapi, V. Seshagiri Rao, Bulusu Lakshmana Deekshatulu, Atul Negi
MultisensorData Fusion Using Neural Networks. IJCNN (2006)
Raju S. Bapi, Krishna P. Miyapuram, F. X. Graydon, Kenji Doya
fMRI investigation of cortical and subcortical networks in the learning of abstract and effector-specific representations of motor sequences. NeuroImage 32 (2) (2006)
Pradeep Kumar, P. Radha Krishna, Supriya Kumar De, Raju S. Bapi
Web Usage Mining Using Rough Agglomerative Clustering. ICEIS (2) (2005)
Pradeep Kumar, M. Venkateswara Rao, P. Radha Krishna, Raju S. Bapi, Arijit Laha
Intrusion Detection System Using Sequence and Set Preserving Metric. ISI (2005)
Pradeep Kumar, M. Venkateswara Rao, P. Radha Krishna, Raju S. Bapi
Using Sub-sequence Information with kNN for Classification of Sequential Data. ICDCIT (2005)
S. Kumar Chenna, Yogesh Kr. Jain, Himanshu Kapoor, Raju S. Bapi, Narri Yadaiah, Atul Negi, V. Seshagiri Rao, Bulusu Lakshmana Deekshatulu
State Estimation and Tracking Problems: A Comparison Between Kalman Filter and Recurrent Neural Networks. ICONIP (2004)
Chandrasekhar V. S. Pammi, Krishna P. Miyapuram, Raju S. Bapi, Kenji Doya
Chunking Phenomenon in Complex Sequential Skill Learning in Humans. ICONIP (2004)
Anuj Kumar, Pramod Kumar Upadhyay, T. Sobha Rani, S. Durga Bhavani, Raju S. Bapi
Identification of Promoter Region in a DNA Sequence Using EM Algorithm and Neural Networks. IICAI (2003)
Ahmed, Raju S. Bapi, Chandrasekhar V. S. Pammi, M. Krishna Prasad
Application of Multilayer Perceptron Network for Tagging Parts-of-Speech. Language Engineering Conference (2002)
Raju S. Bapi, Kenji Doya
Multiple Forward Model Architecture for Sequence Processing. Sequence Learning (2001)
John G. Taylor, Neill R. Taylor, Raju S. Bapi, Guido Bugmann, Daniel S. Levine
The Frontal Lobes and Executive Function. IJCNN (1) (2000)
Raju S. Bapi, Kenji Doya
A Sequence Learning Architecture Based on Cortico-Basal Ganglionic Loops and Reinforcement Learning. ICONIP (1998)
Raju S. Bapi, Michael J. Denham
Representational Issues in Neural Systems: Example from a Neural Network Model of Set-Shifting Paradigm Experiments. NCPW (1997)
Raju S. Bapi, Brendan D'Cruz, Guido Bugmann
Neuro-Resistive Grid Appraoch to Trainable Controllers: A Pole Balancing Example. Neural Comput. Appl. 5 (1) (1997)
Raju S. Bapi, Daniel S. Levine
Modeling the role of frontal lobes in sequential task performance. I. Basic structure and primacy effects. Neural Networks 7 (6-7) (1994)
Daniel S. Levine, Raju S. Bapi
Networks modeling the involvement of the frontal lobes in learning and performance of flexible movement sequences. IJCNN (1990)