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ORCIDRaju S. Bapi
S. Bapi Raju – Raju Surampudi Bapi – Surampudi Bapi Raju – Bapi Raju Surampudi
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- affiliation: University of Hyderabad, School of Computer and Information Sciences / Cognitive Science Lab, India
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2020 – today
- 2024
[i17]Mehul Arora, Chirag Shantilal Jain, Lalith Bharadwaj Baru, Kamalaker Dadi, Bapi Raju Surampudi:
HyperGALE: ASD Classification via Hypergraph Gated Attention with Learnable Hyperedges. CoRR abs/2403.14484 (2024)- 2023
- [c68]Subba Reddy Oota, Mounika Marreddy, Manish Gupta, Raju S. Bapi:
How does the brain process syntactic structure while listening? ACL (Findings) 2023: 6624-6647 - [c67]Subba Reddy Oota, Khushbu Pahwa, Mounika Marreddy, Manish Gupta, Raju S. Bapi:
Neural Architecture of Speech. ICASSP 2023: 1-5 - [c66]Dolton Fernandes, Pramod S. Kaushik, Raju Surampudi Bapi:
Emergence of Direction Selectivity and Motion Strength in Dot Motion Task Through Deep Reinforcement Learning Networks. IJCNN 2023: 1-7 - [c65]Pindi Krishna Chandra Prasad, Kamalaker Dadi, Bapi Raju Surampudi:
Dynamic functional connectivity analysis in individuals with Autism Spectrum Disorder. IJCNN 2023: 1-7 - [c64]Upadrasta Naga Sita Sravanthi, Kamalakar Dadi, Bapi Raju Surampudi, P. N. Sylaja, C. Kesavadas, Srijithesh PR, Rinta Paul:
Application of Graph Theoretic measures for assessing efficacy of Stroke Rehabilitation. IJCNN 2023: 1-9 - [c63]Rakesh Sengupta
, Surampudi Bapi Raju, Anindya Pattanayak:
Exploring Emergent Properties of Recurrent Neural Networks Using a Novel Energy Function Formalism. LOD (1) 2023: 303-317 - [c62]Praveen Kumar Vesapogu, Bapi Raju Surampudi:
Encoded Deep Vectors for Eukaryotic Exon Prediction. PReMI 2023: 835-843 - [i16]Subba Reddy Oota, Mounika Marreddy, Manish Gupta, Bapi Raju Surampudi:
Syntactic Structure Processing in the Brain while Listening. CoRR abs/2302.08589 (2023) - [i15]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 abs/2307.10246 (2023) - [i14]Suvadeep Maiti, Shivam Kumar Sharma, Raju S. Bapi:
Enhancing Healthcare with EOG: A Novel Approach to Sleep Stage Classification. CoRR abs/2310.03757 (2023) - 2022
- [j30]Kushal Borkar, Anusha Chaturvedi, P. K. Vinod, Raju Surampudi Bapi:
Ayu-Characterization of healthy aging from neuroimaging data with deep learning and rsfMRI. Frontiers Comput. Neurosci. 16 (2022) - [c61]Kamalaker Dadi, Bapi Raju Surampudi:
Big Data in Cognitive Neuroscience: Opportunities and Challenges. BDA 2022: 16-30 - [c60]Subba Reddy Oota, Jashn Arora, Manish Gupta, Raju S. Bapi:
Multi-view and Cross-view Brain Decoding. COLING 2022: 105-115 - [c59]Subba Reddy Oota, Jashn Arora, Vijay Rowtula, Manish Gupta, Raju S. Bapi:
Visio-Linguistic Brain Encoding. COLING 2022: 116-133 - [c58]Anirban Bandyopadhyay, Sayan Ghosh, Dipayan Biswas, Raju Surampudi Bapi, V. Srinivasa Chakravarthy:
A Phenomenological Deep Oscillatory Neural Network Model to Capture the Whole Brain Dynamics in Terms of BOLD Signal. ICONIP (2) 2022: 160-171 - [c57]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: 1-7 - [c56]Arpita Dash, Raju S. Bapi, Dipanjan Roy, P. K. Vinod:
Characterizing the Dynamic Reorganization in Healthy Ageing and Classification of Brain Age. IJCNN 2022: 1-7 - [c55]Subba Reddy Oota, Archi Yadav, Arpita Dash, Raju S. Bapi, Avinash Sharma:
Multiple GraphHeat Networks for Structural to Functional Brain Mapping. IJCNN 2022: 1-8 - [c54]Pindi Krishna Chandra Prasad, Yash Khare, Kamalaker Dadi, P. K. Vinod, Bapi Raju Surampudi:
Deep Learning Approach for Classification and Interpretation of Autism Spectrum Disorder. IJCNN 2022: 1-8 - [c53]Ekansh Chauhan, Swathi Guptha, Likith Reddy, Raju S. Bapi:
LRH-Net: A Multi-level Knowledge Distillation Approach for Low-Resource Heart Network. DeCaF/FAIR@MICCAI 2022: 190-201 - [c52]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: 398-407 - [c51]Subba Reddy Oota, Jashn Arora, Veeral Agarwal, Mounika Marreddy, Manish Gupta, Bapi Raju Surampudi:
Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity? NAACL-HLT 2022: 3220-3237 - [e1]Raju S. Bapi, Sandeep S. Kulkarni, Swarup Mohalik, Sathya Peri:
Distributed Computing and Intelligent Technology - 18th International Conference, ICDCIT 2022, Bhubaneswar, India, January 19-23, 2022, Proceedings. Lecture Notes in Computer Science 13145, Springer 2022, ISBN 978-3-030-94875-7 [contents] - [i13]Pramod Kaushik, Sneha Kummetha, Perusha Moodley, Raju S. Bapi:
A Conservative Q-Learning approach for handling distribution shift in sepsis treatment strategies. CoRR abs/2203.13884 (2022) - [i12]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 abs/2204.03272 (2022) - [i11]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 abs/2204.05116 (2022) - [i10]Ekansh Chauhan, Swathi Guptha, Likith Reddy, Raju S. Bapi:
LRH-Net: A Multi-Level Knowledge Distillation Approach for Low-Resource Heart Network. CoRR abs/2204.08000 (2022) - [i9]Subba Reddy Oota, Jashn Arora, Vijay Rowtula, Manish Gupta, Raju S. Bapi:
Visio-Linguistic Brain Encoding. CoRR abs/2204.08261 (2022) - [i8]Subba Reddy Oota, Jashn Arora, Manish Gupta, Raju S. Bapi:
Cross-view Brain Decoding. CoRR abs/2204.09564 (2022) - [i7]Subba Reddy Oota, Jashn Arora, Veeral Agarwal, Mounika Marreddy, Manish Gupta, Bapi Raju Surampudi:
Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity? CoRR abs/2205.01404 (2022) - 2021
- [j29]Md. Qutubuddin, Tilahun Kochito Gibo, Raju S. Bapi, Narri Yadaiah:
Brain Affective System Inspired Control Architecture: An Application to Nonlinear System. IEEE Access 9: 86565-86580 (2021) - [c50]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: 1068-1074 - 2020
- [j28]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): 736-750 (2020) - [c49]Krishn Bera, Yash Mandilwar, Anuj Shukla, Raju S. Bapi:
Value-of-Information based Arbitration between Model-based and Model-free Control. CogSci 2020 - [c48]Krishn Bera, Anuj Shukla, Raju S. Bapi:
Motor Chunking During Sequence Learning in Grid-Navigation Tasks. CogSci 2020 - [c47]Krishn Bera, Anuj Shukla, Raju S. Bapi:
Grid-Navigation Tasks involve Skill Learning. CogSci 2020
2010 – 2019
- 2019
- [j27]Sriniwas Govinda Surampudi, Joyneel Misra, Gustavo Deco, Raju Surampudi Bapi, Avinash Sharma, Dipanjan Roy:
Resting state dynamics meets anatomical structure: Temporal multiple kernel learning (tMKL) model. NeuroImage 184: 609-620 (2019) - [c46]Subba Reddy Oota, Vijay Rowtula, Manish Gupta, Raju S. Bapi:
StepEncog: A Convolutional LSTM Autoencoder for Near-Perfect fMRI Encoding. IJCNN 2019: 1-8 - [c45]Preetam Srikar Dammu, Raju Surampudi Bapi:
Temporal Dynamics of the Brain Using Variational Bayes Hidden Markov Models: Application in Autism. PReMI (1) 2019: 121-130 - [c44]Preetam Srikar Dammu, Bapi Raju Surampudi:
Employing Temporal Properties of Brain Activity for Classifying Autism Using Machine Learning. PReMI (2) 2019: 193-200 - [i6]Krishn Bera, Tejas Savalia, S. Bapi Raju:
A Computational Framework for Motor Skill Acquisition. CoRR abs/1901.01856 (2019) - [i5]Subba Reddy Oota, Naresh Manwani, Raju S. Bapi:
ExpertoCoder: Capturing Divergent Brain Regions Using Mixture of Regression Experts. CoRR abs/1909.12299 (2019) - [i4]Krishn Bera, Yash Mandilwar, Raju S. Bapi:
Value-of-Information based Arbitration between Model-based and Model-free Control. CoRR abs/1912.05453 (2019) - 2018
- [j26]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): 407-419 (2018) - [j25]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: 92-99 (2018) - [j24]Abobakr Khalil Alshamiri, Alok Singh, Bapi Raju Surampudi:
Two swarm intelligence approaches for tuning extreme learning machine. Int. J. Mach. Learn. Cybern. 9(8): 1271-1283 (2018) - [c43]Subba Reddy Oota, Naresh Manwani, Raju S. Bapi:
fMRI Semantic Category Decoding Using Linguistic Encoding of Word Embeddings. ICONIP (3) 2018: 3-15 - [i3]Subba Reddy Oota, Naresh Manwani, Raju S. Bapi:
fMRI Semantic Category Decoding using Linguistic Encoding of Word Embeddings. CoRR abs/1806.05177 (2018) - [i2]Subba Reddy Oota, Adithya Avvaru, Naresh Manwani, Raju S. Bapi:
Mixture of Regression Experts in fMRI Encoding. CoRR abs/1811.10740 (2018) - 2017
- [c42]Sneha Kummetha, Anuj Shukla, Raju S. Bapi:
Effects of Variable Response-Stimulus Interval (RSI) On Sequence Learning. CogSci 2017 - [c41]Remya Sankar, Anuj Shukla, Raju S. Bapi:
Experimental and Computational Investigation of the Effect of Caffeine on Human Time Perception. CogSci 2017 - [c40]Bhargav Teja Nallapu, Bapi Raju Surampudi, Nicolas P. Rougier:
The art of scaling up : A computational account on action selection in basal ganglia. IJCNN 2017: 52-58 - [c39]Pramod S. Kaushik, Maxime Carrere, Frédéric Alexandre, Surampudi Bapi Raju:
A biologically inspired neuronal model of reward prediction error computation. IJCNN 2017: 3577-3584 - [c38]Shruti Naik, Oota Subbareddy, Arpan Banerjee, Dipanjan Roy, Raju S. Bapi:
Metastability of cortical BOLD signals in maturation and senescence. IJCNN 2017: 4564-4570 - [c37]Gautam Malu, Raju S. Bapi, Bipin Indurkhya:
Learning Photography Aesthetics with Deep CNNs. MAICS 2017: 129-136 - [i1]Gautam Malu, Raju S. Bapi, Bipin Indurkhya:
Learning Photography Aesthetics with Deep CNNs. CoRR abs/1707.03981 (2017) - 2016
- [j23]Anirudh Nihalani Vattikonda, Bapi Raju Surampudi, Arpan Banerjee, Gustavo Deco, Dipanjan Roy:
Does the regulation of local excitation-inhibition balance aid in recovery of functional connectivity? A computational account. NeuroImage 136: 57-67 (2016) - [j22]Abobakr Khalil Alshamiri, Alok Singh, Bapi Raju Surampudi:
Artificial bee colony algorithm for clustering: an extreme learning approach. Soft Comput. 20(8): 3163-3176 (2016) - [c36]Jagadeeswara Rao Annam, Bapi Raju Surampudi:
AAMI Based ECG Heart-Beat Time-Series Clustering Using Unsupervised ELM and Decision Rule. ICIT 2016: 137-141 - [c35]Abobakr Khalil Alshamiri, Alok Singh, Bapi Raju Surampudi:
Comparative analysis of ELM and No-Prop algorithms. IC3 2016: 1-5 - 2015
- [j21]Pankaj Singh Dholaniya, Soumitra Ghosh, Bapi Raju Surampudi, Anand K. Kondapi:
A knowledge driven supervised learning approach to identify gene network of differentially up-regulated genes during neuronal senescence in Rattus norvegicus. Biosyst. 135: 9-14 (2015) - [j20]Kavita Vemuri, Bapi Raju Surampudi:
An Exploratory Investigation of Functional Network Connectivity of Empathy and Default Mode Networks in a Free-Viewing Task. Brain Connect. 5(6): 384-400 (2015) - 2014
- [j19]M. A. H. Farquad, Vadlamani Ravi, S. Bapi Raju:
Churn prediction using comprehensible support vector machine: An analytical CRM application. Appl. Soft Comput. 19: 31-40 (2014) - [j18]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): 272-294 (2014) - [j17]Shesharao M. Wanjerkhede, Raju S. Bapi, Vithal D. Mytri:
Reinforcement learning and dopamine in the striatum: A modeling perspective. Neurocomputing 138: 27-40 (2014) - [c34]Krishna P. Miyapuram, Ujjval Pamnani, Kenji Doya, Raju S. Bapi:
Inter Subject Correlation of Brain Activity during Visuo-Motor Sequence Learning. ICONIP (1) 2014: 35-41 - [c33]Madhavi Alamuri, Bapi Raju Surampudi, Atul Negi:
A survey of distance/similarity measures for categorical data. IJCNN 2014: 1907-1914 - [c32]Komala Anamalamudi, Bapi Raju Surampudi, Madhavilatha Maganti:
Stochastic Leaky Integrator Model for Interval Timing. MIWAI 2014: 13-22 - [c31]Abobakr Khalil Alshamiri, Bapi Raju Surampudi, Alok Singh:
A Novel ELM K-Means Algorithm for Clustering. SEMCCO 2014: 212-222 - 2013
- [j16]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): 85-106 (2013) - [c30]Rakesh Sengupta, Anvita Gopal, Prajit Basu, David Melcher, Raju S. Bapi:
The influence of spatial cueing on serial order visual memory. CogSci 2013 - 2012
- [j15]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): 1180-1189 (2012) - 2011
- [j14]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): 397-424 (2011) - [j13]Mohammad Abdul Haque Farquad, Vadlamani Ravi, S. Bapi Raju:
Rule extraction from support vector machines: a hybrid approach for solving classification and regression problems. Int. J. Inf. Decis. Sci. 3(3): 265-294 (2011) - [c29]Mohammed Hussein Shukur, T. Sobha Rani, S. Durga Bhavani, G. Narahari Sastry, Surampudi Bapi Raju:
Local and Global Intrinsic Dimensionality Estimation for Better Chemical Space Representation. MIWAI 2011: 329-338 - [c28]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: 166-173 - 2010
- [j12]V. Srinivasa Chakravarthy, Denny Joseph, Raju S. Bapi:
What do the basal ganglia do? A modeling perspective. Biol. Cybern. 103(3): 237-253 (2010) - [j11]M. A. H. Farquad, Vadlamani Ravi, S. Bapi Raju:
Support vector regression based hybrid rule extraction methods for forecasting. Expert Syst. Appl. 37(8): 5577-5589 (2010) - [j10]Pradeep Kumar, Raju S. Bapi, P. Radha Krishna:
A New Similarity Metric for Sequential Data. Int. J. Data Warehous. Min. 6(4): 16-32 (2010) - [c27]T. Maruthi Padmaja, Raju S. Bapi, P. Radha Krishna:
A Class Specific Dimensionality Reduction Framework for Class Imbalance Problem: CPC_SMOTE. KDIR 2010: 237-242 - [c26]M. A. H. Farquad, Vadlamani Ravi, S. Bapi Raju:
Rule Extraction from Support Vector Machine Using Modified Active Learning Based Approach: An Application to CRM. KES (1) 2010: 461-470
2000 – 2009
- 2009
- [j9]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): S1-S16 (2009) - [c25]Shesharao M. Wanjerkhede, Raju S. Bapi:
A Computational study of pre-synaptic re-uptake of dopamine on phosphorylation of DARPP-32. IJCNN 2009: 3303-3310 - [c24]M. A. H. Farquad, Vadlamani Ravi, S. Bapi Raju:
Data Mining Using Rules Extracted from SVM: An Application to Churn Prediction in Bank Credit Cards. RSFDGrC 2009: 390-397 - 2008
- [j8]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): 555-563 (2008) - [j7]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): 387-390 (2008) - [c23]T. Sobha Rani, Raju S. Bapi:
E.coli Promoter Recognition Through Wavelets. BIOCOMP 2008: 256-262 - [c22]T. Sobha Rani, Raju S. Bapi:
Cascaded Multi-level Promoter Recognition of E. coli Using Dinucleotide Features. ICIT 2008: 83-88 - 2007
- [j6]T. Sobha Rani, S. Durga Bhavani, Raju S. Bapi:
Analysis of E.coli promoter recognition problem in dinucleotide feature space. Bioinform. 23(5): 582-588 (2007) - [j5]Pradeep Kumar, P. Radha Krishna, Raju S. Bapi, Supriya Kumar De:
Rough clustering of sequential data. Data Knowl. Eng. 63(2): 183-199 (2007) - [j4]Pradeep Kumar, Raju S. Bapi, P. Radha Krishna:
SeqPAM: A Sequence Clustering Algorithm for Web Personalization. Int. J. Data Warehous. Min. 3(1): 29-53 (2007) - [c21]Sudhakara P. Reddy, Raju S. Bapi, Chakravarthy Bhagvati, Bulusu Lakshmana Deekshatulu:
Concept Pre-digestion Method for Image Relevance Reinforcement Learning. ICCTA 2007: 605-610 - [c20]Vishwajeet Singh, Krishna P. Miyapuram, Raju S. Bapi:
Detection of Cognitive States from fMRI Data Using Machine Learning Techniques. IJCAI 2007: 587-592 - [c19]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: 1011-1016 - [c18]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: 341-348 - 2006
- [j3]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): 714-727 (2006) - [c17]T. Sobha Rani, S. Durga Bhavani, Raju S. Bapi:
Promoter Recognition using dinucleotide Features : A Case Study for E.Coli. ICIT 2006: 7-10 - [c16]Pradeep Kumar, Pisipati Radha Krishna, Raju S. Bapi, Supriya Kumar De:
Clustering using Similarity Upper Approximation. FUZZ-IEEE 2006: 839-844 - [c15]J. Naveen Kumar Reddy, Chakravarthy Bhagvati, Raju S. Bapi, Arun K. Pujari, Bulusu Lakshmana Deekshatulu:
Content Based Image Retrieval Using Region Labelling. ICVGIP 2006: 872-881 - [c14]Krishna P. Miyapuram, Raju S. Bapi, Chandrasekhar V. S. Pammi, Ahmed, Kenji Doya:
Hierarchical Chunking during Learning of Visuomotor Sequences. IJCNN 2006: 249-253 - [c13]Narri Yadaiah, Lakshman Singh, Raju S. Bapi, V. Seshagiri Rao, Bulusu Lakshmana Deekshatulu, Atul Negi:
MultisensorData Fusion Using Neural Networks. IJCNN 2006: 875-881 - 2005
- [c12]Pradeep Kumar, M. Venkateswara Rao, P. Radha Krishna, Raju S. Bapi:
Using Sub-sequence Information with kNN for Classification of Sequential Data. ICDCIT 2005: 536-546 - [c11]Pradeep Kumar, P. Radha Krishna, Supriya Kumar De, Raju S. Bapi:
Web Usage Mining Using Rough Agglomerative Clustering. ICEIS (2) 2005: 315-320 - [c10]Pradeep Kumar, M. Venkateswara Rao, P. Radha Krishna, Raju S. Bapi, Arijit Laha:
Intrusion Detection System Using Sequence and Set Preserving Metric. ISI 2005: 498-504 - 2004
- [c9]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: 275-281 - [c8]Chandrasekhar V. S. Pammi, Krishna P. Miyapuram, Raju S. Bapi, Kenji Doya:
Chunking Phenomenon in Complex Sequential Skill Learning in Humans. ICONIP 2004: 294-299 - 2003
- [c7]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: 676-684 - 2002
- [c6]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: 57 - 2001
- [c5]Raju S. Bapi, Kenji Doya:
Multiple Forward Model Architecture for Sequence Processing. Sequence Learning 2001: 308-320 - 2000
- [c4]John G. Taylor, Neill R. Taylor, Raju S. Bapi, Guido Bugmann, Daniel S. Levine:
The Frontal Lobes and Executive Function. IJCNN (1) 2000: 41-46
1990 – 1999
- 1998
- [c3]Raju S. Bapi, Kenji Doya:
A Sequence Learning Architecture Based on Cortico-Basal Ganglionic Loops and Reinforcement Learning. ICONIP 1998: 260-263 - 1997
- [j2]Raju S. Bapi, Brendan D'Cruz, Guido Bugmann:
Neuro-Resistive Grid Appraoch to Trainable Controllers: A Pole Balancing Example. Neural Comput. Appl. 5(1): 33-44 (1997) - [c2]Raju S. Bapi, Michael J. Denham:
Representational Issues in Neural Systems: Example from a Neural Network Model of Set-Shifting Paradigm Experiments. NCPW 1997: 129-141 - 1994
- [j1]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): 1167-1180 (1994) - 1990
- [c1]Daniel S. Levine, Raju S. Bapi:
Networks modeling the involvement of the frontal lobes in learning and performance of flexible movement sequences. IJCNN 1990: 759-764
Coauthor Index
P. Radha Krishna 0001
aka: Pisipati Radha Krishna
aka: Pisipati Radha Krishna
Subba Reddy Oota
aka: Oota Subbareddy
aka: Oota Subbareddy
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last updated on 2024-04-18 20:33 CEST by the dblp team
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