Raju S. Bapi - Publications

Affiliations: 
University of Hyderabad, Hyderabad, Telangana, India 
Area:
Neural Networks, Sequence learning, fMRI, BioInformatics

54 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2015 Wutz A, Shukla A, Bapi RS, Melcher D. Expansion and Compression of Time Correlate with Information Processing in an Enumeration Task. Plos One. 10: e0135794. PMID 26308546 DOI: 10.1371/journal.pone.0135794  0.76
2014 Wanjerkhede SM, Bapi RS, Mytri VD. Reinforcement learning and dopamine in the striatum: A modeling perspective Neurocomputing. 138: 27-40. DOI: 10.1016/j.neucom.2013.02.061  0.88
2014 Miyapuram KP, Pamnani U, Doya K, Bapi RS. Inter Subject Correlation of Brain Activity during Visuo-Motor Sequence learning Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8834: 35-41.  0.76
2013 Prasanthi S, Sobha Rani T, Durga Bhavani S, Bapi RS. Analysis of kinase inhibitors and druggability of kinase-targets using machine learning techniques Bioinformatics: Concepts, Methodologies, Tools, and Applications. 2: 937-947. DOI: 10.4018/978-1-4666-3604-0.ch050  0.76
2012 Pammi VS, Miyapuram KP, Ahmed, Samejima K, Bapi RS, Doya K. Changing the structure of complex visuo-motor sequences selectively activates the fronto-parietal network. Neuroimage. 59: 1180-9. PMID 21867758 DOI: 10.1016/j.neuroimage.2011.08.006  0.88
2011 Wanjerkhede SM, Bapi RS. Role of CAMKII in reinforcement learning: a computational model of glutamate and dopamine signaling pathways. Biological Cybernetics. 104: 397-424. PMID 21701878 DOI: 10.1007/s00422-011-0439-5  0.88
2011 Kumar P, Bapi RS, Radha Krishna P. Sequence pattern mining for web logs Pattern Discovery Using Sequence Data Mining: Applications and Studies. 237-243. DOI: 10.4018/978-1-61350-056-9.ch014  0.88
2011 Maruthi Padmaja T, Bapi RS, Radha Krishna P. Unbalanced sequential data classification using extreme outlier elimination and sampling techniques Pattern Discovery Using Sequence Data Mining: Applications and Studies. 83-93. DOI: 10.4018/978-1-61350-056-9.ch005  0.88
2011 Yadaiah N, Bapi RS, Singh L, Deekshatulu BL. DEKF based recurrent neural network for state estimation of nonlinear dynamical systems 2011 Ieee Recent Advances in Intelligent Computational Systems, Raics 2011. 311-316. DOI: 10.1109/RAICS.2011.6069325  0.88
2011 Yadaiah N, Bapi RS, Kumar AS, Roopchandan M. State estimation of nonlinear system through particle filter based recurrent neural networks 2011 Ieee Recent Advances in Intelligent Computational Systems, Raics 2011. 307-310. DOI: 10.1109/RAICS.2011.6069324  0.88
2011 Annam JR, Mittapalli SS, Bapi RS. Time series clustering and analysis of ECG heart-beats using dynamic time warping Proceedings - 2011 Annual Ieee India Conference: Engineering Sustainable Solutions, Indicon-2011. DOI: 10.1109/INDCON.2011.6139394  0.88
2011 Das T, Bapi RS, Padakannaya P, Singh NC. Cortical network for reading linear words in an alphasyllabary Reading and Writing. 24: 697-707. DOI: 10.1007/s11145-010-9241-3  0.88
2011 Reddy BR, Rani TS, Bhavani SD, Bapi RS, Sastry GN. Correlating binding site residues of the protein and ligand features to its functionality Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7077: 166-173. DOI: 10.1007/978-3-642-27242-4_20  0.88
2011 Sankara Rao A, Durga Bhavani S, Sobha Rani T, Bapi RS, Narahari Sastry G. Study of Diversity and Similarity of Large Chemical Databases Using Tanimoto Measure Communications in Computer and Information Science. 157: 40-50. DOI: 10.1007/978-3-642-22786-8_5  0.88
2010 Chakravarthy VS, Joseph D, Bapi RS. What do the basal ganglia do? A modeling perspective. Biological Cybernetics. 103: 237-53. PMID 20644953 DOI: 10.1007/s00422-010-0401-y  0.88
2010 Kumar U, Das T, Bapi RS, Padakannaya P, Joshi RM, Singh NC. Reading different orthographies: An fMRI study of phrase reading in Hindi-English bilinguals Reading and Writing. 23: 239-255. DOI: 10.1007/s11145-009-9176-8  0.88
2009 Rani TS, Bapi RS. Analysis of n-gram based promoter recognition methods and application to whole genome promoter prediction. In Silico Biology. 9: S1-16. PMID 19537162 DOI: 10.3233/ISB-2009-0388  0.88
2009 Farquad MAH, Ravi V, Bapi RS. Support vector machine based hybrid classifiers and rule extraction thereof: Application to bankruptcy prediction in banks Handbook of Research On Machine Learning Applications and Trends: Algorithms, Methods, and Techniques. 404-426. DOI: 10.4018/978-1-60566-766-9.ch019  0.88
2009 Wanjerkhede SM, Bapi RS. A computational study of pre-synaptic re-uptake of dopamine on phosphorylation of DARPP-32 Proceedings of the International Joint Conference On Neural Networks. 3303-3310. DOI: 10.1109/IJCNN.2009.5178661  0.88
2009 Das T, Kumar U, Bapi RS, Padakannaya P, Singh NC. Neural representation of an alphasyllabary - the story of Devanagari Current Science. 97: 1033-1038.  0.88
2008 Reddy AS, Amarnath HS, Bapi RS, Sastry GM, Sastry GN. Protein ligand interaction database (PLID). Computational Biology and Chemistry. 32: 387-90. PMID 18514578 DOI: 10.1016/j.compbiolchem.2008.03.017  0.88
2008 Wanjerkhede SM, Bapi RS. Modeling the sub-cellular signaling pathways involved in reinforcement learning at the striatum. Progress in Brain Research. 168: 193-206. PMID 18166396 DOI: 10.1016/S0079-6123(07)68016-9  0.88
2008 Kumar P, Krishna PR, Bapi RS, Padmaja TM. Advances in classification of sequence data Data Mining and Knowledge Discovery Technologies. 143-174. DOI: 10.4018/978-1-59904-960-1.ch007  0.88
2008 Padmaja TM, Krishna PR, Bapi RS. Majority filter-based minority prediction (MFMP): An approach for unbalanced datasets Ieee Region 10 Annual International Conference, Proceedings/Tencon. DOI: 10.1109/TENCON.2008.4766705  0.88
2008 Farquad MAH, Ravi V, Bapi RS. Rule extraction using support vector machine based hybrid classifier Ieee Region 10 Annual International Conference, Proceedings/Tencon. DOI: 10.1109/TENCON.2008.4766534  0.88
2008 Rani TS, Bapi RS. Cascaded multi-level Promoter recognition of E. coli using dinucleotide features Proceedings - 11th International Conference On Information Technology, Icit 2008. 83-88. DOI: 10.1109/ICIT.2008.56  0.88
2008 Durga Bhavani S, Sobha Rani T, Bapi RS. Feature selection using correlation fractal dimension: Issues and applications in binary classification problems Applied Soft Computing Journal. 8: 555-563. DOI: 10.1016/j.asoc.2007.03.007  0.88
2008 Rani TS, Bapi RS. E.coli promoter recognition through wavelets Proceedings of the 2008 International Conference On Bioinformatics and Computational Biology, Biocomp 2008. 256-262.  0.88
2007 Rani TS, Bhavani SD, Bapi RS. Analysis of E. coli promoter recognition problem in dinucleotide feature space. Bioinformatics (Oxford, England). 23: 582-8. PMID 17237059 DOI: 10.1093/bioinformatics/btl670  0.88
2007 Kumar P, Bapi RS, Krishna PR. SeqPAM: A sequence clustering algorithm for web personalization Successes and New Directions in Data Mining. 17-38. DOI: 10.4018/978-1-59904-645-7.ch002  0.88
2007 Rani TS, Bhavani SD, Bapi RS. Promoter recognition using dinucleotide features: A case study for E.Coli Proceedings - 9th International Conference On Information Technology, Icit 2006. 7-10. DOI: 10.1109/ICIT.2006.75  0.88
2007 Sudhakara Reddy P, Bapi RS, Bhagvati C, Deekshatulu BL. Concept pre-digestion method for image relevance reinforcement learning Proceedings - International Conference On Computing: Theory and Applications, Iccta 2007. 605-609. DOI: 10.1109/ICCTA.2007.43  0.88
2007 Kumar P, Krishna PR, Bapi RS, De SK. Rough clustering of sequential data Data and Knowledge Engineering. 63: 183-199. DOI: 10.1016/j.datak.2007.01.003  0.88
2007 Pichuka C, Bapi RS, Bhagvati C, Pujari AK, Deekshatulu BL. A tighter error bound for decision tree learning using PAC learnability Ijcai International Joint Conference On Artificial Intelligence. 1011-1016.  0.88
2007 Maruthi Padmaja T, Dhulipalla N, Bapi RS, Radha Krishna P. Unbalanced data classification using extreme outlier elimination and sampling techniques for fraud detection Proceedings of the 15th International Conference On Advanced Computing and Communications, Adcom 2007. 511-516.  0.88
2007 Singh V, Miyapuram KP, Bapi RS. Detection of cognitive states from fMRI data using machine learning techniques Ijcai International Joint Conference On Artificial Intelligence. 587-592.  0.88
2007 Padmaja TM, Dhulipalla N, Krishna PR, Bapi RS, Laha A. An unbalanced data classification model using hybrid sampling technique for fraud detection Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4815: 341-348.  0.88
2006 Bapi RS, Miyapuram KP, Graydon FX, Doya K. fMRI investigation of cortical and subcortical networks in the learning of abstract and effector-specific representations of motor sequences. Neuroimage. 32: 714-27. PMID 16798015 DOI: 10.1016/j.neuroimage.2006.04.205  0.88
2006 Kumar P, Radha Krishna P, Bapi RS, De Kumar S. Clustering using similarity upper approximation Ieee International Conference On Fuzzy Systems. 839-844. DOI: 10.1109/FUZZY.2006.1681808  0.88
2006 Yadaiah N, Singh L, Bapi RS, Seshagiri Rao V, Deekshatulu BL, Negi A. Multisensor data fusion using neural networks Ieee International Conference On Neural Networks - Conference Proceedings. 875-881.  0.88
2006 Miyapuram KP, Bapi RS, Pammi CVS, Ahmed, Doya K. Hierarchical chunking during learning of visuomotor sequences Ieee International Conference On Neural Networks - Conference Proceedings. 249-253.  0.88
2005 Wanjerkhede SM, Bapi RS. Role of presynaptic reuptake on dopamine modulation of cortico-striatal activity in TD learning Proceedings of the International Joint Conference On Neural Networks. 4: 2145-2149. DOI: 10.1109/IJCNN.2005.1556232  0.88
2005 Pradeep Kumar N, Venkateswara Rao M, Radha Krishna P, Bapi RS. Using sub-sequence information with kNN for classification of sequential data Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3816: 536-546.  0.88
2005 Bapi RS, Chandrasekhar Pammi VS, Miyapuram KP, Ahmed. Investigation of sequence processing: A cognitive and computational neuroscience perspective Current Science. 89: 1690-1698.  0.88
2005 Kumar P, Rao MV, Krishna PR, Bapi RS, Laha A. Intrusion detection system using sequence and set preserving metric Lecture Notes in Computer Science. 3495: 498-504.  0.88
2004 Chandrasekhar Pammi VS, Miyapuram KP, Bapi RS, Doya K. Chunking phenomenon in complex sequential skill learning in humans Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3316: 294-299.  0.88
2004 Kumar Chenna S, Jain YK, Kapoor H, Bapi RS, Yadaiah N, Negi A, Seshagiri Rao V, Deekshatulu BL. State estimation and tracking problems: A comparison between kalman filter and recurrent neural networks Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3316: 275-281.  0.88
2000 Bugmann G, Bapi RS. Modelling relative recency discrimination tasks using a stochastic working memory model. Bio Systems. 58: 195-202. PMID 11164647 DOI: 10.1016/S0303-2647(00)00123-4  0.88
2000 Bapi RS, Doya K, Harner AM. Evidence for effector independent and dependent representations and their differential time course of acquisition during motor sequence learning. Experimental Brain Research. 132: 149-62. PMID 10853941 DOI: 10.1007/s002219900332  0.88
2000 Taylor JG, Taylor NR, Bapi R, Bugmann G, Levine D. Frontal lobes and executive function Proceedings of the International Joint Conference On Neural Networks. 1: 41-46.  0.88
1997 Bapi RS, D'Cruz B, Bugmann G. Neuro-resistive grid approach to trainable controllers: A pole balancing example Neural Computing and Applications. 5: 33-44.  0.88
1997 Bapi RS, Levine DS. Modeling the role of the frontal lobes in sequential task performance. Part II.: Classification of sequences Neural Network World. 7: 3-27.  0.88
1994 Bapi RS, Levine DS. Modeling the role of frontal lobes in sequential task performance. I. Basic structure and primacy effects Neural Networks. 7: 1167-1180. DOI: 10.1016/S0893-6080(05)80165-0  0.88
1990 Levine DS, Bapi RS. Networks modeling the involvement of the frontal lobes in learning and performance of flexible movement sequences Ijcnn. International Joint Conference On Neural Networks. 759-764.  0.88
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