Raju S. Bapi

发表

Comparative analysis of ELM and No-Prop algorithms

Alok Singh, Abobakr Khalil Alshamiri, Raju S. Bapi, 2016, 2016 Ninth International Conference on Contemporary Computing (IC3).

Resting state dynamics meets anatomical structure: Temporal multiple kernel learning (tMKL) model

Gustavo Deco, Dipanjan Roy, Raju S. Bapi, 2019, NeuroImage.

What do the basal ganglia do? A modeling perspective

V. Srinivasa Chakravarthy, Raju S. Bapi, Denny Joseph, 2010, Biological Cybernetics.

SeqPAM: A Sequence Clustering Algorithm for Web Personalization

Pradeep Kumar, Raju S. Bapi, P. Radha Krishna, 2007, Int. J. Data Warehous. Min..

State Estimation and Tracking Problems: A Comparison Between Kalman Filter and Recurrent Neural Networks

Atul Negi, Raju S. Bapi, S. Kumar Chenna, 2004, ICONIP.

Neuro-Resistive Grid approach to trainable controllers: A pole balancing example

Guido Bugmann, Raju S. Bapi, Brendan D'Cruz, 1997, Neural Computing & Applications.

Cascaded Multi-level Promoter Recognition of E. coli Using Dinucleotide Features

Raju S. Bapi, T. Sobha Rani, R. Bapi, 2008, 2008 International Conference on Information Technology.

StepEncog: A Convolutional LSTM Autoencoder for Near-Perfect fMRI Encoding

Raju S. Bapi, Subba Reddy Oota, Vijay Rowtula, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Using Sub-sequence Information with kNN for Classification of Sequential Data

Pradeep Kumar, Raju S. Bapi, P. Radha Krishna, 2005, ICDCIT.

Book review: Artificial Intelligence in Perspective by Daniel G. Bobrow (Ed.) (The MIT Press 1993)

Rajkumar Roy, Raju S. Bapi, 1996, SGAR.

Study of Diversity and Similarity of Large Chemical Databases Using Tanimoto Measure

S. Durga Bhavani, Raju S. Bapi, T. Sobha Rani, 2011 .

A survey of distance/similarity measures for categorical data

Atul Negi, Raju S. Bapi, Madhavi Alamuri, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

Artificial intelligence and neural networks: Steps toward principled integration

Raju S. Bapi, Sue L. McCabe, 1996 .

A knowledge driven supervised learning approach to identify gene network of differentially up-regulated genes during neuronal senescence in Rattus norvegicus

Raju S. Bapi, Soumitra Ghosh, Pankaj Singh Dholaniya, 2015, Biosyst..

The art of scaling up : A computational account on action selection in basal ganglia

Nicolas P. Rougier, Raju S. Bapi, Bhargav Teja Nallapu, 2016, 2017 International Joint Conference on Neural Networks (IJCNN).

Content Based Image Retrieval Using Region Labelling

Arun K. Pujari, Raju S. Bapi, Chakravarthy Bhagvati, 2006, ICVGIP.

Support vector regression based hybrid rule extraction methods for forecasting

Vadlamani Ravi, Raju S. Bapi, M. A. H. Farquad, 2010, Expert Syst. Appl..

Rough clustering of sequential data

Pradeep Kumar, Raju S. Bapi, P. Radha Krishna, 2007, Data Knowl. Eng..

Application of multilayer perceptron network for tagging parts-of-speech

Ahmed, Raju S. Bapi, M. Krishna Prasad, 2002, Language Engineering Conference, 2002. Proceedings.

A Computational study of pre-synaptic re-uptake of dopamine on phosphorylation of DARPP-32

Raju S. Bapi, Shesharao M. Wanjerkhede, R. Bapi, 2009, 2009 International Joint Conference on Neural Networks.

Feature Selection Based on Human Perception of Image Similarity for Content Based Image Retrieval

Arun K. Pujari, Raju S. Bapi, B. L. Deekshatulu, 2006 .

Identification of Promoter Region in a DNA Sequence Using EM Algorithm and Neural Networks

S. Durga Bhavani, Raju S. Bapi, Anuj Kumar, 2003, IICAI.

Multisensor Data Fusion Using Neural Networks

Atul Negi, Raju S. Bapi, Narri Yadaiah, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Chunking Patterns Reflect Effector-dependent Representation of Motor Sequence

Raju S. Bapi, Krishna P. Miyapuram, Kenji Doya, 2006 .

Rule Extraction from Support Vector Machine Using Modified Active Learning Based Approach: An Application to CRM

Vadlamani Ravi, Raju S. Bapi, M. A. H. Farquad, 2010, KES.

Mixture of Regression Experts in fMRI Encoding pdf

Raju S. Bapi, Naresh Manwani, Subba Reddy Oota, 2018, ArXiv.

Neural network modeling of the role of the frontal lobes in sequence classification

Raju S. Bapi, 1995 .

Hierarchical Chunking during Learning of Visuomotor Sequences

Ahmed, Kenji Doya, Raju S. Bapi, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Experimental and Computational Investigation of the Effect of Caffeine on Human Time Perception

Raju S. Bapi, Remya Sankar, Anuj Shukla, 2017, CogSci.

Web Usage Mining Using Rough Agglomerative Clustering

Pradeep Kumar, Raju S. Bapi, P. Radha Krishna, 2005, ICEIS.

Detection of Cognitive States from fMRI Data Using Machine Learning Techniques

Raju S. Bapi, Krishna P. Miyapuram, Vishwajeet Singh, 2007, IJCAI.

A new probabilistic active sample selection algorithm for class imbalance problem

Raju S. Bapi, P. Radha Krishna, T. Maruthi Padmaja, 2013, Int. J. Knowl. Eng. Soft Data Paradigms.

Role of CAMKII in reinforcement learning: a computational model of glutamate and dopamine signaling pathways

Raju S. Bapi, Shesharao M. Wanjerkhede, R. Bapi, 2011, Biological Cybernetics.

The frontal lobes and executive function

Guido Bugmann, John G. Taylor, Neill R. Taylor, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

DEKF based Recurrent Neural Network for state estimation of nonlinear dynamical systems

N. Yadaiah, Raju S. Bapi, B. L. Deekshatulu, 2011, 2011 IEEE Recent Advances in Intelligent Computational Systems.

Reinforcement learning and dopamine in the striatum: A modeling perspective

V. D. Mytri, Raju S. Bapi, Shesharao M. Wanjerkhede, 2014, Neurocomputing.

Rule extraction from support vector machines: a hybrid approach for solving classification and regression problems

Vadlamani Ravi, Raju S. Bapi, M. A. H. Farquad, 2011, Int. J. Inf. Decis. Sci..

A Class Specific Dimensionality Reduction Framework for Class Imbalance Problem: CPC_SMOTE

Raju S. Bapi, P. Radha Krishna, T. Maruthi Padmaja, 2010, KDIR.

Class imbalance and its effect on PCA preprocessing

Raju S. Bapi, P. Radha Krishna, T. Maruthi Padmaja, 2014, Int. J. Knowl. Eng. Soft Data Paradigms.

Value-of-Information based Arbitration between Model-based and Model-free Control pdf

Raju S. Bapi, Krishn Bera, Yash Mandilwar, 2019, CogSci.

Data Mining Using Rules Extracted from SVM: An Application to Churn Prediction in Bank Credit Cards

Vadlamani Ravi, Raju S. Bapi, M. A. H. Farquad, 2009, RSFDGrC.

Local and Global Intrinsic Dimensionality Estimation for Better Chemical Space Representation

S. Durga Bhavani, Raju S. Bapi, T. Sobha Rani, 2011, MIWAI.

A Tighter Error Bound for Decision Tree Learning Using PAC Learnability

Arun K. Pujari, Raju S. Bapi, Chakravarthy Bhagvati, 2007, IJCAI.

Two swarm intelligence approaches for tuning extreme learning machine

Alok Singh, Abobakr Khalil Alshamiri, Raju S. Bapi, 2018, Int. J. Mach. Learn. Cybern..

Promoter recognition using dinucleotide features : a case study for E.Coli

S. Durga Bhavani, Raju S. Bapi, T. Sobha Rani, 2006, 9th International Conference on Information Technology (ICIT'06).

Methods and Approaches for Characterizing Learning Related Changes Observed in functional MRI Data — A Review

Raju S. Bapi, Krishna P. Miyapuram, V. S. Chandrasekhar Pammi, 2003 .

Representational Issues in Neural Systems: Example from a Neural Network Model of Set-Shifting Paradigm Experiments

Raju S. Bapi, Michael J. Denham, R. Bapi, 1997, NCPW.

Erratum to: Using Sub-sequence Information with kNN for Classification of Sequential Data

Pradeep Kumar, Raju S. Bapi, P. Radha Krishna, 2005 .

Changing the structure of complex visuo-motor sequences selectively activates the fronto-parietal network

Ahmed, Kenji Doya, Raju S. Bapi, 2012, NeuroImage.

E.coli Promoter Recognition Through Wavelets

Raju S. Bapi, T. Sobha Rani, 2008, BIOCOMP.

HED-ID: An Affective Adaptation Model Explaining the Intensity-Duration Relationship of Emotion

Raju S. Bapi, John Eric Steephen, Siva Charan Obbineni, 2020, IEEE Transactions on Affective Computing.

Clustering using Similarity Upper Approximation

Pradeep Kumar, Raju S. Bapi, P. Radha Krishna, 2006, 2006 IEEE International Conference on Fuzzy Systems.

Support Vector Machine based Hybrid Classifiers and Rule Extraction thereof: Application to Bankruptcy Prediction in Banks

Vadlamani Ravi, M.A.H. Farquad, Raju S. Bapi, 2010 .

A Multi-disciplinary Approach to the Investigation of Aspects of Serial Order in Cognition *

Raju S. Bapi, Krishna P. Miyapuram, V. S. Chandrasekhar Pammi, 2002 .

Does the regulation of local excitation–inhibition balance aid in recovery of functional connectivity? A computational account

Gustavo Deco, Dipanjan Roy, Raju S. Bapi, 2016, NeuroImage.

Unbalanced Sequential Data Classification using Extreme Outlier Elimination and Sampling Techniques

Raju S. Bapi, T. Maruthi Padmaja, P. Radha Krishna, 2012 .

Intelligence: a Synergistic Viewpoint

Raju S. Bapi, Micheal J. Denham, 1996 .

Chunking Phenomenon in Complex Sequential Skill Learning in Humans

Kenji Doya, Raju S. Bapi, Krishna P. Miyapuram, 2004, ICONIP.

Correlating Binding Site Residues of the Protein and Ligand Features to Its Functionality

S. Durga Bhavani, Raju S. Bapi, T. Sobha Rani, 2011, SEMCCO.

Recalling a single object: going beyond the capacity debate

Raju S. Bapi, Rakesh Sengupta, Christelle M Lewis, 2020 .

Stochastic Leaky Integrator Model for Interval Timing

Raju S. Bapi, Komala Anamalamudi, Madhavilatha Maganti, 2014, MIWAI.

Metastability of cortical BOLD signals in maturation and senescence

Dipanjan Roy, Raju S. Bapi, Arpan Banerjee, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

A Sequence Learning Architecture Based on Cortico-Basal Ganglionic Loops and Reinforcement Learning

Kenji Doya, Raju S. Bapi, 1998, ICONIP.

Triune-Brain Inspired Unifying View of Intelligent Computation

Raju S. Bapi, 1998 .

State estimation of nonlinear system through Particle Filter based Recurrent Neural Networks

N. Yadaiah, Raju S. Bapi, A. Suresh Kumar, 2011, 2011 IEEE Recent Advances in Intelligent Computational Systems.

An Exploratory Investigation of Functional Network Connectivity of Empathy and Default Mode Networks in a Free-Viewing Task

Raju S. Bapi, Kavita Vemuri, R. Bapi, 2015, Brain Connect..

Learning Photography Aesthetics with Deep CNNs

Bipin Indurkhya, Raju S. Bapi, Gautam Malu, 2017, MAICS.

Time series Clustering and Analysis of ECG heart-beats using Dynamic Time Warping

Raju S. Bapi, Jagadeeswara Rao Annam, Sai Sudheer Mittapalli, 2011, 2011 Annual IEEE India Conference.

Intrusion Detection System Using Sequence and Set Preserving Metric

Pradeep Kumar, Raju S. Bapi, P. Radha Krishna, 2005, ISI.

Modeling the role of the frontal lobes in sequential task performance. Part II.: Classification of sequences

Raju S. Bapi, Daniel S. Levine, 1997 .

Analysis of Kinase Inhibitors and Druggability of Kinase-Targets Using Machine Learning Techniques

S. Durga Bhavani, Raju S. Bapi, T. Sobha Rani, 2012 .

Advances in Classification of Sequence Data

Raju S. Bapi, P. Radha Krishna, Pradeep Kumar, 2008 .

Machine learning models to predict the progression from early to late stages of papillary renal cell carcinoma

Raju S. Bapi, Noor Pratap Singh, P. K. Vinod, 2018, Comput. Biol. Medicine.

A Novel ELM K-Means Algorithm for Clustering

Alok Singh, Abobakr Khalil Alshamiri, Raju S. Bapi, 2014, SEMCCO.

Protein ligand interaction database (PLID)

Raju S. Bapi, G. Madhavi Sastry, G. Narahari Sastry, 2008, Comput. Biol. Chem..

The influence of spatial cueing on serial order visual memory

David Melcher, Raju S. Bapi, Rakesh Sengupta, 2013, CogSci.

Analysis of n-Gram based Promoter Recognition Methods and Application to Whole Genome Promoter Prediction

Raju S. Bapi, T. Sobha Rani, 2009, Silico Biol..

AAMI Based ECG Heart-Beat Time-Series Clustering Using Unsupervised ELM and Decision Rule

Raju S. Bapi, Jagadeeswara Rao Annam, 2016, 2016 International Conference on Information Technology (ICIT).

Temporal Dynamics of the Brain Using Variational Bayes Hidden Markov Models: Application in Autism

Raju S. Bapi, Preetam Srikar Dammu, Preetam Prabhu Srikar Dammu, 2019, PReMI.

Artificial bee colony algorithm for clustering: an extreme learning approach

Alok Singh, Abobakr Khalil Alshamiri, Raju S. Bapi, 2016, Soft Comput..

A Computational Framework for Motor Skill Acquisition pdf

Raju S. Bapi, Krishn Bera, Tejas Savalia, 2019, ArXiv.

A biologically inspired neuronal model of reward prediction error computation

Frédéric Alexandre, Raju S. Bapi, Maxime Carrere, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Inter Subject Correlation of Brain Activity during Visuo-Motor Sequence Learning

Kenji Doya, Raju S. Bapi, Krishna P. Miyapuram, 2014, ICONIP.

ExpertoCoder: Capturing Divergent Brain Regions Using Mixture of Regression Experts pdf

Raju S. Bapi, Naresh Manwani, Subba Reddy Oota, 2019, ArXiv.

fMRI investigation of cortical and subcortical networks in the learning of abstract and effector-specific representations of motor sequences

Kenji Doya, Raju S. Bapi, Krishna P. Miyapuram, 2006, NeuroImage.

Analysis of E.coli promoter recognition problem in dinucleotide feature space

S. Durga Bhavani, Raju S. Bapi, T. Sobha Rani, 2007, Bioinform..

Churn prediction using comprehensible support vector machine: An analytical CRM application

Vadlamani Ravi, Raju S. Bapi, M. A. H. Farquad, 2014, Appl. Soft Comput..

Feature selection using correlation fractal dimension: Issues and applications in binary classification problems

S. Durga Bhavani, Raju S. Bapi, T. Sobha Rani, 2008, Appl. Soft Comput..

Concept Pre-digestion Method for Image Relevance Reinforcement Learning

Raju S. Bapi, Chakravarthy Bhagvati, Bulusu Lakshmana Deekshatulu, 2007, 2007 International Conference on Computing: Theory and Applications (ICCTA'07).

Networks modeling the involvement of the frontal lobes in learning and performance of flexible movement sequences

Raju S. Bapi, Daniel S. Levine, D. Levine, 1990, 1990 IJCNN International Joint Conference on Neural Networks.

Sequence Pattern Mining for Web Logs

Raju S. Bapi, P. Radha Krishna, Pradeep Kumar, 2012 .

An Unbalanced Data Classification Model Using Hybrid Sampling Technique for Fraud Detection

Raju S. Bapi, P. Radha Krishna, Arijit Laha, 2007, PReMI.

fMRI Semantic Category Decoding using Linguistic Encoding of Word Embeddings pdf

Raju S. Bapi, Naresh Manwani, Subba Reddy Oota, 2018, ICONIP.

Effects of Variable Response-Stimulus Interval (RSI) On Sequence Learning

Raju S. Bapi, Anuj Shukla, Sneha Kummetha, 2017, CogSci.

Multiple Forward Model Architecture for Sequence Processing

Kenji Doya, Raju S. Bapi, 2001, Sequence Learning.