B. Chandra

Publication Activity (10 Years)

Years Active: 1997-2021
Publications (10 Years): 11

Top Topics

Top Venues

Expert Syst. Appl.

Publications

Pankaj Dikshit, B. Chandra
Evaluating Sentiments in Social Media Comments on Tax Transformation in India using Deep Learning. ICMLA (2021)
Pankaj Dikshit, B. Chandra, M. P. Gupta
Automating Questions and Answers of Good and Services Tax system using clustering and embeddings of queries. ICMLA (2021)
Pankaj Dikshit, B. Chandra
Assessing the significance of co-occurring terms in Goods and Services Tax in India using co-occurrence graphs and Attention based Deep Learning Models. SMC (2021)
B. Shanker Jaiswal, B. Chandra, Kolin Paul
Geodetic Distance and Dynamic Outlier Exclusion in EM Optimization of Self Exciting Point Process for Homicide Prediction in Chicago. IIAI-AAI (2020)
B. Chandra
An efficient feature selection technique for gene expression data. CIBCB (2018)
B. Chandra, Rajesh Kumar Sharma
On improving recurrent neural network for image classification. IJCNN (2017)
Md. Shiblee, Sandeep Kumar Yadav, B. Chandra
Fault Diagnosis of Internal Combustion Engine Using Empirical Mode Decomposition and Artificial Neural Networks. ICIC (3) (2017)
B. Chandra
A Robust Feature Selection Algorithm. DeSE (2016)
B. Chandra, Rajesh Kumar Sharma
Fast learning in Deep Neural Networks. Neurocomputing 171 (2016)
B. Chandra, Rajesh Kumar Sharma
Deep learning with adaptive learning rate using laplacian score. Expert Syst. Appl. 63 (2016)
B. Chandra, Rajesh Kumar Sharma
On improving the efficiency of complex-valued ELM. IJCNN (2016)
B. Chandra, Rajesh Kumar Sharma
Exploring autoencoders for unsupervised feature selection. IJCNN (2015)
B. Chandra, Rajesh Kumar Sharma
Fast learning for big data applications using parameterized multilayer perceptron. IEEE BigData (2014)
Manish Gupta, B. Chandra, M. P. Gupta
A framework of intelligent decision support system for Indian police. J. Enterp. Inf. Manag. 27 (5) (2014)
B. Chandra, Rajesh Kumar Sharma
Adaptive Noise Schedule for Denoising Autoencoder. ICONIP (1) (2014)
B. Chandra, Kuppili Venkata Naresh Babu
Classification of gene expression data using Spiking Wavelet Radial Basis Neural Network. Expert Syst. Appl. 41 (4) (2014)
B. Chandra, Manish Gupta
A novel approach for distance-based semi-supervised clustering using functional link neural network. Soft Comput. 17 (3) (2013)
Md. Shiblee, B. Chandra
Novel Approach for Blind Source Separation. DeSE (2013)
B. Chandra, Manish Gupta
Novel Multivariate Time Series Clustering Approach for E-Governance of Crime Data. DeSE (2013)
B. Chandra, Shalini Bhaskar
A Novel Approach for Finding Frequent Itemsets in Data Stream. Int. J. Intell. Syst. 28 (3) (2013)
B. Chandra, Kuppili Venkata Naresh Babu
A new spiking neuron model. IJCNN (2013)
B. Chandra, Kuppili Venkata Naresh Babu
A Single Neuron Model for Pattern Classification. ICONIP (4) (2012)
Bipin Kumar Tripathi, B. Chandra, Menakshi Singh, Prem Kumar Kalra
Complex generalized-mean neuron model and its applications. Appl. Soft Comput. 11 (1) (2011)
B. Chandra, Kuppili Venkata Naresh Babu
An improved architecture for Probabilistic Neural Networks. IJCNN (2011)
B. Chandra, Venkatanareshbabu Kuppili
Heterogeneous node split measure for decision tree construction. SMC (2011)
B. Chandra, Shalini Bhaskar
A novel approach of finding frequent itemsets in high speed data streams. FSKD (2011)
B. Chandra, Manish Gupta
Robust approach for estimating probabilities in Naïve-Bayes Classifier for gene expression data. Expert Syst. Appl. 38 (3) (2011)
B. Chandra, Shalini Bhaskar
A new algorithm for graph mining. IJCNN (2011)
B. Chandra, Manish Gupta
An efficient statistical feature selection approach for classification of gene expression data. J. Biomed. Informatics 44 (4) (2011)
B. Chandra, Shalini Bhaskar
A new approach for classification of patterns having categorical attributes. SMC (2011)
B. Chandra, Shalini Bhaskar
A new approach for generating efficient sample from market basket data. Expert Syst. Appl. 38 (3) (2011)
B. V. Phani, B. Chandra, Vijay Raghav
Quest for efficient option pricing prediction model using machine learning techniques. IJCNN (2011)
B. Chandra, Shalini Bhaskar
Patterned Growth algorithm using Hub-Averaging without pre-assigned weights. SMC (2011)
B. Chandra, Ravi Kothari, Pallath Paul
A new node splitting measure for decision tree construction. Pattern Recognit. 43 (8) (2010)
Md. Shiblee, B. Chandra, Prem Kumar Kalra
Generalized Power Mean Neuron Model. WKDD (2010)
Md. Shiblee, B. Chandra, Prem Kumar Kalra
Learning of geometric mean neuron model using resilient propagation algorithm. Expert Syst. Appl. 37 (12) (2010)
B. Chandra, P. Paul Varghese
Moving towards efficient decision tree construction. Inf. Sci. 179 (8) (2009)
B. Chandra, P. Paul Varghese
Fuzzifying Gini Index based decision trees. Expert Syst. Appl. 36 (4) (2009)
B. Chandra
Hybrid Clustering Algorithm. SMC (2009)
B. Chandra, Manish Gupta, M. P. Gupta
A multivariate time series clustering approach for crime trends prediction. SMC (2008)
Md. Shiblee, B. Chandra, Prem Kumar Kalra
New Neuron Model for Blind Source Separation. ICONIP (2) (2008)
B. Chandra, P. Paul Varghese, Pramod K. Saxena, Shri Kant
A novel approach of cryptanalysis using SOM. SMC (2008)
Md. Shiblee, Prem Kumar Kalra, B. Chandra
Time Series Prediction with Multilayer Perceptron (MLP): A New Generalized Error Based Approach. ICONIP (2) (2008)
Bipin Kumar Tripathi, B. Chandra, Prem Kumar Kalra
The Generalized Product Neuron Model in Complex Domain. ICONIP (2) (2008)
Md. Shiblee, B. Chandra, Prem Kumar Kalra
Learning of new neuron model based on geometric mean with new error metrics. SMC (2008)
B. Chandra, P. Paul Varghese
Fuzzy SLIQ Decision Tree Algorithm. IEEE Trans. Syst. Man Cybern. Part B 38 (5) (2008)
B. Chandra, P. Paul Varghese, Pramod K. Saxena, Shri Kant
Neural Networks for Identification of Crypto Systems. IICAI (2007)
B. Chandra, Gaurav Saxena
A New Association Rule Mining Algorithm. ICONIP (2) (2007)
B. Chandra, Manish Gupta, M. P. Gupta
Adaptive Query Interface for Mining Crime Data. DNIS (2007)
B. Chandra, P. Paul Varghese, Ashok Wardhan
Mining Data for Profitable Trading. DMIN (2007)
B. Chandra, Manish Gupta, M. P. Gupta
Robust Approach for Estimating Probabilities in Naive-Bayes Classifier. PReMI (2007)
B. Chandra, P. Paul Varghese
On Improving Efficiency of SLIQ Decision Tree Algorithm. IJCNN (2007)
B. Chandra, Sudhir Nath, Arun Malhothra
Classification and Clustering of Breast Cancer Images. IJCNN (2006)
B. Chandra, Gaurav Saxena
A New Selection Measure for Classification Using Decision Trees. J. Inf. Knowl. Manag. 3 (1) (2004)
Sanjay Kumar Madria, S. N. Maheshwari, B. Chandra
A Concurrency Control Algorithm for an Open and Safe Nested. J. Inf. Sci. Eng. 19 (2) (2003)
B. Chandra, Sati Mazumdar, Vincent C. Arena, Nagender Parimi
Elegant Decision Tree Algorithm for Classification in Data Mining. WISE Workshops (2002)
Sanjay Kumar Madria, S. N. Maheshwari, B. Chandra
Formalization and correctness of a concurrent linear hash structure algorithm using nested transactions and I/O automata. Data Knowl. Eng. 37 (2) (2001)
Sanjay Kumar Madria, S. N. Maheshwari, B. Chandra
Virtual partition algorithm in a nested transaction environment and its correctness. Inf. Sci. 137 (1-4) (2001)
Sanjay Kumar Madria, S. N. Maheshwari, B. Chandra, Bharat K. Bhargava
Formalization and Proof of Correctness of the Crash Recovery Algorithm for an Open and Safe Nested Transaction Model. Int. J. Cooperative Inf. Syst. 10 (1-2) (2001)
Sanjay Kumar Madria, S. N. Maheshwari, B. Chandra, Bharat K. Bhargava
An open and safe nested transaction model: concurrency and recovery. J. Syst. Softw. 55 (2) (2000)
Sanjay Kumar Madria, S. N. Maheshwari, B. Chandra
On the Correctnes of Virtual Partition Algorithm in a Nested Transaction Environment. ADBIS (1999)
Sanjay Kumar Madria, S. N. Maheshwari, B. Chandra
Formalization of Linear Hash Structures Using Nested Transactions and I/O Automation Model. IADT (1998)
Sanjay Kumar Madria, S. N. Maheshwari, B. Chandra, Bharat K. Bhargava
Crash Recovery in an Open and Safe Nested Transaction Model. DEXA (1997)