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2020 – today
- 2024
[j48]Ananya Roy, Aruna Tiwari, Sumeet Saurav
, Sanjay Singh:
Enhancing skeleton-based action recognition using a knowledge-driven shift graph convolutional network. Comput. Electr. Eng. 120: 109633 (2024)- [j47]Rituraj Singh, Anikeit Sethi, Krishanu Saini, Sumeet Saurav, Aruna Tiwari, Sanjay Singh:
Attention-guided generator with dual discriminator GAN for real-time video anomaly detection. Eng. Appl. Artif. Intell. 131: 107830 (2024) - [j46]Rituraj Singh, Anikeit Sethi, Krishanu Saini, Sumeet Saurav, Aruna Tiwari, Sanjay Singh:
CVAD-GAN: Constrained video anomaly detection via generative adversarial network. Image Vis. Comput. 143: 104950 (2024) - [j45]Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Rishabh Soni, Rahul Mahbubani, Saket Kumar:
An incremental clustering method based on multiple objectives for dynamic data analysis. Multim. Tools Appl. 83(13): 38145-38165 (2024) - [j44]Rituraj Singh, Anikeit Sethi, Krishanu Saini, Sumeet Saurav, Aruna Tiwari, Sanjay Singh:
VALD-GAN: video anomaly detection using latent discriminator augmented GAN. Signal Image Video Process. 18(1): 821-831 (2024) - [j43]Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Parul Mogre, Pranjal Gadge, Kethavath Jagadeesh:
A novel apache spark-based 14-dimensional scalable feature extraction approach for the clustering of genomics data. J. Supercomput. 80(3): 3554-3588 (2024) - [j42]Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Alok Kumar Tiwari:
A taxonomy of unsupervised feature selection methods including their pros, cons, and challenges. J. Supercomput. 80(16): 24212-24240 (2024) - [i11]Sharmila S. P, Aruna Tiwari, Narendra S. Chaudhari:
Obfuscated Memory Malware Detection. CoRR abs/2408.12866 (2024) - 2023
- [j41]Rituraj Singh, Krishanu Saini, Anikeit Sethi, Aruna Tiwari, Sumeet Saurav, Sanjay Singh:
STemGAN: spatio-temporal generative adversarial network for video anomaly detection. Appl. Intell. 53(23): 28133-28152 (2023) - [j40]Suchitra Agrawal, Aruna Tiwari, Bhaskar Yaduvanshi, Prashant Rajak:
Differential evolution with nearest better clustering for multimodal multiobjective optimization. Appl. Soft Comput. 148: 110852 (2023) - [j39]Vikas Chauhan, Aruna Tiwari, Boppudi Venkata, Vislavath Naik:
Tackling over-smoothing in multi-label image classification using graphical convolution neural network. Evol. Syst. 14(5): 771-781 (2023) - [j38]Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Nilagiri Harshith, Mukkamalla Mounika, Neha Nagendra:
Apache Spark-based scalable feature extraction approaches for protein sequence and their clustering performance analysis. Int. J. Data Sci. Anal. 15(4): 359-378 (2023) - [j37]Suchitra Agrawal, Aruna Tiwari, Bhaskar Yaduvanshi, Prashant Rajak:
Feature subset selection using multimodal multiobjective differential evolution. Knowl. Based Syst. 265: 110361 (2023) - [c51]Anikeit Sethi, Krishanu Saini, Rituraj Singh, Aruna Tiwari, Sumeet Saurav, Sanjay Singh, Vikas Chauhan:
MAAD-GAN: Memory-Augmented Attention-Based Discriminator GAN for Video Anomaly Detection. CVIP (3) 2023: 164-175 - [c50]Anikeit Sethi, Krishanu Saini, Rituraj Singh, Sumeet Saurav, Aruna Tiwari, Sanjay Singh, Vikas Chauhan:
Video Anomaly Latent Training GAN (VALT GAN): Enhancing Anomaly Detection Through Latent Space Mining. SSCI 2023: 573-578 - [c49]Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Abhishek Tripathi, Preeti Jha:
A Novel Feature Extraction Approach for the Clustering and Classification of Genome Sequences. SSCI 2023: 1018-1023 - [c48]Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Anjali Gupta, Deepali Sukhija, Deepika Sukhija, Rajesh Dwivedi:
Scalable Kernelized Deep Fuzzy Clustering Algorithms for Big Data. SSCI 2023: 1322-1327 - 2022
- [j36]Vikas Chauhan, Aruna Tiwari, Niranjan Joshi, Sahaj Khandelwal:
Multi-label classifier for protein sequence using heuristic-based deep convolution neural network. Appl. Intell. 52(3): 2820-2837 (2022) - [j35]Vikas Chauhan, Aruna Tiwari:
Randomized neural networks for multilabel classification. Appl. Soft Comput. 115: 108184 (2022) - [j34]Vikas Chauhan, Aruna Tiwari:
Pairnorm based Graphical Convolution Network for zero-shot multi-label classification. Eng. Appl. Artif. Intell. 114: 105012 (2022) - [j33]Suchitra Agrawal, Aruna Tiwari:
Solving multimodal optimization problems using adaptive differential evolution with archive. Inf. Sci. 612: 1024-1044 (2022) - [j32]Mohammad Tanveer, Aruna Tiwari, Rahul Choudhary, M. A. Ganaie:
Large-scale pinball twin support vector machines. Mach. Learn. 111(10): 3525-3548 (2022) - [j31]Animesh Chaturvedi, Aruna Tiwari, Shubhangi Chaturvedi, Pietro Liò:
System Neural Network: Evolution and Change Based Structure Learning. IEEE Trans. Artif. Intell. 3(3): 426-435 (2022) - [c47]Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Nilagiri Harshith, Soundarya Lahari Solasa:
A Novel Scalable Feature Extraction Approach for COVID-19 Protein Sequences and their Cluster Analysis with Kernelized Fuzzy Algorithm. BigComp 2022: 56-59 - [c46]Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Vaibhav Anand, Sudhanshu Arya, Tanmay Singh:
HPC enabled a Novel Deep Fuzzy Scalable Clustering Algorithm and its Application for Protein Data. CIBCB 2022: 1-8 - [c45]Animesh Chaturvedi, Aruna Tiwari, Nicolas Spyratos:
System Network Analytics: Evolution and Stable Rules of a State Series. DSAA 2022: 1-10 - [c44]Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Sawarkar Saloni, Namani Sreeharsh:
HPC Based Scalable Logarithmic Kernelized Fuzzy Clustering Algorithms for Handling Big Data. ICONIP (5) 2022: 205-215 - [c43]Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe:
A Hybrid Feature Selection Approach for Data Clustering Based on Ant Colony Optimization. ICONIP (3) 2022: 659-670 - [c42]Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Rapolu Pulakitha, Aditi Chauhan:
High-Performance Computing based Scalable Online Fuzzy Clustering Algorithms for Big Data. SSCI 2022: 1400-1407 - [i10]Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Om Prakash Patel, Nilagiri Harshith, Mukkamalla Mounika, Neha Nagendra:
A Novel Scalable Apache Spark Based Feature Extraction Approaches for Huge Protein Sequence and their Clustering Performance Analysis. CoRR abs/2204.11835 (2022) - [i9]Shatendra Singh, Aruna Tiwari:
Enhanced Opposition Differential Evolution Algorithm for Multimodal Optimization. CoRR abs/2208.11066 (2022) - [i8]Animesh Chaturvedi, Aruna Tiwari, Nicolas Spyratos:
System Network Analytics: Evolution and Stable Rules of a State Series. CoRR abs/2210.15965 (2022) - 2021
- [j30]Suchitra Agrawal, Aruna Tiwari, Prathamesh Naik, Arjun Srivastava:
Improved differential evolution based on multi-armed bandit for multimodal optimization problems. Appl. Intell. 51(11): 7625-7646 (2021) - [j29]Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Mukkamalla Mounika, Neha Nagendra:
Apache Spark based kernelized fuzzy clustering framework for single nucleotide polymorphism sequence analysis. Comput. Biol. Chem. 92: 107454 (2021) - [j28]Chandan Gautam, Aruna Tiwari, Pratik K. Mishra, Suresh Sundaram, Alexandros Iosifidis, Muhammad Tanveer:
Graph-Embedded Multi-Layer Kernel Ridge Regression for One-Class Classification. Cogn. Comput. 13(2): 552-569 (2021) - [j27]Pratik K. Mishra, Chandan Gautam, Aruna Tiwari:
Minimum variance embedded auto-associative kernel extreme learning machine for one-class classification. Neural Comput. Appl. 33(19): 12973-12987 (2021) - [j26]Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Neha Nagendra, Mukkamalla Mounika:
Scalable incremental fuzzy consensus clustering algorithm for handling big data. Soft Comput. 25(13): 8703-8719 (2021) - [j25]Animesh Chaturvedi, Aruna Tiwari, Dave W. Binkley, Shubhangi Chaturvedi:
Service Evolution Analytics: Change and Evolution Mining of a Distributed System. IEEE Trans. Engineering Management 68(1): 137-148 (2021) - [j24]Om Prakash Patel, Neha Bharill, Aruna Tiwari, Mukesh Prasad:
A Novel Quantum-Inspired Fuzzy Based Neural Network for Data Classification. IEEE Trans. Emerg. Top. Comput. 9(2): 1031-1044 (2021) - [j23]Animesh Chaturvedi, Aruna Tiwari, Nicolas Spyratos:
minStab: Stable Network Evolution Rule Mining for System Changeability Analysis. IEEE Trans. Emerg. Top. Comput. Intell. 5(2): 274-283 (2021) - [j22]Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe, Mukkamalla Mounika, Neha Nagendra:
A Novel Scalable Kernelized Fuzzy Clustering Algorithms Based on In-Memory Computation for Handling Big Data. IEEE Trans. Emerg. Top. Comput. Intell. 5(6): 908-919 (2021) - [j21]Chandan Gautam, Aruna Tiwari, Suresh Sundaram, Kapil Ahuja:
Adaptive Online Learning With Regularized Kernel for One-Class Classification. IEEE Trans. Syst. Man Cybern. Syst. 51(3): 1917-1932 (2021) - [c41]Ajay Choudhary, Preeti Jha, Aruna Tiwari, Neha Bharill, Milind B. Ratnaparkhe:
Scalable Fuzzy Clustering-based Regression to Predict the Isoelectric Points of the Plant Protein Sequences using Apache Spark. FUZZ-IEEE 2021: 1-6 - [c40]Rituraj, Aruna Tiwari, Santanu Chaudhury, Sanjay Singh, Sumeet Saurav:
Video Classification using SlowFast Network via Fuzzy rule. FUZZ-IEEE 2021: 1-6 - 2020
- [j20]Siddharth Gupta, Salim Ullah, Kapil Ahuja, Aruna Tiwari, Akash Kumar:
ALigN: A Highly Accurate Adaptive Layerwise Log_2_Lead Quantization of Pre-Trained Neural Networks. IEEE Access 8: 118899-118911 (2020) - [j19]Chandan Gautam, Aruna Tiwari, Muhammad Tanveer:
AEKOC+: Kernel Ridge Regression-Based Auto-Encoder for One-Class Classification Using Privileged Information. Cogn. Comput. 12(2): 412-425 (2020) - [j18]Neha Bharill, Aruna Tiwari, Aayushi Malviya, Om Prakash Patel, Akahansh Gupta, Deepak Puthal, Amit Saxena, Mukesh Prasad:
Fuzzy knowledge based performance analysis on big data. Neurocomputing 389: 218-228 (2020) - [j17]Chandan Gautam, Pratik K. Mishra, Aruna Tiwari, Bharat Richhariya, Hari Mohan Pandey, Shuihua Wang, Muhammad Tanveer:
Minimum variance-embedded deep kernel regularized least squares method for one-class classification and its applications to biomedical data. Neural Networks 123: 191-216 (2020) - [j16]Animesh Chaturvedi, Aruna Tiwari, Shubhangi Chaturvedi:
SysEvoRecomd: Network Reconstruction by Graph Evolution and Change Learning. IEEE Syst. J. 14(3): 4007-4014 (2020) - [j15]Animesh Chaturvedi, Aruna Tiwari:
System Network Complexity: Network Evolution Subgraphs of System State Series. IEEE Trans. Emerg. Top. Comput. Intell. 4(2): 130-139 (2020) - [c39]Salim Ullah, Siddharth Gupta, Kapil Ahuja, Aruna Tiwari, Akash Kumar:
L2L: A Highly Accurate Log_2_Lead Quantization of Pre-trained Neural Networks. DATE 2020: 979-982 - [c38]Vikas Chauhan, Aruna Tiwari, Shivvrat Arya:
Multi-Label classifier based on Kernel Random Vector Functional Link Network. IJCNN 2020: 1-7 - [i7]Pratik K. Mishra, Chandan Gautam, Aruna Tiwari:
Minimum Variance Embedded Auto-associative Kernel Extreme Learning Machine for One-class Classification. CoRR abs/2011.12208 (2020)
2010 – 2019
- 2019
- [j14]Neha Bharill, Om Prakash Patel, Aruna Tiwari, Lifeng Mu, Dong-Lin Li, Manoranjan Mohanty, Omprakash Kaiwartya, Mukesh Prasad:
A Generalized Enhanced Quantum Fuzzy Approach for Efficient Data Clustering. IEEE Access 7: 50347-50361 (2019) - [j13]Om Prakash Patel, Neha Bharill, Aruna Tiwari, Vikram Patel, Ojas Gupta, Jian Cao, Jun Li, Mukesh Prasad:
Advanced Quantum Based Neural Network Classifier and Its Application for Objectionable Web Content Filtering. IEEE Access 7: 98069-98082 (2019) - [j12]Muhammad Tanveer, Aruna Tiwari, Rahul Choudhary, Sanchit Jalan:
Sparse pinball twin support vector machines. Appl. Soft Comput. 78: 164-175 (2019) - [j11]Harshit Bhardwaj, Aditi Sakalle, Arpit Bhardwaj, Aruna Tiwari:
Classification of electroencephalogram signal for the detection of epilepsy using Innovative Genetic Programming. Expert Syst. J. Knowl. Eng. 36(1) (2019) - [j10]Chandan Gautam, Aruna Tiwari, Muhammad Tanveer:
KOC+: Kernel ridge regression based one-class classification using privileged information. Inf. Sci. 504: 324-333 (2019) - [j9]Chandan Gautam, Ramesh Balaji, Sudharsan K, Aruna Tiwari, Kapil Ahuja:
Localized Multiple Kernel learning for Anomaly Detection: One-class Classification. Knowl. Based Syst. 165: 241-252 (2019) - [j8]Om Prakash Patel, Aruna Tiwari, Rishabh Chaudhary, Sai Vidyaranya Nuthalapati, Neha Bharill, Mukesh Prasad, Farookh Khadeer Hussain, Omar Khadeer Hussain:
Enhanced quantum-based neural network learning and its application to signature verification. Soft Comput. 23(9): 3067-3080 (2019) - [c37]Suchitra Agrawal, Aruna Tiwari, Ishan Goel:
Genetically Optimized Deep Neural Learning for Breast Cancer Prediction. SocProS (2) 2019: 127-139 - [i6]Chandan Gautam, Aruna Tiwari, Muhammad Tanveer:
Graph-Embedded Multi-layer Kernel Extreme Learning Machine for One-class Classification or (Graph-Embedded Multi-layer Kernel Ridge Regression for One-class Classification). CoRR abs/1904.06491 (2019) - [i5]Chandan Gautam, Aruna Tiwari, Muhammad Tanveer:
OCKELM+: Kernel Extreme Learning Machine based One-class Classification using Privileged Information (or KOC+: Kernel Ridge Regression or Least Square SVM with zero bias based One-class Classification using Privileged Information). CoRR abs/1904.08338 (2019) - 2018
- [j7]Neha Bharill, Om Prakash Patel, Aruna Tiwari:
Quantum-inspired evolutionary approach for selection of optimal parameters of fuzzy clustering. Int. J. Syst. Assur. Eng. Manag. 9(4): 875-887 (2018) - [c36]Animesh Chaturvedi, Aruna Tiwari:
SysEvoRecomd: Graph Evolution and Change Learning Based System Evolution Recommender. ICDM Workshops 2018: 1499-1500 - [c35]Chandan Gautam, Aruna Tiwari:
Localized Multiple Kernel Support Vector Data Description. ICDM Workshops 2018: 1514-1521 - [c34]Animesh Chaturvedi, Aruna Tiwari:
System Evolution Analytics: Deep Evolution and Change Learning of Inter-Connected Entities. SMC 2018: 3075-3080 - [c33]Animesh Chaturvedi, Aruna Tiwari:
System Evolution Analytics: Evolution and Change Pattern Mining of Inter-Connected Entities. SMC 2018: 3877-3882 - [c32]Vikas Chauhan, Aruna Tiwari:
On the Construction of Hierarchical Broad Learning Neural Network: An Alternative Way of Deep Learning. SSCI 2018: 182-188 - [c31]Chandan Gautam, Aruna Tiwari, Alexandros Iosifidis:
Minimum Variance-Embedded Multi-layer Kernel Ridge Regression for One-class Classification. SSCI 2018: 389-396 - [c30]Neha Mehra, Aruna Tiwari, Milind B. Ratnaparkhe, Neha Bharill:
A Computational Analysis of Protein Sequences for Cyclophilin Superfamily using Feature Extraction. SSCI 2018: 1953-1957 - [c29]Vishal Nemade, Aditya Shastri, Kapil Ahuja, Aruna Tiwari:
Scaled and Projected Spectral Clustering with Vector Quantization for Handling Big Data. SSCI 2018: 2174-2179 - [c28]Harshit Bhardwaj, Aditi Sakalle, Arpit Bhardwaj, Aruna Tiwari, Madhushi Verma:
Breast Cancer Diagnosis using Simultaneous Feature Selection and Classification: A Genetic Programming Approach. SSCI 2018: 2186-2192 - [i4]Chandan Gautam, Aruna Tiwari, Suresh Sundaram, Alexandros Iosifidis:
Multi-layer Kernel Ridge Regression for One-class Classification. CoRR abs/1805.07808 (2018) - [i3]Chandan Gautam, Ramesh Balaji, Sudharsan K, Aruna Tiwari, Kapil Ahuja:
Localized Multiple Kernel Learning for Anomaly Detection: One-class Classification. CoRR abs/1805.07892 (2018) - 2017
- [j6]Chandan Gautam, Aruna Tiwari, Qian Leng:
On the construction of extreme learning machine for online and offline one-class classification - An expanded toolbox. Neurocomputing 261: 126-143 (2017) - [j5]Amit Saxena, Mukesh Prasad, Akshansh Gupta, Neha Bharill, Om Prakash Patel, Aruna Tiwari, Meng Joo Er, Weiping Ding, Chin-Teng Lin:
A review of clustering techniques and developments. Neurocomputing 267: 664-681 (2017) - [i2]Chandan Gautam, Aruna Tiwari, Suresh Sundaram, Kapil Ahuja:
Online Learning with Regularized Kernel for One-class Classification. CoRR abs/1701.04508 (2017) - [i1]Chandan Gautam, Aruna Tiwari, Qian Leng:
On The Construction of Extreme Learning Machine for Online and Offline One-Class Classification - An Expanded Toolbox. CoRR abs/1701.04516 (2017) - 2016
- [j4]Arpit Bhardwaj, Aruna Tiwari, M. Ramesh Krishna, M. Vishaal Varma:
A novel genetic programming approach for epileptic seizure detection. Comput. Methods Programs Biomed. 124: 2-18 (2016) - [j3]Arpit Bhardwaj, Aruna Tiwari, Harshit Bhardwaj, Aditi Bhardwaj:
A genetically optimized neural network model for multi-class classification. Expert Syst. Appl. 60: 211-221 (2016) - [j2]Neha Bharill, Aruna Tiwari, Aayushi Malviya:
Fuzzy Based Scalable Clustering Algorithms for Handling Big Data Using Apache Spark. IEEE Trans. Big Data 2(4): 339-352 (2016) - [c27]Neha Bharill, Aruna Tiwari, Aayushi Malviya:
Fuzzy Based Clustering Algorithms to Handle Big Data with Implementation on Apache Spark. BigDataService 2016: 95-104 - [c26]Chandan Gautam, Aruna Tiwari, Sriram Ravindran:
Construction of multi-class classifiers by Extreme Learning Machine based one-class classifiers. IJCNN 2016: 2001-2007 - 2015
- [j1]Arpit Bhardwaj, Aruna Tiwari:
Breast cancer diagnosis using Genetically Optimized Neural Network model. Expert Syst. Appl. 42(10): 4611-4620 (2015) - [c25]Neha Bharill, Aruna Tiwari:
A Novel Technique of Feature Extraction Based on Local and Global Similarity Measure for Protein Classification. BIOINFORMATICS 2015: 219-224 - [c24]Om Prakash Patel, Neha Bharill, Aruna Tiwari:
A Quantum-Inspired Fuzzy based Evolutionary algorithm for data clustering. FUZZ-IEEE 2015: 1-8 - [c23]Arpit Bhardwaj, Aruna Tiwari, M. Vishaal Varma, M. Ramesh Krishna:
An Analysis of Integration of Hill Climbing in Crossover and Mutation operation for EEG Signal Classification. GECCO 2015: 209-216 - [c22]Om Prakash Patel, Aruna Tiwari:
Advance quantum based binary neural network learning algorithm. SNPD 2015: 81-86 - [c21]Om Prakash Patel, Aruna Tiwari, Vikram Patel, Ojas Gupta:
Quantum Based Neural Network Classifier and Its Application for Firewall to Detect Malicious Web Request. SSCI 2015: 67-74 - [c20]Neha Bharill, Om Prakash Patel, Aruna Tiwari:
An Enhanced Quantum-Inspired Evolutionary Fuzzy Clustering. SSCI 2015: 772-779 - 2014
- [c19]Arpit Bhardwaj, Aruna Tiwari, Dharmil Chandarana, Darshil Babel:
A genetically optimized neural network for classification of breast cancer disease. BMEI 2014: 693-698 - [c18]Om Prakash Patel, Aruna Tiwari:
Quantum Inspired Binary Neural Network Algorithm. ICIT 2014: 270-274 - [c17]Neha Bharill, Aruna Tiwari:
Enhanced cluster validity index for the evaluation of optimal number of clusters for Fuzzy C-Means algorithm. FUZZ-IEEE 2014: 1526-1533 - [c16]Arpit Bhardwaj, Aruna Tiwari, M. Vishaal Varma, M. Ramesh Krishna:
Classification of EEG signals using a novel genetic programming approach. GECCO (Companion) 2014: 1297-1304 - [c15]Om Prakash Patel, Aruna Tiwari:
Liver Disease Diagnosis Using Quantum-based Binary Neural Network Learning Algorithm. SocProS (2) 2014: 421-430 - 2013
- [c14]Arpit Bhardwaj, Aruna Tiwari:
Performance improvement in genetic programming using modified crossover and node mutation. GECCO (Companion) 2013: 1721-1722 - [c13]Arpit Bhardwaj, Aruna Tiwari:
A Novel Genetic Programming Based Classifier Design Using a New Constructive Crossover Operator with a Local Search Technique. ICIC (1) 2013: 86-95 - [c12]Neha Bharill, Aruna Tiwari:
Handling Big Data with Fuzzy Based Classification Approach. WCSC 2013: 219-227 - 2011
- [c11]Anuradha Purohit, Arpit Bhardwaj, Aruna Tiwari, Narendra S. Chaudhari:
Handling the Problem of Code Bloating to Enhance the Performance of Classifier Designed Using Genetic Programming. IICAI 2011: 333-342 - [c10]Alpna Singh, Aruna Tiwari, Sujata Naegi:
Fuzzy Rough Set Approach Based Classifier. SEMCCO (1) 2011: 550-558 - [c9]Neha Bharill, Aruna Tiwari:
Multi-class Classification Using an Improved Multiobjective Simultaneous Learning Framework. SocProS (2) 2011: 821-831 - 2010
- [c8]Anuradha Purohit, Narendra S. Chaudhari, Aruna Tiwari:
Construction of classifier with feature selection based on genetic programming. IEEE Congress on Evolutionary Computation 2010: 1-5 - [c7]Narendra S. Chaudhari, Aruna Tiwari, Jaya Thomas:
A novel SVM based approach for noisy data elemination. ICARCV 2010: 1760-1765 - [c6]Narendra S. Chaudhari, Aruna Tiwari:
Binary Neural Network Classifier and it's bound for the number of hidden layer neurons. ICARCV 2010: 2012-2017
2000 – 2009
- 2009
- [c5]Anuradha Purohit, Siddharth Jain, Surabhi Khandelwal, Aruna Tiwari, Narendra S. Chaudhari:
Improved Genetic Programming Based Multiclass Classifier Using a New Crossover Operator. IICAI 2009: 924-932 - [c4]Arvind Singh Chandel, Aruna Tiwari, Narendra S. Chaudhari:
Constructive Semi-Supervised Classification Algorithm and Its Implement in Data Mining. PReMI 2009: 62-67 - 2008
- [c3]Narendra S. Chaudhari, Anuradha Purohit, Aruna Tiwari:
A multiclass classifier using Genetic Programming. ICARCV 2008: 1884-1887 - [c2]Narendra S. Chaudhari, Aruna Tiwari, Jaya Thomas:
Performance evaluation of SVM based semi-supervised classification algorithm. ICARCV 2008: 1942-1947 - 2007
- [c1]Narendra S. Chaudhari, Aruna Tiwari:
On Construction of Multi-class Binary Neural Networks. IICAI 2007: 372-388
Coauthor Index
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