Aruna Tiwari

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 82

Top Venues

Publications

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) (2024)
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 (2024)
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) (2024)
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 (2024)
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) (2024)
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) (2024)
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)
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) (2023)
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) (2023)
Suchitra Agrawal, Aruna Tiwari, Bhaskar Yaduvanshi, Prashant Rajak
Differential evolution with nearest better clustering for multimodal multiobjective optimization. Appl. Soft Comput. 148 (2023)
Suchitra Agrawal, Aruna Tiwari, Bhaskar Yaduvanshi, Prashant Rajak
Feature subset selection using multimodal multiobjective differential evolution. Knowl. Based Syst. 265 (2023)
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) (2023)
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)
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)
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)
Mohammad Tanveer, Aruna Tiwari, Rahul Choudhary, M. A. Ganaie
Large-scale pinball twin support vector machines. Mach. Learn. 111 (10) (2022)
Animesh Chaturvedi, Aruna Tiwari, Nicolas Spyratos
System Network Analytics: Evolution and Stable Rules of a State Series. DSAA (2022)
Vikas Chauhan, Aruna Tiwari
Pairnorm based Graphical Convolution Network for zero-shot multi-label classification. Eng. Appl. Artif. Intell. 114 (2022)
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)
Animesh Chaturvedi, Aruna Tiwari, Nicolas Spyratos
System Network Analytics: Evolution and Stable Rules of a State Series. CoRR (2022)
Animesh Chaturvedi, Aruna Tiwari, Shubhangi Chaturvedi, Pietro Liò
System Neural Network: Evolution and Change Based Structure Learning. IEEE Trans. Artif. Intell. 3 (3) (2022)
Suchitra Agrawal, Aruna Tiwari
Solving multimodal optimization problems using adaptive differential evolution with archive. Inf. Sci. 612 (2022)
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) (2022)
Vikas Chauhan, Aruna Tiwari
Randomized neural networks for multilabel classification. Appl. Soft Comput. 115 (2022)
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 (2022)
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)
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)
Shatendra Singh, Aruna Tiwari
Enhanced Opposition Differential Evolution Algorithm for Multimodal Optimization. CoRR (2022)
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)
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)
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) (2021)
Rituraj, Aruna Tiwari, Santanu Chaudhury, Sanjay Singh, Sumeet Saurav
Video Classification using SlowFast Network via Fuzzy rule. FUZZ-IEEE (2021)
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) (2021)
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) (2021)
Animesh Chaturvedi, Aruna Tiwari, Nicolas Spyratos
minStab: Stable Network Evolution Rule Mining for System Changeability Analysis. IEEE Trans. Emerg. Top. Comput. Intell. 5 (2) (2021)
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) (2021)
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) (2021)
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)
Suchitra Agrawal, Aruna Tiwari, Prathamesh Naik, Arjun Srivastava
Improved differential evolution based on multi-armed bandit for multimodal optimization problems. Appl. Intell. 51 (11) (2021)
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) (2021)
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) (2021)
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 (2021)
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 (2020)
Animesh Chaturvedi, Aruna Tiwari
System Network Complexity: Network Evolution Subgraphs of System State Series. IEEE Trans. Emerg. Top. Comput. Intell. 4 (2) (2020)
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 (2020)
Chandan Gautam, Aruna Tiwari, Muhammad Tanveer
AEKOC+: Kernel Ridge Regression-Based Auto-Encoder for One-Class Classification Using Privileged Information. Cogn. Comput. 12 (2) (2020)
Animesh Chaturvedi, Aruna Tiwari, Shubhangi Chaturvedi
SysEvoRecomd: Network Reconstruction by Graph Evolution and Change Learning. IEEE Syst. J. 14 (3) (2020)
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)
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 (2020)
Vikas Chauhan, Aruna Tiwari, Shivvrat Arya
Multi-Label classifier based on Kernel Random Vector Functional Link Network. IJCNN (2020)
Pratik K. Mishra, Chandan Gautam, Aruna Tiwari
Minimum Variance Embedded Auto-associative Kernel Extreme Learning Machine for One-class Classification. CoRR (2020)
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) (2019)
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 (2019)
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)
Muhammad Tanveer, Aruna Tiwari, Rahul Choudhary, Sanchit Jalan
Sparse pinball twin support vector machines. Appl. Soft Comput. 78 (2019)
Suchitra Agrawal, Aruna Tiwari, Ishan Goel
Genetically Optimized Deep Neural Learning for Breast Cancer Prediction. SocProS (2) (2019)
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 (2019)
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 (2019)
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 (2019)
Chandan Gautam, Ramesh Balaji, Sudharsan K, Aruna Tiwari, Kapil Ahuja
Localized Multiple Kernel learning for Anomaly Detection: One-class Classification. Knowl. Based Syst. 165 (2019)
Chandan Gautam, Aruna Tiwari, Muhammad Tanveer
KOC+: Kernel ridge regression based one-class classification using privileged information. Inf. Sci. 504 (2019)
Chandan Gautam, Aruna Tiwari, Alexandros Iosifidis
Minimum Variance-Embedded Multi-layer Kernel Ridge Regression for One-class Classification. SSCI (2018)
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) (2018)
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)
Animesh Chaturvedi, Aruna Tiwari
System Evolution Analytics: Deep Evolution and Change Learning of Inter-Connected Entities. SMC (2018)
Animesh Chaturvedi, Aruna Tiwari
SysEvoRecomd: Graph Evolution and Change Learning Based System Evolution Recommender. ICDM Workshops (2018)
Neha Mehra, Aruna Tiwari, Milind B. Ratnaparkhe, Neha Bharill
A Computational Analysis of Protein Sequences for Cyclophilin Superfamily using Feature Extraction. SSCI (2018)
Chandan Gautam, Aruna Tiwari, Suresh Sundaram, Alexandros Iosifidis
Multi-layer Kernel Ridge Regression for One-class Classification. CoRR (2018)
Animesh Chaturvedi, Aruna Tiwari
System Evolution Analytics: Evolution and Change Pattern Mining of Inter-Connected Entities. SMC (2018)
Chandan Gautam, Aruna Tiwari
Localized Multiple Kernel Support Vector Data Description. ICDM Workshops (2018)
Vikas Chauhan, Aruna Tiwari
On the Construction of Hierarchical Broad Learning Neural Network: An Alternative Way of Deep Learning. SSCI (2018)
Vishal Nemade, Aditya Shastri, Kapil Ahuja, Aruna Tiwari
Scaled and Projected Spectral Clustering with Vector Quantization for Handling Big Data. SSCI (2018)
Chandan Gautam, Ramesh Balaji, Sudharsan K, Aruna Tiwari, Kapil Ahuja
Localized Multiple Kernel Learning for Anomaly Detection: One-class Classification. CoRR (2018)
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 (2017)
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 (2017)
Chandan Gautam, Aruna Tiwari, Suresh Sundaram, Kapil Ahuja
Online Learning with Regularized Kernel for One-class Classification. CoRR (2017)
Chandan Gautam, Aruna Tiwari, Qian Leng
On The Construction of Extreme Learning Machine for Online and Offline One-Class Classification - An Expanded Toolbox. CoRR (2017)
Arpit Bhardwaj, Aruna Tiwari, M. Ramesh Krishna, M. Vishaal Varma
A novel genetic programming approach for epileptic seizure detection. Comput. Methods Programs Biomed. 124 (2016)
Neha Bharill, Aruna Tiwari, Aayushi Malviya
Fuzzy Based Scalable Clustering Algorithms for Handling Big Data Using Apache Spark. IEEE Trans. Big Data 2 (4) (2016)
Neha Bharill, Aruna Tiwari, Aayushi Malviya
Fuzzy Based Clustering Algorithms to Handle Big Data with Implementation on Apache Spark. BigDataService (2016)
Arpit Bhardwaj, Aruna Tiwari, Harshit Bhardwaj, Aditi Bhardwaj
A genetically optimized neural network model for multi-class classification. Expert Syst. Appl. 60 (2016)
Chandan Gautam, Aruna Tiwari, Sriram Ravindran
Construction of multi-class classifiers by Extreme Learning Machine based one-class classifiers. IJCNN (2016)
Om Patel, Aruna Tiwari, Vikram Patel, Ojas Gupta
Quantum Based Neural Network Classifier and Its Application for Firewall to Detect Malicious Web Request. SSCI (2015)
Om Prakash Patel, Aruna Tiwari
Advance quantum based binary neural network learning algorithm. SNPD (2015)
Arpit Bhardwaj, Aruna Tiwari
Breast cancer diagnosis using Genetically Optimized Neural Network model. Expert Syst. Appl. 42 (10) (2015)
Om Prakash Patel, Neha Bharill, Aruna Tiwari
A Quantum-Inspired Fuzzy based Evolutionary algorithm for data clustering. FUZZ-IEEE (2015)
Neha Bharill, Aruna Tiwari
A Novel Technique of Feature Extraction Based on Local and Global Similarity Measure for Protein Classification. BIOINFORMATICS (2015)
Neha Bharill, Om Prakash Patel, Aruna Tiwari
An Enhanced Quantum-Inspired Evolutionary Fuzzy Clustering. SSCI (2015)
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)
Om Prakash Patel, Aruna Tiwari
Liver Disease Diagnosis Using Quantum-based Binary Neural Network Learning Algorithm. SocProS (2) (2014)
Om Prakash Patel, Aruna Tiwari
Quantum Inspired Binary Neural Network Algorithm. ICIT (2014)
Arpit Bhardwaj, Aruna Tiwari, M. Vishaal Varma, M. Ramesh Krishna
Classification of EEG signals using a novel genetic programming approach. GECCO (Companion) (2014)
Arpit Bhardwaj, Aruna Tiwari, Dharmil Chandarana, Darshil Babel
A genetically optimized neural network for classification of breast cancer disease. BMEI (2014)
Neha Bharill, Aruna Tiwari
Enhanced cluster validity index for the evaluation of optimal number of clusters for Fuzzy C-Means algorithm. FUZZ-IEEE (2014)
Neha Bharill, Aruna Tiwari
Handling Big Data with Fuzzy Based Classification Approach. WCSC (2013)
Arpit Bhardwaj, Aruna Tiwari
Performance improvement in genetic programming using modified crossover and node mutation. GECCO (Companion) (2013)
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)
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)
Alpna Singh, Aruna Tiwari, Sujata Naegi
Fuzzy Rough Set Approach Based Classifier. SEMCCO (1) (2011)
Neha Bharill, Aruna Tiwari
Multi-class Classification Using an Improved Multiobjective Simultaneous Learning Framework. SocProS (2) (2011)

Aruna Tiwari.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Aruna Tiwari