Aruna Tiwari
Orcid: 0000-0002-0394-0327
According to our database1,
Aruna Tiwari
authored at least 100 papers
between 2007 and 2024.
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Bibliography
2024
An incremental clustering method based on multiple objectives for dynamic data analysis.
Multim. Tools Appl., April, 2024
A novel apache spark-based 14-dimensional scalable feature extraction approach for the clustering of genomics data.
J. Supercomput., February, 2024
Signal Image Video Process., February, 2024
2023
Appl. Intell., December, 2023
Differential evolution with nearest better clustering for multimodal multiobjective optimization.
Appl. Soft Comput., November, 2023
Tackling over-smoothing in multi-label image classification using graphical convolution neural network.
Evol. Syst., October, 2023
Apache Spark-based scalable feature extraction approaches for protein sequence and their clustering performance analysis.
Int. J. Data Sci. Anal., May, 2023
Knowl. Based Syst., April, 2023
Video Anomaly Latent Training GAN (VALT GAN): Enhancing Anomaly Detection Through Latent Space Mining.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
A Novel Feature Extraction Approach for the Clustering and Classification of Genome Sequences.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023
2022
IEEE Trans. Artif. Intell., 2022
Solving multimodal optimization problems using adaptive differential evolution with archive.
Inf. Sci., 2022
Pairnorm based Graphical Convolution Network for zero-shot multi-label classification.
Eng. Appl. Artif. Intell., 2022
CoRR, 2022
A Novel Scalable Apache Spark Based Feature Extraction Approaches for Huge Protein Sequence and their Clustering Performance Analysis.
CoRR, 2022
Multi-label classifier for protein sequence using heuristic-based deep convolution neural network.
Appl. Intell., 2022
High-Performance Computing based Scalable Online Fuzzy Clustering Algorithms for Big Data.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
HPC Based Scalable Logarithmic Kernelized Fuzzy Clustering Algorithms for Handling Big Data.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
A Hybrid Feature Selection Approach for Data Clustering Based on Ant Colony Optimization.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022
HPC enabled a Novel Deep Fuzzy Scalable Clustering Algorithm and its Application for Protein Data.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022
A Novel Scalable Feature Extraction Approach for COVID-19 Protein Sequences and their Cluster Analysis with Kernelized Fuzzy Algorithm.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2022
2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
A Novel Scalable Kernelized Fuzzy Clustering Algorithms Based on In-Memory Computation for Handling Big Data.
IEEE Trans. Emerg. Top. Comput. Intell., 2021
IEEE Trans. Emerg. Top. Comput. Intell., 2021
IEEE Trans. Emerg. Top. Comput., 2021
IEEE Trans. Engineering Management, 2021
Soft Comput., 2021
Minimum variance embedded auto-associative kernel extreme learning machine for one-class classification.
Neural Comput. Appl., 2021
Cogn. Comput., 2021
Apache Spark based kernelized fuzzy clustering framework for single nucleotide polymorphism sequence analysis.
Comput. Biol. Chem., 2021
Improved differential evolution based on multi-armed bandit for multimodal optimization problems.
Appl. Intell., 2021
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021
Scalable Fuzzy Clustering-based Regression to Predict the Isoelectric Points of the Plant Protein Sequences using Apache Spark.
Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021
2020
IEEE Trans. Emerg. Top. Comput. Intell., 2020
IEEE Syst. J., 2020
Minimum variance-embedded deep kernel regularized least squares method for one-class classification and its applications to biomedical data.
Neural Networks, 2020
AEKOC+: Kernel Ridge Regression-Based Auto-Encoder for One-Class Classification Using Privileged Information.
Cogn. Comput., 2020
ALigN: A Highly Accurate Adaptive Layerwise Log_2_Lead Quantization of Pre-Trained Neural Networks.
IEEE Access, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020
2019
Enhanced quantum-based neural network learning and its application to signature verification.
Soft Comput., 2019
Knowl. Based Syst., 2019
KOC+: Kernel ridge regression based one-class classification using privileged information.
Inf. Sci., 2019
Classification of electroencephalogram signal for the detection of epilepsy using Innovative Genetic Programming.
Expert Syst. J. Knowl. Eng., 2019
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
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
Advanced Quantum Based Neural Network Classifier and Its Application for Objectionable Web Content Filtering.
IEEE Access, 2019
IEEE Access, 2019
Proceedings of the Soft Computing for Problem Solving 2019, 2019
2018
Quantum-inspired evolutionary approach for selection of optimal parameters of fuzzy clustering.
Int. J. Syst. Assur. Eng. Manag., 2018
Scaled and Projected Spectral Clustering with Vector Quantization for Handling Big Data.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
A Computational Analysis of Protein Sequences for Cyclophilin Superfamily using Feature Extraction.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Minimum Variance-Embedded Multi-layer Kernel Ridge Regression for One-class Classification.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
On the Construction of Hierarchical Broad Learning Neural Network: An Alternative Way of Deep Learning.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Breast Cancer Diagnosis using Simultaneous Feature Selection and Classification: A Genetic Programming Approach.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
System Evolution Analytics: Evolution and Change Pattern Mining of Inter-Connected Entities.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
System Evolution Analytics: Deep Evolution and Change Learning of Inter-Connected Entities.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
SysEvoRecomd: Graph Evolution and Change Learning Based System Evolution Recommender.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
2017
On the construction of extreme learning machine for online and offline one-class classification - An expanded toolbox.
Neurocomputing, 2017
2016
IEEE Trans. Big Data, 2016
Expert Syst. Appl., 2016
Comput. Methods Programs Biomed., 2016
Construction of multi-class classifiers by Extreme Learning Machine based one-class classifiers.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Fuzzy Based Clustering Algorithms to Handle Big Data with Implementation on Apache Spark.
Proceedings of the Second IEEE International Conference on Big Data Computing Service and Applications, 2016
2015
Expert Syst. Appl., 2015
Quantum Based Neural Network Classifier and Its Application for Firewall to Detect Malicious Web Request.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
Proceedings of the 16th IEEE/ACIS International Conference on Software Engineering, 2015
An Analysis of Integration of Hill Climbing in Crossover and Mutation operation for EEG Signal Classification.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
A Novel Technique of Feature Extraction Based on Local and Global Similarity Measure for Protein Classification.
Proceedings of the BIOINFORMATICS 2015, 2015
2014
Liver Disease Diagnosis Using Quantum-based Binary Neural Network Learning Algorithm.
Proceedings of Fourth International Conference on Soft Computing for Problem Solving, 2014
Proceedings of the Genetic and Evolutionary Computation Conference, 2014
Enhanced cluster validity index for the evaluation of optimal number of clusters for Fuzzy C-Means algorithm.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014
Proceedings of the 2014 International Conference on Information Technology, 2014
Proceedings of the 7th International Conference on Biomedical Engineering and Informatics, 2014
2013
Proceedings of the Advance Trends in Soft Computing, 2013
A Novel Genetic Programming Based Classifier Design Using a New Constructive Crossover Operator with a Local Search Technique.
Proceedings of the Intelligent Computing Theories - 9th International Conference, 2013
Performance improvement in genetic programming using modified crossover and node mutation.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013
2011
Multi-class Classification Using an Improved Multiobjective Simultaneous Learning Framework.
Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011, 2011
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2011
Handling the Problem of Code Bloating to Enhance the Performance of Classifier Designed Using Genetic Programming.
Proceedings of the 5th Indian International Conference on Artificial Intelligence, 2011
2010
Proceedings of the 11th International Conference on Control, 2010
Binary Neural Network Classifier and it's bound for the number of hidden layer neurons.
Proceedings of the 11th International Conference on Control, 2010
Proceedings of the IEEE Congress on Evolutionary Computation, 2010
2009
Constructive Semi-Supervised Classification Algorithm and Its Implement in Data Mining.
Proceedings of the Pattern Recognition and Machine Intelligence, 2009
Improved Genetic Programming Based Multiclass Classifier Using a New Crossover Operator.
Proceedings of the 4th Indian International Conference on Artificial Intelligence, 2009
2008
Proceedings of the 10th International Conference on Control, 2008
Proceedings of the 10th International Conference on Control, 2008
2007
On Construction of Multi-class Binary Neural Networks.
Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007