Dr. Aruna Tiwari

Professor
Department of Computer Science and Engineering,
Indian Institute of Technology Indore
E-mail: artiwari@iiti.ac.in


Selected Publications:

Journals:

  1. Achint Kumar, Aruna Tiwari, Rajesh Dwivedi, and Preeti Jha A Scalable method for extracting features using a complex network from SNP sequences and clustering using the Scalable Max of Min Algorithm. Soft Computing, Springer, Volume --, 2024 (SCI Impact Factor 3.1) (Accepted).
  2. Ananya Roy, Aruna Tiwari, Sanjay Singh, and Sumeet Saurav Enhancing skeleton-based action recognition using a knowledge-driven shift graph convolutional network. Computers and Electrical Engineering, Elsevier, Volume 120, 2024 (SCI Impact Factor 4.0).
  3. Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind Ratnaparkhe and Alok Kumar Tiwari A taxonomy of unsupervised feature selection methods including their pros, cons, and challenges, The Journal of Supercomputing, Sptinger, 2024 (SCI Impact Factor 2.5) .
  4. Rituraj Singh, Anikeit Sethi, Krishanu Saini, Sumeet Saurav, Aruna Tiwari, and Sanjay Singh CVAD-GAN: Constrained video anomaly detection via generative adversarial network, Image and Vision Computing, Elsevier, pp. 1-14, 2024 (SCI Impact Factor 4.7).
  5. Rituraj Singh, Anikeit Sethi, Krishanu Saini, Sumeet Saurav, Aruna Tiwari, and Sanjay Singh Attention-guided Generator with Dual Discriminator GAN for Real-time Video Anomaly Detection, Engineering Applications of Artificial Intelligence, Elsevier, Vol. 131, Article Number 107830, pp. 1-14, 2024 (SCI Impact Factor 8.0).
  6. Suchitra Agrawal, Aruna Tiwari, Bhaskar Yaduvanshi, and Prashant Rajak Differential evolution with nearest better clustering for multimodal multiobjective optimization, Applied Soft Computing, Elsevier, vol. 148, pp 110852, 2023.
  7. Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind Ratnaparkhe, Rishabh Soni, Rahul Mahbubani and Saket Kumar An incremental clustering method based on multiple objectives for dynamic data analysis, Multimedia Tools and Applications, Springer, 2023 (In Press).
  8. Rituraj Singh, Anikeit Sethi, Krishanu Saini, Sumeet Saurav, Aruna Tiwari, and Sanjay Singh VALD-GAN: Video Anomaly detection using Latent Discriminator augmented GAN, Applied Intelligence, Springer, 2023.
  9. Rituraj, Krishanu Saini, Anikeit Sethi, Aruna Tiwari, Sumeet Saurav, and Sanjay Singh STemGAN: Spatio-Temporal Generative Adversarial Network for Video Anomaly detection, Signal, Image and Video Processing, Springer, 2023.
  10. Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, Milind Ratnaparkhe, Parul Mogre, Pranjal Gadge, and Kethavath Jagadeesh A novel apache spark-based 14-dimensional scalable feature extraction approach for the clustering of genomics data, The Journal of Supercomputing, Springer, 2023 (In Press).
  11. Rajesh Dwivedi, Aruna Tiwari, Neha Bharill, and Milind Ratnaparkhe A Novel Clustering-Based Hybrid Feature Selection Approach Using Ant Colony Optimization, Arabian Journal for Science and Engineering, Springer, vol. 48, pp. 10727-10744, 2023.
  12. Suchitra Agrawal, Aruna Tiwari, Bhaskar Yaduvanshi, and Prashant Rajak Feature Subset Selection using Multimodal Multiobjective Differential Evolution, Knowledge-Based Systems, Elsevier, vol. 265, pp. 110361, 2023.
  13. Preeti Jha, Aruna Tiwari, Neha Bharill, Milind Ratnaparkhe, Om Prakash Patel, Nilagiri Harshith, Mukkamalla Mounika, and Neha Nagendra, Apache Spark-based scalable feature extraction approaches for protein sequence and their clustering performance analysis, International Journal of Data Science and Analytics, Springer, pp 1-20, 2023
  14. Vikas Chauhan, Aruna Tiwari, Boppudi Venkata, and Vislavath Naik, Tackling over-smoothing in multi-label image classification using graphical convolution neural network, Evolving Systems, Springer, 2022 (In Press)
  15. Suchitra Agrawal and Aruna Tiwari, Solving multimodal optimization problems using adaptive differential evolution with archive , Information Sciences, Elsevier, vol. 612, pp. 1024-1044, 2022
  16. Vikas Chauhan and Aruna Tiwari, Pairnorm based Graphical Convolution Network for zero-shot multi-label classification, Engineering Applications of Artificial Intelligence, Elsevier, vol. 114, pp 105012, 2022
  17. Vikas Chauhan and Aruna Tiwari, Randomized neural networks for multilabel classification, Applied Soft Computing, Elsevier, vol. 115, pp 108184, 2022
  18. Animesh Chaturvedi, Aruna Tiwari, Shubhangi Chaturvedi, Pietro Lio, System Neural Network: Evolution and Change based Structure Learning, IEEE Transactions on Artificial Intelligence, vol. 3(3), pp. 426-435, 2022
  19. Vikas Chauhan, Aruna Tiwari,Niranjan Joshi,and Sahaj Khandelwal, Multi-label classifier for protein sequence using heuristic-based deep convolution neural network, Applied Intelligence, Springer, vol. 52, pp. 2820-2837, 2022
  20. M. Tanveer, Aruna Tiwari, Rahul Choudhary, and Mudasir Ahmad Ganaie, Large-scale pinball twin support vector machines, Machine Learning, Springer, vol. 111, pp. 3525-3548, 2022
  21. Pratik Kumar Mishra, Chandan Gautam, and Aruna Tiwari, Minimum Variance Embedded Auto-associative Kernel Extreme Learning Machine for One-class Classification, Neural Computing and Applications, vol. 33, pp 12973-12987, 2021
  22. Preeti Jha, Aruna Tiwari, Neha Bharill, Milind Ratnaparkhe, Mukkamalla Mounika, and Neha Nagendra, A Novel Scalable Kernelized Fuzzy Clustering Algorithm Based on In-Memory Computation for Handling Big Data, IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 5(6), pp. 908-919, 2021.
  23. Om Prakash Patel, Neha Bharill, Aruna Tiwari, and Mukesh Prasad, A Novel Quantum-inspired Fuzzy Based Neural Network for Data Classification, IEEE Transactions on emerging topics in Computing, vol. 9(2), pp. 1031-1044, 2021.
  24. Preeti Jha, Aruna Tiwari, Neha Bharill, Milind Ratnaparkhe, Mukkamalla Mounika, and Neha Nagendra, Scalable Incremental Fuzzy Consensus Clustering Algorithm for Handling Big Data, Soft Computing, Springer, vol. 25, pp. 8703-8719, 2021.
  25. Preeti Jha, Aruna Tiwari, Neha Bharill, Milind Ratnaparkhe, Mukkamalla Mounika, and Neha Nagendra, Apache Spark Based Kernelized Fuzzy Clustering Framework for Single Nucleotide Polymorphism Sequence Analysis, Computational Biology and Chemistry, Elsevier, vol. 92, pp. 107454, 2021
  26. Suchitra Agrawal, Aruna Tiwari, Prathamesh Naik, and Arjun Srivastava, Improved Differential Evolution based on Multi-Armed Bandit for Multimodal Optimization Problems, Applied Intelligence, Springer, vol. 51, pp. 7625-7646, 2021.
  27. Animesh Chaturvedi, Aruna Tiwari, Dave Binkley, and Shubhangi Chaturvedi, Service Evolution Analytics: Change and Evolution Mining of a Distributed System , IEEE Transactions on Engineering Management, vol. 68, pp. 137-148, 2021
  28. Chandan Gautam, Aruna Tiwari, Pratik Kumar Mishra, Suresh Sundaram, Alexandros Iosifidis, and M. Tanveer, Graph-embedded multi-layer kernel ridge regression for one-class classification, Cognitive Computation,vol. 13, pp.552-569, 2021
  29. Animesh Chaturvedi, Aruna Tiwari, and Shubhangi Chaturvedi, SysEvoRecomd: Network Reconstruction by Graph Evolution and Change Learning, IEEE Systems Journal, vol. 14(3), pp. 4007-4014, 2020
  30. Siddharth Gupta, Salim Ullah, Kapil Ahuja, Aruna Tiwari, and Akash Kumar, ALigN: A Highly Accurate Adaptive Layerwise Log 2 Lead Quantization of Pre-trained Neural Networks, IEEE Access, vol. 8, pp. 118899-118911, 2020
  31. Neha Bharill, Aruna Tiwari, Aayushi Malviya, Om Prakash Patel, Akahansh Gupta, Deepak Puthal, Amit Saxena, and Mukesh Prasad, Fuzzy knowledge based performance analysis on big data , Neurocomputing, Elsevier, vol. 389, pp. 218-228, 2020
  32. Animesh Chaturvedi and Aruna Tiwari, System Network Complexity: Network Evolution Subgraphs of System State Series , IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 4(2), pp. 130-139, 2020
  33. Chandan Gautam, Aruna Tiwari, and M. Tanveer, AEKOC+: Kernel Ridge Regression-based Auto-Encoder for One-class Classification using Privileged Information , Cognitive Computation, Springer, vol. 12, pp. 412-425, 2020
  34. Chandan Gautam, Pratik Kumar Mishra, Aruna Tiwari, Bharat Richhariya, H.M. Pandey, S. Wang, and M. Tanveer, Minimum Variance-Embedded Deep Kernel Regularized Least Square Method for One-class Classification and Its Applications to Biomedical Data, Neural Networks, Elsevier, vol. 123, pp. 191-216, 2020
  35. Vikas Chauhan, Raghvendra Gaur, Aruna Tiwari, and Anupam Shukla, Real-time BigData and Predictive Analytical Architecture for healthcare application, sadhana, Springer , vol. 44, pp. 1-12, 2019
  36. Chandan Gautam, Aruna Tiwari, and M. Tanveer, KOC+: Kernel Ridge Regression based One-class Classification using Privileged Information , Information Sciences, Elsevier, vol. 504, pp. 324-333, 2019
  37. Om Prakash Patel, Neha Bharill, Aruna Tiwari, Vikram Patel, O. Gupta, Jian Cao, J. Lin, and Mukesh Prasad, Advanced Quantum based Neural Network Classifier and its Application for Objectionable Web Content Filtering, IEEE Access, vol. 7, pp. 98069-98082, 2019
  38. Neha Bharill , Om Prakash Patel , Aruna Tiwari , Lifeng Mu, Dong-Lin Li , Manoranjan Mohanty, Omprakash Kaiwartya, and Mukesh Prasad, A Generalized Enhanced Quantum Fuzzy Approach for Efficient Data Clustering, IEEE Access, vol. 7, pp. 50347-50361, 2019
  39. Chandan Gautam, Aruna Tiwari, Sundaram Suresh, and Kapil Ahuja , Adaptive Online Learning With Regularized Kernel for One-Class Classification, IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 51(3), pp. 1917-1932, 2019
  40. Animesh Chaturvedi , Aruna Tiwari, and Nicolas Spyratos, minStab: Stable Network Evolution Rule Mining for System Changeability Analysis , IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 5(2), pp. 274-283, 2019
  41. Chandan Gautam, Ramesh Balaji, Sudharsan K. , Aruna Tiwari, and Kapil Ahuja, Localized Multiple Kernel learning for Anomaly Detection: One-class Classification , Knowledge-Based Systems, vol. 165, pp. 241-252, 2019
  42. M. Tanveer, Aruna Tiwari, Rahul Chaudhary, and Sanchit Jalan, Sparse Pinball Twin Support Vector Machines, Applied Soft Computing, Elsevier, vol. 78, pp. 164-175, 2019
  43. Neha Bharill, Aruna Tiwari, Ayushi Malviya, and Milind Ratnaparkhe, Protein Superfamily Classification Using a Novel Three Stage Feature Extraction Approach , International Journal of Computational Intelligence and Applications, 2018 In Press
  44. Harshit Bhardwaj, Aditi Sakalle, Arpit Bhardwaj, and Aruna Tiwari, Classification of electroencephalogram signal for the detection of epilepsy using Innovative Genetic Programming , Wiley Expert System, vol. 36(1), pp. 1-14, 2018
  45. Om Prakash Patel, Aruna Tiwari, and Vinay Bagade, Quantum inspired Stacked Auto-encoder based Deep Neural Network Algorithm (Q-DNN), Arabian Journal for Science and Engineering, vol. 43(12), pp. 6929-6943, 2018
  46. Om Prakash Patel, Aruna Tiwari, Rishabh Chaudhary, Sai Vidyaranya Nuthalapati, Neha Bharill, Mukesh Prasad, Farookh Khadeer Hussain, and Omar Khadeer Hussain, Enhanced Quantum Based Neural Network Learning and its Application to Signature Verification , Soft Computing, Springer, vol. 23(9), pp. 3067-3080, 2017
  47. Neha Bharill, Om Prakash Patel, and Aruna tiwari, Quantum-Inspired Evolutionary Approach for Selection of Optimal Parameters of Fuzzy Clustering, International Journal of System Assurance Engineering and Management, vol. 9(4), pp. 875-887, 2017
  48. Chandan Gautam and Aruna Tiwari, On the construction of extreme learning machine for online and offline one-class classification An expanded toolbox , Neurocomputing, May, vol. 261, pp. 126-143, 2017
  49. Neha Bharill, Aruna Tiwari, and Aayushi Malviya, Fuzzy Based Scalable Clustering Algorithms for Handling Big data using Apache Spark, IEEE Transactions on Big Data , vol. 2(4), pp. 339-352, 2016
  50. Om Prakash Patel and Aruna Tiwari, Novel Quantum Inspired Binary Neural Network Algorithm, Sadhana - Academy Proceedings in Engineering Sciences, Springer, vol. 41(11), pp. 1299-1309, 2016
  51. Arpit Bhardwaj and Aruna Tiwari, A Genetically Optimized Neural Network Model for Multi-class Classification , Expert Systems With Applications, Elsevier, Impact Factor 2.24 , vol. 60, pp. 211-221, 2016
  52. Arpit Bhardwaj, Aruna Tiwari, M. Vishaal Varma, and M. Ramesh Krishna , A Novel Genetic Programming Approach for Epileptic Seizure Detection , Elsevier Journal Computer methods and programs in biomedicine, vol. 124, pp. 2-18, 2016
  53. Arpit Bhardwaj and Aruna Tiwari, Breast cancer diagnosis using Genetically Optimized Neural Network model, Elsevier journal :Expert Systems with Applications, vol. 42, pp. 4611-4620, 2015