Dr. Aruna Tiwari

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

Selected Publications:


  1. 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, 2021 In Press
  2. Chandan Gautam, Pratik Kumar Mishra, and Aruna Tiwari, Minimum Variance Embedded Auto-associative Kernel Extreme Learning Machine for One-class Classification, Neural Computing and Applications, 2021 In Press
  3. 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, 2021 In Press
  4. 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
  5. Suchitra Agrawal, Aruna Tiwari, Prathamesh Naik, and Arjun Srivastava, Improved Differential Evolution based on Multi-Armed Bandit for Multimodal Optimization Problems, Applied Intelligence, Springer, 2021 In Press
  6. 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
  7. 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
  8. 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
  9. 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, 2020 In Press
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. 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
  19. 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
  20. 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
  21. 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, 2019 In Press
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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
  34. 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