Funding Agencies

OPTImization for MAchine Learning ( OPTIMAL )

Research Group

Funding Agencies

Dr. M. Tanveer, SMIEEE


Associate Editor: IEEE SMC 2019.
Lead Guest Editor (Associate Editor): Special Issue of ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) (SCI Indexed with Impact Factor 2.87).
Lead Guest Editor (Associate Editor): Special Issue of Multimedia Tools and Applications, Springer (SCI Indexed with Impact Factor 2.1).

The OPTIMAL research group focusses on the following research problems:
- Optimization methods and models for non-parallel support vector machines
- Detection of human brain disorders using machine learning approaches
- On classification and predition of Alzheimer's disease using machine learning techniques
- Development of novel machine learning algorithms for automated detection of seizure using EEG signals
- Digital forensic knowledge integration and intelligence (DIREKT-Intel)

LATEST PUBLICATIONS

  • M. Tanveer, A. Tiwari, R. Choudhary, S. Jalan (2019), Sparse pinball twin support vector machines, Applied Soft Computing, Elsevier. [SCI Indexed with Impact Factor: 3.907]
  • M. Tanveer, B. Richhariya, R.U. Khan, A.H. Rashid, M. Prasad, P. Khanna, C.T. Lin (2019). Machine learning techniques for the diagnosis of Alzheimer's disease: A review, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM).
  • [SCI Indexed with Impact Factor: 2.87]
  • L Fang, Y Li, X Yun, Z Wen, S Ji, W Meng, Z Cao, M Tanveer (2019) THP: An SDN-based authentication scheme resistant to multiple attacks in IoT, IEEE Internet of Things Journal. [SCI Indexed with Impact Factor: 9.51]
  • C. Gautam, A. Tiwari, M. Tanveer (2019). KOC+: Kernel ridge regression-based one-class classification using privileged information, Information Sciences, Elsevier. [SCI Indexed with Impact Factor: 5.52]
  • M. Tanveer, C. Gautam, P.N. Suganthan (2019), Comprehensive evaluation of twin SVM based classifiers on UCI datasets, Applied Soft Computing, Elsevier. [SCI Indexed with Impact Factor: 4.87]
  • M. Tanveer, A. Sharma, P.N. Suganthan (2019), General twin support vector machine with pinball loss function, Information Sciences, Elsevier. [SCI Indexed with Impact Factor: 5.52]
  • B. Richhariya, M. Tanveer (2018), A robust fuzzy least squares twin support vector machine for class imbalance learning. Applied Soft Computing, Elsevier, 71:418-432. [SCI Indexed with Impact Factor: 3.907]
  • B. Richhariya, M. Tanveer (2018), EEG signal classification using universum support vector machine. Expert Systems with Applications, Elsevier, 106: 169-182. [SCI Indexed with Impact Factor: 3.928]

FUNDING AGENCIES

Funding Agencies

Click here to go to Discipline Of Mathematics, IIT Indore

All Rights Reserved - OPTIMAL RESEARCH GROUP , IIT INDORE

Site Developed By Dibyanshu Pranjal ( B. Tech )