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]
  • Eric-Juwei Cheng, Kuang-Pen Chou, Shantanu Rajora, Bo-Hao Jin, M. Tanveer, Chin-Teng Lin, Ku-Young Young, Wen-Chieh Lin, Mukesh Prasad (2019), Deep sparse representation classifier for facial recognition and detection system, Pattern Recognition Letters, Elsevier. [SCI Indexed with Impact Factor: 1.952]
  • B. Richhariya, M. Tanveer (2019) A fuzzy universum support vector machine based on information entropy. In: Tanveer M., Pachori R. (eds) Machine Intelligence and Signal Analysis. Advances in Intelligent Systems and Computing, vol 748. Springer, Singapore
  • M. Dalal, M. Tanveer, R.B. Pachori (2019) Automated identification system for focal EEG signals using fractal dimension of FAWT-based sub-bands signals. In: Tanveer M., Pachori R. (eds) Machine Intelligence and Signal Analysis. Advances in Intelligent Systems and Computing, vol 748. Springer, Singapore
  • 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]
  • Swastik Gupta, Konduri Hari Krishna, R.B. Pachori, M. Tanveer (2018), Fourier-Bessel series expansion based technique for automated classification of focal and non-focal EEG signals. International Joint Conferences on Neural Network (IJCNN), July 08-13, 2018, Rio, Brazil [Core Rank: A].

FUNDING AGENCIES

Funding Agencies

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