Bharat Richhariya, Rakshit Gupta, M. Tanveer, and Amir Hussain (2026). Graph convolutional networks for diagnosis of Alzheimer’s disease: a review, Elsevier Book on Deep Learning Assessment of Neurological Imaging, Elsevier.
M.A. Ganaie, M. Tanveer (2022). Energy-based least squares projection twin SVM, Advanced Machine Intelligence and Signal Processing, Lecture Notes in Electrical Engineering 858, Springer.
M.A. Ganaie, M. Tanveer (2022). EEG signal classification using robust energy based least squares projection twin support vector machines, IET Book on Medical Information Processing and Security: Techniques and Applications.
M.A. Ganaie, M. Tanveer (2020). Robust general twin support vector machines with pinball loss, Springer Book on Machine Learning for Intelligent Multimedia Analytics: Techniques and Applications.
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.
Books
T. Goel, M. Tanveer, A. Hussain, Zai Hussain (2026). Deep Learning Assessment of Neurological Imaging, Elsevier. ISBN: 978-0-443-30291-6.
M. Tanveer, S. Agarwal, S. Ozawa, A. Ekbal, A. Jatowt (2023). Neural Information Processing, Springer [7 Volumes: LNCS-3, CCIS-4].
Mufti Mahmud, Maryam Doborjeh, Kevin Wong, Andrew Chi Sing Leung, Zohreh Doborjeh, M. Tanveer (2024). Neural Information Processing, Springer [28 Volumes: LNCS-11, CCIS-17].
DS Sisodia, L. Garg, RB Pachori, M. Tanveer (2022). Machine Intelligence Techniques for Data Analysis and Signal Processing - Proceedings of the 4th International Conference MISP 2022, Lecture Notes in Electrical Engineering, Springer.
D. Gupta, S. Banerjee, R.S. Goswami, M. Tanveer and R.B. Pachori (Eds.). (2021). Pattern Recognition and Data Analysis with Applications, Lecture Notes in Electrical Engineering, Springer, https://link.springer.com/book/9789811915192 ISBN: 978-981-19-1520-8.
M. Tanveer and R.B. Pachori (Eds.). (2019). Machine Intelligence and Signal Analysis (Vol. 748). Springer, https://link.springer.com/book/10.1007/978-981-13-0923-6
