S. H. Shabbeer Basha

According to our database, S. H. Shabbeer Basha authored at least 15 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Balancing Uncertainty and Diversity of Samples: Leveraging Diversity of Least, High Confidence Samples for Effective Active Learning.

Vipul Arya, S. H. Shabbeer Basha, Srikrishna U. N, Sunainha Vijay, Snehasis Mukherjee

CoRR, May, 2026

Are Candidate Models Really Needed for Active Learning?

Harshini Mridula Mohan, Maanya Manjunath, Vipul Arya, S. H. Shabbeer Basha, Nitin Cheekatla

Comput. Vis. Image Underst., 2026

2024

PRF: deep neural network compression by systematic pruning of redundant filters.

C. H. Sarvani, Mrinmoy Ghorai, S. H. Shabbeer Basha

Neural Comput. Appl., November, 2024

Target aware network architecture search and compression for efficient knowledge transfer.

S. H. Shabbeer Basha, Debapriya Tula, Sravan Kumar Vinakota, Shiv Ram Dubey

Multim. Syst., April, 2024

Deep Model Compression based on the Training History.

S. H. Shabbeer Basha, Mohammad Farazuddin, Viswanath Pulabaigari, Shiv Ram Dubey, Snehasis Mukherjee

Neurocomputing, March, 2024

2023

AdaInject: Injection-Based Adaptive Gradient Descent Optimizers for Convolutional Neural Networks.

Shiv Ram Dubey, S. H. Shabbeer Basha, Satish Kumar Singh, Bidyut Baran Chaudhuri

IEEE Trans. Artif. Intell., December, 2023

2022

HRel: Filter pruning based on High Relevance between activation maps and class labels.

C. H. Sarvani, Mrinmoy Ghorai, Shiv Ram Dubey, S. H. Shabbeer Basha

Neural Networks, 2022

An information-rich sampling technique over spatio-temporal CNN for classification of human actions in videos.

S. H. Shabbeer Basha, Viswanath Pulabaigari, Snehasis Mukherjee

Multim. Tools Appl., 2022

A Simple Hybrid Filter Pruning for Efficient Edge Inference.

S. H. Shabbeer Basha, Sheethal N. Gowda, Dakala Jayachandra

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

AutoTune: Automatically Tuning Convolutional Neural Networks for Improved Transfer Learning.

S. H. Shabbeer Basha, Sravan Kumar Vinakota, Viswanath Pulabaigari, Snehasis Mukherjee, Shiv Ram Dubey

Neural Networks, 2021

AutoFCL: automatically tuning fully connected layers for handling small dataset.

S. H. Shabbeer Basha, Sravan Kumar Vinakota, Shiv Ram Dubey, Viswanath Pulabaigari, Snehasis Mukherjee

Neural Comput. Appl., 2021

Curvature Injected Adaptive Momentum Optimizer for Convolutional Neural Networks.

Shiv Ram Dubey, S. H. Shabbeer Basha, Satish Kumar Singh, Bidyut Baran Chaudhuri

CoRR, 2021

2020

Impact of fully connected layers on performance of convolutional neural networks for image classification.

S. H. Shabbeer Basha, Shiv Ram Dubey, Viswanath Pulabaigari, Snehasis Mukherjee

Neurocomputing, 2020

AutoFCL: Automatically Tuning Fully Connected Layers for Transfer Learning.

S. H. Shabbeer Basha, Sravan Kumar Vinakota, Shiv Ram Dubey, Viswanath Pulabaigari, Snehasis Mukherjee

CoRR, 2020

2018

RCCNet: An Efficient Convolutional Neural Network for Histological Routine Colon Cancer Nuclei Classification.

S. H. Shabbeer Basha, Soumen Ghosh, Kancharagunta Kishan Babu, Shiv Ram Dubey, Viswanath Pulabaigari, Snehasis Mukherjee

Proceedings of the 15th International Conference on Control, 2018