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Sahu, Rajan and Chadha, Shivam and Mathur, Archana and Nagaraj, Nithin and Saha, Snehanshu (2025) A Chaos-Causality Approach to Principled Pruning of Dense Neural Networks. Chaos Theory and Applications, 7 (2). pp. 154-165.
Sampatrao, Gambhire Swati and Khetan, Anisha and Nagaraj, Nithin and Saha, Snehanshu and Dey, Sudeepa Roy and Mathur, Archana (2025) DiffusionScore: A Framework for Assessing Institutional Research Impact Through Influence Diffusion. IEEE Access, 13. pp. 115766-115779.
Saha, Snehanshu and Nagaraj, Nithin and Mathur, Archana and Yedida, Rahul and Sneha, H.R. (2020) Evolution of novel activation functions in neural network training of astronomy data: habitability classification of exoplanets. The European Physical Journal, 229 (16). pp. 2629-2738.
Harikrishnan, Nellippallil Balakrishnan and Kathpalia, Aditi and Saha, Snehanshu and Nagaraj, Nithin (2019) ChaosNet: A Chaos Based Artificial Neural Network Architecture for Classification. Chaos: An Interdisciplinary Journal of Non-linear Science, 29 (11). 113125-1-17.
Nagaraj, Nithin and Balasubramanian, Karthi (2017) Measuring Complexity of Chaotic Systems with Cybernetics Applications. In: Handbook of Research on Applied Cybernetics and Systems Science. Advances in Computational Intelligence and Robotics . IGI Global Information Science Reference, Hershey, PA, pp. 301-334. ISBN 9781522524984
