Remya Ajai A.S., Harikrishnan N B, Nithin Nagaraj, Analysis of logistic map based neurons in neurochaos learning architectures for data classification, Chaos, Solitons & Fractals, Volume 170, 2023, 113347, ISSN 0960-0779, https://doi.org/10.1016/j.chaos.2023.113347.
Deeksha Sethi, Nithin Nagaraj, Harikrishnan N B, "Neurochaos feature transformation for Machine Learning", Integration (Elsevier), Jan. 25, 2023. https://doi.org/10.1016/j.vlsi.2023.01.014.
Harikrishnan N B, Pranay SY, & Nithin Nagaraj. "Classification of SARS-CoV-2 viral genome sequences using Neurochaos Learning". Med Biol Eng Comput (2022). https://doi.org/10.1007/s11517-022-02591-3
Harikrishnan N B, Nithin Nagaraj, "When noise meets chaos: Stochastic resonance in Neurochaos Learning", Neural Networks, June 2021. ISSN 0893-6080. https://doi.org/10.1016/j.neunet.2021.06.025. (link to full text).
Harikrishnan N B, Aditi Kathpalia, Snehanshu Saha, Nithin Nagaraj, "ChaosNet: A chaos based artificial neural network architecture for classification", Chaos 29, 113125 (2019); https://doi.org/10.1063/1.5120831
Aditi Kathpalia, Harikrishnan N B, Nithin Nagaraj, "A hybrid Neurochaos Learning-Reservoir Computing architecture for prediction", Dynamic Days US 2023, Jan. 9, 2023. (POSTER-HNB) (link)
Harikrishnan N B, Diptendu Chatterjee, Nithin Nagaraj, "Revisiting the XOR problem using Neurochaos Learning", Conference on Nonlinear Systems and Dynamics 2022, IISER Pune, 16 December 2022. (ORAL-HNB)
Harikrishnan N B and Aditi Kathpalia and Nithin Nagaraj, "Causality Preserving Chaotic Transformation and Classification using Neurochaos Learning", Proceedings of Advances in Neural Information Processing Systems, NeurIPS 2022 (Eds.: Alice H. Oh and Alekh Agarwal and Danielle Belgrave and Kyunghyun Cho), 2022. (link) (Bytez-link)
Harikrishnan N B, Nithin Nagaraj, “Why does Neurochaos Learning work? The Role of Chaos and Noise in Neurochaos Learning”, 13th Conference on Nonlinear Systems & Dynamics (CNSD-2021), Sastra University (online), Dec. 22, 2021 (ORAL-HNB) (link).
Harikrishnan N B and Nithin Nagaraj, "Neurochaos Inspired Hybrid Machine Learning Architecture for Classification", IEEE International Conference on Signal Processing and Communication (SPCOM 2020), IISc. Bengaluru (Virtual Conference), July 20-23, 2020. (ORAL-HNB) (link)
Harikrishnan N B and Nithin Nagaraj, "A Novel Chaos Theory Inspired Neuronal Architecture", IEEE conference on Global Conference for Advancement in Technology (IEEE GCAT), Bengaluru, Oct. 18, 2019. (preprint)
Harikrishnan, N B, Vinayakumar, R., Soman, K. P., & Poornachandran, P. (2019). Time Split Based Pre-processing with a Data-Driven Approach for Malicious URL Detection. In Cybersecurity and Secure Information Systems (pp. 43-65). Springer, Cham.
Harikrishnan, N. B., & Soman, K. P. (2018, February). Detecting Ransomware using GURLS. In 2018 Second International Conference on Advances in Electronics, Computers and Communications (ICAECC) (pp. 1-6). IEEE. (LINK)
Harikrishnan, N. B., Vinayakumar, R., & Soman, K. P. A Machine Learning approach towards Phishing Email Detection. (LINK)
Vazhayil, A., Harikrishnan, N. B., Vinayakumar, R., & Soman, K. P. PED-ML: Phishing Email Detection Using Classical Machine Learning Techniques. (LINK)
Vinayan, V., Naveen, J. R., Harikrishnan, N. B., Anand Kumar, M., & Soman, K. P. AmritaNLP@ PAN-RusProfiling: Author Profiling using Machine Learning Techniques. (LINK)
Menon, V. V., Harikrishnan, N. B., Narayanan, G., & Niveditha, C. K. (2017, July). Comparative performance evaluation of transform coding in image pre-processing. In Ninth International Conference on Digital Image Processing (ICDIP 2017) (Vol. 10420, p. 1042048). International Society for Optics and Photonics. (LINK)
Predicting Stock Prices using Permutation Decision Trees and Strategic Trailing, arXiv:2504.12828 [cs.LG]
Chaotic Map based Compression Approach to Classification, arxiv.org/abs/2502.12302 [cs. LG]
Causal Discovery and Classification using Lempel-Ziv Complexity, arxiv.org/abs/2411.01881 [cs. LG] (stat.ME)
Permutation Decision Trees, arXiv:2306.02617v1 [cs.LG]
Neurochaos Feature Transformation and Classification for Imbalanced Learning, arXiv:2205.06742 [cs.NE]
Cause-Effect Preservation and Classification using Neurochaos Learning, arXiv:2201.12181v1 [cs.LG]
When Noise meets Chaos: Stochastic Resonance in Neurochaos Learning, arXiv:2102.01316 [q-bio.NC]
A Neurochaos Learning Architecture For Genome Classification, arXiv.2010.10995 [cs.NE]
ChaosNet: A Chaos based Artificial Neural Network Architecture for Classification, arXiv:1910.02423v1 [cs.LG]
A Novel Chaos Theory Inspired Neuronal Architecture, arXiv:1905.12601 [q-bio.NC]