Publications
Journal Papers:
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
Conference Papers/ Presentations/ Posters
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)
arXiv Reports:
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]