Nithin Nagaraj

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 36

Top Topics

Granger Causality

Information Theoretic

Complexity Measures

Top Venues

PeerJ Comput. Sci.

Publications

Tanmay Ghosh, Nithin Nagaraj
Evaluating the Determinants of Mode Choice Using Statistical and Machine Learning Techniques in the Indian Megacity of Bengaluru. CoRR (2024)
Rajan Sahu, Shivam Chadha, Nithin Nagaraj, Archana Mathur, Snehanshu Saha
To prune or not to prune : A chaos-causality approach to principled pruning of dense neural networks. CoRR (2023)
Tulasi Bharathi, Shailaja D. Sharma, Nithin Nagaraj
Kolam Simulation using Angles at Lattice Points. CoRR (2023)
Aditi Kathpalia, Nithin Nagaraj
Compression Spectrum: Where Shannon meets Fourier. CoRR (2023)
Harikrishnan N. B., Nithin Nagaraj
Permutation Decision Trees. CoRR (2023)
Deeksha Sethi, Nithin Nagaraj, Harikrishnan N. B.
Neurochaos feature transformation for Machine Learning. Integr. 90 (2023)
Naga Venkata Trinath Sai Munagala, Prem Kumar Amanchi, Karthi Balasubramanian, Athira Panicker, Nithin Nagaraj
Compression-Complexity Measures for Analysis and Classification of Coronaviruses. Entropy 25 (1) (2023)
Harikrishnan Nellippallil Balakrishnan, S. Y. Pranay, Nithin Nagaraj
Classification of SARS-CoV-2 viral genome sequences using Neurochaos Learning. Medical Biol. Eng. Comput. 60 (8) (2022)
Anwesh Bhattacharya, Snehanshu Saha, Nithin Nagaraj
Fairly Constricted Multi-objective Particle Swarm Optimization. ICONIP (4) (2022)
Aditi Kathpalia, Nithin Nagaraj
Granger Causality for Compressively Sensed Sparse Signals. CoRR (2022)
Harikrishnan N. B., Aditi Kathpalia, Nithin Nagaraj
Cause-Effect Preservation and Classification using Neurochaos Learning. CoRR (2022)
Hemang Subramanian, Patricia Angle, Nithin Nagaraj
Do Sentiment Indices Outperform Quantitative Indicators As Predictors For Cryptocurrency Prices? PACIS (2022)
Deeksha Sethi, Nithin Nagaraj, Harikrishnan N. B.
Neurochaos Feature Transformation and Classification for Imbalanced Learning. CoRR (2022)
Harikrishnan N. B., Aditi Kathpalia, Nithin Nagaraj
Causality Preserving Chaotic Transformation and Classification using Neurochaos Learning. NeurIPS (2022)
Harikrishnan N. B., Nithin Nagaraj
When Noise meets Chaos: Stochastic Resonance in Neurochaos Learning. CoRR (2021)
Abhsihek Nandekar, Preeth Khona, Rajani M. B., Anindya Sinha, Nithin Nagaraj
Causal Analysis of Carnatic Music: A Preliminary Study. CoRR (2021)
Nithin Nagaraj
Problems with information theoretic approaches to causal learning. CoRR (2021)
Harikrishnan N. B., Nithin Nagaraj
When Noise meets Chaos: Stochastic Resonance in Neurochaos Learning. Neural Networks 143 (2021)
Aditi Kathpalia, Keerti P. Charantimath, Nithin Nagaraj
Learning Generalized Causal Structure in Time-series. CoRR (2021)
Aditi Kathpalia, Nithin Nagaraj
Time-Reversibility, Causality and Compression-Complexity. Entropy 23 (3) (2021)
Pranay SY, Nithin Nagaraj
Causal discovery using compression-complexity measures. J. Biomed. Informatics 117 (2021)
Aahan Singh, Nithin Nagaraj, Srinidhi Hiriyannaiah, Lalit M. Patnaik
ISCG: An Intelligent Sensing and Caption Generation System for Object Detection and Captioning Using Deep Learning. Int. J. Intell. Inf. Technol. 16 (4) (2020)
Harikrishnan Nellippallil Harikrishnan, Nithin Nagaraj
Neurochaos Inspired Hybrid Machine Learning Architecture for Classification. SPCOM (2020)
Pranay SY, Nithin Nagaraj
Causal Discovery using Compression-Complexity Measures. CoRR (2020)
Harikrishnan N. B., Pranay SY, Nithin Nagaraj
A Neurochaos Learning Architecture for Genome Classification. CoRR (2020)
Harikrishnan Nellippallil Balakrishnan, Aditi Kathpalia, Snehanshu Saha, Nithin Nagaraj
ChaosNet: A Chaos based Artificial Neural Network Architecture for Classification. CoRR (2019)
Harikrishnan N. B., Nithin Nagaraj
A Novel Chaos Theory Inspired Neuronal Architecture. CoRR (2019)
Nithin Nagaraj
Using cantor sets for error detection. PeerJ Comput. Sci. 5 (2019)
Snehanshu Saha, Nithin Nagaraj, Archana Mathur, Rahul Yedida
Evolution of Novel Activation Functions in Neural Network Training with Applications to Classification of Exoplanets. CoRR (2019)
Aditi Kathpalia, Nithin Nagaraj
Data-based intervention approach for Complexity-Causality measure. PeerJ Comput. Sci. 5 (2019)
Aditi Kathpalia, Nithin Nagaraj
A novel compression based neuronal architecture for memory encoding. ICDCN (2019)
Aditi Kathpalia, Nithin Nagaraj
Data based intervention approach for Complexity-Causality measure. PeerJ Prepr. 6 (2018)
Mohit Virmani, Nithin Nagaraj
A Compression-Complexity Measure of Integrated Information. CoRR (2016)
Harikumar Kannampillil, Anand Krishnadas Nambisan, Sandra Kizhakkekundil, Shreeja Sugathan, Nithin Nagaraj
Compressed Shattering. CoRR (2016)
Nithin Nagaraj, K. R. Sahasranand
Neural Signal Multiplexing via Compressed Sensing. CoRR (2016)
Nithin Nagaraj, Karthi Balasubramanian
Dynamical Complexity Of Short and Noisy Time Series. CoRR (2016)
Nithin Nagaraj
Lossless Data Compression with Error Detection using Cantor Set. CoRR (2013)
Nithin Nagaraj, Mathew Shaji Kavalekalam, Arjun Venugopal T., Nithin Krishnan
Lossless Compression and Complexity of Chaotic Sequences CoRR (2011)
Nithin Nagaraj
Huffman Coding as a nonlinear Dynamical System. Int. J. Bifurc. Chaos 21 (6) (2011)
K. R. Sahasranand, Nithin Nagaraj
Sharing Graphs CoRR (2010)
K. R. Sahasranand, Nithin Nagaraj, S. Rajan
How not to share a set of secrets CoRR (2010)
Nithin Nagaraj, Vivek Vaidya, Prabhakar G. Vaidya
Re-visiting the One-Time Pad. Int. J. Netw. Secur. 6 (1) (2008)
Nithin Nagaraj, Prabhakar G. Vaidya
One-Time Pad, Arithmetic Coding and Logic Gates: An unifying theme using Dynamical Systems CoRR (2008)
Nithin Nagaraj, Shekhar Dwivedi
CxCxC: compressed connected components labeling algorithm. Medical Imaging: Image Processing (2007)
Mahesh C. Shastry, Nithin Nagaraj, Prabhakar G. Vaidya
The B-Exponential Map: A Generalization of the Logistic Map, and Its Applications In Generating Pseudo-random Numbers CoRR (2006)
Nithin Nagaraj, Yogish Mallya
On the use of lossless integer wavelet transforms in medical image segmentation. Medical Imaging: Image Processing (2005)
Nithin Nagaraj, Vivek Vaidya, Prabhakar G. Vaidya
Re-visiting the One-Time Pad CoRR (2005)
Girish Gopalakrishnan, Timothy Poston, Nithin Nagaraj, Rakesh Mullick, Jérôme F. Knoplioch
Implicit function-based phantoms for evaluation of registration algorithms. Medical Imaging: Image Processing (2005)
Nithin Nagaraj, Rakesh Mullick
Zero-distortion lossless data embedding. Medical Imaging: Image Processing (2004)
Srikanth Suryanarayanan, Rakesh Mullick, Yogish Mallya, Vidya Kamath, Nithin Nagaraj
Automatic partitioning of head CTA for enabling segmentation. Medical Imaging: Image Processing (2004)
Nithin Nagaraj, William A. Pearlman, Asad Islam
Block-based embedded color image and video coding. VCIP (2004)
William A. Pearlman, Asad Islam, Nithin Nagaraj, Amir Said
Efficient, low-complexity image coding with a set-partitioning embedded block coder. IEEE Trans. Circuits Syst. Video Technol. 14 (11) (2004)