Nithin Nagaraj

According to our database, Nithin Nagaraj authored at least 52 papers between 2004 and 2025.

Collaborative distances:

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

2025

Integrating Causality with Neurochaos Learning: Proposed Approach and Research Agenda.

Nanjangud C. Narendra, Nithin Nagaraj

CoRR, January, 2025

2024

Causal Discovery and Classification Using Lempel-Ziv Complexity.

Dhruthi, Nithin Nagaraj, Harikrishnan N. B

CoRR, 2024

Random Heterogeneous Neurochaos Learning Architecture for Data Classification.

Remya Ajai A S, Nithin Nagaraj

CoRR, 2024

Evaluating the Determinants of Mode Choice Using Statistical and Machine Learning Techniques in the Indian Megacity of Bengaluru.

Tanmay Ghosh, Nithin Nagaraj

CoRR, 2024

A Novel Backdoor Detection Approach Using Entropy-Based Measures.

Hema Karnam Surendrababu, Nithin Nagaraj

IEEE Access, 2024

2023

Neurochaos feature transformation for Machine Learning.

Deeksha Sethi, Nithin Nagaraj, Harikrishnan N. B.

Integr., May, 2023

Compression-Complexity Measures for Analysis and Classification of Coronaviruses.

Naga Venkata Trinath Sai Munagala, Prem Kumar Amanchi, Karthi Balasubramanian, Athira Panicker, Nithin Nagaraj

Entropy, January, 2023

Compression Spectrum: Where Shannon meets Fourier.

Aditi Kathpalia, Nithin Nagaraj

CoRR, 2023

To prune or not to prune : A chaos-causality approach to principled pruning of dense neural networks.

Rajan Sahu, Shivam Chadha, Nithin Nagaraj, Archana Mathur, Snehanshu Saha

CoRR, 2023

Kolam Simulation using Angles at Lattice Points.

Tulasi Bharathi, Shailaja D. Sharma, Nithin Nagaraj

CoRR, 2023

Permutation Decision Trees.

Harikrishnan N. B., Nithin Nagaraj

CoRR, 2023

2022

Classification of SARS-CoV-2 viral genome sequences using Neurochaos Learning.

Harikrishnan Nellippallil Balakrishnan, S. Y. Pranay, Nithin Nagaraj

Medical Biol. Eng. Comput., 2022

Granger Causality for Compressively Sensed Sparse Signals.

Aditi Kathpalia, Nithin Nagaraj

CoRR, 2022

Neurochaos Feature Transformation and Classification for Imbalanced Learning.

Deeksha Sethi, Nithin Nagaraj, Harikrishnan N. B.

CoRR, 2022

Cause-Effect Preservation and Classification using Neurochaos Learning.

Harikrishnan N. B., Aditi Kathpalia, Nithin Nagaraj

CoRR, 2022

Do Sentiment Indices Outperform Quantitative Indicators As Predictors For Cryptocurrency Prices?

Hemang Subramanian, Patricia Angle, Nithin Nagaraj

Proceedings of the 26th Pacific Asia Conference on Information Systems, 2022

Causality Preserving Chaotic Transformation and Classification using Neurochaos Learning.

Harikrishnan N. B., Aditi Kathpalia, Nithin Nagaraj

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fairly Constricted Multi-objective Particle Swarm Optimization.

Anwesh Bhattacharya, Snehanshu Saha, Nithin Nagaraj

Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021

When Noise meets Chaos: Stochastic Resonance in Neurochaos Learning.

Harikrishnan N. B., Nithin Nagaraj

Neural Networks, 2021

Causal discovery using compression-complexity measures.

Pranay S. Yadav, Nithin Nagaraj

J. Biomed. Informatics, 2021

Time-Reversibility, Causality and Compression-Complexity.

Aditi Kathpalia, Nithin Nagaraj

Entropy, 2021

Learning Generalized Causal Structure in Time-series.

Aditi Kathpalia, Keerti P. Charantimath, Nithin Nagaraj

CoRR, 2021

Problems with information theoretic approaches to causal learning.

Nithin Nagaraj

CoRR, 2021

Causal Analysis of Carnatic Music: A Preliminary Study.

Abhsihek Nandekar, Preeth Khona, Rajani M. B., Anindya Sinha, Nithin Nagaraj

CoRR, 2021

2020

ISCG: An Intelligent Sensing and Caption Generation System for Object Detection and Captioning Using Deep Learning.

Aahan Singh, Nithin Nagaraj, Srinidhi Hiriyannaiah, Lalit M. Patnaik

Int. J. Intell. Inf. Technol., 2020

A Neurochaos Learning Architecture for Genome Classification.

Harikrishnan N. B., Pranay S. Yadav, Nithin Nagaraj

CoRR, 2020

Neurochaos Inspired Hybrid Machine Learning Architecture for Classification.

Harikrishnan Nellippallil Harikrishnan, Nithin Nagaraj

Proceedings of the International Conference on Signal Processing and Communications, 2020

2019

Using cantor sets for error detection.

Nithin Nagaraj

PeerJ Comput. Sci., 2019

ChaosNet: A Chaos based Artificial Neural Network Architecture for Classification.

Harikrishnan Nellippallil Balakrishnan, Aditi Kathpalia, Snehanshu Saha, Nithin Nagaraj

CoRR, 2019

Evolution of Novel Activation Functions in Neural Network Training with Applications to Classification of Exoplanets.

Snehanshu Saha, Nithin Nagaraj, Archana Mathur, Rahul Yedida

CoRR, 2019

A Novel Chaos Theory Inspired Neuronal Architecture.

Harikrishnan N. B., Nithin Nagaraj

CoRR, 2019

A novel compression based neuronal architecture for memory encoding.

Aditi Kathpalia, Nithin Nagaraj

Proceedings of the 20th International Conference on Distributed Computing and Networking, 2019

2018

Data based intervention approach for Complexity-Causality measure.

Aditi Kathpalia, Nithin Nagaraj

PeerJ Prepr., 2018

2016

A Compression-Complexity Measure of Integrated Information.

Mohit Virmani, Nithin Nagaraj

CoRR, 2016

Dynamical Complexity Of Short and Noisy Time Series.

Nithin Nagaraj, Karthi Balasubramanian

CoRR, 2016

Compressed Shattering.

Harikumar Kannampillil, Anand Krishnadas Nambisan, Sandra Kizhakkekundil, Shreeja Sugathan, Nithin Nagaraj

CoRR, 2016

Neural signal multiplexing via compressed sensing.

Nithin Nagaraj, K. R. Sahasranand

Proceedings of the 2016 International Conference on Signal Processing and Communications (SPCOM), 2016

2013

Lossless Data Compression with Error Detection using Cantor Set.

Nithin Nagaraj

CoRR, 2013

2011

Huffman Coding as a nonlinear Dynamical System.

Nithin Nagaraj

Int. J. Bifurc. Chaos, 2011

Lossless Compression and Complexity of Chaotic Sequences

Nithin Nagaraj, Mathew Shaji Kavalekalam, Arjun Venugopal T., Nithin Krishnan

CoRR, 2011

2010

Sharing Graphs

K. R. Sahasranand, Nithin Nagaraj

CoRR, 2010

How not to share a set of secrets

K. R. Sahasranand, Nithin Nagaraj, S. Rajan

CoRR, 2010

2008

Re-visiting the One-Time Pad.

Nithin Nagaraj, Vivek Vaidya, Prabhakar G. Vaidya

Int. J. Netw. Secur., 2008

One-Time Pad, Arithmetic Coding and Logic Gates: An unifying theme using Dynamical Systems

Nithin Nagaraj, Prabhakar G. Vaidya

CoRR, 2008

2007

CxCxC: compressed connected components labeling algorithm.

Nithin Nagaraj, Shekhar Dwivedi

Proceedings of the Medical Imaging 2007: Image Processing, 2007

2006

The B-Exponential Map: A Generalization of the Logistic Map, and Its Applications In Generating Pseudo-random Numbers

Mahesh C. Shastry, Nithin Nagaraj, Prabhakar G. Vaidya

CoRR, 2006

2005

On the use of lossless integer wavelet transforms in medical image segmentation.

Nithin Nagaraj, Yogish Mallya

Proceedings of the Medical Imaging 2005: Image Processing, 2005

Implicit function-based phantoms for evaluation of registration algorithms.

Girish Gopalakrishnan, Timothy Poston, Nithin Nagaraj, Rakesh Mullick, Jérôme F. Knoplioch

Proceedings of the Medical Imaging 2005: Image Processing, 2005

2004

Efficient, low-complexity image coding with a set-partitioning embedded block coder.

William A. Pearlman, Asad Islam, Nithin Nagaraj, Amir Said

IEEE Trans. Circuits Syst. Video Technol., 2004

Block-based embedded color image and video coding.

Nithin Nagaraj, William A. Pearlman, Asad Islam

Proceedings of the Visual Communications and Image Processing 2004, 2004

Automatic partitioning of head CTA for enabling segmentation.

Srikanth Suryanarayanan, Rakesh Mullick, Yogish Mallya, Vidya Kamath, Nithin Nagaraj

Proceedings of the Medical Imaging 2004: Image Processing, 2004

Zero-distortion lossless data embedding.

Nithin Nagaraj, Rakesh Mullick

Proceedings of the Medical Imaging 2004: Image Processing, 2004