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Nithin Nagaraj
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2020 – today
- 2024
- [j13]Hema Karnam Surendrababu, Nithin Nagaraj:
A Novel Backdoor Detection Approach Using Entropy-Based Measures. IEEE Access 12: 114057-114072 (2024) - [i31]Tanmay Ghosh, Nithin Nagaraj:
Evaluating the Determinants of Mode Choice Using Statistical and Machine Learning Techniques in the Indian Megacity of Bengaluru. CoRR abs/2401.13977 (2024) - [i30]Remya Ajai A S, Nithin Nagaraj:
Random Heterogeneous Neurochaos Learning Architecture for Data Classification. CoRR abs/2410.23351 (2024) - [i29]Dhruthi, Nithin Nagaraj, Harikrishnan N. B:
Causal Discovery and Classification Using Lempel-Ziv Complexity. CoRR abs/2411.01881 (2024) - 2023
- [j12]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): 81 (2023) - [j11]Deeksha Sethi, Nithin Nagaraj, Harikrishnan N. B.:
Neurochaos feature transformation for Machine Learning. Integr. 90: 157-162 (2023) - [i28]Harikrishnan N. B., Nithin Nagaraj:
Permutation Decision Trees. CoRR abs/2306.02617 (2023) - [i27]Tulasi Bharathi, Shailaja D. Sharma, Nithin Nagaraj:
Kolam Simulation using Angles at Lattice Points. CoRR abs/2307.02144 (2023) - [i26]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 abs/2308.09955 (2023) - [i25]Aditi Kathpalia, Nithin Nagaraj:
Compression Spectrum: Where Shannon meets Fourier. CoRR abs/2309.11640 (2023) - 2022
- [j10]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): 2245-2255 (2022) - [c12]Anwesh Bhattacharya, Snehanshu Saha, Nithin Nagaraj:
Fairly Constricted Multi-objective Particle Swarm Optimization. ICONIP (4) 2022: 610-621 - [c11]Harikrishnan N. B., Aditi Kathpalia, Nithin Nagaraj:
Causality Preserving Chaotic Transformation and Classification using Neurochaos Learning. NeurIPS 2022 - [c10]Hemang Subramanian, Patricia Angle, Nithin Nagaraj:
Do Sentiment Indices Outperform Quantitative Indicators As Predictors For Cryptocurrency Prices? PACIS 2022: 293 - [i24]Harikrishnan N. B., Aditi Kathpalia, Nithin Nagaraj:
Cause-Effect Preservation and Classification using Neurochaos Learning. CoRR abs/2201.12181 (2022) - [i23]Deeksha Sethi, Nithin Nagaraj, Harikrishnan N. B.:
Neurochaos Feature Transformation and Classification for Imbalanced Learning. CoRR abs/2205.06742 (2022) - [i22]Aditi Kathpalia, Nithin Nagaraj:
Granger Causality for Compressively Sensed Sparse Signals. CoRR abs/2210.11420 (2022) - 2021
- [j9]Aditi Kathpalia, Nithin Nagaraj:
Time-Reversibility, Causality and Compression-Complexity. Entropy 23(3): 327 (2021) - [j8]Pranay S. Yadav, Nithin Nagaraj:
Causal discovery using compression-complexity measures. J. Biomed. Informatics 117: 103724 (2021) - [j7]Harikrishnan N. B., Nithin Nagaraj:
When Noise meets Chaos: Stochastic Resonance in Neurochaos Learning. Neural Networks 143: 425-435 (2021) - [i21]Harikrishnan N. B., Nithin Nagaraj:
When Noise meets Chaos: Stochastic Resonance in Neurochaos Learning. CoRR abs/2102.01316 (2021) - [i20]Abhsihek Nandekar, Preeth Khona, Rajani M. B., Anindya Sinha, Nithin Nagaraj:
Causal Analysis of Carnatic Music: A Preliminary Study. CoRR abs/2109.11782 (2021) - [i19]Nithin Nagaraj:
Problems with information theoretic approaches to causal learning. CoRR abs/2110.12497 (2021) - [i18]Aditi Kathpalia, Keerti P. Charantimath, Nithin Nagaraj:
Learning Generalized Causal Structure in Time-series. CoRR abs/2112.03085 (2021) - 2020
- [j6]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): 51-67 (2020) - [c9]Harikrishnan Nellippallil Harikrishnan, Nithin Nagaraj:
Neurochaos Inspired Hybrid Machine Learning Architecture for Classification. SPCOM 2020: 1-5 - [i17]Pranay S. Yadav, Nithin Nagaraj:
Causal Discovery using Compression-Complexity Measures. CoRR abs/2010.09336 (2020) - [i16]Harikrishnan N. B., Pranay S. Yadav, Nithin Nagaraj:
A Neurochaos Learning Architecture for Genome Classification. CoRR abs/2010.10995 (2020)
2010 – 2019
- 2019
- [j5]Nithin Nagaraj:
Using cantor sets for error detection. PeerJ Comput. Sci. 5: e171 (2019) - [j4]Aditi Kathpalia, Nithin Nagaraj:
Data-based intervention approach for Complexity-Causality measure. PeerJ Comput. Sci. 5: e196 (2019) - [c8]Aditi Kathpalia, Nithin Nagaraj:
A novel compression based neuronal architecture for memory encoding. ICDCN 2019: 365-370 - [i15]Harikrishnan N. B., Nithin Nagaraj:
A Novel Chaos Theory Inspired Neuronal Architecture. CoRR abs/1905.12601 (2019) - [i14]Snehanshu Saha, Nithin Nagaraj, Archana Mathur, Rahul Yedida:
Evolution of Novel Activation Functions in Neural Network Training with Applications to Classification of Exoplanets. CoRR abs/1906.01975 (2019) - [i13]Harikrishnan Nellippallil Balakrishnan, Aditi Kathpalia, Snehanshu Saha, Nithin Nagaraj:
ChaosNet: A Chaos based Artificial Neural Network Architecture for Classification. CoRR abs/1910.02423 (2019) - 2018
- [i12]Aditi Kathpalia, Nithin Nagaraj:
Data based intervention approach for Complexity-Causality measure. PeerJ Prepr. 6: e27416 (2018) - 2016
- [c7]Nithin Nagaraj, K. R. Sahasranand:
Neural signal multiplexing via compressed sensing. SPCOM 2016: 1-5 - [i11]Harikumar Kannampillil, Anand Krishnadas Nambisan, Sandra Kizhakkekundil, Shreeja Sugathan, Nithin Nagaraj:
Compressed Shattering. CoRR abs/1601.02200 (2016) - [i10]Nithin Nagaraj, K. R. Sahasranand:
Neural Signal Multiplexing via Compressed Sensing. CoRR abs/1601.03214 (2016) - [i9]Mohit Virmani, Nithin Nagaraj:
A Compression-Complexity Measure of Integrated Information. CoRR abs/1608.08450 (2016) - [i8]Nithin Nagaraj, Karthi Balasubramanian:
Dynamical Complexity Of Short and Noisy Time Series. CoRR abs/1609.01924 (2016) - 2013
- [i7]Nithin Nagaraj:
Lossless Data Compression with Error Detection using Cantor Set. CoRR abs/1308.2299 (2013) - 2011
- [j3]Nithin Nagaraj:
Huffman Coding as a nonlinear Dynamical System. Int. J. Bifurc. Chaos 21(6): 1727-1736 (2011) - [i6]Nithin Nagaraj, Mathew Shaji Kavalekalam, Arjun Venugopal T., Nithin Krishnan:
Lossless Compression and Complexity of Chaotic Sequences. CoRR abs/1101.4341 (2011) - 2010
- [i5]K. R. Sahasranand, Nithin Nagaraj, S. Rajan:
How not to share a set of secrets. CoRR abs/1001.1877 (2010) - [i4]K. R. Sahasranand, Nithin Nagaraj:
Sharing Graphs. CoRR abs/1009.2832 (2010)
2000 – 2009
- 2008
- [j2]Nithin Nagaraj, Vivek Vaidya, Prabhakar G. Vaidya:
Re-visiting the One-Time Pad. Int. J. Netw. Secur. 6(1): 94-102 (2008) - [i3]Nithin Nagaraj, Prabhakar G. Vaidya:
One-Time Pad, Arithmetic Coding and Logic Gates: An unifying theme using Dynamical Systems. CoRR abs/0803.0046 (2008) - 2007
- [c6]Nithin Nagaraj, Shekhar Dwivedi:
CxCxC: compressed connected components labeling algorithm. Image Processing 2007: 65123M - 2006
- [i2]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 abs/cs/0607069 (2006) - 2005
- [c5]Girish Gopalakrishnan, Timothy Poston, Nithin Nagaraj, Rakesh Mullick, Jérôme F. Knoplioch:
Implicit function-based phantoms for evaluation of registration algorithms. Image Processing 2005 - [c4]Nithin Nagaraj, Yogish Mallya:
On the use of lossless integer wavelet transforms in medical image segmentation. Image Processing 2005 - [i1]Nithin Nagaraj, Vivek Vaidya, Prabhakar G. Vaidya:
Re-visiting the One-Time Pad. CoRR abs/cs/0508079 (2005) - 2004
- [j1]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): 1219-1235 (2004) - [c3]Nithin Nagaraj, Rakesh Mullick:
Zero-distortion lossless data embedding. Image Processing 2004 - [c2]Srikanth Suryanarayanan, Rakesh Mullick, Yogish Mallya, Vidya Kamath, Nithin Nagaraj:
Automatic partitioning of head CTA for enabling segmentation. Image Processing 2004 - [c1]Nithin Nagaraj, William A. Pearlman, Asad Islam:
Block-based embedded color image and video coding. VCIP 2004
Coauthor Index
aka: Harikrishnan N. B.
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