activity
20052025
most citedIncreasing Average Period Lengths by Switching of Robust Chaos Maps in Finite Precision

59 citations · 263 across the 49 of their papers we have counts for

collaborators

50 papers

cs.LG2025

Predicting Stock Prices using Permutation Decision Trees and Strategic Trailing

Vishrut Ramraj, Nithin Nagaraj, Harikrishnan N B

In this paper, we explore the application of Permutation Decision Trees (PDT) and strategic trailing for predicting stock market movements and executing profitable trades in the In…

cs.LG2025

Chaotic Map based Compression Approach to Classification

Harikrishnan N B, Anuja Vats, Nithin Nagaraj +1

Modern machine learning approaches often prioritize performance at the cost of increased complexity, computational demands, and reduced interpretability. This paper introduces a no…

cs.LG2024

Causal Discovery and Classification Using Lempel-Ziv Complexity

Dhruthi, Nithin Nagaraj, Harikrishnan N B

Inferring causal relationships in the decision-making processes of machine learning algorithms is a crucial step toward achieving explainable Artificial Intelligence (AI). In this…

cs.LG2024

Random Heterogeneous Neurochaos Learning Architecture for Data Classification

Remya Ajai A S, Nithin Nagaraj

Inspired by the human brain's structure and function, Artificial Neural Networks (ANN) were developed for data classification. However, existing Neural Networks, including Deep Neu…

cs.LG2024★ 4 cited

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

Tanmay Ghosh, Nithin Nagaraj

The decision making involved behind the mode choice is critical for transportation planning. While statistical learning techniques like discrete choice models have been used tradit…

cs.IT2023

Compression Spectrum: Where Shannon meets Fourier

Aditi Kathpalia, Nithin Nagaraj

Signal processing and Information theory are two disparate fields used for characterizing signals for various scientific and engineering applications. Spectral/Fourier analysis, a…