:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Singh, Himanshi, Tiwari, Sadhana, Agarwal, Sonali, Chandra, Ritesh, Sonbhadra, Sanjay Kumar, Singh, Vrijendra
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2502.03965
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multimodal Data-Driven Classification of Mental Disorders: A Comprehensive Approach to Diagnosing Depression, Anxiety, and Schizophrenia
by: Singh, Himanshi, et al.
Published: (2025)

A Diagnosis and Treatment of Liver Diseases: Integrating Batch Processing, Rule-Based Event Detection and Explainable Artificial Intelligence
by: Chandra, Ritesh, et al.
Published: (2023)

Ontology-Based Knowledge Modeling and Uncertainty-Aware Outdoor Air Quality Assessment Using Weighted Interval Type-2 Fuzzy Logic
by: Inzmam, Md, et al.
Published: (2026)

A Review of Ontology-Driven Big Data Analytics in Healthcare: Challenges, Tools, and Applications
by: Chandra, Ritesh, et al.
Published: (2025)

Advanced Gesture Recognition for Autism Spectrum Disorder Detection: Integrating YOLOv7, Video Augmentation, and VideoMAE for Naturalistic Video Analysis
by: Singh, Amit Kumar, et al.
Published: (2024)

MLtoGAI: Semantic Web based with Machine Learning for Enhanced Disease Prediction and Personalized Recommendations using Generative AI
by: Dongre, Shyam, et al.
Published: (2024)

Fuzzy Rule based Intelligent Cardiovascular Disease Prediction using Complex Event Processing
by: Kumar, Shashi Shekhar, et al.
Published: (2024)

Leveraging Machine Learning for Early Autism Detection via INDT-ASD Indian Database
by: Shrivastava, Trapti, et al.
Published: (2024)

Real-Time Health Analytics Using Ontology-Driven Complex Event Processing and LLM Reasoning: A Tuberculosis Case Study
by: Chandra, Ritesh, et al.
Published: (2025)

OCEP: An Ontology-Based Complex Event Processing Framework for Healthcare Decision Support in Big Data Analytics
by: Chandra, Ritesh, et al.
Published: (2025)

A Multi-Level Causal Intervention Framework for Mechanistic Interpretability in Variational Autoencoders
by: Roy, Dip, et al.
Published: (2025)

A Review on Large Language Models for Visual Analytics
by: Agarwal, Navya Sonal, et al.
Published: (2025)

Rule based Complex Event Processing for an Air Quality Monitoring System in Smart City
by: Kumar, Shashi Shekhar, et al.
Published: (2024)

A Methodology-Oriented Study of Catastrophic Forgetting in Incremental Deep Neural Networks
by: Kumar, Ashutosh, et al.
Published: (2024)

Machine Learning Algorithms for Detecting Mental Stress in College Students
by: Singh, Ashutosh, et al.
Published: (2024)

Secure Generalization through Stochastic Bidirectional Parameter Updates Using Dual-Gradient Mechanism
by: Goel, Shourya, et al.
Published: (2025)

Fundamental Limits of Neural Network Sparsification: Evidence from Catastrophic Interpretability Collapse
by: Roy, Dip, et al.
Published: (2026)

Synthetic Combinations: A Causal Inference Framework for Combinatorial Interventions
by: Agarwal, Abhineet, et al.
Published: (2023)

Decision support system for Forest fire management using Ontology with Big Data and LLMs
by: Chandra, Ritesh, et al.
Published: (2024)

Cross Domain Evaluation of Multimodal Chain-of-Thought Reasoning of different datasets into the Amazon CoT Framework
by: Tiwari, Nitya, et al.
Published: (2025)

Supporting Assessment of Novelty of Design Problems Using Concept of Problem SAPPhIRE
by: Singh, Sanjay, et al.
Published: (2024)

Real-Time Driver Safety Scoring Through Inverse Crash Probability Modeling
by: Roy, Joyjit, et al.
Published: (2026)

Posterior-Calibrated Causal Circuits in Variational Autoencoders: Why Image-Domain Interpretability Fails on Tabular Data
by: Roy, Dip, et al.
Published: (2026)

Adaptive Test-Time Intervention for Concept Bottleneck Models
by: Shen, Matthew, et al.
Published: (2025)

Machine Learning for ALSFRS-R Score Prediction: Making Sense of the Sensor Data
by: Mehta, Ritesh, et al.
Published: (2024)

Augmented Reinforcement Learning Framework For Enhancing Decision-Making In Machine Learning Models Using External Agents
by: Singh, Sandesh Kumar
Published: (2025)

Detection Without Correction: A Robust Asymmetry in Activation-Based Hallucination Probing
by: Roy, Dip, et al.
Published: (2026)

A Regime-Aware Fusion Framework for Time Series Classification
by: Chauhan, Honey Singh, et al.
Published: (2025)

MAC: A Meta-Learning Approach for Feature Learning and Recombination
by: Tiwari, S., et al.
Published: (2022)

Synthetic Interventions
by: Agarwal, Anish, et al.
Published: (2020)

Deep Learning-Based Early-Stage IR-Drop Estimation via CNN Surrogate Modeling
by: Bhadana, Ritesh
Published: (2026)

Early-Cycle Internal Impedance Enables ML-Based Battery Cycle Life Predictions Across Manufacturers
by: Sours, Tyler, et al.
Published: (2024)

Interpretable Hybrid Deep Q-Learning Framework for IoT-Based Food Spoilage Prediction with Synthetic Data Generation and Hardware Validation
by: Singh, Isshaan, et al.
Published: (2025)

Machine Learning Framework for Early Power, Performance, and Area Estimation of RTL
by: Chattopadhyay, Anindita, et al.
Published: (2025)

The Vulnerability of Language Model Benchmarks: Do They Accurately Reflect True LLM Performance?
by: Banerjee, Sourav, et al.
Published: (2024)

Causal Inference with Corrupted Data: Measurement Error, Missing Values, Discretization, and Differential Privacy
by: Agarwal, Anish, et al.
Published: (2021)

Towards Integrating Personal Knowledge into Test-Time Predictions
by: Lage, Isaac, et al.
Published: (2024)

GBSVR: Granular Ball Support Vector Regression
by: Rastogi, Reshma, et al.
Published: (2025)

A Comprehensive Evaluation of Graph Neural Networks and Physics Informed Learning for Surrogate Modelling of Finite Element Analysis
by: Singh, Nayan Kumar
Published: (2025)

Spatiotemporal deep learning models for detection of rapid intensification in cyclones
by: Sutar, Vamshika, et al.
Published: (2025)