Ontology - Driven Observer Pattern. - Amrita Chaturvedi; Tadinada Vankata Prabhakar (ADBIS (2), 2013)

Ontology driven creational design patterns: creating objects on the fly. - Amrita Chaturvedi; Tadinada Vankata Prabhakar (RACS, 2013)

Ontology driven builder pattern: a plug and play component. - Amrita Chaturvedi; Tadinada Vankata Prabhakar (SAC, 2014)

A Multiclass EEG Signal Classification Model using Spatial Feature Extraction and XGBoost Algorithm. - Anurag Tiwari; Amrita Chaturvedi (IROS, 2019)

A Novel Channel Selection Method for BCI Classification Using Dynamic Channel Relevance. - Anurag Tiwari; Amrita Chaturvedi (IEEE Access, 2021)

Reuse estimate and interval prediction using MOGA-NN and RBF-NN in the functional paradigm. - Devesh Manjhi; Amrita Chaturvedi (Sci. Comput. Program., 2021)

SmartMixModel: Machine Learning-based Vulnerability Detection of Solidity Smart Contracts. - Supriya Shakya; Arnab Mukherjee; Raju Halder; Abyayananda Maiti; Amrita Chaturvedi (Blockchain, 2022)

A Multiclass EEG Signal Classification Model Using Channel Interaction Maximization and Multivariate Empirical Mode Decomposition. - Pankaj Kumar Jha; Anurag Tiwari; Amrita Chaturvedi (ICONIP (2), 2022)

A Framework for Software Defect Prediction Using Optimal Hyper-Parameters of Deep Neural Network. - Rakesh Kumar; Amrita Chaturvedi (ICONIP (7), 2022)

A hybrid feature selection approach based on information theory and dynamic butterfly optimization algorithm for data classification. - Anurag Tiwari; Amrita Chaturvedi (Expert Syst. Appl., 2022)

Automatic channel selection using multiobjective X-shaped binary butterfly algorithm for motor imagery classification. - Anurag Tiwari; Amrita Chaturvedi (Expert Syst. Appl., 2022)

An integrated approach of designing functionality with security for distributed cyber-physical systems. - Dipty Tripathi; Amit Biswas; Anil Kumar Tripathi; Lalit Kumar Singh; Amrita Chaturvedi (J. Supercomput., 2022)

An Unsupervised Software Fault Prediction Approach Using Threshold Derivation. - Rakesh Kumar; Amrita Chaturvedi; K. Lakshmanan 001 (IEEE Trans. Reliab., 2022)

Software Bug Count Prediction Model Based on Software Source Code. - Rakesh Kumar; Amrita Chaturvedi (ICCCNT, 2023)

Leveraging deep feature learning for wearable sensors based handwritten character recognition. - Shashank Kumar Singh; Amrita Chaturvedi (Biomed. Signal Process. Control., 2023)

Automatic EEG channel selection for multiclass brain-computer interface classification using multiobjective improved firefly algorithm. - Anurag Tiwari; Amrita Chaturvedi (Multim. Tools Appl., 2023)

Proximal policy optimization based hybrid recommender systems for large scale recommendations. - Vaibhav Padhye; K. Lakshmanan 001; Amrita Chaturvedi (Multim. Tools Appl., 2023)

A reliable and efficient machine learning pipeline for american sign language gesture recognition using EMG sensors. - Shashank Kumar Singh; Amrita Chaturvedi (Multim. Tools Appl., 2023)

From Problem Descriptions to User Stories: Utilizing Large Language Models through Prompt Chaining. - Amol Sharma; Amrita Chaturvedi; Anil Kumar Tripathi (ICCCNT, 2024)

An efficient multi-modal sensors feature fusion approach for handwritten characters recognition using Shapley values and deep autoencoder. - Shashank Kumar Singh; Amrita Chaturvedi (Eng. Appl. Artif. Intell., 2024)

Software Bug Prediction Using Reward-Based Weighted Majority Voting Ensemble Technique. - Rakesh Kumar; Amrita Chaturvedi (IEEE Trans. Reliab., 2024)

A multi-criteria decision making based integrated approach for rumor prevention in social networks. - Shruti Bajpai; Amrita Chaturvedi (Multim. Tools Appl., 2024)

Machine Learning for Sensor-Based Handwritten Character Recognition: A Brief Survey. - Shashank Kumar Singh; Amrita Chaturvedi (ICDCIT, 2025)

A Cooperative Game Theory-Based Feature Selection for Efficient Hand Grasp Classification Using Minimal Number of sEMG Signals. - Shashank Kumar Singh; Amrita Chaturvedi (ACM Trans. Comput. Heal., 2025)

An unsupervised software bug count prediction model based on selected software metrics. - Rakesh Kumar; Amrita Chaturvedi (Appl. Intell., 2025)