Aditya Kumar

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025
Louvain-based multi-view creation for enhanced ensemble learning.
Netw. Model. Anal. Health Informatics Bioinform., December, 2025

Graph coloring based feature partitioning for multi-view convolutional neural networks.
Multim. Tools Appl., August, 2025

Comprehensive survey of body weight estimation: techniques, datasets, and applications.
Multim. Tools Appl., July, 2025

An Independent Discriminant Network Towards Identification of Counterfeit Images and Videos.
CoRR, June, 2025

Kornia-rs: A Low-Level 3D Computer Vision Library In Rust.
CoRR, May, 2025

Enhancing Productivity in Database Management Through AI: A Three-Phase Approach for Database.
CoRR, April, 2025

Building Machine Learning Challenges for Anomaly Detection in Science.
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CoRR, March, 2025

Med-gte-hybrid: A contextual embedding transformer model for extracting actionable information from clinical texts.
CoRR, February, 2025

Beautiful Images, Toxic Words: Understanding and Addressing Offensive Text in Generated Images.
CoRR, February, 2025

Unveiling the potential of graph coloring in feature set partitioning: A study on high-dimensional datasets.
Neurocomputing, 2025

Enhanced Pearl Millet Mildew Disease Detection using Ensemble Deep Learning Methods.
Int. J. Data Anal. Tech. Strateg., 2025

Bi-level deep feature synthesis through variational autoencoder for predicting peptide antiviral activity using optimized deep ensemble.
Expert Syst. Appl., 2025

Improving multi-view ensemble learning with Round-Robin feature set partitioning.
Data Knowl. Eng., 2025

Enhancing Human-Computer Interaction: An Accurate Video-Based American Sign Language Translation Model Using Machine Learning Techniques.
Proceedings of the IEEE International Conference on Consumer Electronics, 2025

2024
Multimodal fusion: advancing medical visual question-answering.
Neural Comput. Appl., November, 2024

Minimum spanning tree clustering approach for effective feature partitioning in multi-view ensemble learning.
Knowl. Inf. Syst., November, 2024

FIDEL: Fog integrated federated learning framework to train neural networks.
Softw. Pract. Exp., February, 2024

Generative Adversarial Network-Based Augmentation With Noval 2-Step Authentication for Anti-Coronavirus Peptide Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024

MLDSPP: Bacterial Promoter Prediction Tool Using DNA Structural Properties with Machine Learning and Explainable AI.
J. Chem. Inf. Model., 2024

The poker-chip experiments of synthetic elastomers.
CoRR, 2024

Estimating Complexity for Perception-based ADAS in Unstructured Road Environments.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Camera-based Mobility Framework for Visually Impaired Pedestrians in Unstructured Environments.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

What Do You Mean by Memory? When Engineers Are Lost in the Maze of Complexity.
Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice, 2024

The Devil Is in the Command Line: Associating the Compiler Flags With the Binary and Build Metadata.
Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice, 2024

Using AI and IoT to Promote Intra-Party Democracy for Indian Electoral Reforms: Emerging Issues.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Optimizing Automatic Test Case Generation Using Singular Value Decomposition Approach.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

IOT-Based Machine Learning for Crop Pattern Analysis.
Proceedings of the 7th International Conference on Contemporary Computing and Informatics, 2024

Evaluating Machine Learning Techniques for Stock Loss Forecasting: Hypothesis Testing and Model Selection.
Proceedings of the 7th International Conference on Contemporary Computing and Informatics, 2024

2023
A review of feature set partitioning methods for multi-view ensemble learning.
Inf. Fusion, December, 2023

Predicting Dissolution Kinetics of Tricalcium Silicate Using Deep Learning and Analytical Models.
Algorithms, January, 2023

DeePromClass: Delineator for Eukaryotic Core Promoters Employing Deep Neural Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Water-Puddle Segmentation Using Deep Learning in Unstructured Environments.
Proceedings of the IEEE International Conference on Service Operations and Logistics, 2023

What Warnings Do Engineers Really Fix? The Compiler That Cried Wolf.
Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

Covid-19 Detection using chest X-Ray Images.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

A Review of Data Security in Cloud Computing.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2022
Machine learning and statistics shape a novel path in archaeal promoter annotation.
BMC Bioinform., 2022

Design Aspects and Thermal Characteristics of Single-Sided Linear Induction Motor for Electromagnetic Launch Application.
IEEE Access, 2022

Deriving Customer Experience Implicitly from Social Media.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Mining Code Review Data to Understand Waiting Times Between Acceptance and Merging: An Empirical Analysis.
Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

Quantifying Daily Evolution of Mobile Software Based on Memory Allocator Churn.
Proceedings of the 9th IEEE/ACM International Conference on Mobile Software Engineering and Systems, 2022

When malloc() Never Returns NULL - Reliability as an Illusion.
Proceedings of the IEEE International Symposium on Software Reliability Engineering Workshops, 2022

There Ain't No Such Thing as a Free Custom Memory Allocator.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

The Unexplored Terrain of Compiler Warnings.
Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, 2022

An approach for classifying benign and malignant skin lesions using Optimized Deep Learning and SVM.
Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing, 2022

2021
Neural Computing.
CoRR, 2021

Bipartite molecular approach for species delimitation and resolving cryptic speciation of <i>Exobasidium vexans</i> within the <i>Exobasidium</i> genus.
Comput. Biol. Chem., 2021

Distributed State Estimation for Distribution Grid with Sparse Measurements.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Securely Boosting Chain Growth and Confirmation Speed in PoW Blockchains.
Proceedings of the 2021 IEEE International Conference on Blockchain, 2021

Fog Enabled Distributed Training Architecture for Federated Learning.
Proceedings of the Big Data Analytics - 9th International Conference, 2021

2020
Rex: Preventing Bugs and Misconfiguration in Large Services Using Correlated Change Analysis.
Proceedings of the 17th USENIX Symposium on Networked Systems Design and Implementation, 2020

Data Adaptive Compressed Sensing using deep neural network for Image recognition.
Proceedings of the 2020 National Conference on Communications, 2020


Scalable Optimal Flexibility Control, modeling and estimation of commercial buildings.
Proceedings of the 2020 American Control Conference, 2020

2019
Clustering case statements for indirect branch predictors.
CoRR, 2019

2017
Multikernel Simulation: A New Approach to Study Rollback Sensitive Memory Architecture.
Proceedings of the 3rd IEEE International Conference on Collaboration and Internet Computing, 2017

Development of a NAO Humanoid based Medical Assistant.
Proceedings of the Advances in Robotics, 2017

2014
Face Recognition Using MPCA-EMFDA Based Features Under Illumination and Expression Variations in Effect of Different Classifiers.
Proceedings of the Advances in Signal Processing and Intelligent Recognition Systems, 2014

2013
Fast nonlinear model predictive control: Formulation and industrial process applications.
Comput. Chem. Eng., 2013

Experiences with Dynamic Binary Translation in a Full System Simulator.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

2012
The demacrofier.
Proceedings of the 28th IEEE International Conference on Software Maintenance, 2012

Rejuvenating C++ programs through demacrofication.
Proceedings of the 28th IEEE International Conference on Software Maintenance, 2012

An Outer-Approximation based algorithm for solving integer non-linear programming problems for Optimal Sensor Placement.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2007
Advanced Estimation for Aircraft Engines.
Proceedings of the American Control Conference, 2007

2004
Demonstrating constraints to diversity with a tunably difficult problem for genetic programming.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003
A model based approach for estimation and control for polymer compounding (April 2003).
Proceedings of 2003 IEEE Conference on Control Applications, 2003

1996
State-space realizations of linear differential-algebraic-equation systems with control-dependent state space.
IEEE Trans. Autom. Control., 1996


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