Naveen Kumar

Orcid: 0000-0003-3401-6927

Affiliations:
  • University of Delhi, New Delhi, India


According to our database1, Naveen Kumar authored at least 58 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
I-LDD: an interpretable leaf disease detector.
Soft Comput., February, 2024

CXRmark: A Watermarking Scheme for Chest X-Rays Using Online Sequential Reduced Kernel ELM.
Circuits Syst. Signal Process., February, 2024

<i>XL<sub>1</sub>R-Net</i>: Explainable AI-driven improved L1-regularized deep neural architecture for NSCLC biomarker identification.
Comput. Biol. Chem., February, 2024

Enlightening the path to NSCLC biomarkers: Utilizing the power of XAI-guided deep learning.
Comput. Methods Programs Biomed., January, 2024

Robust weighted general performance score for various classification scenarios.
Intell. Decis. Technol., 2024

Multi-objective Binary Differential Approach with Parameter Tuning for Discovering Business Process Models: MoD-ProM.
CoRR, 2024

MantaRay-ProM: An efficient process model discovery algorithm.
AI Commun., 2024

XAI-VSDoA: An Explainable AI-Based Scheme Using Vital Signs to Assess Depth of Anesthesia.
IEEE Access, 2024

Revealing the Unseen: Explainable AI-Driven Masked Face Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
XAI-MethylMarker: Explainable AI approach for biomarker discovery for breast cancer subtype classification using methylation data.
Expert Syst. Appl., September, 2023

WSOmark: An adaptive dual-purpose color image watermarking using white shark optimizer and Levenberg-Marquardt BPNN.
Expert Syst. Appl., September, 2023

XAI-CNVMarker: Explainable AI-based copy number variant biomarker discovery for breast cancer subtypes.
Biomed. Signal Process. Control., July, 2023

HGSmark: An efficient ECG watermarking scheme using hunger games search and Bayesian regularization BPNN.
Biomed. Signal Process. Control., May, 2023

An explainable AI-driven biomarker discovery framework for Non-Small Cell Lung Cancer classification.
Comput. Biol. Medicine, February, 2023

I-FLASH: Interpretable Fake News Detector Using LIME and SHAP.
Wirel. Pers. Commun., 2023

Predicting Depth of Anesthesia using EEG Signals and Deep Convolution Network.
Proceedings of the Third International Conference on AI-ML Systems, 2023

2022
COV-ELM classifier: An extreme learning machine based identification of COVID-19 using chest X-ray images.
Intell. Decis. Technol., 2022

MantaRayWmark: An image adaptive multiple embedding strength optimization based watermarking using Manta Ray Foraging and bi-directional ELM.
Expert Syst. Appl., 2022

ROSEmark: Robust semi-blind ECG watermarking scheme using SWT-DCT framework.
Digit. Signal Process., 2022

2021
Biomarker Gene Identification for Breast Cancer Classification.
CoRR, 2021

Deep Learning Based Model for Breast Cancer Subtype Classification.
CoRR, 2021

Triphasic DeepBRCA-A Deep Learning-Based Framework for Identification of Biomarkers for Breast Cancer Stratification.
IEEE Access, 2021

GA-ProM: A Genetic Algorithm for Discovery of Complete Process Models from Unbalanced Logs.
Proceedings of the Big-Data-Analytics in Astronomy, Science, and Engineering, 2021

2020
Impact of ageing on the brain regions of the schizophrenia patients: an fMRI study using evolutionary approach.
Multim. Tools Appl., 2020

Identification of changes in grey matter volume using an evolutionary approach: an MRI study of schizophrenia.
Multim. Syst., 2020

MOEA for discovering Pareto-optimal process models: an experimental comparison.
Int. J. Comput. Sci. Eng., 2020

COV-ELM classifier: An Extreme Learning Machine based identification of COVID-19 using Chest-Ray Images.
CoRR, 2020

2018
Bi-objective approach for computer-aided diagnosis of schizophrenia patients using fMRI data.
Multim. Tools Appl., 2018

Discovering pareto-optimal process models: a comparison of MOEA techniques.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017
Parallel quantum-inspired evolutionary algorithms for community detection in social networks.
Appl. Soft Comput., 2017

An Entropy based Method for Overlapping Subspace Clustering.
Proceedings of the 5th International Conference on Information Technology and Quantitative Management, 2017

Opinion Ensembling for Improving Economic Growth through Tourism.
Proceedings of the 5th International Conference on Information Technology and Quantitative Management, 2017

2015
Parallel multi-objective multi-robot coalition formation.
Expert Syst. Appl., 2015

Modified partition integration method for community detection in multidimensional social networks.
Proceedings of the 11th International Conference on Natural Computation, 2015

2014
Non-additive multi-objective robot coalition formation.
Expert Syst. Appl., 2014

Quantum inspired genetic algorithm for community structure detection in social networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Parameter tuning in quantum-inspired evolutionary algorithms for partitioning complex networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

GPU-based massively parallel quantum inspired genetic algorithm for detection of communities in complex networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2012
Mining of Multiobjective Non-redundant Association Rules in Data Streams.
Proceedings of the Artificial Intelligence and Soft Computing, 2012

Lattice Based Associative Classifier.
Proceedings of the Intelligent Information and Database Systems - 4th Asian Conference, 2012

2011
Projected Gustafson-Kessel Clustering Algorithm and Its Convergence.
Trans. Rough Sets, 2011

Multiple Objective Robot Coalition Formation.
J. Intell. Syst., 2011

SAHAM: Shared Adaptive Hypermedia Application Model.
Int. J. Comput. Appl. Technol., 2011

Projected Rough Fuzzy c-means clustering.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

MORCFA: A Multiple Objective Robot Coalition Formation Algorithm.
Proceedings of the 5th Indian International Conference on Artificial Intelligence, 2011

Multi-objective Robot Coalition Formation for Non-additive Environments.
Proceedings of the Intelligent Robotics and Applications - 4th International Conference, 2011

2010
Mining Closed Itemsets in Data Stream Using Formal Concept Analysis.
Proceedings of the Data Warehousing and Knowledge Discovery, 12th International Conference, 2010

2009
Algorithms for Association Rule Mining.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

BEAN: a lightweight stream cipher.
Proceedings of the 2nd International Conference on Security of Information and Networks, 2009

Projected Gustafson Kessel Clustering.
Proceedings of the Rough Sets, 2009

TWIS - A Lightweight Block Cipher.
Proceedings of the Information Systems Security, 5th International Conference, 2009

2005
A Hybrid Approach for Quantification of Novelty in Rule Discovery.
Proceedings of the Second World Enformatika Conference, 2005

Incremental Classification Rules Based on Association Rules Using Formal Concept Analysis.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

Adaptive Hypermedia Systems - A Requirement's Perspective.
Proceedings of the Ninth IASTED International Conference on Internet and Multimedia Systems and Applications (IMSA 2005), 2005

Mining Positive and Negative Association Rules Based on Closed Itemsets: An approach for generalized rules.
Proceedings of The 2005 International Conference on Data Mining, 2005

2004
Mining fuzzy conceptual clusters and constructing the fuzzy conceptual frame lattices.
Proceedings of the Data Mining and Knowledge Discovery: Theory, 2004

Mining multiple table databases with multiple minimum support constraints.
Proceedings of the Data Mining and Knowledge Discovery: Theory, 2004

Novelty Framework for Knowledge Discovery in Databases.
Proceedings of the Data Warehousing and Knowledge Discovery, 6th International Conference, 2004


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