Manoj Agarwal

Orcid: 0000-0003-1963-7442

According to our database1, Manoj Agarwal authored at least 22 papers between 2011 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

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

2023
Evaluating SAR Radiometric Terrain Correction Products: Analysis-Ready Data for Users.
Remote. Sens., November, 2023

XAI-MethylMarker: Explainable AI approach for biomarker discovery for breast cancer subtype classification using methylation data.
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

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

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

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

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

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

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

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


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