Manoj Agarwal

According to our database, Manoj Agarwal authored at least 23 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

I-LDD: an interpretable leaf disease detector.

Rashmi Mishra, Kavita, Ankit Rajpal, Varnika Bhatia, Sheetal Rajpal, Manoj Agarwal, Naveen Kumar

Soft Comput., February, 2024

<i>XL₁R-Net</i>: Explainable AI-driven improved L1-regularized deep neural architecture for NSCLC biomarker identification.

Kountay Dwivedi, Ankit Rajpal, Sheetal Rajpal, Virendra Kumar, Manoj Agarwal, Naveen Kumar

Comput. Biol. Chem., February, 2024

Enlightening the path to NSCLC biomarkers: Utilizing the power of XAI-guided deep learning.

Kountay Dwivedi, Ankit Rajpal, Sheetal Rajpal, Virendra Kumar, Manoj Agarwal, Naveen Kumar

Comput. Methods Programs Biomed., January, 2024

Robust weighted general performance score for various classification scenarios.

Gaurav Pandey, Rashika Bagri, Rajan Gupta, Ankit Rajpal, Manoj Agarwal, Naveen Kumar

Intell. Decis. Technol., 2024

2023

Evaluating SAR Radiometric Terrain Correction Products: Analysis-Ready Data for Users.

Africa Ixmucane Flores-Anderson, Helen Blue Parache, Vanesa Martín-Arias, Stephanie A. Jiménez, Kelsey Herndon, Stefanie Mehlich, Franz J. Meyer, Shobhit Agarwal, Simon Ilyushchenko, Manoj Agarwal, Andrea Puzzi Nicolau, Amanda M. Markert, David Saah, Emil A. Cherrington

Remote. Sens., November, 2023

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

Sheetal Rajpal, Ankit Rajpal, Arpita Saggar, Ashok K. Vaid, Virendra Kumar, Manoj Agarwal, Naveen Kumar

Expert Syst. Appl., September, 2023

XAI-CNVMarker: Explainable AI-based copy number variant biomarker discovery for breast cancer subtypes.

Sheetal Rajpal, Ankit Rajpal, Manoj Agarwal, Virendra Kumar, Ajith Abraham, Divya Khanna, Naveen Kumar

Biomed. Signal Process. Control., July, 2023

An explainable AI-driven biomarker discovery framework for Non-Small Cell Lung Cancer classification.

Kountay Dwivedi, Ankit Rajpal, Sheetal Rajpal, Manoj Agarwal, Virendra Kumar, Naveen Kumar

Comput. Biol. Medicine, February, 2023

I-FLASH: Interpretable Fake News Detector Using LIME and SHAP.

Vanshika Dua, Ankit Rajpal, Sheetal Rajpal, Manoj Agarwal, Naveen Kumar

Wirel. Pers. Commun., 2023

2022

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

Sheetal Rajpal, Manoj Agarwal, Ankit Rajpal, Navin Lakhyani, Arpita Saggar, Naveen Kumar

Intell. Decis. Technol., 2022

2021

Biomarker Gene Identification for Breast Cancer Classification.

Sheetal Rajpal, Ankit Rajpal, Manoj Agarwal, Naveen Kumar

CoRR, 2021

Deep Learning Based Model for Breast Cancer Subtype Classification.

Sheetal Rajpal, Virendra Kumar, Manoj Agarwal, Naveen Kumar

CoRR, 2021

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

Sheetal Rajpal, Manoj Agarwal, Virendra Kumar, Anamika Gupta, Naveen Kumar

IEEE Access, 2021

2020

Impact of ageing on the brain regions of the schizophrenia patients: an fMRI study using evolutionary approach.

Indranath Chatterjee, Virendra Kumar, Bharti Rana, Manoj Agarwal, Naveen Kumar

Multim. Tools Appl., 2020

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

Indranath Chatterjee, Virendra Kumar, Bharti Rana, Manoj Agarwal, Naveen Kumar

Multim. Syst., 2020

MOEA for discovering Pareto-optimal process models: an experimental comparison.

Sonia Deshmukh, Manoj Agarwal, Shikha Gupta, Naveen Kumar

Int. J. Comput. Sci. Eng., 2020

2018

Bi-objective approach for computer-aided diagnosis of schizophrenia patients using fMRI data.

Indranath Chatterjee, Manoj Agarwal, Bharti Rana, Navin Lakhyani, Naveen Kumar

Multim. Tools Appl., 2018

Discovering pareto-optimal process models: a comparison of MOEA techniques.

Sonia, Manoj Agarwal, Shikha Gupta, Naveen Kumar

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2015

Parallel multi-objective multi-robot coalition formation.

Manoj Agarwal, Nitin Agrawal, Shikhar Sharma, Lovekesh Vig, Naveen Kumar

Expert Syst. Appl., 2015

2014

Non-additive multi-objective robot coalition formation.

Manoj Agarwal, Naveen Kumar, Lovekesh Vig

Expert Syst. Appl., 2014

2011

Multiple Objective Robot Coalition Formation.

Manoj Agarwal, Lovekesh Vig, Naveen Kumar

J. Intell. Syst., 2011

MORCFA: A Multiple Objective Robot Coalition Formation Algorithm.

Manoj Agarwal, Lovekesh Vig, Naveen Kumar

Proceedings of the 5th Indian International Conference on Artificial Intelligence, 2011

Multi-objective Robot Coalition Formation for Non-additive Environments.

Manoj Agarwal, Lovekesh Vig, Naveen Kumar

Proceedings of the Intelligent Robotics and Applications - 4th International Conference, 2011