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ORCIDManoj Agarwal
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2020 – today
- 2024
[j18]Kountay Dwivedi
, Ankit Rajpal, Sheetal Rajpal, Virendra Kumar, Manoj Agarwal, Naveen Kumar:
XL1R-Net: Explainable AI-driven improved L1-regularized deep neural architecture for NSCLC biomarker identification. Comput. Biol. Chem. 108: 107990 (2024)- [j17]Kountay Dwivedi, Ankit Rajpal, Sheetal Rajpal, Virendra Kumar, Manoj Agarwal, Naveen Kumar:
Enlightening the path to NSCLC biomarkers: Utilizing the power of XAI-guided deep learning. Comput. Methods Programs Biomed. 243: 107864 (2024) - [j16]Gaurav Pandey, Rashika Bagri, Rajan Gupta, Ankit Rajpal, Manoj Agarwal, Naveen Kumar:
Robust weighted general performance score for various classification scenarios. Intell. Decis. Technol. 18(3): 2033-2054 (2024) - [j15]Rashmi Mishra, Kavita, Ankit Rajpal, Varnika Bhatia, Sheetal Rajpal, Manoj Agarwal, Naveen Kumar:
I-LDD: an interpretable leaf disease detector. Soft Comput. 28(3): 2517-2533 (2024) - 2023
- [j14]Sheetal Rajpal, Ankit Rajpal, Manoj Agarwal, Virendra Kumar, Ajith Abraham, Divya Khanna, Naveen Kumar:
XAI-CNVMarker: Explainable AI-based copy number variant biomarker discovery for breast cancer subtypes. Biomed. Signal Process. Control. 84: 104979 (2023) - [j13]Kountay Dwivedi, Ankit Rajpal, Sheetal Rajpal, Manoj Agarwal, Virendra Kumar, Naveen Kumar:
An explainable AI-driven biomarker discovery framework for Non-Small Cell Lung Cancer classification. Comput. Biol. Medicine 153: 106544 (2023) - [j12]Sheetal Rajpal, Ankit Rajpal, Arpita Saggar, Ashok K. Vaid, Virendra Kumar, Manoj Agarwal, Naveen Kumar:
XAI-MethylMarker: Explainable AI approach for biomarker discovery for breast cancer subtype classification using methylation data. Expert Syst. Appl. 225: 120130 (2023) - [j11]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:
Evaluating SAR Radiometric Terrain Correction Products: Analysis-Ready Data for Users. Remote. Sens. 15(21): 5110 (2023) - [j10]Vanshika Dua, Ankit Rajpal, Sheetal Rajpal, Manoj Agarwal, Naveen Kumar:
I-FLASH: Interpretable Fake News Detector Using LIME and SHAP. Wirel. Pers. Commun. 131(4): 2841-2874 (2023) - 2022
- [j9]Sheetal Rajpal, Manoj Agarwal, Ankit Rajpal, Navin Lakhyani, Arpita Saggar, Naveen Kumar:
COV-ELM classifier: An extreme learning machine based identification of COVID-19 using chest X-ray images. Intell. Decis. Technol. 16(1): 193-203 (2022) - 2021
- [j8]Sheetal Rajpal, Manoj Agarwal, Virendra Kumar, Anamika Gupta, Naveen Kumar:
Triphasic DeepBRCA-A Deep Learning-Based Framework for Identification of Biomarkers for Breast Cancer Stratification. IEEE Access 9: 103347-103364 (2021) - [i2]Sheetal Rajpal, Virendra Kumar, Manoj Agarwal, Naveen Kumar:
Deep Learning Based Model for Breast Cancer Subtype Classification. CoRR abs/2111.03923 (2021) - [i1]Sheetal Rajpal, Ankit Rajpal, Manoj Agarwal, Naveen Kumar:
Biomarker Gene Identification for Breast Cancer Classification. CoRR abs/2111.05546 (2021) - 2020
- [j7]Sonia Deshmukh, Manoj Agarwal, Shikha Gupta, Naveen Kumar:
MOEA for discovering Pareto-optimal process models: an experimental comparison. Int. J. Comput. Sci. Eng. 21(3): 446-456 (2020) - [j6]Indranath Chatterjee, Virendra Kumar, Bharti Rana, Manoj Agarwal, Naveen Kumar:
Identification of changes in grey matter volume using an evolutionary approach: an MRI study of schizophrenia. Multim. Syst. 26(4): 383-396 (2020) - [j5]Indranath Chatterjee, Virendra Kumar, Bharti Rana, Manoj Agarwal, Naveen Kumar:
Impact of ageing on the brain regions of the schizophrenia patients: an fMRI study using evolutionary approach. Multim. Tools Appl. 79(33-34): 24757-24779 (2020)
2010 – 2019
- 2018
- [j4]Indranath Chatterjee, Manoj Agarwal, Bharti Rana, Navin Lakhyani, Naveen Kumar:
Bi-objective approach for computer-aided diagnosis of schizophrenia patients using fMRI data. Multim. Tools Appl. 77(20): 26991-27015 (2018) - [c3]Sonia, Manoj Agarwal, Shikha Gupta, Naveen Kumar:
Discovering pareto-optimal process models: a comparison of MOEA techniques. GECCO (Companion) 2018: 286-287 - 2015
- [j3]Manoj Agarwal, Nitin Agrawal, Shikhar Sharma, Lovekesh Vig, Naveen Kumar:
Parallel multi-objective multi-robot coalition formation. Expert Syst. Appl. 42(21): 7797-7811 (2015) - 2014
- [j2]Manoj Agarwal, Naveen Kumar, Lovekesh Vig:
Non-additive multi-objective robot coalition formation. Expert Syst. Appl. 41(8): 3736-3747 (2014) - 2011
- [j1]Manoj Agarwal, Lovekesh Vig, Naveen Kumar:
Multiple Objective Robot Coalition Formation. J. Intell. Syst. 20(4): 395-413 (2011) - [c2]Manoj Agarwal, Lovekesh Vig, Naveen Kumar:
Multi-objective Robot Coalition Formation for Non-additive Environments. ICIRA (1) 2011: 346-355 - [c1]Manoj Agarwal, Lovekesh Vig, Naveen Kumar:
MORCFA: A Multiple Objective Robot Coalition Formation Algorithm. IICAI 2011: 268-279
Coauthor Index
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last updated on 2024-10-16 21:21 CEST by the dblp team
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