Aayush Kumar

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Dempster Shafer Evidence Theory

Convolutional Network

Feature Importance

Top Venues

UbiComp/ISWC Adjunct

Expert Syst. J. Knowl. Eng.

Publications

Matin Amoozadeh, David Daniels, Daye Nam, Aayush Kumar, Stella Chen, Michael Hilton, Sruti Srinivasa Ragavan, Mohammad Amin Alipour
Trust in Generative AI among Students: An exploratory study. SIGCSE (1) (2024)
Harshit Goel, Aayush Kumar, Sruti Srinivasa Ragavan
End-User Programming is WEIRD: How, Why and What to Do About It. VL/HCC (2023)
Harshit Goel, Aayush Kumar, Sruti Srinivasa Ragavan
Poster: End-User Programming is WEIRD. VL/HCC (2023)
Aayush Kumar, Jimiama Mafeni Mase, Divish Rengasamy, Benjamin Rothwell, Mercedes Torres Torres, David A. Winkler, Grazziela P. Figueredo
EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python. CoRR (2022)
Aayush Kumar, Sanat B. Singh, Suresh Chandra Satapathy, Minakhi Rout
MOSQUITO-NET: A deep learning based CADx system for malaria diagnosis along with model interpretation using GradCam and class activation maps. Expert Syst. J. Knowl. Eng. 39 (7) (2022)
Vanita Jain, Fadi Al-Turjman, Gopal Chaudhary, Devang Nayar, Varun Gupta, Aayush Kumar
Video captioning: a review of theory, techniques and practices. Multim. Tools Appl. 81 (25) (2022)
Matin Amoozadeh, David Daniels, Stella Chen, Daye Nam, Aayush Kumar, Michael Hilton, Mohammad Amin Alipour, Sruti Srinivasa Ragavan
Towards Characterizing Trust in Generative Artificial Intelligence among Students. ICER (2) (2022)
Anju Yadav, Rahul Saxena, Aayush Kumar, Tarandeep Singh Walia, Atef Zaguia, S. M. Mostafa Kamal
FVC-NET: An Automated Diagnosis of Pulmonary Fibrosis Progression Prediction Using Honeycombing and Deep Learning. Comput. Intell. Neurosci. 2022 (2022)
Aayush Kumar, Ayush R. Tripathi, Suresh Chandra Satapathy, Yu-Dong Zhang
SARS-Net: COVID-19 detection from chest x-rays by combining graph convolutional network and convolutional neural network. Pattern Recognit. 122 (2022)
Aayush Kumar, Jimiama Mafeni Mase, Divish Rengasamy, Benjamin Rothwell, Mercedes Torres Torres, David A. Winkler, Grazziela P. Figueredo
EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python. LOD (2) (2022)
Divish Rengasamy, Jimiama Mafeni Mase, Aayush Kumar, Benjamin Rothwell, Mercedes Torres Torres, Morgan R. Alexander, David A. Winkler, Grazziela P. Figueredo
Feature importance in machine learning models: A fuzzy information fusion approach. Neurocomputing 511 (2022)
Aayush Kumar, Sanat B. Singh, Suresh Chandra Satapathy, Minakhi Rout
MOSQUITO-NET: A deep learning based CADx system for malaria diagnosis along with model interpretation using GradCam and class activation maps. CoRR (2020)
Aayush Kumar, Caleb Rudnicki, Rhea Chatterjee, Kenzy Mina, Obinna Onyeije, Thad Starner
JacquardToolkit: enabling and exploring interactions with the Levi's jacquard jacket. UbiComp/ISWC Adjunct (2019)
Aayush Kumar, Caleb Rudnicki, Rhea Chatterjee, Kenzy Mina, Obinna Onyeije, Thad Starner
JacquardToolkit: enabling interactions with the Levi's Jacquard jacket. UbiComp (2019)