Aayush Kumar

According to our database, Aayush Kumar authored at least 12 papers between 2019 and 2024.

Collaborative distances:

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

2024

Evaluating the impact of eccentric loading on strip footing above horseshoe tunnels in rock mass using adaptive finite element limit analysis and machine learning.

Aayush Kumar, Vinay Bhushan Chauhan

Earth Sci. Informatics, October, 2024

Trust in Generative AI among Students: An exploratory study.

Matin Amoozadeh, David Daniels, Daye Nam, Aayush Kumar, Stella Chen, Michael Hilton, Sruti Srinivasa Ragavan, Mohammad Amin Alipour

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Evaluation of the Effectiveness of Traditional Training vs. Immersive Training - A Case Study of Building Safety and Emergency Training.

Ming Tang, Mikhail Nikolaenko, Evv Boerwinkle, Samuel Obafisoye, Aayush Kumar, Mohsen Rezayat, Sven Lehmann, Tamara Lorenz

Proceedings of the Extended Reality - International Conference, 2024

2023

Poster: End-User Programming is WEIRD.

Harshit Goel, Aayush Kumar, Sruti Srinivasa Ragavan

Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, 2023

End-User Programming is WEIRD: How, Why and What to Do About It.

Harshit Goel, Aayush Kumar, Sruti Srinivasa Ragavan

Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing, 2023

Towards Characterizing Trust in Generative Artificial Intelligence among Students.

Matin Amoozadeh, David Daniels, Stella Chen, Daye Nam, Aayush Kumar, Michael Hilton, Mohammad Amin Alipour, Sruti Srinivasa Ragavan

Proceedings of the 2023 ACM Conference on International Computing Education Research, 2023

2022

SARS-Net: COVID-19 detection from chest x-rays by combining graph convolutional network and convolutional neural network.

Aayush Kumar, Ayush R. Tripathi, Suresh Chandra Satapathy, Yu-Dong Zhang

Pattern Recognit., 2022

Feature importance in machine learning models: A fuzzy information fusion approach.

Divish Rengasamy, Jimiama Mafeni Mase, Aayush Kumar, Benjamin Rothwell, Mercedes Torres Torres, Morgan R. Alexander, David A. Winkler, Grazziela P. Figueredo

Neurocomputing, 2022

MOSQUITO-NET: A deep learning based CADx system for malaria diagnosis along with model interpretation using GradCam and class activation maps.

Aayush Kumar, Sanat B. Singh, Suresh Chandra Satapathy, Minakhi Rout

Expert Syst. J. Knowl. Eng., 2022

EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python.

Aayush Kumar, Jimiama Mafeni Mase, Divish Rengasamy, Benjamin Rothwell, Mercedes Torres Torres, David A. Winkler, Grazziela P. Figueredo

Proceedings of the Machine Learning, Optimization, and Data Science, 2022

2019

JacquardToolkit: enabling and exploring interactions with the Levi's jacquard jacket.

Aayush Kumar, Caleb Rudnicki, Rhea Chatterjee, Kenzy Mina, Obinna Onyeije, Thad Starner

Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

JacquardToolkit: enabling interactions with the Levi's Jacquard jacket.

Aayush Kumar, Caleb Rudnicki, Rhea Chatterjee, Kenzy Mina, Obinna Onyeije, Thad Starner

Proceedings of the 23rd International Symposium on Wearable Computers, ISWC 2019, London, 2019