Submissions from 2024
Enhancing Rare Object Detection in AI: Leveraging Synthetic Data for Improved Model Training, Jesse Claiborne, Tivon Brown, Paul Rodriguez, and Sambit Bhattacharya
Dr. Alexander Umantsev - Design on Novel Materials Human Intelligence vs Artificial One October 16 2024, Alexander Umantsev
A blockchain based privacy-preserving federated learning scheme for Internet of Vehicles, Naiyu Wang, Wenti Yang, Xiaodong Wang, Longfei Wu, Zhitao Guan, Xiaojiang Du, and Mohsen Guizani
A Secure Neural Network Inference Framework for Intelligent Connected Vehicles, Wenti Yang, Zhitao Guan, Longfei Wu, and Zhaoyang He
Submissions from 2021
Towards Language Models for AI Mental Health Assistant Design, Cami Czejdo and Sambit Bhattacharya
Towards Language Models for AI Mental Health Assistant Design, Cami Czejdo and Sambit Bhattacharya
Submissions from 2020
The C Class Lesson Plan Framework: Disrupting Lesson Strategies and Intentions by Designing a New Style of Lesson Engagement that Deconstructs and Reconstructs the Future of Learning, Caroline M. Crawford, Noran L. Moffett, and Jennifer K. Young Wallace
Submissions from 2018
Open Source Platforms and Frameworks for Artificial Intelligence and Machine Learning, Sambit Bhattacharya, Bogdan Czejdo, Rajeev Agrawal, Erdem Erdemir, and Balakrishna Gokaraju
Submissions from 2016
Creation of a student research environment in artificial intelligence with industrial involvement, Sambit Bhattacharya, Bogdan Czejdo, John Martellaro, Aisha Bowe, Kajal Pancholi, and Sue Hall
Submissions from 2012
Research modules for undergraduates in machine learning for automatic gesture classification, Sambit Bhattacharya, Bogdan Denny Czejdo, and Nick Perez