| Is a Virtual Reality-based Laboratory Experience a Viable Alternative to the Real Thing? JR McCusker, MA Almaghrabi, B Kucharski 2018 ASEE Annual Conference & Exposition, 2018 | 9 | 2018 |
| Curriculum design for a multidisciplinary embedded artificial intelligence course M Ergezer, B Kucharski, A Carpenter Proceedings of the 49th ACM Technical Symposium on Computer Science …, 2018 | 8 | 2018 |
| Multi-resolution networks for flexible irregular time series modeling (multi-fit) BP Singh, I Deznabi, B Narasimhan, B Kucharski, R Uppaal, A Josyula, ... arXiv preprint arXiv:1905.00125, 2019 | 6 | 2019 |
| Work in progress-the undergraduate perspective: How to survive an undergraduate engineering program B Kucharski, A Carpenter, J Giblin, M Ergezer 2018 ASEE Annual Conference & Exposition, 2018 | 2 | 2018 |
| Machine learning based heuristic search algorithms to solve birds of a feather card game B Kucharski, A Deihim, M Ergezer Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9656-9661, 2019 | 1 | 2019 |
| Work in progress: Designing laboratory work for a novel embedded AI course M Ergezer, B Kucharski, A Carpenter 2018 ASEE Annual Conference & Exposition, 2018 | 1 | 2018 |
| Real-World Projectile Catching with Reinforcement Learning: Empirical Analysis using Discretized Simulations B Kucharski, A Ziel, M Hickey, C Travers 2018 IEEE MIT Undergraduate Research Technology Conference (URTC), 1-5, 2018 | | 2018 |
| A Mixed Reality Approach to Address Simulation Bias in Reinforcement Learning Robotics Applications B Kucharski, M Hickey, C Travers, A Ziel, A Carpenter 2018 ASEE Northeast Section Conference, 2018 | | 2018 |
| Learning to Drive with Reinforcement Learning and Variational Autoencoders B Kucharski | | |
| Language Modeling to Generate Lyrics for Hip-Hop and Gospel Songs B Kucharski, D Moquin, J Wang, W You | | |
| Multi View Approach to 3D Generative Models B Kucharski | | |
| EXPLORING GENERALIZATION IN TEXT-BASED REIN-FORCEMENT LEARNING B Kucharski | | |
| Multi-resolution Attention with Signal Splitting for Multivariate Time Series Classification R Uppaal, B Kucharski, BP Singh, I Deznabi, M Fiterau | | |
