| Curated pathways to innovation: personalized CS education to promote diversity N Linnel, A Dayal, P Gonsalves, M Kakodkar, B Ribiero, A Starr, T Urdan, ... Journal of Computing Sciences in Colleges 35 (10), 39-45, 2020 | 8 | 2020 |
| Sequential stratified regeneration: MCMC for large state spaces with an application to subgraph count estimation CHC Teixeira, M Kakodkar, V Dias, W Meira Jr, B Ribeiro Data Mining and Knowledge Discovery 36 (1), 414-447, 2022 | 4 | 2022 |
| From monte carlo to las vegas: Improving restricted boltzmann machine training through stopping sets P Savarese, M Kakodkar, B Ribeiro Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 3 | 2018 |
| Conditional Invariances for Conformer Invariant Protein Representations B Srinivasan, VN Ioannidis, S Adeshina, M Kakodkar, G Karypis, ... | | 2022 |
| Towards a Personalized Learning Approach to BroadenParticipation in Computer Science and Promote Computational Thinking E Johnson, T Ober, P Gonsalves, M Kakodkar, J Zdankus 2022 ASEE Annual Conference & Exposition, 2022 | | 2022 |
| Developing Computational Thinking skills and STEM+ C Career Interest through Adaptive Content Curation for Middle School Students E Johnson, T Ober, P Gonsalves, M Kakodkar, J Zdankus 2022 ASEE Annual Conference & Exposition, 2022 | | 2022 |
| Efficient and Scalable Subgraph Statistics Using Regenerative Markov Chain Monte Carlo M Kakodkar Purdue University, 2022 | | 2022 |
| Curating Computer Science Educational Content with Machine Learning: Analyzing Learner Ratings within an Algorithmic Recommender System TM Ober, M Kakodar, Y Cheng, P Gonsalves, PR Brenner, E Johnson, ... TMS Proceedings 2021, 2021 | | 2021 |
| Curating Computer Science Educational Content with Machine Learning TM Ober, M Kakodar, Y Cheng, P Gonsalves, PR Brenner, E Johnson, ... | | 2021 |
