| Recurrent Neural Networks for Customer Purchase Prediction on Twitter. M Korpusik, S Sakaki, F Chen, YY Chen CBREcsys@ recsys 1673, 47-50, 2016 | 52 | 2016 |
| System and method for semantic mapping of natural language input to database entries via convolutional neural networks MB Korpusik, JR Glass US Patent 10,817,509, 2020 | 51 | 2020 |
| Spoken language understanding for a nutrition dialogue system M Korpusik, J Glass IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (7), 1450 …, 2017 | 42 | 2017 |
| Semantic mapping of natural language input to database entries via convolutional neural networks M Korpusik, Z Collins, J Glass 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 34 | 2017 |
| Distributional semantics for understanding spoken meal descriptions M Korpusik, C Huang, M Price, J Glass 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 24 | 2016 |
| Data collection and language understanding of food descriptions M Korpusik, N Schmidt, J Drexler, S Cyphers, J Glass 2014 IEEE Spoken Language Technology Workshop (SLT), 560-565, 2014 | 22 | 2014 |
| Behavior prediction on social media using neural networks MB Korpusik, F Chen, S Sakaki, YY Chen US Patent 10,453,099, 2019 | 21 | 2019 |
| A Comparison of Deep Learning Methods for Language Understanding. M Korpusik, Z Liu, JR Glass Interspeech, 849-853, 2019 | 18 | 2019 |
| Deep learning for database mapping and asking clarification questions in dialogue systems M Korpusik, J Glass IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (8), 1321 …, 2019 | 15 | 2019 |
| Character-Based Embedding Models and Reranking Strategies for Understanding Natural Language Meal Descriptions. M Korpusik, Z Collins, JR Glass INTERSPEECH, 3320-3324, 2017 | 12 | 2017 |
| Convolutional neural networks and multitask strategies for semantic mapping of natural language input to a structured database M Korpusik, J Glass 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 11 | 2018 |
| Dialogue state tracking with convolutional semantic taggers M Korpusik, J Glass ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 7 | 2019 |
| Convolutional neural networks for dialogue state tracking without pre-trained word vectors or semantic dictionaries M Korpusik, J Glass 2018 IEEE Spoken Language Technology Workshop (SLT), 884-891, 2018 | 7 | 2018 |
| A food logging system for iOS with natural spoken language meal descriptions (P21-009-19) M Korpusik, S Taylor, SK Das, C Gilhooly, S Roberts, J Glass Current developments in nutrition 3, 2019 | 6 | 2019 |
| Corpus for customer purchase behavior prediction in social media S Sakaki, F Chen, M Korpusik, YY Chen Proceedings of the Tenth International Conference on Language Resources and …, 2016 | 6 | 2016 |
| Deep learning for spoken dialogue systems: application to nutrition MB Korpusik Massachusetts Institute of Technology, 2019 | 5 | 2019 |
| Use of natural spoken language with automated mapping of self-reported food intake to food composition data for low-burden real-time dietary assessment: method comparison study S Taylor, M Korpusik, S Das, C Gilhooly, R Simpson, J Glass, S Roberts Journal of Medical Internet Research 23 (12), e26988, 2021 | 4 | 2021 |
| Nutrition system demonstration M Korpusik, R Naphtal, N Schmidt, S Cyphers, J Glass Proc. SLT, 2014 | 4 | 2014 |
| Convolutional Neural Encoder for the 7th Dialogue System Technology Challenge M Korpusik, J Glass The 7th Dialog System Technology Challenge (DSTC7), 2019 | 2 | 2019 |
| Impact of Late Policies on Submission Behavior and Grades in Computer Programming M Korpusik, J Freitas, JD Dionisio 2022 ASEE Annual Conference & Exposition, 2022 | 1 | 2022 |
