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M. Korpusik · SciRah

Researcher profile · Semantic Scholar

M. Korpusik

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M. Korpusik — researcher profile on SciRah

h-index: 10
Works: 27
Citations: 272

Most-cited papers

Recurrent Neural Networks for Customer Purchase Prediction on Twitter
M. Korpusik, Shigeyuki Sakaki, Francine Chen, Yan-Ying Chen
2016CBRecSys@RecSys44 citations
Semantic Scholar
Spoken Language Understanding for a Nutrition Dialogue System
M. Korpusik, James R. Glass
2017IEEE/ACM Transactions on Audio Speech and Language Processing35 citations Open access
Semantic Scholar
Semantic mapping of natural language input to database entries via convolutional neural networks
M. Korpusik, Zachary Collins, James R. Glass
2017IEEE International Conference on Acoustics, Speech, and Signal Processing29 citations
Semantic Scholar
Data collection and language understanding of food descriptions
M. Korpusik, Nicole Schmidt, Jennifer Drexler, S. Cyphers +1 more
2014Spoken Language Technology Workshop23 citations
Semantic Scholar
A Comparison of Deep Learning Methods for Language Understanding
M. Korpusik, Zoe Liu, James R. Glass
2019Interspeech20 citations
Semantic Scholar
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
Salima F Taylor, M. Korpusik, S. Das, C. Gilhooly +3 more
2021Journal of Medical Internet Research19 citations Open access
Semantic Scholar
Distributional semantics for understanding spoken meal descriptions
M. Korpusik, Calvin Huang, Michael Price, James R. Glass
2016IEEE International Conference on Acoustics, Speech, and Signal Processing19 citations
Semantic Scholar
Deep Learning for Database Mapping and Asking Clarification Questions in Dialogue Systems
M. Korpusik, James R. Glass
2019IEEE/ACM Transactions on Audio Speech and Language Processing14 citations
Semantic Scholar
Character-Based Embedding Models and Reranking Strategies for Understanding Natural Language Meal Descriptions
M. Korpusik, Zachary Collins, James R. Glass
2017Interspeech13 citations
Semantic Scholar
Convolutional Neural Networks and Multitask Strategies for Semantic Mapping of Natural Language Input to a Structured Database
M. Korpusik, James R. Glass
2018IEEE International Conference on Acoustics, Speech, and Signal Processing12 citations
Semantic Scholar
Corpus for Customer Purchase Behavior Prediction in Social Media
Shigeyuki Sakaki, Francine Chen, M. Korpusik, Yan-Ying Chen
2016International Conference on Language Resources and Evaluation8 citations Open access
Semantic Scholar
A Food Logging System for iOS with Natural Spoken Language Meal Descriptions (P21-009-19).
M. Korpusik, Salima F Taylor, S. Das, C. Gilhooly +2 more
2019Current Developments in Nutrition7 citations Open access
Semantic Scholar
Convolutional Neural Networks for Dialogue State Tracking without Pre-Trained Word Vectors or Semantic Dictionaries
M. Korpusik, James R. Glass
2018Spoken Language Technology Workshop7 citations
Semantic Scholar
Dialogue State Tracking with Convolutional Semantic Taggers
M. Korpusik, James R. Glass
2019IEEE International Conference on Acoustics, Speech, and Signal Processing6 citations
Semantic Scholar
Deep learning for spoken dialogue systems: application to nutrition
M. Korpusik
20193 citations
Semantic Scholar
Metrics and similarities in modeling dependencies between continuous and nominal data
M. Grabowski, M. Korpusik
20133 citations
Semantic Scholar
Multi-Modal Food Classification in a Diet Tracking System with Spoken and Visual Inputs
Shivani Gowda, Yi-Fan Hu, M. Korpusik
2023IEEE International Conference on Acoustics, Speech, and Signal Processing2 citations
Semantic Scholar
A New Dataset for Natural Language Understanding of Exercise Logs in a Food and Fitness Spoken Dialogue System
Maya Epps, J. Uribe, M. Korpusik
2021Spoken Language Technology Workshop2 citations
Semantic Scholar
Convolutional Neural Encoder for the 7 th Dialogue System Technology Challenge
M. Korpusik, James R. Glass
20182 citations
Semantic Scholar
NUTRITION SYSTEM DEMONSTRATION
M. Korpusik, Rachael Naphtal, Nicole Schmidt, S. Cyphers +1 more
20142 citations
Semantic Scholar
Testing the Validity of a Natural Spoken Language Application for the Self-Monitoring of Daily Dietary Intake (P13-035-19).
Rachel E. Silver, M. Korpusik, Salima F Taylor, S. Das +3 more
2019Current Developments in Nutrition1 citations Open access
Semantic Scholar
Case Study: Game Theory
M. Grossman, M. Korpusik
20111 citations
Semantic Scholar
A Smartphone App to Improve Intuitive Eating and Diet Quality: Design and Usability Study
M. Korpusik, D. Yazdansepas, H. Almstedt
2025JMIR Human Factors0 citations Open access
Semantic Scholar
Comparison of Energy Intake Determined by a Natural Spoken Language Application with 24-h Recall
Salima F Taylor, M. Korpusik, Rachel E. Silver, S. Das +3 more
2020Current Developments in Nutrition0 citations Open access
Semantic Scholar
CONVOLUTIONAL NEURAL NETWORKS AND MULTITASK STRATEGIES FOR SEMANTIC MAPPING OF NATURAL LANGUAGE INPUT TO A STRUCTURED DATABASE - 0006174
M. Korpusik, James R. Glass
20180 citations
Semantic Scholar
Merge : a Distributed Collaborative Editor
G. Balakrishnan, M. Korpusik, Amy Ousterhout
20140 citations
Semantic Scholar
Location-Based App for iOS Platform (Parietal Systems)
R. Bobbins, M. Grossman, M. Korpusik, Jing Li +1 more
20130 citations
Semantic Scholar

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