Miriam Cha - Concepedia

Author

Miriam Cha

Harvard University Press

Also Known As

Cha, Miriam, Miriam Cha

Publications

734

Citations

H-Index

Concepts

All Affiliations

Harvard University Press Massachusetts Institute of Technology MIT Lincoln Laboratory Harvard University

About

Miriam Cha is an author at Harvard University Press specializing in engineering, machine learning, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	10	10	392
2	Language Studies	1	1	37
3	Medicine	1	1	200
4	Social Sciences	1	1	200
5	Biostatistics	1	1	108

Miriam Cha

Publications

667

Citations

H-Index

Page 1

	Year	Citations
Detecting Depression using Vocal, Facial and Semantic Communication Cues James R. Williamson, Elizabeth Godoy, Miriam Cha, Speech CorpusAffective NeuroscienceMental HealthPsychologySocial Sciences	2016	200
Robust local binary pattern feature sets for periocular biometric identification Juefei Xu, Miriam Cha, Joseph L. Heyman, Raw VrEngineeringMachine LearningFeature DetectionBiometrics	2010	108
Adversarial Learning of Semantic Relevance in Text to Image Synthesis Miriam Cha, Youngjune Gwon, H. T. Kung Proceedings of the AAAI Conference on Artificial Intelligence Artificial IntelligenceEngineeringMachine LearningSemantic RelevanceStyle Transfer	2019	56
Improving Sar Automatic Target Recognition Using Simulated Images Under Deep Residual Refinements Miriam Cha, Arjun Majumdar, H. T. Kung, Convolutional Neural NetworkEngineeringMachine LearningAutoencodersImage Analysis	2018	47
Development of a field artificial intelligence triage tool: Confidence in the prediction of shock, transfusion, and definitive surgical therapy in patients with truncal gunshot wounds Charlie J. Nederpelt, Ava K. Mokhtari, Osaid Alser, The Journal of Trauma: Injury, Infection, and Critical Care	2021	43
Two-Stage Change Detection for Synthetic Aperture Radar Miriam Cha, Rhonda D. Phillips, Patrick J. Wolfe, IEEE Transactions on Geoscience and Remote Sensing RadarImage AnalysisEngineeringSynthetic Aperture RadarPopulation Variances	2015	38
Language Modeling by Clustering with Word Embeddings for Text Readability Assessment Miriam Cha, Youngjune Gwon, H. T. Kung EngineeringClustering-based Language ModelSemanticsCorpus LinguisticsText Mining	2017	37
Twitter Geolocation and Regional Classification via Sparse Coding Miriam Cha, Youngjune Gwon, H. T. Kung Proceedings of the International AAAI Conference on Web and Social Media EngineeringMachine LearningData ScienceData MiningGeographic Information Retrieval	2021	35
Adversarial nets with perceptual losses for text-to-image synthesis Miriam Cha, Youngjune Gwon, H. T. Kung Generative Artificial IntelligenceAdversarial NetsImage AnalysisMachine LearningEngineering	2017	34
Multimodal Representation Learning via Maximization of Local Mutual\n Information Ruizhi Liao, Daniel Moyer, Miriam Cha, arXiv (Cornell University)	2021	32

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