James R. Williamson

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Thomas QuatieriMITDirección de correo verificada de ll.mit.edu
Brian S. HelferAssociate Staff in Bioengineering Systems and Technologies, MIT Lincoln LaboratoryDirección de correo verificada de ll.mit.edu
Daryush D. Mehta, PhDDirector of Voice Science and Technology Laboratory, Center for Laryngeal Surgery and VoiceDirección de correo verificada de alum.mit.edu
Gregory CiccarelliApplied Scientist, AmazonDirección de correo verificada de mit.edu
Stephen GrossbergWang Professor of Cognitive and Neural Systems, Boston UniversityDirección de correo verificada de bu.edu
Adam LammertAssistant Professor, Mathematics & Computer Science, College of the Holy CrossDirección de correo verificada de holycross.edu
Bea YuAVP, Artificial IntelligenceDirección de correo verificada de voya.com
Christopher SmaltMIT Lincoln Laboratory; Human Health & Performance Systems GroupDirección de correo verificada de mit.edu
Daniel W. BlissProfessor, Electrical, Computer, and Energy Engineering, Director WISCA, Arizona State UniversityDirección de correo verificada de asu.edu
Rachelle Horwitz-MartinDirección de correo verificada de mit.edu
Isao HayashiKansai UniversityDirección de correo verificada de kansai-u.ac.jp
Tejash PatelMIT Lincoln LabsDirección de correo verificada de ll.mit.edu
James MundtSand Ridge Secure Treatment CenterDirección de correo verificada de dhs.wisconsin.gov
Buller, mjBrown University / USARIEMDirección de correo verificada de brown.edu
Ennio MingollaNortheastern University, Department of Communication Sciences and DisordersDirección de correo verificada de neu.edu
David PaydarfarDell Medical School, The University of Texas at AustinDirección de correo verificada de austin.utexas.edu
Pooya KhorramiMIT Lincoln LaboratoryDirección de correo verificada de ll.mit.edu
Youngjune GwonExecutive Vice President, Samsung SDSDirección de correo verificada de samsung.com
Miriam ChaMIT Lincoln Laboratory, Harvard UniversityDirección de correo verificada de g.harvard.edu
H. T. KungProfessor, Harvard UniversityDirección de correo verificada de harvard.edu

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James R. Williamson

Technical Staff in Human Health & Performance Systems, Lincoln Laboratory

Dirección de correo verificada de ll.mit.edu

biomedical prediction signal processing machine learning cortical processing


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Gaussian ARTMAP: A neural network for fast incremental learning of noisy multidimensional maps JR Williamson Neural networks 9 (5), 881-897, 1996	438	1996
Seizure prediction using EEG spatiotemporal correlation structure JR Williamson, DW Bliss, DW Browne, JT Narayanan Epilepsy & behavior 25 (2), 230-238, 2012	254	2012
Vocal and facial biomarkers of depression based on motor incoordination and timing JR Williamson, TF Quatieri, BS Helfer, G Ciccarelli, DD Mehta Proceedings of the 4th international workshop on audio/visual emotion …, 2014	250	2014
Detecting Depression using Vocal, Facial and Semantic Communication Cues JR Williamson, E Godoy, M Cha, A Schwarzentruber, P Khorrami, Y Gwon, ... AVEC '16 Proceedings of the 6th International Workshop on Audio/Visual …, 2016	244	2016
A neural model of how horizontal and interlaminar connections of visual cortex develop into adult circuits that carry out perceptual grouping and learning S Grossberg, JR Williamson Cerebral cortex 11 (1), 37-58, 2001	242	2001
Vocal biomarkers of depression based on motor incoordination JR Williamson, TF Quatieri, BS Helfer, R Horwitz, B Yu, DD Mehta Proceedings of the 3rd ACM international workshop on Audio/visual emotion …, 2013	239	2013
Synthetic aperture radar processing by a multiple scale neural system for boundary and surface representation S Grossberg, E Mingolla, J Williamson Neural Networks 8 (7-8), 1005-1028, 1995	158	1995
On the relative importance of vocal source, system, and prosody in human depression R Horwitz, TF Quatieri, BS Helfer, B Yu, JR Williamson, J Mundt 2013 IEEE international conference on body sensor networks, 1-6, 2013	82	2013
Tracking depression severity from audio and video based on speech articulatory coordination JR Williamson, D Young, AA Nierenberg, J Niemi, BS Helfer, TF Quatieri Computer Speech & Language 55, 40-56, 2019	80	2019
Classification of depression state based on articulatory precision. BS Helfer, TF Quatieri, JR Williamson, DD Mehta, R Horwitz, B Yu Interspeech, 2172-2176, 2013	74	2013
Epileptic seizure prediction using the spatiotemporal correlation structure of intracranial EEG JR Williamson, DW Bliss, DW Browne 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011	61	2011
A constructive, incremental-learning network for mixture modeling and classification JR Williamson Neural Computation 9 (7), 1517-1543, 1997	59	1997
A self-organizing neural system for learning to recognize textured scenes S Grossberg, JR Williamson Vision Research 39 (7), 1385-1406, 1999	56	1999
A Gaussian adaptive resonance theory neural network classification algorithm applied to supervised land cover mapping using multitemporal vegetation index data D Muchoney, J Williamson IEEE transactions on Geoscience and Remote Sensing 39 (9), 1969-1977, 2001	52	2001
Segment-dependent dynamics in predicting parkinson's disease. JR Williamson, TF Quatieri, BS Helfer, J Perricone, SS Ghosh, ... Interspeech, 518-522, 2015	51	2015
Generalized two-stage rank regression framework for depression score prediction from speech N Cummins, V Sethu, J Epps, JR Williamson, TF Quatieri, J Krajewski IEEE Transactions on Affective Computing 11 (2), 272-283, 2017	48	2017
Cognitive impairment prediction in the elderly based on vocal biomarkers B Yu, TF Quatieri, JR Williamson, JC Mundt Sixteenth Annual Conference of the International Speech Communication …, 2015	46	2015
Assessment of speech and fine motor coordination in children with autism spectrum disorder T Talkar, JR Williamson, DJ Hannon, HM Rao, S Yuditskaya, KT Claypool, ... IEEE Access 8, 127535-127545, 2020	43	2020
Self-organization of topographic mixture networks using attentional feedback JR Williamson Neural Computation 13 (3), 563-593, 2001	39	2001
Domain adaptation for enhancing Speech-based depression detection in natural environmental conditions using dilated CNNs. Z Huang, J Epps, D Joachim, B Stasak, JR Williamson, TF Quatieri INTERSPEECH, 4561-4565, 2020	36	2020

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