James R. Williamson

Cited by

	All	Since 2019
Citations	3253	1538
h-index	28	21
i10-index	48	38

300

150

225

19951996199719981999200020012002200320042005200620072008200920102011201220132014201520162017201820192020202120222023202416 24 16 29 36 35 60 49 124 66 61 74 87 58 51 41 41 42 54 89 117 134 170 184 203 241 288 271 275 254

Public access

View all

26 articles

12 articles

available

not available

Based on funding mandates

Co-authors

Thomas QuatieriMITVerified email at ll.mit.edu
Brian S. HelferAssociate Staff in Bioengineering Systems and Technologies, MIT Lincoln LaboratoryVerified email at ll.mit.edu
Daryush D. Mehta, PhDDirector of Voice Science and Technology Laboratory, Center for Laryngeal Surgery and VoiceVerified email at alum.mit.edu
Gregory CiccarelliApplied Scientist, AmazonVerified email at mit.edu
Stephen GrossbergWang Professor of Cognitive and Neural Systems, Boston UniversityVerified email at bu.edu
Adam LammertAssistant Professor, Mathematics & Computer Science, College of the Holy CrossVerified email at holycross.edu
Bea YuAVP, Artificial IntelligenceVerified email at voya.com
Christopher SmaltMIT Lincoln Laboratory; Human Health & Performance Systems GroupVerified email at mit.edu
Daniel W. BlissProfessor, Electrical, Computer, and Energy Engineering, Director WISCA, Arizona State UniversityVerified email at asu.edu
Rachelle Horwitz-MartinVerified email at mit.edu
Isao HayashiKansai UniversityVerified email at kansai-u.ac.jp
Tejash PatelMIT Lincoln LabsVerified email at ll.mit.edu
James MundtSand Ridge Secure Treatment CenterVerified email at dhs.wisconsin.gov
Buller, mjBrown University / USARIEMVerified email at brown.edu
Ennio MingollaNortheastern University, Department of Communication Sciences and DisordersVerified email at neu.edu
David PaydarfarDell Medical School, The University of Texas at AustinVerified email at austin.utexas.edu
Pooya KhorramiMIT Lincoln LaboratoryVerified email at ll.mit.edu
Youngjune GwonExecutive Vice President, Samsung SDSVerified email at samsung.com
Miriam ChaMIT Lincoln Laboratory, Harvard UniversityVerified email at g.harvard.edu
H. T. KungProfessor, Harvard UniversityVerified email at harvard.edu

James R. Williamson

Technical Staff in Human Health & Performance Systems, Lincoln Laboratory

Verified email at ll.mit.edu

biomedical prediction signal processing machine learning cortical processing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Gaussian ARTMAP: A neural network for fast incremental learning of noisy multidimensional maps JR Williamson Neural networks 9 (5), 881-897, 1996	436	1996
Seizure prediction using EEG spatiotemporal correlation structure JR Williamson, DW Bliss, DW Browne, JT Narayanan Epilepsy & behavior 25 (2), 230-238, 2012	252	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	248	2014
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	236	2013
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	235	2016
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	80	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	79	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	73	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	59	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
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	47	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	45	2017
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	42	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	34	2020

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors