James R. Williamson
James R. Williamson
Technical Staff in Bioengineering Systems and Technologies, MIT Lincoln Laboratory
Verified email at ll.mit.edu
TitleCited byYear
Gaussian ARTMAP: A neural network for fast incremental learning of noisy multidimensional maps
JR Williamson
Neural networks 9 (5), 881-897, 1996
3791996
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
2262001
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
1301995
Seizure prediction using EEG spatiotemporal correlation structure
JR Williamson, DW Bliss, DW Browne, JT Narayanan
Epilepsy & Behavior 25 (2), 230-238, 2012
1202012
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
1162014
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
1122013
A constructive, incremental-learning network for mixture modeling and classification
JR Williamson
Neural Computation 9 (7), 1517-1543, 1997
521997
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
482016
A self-organizing neural system for learning to recognize textured scenes
S Grossberg, JR Williamson
Vision Research 39 (7), 1385-1406, 1999
481999
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
432001
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
392011
Self-organization of topographic mixture networks using attentional feedback
JR Williamson
Neural Computation 13 (3), 563-593, 2001
372001
Classification of depression state based on articulatory precision.
BS Helfer, TF Quatieri, JR Williamson, DD Mehta, R Horwitz, B Yu
Interspeech, 2172-2176, 2013
332013
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
312013
Segment-dependent dynamics in predicting Parkinson's disease
JR Williamson, TF Quatieri, BS Helfer, J Perricone, SS Ghosh, G Ciccarelli, ...
Sixteenth annual conference of the international speech communication …, 2015
292015
Acquisition of fuzzy knowledge from topographic mixture networks with attentional feedback
IH Yashi, JR Williamson
IJCNN'01. International Joint Conference on Neural Networks. Proceedings …, 2001
242001
Prediction of cognitive performance in an animal fluency task based on rate and articulatory markers
B Yu, TF Quatieri, JR Williamson, JC Mundt
Fifteenth Annual Conference of the International Speech Communication …, 2014
222014
Forecasting respiratory collapse: theory and practice for averting life-threatening infant apneas
JR Williamson, DW Bliss, D Paydarfar
Respiratory physiology & neurobiology 189 (2), 223-231, 2013
182013
Articulatory dynamics and coordination in classifying cognitive change with preclinical mTBI
BS Helfer, TF Quatieri, JR Williamson, L Keyes, B Evans, WN Greene, ...
Fifteenth Annual Conference of the International Speech Communication …, 2014
172014
Individualized apnea prediction in preterm infants using cardio-respiratory and movement signals
JR Williamson, DW Bliss, DA Browne, P Indic, E Bloch-Salisbury, ...
Body Sensor Networks (BSN), 2013 IEEE International Conference on, 1-6, 2013
172013
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