Isar Nejadgholi
Isar Nejadgholi
Research Scientist at NRC
Verified email at
Cited by
Cited by
Using phase space reconstruction for patient independent heartbeat classification in comparison with some benchmark methods
I Nejadgholi, MH Moradi, F Abdolali
Computers in Biology and Medicine, 2011
A Comparative Study of PCA, SIMCA and Cole model for Classification of Bioimpedance Spectroscopy Measurements
I Nejadgholi, M Bolic
Computers in Biology and Medicine, 2015
Nonlinear enhancement of noisy speech, using continuous attractor dynamics formed in recurrent neural networks
L Dehyadegary, SA Seyyedsalehi, I Nejadgholi
Neurocomputing 74 (17), 2716-2724, 2011
Nonlinear normalization of input patterns to speaker variability in speech recognition neural networks
I Nejadgholi, SA Seyyedsalehi
Neural computing and applications 18 (1), 45-55, 2009
Model of cholera dissemination using geographic information systems and fuzzy clustering means: case study, Chabahar, Iran
Z Pezeshki, M Tafazzoli-Shadpour, A Mansourian, B Eshrati, E Omidi, ...
Public health 126 (10), 881-887, 2012
A Review of Standard Text Classification Practices for Multi-label Toxicity Identification of Online Content
I Nejadgholi, I Gunasekara
EMNLP2018, 2018
Preprocessing and Parameterizing Bioimpedance Spectroscopy Measurements By Singular Value Decomposition
I Nejadgholi, H Caytak, I Batkin, M Bolic, S Shirmohammadi
Physiological Mesurements 36, 983-999, 2015
A brain-inspired method of facial expression generation using chaotic feature extracting bidirectional associative memory
I Nejadgholi, SA SeyyedSalehi, S Chartier
Neural Processing Letters 46 (3), 943-960, 2017
Time-Frequency Based Contactless Estimation of Vital Signs of Human While Walking Using PMCW Radar
I Nejadgholi, S Rajan, M Bolic
18th International Conference on Ehealth, Networking, Applications and Services, 2016
Classification of Doppler radar reflections as preprocessing for breathing rate monitoring
I Nejadgholi, H Sadreazami, S Rajan, M Bolic
IET Signal Processing 13 (1), 21-28, 2018
A Semi-Supervised Training Method for Semantic Search of Legal Facts in Canadian Immigration Cases
I Nejadgholi, R Bougoun, S Whitherspoon
JURIX2017 30, 1-10, 2017
Model of cholera forecasting using artificial neural network in Chabahar City, Iran
Z Pezeshki, M Tafazzoli-Shadpour, I Nejadgholi, A Mansourian, M Rahbar
International Journal of Enteric Pathog 4 (1), 23-30, 2016
Classification of responders versus non-responders to tDCS by analyzing voltage between anode and cathode during treatment session
I Nejadgholi, T Davidson, C Blais, F Tremblay, M Bolic
World Congress on Medical Physics and Biomedical Engineering (WC 2015), 2015
A chaotic feature extracting BAM and its application in implementing memory search
I Nejadgholi, SA Seyyedsalehi, S Chartier
Neural processing letters 36 (1), 69-99, 2012
A new brain-inspired robust face recognition through elimination of variation features
I Nejadgholi, SA Seyyedsalehi
Procedia-Social and Behavioral Sciences 32, 204-212, 2012
Recognizing umls semantic types with deep learning
I Nejadgholi, KC Fraser, B De Bruijn, M Li, A LaPlante, KZ El Abidine
Proceedings of the Tenth International Workshop on Health Text Mining and …, 2019
Extracting UMLS Concepts from Medical Text Using General and Domain-Specific Deep Learning Models
KC Fraser, I Nejadgholi, B De Bruijn, M Li, A LaPlante, KZE Abidine
arXiv preprint arXiv:1910.01274, 2019
Using Bioimpedance Spectroscopy Parameters as Real-Time Feedback During tDCS
I Nejadgholi, H Caytak, M Bolic
38th Annual International Conference of IEEE Engineering in Biology and …, 2016
Bioimpedance spectroscopy method for investigating changes to intracranial dose during transcranial direct current stimulation
H Caytak, I Nejadgholi, I Batkin, M Bolic
2015 37th Annual International Conference of the IEEE Engineering in …, 2015
Segmental Spectral Decomposition as a Time Persistent Method of BioImpedance Spectroscopy Feature Extraction
I Nejadgholi, I Batkin, M Bolic, A Adler, S Shirmohammadi
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