An Efficient Nearest Neighbor Classifier Using an Adaptive Distance Measure. - Omid Dehzangi; Mansoor J. Zolghadri; Shahram Taheri; Abdollah Dehzangi (CAIP, 2007)

Efficient Fuzzy Rule Generation: A New Approach Using Data Mining Principles and Rule Weighting. - Omid Dehzangi; Mansoor J. Zolghadri; Shahram Taheri; Seyed Mostafa Fakhrahmad (FSKD (2), 2007)

High Performance Classification of Two Imagery Tasks in the Cue-Based Brain Computer Interface. - Omid Dehzangi; Mansoor Zolghadri Jahromi; Shahram Taheri (PRIB, 2007)

Fuzzy rule selection using Iterative Rule Learning for speech data classification. - Omid Dehzangi; Bin Ma 001; Chng Eng Siong; Haizhou Li 001 (ICPR, 2008)

Discriminative Output Coding Features for Speech Recognition. - Omid Dehzangi; Bin Ma 001; Chng Eng Siong; Haizhou Li 001 (ISCSLP, 2008)

Inducing Cooperation in Fuzzy Classification Rules using Iterative Rule Learning and Rule-weighting. - Omid Dehzangi; Ehsan Younessian; Fariborz Hosseini Fard (ICINCO-ICSO, 2009)

An Adaptive Classifier Design for Accurate Speech Data Classification. - Omid Dehzangi; Ehsan Younessian; Fariborz Hosseini Fard (ICINCO-RA, 2009)

Discriminative feature transformation using output coding for speech recognition. - Omid Dehzangi; Bin Ma 001; Engsiong Chng; Haizhou Li 001 (INTERSPEECH, 2009)

Enhancing Protein Fold Prediction Accuracy Using an Ensemble of Different Classifiers. - Abdollah Dehzangi; Somnuk Phon-Amnuaisuk; Omid Dehzangi (Aust. J. Intell. Inf. Process. Syst., 2009)

Error corrective classifier fusion for spoken Language Recognition. - Omid Dehzangi; Bin Ma 001; Engsiong Chng; Haizhou Li 001 (ICASSP, 2010)

Framewise Phone Classification Using Weighted Fuzzy Classification Rules. - Omid Dehzangi; Bin Ma 001; Engsiong Chng; Haizhou Li 001 (ICPR, 2010)

A discriminative performance metric for GMM-UBM speaker identification. - Omid Dehzangi; Bin Ma 001; Engsiong Chng; Haizhou Li 001 (INTERSPEECH, 2010)

Using Random Forest for Protein Fold Prediction Problem: An Empirical Study. - Abdollah Dehzangi; Somnuk Phon-Amnuaisuk; Omid Dehzangi (J. Inf. Sci. Eng., 2010)

Error Corrective Fusion of Classifier Scores for Spoken Language Recognition. - Omid Dehzangi; Bin Ma 001; Engsiong Chng; Haizhou Li 001 (IEICE Trans. Inf. Syst., 2011)

Brain-Computer Interface Signal Processing Algorithms: A Computational Cost vs. Accuracy Analysis for Wearable Computers. - Ali Ahmadi; Omid Dehzangi; Roozbeh Jafari (BSN, 2012)

Discriminative feature extraction for speech recognition using continuous output codes. - Omid Dehzangi; Bin Ma 001; Engsiong Chng; Haizhou Li 001 (Pattern Recognit. Lett., 2012)

Score-based adaptive training for P300 speller Brain-Computer Interface. - Yuan Zou; Omid Dehzangi; Roozbeh Jafari (ICASSP, 2013)

The impact of vibrotactile biofeedback on the excessive walking sway and the postural control in elderly. - Omid Dehzangi; Zheng Zhao; Mohammad-Mahdi Bidmeshki; John Biggan; Christopher Ray; Roozbeh Jafari (Wireless Health, 2013)

A 16-channel bluetooth enabled wearable EEG platform with dry-contact electrodes for brain computer interface. - Viswam Nathan; Jian Wu 016; Chengzhi Zong; Yuan Zou; Omid Dehzangi; Mary Reagor; Roozbeh Jafari (Wireless Health, 2013)

BCIBench: a benchmarking suite for EEG-based brain computer interface. - Roozbeh Jafari; Omid Dehzangi; Chengzhi Zong; Viswam Nathan (ODES@CGO, 2014)

A novel stimulation for multi-class SSVEP-based brain-computer interface using patterns of time-varying frequencies. - Omid Dehzangi; Viswam Nathan; Chengzhi Zong; Chang W. Lee; Insoo Kim; Roozbeh Jafari (EMBC, 2014)

Automatic removal of EEG artifacts using electrode-scalp impedance. - Yuan Zou; Omid Dehzangi; Viswam Nathan; Roozbeh Jafari (ICASSP, 2014)

Towards multi-modal wearable driver monitoring: Impact of road condition on driver distraction. - Omid Dehzangi; Cayce Williams (BSN, 2015)

Multi-Modal Biological Driver Monitoring via Ubiquitous Wearable Body Sensor Network. - Omid Dehzangi; Cayce Williams (Digital Health, 2015)

Time-varying and simultaneous frequency stimulation for multi-class SSVEP-based brain-computer interface. - Omid Dehzangi; Roozbeh Jafari (EMBC, 2015)

The impact of secondary tasks on drivers during naturalistic driving: Analysis of EEG dynamics. - Vahid Alizadeh; Omid Dehzangi (ITSC, 2016)

Identification of real-time driver distraction using optimal subBand detection powered by Wavelet Packet Transform. - Shantanu V. Deshmukh; Omid Dehzangi (BSN, 2017)

High accuracy wearable SSVEP detection using feature profiling and dimensionality reduction. - Muhamed Farooq; Omid Dehzangi (BSN, 2017)

Detection of distraction under naturalistic driving using Galvanic Skin Responses. - Vikas Rajendra; Omid Dehzangi (BSN, 2017)

Brace Treatment Monitoring Solution for Idiopathic Scoliosis Patients. - Bhavani Anantapur Bache; Omar Iftikhar; Omid Dehzangi (ICMLA, 2017)

Subject-Dependent SSVEP Identification Using GMM Training and Adaptation. - Omid Dehzangi; Muhamed Farooq (ICMLA, 2017)

ECG-Based Driver Distraction Identification Using Wavelet Packet Transform and Discriminative Kernel-Based Features. - Shantanu V. Deshmukh; Omid Dehzangi (SMARTCOMP, 2017)

IMU-Based Gait Recognition Using Convolutional Neural Networks and Multi-Sensor Fusion. - Omid Dehzangi; Mojtaba Taherisadr; Raghvendar ChangalVala (Sensors, 2017)

Single Channel EEG Artifact Identification Using Two-Dimensional Multi-Resolution Analysis. - Mojtaba Taherisadr; Omid Dehzangi; Hossein Parsaei (Sensors, 2017)

SSVEP recognition using discriminative score fusion and transformation for portable brain computer interface. - Omid Dehzangi; Muhamed Farooq (BHI, 2018)

Wearable Brain Computer Interface (BCI) to assist communication in the Intensive Care Unit (ICU). - Omid Dehzangi; Muhamed Farooq (ICCE, 2018)

Force and activity monitoring system for scoliosis patients wearing back braces. - Omid Dehzangi; Omar Iftikhar; Bhavani Anantapur Bache; Jeffrey Wensman; Ying Li (ICCE, 2018)

Activity Detection using Fusion of Multi-Pressure Sensors in Insoles. - Omid Dehzangi; Bhavani Anantapur Bache; Omar Iftikhar (ICPR, 2018)

Unobtrusive Driver Drowsiness Prediction Using Driving Behavior from Vehicular Sensors. - Omid Dehzangi; Selvamani Masilamani (ICPR, 2018)

IMU-Based Robust Human Activity Recognition using Feature Analysis, Extraction, and Reduction. - Omid Dehzangi; Vaishali Sahu (ICPR, 2018)

Driver Distraction Detection using MEL Cepstrum Representation of Galvanic Skin Responses and Convolutional Neural Networks. - Omid Dehzangi; Mojtaba Taherisadr (ICPR, 2018)

Multi-modal system to detect on-the-road driver distraction. - Omid Dehzangi; Vaishali Sahu; Mojtaba Taherisadr; Scott Galster (ITSC, 2018)

Wearable Driver Distraction Identification On-The-Road via Continuous Decomposition of Galvanic Skin Responses. - Omid Dehzangi; Vikas Rajendra; Mojtaba Taherisadr (Sensors, 2018)

Context-Aware Sensor Solution for Remote Monitoring of Adolescent Idiopathic Scoliosis Brace Treatment. - Omid Dehzangi; Bhavani Anantapur Bache; Omar Iftikhar; Jeffrey Wensman; Ying Li (Advances in Body Area Networks I, 2019)

Automatic EEG Blink Detection Using Dynamic Time Warping Score Clustering. - Omid Dehzangi; Alexander Melville; Mojtaba Taherisadr (Advances in Body Area Networks I, 2019)

Wearable Galvanic Skin Response for Characterization and Identification of Distraction During Naturalistic Driving. - Omid Dehzangi; Vikas Rajendra (Advances in Body Area Networks I, 2019)

EEG Based Driver Inattention Identification via Feature Profiling and Dimensionality Reduction. - Omid Dehzangi; Mojtaba Taherisadr (Advances in Body Area Networks I, 2019)

Motion-Based Gait Identification Using Spectro-temporal Transform and Convolutional Neural Networks. - Omid Dehzangi; Mojtaba Taherisadr; Raghvendar ChangalVala; Priyanka Asnani (Advances in Body Area Networks I, 2019)

Characterization and Identification of Driver Distraction During Naturalistic Driving: An Analysis of ECG Dynamics. - Shantanu V. Deshmukh; Omid Dehzangi (Advances in Body Area Networks I, 2019)

EEG-Based Driver Distraction Detection via Game-Theoretic-Based Channel Selection. - Mojtaba Taherisadr; Omid Dehzangi (Advances in Body Area Networks I, 2019)

Efficient Oct Image Segmentation Using Neural Architecture Search. - Saba Heidari Gheshlaghi; Omid Dehzangi; Ali Dabouei; Annahita Amireskandari; Ali Rezai; Nasser M. Nasrabadi (ICIP, 2020)

OCT Image Segmentation Using Neural Architecture Search and SRGAN. - Omid Dehzangi; Saba Heidari Gheshlaghi; Annahita Amireskandari; Nasser M. Nasrabadi; Ali Rezai (ICPR, 2020)

XGBoost to Interpret the Opioid Patients' State Based on Cognitive and Physiological Measures. - Omid Dehzangi; Arash Shokouhmand; Paria Jeihouni; Jad Ramadan; Victor S. Finomore; Nasser M. Nasrabadi; Ali Rezai (ICPR, 2020)

Physiological Monitoring Of Front-Line Caregivers For Cv-19 Symptoms: Multi-Resolution Analysis & Convolutional-Recurrent Networks. - Omid Dehzangi; Paria Jeihouni; Victor S. Finomore; Ali Rezai (ICIP, 2021)

Gan-Based Super-Resolution and Segmentation of Retinal Layers in Optical Coherence Tomography Scans. - Paria Jeihouni; Omid Dehzangi; Annahita Amireskandari; Ali Rezai; Nasser M. Nasrabadi (ICIP, 2021)

Ubiquitous Physiological Prediction of SUD Patients' Wellness State Using Memory-Based Convolutional Models. - Omid Dehzangi; Paria Jeihouni; Jad Ramadan; Victor S. Finomore; Nasser M. Nasrabadi; Ali Rezai (ICASSP, 2022)

Superresolution and Segmentation of OCT Scans Using Multi-Stage Adversarial Guided Attention Training. - Paria Jeihouni; Omid Dehzangi; Annahita Amireskandari; Ali Dabouei; Ali Rezai; Nasser M. Nasrabadi (ICASSP, 2022)

MultiSDGAN: Translation of OCT Images to Superresolved Segmentation Labels Using Multi-Discriminators in Multi-Stages. - Paria Jeihouni; Omid Dehzangi; Annahita Amireskandari; Ali Rezai; Nasser M. Nasrabadi (IEEE J. Biomed. Health Informatics, 2022)