• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 68 matches

• 2024
• 
  Marjan Nassajpour, Mustafa Shuqair, Amie Rosenfeld, Magdalena I. Tolea, James E. Galvin, Behnaz Ghoraani:
  Objective estimation of m-CTSIB balance test scores using wearable sensors and machine learning. Frontiers Digit. Health 6 (2024)
• 
  Murtadha D. Hssayeni, Behnaz Ghoraani:
  Deep Regression Modeling for Imbalanced and Incomplete Time-Series Data. IEEE Trans. Emerg. Top. Comput. Intell. 8(6): 3767-3778 (2024)
• 
  Mustafa Shuqair, Joohi Jimenez-Shahed, Behnaz Ghoraani:
  Reinforcement Learning-Based Adaptive Classification for Medication State Monitoring in Parkinson's Disease. IEEE J. Biomed. Health Informatics 28(10): 6168-6179 (2024)
• 
  Brennen Farrell, Julia Horn, Mahmoud Seifallahi, James E. Galvin, Behnaz Ghoraani:
  Mild Cognitive Impairment Detection through Gait Analysis and Standard Cameras. EMBC 2024: 1-4
• 
  Marjan Nassajpour, Mustafa Shuqair, Amie Rosenfeld, Magdalena I. Tolea, James E. Galvin, Behnaz Ghoraani:
  Smartphone-Based Balance Assessment Using Machine Learning. EMBC 2024: 1-4
• 
  Marjan Nassajpour, Mustafa Shuqair, D. P. T. Amie Rosenfeld, Magdalena I. Tolea, James E. Galvin, Behnaz Ghoraani:
  Integrating Wearable Sensor Technology and Machine Learning for Objective m-CTSIB Balance Score Estimation. EMBC 2024: 1-4
• 
  Shay Reardon, Mustafa Shuqair, Joohi Jimenez-Shahed, Behnaz Ghoraani:
  Wearable Sensor Configurations for Effective Tremor Assessment in Parkinson's Disease. EMBC 2024: 1-4
• 
  Mustafa Shuqair, Joohi Jimenez-Shahed, Behnaz Ghoraani:
  Shared-task Self-supervised Learning for Estimating Free Movement Unified Parkinson's Disease Rating Scale III. EMBC 2024: 1-4
• 
  Jasmine Y. Chan, Terrence M. Barnhardt, Behnaz Ghoraani, Teresa Wilcox:
  Tensor Decomposition for fNIRS-Based Purchase Intention Decoding in Neuromarketing. SiPS 2024: 37-42
• 2023
• 
  Rodrigo Capobianco Guido, Tülay Adali, Emil Björnson, Laure Blanc-Féraud, Ulisses Braga-Neto, Behnaz Ghoraani, Christian Jutten, Alle-Jan van der Veen, Hong Vicky Zhao, Xiaoxiang Zhu:
  IEEE Signal Processing Society: Celebrating 75 Years of Remarkable Achievements [From the Guest Editors]. IEEE Signal Process. Mag. 40(4): 3-6 (2023)
• 
  Rodrigo Capobianco Guido, Tülay Adali, Emil Björnson, Laure Blanc-Féraud, Ulisses Braga-Neto, Behnaz Ghoraani, Christian Jutten, Alle-Jan van der Veen, Hong Vicky Zhao, Xiaoxiang Zhu:
  IEEE Signal Processing Society: Celebrating 75 Years of Remarkable Achievements (Part 2) [From the Guest Editors]. IEEE Signal Process. Mag. 40(5): 8-11 (2023)
• 2022
• 
  Yunfeng Wu, Behnaz Ghoraani:
  Biological Signal Processing and Analysis for Healthcare Monitoring. Sensors 22(14): 5341 (2022)
• 
  Shelly Davidashvilly, Murtadha D. Hssayeni, Christopher Chi, Joohi Jimenez-Shahed, Behnaz Ghoraani:
  Activity Recognition in Parkinson's Patients from Motion Data Using a CNN Model Trained by Healthy Subjects. EMBC 2022: 3199-3202
• 
  Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Behnaz Ghoraani:
  Dyskinesia Estimation of Imbalanced Data Using a Deep-Learning Model. EMBC 2022: 3195-3198
• 
  Mahmoud Seifallahi, James E. Galvin, Behnaz Ghoraani:
  Detection of Mild Cognitive Impairment from Quantitative Analysis of Timed Up and Go (TUG). ICDM (Workshops) 2022: 248-253
• 
  Mustafa Shuqair, Joohi Jimenez-Shahed, Behnaz Ghoraani:
  Incremental Learning in Time-series Data using Reinforcement Learning. ICDM (Workshops) 2022: 868-875
• 
  Jasmine Y. Chan, Teresa Wilcox, Murtadha D. Hssayeni, Behnaz Ghoraani:
  Multidimensional Analysis of Functional Near-Infrared Spectroscopy (fNIRS) Signal using Tucker Decomposition. SMC 2022: 1317-1321
• 2021
• 
  Murtadha D. Hssayeni, Behnaz Ghoraani:
  Multi-Modal Physiological Data Fusion for Affect Estimation Using Deep Learning. IEEE Access 9: 21642-21652 (2021)
• 
  Behnaz Ghoraani, Lillian N. Boettcher, Murtadha D. Hssayeni, Amie Rosenfeld, Magdalena I. Tolea, James E. Galvin:
  Detection of mild cognitive impairment and Alzheimer's disease using dual-task gait assessments and machine learning. Biomed. Signal Process. Control. 64: 102249 (2021)
• 
  Murtadha D. Hssayeni, Arjuna Chala, Roger Dev, Lili Xu, Jesse Shaw, Borko Furht, Behnaz Ghoraani:
  The forecast of COVID-19 spread risk at the county level. J. Big Data 8(1): 99 (2021)
• 2020
• 
  Murtadha D. Hssayeni, Muayad Sadik Croock, Aymen Dawood Salman, Hassan Falah Al-khafaji, Zakaria A. Yahya, Behnaz Ghoraani:
  Intracranial Hemorrhage Segmentation Using a Deep Convolutional Model. Data 5(1): 14 (2020)
• 
  Behnaz Ghoraani, Murtadha D. Hssayeni, Michelle A. Burack, Joohi Jimenez-Shahed:
  Multilevel Features for Sensor-Based Assessment of Motor Fluctuation in Parkinson's Disease Subjects. IEEE J. Biomed. Health Informatics 24(5): 1284-1295 (2020)
• 
  Lillian N. Boettcher, Murtadha D. Hssayeni, Amie Rosenfeld, Magdalena I. Tolea, James E. Galvin, Behnaz Ghoraani:
  Dual-Task Gait Assessment and Machine Learning for Early-detection of Cognitive Decline. EMBC 2020: 3204-3207
• 
  Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Michelle A. Burack, Behnaz Ghoraani:
  Dyskinesia Severity Estimation in Patients with Parkinson's Disease Using Wearable Sensors and A Deep LSTM Network. EMBC 2020: 6001-6004
• 
  Murtadha D. Hssayeni, Teresa Wilcox, Behnaz Ghoraani:
  Tensor Decomposition of Functional Near-Infrared Spectroscopy (fNIRS) Signals for Pattern Discovery of Cognitive Response in Infants. EMBC 2020: 394-397
• 2019
• 
  Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Behnaz Ghoraani:
  Hybrid Feature Extraction for Detection of Degree of Motor Fluctuation Severity in Parkinson's Disease Patients. Entropy 21(2): 137 (2019)
• 
  Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Michelle A. Burack, Behnaz Ghoraani:
  Wearable Sensors for Estimation of Parkinsonian Tremor Severity during Free Body Movements. Sensors 19(19): 4215 (2019)
• 
  Murtadha D. Hssayeni, Joohi Jimenez-Shahed, Michelle A. Burack, Behnaz Ghoraani:
  Symptom-based, Dual-channel LSTM Network for The Estimation of Unified Parkinson's Disease Rating Scale III. BHI 2019: 1-4
• 
  Prasanth Ganesan, Sivaramakrishnan Rajaraman, L. Rodney Long, Behnaz Ghoraani, Sameer K. Antani:
  Assessment of Data Augmentation Strategies Toward Performance Improvement of Abnormality Classification in Chest Radiographs. EMBC 2019: 841-844
• 
  Prasanth Ganesan, Zhiyun Xue, Sanjana Singh, L. Rodney Long, Behnaz Ghoraani, Sameer K. Antani:
  Performance Evaluation of a Generative Adversarial Network for Deblurring Mobile-phone Cervical Images. EMBC 2019: 4487-4490

skipping 38 more matches