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Journal of Imaging
|
December 22, 2023
CL3: Generalization of Contrastive Loss for Lifelong Learning
Kaushik Roy, Christian Simon, Peyman Moghadam, et al.
Neural Networks : the Official Journal of the International Neural Network Society
|
August 25, 2023
Subspace distillation for continual learning
Kaushik Roy, Christian Simon, Peyman Moghadam, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
July 22, 2011
Fast vanishing-point detection in unstructured environments
Peyman Moghadam, Janusz A Starzyk, W S Wijesoma
Neural Networks : the Official Journal of the International Neural Network Society
|
June 24, 2025
Flashbacks to harmonize stability and plasticity in continual learning
Leila Mahmoodi, Peyman Moghadam, Munawar Hayat, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
July 24, 2023
Exploiting Field Dependencies for Learning on Categorical Data
Zhibin Li, Piotr Koniusz, Lu Zhang, et al.
Journal of Hazardous Materials
|
May 4, 2024
Graph neural networks-enhanced relation prediction for ecotoxicology (GRAPE)
Gaurangi Anand, Piotr Koniusz, Anupama Kumar, et al.
Journal of Sports Science & Medicine
|
September 3, 2020
Thermal Infrared Imaging Can Differentiate Skin Temperature Changes Associated With Intense Single Leg Exercise, But Not With Delayed Onset of Muscle Soreness
Ian B Stewart, Peyman Moghadam, David N Borg, et al.
Iranian Journal of Public Health
|
October 30, 2023
The Prevalence of Hypertension and Obesity in Iranian Professional Drivers
Akbar Nikpajouh, Feridoun Noohi, Mokhtar Malakpour, et al.
Advanced Materials (Deerfield Beach, Fla.)
|
May 23, 2022
How Reproducible are Surface Areas Calculated from the BET Equation?
Johannes W M Osterrieth, James Rampersad, David Madden, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
Journal of Imaging
|
December 22, 2023
CL3: Generalization of Contrastive Loss for Lifelong Learning
Kaushik Roy, Christian Simon, Peyman Moghadam, et al.
Neural Networks : the Official Journal of the International Neural Network Society
|
August 25, 2023
Subspace distillation for continual learning
Kaushik Roy, Christian Simon, Peyman Moghadam, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|
July 22, 2011
Fast vanishing-point detection in unstructured environments
Peyman Moghadam, Janusz A Starzyk, W S Wijesoma
Neural Networks : the Official Journal of the International Neural Network Society
|
June 24, 2025
Flashbacks to harmonize stability and plasticity in continual learning
Leila Mahmoodi, Peyman Moghadam, Munawar Hayat, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|
July 24, 2023
Exploiting Field Dependencies for Learning on Categorical Data
Zhibin Li, Piotr Koniusz, Lu Zhang, et al.
Journal of Hazardous Materials
|
May 4, 2024
Graph neural networks-enhanced relation prediction for ecotoxicology (GRAPE)
Gaurangi Anand, Piotr Koniusz, Anupama Kumar, et al.
Journal of Sports Science & Medicine
|
September 3, 2020
Thermal Infrared Imaging Can Differentiate Skin Temperature Changes Associated With Intense Single Leg Exercise, But Not With Delayed Onset of Muscle Soreness
Ian B Stewart, Peyman Moghadam, David N Borg, et al.
Iranian Journal of Public Health
|
October 30, 2023
The Prevalence of Hypertension and Obesity in Iranian Professional Drivers
Akbar Nikpajouh, Feridoun Noohi, Mokhtar Malakpour, et al.
Advanced Materials (Deerfield Beach, Fla.)
|
May 23, 2022
How Reproducible are Surface Areas Calculated from the BET Equation?
Johannes W M Osterrieth, James Rampersad, David Madden, et al.
Page
of 1