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Frontiers in Oncology
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February 27, 2023
Common statistical concepts in the supervised Machine Learning arena
Hooman H Rashidi, Samer Albahra, Scott Robertson, et al.
Scientific Reports
|
September 10, 2021
Automated machine learning for endemic active tuberculosis prediction from multiplex serological data
Hooman H Rashidi, Luke T Dang, Samer Albahra, et al.
Journal of Clinical Pharmacy and Therapeutics
|
October 27, 2001
Passionflower in the treatment of generalized anxiety: a pilot double-blind randomized controlled trial with oxazepam
S Akhondzadeh, H R Naghavi, M Vazirian, et al.
Archives of Pathology & Laboratory Medicine
|
September 19, 2024
Ethical and Regulatory Perspectives on Generative Artificial Intelligence in Pathology
Brian R Jackson, Hooman H Rashidi, Jochen K Lennerz, et al.
Academic Pathology
|
September 17, 2019
Artificial Intelligence and Machine Learning in Pathology: The Present Landscape of Supervised Methods
Hooman H Rashidi, Nam K Tran, Elham Vali Betts, et al.
Human Reproduction (Oxford, England)
|
April 15, 2016
Does the risk of metabolic disorders increase among women with polycystic ovary morphology? A population-based study
M Bahri Khomami, F Ramezani Tehrani, S Hashemi, et al.
Saudi Medical Journal
|
July 3, 2007
The role of inhibin B in prediction of in vitro fertilization or intracytoplasmic sperm injection cycles' outcome
Ensieh S Tehraninejad, Elham Amirchaghmaghi, Monir Owj, et al.
Journal of Animal Science
|
October 4, 2016
Genetic variation for farrowing rate in pigs in response to change in photoperiod and ambient temperature
C A Sevillano, H A Mulder, H Rashidi, et al.
Transportation
|
July 19, 2021
Easing or tightening control strategies: determination of COVID-19 parameters for an agent-based model
Ali Najmi, Sahar Nazari, Farshid Safarighouzhdi, et al.
Journal of Animal Science
|
December 20, 2013
Variation among sows in response to porcine reproductive and respiratory syndrome
H Rashidi, H A Mulder, P Mathur, et al.
Page
of 9
Search research articles
Search
Showing results (21-30 of 82) with videos related to
Sort By:
Page
of 9
Frontiers in Oncology
|
February 27, 2023
Common statistical concepts in the supervised Machine Learning arena
Hooman H Rashidi, Samer Albahra, Scott Robertson, et al.
Scientific Reports
|
September 10, 2021
Automated machine learning for endemic active tuberculosis prediction from multiplex serological data
Hooman H Rashidi, Luke T Dang, Samer Albahra, et al.
Journal of Clinical Pharmacy and Therapeutics
|
October 27, 2001
Passionflower in the treatment of generalized anxiety: a pilot double-blind randomized controlled trial with oxazepam
S Akhondzadeh, H R Naghavi, M Vazirian, et al.
Archives of Pathology & Laboratory Medicine
|
September 19, 2024
Ethical and Regulatory Perspectives on Generative Artificial Intelligence in Pathology
Brian R Jackson, Hooman H Rashidi, Jochen K Lennerz, et al.
Academic Pathology
|
September 17, 2019
Artificial Intelligence and Machine Learning in Pathology: The Present Landscape of Supervised Methods
Hooman H Rashidi, Nam K Tran, Elham Vali Betts, et al.
Human Reproduction (Oxford, England)
|
April 15, 2016
Does the risk of metabolic disorders increase among women with polycystic ovary morphology? A population-based study
M Bahri Khomami, F Ramezani Tehrani, S Hashemi, et al.
Saudi Medical Journal
|
July 3, 2007
The role of inhibin B in prediction of in vitro fertilization or intracytoplasmic sperm injection cycles' outcome
Ensieh S Tehraninejad, Elham Amirchaghmaghi, Monir Owj, et al.
Journal of Animal Science
|
October 4, 2016
Genetic variation for farrowing rate in pigs in response to change in photoperiod and ambient temperature
C A Sevillano, H A Mulder, H Rashidi, et al.
Transportation
|
July 19, 2021
Easing or tightening control strategies: determination of COVID-19 parameters for an agent-based model
Ali Najmi, Sahar Nazari, Farshid Safarighouzhdi, et al.
Journal of Animal Science
|
December 20, 2013
Variation among sows in response to porcine reproductive and respiratory syndrome
H Rashidi, H A Mulder, P Mathur, et al.
Page
of 9