Zobrazeno 1 - 10
of 1 726
pro vyhledávání: '"Zeraati, A. A."'
Timescales of neural activity are diverse across and within brain areas, and experimental observations suggest that neural timescales reflect information in dynamic environments. However, these observations do not specify how neural timescales are sh
Externí odkaz:
http://arxiv.org/abs/2409.02684
Blind people are often called to contribute image data to datasets for AI innovation with the hope for future accessibility and inclusion. Yet, the visual inspection of the contributed images is inaccessible. To this day, we lack mechanisms for data
Externí odkaz:
http://arxiv.org/abs/2407.19351
Autor:
Tina Zeraati, Mohammad Reza Abbaszadegan, Anoush Azarfar, Ehsan Ghayoor Karimiani, Malihe Lotfi, Abbas Ali Zeraati
Publikováno v:
Egyptian Journal of Medical Human Genetics, Vol 25, Iss 1, Pp 1-9 (2024)
Abstract Background Autosomal recessive polycystic kidney disease (ARPKD) is a genetically inherited pediatric disorder. It is caused by a mutation in the PKHD1 gene located on chromosome 6. The predominant phenotype is characterized by early-onset b
Externí odkaz:
https://doaj.org/article/78ed1728f76c4772ae80e1a2657ca88f
Autor:
Zeraati, Tina1,2 (AUTHOR), Abbaszadegan, Mohammad Reza3,4 (AUTHOR), Azarfar, Anoush2 (AUTHOR), Ghayoor Karimiani, Ehsan5 (AUTHOR), Lotfi, Malihe1,3 (AUTHOR) lotfimalihe.genetic1395@gmail.ir, Zeraati, Abbas Ali2 (AUTHOR) zeraatia@mums.ac.ir
Publikováno v:
Egyptian Journal of Medical Human Genetics. 11/14/2024, Vol. 25 Issue 1, p1-9. 9p.
Autor:
İnce, Osman Batur, Zeraati, Tanin, Yagcioglu, Semih, Yaghoobzadeh, Yadollah, Erdem, Erkut, Erdem, Aykut
Neural networks have revolutionized language modeling and excelled in various downstream tasks. However, the extent to which these models achieve compositional generalization comparable to human cognitive abilities remains a topic of debate. While ex
Externí odkaz:
http://arxiv.org/abs/2310.12118
Autor:
Khajehabdollahi, Sina, Zeraati, Roxana, Giannakakis, Emmanouil, Schäfer, Tim Jakob, Martius, Georg, Levina, Anna
Publikováno v:
The Twelfth International Conference on Learning Representations (2024)
Recurrent neural networks (RNNs) in the brain and in silico excel at solving tasks with intricate temporal dependencies. Long timescales required for solving such tasks can arise from properties of individual neurons (single-neuron timescale, $\tau$,
Externí odkaz:
http://arxiv.org/abs/2309.12927
Although different organizations have defined policies towards diversity in academia, many argue that minorities are still disadvantaged in university admissions due to biases. Extensive research has been conducted on detecting partiality patterns in
Externí odkaz:
http://arxiv.org/abs/2302.00589
Multiple studies of neural avalanches across different data modalities led to the prominent hypothesis that the brain operates near a critical point. The observed exponents often indicate the mean-field directed-percolation universality class, leadin
Externí odkaz:
http://arxiv.org/abs/2211.06296
Autor:
Hong, Jonggi, Gandhi, Jaina, Mensah, Ernest Essuah, Zeraati, Farnaz Zamiri, Jarjue, Ebrima Haddy, Lee, Kyungjun, Kacorri, Hernisa
Iteration of training and evaluating a machine learning model is an important process to improve its performance. However, while teachable interfaces enable blind users to train and test an object recognizer with photos taken in their distinctive env
Externí odkaz:
http://arxiv.org/abs/2208.07968
Autor:
Zahra Karimi, Jaleh S. Malak, Amirhossein Aghakhani, Mohammad S. Najafi, Hamid Ariannejad, Hojjat Zeraati, Mir S. Yekaninejad
Publikováno v:
Health Science Reports, Vol 7, Iss 9, Pp n/a-n/a (2024)
Abstract Background & Aim Timely identification of the patients requiring intensive care unit admission (ICU) could be life‐saving. We aimed to compare different machine learning algorithms to predict the requirements for ICU admission in COVID‐1
Externí odkaz:
https://doaj.org/article/ece80f376d974a968815d5bc58b5f60f