Zobrazeno 1 - 10
of 966
pro vyhledávání: '"Araabi, A."'
The brain's complex functionality emerges from network interactions that go beyond dyadic connections, with higher-order interactions significantly contributing to this complexity. One method of capturing higher-order interactions is through traversi
Externí odkaz:
http://arxiv.org/abs/2406.05859
In the investigation of any causal mechanisms, such as the brain's causal networks, the assumption of causal sufficiency plays a critical role. Notably, neglecting this assumption can result in significant errors, a fact that is often disregarded in
Externí odkaz:
http://arxiv.org/abs/2403.05407
Self-supervised visual representation learning traditionally focuses on image-level instance discrimination. Our study introduces an innovative, fine-grained dimension by integrating patch-level discrimination into these methodologies. This integrati
Externí odkaz:
http://arxiv.org/abs/2310.18651
This paper describes the UvA-MT's submission to the WMT 2023 shared task on general machine translation. We participate in the constrained track in two directions: English <-> Hebrew. In this competition, we show that by using one model to handle bid
Externí odkaz:
http://arxiv.org/abs/2310.09946
Autor:
Bagheri, Abdolmahdi, Pasande, Mohammad, Bello, Kevin, Araabi, Babak Nadjar, Akhondi-Asl, Alireza
Understanding the complex mechanisms of the brain can be unraveled by extracting the Dynamic Effective Connectome (DEC). Recently, score-based Directed Acyclic Graph (DAG) discovery methods have shown significant improvements in extracting the causal
Externí odkaz:
http://arxiv.org/abs/2309.07080
The ancestral maximum-likelihood and phylogeography problems are two fundamental problems involving evolutionary studies. The ancestral maximum-likelihood problem involves identifying a rooted tree alongside internal node sequences that maximizes the
Externí odkaz:
http://arxiv.org/abs/2308.06561
Despite the tremendous success of Neural Machine Translation (NMT), its performance on low-resource language pairs still remains subpar, partly due to the limited ability to handle previously unseen inputs, i.e., generalization. In this paper, we pro
Externí odkaz:
http://arxiv.org/abs/2307.12835
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract This study aimed to identify diagnostic gene biomarkers for colorectal cancer (CRC) by analyzing differentially expressed genes (DEGs) in tumor and adjacent normal samples across five colon cancer gene-expression profiles (GSE10950, GSE25070
Externí odkaz:
https://doaj.org/article/b736e13cd3e841ca9b7656cd2dc7e844
Task allocation is a crucial process in modern systems, but it is often challenged by incomplete information about the utilities of participating agents. In this paper, we propose a new profit maximization mechanism for the task allocation problem, w
Externí odkaz:
http://arxiv.org/abs/2302.05677
Autor:
Bagheri, Abdolmahdi, Dehshiri, Mahdi, Bagheri, Yamin, Akhondi-Asl, Alireza, Araabi, Babak Nadjar
Neuroscientific studies aim to find an accurate and reliable brain Effective Connectome (EC). Although current EC discovery methods have contributed to our understanding of brain organization, their performances are severely constrained by the short
Externí odkaz:
http://arxiv.org/abs/2302.05451