Zobrazeno 1 - 10
of 35 462
pro vyhledávání: '"A. Squires"'
Autor:
Brouillard, Philippe, Squires, Chandler, Wahl, Jonas, Kording, Konrad P., Sachs, Karen, Drouin, Alexandre, Sridhar, Dhanya
Causal discovery aims to automatically uncover causal relationships from data, a capability with significant potential across many scientific disciplines. However, its real-world applications remain limited. Current methods often rely on unrealistic
Externí odkaz:
http://arxiv.org/abs/2412.01953
Fairness,the impartial treatment towards individuals or groups regardless of their inherent or acquired characteristics [20], is a critical challenge for the successful implementation of Artificial Intelligence (AI) in multiple fields like finances,
Externí odkaz:
http://arxiv.org/abs/2411.16965
Accurate estimates of causal effects play a key role in decision-making across applications such as healthcare, economics, and operations. In the absence of randomized experiments, a common approach to estimating causal effects uses \textit{covariate
Externí odkaz:
http://arxiv.org/abs/2411.08141
Photosynthetic organisms rely on sophisticated photoprotective mechanisms to prevent oxidative damage under high or fluctuating solar illumination. Cyanobacteria, which have evolved a modular, water-soluble light harvesting complex - the phycobilisom
Externí odkaz:
http://arxiv.org/abs/2410.03899
Heterogeneous data from multiple populations, sub-groups, or sources is often represented as a ``mixture model'' with a single latent class influencing all of the observed covariates. Heterogeneity can be resolved at multiple levels by grouping popul
Externí odkaz:
http://arxiv.org/abs/2405.19225
Autor:
Squires, Matthew, Tao, Xiaohui, Elangovan, Soman, Acharya, U Rajendra, Gururajan, Raj, Xie, Haoran, Zhou, Xujuan
Suicide is a prominent issue in society. Unfortunately, many people at risk for suicide do not receive the support required. Barriers to people receiving support include social stigma and lack of access to mental health care. With the popularity of s
Externí odkaz:
http://arxiv.org/abs/2405.05795
Autor:
Squires, Matthew, Tao, Xiaohui, Elangovan, Soman, Gururajan, Raj, Xie, Haoran, Zhou, Xujuan, Li, Yuefeng, Acharya, U Rajendra
Repetitive Transcranial Magnetic Stimulation (rTMS) is a well-supported, evidence-based treatment for depression. However, patterns of response to this treatment are inconsistent. Emerging evidence suggests that artificial intelligence can predict rT
Externí odkaz:
http://arxiv.org/abs/2404.16913
Autor:
Kavanagh, Seán R., Squires, Alexander G., Nicolson, Adair, Mosquera-Lois, Irea, Ganose, Alex M., Zhu, Bonan, Brlec, Katarina, Walsh, Aron, Scanlon, David O.
Publikováno v:
Journal of Open Source Software (2024), 9(96), 6433
Defects are a universal feature of crystalline solids, dictating the key properties and performance of many functional materials. Given their crucial importance yet inherent difficulty in measuring experimentally, computational methods (such as DFT a
Externí odkaz:
http://arxiv.org/abs/2403.08012
We consider the task of causal imputation, where we aim to predict the outcomes of some set of actions across a wide range of possible contexts. As a running example, we consider predicting how different drugs affect cells from different cell types.
Externí odkaz:
http://arxiv.org/abs/2402.14777
Publikováno v:
Journal of Open Source Software, 9(98), 6159 (2024)
Segmentation is the assigning of a semantic class to every pixel in an image and is a prerequisite for various statistical analysis tasks in materials science, like phase quantification, physics simulations or morphological characterization. The wide
Externí odkaz:
http://arxiv.org/abs/2312.04197