Zobrazeno 1 - 10
of 39 741
pro vyhledávání: '"A. Livingstone"'
Polyhazard models are a class of flexible parametric models for modelling survival over extended time horizons. Their additive hazard structure allows for flexible, non-proportional hazards whose characteristics can change over time while retaining a
Externí odkaz:
http://arxiv.org/abs/2406.14182
Autor:
Madan, Spandan, Xiao, Will, Cao, Mingran, Pfister, Hanspeter, Livingstone, Margaret, Kreiman, Gabriel
We characterized the generalization capabilities of DNN-based encoding models when predicting neuronal responses from the visual cortex. We collected \textit{MacaqueITBench}, a large-scale dataset of neural population responses from the macaque infer
Externí odkaz:
http://arxiv.org/abs/2406.16935
We propose a new simple and explicit numerical scheme for time-homogeneous stochastic differential equations. The scheme is based on sampling increments at each time step from a skew-symmetric probability distribution, with the level of skewness dete
Externí odkaz:
http://arxiv.org/abs/2405.14373
Publikováno v:
The Electronic Journal of Information Systems in Developing Countries, e12314
The HIV/AIDS pandemic is a global issue that has unequally affected several countries. Due to the complexity of this condition and the human drama it represents to those most affected by it, several fields have contributed to solving or at least alle
Externí odkaz:
http://arxiv.org/abs/2403.06076
Autor:
Hird, Max, Livingstone, Samuel
Linear transformation of the state variable (linear preconditioning) is a common technique that often drastically improves the practical performance of a Markov chain Monte Carlo algorithm. Despite this, however, the benefits of linear preconditionin
Externí odkaz:
http://arxiv.org/abs/2312.04898
In this paper, we introduce a novel MCMC sampler, PARNI-DAG, for a fully-Bayesian approach to the problem of structure learning under observational data. Under the assumption of causal sufficiency, the algorithm allows for approximate sampling direct
Externí odkaz:
http://arxiv.org/abs/2311.00599
Autor:
Hettiachchi, Danula, Holcombe-James, Indigo, Livingstone, Stephanie, de Silva, Anjalee, Lease, Matthew, Salim, Flora D., Sanderson, Mark
Crowdsourced annotation is vital to both collecting labelled data to train and test automated content moderation systems and to support human-in-the-loop review of system decisions. However, annotation tasks such as judging hate speech are subjective
Externí odkaz:
http://arxiv.org/abs/2309.01288
Autor:
Gayathri Ashok, Abdullah F. AlAsmari, Fawaz AlAsmari, Paul Livingstone, Anand Anbarasu, Sudha Ramaiah
Publikováno v:
Discover Oncology, Vol 15, Iss 1, Pp 1-22 (2024)
Abstract Fibroblast activating protein (FAP) is a cell surface marker of cancer-associated fibroblasts with a distinct pro-tumorigenic role. The present study analyzed the pan-cancer expression; and clinical and mutational profiles of the FAP coding
Externí odkaz:
https://doaj.org/article/e7c95eede60f4eb68424571acfc51b2d
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Humans perceive illusory faces in everyday objects with a face-like configuration, an illusion known as face pareidolia. Face-selective regions in humans and monkeys, believed to underlie face perception, have been shown to respond to face p
Externí odkaz:
https://doaj.org/article/00e633d7124247ef87e3e1611cc1c2fc
Autor:
Ruth Khadembu Lucinde, Henry Gathuri, Lynda Isaaka, Morris Ogero, Livingstone Mumelo, Dennis Kimego, George Mbevi, Conrad Wanyama, Edwin Onyango Otieno, Stella Mwakio, Metrine Saisi, Elizabeth Isinde, Irene Njeri Oginga, Alvin Wachira, Evans Manuthu, Hazel Kariuki, Jared Nyikuli, Cyprian Wekesa, Amos Otedo, Hannah Bosire, Steve Biko Okoth, Winston Ongalo, David Mukabi, Wilber Lusamba, Beatrice Muthui, Isaac Adembesa, Caroline Mithi, Mohammed Sood, Nadia Ahmed, Bernard Gituma, Matiko Giabe, Charles Omondi, Rashid Aman, Patrick Amoth, Kadondi Kasera, Fred Were, Wangari Nganga, James A Berkley, Benjamin Tsofa, Jospeh Mwangangi, Philip Bejon, Edwine Barasa, Mike English, John Athony Gerard Scott, Samuel Akech, Eunice Wangeci Kagucia, Ambrose Agweyu, Anthony Oliwa Etyang
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background There are limited data from sub-Saharan Africa describing the demographic characteristics, clinical features and outcome of patients admitted to public hospitals with severe acute respiratory infections during the COVID-19 pandemi
Externí odkaz:
https://doaj.org/article/b36bf4bb78a64fb7b8f8cc3ffe32181a