Zobrazeno 1 - 10
of 456
pro vyhledávání: '"P. Fokam"'
Autor:
Fokam, Cabrel Teguemne, Nazeer, Khaleelulla Khan, König, Lukas, Kappel, David, Subramoney, Anand
The increasing size of deep learning models has created the need for more efficient alternatives to the standard error backpropagation algorithm, that make better use of asynchronous, parallel and distributed computing. One major shortcoming of backp
Externí odkaz:
http://arxiv.org/abs/2410.05985
The Random Forest (RF) algorithm can be applied to a broad spectrum of problems, including time series prediction. However, neither the classical IID (Independent and Identically distributed) bootstrap nor block bootstrapping strategies (as implement
Externí odkaz:
http://arxiv.org/abs/2410.00942
Publikováno v:
Burns Open, Vol 4, Iss 1, Pp 22-27 (2020)
Background: Burns are a serious public health problem accounting for 265 000 annual death from fires alone worldwide. Over 96% of fatal fire-related burns occur in low- and middle-income countries. This study is aimed at describing the demographic ch
Externí odkaz:
https://doaj.org/article/2b4c8800f567423e8a0a9bb80d5b3e48
Statistics of grain sizes and orientations in metals correlate to the material's mechanical properties. Reproducing representative volume elements for further analysis of deformation and failure in metals, like 316L stainless steel, is particularly i
Externí odkaz:
http://arxiv.org/abs/2311.12272
Autor:
Beukman, Michael, Fokam, Manuel
Transfer learning has led to large gains in performance for nearly all NLP tasks while making downstream models easier and faster to train. This has also been extended to low-resourced languages, with some success. We investigate the properties of cr
Externí odkaz:
http://arxiv.org/abs/2309.05311
Autor:
Nicaise Ndembi, Tadesse T. Mekonen, Morenike Oluwatoyin Folayan, Nebiyu Dereje, Adriaan Kruger, Joseph Fokam, Elvis Temfack, Tajudeen Raji, Jean Nachega, Yap Boum, Trevor A. Crowell, Alain Ngashi Ngongo, Souleymane Mboup, Francine Ntoumi, Glaudina Loots, Michael Makanga, Samba Sow, Salim Abdool Karim, John Nkengasong
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-6 (2024)
Enhancing the clinical trial capabilities within Africa is essential to augment the continent’s pandemic prevention, preparedness and response efforts. Here, we describe the critical challenges of clinical trials in Africa and draw upon the lessons
Externí odkaz:
https://doaj.org/article/f901b011571e44ce8aaf29e66b9abf00
Autor:
Luc-Aimé Kagoué Simeni, Gabriel Loni Ekali, Clauvis Kunkeng Yengo, Rodrigue Kamga Wouambo, Janett Fischer, Oumarou M’rikam A. Bessong, Joseph Fokam, Louis-Marie Yindom, Jules Clément Assob Nguedia
Publikováno v:
BMC Immunology, Vol 25, Iss 1, Pp 1-11 (2024)
Abstract Background HIV-exposed uninfected infants (HEU) appear more vulnerable to infections compared to their HIV-unexposed uninfected (HUU) peers, generally attributed to poor passive immunity acquired from the mother. This may be due to some gene
Externí odkaz:
https://doaj.org/article/8415d6a3f25e40399f3638254b829163
Autor:
Kappel, David, Nazeer, Khaleelulla Khan, Fokam, Cabrel Teguemne, Mayr, Christian, Subramoney, Anand
The ubiquitous backpropagation algorithm requires sequential updates through the network introducing a locking problem. In addition, back-propagation relies on the transpose of forward weight matrices to compute updates, introducing a weight transpor
Externí odkaz:
http://arxiv.org/abs/2305.14974
Autor:
Beukman, Michael, Fokam, Manuel, Kruger, Marcel, Axelrod, Guy, Nasir, Muhammad, Ingram, Branden, Rosman, Benjamin, James, Steven
Procedural content generation (PCG) is a growing field, with numerous applications in the video game industry and great potential to help create better games at a fraction of the cost of manual creation. However, much of the work in PCG is focused on
Externí odkaz:
http://arxiv.org/abs/2302.01561
Autor:
Franklin Ayisi, Dziedzom Komi de Souza, Jamie Tallant, Benjamin Didier Biholong, Eric Bertrand Fokam, Daniel Adjei Boakye
Publikováno v:
Parasites & Vectors, Vol 17, Iss 1, Pp 1-12 (2024)
Abstract Background The main vectors of onchocerciasis in Africa are Simulium damnosum sensu lato, which transmit the causative agent Onchocerca volvulus. The force of transmission is driven by the vector density, hence influencing the disease preval
Externí odkaz:
https://doaj.org/article/4f41d5166a5042c38ab4117707730305