Zobrazeno 1 - 10
of 6 313
pro vyhledávání: '"Oluwaseyi BE"'
Autor:
KOHAN, JOHN
Publikováno v:
Christian Century. Mar2024, Vol. 141 Issue 3, p96-96. 1p. 1 Color Photograph.
Autor:
Fotouhi, Milad, Bahadori, Mohammad Taha, Feyisetan, Oluwaseyi, Arabshahi, Payman, Heckerman, David
The existing algorithms for identification of neurons responsible for undesired and harmful behaviors do not consider the effects of confounders such as topic of the conversation. In this work, we show that confounders can create spurious correlation
Externí odkaz:
http://arxiv.org/abs/2412.02893
Human motion generation is an important area of research in many fields. In this work, we tackle the problem of motion stitching and in-betweening. Current methods either require manual efforts, or are incapable of handling longer sequences. To addre
Externí odkaz:
http://arxiv.org/abs/2409.06791
Autor:
Fotouhi, Milad, Bahadori, Mohammad Taha, Feyisetan, Oluwaseyi, Arabshahi, Payman, Heckerman, David
We investigate the use of in-context learning and prompt engineering to estimate the contributions of training data in the outputs of instruction-tuned large language models (LLMs). We propose two novel approaches: (1) a similarity-based approach tha
Externí odkaz:
http://arxiv.org/abs/2408.11852
Autor:
Krayev, Andrey, Isotta, Eleonora, Hoang, Lauren, Yang, Jerry A., Neilson, Kathryn, Wang, Minyuan, Haughn, Noah, Pop, Eric, Mannix, Andrew, Balogun, Oluwaseyi, Wang, Chih-Feng
We present a systematic study of the dependence of gap mode tip-enhanced Raman scattering (TERS) of mono- and bi-layer WS$_2$ and MoS$_2$ as a function of excitation laser energy. We collected consecutive TERS maps of mono-and bi-layer regions with 6
Externí odkaz:
http://arxiv.org/abs/2407.13932
Publikováno v:
International Journal on Cybernetics & Informatics (IJCI) Vol.13, No.4, August 2024
This research explores the nuanced differences in texts produced by AI and those written by humans, aiming to elucidate how language is expressed differently by AI and humans. Through comprehensive statistical data analysis, the study investigates va
Externí odkaz:
http://arxiv.org/abs/2408.00769
Autor:
Ilevbare, Comfort Eseohen, Alabi, Jesujoba O., Adelani, David Ifeoluwa, Bakare, Firdous Damilola, Abiola, Oluwatoyin Bunmi, Adeyemo, Oluwaseyi Adesina
Nigerians have a notable online presence and actively discuss political and topical matters. This was particularly evident throughout the 2023 general election, where Twitter was used for campaigning, fact-checking and verification, and even positive
Externí odkaz:
http://arxiv.org/abs/2404.18180
Autor:
Olorunfemi, Samuel Oluwaseyi, author, Adeniran, Adetayo Olaniyi, author
Publikováno v:
Society and Sustainability
Autor:
Ahang, Maryam, Charter, Todd, Ogunfowora, Oluwaseyi, Khadivi, Maziyar, Abbasi, Mostafa, Najjaran, Homayoun
Condition monitoring plays a significant role in the safety and reliability of modern industrial systems. Artificial intelligence (AI) approaches are gaining attention from academia and industry as a growing subject in industrial applications and as
Externí odkaz:
http://arxiv.org/abs/2401.10266
Autor:
Ojo, Adedapo Oluwaseyi, Ravichander, Sumitha, Tan, Christine Nya-Ling, Anthonysamy, Lilian, Arasanmi, Chris Niyi
Publikováno v:
Journal of Applied Research in Higher Education, 2024, Vol. 16, Issue 5, pp. 2185-2198.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JARHE-09-2023-0445