Zobrazeno 1 - 10
of 22 870
pro vyhledávání: '"SO Adebayo"'
Alzheimer's disease (AD) is a progressive neurodegenerative disorder with increasing prevalence among the aging population, necessitating early and accurate diagnosis for effective disease management. In this study, we present a novel hybrid deep lea
Externí odkaz:
http://arxiv.org/abs/2410.02714
Autor:
Wood, David, Lublinsky, Boris, Roytman, Alexy, Singh, Shivdeep, Adebayo, Abdulhamid, Eres, Revital, Nassar, Mohammad, Patel, Hima, Shah, Yousaf, Adam, Constantin, Zerfos, Petros, Desai, Nirmit, Tsuzuku, Daiki, Goto, Takuya, Dolfi, Michele, Surendran, Saptha, Selvam, Paramesvaran, An, Sungeun, Chang, Yuan Chi, Joshi, Dhiraj, Emami-Gohari, Hajar, Dang, Xuan-Hong, Koyfman, Yan, Daijavad, Shahrokh
Data preparation is the first and a very important step towards any Large Language Model (LLM) development. This paper introduces an easy-to-use, extensible, and scale-flexible open-source data preparation toolkit called Data Prep Kit (DPK). DPK is a
Externí odkaz:
http://arxiv.org/abs/2409.18164
QUB-PHEO: A Visual-Based Dyadic Multi-View Dataset for Intention Inference in Collaborative Assembly
QUB-PHEO introduces a visual-based, dyadic dataset with the potential of advancing human-robot interaction (HRI) research in assembly operations and intention inference. This dataset captures rich multimodal interactions between two participants, one
Externí odkaz:
http://arxiv.org/abs/2409.15560
Autor:
Liu, Yue, Zhang, Dawen, Xia, Boming, Anticev, Julia, Adebayo, Tunde, Xing, Zhenchang, Machao, Moses
In the era of advanced artificial intelligence, highlighted by large-scale generative models like GPT-4, ensuring the traceability, verifiability, and reproducibility of datasets throughout their lifecycle is paramount for research institutions and t
Externí odkaz:
http://arxiv.org/abs/2408.08536
In this research, we present SLYKLatent, a novel approach for enhancing gaze estimation by addressing appearance instability challenges in datasets due to aleatoric uncertainties, covariant shifts, and test domain generalization. SLYKLatent utilizes
Externí odkaz:
http://arxiv.org/abs/2402.01555
Autor:
Akumu, Tanya, Cintas, Celia, Tadesse, Girmaw Abebe, Oshingbesan, Adebayo, Speakman, Skyler, McFowland III, Edward
The representations of the activation space of deep neural networks (DNNs) are widely utilized for tasks like natural language processing, anomaly detection and speech recognition. Due to the diverse nature of these tasks and the large size of DNNs,
Externí odkaz:
http://arxiv.org/abs/2312.08143
We present a method for identifying groups of test examples -- slices -- on which a model under-performs, a task now known as slice discovery. We formalize coherence -- a requirement that erroneous predictions, within a slice, should be wrong for the
Externí odkaz:
http://arxiv.org/abs/2312.04712
Autor:
Omoju, Oluwasola E., Ikhide, Emily E., Olanrele, Iyabo A., Abeng, Lucy E., Petreski, Marjan, Adebayo, Francis O., Odigie, Itohan, Muhammed, Amina M.
Youth unemployment is a major socioeconomic problem in Nigeria, and several youth-employment programs have been initiated and implemented to address the challenge. While detailed analyses of the impacts of some of these programs have been conducted,
Externí odkaz:
http://arxiv.org/abs/2310.07789
Errors in labels obtained via human annotation adversely affect a model's performance. Existing approaches propose ways to mitigate the effect of label error on a model's downstream accuracy, yet little is known about its impact on a model's disparit
Externí odkaz:
http://arxiv.org/abs/2310.02533
Autor:
Livingstone Asem, Geoffrey Adebayo Asalu, Shaibu Seidu, Blessing Yayra Amable, Gifty Emefa Kpordze, Wisdom Kwami Takramah, Emmanuel Amaglo, Senanu Kwesi Dzokoto
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-7 (2024)
Abstract Introduction In Ghana, access to health care is impeded mostly by financial capital. The National Health Insurance (NHIS) rolled out in 2003 was an attempt to remove cost as a barrier and help bridge this gap in health access. Despite the be
Externí odkaz:
https://doaj.org/article/7b00cd87d05c40e89fecf1011af1face