Zobrazeno 1 - 10
of 7 352
pro vyhledávání: '"A, Antoniades"'
Software engineers operating in complex and dynamic environments must continuously adapt to evolving requirements, learn iteratively from experience, and reconsider their approaches based on new insights. However, current large language model (LLM)-b
Externí odkaz:
http://arxiv.org/abs/2410.20285
Parkinson's Disease (PD) diagnosis remains challenging. This study applies Convolutional Kolmogorov-Arnold Networks (ConvKANs), integrating learnable spline-based activation functions into convolutional layers, for PD classification using structural
Externí odkaz:
http://arxiv.org/abs/2407.17380
Discriminating between Parkinson's Disease (PD) and Progressive Supranuclear Palsy (PSP) is difficult due to overlapping symptoms, especially early on. Saccades (rapid conjugate eye movements between fixation points) are affected by both diseases but
Externí odkaz:
http://arxiv.org/abs/2407.16063
Autor:
Wang, Xinyi, Antoniades, Antonis, Elazar, Yanai, Amayuelas, Alfonso, Albalak, Alon, Zhang, Kexun, Wang, William Yang
The impressive capabilities of large language models (LLMs) have sparked debate over whether these models genuinely generalize to unseen tasks or predominantly rely on memorizing vast amounts of pretraining data. To explore this issue, we introduce a
Externí odkaz:
http://arxiv.org/abs/2407.14985
Autor:
Amayuelas, Alfonso, Yang, Xianjun, Antoniades, Antonis, Hua, Wenyue, Pan, Liangming, Wang, William
Large Language Models (LLMs) have shown exceptional results on current benchmarks when working individually. The advancement in their capabilities, along with a reduction in parameter size and inference times, has facilitated the use of these models
Externí odkaz:
http://arxiv.org/abs/2406.14711
Autor:
Wang, Danqing, Antoniades, Antonis, Luong, Kha-Dinh, Zhang, Edwin, Kosan, Mert, Li, Jiachen, Singh, Ambuj, Wang, William Yang, Li, Lei
Counterfactual explanations of Graph Neural Networks (GNNs) offer a powerful way to understand data that can naturally be represented by a graph structure. Furthermore, in many domains, it is highly desirable to derive data-driven global explanations
Externí odkaz:
http://arxiv.org/abs/2406.13869
Publikováno v:
EuroMed Journal of Business, 2023, Vol. 19, Issue 4, pp. 720-735.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EMJB-04-2022-0075
State-of-the-art systems neuroscience experiments yield large-scale multimodal data, and these data sets require new tools for analysis. Inspired by the success of large pretrained models in vision and language domains, we reframe the analysis of lar
Externí odkaz:
http://arxiv.org/abs/2311.00136
Autor:
Charalampos Sotirakis, Maksymilian A. Brzezicki, Salil Patel, Niall Conway, James J. FitzGerald, Chrystalina A. Antoniades
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-9 (2024)
Abstract Parkinson’s disease (PD) increases fall risk, leading to injuries and reduced quality of life. Accurate fall risk assessment is crucial for effective care planning. Traditional assessments are subjective and time-consuming, while recent as
Externí odkaz:
https://doaj.org/article/9757756edd7a4a378f17abdaf6627887
Autor:
Amit Khanna, Jamie Adams, Chrystalina Antoniades, Bastiaan R. Bloem, Camille Carroll, Jesse Cedarbaum, Joshua Cosman, David T. Dexter, Marissa F. Dockendorf, Jeremy Edgerton, Laura Gaetano, Erkuden Goikoetxea, Derek Hill, Fay Horak, Elena S. Izmailova, Tairmae Kangarloo, Dina Katabi, Catherine Kopil, Michael Lindemann, Jennifer Mammen, Kenneth Marek, Kevin McFarthing, Anat Mirelman, Martijn Muller, Gennaro Pagano, M. Judith Peterschmitt, Jie Ren, Lynn Rochester, Sakshi Sardar, Andrew Siderowf, Tanya Simuni, Diane Stephenson, Christine Swanson-Fischer, John A. Wagner, Graham B. Jones
Publikováno v:
npj Parkinson's Disease, Vol 10, Iss 1, Pp 1-9 (2024)
Abstract Parkinson’s Disease is a progressive neurodegenerative disorder afflicting almost 12 million people. Increased understanding of its complex and heterogenous disease pathology, etiology and symptom manifestations has resulted in the need to
Externí odkaz:
https://doaj.org/article/618ab6ef31f24f8996de46c4c52bb9ee