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Artificially intelligent systems optimized for speech conversation are appearing at a fast pace. Such models are interesting from a healthcare perspective, as these voice-controlled assistants may support the elderly and enable remote health monitori
Externí odkaz:
http://arxiv.org/abs/2412.07388
Autor:
van Dijk, Bram, Islam, Saif ul, Achterberg, Jim, Waseem, Hafiz Muhammad, Gallos, Parisis, Epiphaniou, Gregory, Maple, Carsten, Haas, Marcel, Spruit, Marco
Data-driven technologies have improved the efficiency, reliability and effectiveness of healthcare services, but come with an increasing demand for data, which is challenging due to privacy-related constraints on sharing data in healthcare contexts.
Externí odkaz:
http://arxiv.org/abs/2409.00701
Publikováno v:
Information & Computer Security, 2024, Vol. 32, Issue 5, pp. 729-747.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ICS-02-2024-0035
In this resource paper we release ChiSCor, a new corpus containing 619 fantasy stories, told freely by 442 Dutch children aged 4-12. ChiSCor was compiled for studying how children render character perspectives, and unravelling language and cognition
Externí odkaz:
http://arxiv.org/abs/2310.20328
Autor:
van Duijn, Max J., van Dijk, Bram M. A., Kouwenhoven, Tom, de Valk, Werner, Spruit, Marco R., van der Putten, Peter
To what degree should we ascribe cognitive capacities to Large Language Models (LLMs), such as the ability to reason about intentions and beliefs known as Theory of Mind (ToM)? Here we add to this emerging debate by (i) testing 11 base- and instructi
Externí odkaz:
http://arxiv.org/abs/2310.20320
Current Large Language Models (LLMs) are unparalleled in their ability to generate grammatically correct, fluent text. LLMs are appearing rapidly, and debates on LLM capacities have taken off, but reflection is lagging behind. Thus, in this position
Externí odkaz:
http://arxiv.org/abs/2310.19671
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-20 (2024)
Abstract Background There are numerous papers focusing on diagnosing mental health disorders using unimodal and multimodal approaches. However, our literature review shows that the majority of these studies either use unimodal approaches to diagnose
Externí odkaz:
https://doaj.org/article/f74de981afaf465a84fb01ba9bb68453
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Background Synthetic Electronic Health Records (EHRs) are becoming increasingly popular as a privacy enhancing technology. However, for longitudinal EHRs specifically, little research has been done into how to properly evaluate synthetically
Externí odkaz:
https://doaj.org/article/3a8b76e7aafb44debb6b26488488c5bb
Autor:
Susan Van Dieren, Joost Nederend, Pieter J Tanis, Roel Hompes, Klaas Havenga, Melissa W Taggart, Robert Riedl, Michail Doukas, Evert-Jan G. Boerma, Marinke Westerterp, Corrie A M Marijnen, Jaap Stoker, Andrew Ruszkiewicz, Tsuyoshi Konishi, Jarno Melenhorst, Karin Muller, Krista Gerbrands, Michael Croft, Michael Wilks, Johanne G. Bloemen, Peter A. Neijenhuis, Koen C.M.J. Peeters, Miranda Kusters, Martijn Intven, Jan Peringa, Maria Verseveld, Eline G M van Geffen, Tania C Sluckin, Sanne-Marije J A Hazen, Karin Horsthuis, Geerard Beets, Marilyne M Lange, Regina G H Beets-Tan, Marc R. W. Engelbrecht, Elisabeth D. Geijsen, Philip Meijnen, Jurriaan B. Tuynman, Ingrid M. Bruijnzeel, Bas Lamme, Femke M. Alberts, Rogier M. P. H. Crolla, Joanne Verdult, Johan H. Wijsman, Charlotte S. van Kessel, Erik Jan Mulder, Jan Binne Hulshoff, Ivan M. Cherepanin, Hans F. J. Fabry, G. Y. Mireille, Frank J. M. Kemper, Fatih Polat, Jacobus W. A. Burger, Jeltsje S. Cnossen, Shira H. de Bie, Robbert J. I. Bosker, Aaldert K. Talsma, Leonora S. F. Boogerd, Marc J. P. M. Govaert, Merel M. Scheurkogel, Imogeen E. Antonisse, Joost Rothbarth, Marianne de Vries, Marcel A. H. Ribbert, Anthony W. H. van de Ven, Susan ter Borg, Jennifer W. Bradshaw, Heleen M. Ceha, Fleur I. de Korte, Andreas W. K. S. Marinelli, Tjeerd S. Aukema, Liselotte W. van Bockel, Aukje A. J. M. van Tilborg, Tom Rozema, Amarins Brandsma, Stefan Hoogendoorn, Saskia R. Offerman, Hanneke Vos, Henderik L. van Westreenen, Jeroen W. A. Leijtens, Fabian A. Holman, Laura A. Velema, L Els, van Persijn van Meerten, Frans C. H. Bakers, Iryna Samarska, Nina Šefčovičová, Maaike Berbée, Bastiaan B. Pultrum, Dennis B. Rouw, Matthew Albert, L. René Arensman, Hanneke Basart, Esther C. J. Consten, Bart C.T. van de Laar, Inne Somers, Paul M. Verheijen, Thomas A. Fassaert, Christiaan Hoff, Eino B. van Duyn, Ellen M. Hendriksen, Hugo A.J. Gielkens, Arend G. J. Aalbers, Brechtje A. Grotenhuis, Michalda S. Dunker, Anne M. van Geel, Christof Meischl, W. Hermien Schreurs, Patty H. Spruit, Michael F. Gerhards, Thomas M. Karsten, Eveline J.T. Krul, Sebastiaan van Koeverden, Andre J. A. Bremers, Heidi Rütten, Johannes H. W. de Wilt, Mariska den Hartogh, Vera Oppedijk, Jan Willem T. Dekker, Debora Eschbach-Zandbergen, Daphne Roos, Arjan van Tilburg, Ernst Jan, Spillenaar Bilgen, Nikki Knijn, Marnix A. J. de Roos, Ilse van Dop, Tracy Fitzsimmons, Hidde M. Kroon, Michael Penniment, Mitchell Raeside, Tarik Sammour, Steven J. Oosterling, Jeroen A. W. Tielbeek, Ronald J. C. L. M. Vuylsteke, Erik J. R. J. van der Hoeven, Anke B. Smits, Anniek H. Boer, Edgar J. B. Furnée, Robbert J. de Haas, Manon N. G. J. A. Braat, Wilhelmina M. U. van Grevenstein, Milan C. Richir, Patricia J. A. M. Brouwers, Tilly Leseman, Eric H. J. Belgers, Jasenko Krdzalic, Roy F. A. Vliegen
Publikováno v:
BMJ Open, Vol 14, Iss 10 (2024)
Introduction Inadequate treatment of enlarged lateral lymph nodes (LLNs) in rectal cancer patients is associated with an increased lateral local recurrence (LLR) risk, despite neoadjuvant treatment and total mesorectal excision (TME) surgery. There i
Externí odkaz:
https://doaj.org/article/340de40a283a4148be1229eb0c6c7cba
Publikováno v:
In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), pages 271-281, Seattle, United States. Association for Computational Linguistics
This paper presents our strategy to address the SemEval-2022 Task 3 PreTENS: Presupposed Taxonomies Evaluating Neural Network Semantics. The goal of the task is to identify if a sentence is deemed acceptable or not, depending on the taxonomic relatio
Externí odkaz:
http://arxiv.org/abs/2210.03378