Search Results - "Mosteiro, Pablo"

Modest performance of text mining to extract health outcomes may be almost sufficient for high-quality prognostic model development by Grotenhuis, Zwierd, Mosteiro, Pablo J., Leeuwenberg, Artuur M.

“…Across medicine, prognostic models are used to estimate patient risk of certain future health outcomes (e.g., cardiovascular or mortality risk). To develop (or…”
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Bias Discovery in Machine Learning Models for Mental Health by Mosteiro, Pablo, Kuiper, Jesse, Masthoff, Judith, Scheepers, Floortje, Spruit, Marco

“…Fairness and bias are crucial concepts in artificial intelligence, yet they are relatively ignored in machine learning applications in clinical psychiatry. We…”
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Topic Modeling for Interpretable Text Classification From EHRs by Rijcken, Emil, Kaymak, Uzay, Scheepers, Floortje, Mosteiro, Pablo, Zervanou, Kalliopi, Spruit, Marco

“…The clinical notes in electronic health records have many possibilities for predictive tasks in text classification. The interpretability of these…”
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Diagnosis Classification in the Emergency Room Using Natural Language Processing by van Buchem, Marieke M, 't Hart, Hanna H, Mosteiro, Pablo J, Kant, Ilse M J, Bauer, Martijn P

“…Diagnosis classification in the emergency room (ER) is a complex task. We developed several natural language processing classification models, looking both at…”
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Heavy squarks at the LHC by Fan, JiJi, Krohn, David, Mosteiro, Pablo, Thalapillil, Arun M., Wang, Lian-Tao

“…The LHC, with its seven-fold increase in energy over the Tevatron, is capable of probing regions of SUSY parameter space exhibiting qualitatively new collider…”
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Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting by Borger, Thomas, Mosteiro, Pablo, Kaya, Heysem, Rijcken, Emil, Salah, Albert Ali, Scheepers, Floortje, Spruit, Marco

“…Inpatient violence is a common and severe problem within psychiatry. Knowing who might become violent can influence staffing levels and mitigate severity…”
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Topic specificity: A descriptive metric for algorithm selection and finding the right number of topics by Emil Rijcken, Kalliopi Zervanou, Pablo Mosteiro, Floortje Scheepers, Marco Spruit, Uzay Kaymak

“…Topic modeling is a prevalent task for discovering the latent structure of a corpus, identifying a set of topics that represent the underlying themes of the…”
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A highly efficient neutron veto for dark matter experiments by Wright, Alex, Mosteiro, Pablo, Loer, Ben, Calaprice, Frank

“…We present a conceptual design for an active neutron veto, based on boron-loaded liquid scintillator, for use in direct-detection dark matter experiments. The…”
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Exploring Embedding Spaces for more Coherent Topic Modeling in Electronic Health Records by Rijcken, Emil, Zervanou, Kalliopi, Spruit, Marco, Mosteiro, Pablo, Scheepers, Floortje, Kaymak, Uzay

“…The written notes in the Electronic Health Records contain a vast amount of information about patients. Implementing automated approaches for text…”
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FuzzyTM: a Software Package for Fuzzy Topic Modeling by Rijcken, Emil, Mosteiro, Pablo, Zervanou, Kalliopi, Spruit, Marco, Scheepers, Floortje, Kaymak, Uzay

“…Unstructured text data is collected daily in large amounts by many organizations. Analyzing all this data is time intensive and too costly in many cases. One…”
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How and where does CLIP process negation? by Quantmeyer, Vincent, Mosteiro, Pablo, Gatt, Albert

“…Various benchmarks have been proposed to test linguistic understanding in pre-trained vision \& language (VL) models. Here we build on the existence task from…”
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First measurement of pp neutrinos in real time in the Borexino detector by Mosteiro, Pablo

“…The Sun is fueled by a series of nuclear reactions that produce the energy that makes it shine. Neutrinos (ν) produced by these nuclear reactions exit the Sun…”
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UU-Tax at SemEval-2022 Task 3: Improving the generalizability of language models for taxonomy classification through data augmentation by Sarhan, Injy, Mosteiro, Pablo, Spruit, Marco

“…In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), pages 271-281, Seattle, United States. Association for Computational…”
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Borexino: geo-neutrino measurement at Gran Sasso, Italy by Agostini et al, Borexino collaboration

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Bias Discovery in Machine Learning Models for Mental Health by Mosteiro, Pablo, Kuiper, Jesse, Masthoff, Judith, Scheepers, Floortje, Spruit, Marco

“…Fairness and bias are crucial concepts in artificial intelligence, yet they are relatively ignored in machine learning applications in clinical psychiatry. We…”
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A Comparative Study of Fuzzy Topic Models and LDA in terms of Interpretability by Rijcken, Emil, Scheepers, Floortje, Mosteiro, Pablo, Zervanou, Kalliopi, Spruit, Marco, Kaymak, Uzay

“…In many domains that employ machine learning models, both high performing and interpretable models are needed. A typical machine learning task is text…”
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Making sense of violence risk predictions using clinical notes by Mosteiro, Pablo, Rijcken, Emil, Zervanou, Kalliopi, Kaymak, Uzay, Scheepers, Floortje, Spruit, Marco

“…In: Huang, Z., Siuly, S., Wang, H., Zhou, R., Zhang, Y. (eds) Health Information Science. HIS 2020. Lecture Notes in Computer Science(), vol 12435. Springer,…”
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Machine Learning for Violence Risk Assessment Using Dutch Clinical Notes by Mosteiro, Pablo, Rijcken, Emil, Zervanou, Kalliopi, Kaymak, Uzay, Scheepers, Floortje, Spruit, Marco

“…Journal of Artificial Intelligence for Medical Sciences Volume 2, Issue 1-2, June 2021, Pages 44 - 54 Violence risk assessment in psychiatric institutions…”
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Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting by Borger, Thomas, Mosteiro, Pablo, Kaya, Heysem, Rijcken, Emil, Salah, Albert Ali, Scheepers, Floortje, Spruit, Marco

“…Expert Systems with Applications Volume 199, 1 August 2022, 116720 Inpatient violence is a common and severe problem within psychiatry. Knowing who might…”
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Missing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP by Belz, Anya, Thomson, Craig, Reiter, Ehud, Abercrombie, Gavin, Alonso-Moral, Jose M, Arvan, Mohammad, Braggaar, Anouck, Cieliebak, Mark, Clark, Elizabeth, van Deemter, Kees, Dinkar, Tanvi, Dušek, Ondřej, Eger, Steffen, Fang, Qixiang, Gao, Mingqi, Gatt, Albert, Gkatzia, Dimitra, González-Corbelle, Javier, Hovy, Dirk, Hürlimann, Manuela, Ito, Takumi, Kelleher, John D, Klubicka, Filip, Krahmer, Emiel, Lai, Huiyuan, van der Lee, Chris, Li, Yiru, Mahamood, Saad, Mieskes, Margot, van Miltenburg, Emiel, Mosteiro, Pablo, Nissim, Malvina, Parde, Natalie, Plátek, Ondřej, Rieser, Verena, Ruan, Jie, Tetreault, Joel, Toral, Antonio, Wan, Xiaojun, Wanner, Leo, Watson, Lewis, Yang, Diyi

“…We report our efforts in identifying a set of previous human evaluations in NLP that would be suitable for a coordinated study examining what makes human…”
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