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检索条件"机构=Biomedical Data Science and Machine Learning Group"
284 条 记 录,以下是191-200 订阅
排序:
Adaptive hybrid density functionals
arXiv
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arXiv 2024年
作者: Khan, Danish Price, Alastair James Arthur Ach, Maximilian L. von Lilienfeld, O. Anatole Trottier, Olivier Chemical Physics Theory Group Department of Chemistry University of Toronto St. George Campus TorontoON Canada Vector Institute for Artificial Intelligence TorontoON Canada Acceleration Consortium University of Toronto TorontoON Canada Department of Physics University of Toronto St. George Campus TorontoON Canada Department of Physics Ludwig-Maximilians-Universität Munich Germany Department of Materials Science and Engineering University of Toronto St. George Campus TorontoON Canada Machine Learning Group Technische Universität Berlin Berlin10587 Germany Berlin Institute for the Foundations of Learning and Data Berlin10587 Germany
Exact exchange and correlation contributions are known to crucially affect electronic states, which in turn govern covalent bond formation and breaking in chemical species. Empirically averaging the exact exchange adm... 详细信息
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learning Domain Invariant Representations by Joint Wasserstein Distance Minimization
arXiv
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arXiv 2021年
作者: Andéol, Léo Kawakami, Yusei Wada, Yuichiro Kanamori, Takafumi Müller, Klaus-Robert Montavon, Grégoire Machine Learning group Technische Universität Berlin Berlin10587 Germany Tokyo Institute of Technology Tokyo Japan Berlin Institute for the Foundations of Learning and Data – BIFOLD Berlin10587 Germany Fujitsu Laboratories Ltd. Japan RIKEN AIP Japan Max Planck Institute for Informatics Stuhlsatzenhausweg 4 Saarbrücken66123 Germany Department of Artificial Intelligence Korea University Seoul136-713 Korea Republic of Google Deepmind Berlin Germany Department of Mathematics and Computer Science Freie Universität Berlin Berlin14195 Germany
Domain shifts in the training data are common in practical applications of machine learning;they occur for instance when the data is coming from different sources. Ideally, a ML model should work well independently of... 详细信息
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Relative energies without electronic perturbations via Alchemical Integral Transform
arXiv
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arXiv 2022年
作者: Krug, Simon León von Rudorff, Guido Falk von Lilienfeld, O. Anatole University of Vienna Computational Materials Physics Kolingasse 14-16 Vienna1090 Austria Machine Learning Group Technische Universität Berlin Institute for the Foundations of Learning and Data Berlin10587 Germany University of California Los Angeles 460 Portola Plaza Los AngelesCA90095 United States Vector Institute for Artificial Intelligence TorontoONM5S 1M1 Canada Departments of Chemistry Materials Science and Engineering and Physics University of Toronto St. George Campus TorontoON Canada
We show that the energy of a perturbed system can be fully recovered from the unperturbed system's electron density. We derive an alchemical integral transform by parametrizing space in terms of transmutations, th... 详细信息
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Individual Fairness Through Reweighting and Tuning
arXiv
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arXiv 2024年
作者: Mahamadou, Abdoul Jalil Djiberou Goetz, Lea Altman, Russ Stanford Center for Biomedical Ethics Stanford University StanfordCA94305 United States Artificial Intelligence and Machine Learning GSK LondonN1C 4AG United Kingdom Department of Biomedical Data Science Stanford University StanfordCA94305 United States Department of Bioengineering Stanford University StanfordCA94305 United States Department of Genetics Stanford University StanfordCA94305 United States Department of Medicine Stanford University StanfordCA94305 United States
Inherent bias within society can be amplified and perpetuated by artificial intelligence (AI) systems. To address this issue, a wide range of solutions have been proposed to identify and mitigate bias and enforce fair... 详细信息
来源: 评论
Exploring the Capabilities of a Language Model-Only Approach for Depression Detection in Text data
Exploring the Capabilities of a Language Model-Only Approach...
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IEEE EMBS International Conference on Information Technology Applications in Biomedicine (ITAB)
作者: Misha Sadeghi Bernhard Egger Reza Agahi Robert Richer Klara Capito Lydia Helene Rupp Lena Schindler-Gmelch Matthias Berking Bjoern M. Eskofier Department Artificial Intelligence in Biomedical Engineering Machine Learning and Data Analytics Lab Friedrich-Alexander-Universität Erlangen- Nürnberg (FAU) Erlangen Germany Department of Computer Science Chair of Visual Computing Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Erlangen Germany Syenah GMBH Eschborn Germany Chair of Clinical Psychology and Psychotherapy Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Erlangen Germany
Depression is a prevalent and debilitating mental health condition that requires accurate and efficient detection for timely and effective treatment. In this study, we utilized the E-DAIC (Extended Distress Analysis I...
来源: 评论
Evaluating deep transfer learning for whole-brain cognitive decoding
arXiv
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arXiv 2021年
作者: Thomas, Armin W. Lindenberger, Ulman Samek, Wojciech Müller, Klaus-Robert Machine Learning Group Dept. of Computer Science and Electrical Engineering Technische Universität Berlin Berlin Germany Center for Lifespan Psychology Max Planck Institute for Human Development Berlin Germany Stanford Data Science Stanford University StanfordCA United States Dept. of Psychology Stanford University StanfordCA United States Max Planck UCL Centre for Computational Psychiatry and Ageing Research Berlin Germany Dept. of Artificial Intelligence Fraunhofer Heinrich Hertz Institute Berlin Germany BIFOLD – Berlin Institute for the Foundations of Learning and Data Berlin Germany Dept. of Artificial Intelligence Korea University Seoul Korea Republic of Max Planck Institute for Informatics Saarbrücken Germany
Research in many fields has shown that transfer learning (TL) is well-suited to improve the performance of deep learning (DL) models in datasets with small numbers of samples. This empirical success has triggered inte... 详细信息
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Spectroscopic detection of pigments in tissues: correlation with tissue aging and cancer development
Spectroscopic detection of pigments in tissues: correlation ...
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2022 International Conference Laser Optics, ICLO 2022
作者: Oliveira, L.M. Goncalves, T.M. Botelho, A.R. Martins, I.S. Silva, H.F. Carneiro, I. Carvalho, S. Henrique, R. Tuchin, V.V. Porto Portugal Center of Innovation in Engineering and Industrial Technology Isep Porto Portugal Department of Electrical and Computer Engineering Porto University-School of Engineering Porto Portugal Department of Pathology and Cancer Biology and Epigenetics Group Portuguese Oncology Institute of Porto Porto Portugal Porto Portugal Viana do Castelo Portugal Dept. of Pathol. and Molecular Immunology Porto University-Institute of Biomedical Sciences Abel Salazar Porto Portugal Science Medical Center Saratov State University Saratov Russia Laboratory of Laser Molecular Imaging and Machine Learning National Research Tomsk State University Tomsk Russia Laboratory of Laser Diagnostics of Technical and Living Systems Institute of Precision Mechanics and Control Frc-Saratov Scientific Centre-of the Russian Academy of Sciences Saratov Russia
The direct calculation of the absorption coefficient spectra of various tissues from spectral measurements allowed to retrieve the contents of melanin and lipofuscin. In the rabbit brain cortex, 1.8 times higher melan... 详细信息
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Anomaly detection in dynamic graphs via transformer
arXiv
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arXiv 2021年
作者: Liu, Yixin Pan, Shirui Wang, Yu Guang Xiong, Fei Wang, Liang Chen, Qingfeng Lee, Vincent C.S. the Department of Data Science and AI Faculty of IT Monash University ClaytonVIC3800 Australia Shanghai Jiao Tong University Institute of Natural Sciences School of Mathematical Sciences the Max Planck Institute for Mathematics in Sciences Mathematics Machine Learning group Key Laboratory of Communication and Information Systems Beijing Municipal Commission of Education Beijing Jiaotong University Beijing100044 China School of Computer Science Northwestern Polytechnical University Xi’an10072 China School of Computer Electronic and Information Guangxi University Nanning530004 China
Detecting anomalies for dynamic graphs has drawn increasing attention due to their wide applications in social networks, e-commerce, and cybersecurity. Recent deep learning-based approaches have shown promising result... 详细信息
来源: 评论
Forecasting intracranial hypertension using multi-scale waveform metrics
arXiv
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arXiv 2019年
作者: Hüser, Matthias Kündig, Adrian Karlen, Walter De Luca, Valeria Jaggi, Martin Biomedical Informatics Group Department of Computer Science ETH Zürich Universitätstrasse 6 Zürich8092 Switzerland Mobile Health Systems Lab Institute of Robotics and Intelligent Systems Department of Health Sciences and Technology ETH Zürich Zürich8008 Switzerland Department of Information Technology and Electrical Engineering ETH Zürich Zürich8092 Switzerland Machine Learning & Optimization Lab EPFL Lausanne1015 Switzerland
Objective: Acute intracranial hypertension is an important risk factor of secondary brain damage after traumatic brain injury. Hypertensive episodes are often diagnosed reactively, leading to late detection and lost t... 详细信息
来源: 评论
Scholarly Influence of the Conference and Labs of the Evaluation Forum eHealth Initiative: Review and Bibliometric Study of the 2012 to 2017 Outcomes
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JMIR Research Protocols 2018年 第7期7卷 e10961页
作者: Suominen, Hanna Kelly, Liadh Goeuriot, Lorraine Research School of Computer Science College of Engineering and Computer Science The Australian National University Canberra ACT Australia Machine Learning Research Group Data61 Commonwealth Scientific and Industrial Research Organisation Canberra ACT Australia Faculty of Science and Technology University of Canberra Canberra ACT Australia Department of Future Technologies Faculty of Science and Engineering University of Turku Turku Finland Department of Computer Science Maynooth University Maynooth Co Kildare Ireland Grenoble Informatics Laboratory Université Grenoble Alpes Grenoble France
Background: The eHealth initiative of the Conference and Labs of the Evaluation Forum (CLEF) has aimed since 2012 to provide researchers working on health text analytics with annual workshops, shared development chall... 详细信息
来源: 评论