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1
Digital twins to personalize medicine
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Article
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Digital twins to personalize medicine

Genome medicine, 2019-12, Vol.12 (1), p.4-4, Article 4 [Peer Reviewed Journal]

COPYRIGHT 2019 BioMed Central Ltd. ;2019. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s). 2019 ;ISSN: 1756-994X ;EISSN: 1756-994X ;DOI: 10.1186/s13073-019-0701-3 ;PMID: 31892363

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2
A key-recovery timing attack on post-quantum primitives using the Fujisaki-Okamoto transformation and its application on FrodoKEM
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Conference Proceeding
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A key-recovery timing attack on post-quantum primitives using the Fujisaki-Okamoto transformation and its application on FrodoKEM

40th Annual International Cryptology Conference, CRYPTO 2020,Santa Barbara, United States,2020-08-17 - 2020-08-21, 2020, Vol.12171, p.359 [Peer Reviewed Journal]

ISSN: 1611-3349 ;ISSN: 0302-9743 ;ISBN: 3030568806 ;ISBN: 9783030568801 ;ISBN: 3030568792 ;ISBN: 9783030568795 ;EISSN: 1611-3349 ;DOI: 10.1007/978-3-030-56880-1_13

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3
AtlFast3: The Next Generation of Fast Simulation in ATLAS
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Article
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AtlFast3: The Next Generation of Fast Simulation in ATLAS

Computing and software for big science, 2022, Vol.6 (1)

Springer Nature Switzerland AG 2022. corrected publication 2022 ;info:eu-repo/semantics/openAccess ;ISSN: 2510-2036 ;ISSN: 2510-2044 ;EISSN: 2510-2044 ;DOI: 10.1007/s41781-021-00079-7

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4
GlassesValidator: A data quality tool for eye tracking glasses
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Article
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GlassesValidator: A data quality tool for eye tracking glasses

Behavior research methods, 2024-03, Vol.56 (3), p.1476-1484 [Peer Reviewed Journal]

The Author(s) 2023 ;ISSN: 1554-3528 ;EISSN: 1554-3528 ;DOI: 10.3758/s13428-023-02105-5

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5
Tools for BIM-GIS Integration (IFC Georeferencing and Conversions): Results from the GeoBIM Benchmark 2019
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Article
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Tools for BIM-GIS Integration (IFC Georeferencing and Conversions): Results from the GeoBIM Benchmark 2019

ISPRS international journal of geo-information, 2020-09, Vol.9 (9), p.502 [Peer Reviewed Journal]

COPYRIGHT 2020 MDPI AG ;ISSN: 2220-9964 ;EISSN: 2220-9964 ;DOI: 10.3390/ijgi9090502

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6
Development of the Intcal Database
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Article
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Development of the Intcal Database

Radiocarbon, 2023-07 [Peer Reviewed Journal]

ISSN: 0033-8222 ;EISSN: 1945-5755 ;DOI: 10.1017/RDC.2023.53

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7
A Comprehensive Study on Colorectal Polyp Segmentation With ResUNet++, Conditional Random Field and Test-Time Augmentation
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Article
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A Comprehensive Study on Colorectal Polyp Segmentation With ResUNet++, Conditional Random Field and Test-Time Augmentation

IEEE journal of biomedical and health informatics, 2021-06, Vol.25 (6), p.2029-2040 [Peer Reviewed Journal]

info:eu-repo/semantics/openAccess ;ISSN: 2168-2194 ;ISSN: 2168-2208 ;EISSN: 2168-2208 ;DOI: 10.1109/JBHI.2021.3049304 ;PMID: 33400658 ;CODEN: IJBHA9

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8
Bioconda: sustainable and comprehensive software distribution for the life sciences
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Article
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Bioconda: sustainable and comprehensive software distribution for the life sciences

Nature methods, 2018-07, Vol.15 (7), p.475-476 [Peer Reviewed Journal]

COPYRIGHT 2018 Nature Publishing Group ;Copyright Nature Publishing Group Jul 2018 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1548-7091 ;ISSN: 1548-7105 ;EISSN: 1548-7105 ;DOI: 10.1038/s41592-018-0046-7 ;PMID: 29967506

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9
Improving prediction of heart transplantation outcome using deep learning techniques
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Article
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Improving prediction of heart transplantation outcome using deep learning techniques

Scientific reports, 2018-02, Vol.8 (1), p.3613-9, Article 3613 [Peer Reviewed Journal]

2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2018 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-018-21417-7 ;PMID: 29483521

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10
A feasibility study of applying generative deep learning models for map labeling
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Article
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A feasibility study of applying generative deep learning models for map labeling

Cartography and geographic information science, 2024-01, Vol.51 (1), p.168-191 [Peer Reviewed Journal]

2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. 2023 ;ISSN: 1523-0406 ;EISSN: 1545-0465 ;DOI: 10.1080/15230406.2023.2291051

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11
An introduction to computational complexity and statistical learning theory applied to nuclear models
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Article
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An introduction to computational complexity and statistical learning theory applied to nuclear models

28th International Nuclear Physics Conference, INPC 2022,Cape Town, South Africa,2022-09-11 - 2022-09-16, 2023-09, Vol.2586 (1), p.12155 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2586/1/012155

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12
Reproducibility in ecology and evolution: Minimum standards for data and code
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Article
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Reproducibility in ecology and evolution: Minimum standards for data and code

Ecology and evolution, 2023-05, Vol.13 (5), p.e9961-n/a [Peer Reviewed Journal]

2023 The Authors. published by John Wiley & Sons Ltd. ;2023 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. ;2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 2045-7758 ;EISSN: 2045-7758 ;DOI: 10.1002/ece3.9961 ;PMID: 37181203

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13
Machine learning in cartography
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Article
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Machine learning in cartography

Cartography and geographic information science, 2024, Vol.51 (1), p.1-19 [Peer Reviewed Journal]

Attribution ;ISSN: 1523-0406 ;EISSN: 1545-0465 ;DOI: 10.1080/15230406.2023.2295948

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14
PhaseGAN: a deep-learning phase-retrieval approach for unpaired datasets
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Article
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PhaseGAN: a deep-learning phase-retrieval approach for unpaired datasets

Optics express, 2021-06, Vol.29 (13), p.19593-19604 [Peer Reviewed Journal]

ISSN: 1094-4087 ;EISSN: 1094-4087 ;DOI: 10.1364/OE.423222

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15
Spectral representation of EEG data using learned graphs with application to motor imagery decoding
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Article
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Spectral representation of EEG data using learned graphs with application to motor imagery decoding

Biomedical signal processing and control, 2024, Vol.87 [Peer Reviewed Journal]

ISSN: 1746-8094 ;EISSN: 1746-8108 ;DOI: 10.1016/j.bspc.2023.105537

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16
Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions
Material Type:
Conference Proceeding
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Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions

COPPLAR CampusShuttle cooperative perception & planning platform, 2018, p.8601

ISSN: 1063-6919 ;DOI: 10.1109/CVPR.2018.00897

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17
An atlas of human metabolism
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Article
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An atlas of human metabolism

Science signaling, 2020-03, Vol.13 (624) [Peer Reviewed Journal]

ISSN: 1945-0877 ;ISSN: 1937-9145 ;EISSN: 1937-9145 ;DOI: 10.1126/scisignal.aaz1482

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18
H19 Induces Abdominal Aortic Aneurysm Development and Progression
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Article
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H19 Induces Abdominal Aortic Aneurysm Development and Progression

Circulation (New York, N.Y.), 2018-10, Vol.138 (15), p.1551-1568 [Peer Reviewed Journal]

2018 by the American College of Cardiology Foundation and the American Heart Association, Inc. ;ISSN: 0009-7322 ;ISSN: 1524-4539 ;EISSN: 1524-4539 ;DOI: 10.1161/CIRCULATIONAHA.117.032184 ;PMID: 29669788

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19
A mixed-method empirical study of Function-as-a-Service software development in industrial practice
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Article
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A mixed-method empirical study of Function-as-a-Service software development in industrial practice

The Journal of systems and software, 2019-03, Vol.149, p.340 [Peer Reviewed Journal]

ISSN: 0164-1212 ;EISSN: 1873-1228 ;DOI: 10.1016/j.jss.2018.12.013

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20
Evaluating the indoor radon concentrations in the Swedish building stock using statistical and machine learning
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Article
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Evaluating the indoor radon concentrations in the Swedish building stock using statistical and machine learning

13th Nordic Symposium on Building Physics,Aalborg, Denmark,2023-06-12 - 2023-06-14, 2023-12, Vol.2654 (1), p.12086 [Peer Reviewed Journal]

Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2654/1/012086

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