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arXiv 2019年

作者： Licandro, Roxane Hofmanninger, Johannes Perkonigg, Matthias Roehrich, Sebastian Weber, Marc-Andr Wennmann, Markus Kintzele, Laurent Piraud, Marie Menze, Bjoern Langs, Georg Computer Vision Lab Department of Visual Computing and Human-centered Technologies TU Wien Austria Computational Imaging Research Lab Department of Biomedical Imaging and Image-guided Therapy Medical University of Vienna Austria Institute f. Diagn. u. Intervent. Radiologie Medizinische Universität Rostock Germany Department of Interventional and Diagnostic Radiology Section Musco-Skelatal Imaging Heidelberg University Germany Institute of Biomedical Engineering - Image-based biomedical modelling Technische Universitt Mnchen Germany

The reliable and timely stratification of bone lesion evolution risk in smoldering Multiple Myeloma plays an important role in identifying prime markers of the disease's advance and in improving the patients' outcome. In this work we provide an asymmetric cascade network for the longitudinal prediction of future bone lesions for T1 weighted whole body MR images. The proposed cascaded architecture, consisting of two distinct configured U-Nets, first detects the bone regions and subsequently predicts lesions within bones in a patch based way. The algorithm provides a full volumetric risk score map for the identification of early signatures of emerging lesions and for visualising high risk locations. The prediction accuracy is evaluated on a longitudinal dataset of 63 multiple myeloma patients. Keywords: Longitudinal prediction, asymmetric cascade U-Net, Multiple Myeloma, bone lesion assessment. Copyright © 2019, The Authors. All rights reserved.

关键词： Forecasting

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Security Systems with Biometry based on Partial View Facial Images Using Geometrical Features

Security Systems with Biometry based on Partial View Facial ...

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IEEE International Symposium on Wireless Systems (IDAACS-SWS)

作者： Piotr Milczarski Zofia Stawska Shane Dowdall Faculty of Physics and Applied Informatics University of Lodz Lodz Poland Dept. of Visual and Human Centred Computing Dundalk Institute of Technology Dundalk Co Louth Ireland

ISBN: (纸本)9781538675885

In the security systems with a biometrical support it is vital to check non-invasively some features e.g. iris color, gender. In the paper, we have shown the problem of choosing the best set of features in the task of gender classification/recognition. The choice of a minimum set of features, that can give satisfactory results is also important in the biometrical systems where only a part of the face is visible e.g. security check. The minimum set of features can simplify the classification process to make it really fast in IoT security systems, video analysis of faces in the crowd, surveillance video analysis as well as for mobile applications The proposed areas can be taken into account while having veiled or partially obscured faces.

关键词： Face Support vector machines Security Databases Training Internet Testing

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Layered Dynamics and System Effectiveness of human-Autonomy Teams Under Degraded Conditions

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Proceedings of the human Factors and Ergonomics Society Annual Meeting 2019年第1期63卷 165页

作者： David A. Grimm Mustafa Demir Jamie C. Gorman Nancy J. Cooke Nathan J. McNeese Engineering Psychology Georgia Institute of Technology Atlanta Georgia USA Human Systems Engineering Arizona State University Mesa Arizona USA Human-Centered Computing Clemson University Clemson South Carolina USA

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Generalized word shift graphs: A method for visualizing and explaining pairwise comparisons between texts

arXiv

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arXiv 2020年

作者： Gallagher, Ryan J. Frank, Morgan R. Mitchell, Lewis Schwartz, Aaron J. Reagan, Andrew J. Danforth, Christopher M. Dodds, Peter Sheridan Network Science Institute Northeastern University BostonMA02115 United States Department of Informatics and Networked Systems University of Pittsburgh PittsburghPA15260 United States Connection Science Massachusetts Institute of Technology CambridgeMA02139 United States Institute for Human-Centered Artifical Intelligence Stanford University StanfordCA94305 United States School of Mathematical Sciences The University of Adelaide SA5005 Australia Computational Story Lab Vermont Complex Systems Center Vermont Advanced Computing Core The University of Vermont BurlingtonVT05401 United States Gund Institute for Environment & Rubenstein School of Environment and Natural Resources The University of Vermont BurlingtonVT05401 United States Department of Ecology and Evolutionary Biology University of Colorado at Boulder BoulderCO80309 United States MassMutual Data Science AmherstMA01002 United States MassMutual Center of Excellence for Complex Systems and Data Science Department of Mathematics and Statistics The University of Vermont BurlingtonVT05401 United States

A common task in computational text analyses is to quantify how two corpora differ according to a measurement like word frequency, sentiment, or information content. However, collapsing the texts' rich stories into a single number is often conceptually perilous, and it is difficult to confidently interpret interesting or unexpected textual patterns without looming concerns about data artifacts or measurement validity. To better capture fine-grained differences between texts, we introduce generalized word shift graphs, visualizations which yield a meaningful and interpretable summary of how individual words contribute to the variation between two texts for any measure that can be formulated as a weighted average. We show that this framework naturally encompasses many of the most commonly used approaches for comparing texts, including relative frequencies, dictionary scores, and entropy-based measures like the Kullback-Leibler and Jensen-Shannon divergences. Through several case studies, we demonstrate how generalized word shift graphs can be flexibly applied across domains for diagnostic investigation, hypothesis generation, and substantive interpretation. By providing a detailed lens into textual shifts between corpora, generalized word shift graphs help computational social scientists, digital humanists, and other text analysis practitioners fashion more robust scientific narratives. Copyright © 2020, The Authors. All rights reserved.

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Interactive system supporting children pleasurable learning

Interactive system supporting children pleasurable learning

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International Conference on Affective and Pleasurable Design, 2016

作者： Almukadi, Wafa Stephane, Lucas School of Human-Centered Design Innovation and Art Florida Institute of Technology MelbourneFL32901 United States Faculty of Computing and Information Technology King Abdulaziz University Jeddah Saudi Arabia

ISBN: (纸本)9783319416601

This paper deals with tangible objects intended for improving young children education in the classroom. Aligned with recent trends that embed interactivity and connectivity in physical objects, our study augments traditional wooden toy blocks with sensors detecting movement, location and alignment as well as providing visual and aural positive feedback when a good result is attained. Several prototypes were designed and tested with children for basic spelling, vocabulary and basic math exercises. Results obtained are positive and encouraging to continue improving the proposed tangible system. © Springer International Publishing Switzerland 2017.

关键词： Feedback

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AIRR community curation and standardised representation for immunoglobulin and T cell receptor germline sets

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Immunoinformatics (Amsterdam, Netherlands) 2023年 10卷 100025页

作者： William D Lees Scott Christley Ayelet Peres Justin T Kos Brian Corrie Duncan Ralph Felix Breden Lindsay G Cowell Gur Yaari Martin Corcoran Gunilla B Karlsson Hedestam Mats Ohlin Andrew M Collins Corey T Watson Christian E Busse Institute of Structural and Molecular Biology Birkbeck College London England. Human-Centered Computing and Information Science Institute for Systems and Computer Engineering Technology and Science Porto Portugal. Peter O'Donnell Jr. School of Public Health UT Southwestern Medical Center Dallas TX USA. Bioengineering Program Faculty of Engineering Bar-Ilan University Ramat Gan Israel. Department of Biochemistry and Molecular Genetics School of Medicine University of Louisville KY USA. Department of Biological Sciences Simon Fraser University Burnaby BC Canada. Fred Hutchinson Cancer Research Center Seattle WA USA. Peter O'Donnell Jr. School of Public Health Department of Immunology School of Biomedical Sciences UT Southwestern Medical Center Dallas TX USA. Department of Microbiology Tumor and Cell Biology Karolinska Institutet Stockholm Swede. Department of Immunotechnology and SciLifeLab Lund University Lund Sweden. School of Biotechnology and Biomolecular Sciences University of New South Wales Sydney NSW Australia. Division of B Cell Immunology German Cancer Research Center Heidelberg Germany.

Analysis of an individual's immunoglobulin or T cell receptor gene repertoire can provide important insights into immune function. High-quality analysis of adaptive immune receptor repertoire sequencing data depends upon accurate and relatively complete germline sets, but current sets are known to be incomplete. Established processes for the review and systematic naming of receptor germline genes and alleles require specific evidence and data types, but the discovery landscape is rapidly changing. To exploit the potential of emerging data, and to provide the field with improved state-of-the-art germline sets, an intermediate approach is needed that will allow the rapid publication of consolidated sets derived from these emerging sources. These sets must use a consistent naming scheme and allow refinement and consolidation into genes as new information emerges. Name changes should be minimised, but, where changes occur, the naming history of a sequence must be traceable. Here we outline the current issues and opportunities for the curation of germline IG/TR genes and present a forward-looking data model for building out more robust germline sets that can dovetail with current established processes. We describe interoperability standards for germline sets, and an approach to transparency based on principles of findability, accessibility, interoperability, and reusability.

关键词： AIRR-seq Immune receptor Immune receptor germline Immune receptor repertoire Rep-seq

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Initial ASEAN digital security and interoperability standard proposal

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AIP Conference Proceedings 2023年第1期2739卷

作者： Sangsuree Vasupongayya Gunawan Hutagalung Obrina Candra Chalee Vorakulpipat Doni Purnomo Parinda Wattanasri Eko Supriyanto Shukor Abd Razak Othman Ibrahim Anazida Zainal Sri Devi Ravana Hiep Cong Pham Tharith Sriv Daw Khin Myo Su Mora Hertanto Agus Winarno Prabaswari Raden Muhammad Taufik Yuniantoro Badrus Zaman Fatmawati Retna Apsari Yutika Amelia Effendi Norjihan Abdul Ghani Zarina Shukur Hamidah Ibrahim Nur Izura Udzir Marnel Peradilla Jude Michael Teves Nestor Michael Tiglao Cenon Alfonso Pg Emeroylariffion Abas Mueen Uddin Agustin Kusumayati Brian Sri Prahastuti Department of Computer Engineering Faculty of Engineering Prince of Songkla University Hatyai Songkhla 90110 THAILAND Directorate General of Post and Information Technology Ministry of Communication and Information Technology Jakarta INDONESIA Politeknik Siber dan Sandi Negara National Cyber & Crypto Agency (BSSN) Depok West Java INDONESIA Information Security Research Team at National Electronics and Computer Technology Center Bangkok THAILAND National Standardization Agency of Indonesia Jakarta INDONESIA Department of Disease Control Ministry of Public Health Mueang Nonthaburi Nonthaburi THAILAND School of Biomedical Engineering and Health Sciences Faculty of Engineering Universiti Teknologi Malaysia Johor Bahru Johor MALAYSIA IJN-UTM Cardiovascular Engineering Center Institute of Human Centered Engineering Universiti Teknologi Malaysia Johor Bahru Johor MALAYSIA School of Computing Faculty of Engineering Universiti Teknologi Malaysia Johor Bahru Johor MALAYSIA Faculty of Computer Science & Information Technology Universiti Malaya Kuala Lumpur MALAYSIA RMIT University Vietnam Ho Chi Minh City VIETNAM Royal University of Phnom Penh Phnom Penh CAMBODIA Yangon University of Economics Yangon MYANMAR Agency for the Assessment and Application of Technology (BPPT) Jakarta INDONESIA Faculty of Science and Technology Universitas Airlangga Surabaya East Java INDONESIA Faculty of Advanced Technology and Multidiscipline Universitas Airlangga Surabaya East Java INDONESIA Centre for Cyber Security Universiti Kebangsaan Malaysia Bangi Selangor MALAYSIA Faculty of Computer Science and Information Technology Universiti Putra Malaysia Serdang Selangor MALAYSIA Computer Technology Department College of Computer Studies De La Salle University Manila PHILIPPINES Software Technology Department College of Computer Studies De La Salle University Manila PHILIPPINES Electrical and Electronics Engineering Institute University of the Philippines Diliman Quezon City P

In this work, the result of the initial attempt to propose an Association of Southeast Asian Nations (ASEAN) digital security and interoperability standard to support the mobility among ASEAN countries is presented. Literature reviews on existing coronavirus disease 2019 (COVID-19) related digital technologies of six ASEAN member countries are conducted. Several concerns related to creating/implementing the ASEAN digital security and interoperability standard are discussed including the technology accessing concern, the data security and privacy concern, and the data interoperability and availability concern. The proposed solution toward creating an ASEAN digital security and interoperability standard is then presented. To evaluate the proposed solution, a survey has been conducted on representatives of nine ASEAN countries on four main issues including the security standards and requirements, the interoperability standard and requirements, the certifications, and the implementation challenges. According to the survey and the discussion, seven recommendations were proposed toward creating an ASEAN digital security and interoperability standard. First, each country collects and maintains the data of its own citizens and also provides a method to authenticate and access the data by authorized requests. Second, QR code standard or ASEAN QR code standard must be agreed upon so that it can be authenticated and verified by ASEAN countries. Third, health risk assessment must be agreed upon to be used. Forth, the security standard, the data, the data format and the exchange protocol must be agreed upon at the ASEAN policy level while adoption of international standards as an implementation guideline will ease of the process and neutralize different requirements from various countries. Fifth, any accountability of incidents must be agreed upon at the ASEAN policy level. Sixth, certification might be extended to certification of risk assessment for organizations, products or

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An In-Depth Analysis of visual Tracking with Siamese Neural Networks

arXiv

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arXiv 2017年

作者： Pflugfelder, Roman Centre of Digital Safety & Security AIT Austrian Institute of Technology Institute of Visual Computing & Human-Centred Technology University of Technology Vienna

to study the whole literature nor is it an attempt to review all kinds of neural networks proposed for visual tracking. We focus instead on Siamese neural networks which are a promising starting point for studying the challenging problem of tracking. These networks integrate efficiently feature learning and the temporal matching and have so far shown state-of-the-art performance. In particular, the branches of Siamese networks, their layers connecting these branches, specific aspects of training and the embedding of these networks into the tracker are highlighted. Quantitative results from existing papers are compared with the conclusion that the current evaluation methodology shows problems with the reproducibility and the comparability of results. The paper proposes a novel Lisp-like formalism for a better comparison of trackers. This assumes a certain functional design and functional decomposition of trackers. The paper tries to give foundation for tracker design by a formulation of the problem based on the theory of machine learning and by the interpretation of a tracker as a decision function. The work concludes with promising lines of research and suggests future *** survey presents a deep analysis of the learning and inference capabilities in nine popular trackers. It is neither intended Copyright © 2017, The Authors. All rights reserved.

关键词： Deep learning

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Medical image denoising using sparse representations

Medical image denoising using sparse representations

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International Conference on Awareness Science and technology (iCAST)

作者： Fatma S. Abousaleh Neng-Hao Yu Kai-Lung Hua Wen-Huang Cheng Social Networks and Human Centered Computing Program Institute of Information Science Research Center for Information Technology Innovation Academia Sinica Taipei Taiwan Department of Computer Science National Chengchi University Taipei Taiwan Department of Computer Science and Information Engineering Taiwan University of Science and Technology Taipei Taiwan

Image noise reduction, or denoising, became an attractive research domain in the recent years. There are several published approaches in the image denoising field and each one has its presumptions, advantages, and limitations. In this paper, we address the problem of eliminating or even decreasing the noise from medical images. Some schemes for image noise reduction are proposed. The schemes include DCT_OMP, DCT_BOMP, Log Gabor_BOMP, DCT_OCMP and Wavelet_OMP. In these schemes, the image content is represented as a sparse linear combination of a set of atoms that can be obtained from some trained dictionaries. In literature, several algorithms are proposed to build up these kinds of dictionaries. In our study, the K-SVD algorithm is utilized to obtain a dictionary that can effectively describe the image. Also, some greedy algorithms are used to perform the sparse-coding of the signal. The proposed schemes have been tested on two different medical images with different levels of an additive noise. The Log Gabor_BOMP scheme showed a significant outperformance, in both the de-noising results and computational time, on all the other schemes.

关键词： Matching pursuit algorithms Dictionaries Approximation algorithms Image denoising Noise reduction Discrete cosine transforms Algorithm design and analysis

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Introducing the HOBBIT platform into the Ontology Alignment Evaluation campaign 13

Introducing the HOBBIT platform into the Ontology Alignment ...

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13th International Workshop on Ontology Matching, OM 2018

作者： Jiménez-Ruiz, Ernesto Saveta, Tzanina Zamazal, Ondřej Hertling, Sven Röder, Michael Fundulaki, Irini Ngomo, Axel-Cyrille Ngonga Sherif, Mohamed Ahmed Annane, Amina Bellahsene, Zohra Ben Yahia, Sadok Diallo, Gayo Faria, Daniel Kachroudi, Marouen Khiat, Abderrahmane Lambrix, Patrick Li, Huanyu Mackeprang, Maximilian Mohammadi, Majid Rybinski, Maciej Balasubramani, Booma Sowkarthiga Trojahn, Cassia Alan Turing Institute London United Kingdom Department of Informatics University of Oslo Norway Institute of Computer Science - FORTH Greece University of Economics Prague Czech Republic Data and Web Science Group University of Mannheim Germany Paderborn University Data Science Group Pohlweg 51 PaderbornD-33098 Germany Ecole Nationale Superieure d'Informatique Alger Algeria LIRMM Universit de Montpellier CNRS Montpellier France Université de Tunis El Manar LIPAH-LR 1ES14 Tunis2092 Tunisia BPH Center INSERM U1219 Team ERIAS LaBRI UMR5800 University of Bordeaux France Instituto Gulbenkian de Ciência Portugal Human-Centered Computing Freie Universitat Berlin Berlin4195 Germany Linköping University Swedish e-Science Research Centre Linköping Sweden Delft University of Technology Netherlands Dpto. Lenguajes y Ciencias de la Computación University of Malaga Spain ADVIS Lab. Department of Computer Science University of Illinois Chicago United States Institut de Recherche en Informatique de Toulouse France

This paper describes the Ontology Alignment Evaluation Initiative 2017.5 pre-campaign. Like in 2012, when we transitioned the evaluation to the SEALS platform, we have also conducted a pre-campaign to assess the feasibility of moving to the HOBBIT platform. We report the experiences of this pre-campaign and discuss the future steps for the OAEI. © 2018 CEUR-WS.

关键词： Ontology

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