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地址:德国
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cslab.cc
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HTTP/1.1 301 永久重定向 服务器:nginx 访问时间:2019年06月07日 19:58:47 类型:text/html 文件大小:178 连接:keep-alive 目标网址:http://www.cslab.cc/ HTTP/1.1 200 OK 服务器:nginx 访问时间:2019年06月07日 19:58:47 类型:text/html 文件大小:7434 连接:keep-alive Upgrade: h2 修改日期:2019年05月29日 03:11:27 网页标记:"5acf-589f76e851b24-gzip" 接受单位:字节 动作:Accept-Encoding Content-Encoding: gzip 页面编码:utf-8
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抓取时间:2019年06月07日 19:58:47
网址:http://cslab.cc/
标题:CSLab - Computational Sensemaking Lab
关键字:
描述:
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网址:http://cslab.cc/
标题:CSLab - Computational Sensemaking Lab
关键字:
描述:
主体:
Computational Sensemaking LabTilburg University, CSAI (Cognitive Science and Artificial Intelligence)researchpublicationssoftwareAssociate Professor Dr. habil.Martin Atzmueller - PIContact: m.atzmuller@uvt.nlStefan Bloemheuvel - Master studentCicek Güven - Lecturer/ResearcherRick Mackenbach - Master studentSpyroula Masiala - PhD studentMenno van Leeuwen - Master studentMartijn van Otterlo - Assistant ProfessorParisa Shayan - PhD studentTravis Wiltshire - Assistant ProfessorAssociated ResearchersArjan Haring - Scientific Associate (JADS)Daan Kolkman - Associated Researcher (Postdoc/Senior Researcher, JADS) Werner Liebregts - Associated Researcher (Assistant Professor, JADS) Frederique van Leeuwen - Associated Researcher (PhD student, JADS) Research - About The Computational Sensemaking Lab (CSLab) focuses on how to ‘make sense‘ in the context of complex information and knowledge processes from an interdisciplinary perspective. By collecting and analyzing rich data to transform our understanding of individuals, organizations, and societies, we aim at augmenting human intelligence for assisting the involved actors in all their purposes both online and in the physical world. This is enabled by developing computational methods and tools for computational sensemaking, focusing on advanced data modeling, explicative analysis, and transparent decision-support. Our research focuses on: Explicative Data Science, e.g., using Pattern Mining Social Sensing, e.g., using Wearable Sensors Artificial Intelligence - Machine Learning Human-Machine Intelligence Social Signal Processing Complex Networks Big Data CSLab is an interdisciplinary group of scholars, mainly based at the Department of Cognitive Science and Artificial Intelligence (DCA) at Tilburg University. With a branch at the Jheronimus Academy of Data Science (JADS), it also integrates a number of associated researchers from JADS. News Paper accepted at the International Workshop on Transparent, Explainable and Affective AI in Medical Systems (TEAAM), co-located with the 17th International Conference on AI in Medicine: Erica Ramirez, Markus Wimmer, Martin Atzmueller. A Computational Framework for Interpretable Anomaly Detection and Classification of Multivariate Time Series with Application to Human Gait Data Analysis Abstract accepted at Performing Robots Conference: Homo Sentient AI: Investigating Moments of Shifting Consciousness. Team: Petra Ardai, Rinske Bosma, Lisa Rombout, Ecaterina Grigoriev, Andrius Penkauskas, Bo Doan, Maryam Alimardani, Paris Mavromoustakos Blom, Martin Atzmueller Journal Paper accepted at Small Business Economics. Special Issue on Big Data and Artificial Intelligence: Werner Liebregts, Pourya Darnihamedani, Eric Postma and Martin Atzmueller. The Promise of Social Signal Processing for Research on Decision Making in Entrepreneurial Contexts Journal Paper in Scientometrics: Mark Kibanov, Raphael Heiberger, Simone Roedder, Martin Atzmueller and Gerd Stumme. S