February 2017 - Infovis

ESANN 2017 program available
by Michel Verleysen 09 Feb '17

09 Feb '17

We apologize for possible duplicates of this message sent to distribution lists. ESANN 2017: European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Bruges, Belgium, 26-28 April 2017 http://www.esann.org/ The preliminary program of the ESANN 2017 conference is now available: http://www.esann.org/. For 25 years the ESANN conference has become a major event in the field of neural computation and machine learning. ESANN is a selective conference focusing on fundamental aspects of artificial neural networks, machine learning, statistical information processing and computational intelligence. Mathematical foundations, algorithms and tools, and applications are covered. ESANN 2017 will include the following sessions: - Deep and kernel methods: best of two worlds - Randomized Machine Learning approaches: analysis and developments - Classification - Biomedical data analysis in translational research: integration of expert knowledge and interpretable models - Environmental signal processing: new trends and applications - Kernels, graphs and clustering - Regression, robots and biological systems - Processing, Mining and Visualizing Massive Urban Data - Signal and image processing, collaborative filtering - Algorithmic Challenges in Big Data Analytics - Deep learning The program of the conference can be found at http://www.esann.org/, together with practical information about the conference venue, registration, etc. The conference will be held in Bruges (also called "Venice of the North"), one of the most beautiful medieval towns in Europe. Bruges can be reached by train from Brussels in less than one hour (frequent trains). Designated as the "Venice of the North", the city has preserved all the charms of the medieval heritage. Its centre, which is inscribed on the Unesco World Heritage list, is in itself a real open air museum. ======================================================== ESANN - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning http://www.esann.org/ * For submissions of papers, reviews, registrations: Michel Verleysen Univ. Cath. de Louvain - Machine Learning Group 3, pl. du Levant - B-1348 Louvain-la-Neuve - Belgium tel: +32 10 47 25 51 - fax: + 32 10 47 25 98 mailto:esann@uclouvain.be * Conference secretariat d-side conference services 24 av. L. Mommaerts - B-1140 Evere - Belgium tel: + 32 2 730 06 11 - fax: + 32 2 730 06 00 mailto:esann@uclouvain.be ========================================================

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CFP: Visual Analytics in Healthcare Workshop at IEEE VIS 2017
by Visual Analytics Healthcare 07 Feb '17

07 Feb '17

CALL FOR PAPERS, POSTERS, AND DEMONSTRATIONS: Workshop on Visual Analytics in Healthcare (VAHC) (In conjunction with IEEE VIS 2017, Oct 1st or Oct 2nd, Phoenix, Arizona) Website: www.visualanalyticshealthcare.org *** Paper Submissions due May 1st, 2017 *** CALL FOR PAPERS: ---------------- The 2017 Workshop on Visual Analytics in Healthcare (VAHC 2017) is the eighth annual workshop that provides an opportunity for participants to discuss state-of-the-art data visualization techniques and review how such techniques can be applied to healthcare data. The primary objective of the annual workshop is to bring together medical experts, leading scientists, and visionaries to discuss visualization techniques that can be applied to healthcare data and discuss the areas of healthcare that need more attention from the visualization and visual data mining communities. The workshop will allow participants to showcase their ongoing work on visual analytics of healthcare-related data through podium, posters, or demo presentations as well as to learn more about emerging techniques, software applications, and datasets. In years past, demos of prototype and/or production visual analytics software have been particularly well received, and paper submitters should also consider submitting a companion demo proposal. During the last seven years the Workshop on Visual Analytics in Healthcare (VAHC) has been organized and hosted annually. The VAHC workshop has been hosted four times at the IEEE VIS conference (2010, 2011, 2012, and 2015) and three times at the AMIA Annual Symposium (2013, 2014, and 2016). This year the VAHC 2017 workshop is held in conjunction with the IEEE VIS conference in Phoenix, Arizona. For information about all previous VAHC events and to access the open-access proceedings from each of the previous workshops, please see http://www.visualanalyticshealthcare.org. TOPICS AND SCOPE: ------------------ We will welcome discussions of the use of visual approaches, interaction design, statistical methods, and machine learning for healthcare data analysis. Participants may address the needs of a variety of users, including clinical researchers, epidemiologists, public health analysts, pharmaco-vigilance experts, physicians, hospital-based quality assurance officers, insurance claim analysts, and patients. Topics of interests include but are not limited to: * Visualization of Public Health Data * Visualization of patient-generated health data * Design principles of Dashboards for Public Health Surveillance programs * Visual analysis and exploration of longitudinal clinical data * Visual data mining of EMRs * Visualization of prescriptions drug-drug interactions * Improving hospital and operating room (OR) workflow with visual analytics * Outcome forecasting or prediction * Visual analytics for patient safety * Pandemic forecasting and tracking * Visual analytics in radiology * Visual analytics in the emergency department (ED) * Improving patient understanding and/or physician-patient communication with visual analytics * Visual Analytics as a means for knowledge discovery * Human Computer Interaction of EHRs PAPER SUBMISSION AND FORMAT GUIDELINES: --------------------------------------- We encourage a diverse range of submissions and demonstrations from academic, healthcare organizations, and industry that addresses any of the topics listed above. Submissions can be for (1) paper / podium presentations, (2) poster presentations, or (3) live & interactive demonstrations. - Paper: Papers are limited to eight pages. Accepted papers will be published on the IEEE Xplore digital library and the USB proceedings drive of the IEEE VIS conference. - Poster: Poster abstract submissions are limited to two pages. Accepted posters will be included in the USB proceedings drive of the IEEE VIS conference. - Demo: Demonstration abstract submissions are limited to two pages. Accepted demonstration abstracts will be included in the USB proceedings drive of the IEEE VIS conference. All material should be submitted via the Precision Conference System (PCS). Contact vahc.sig at gmail.com if you have any questions. IMPORTANT DATES: ---------------- Deadline for submission: May 1st, 2017 Notification of acceptance: Jun 19th, 2017 † Camera-ready papers due: July 6th, 2017 VAHC 2017 workshop: October 1st or Oct 2nd, 2017 (to be determined by VIS 2017) JOIN OUR MAILING LIST: ---------------------- Visit www.visualanalyticshealthcare.org to join our mailing list. NEWS: ----- Proceedings of the 2016 Workshop on Visual Analytics in Healthcare (VAHC 2016) are now available at http://www.visualanalyticshealthcare.org/proceedings.html ORGANIZERS: ---------------- Jurgen Bernard - Darmstadt University of Technology, Germany (juergen.bernard at gris.tu-darmstadt.de) Jesus J Caban - NICoE, Walter Reed National Military Medical Center Theresia Gschwandtner - Vienna University of Technology (gschwandtner at cvast.tuwien.ac.at) Jeremy Warner - Vanderbilt University and the Vanderbilt-Ingram Cancer Center, Nashville, TN (USA)

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Online Certificate Program Targets Data Scientists
by H. Michelle Chen 02 Feb '17

02 Feb '17

Dear Colleagues, We're going to be hearing a lot about data agility, big data governance, and machine learning this year. Those are three of the top six trends for big data identified by Information Management. As the field evolves, organizations are quickly adopting new models and processes, creating a strong demand for data scientists. The #1 job in America had 4,184 active job listings on Glassdoor as of January 1. With a Certificate in Big Data <http://ischool.sjsu.edu/programs/certificate-big-data?utm_source=listservs&…> from the San Jose State University School of Information, aspiring or advancing data scientists will be ready for this fast-growing job market. Courses <http://ischool.sjsu.edu/programs/big-data-certificate/courses?utm_source=li…> focus on data processing, retrieval and management technology tools, data visualization and analysis, and large-scale data mining. The nine-unit program is *100% online* with no mandatory in-person meeting times. Its flexibility affords working professionals the convenience to fit course work around their busy schedules. Plus, it can be completed in as quickly as two semesters! Please email me <http://ischoolapps.sjsu.edu/email/email.php?fname=Michelle&lname=Chen> for more information and visit the program website <http://ischool.sjsu.edu/programs/certificate-big-data?utm_source=listservs&…>. I provided a few helpful links below. Feel free to forward this email to your friends and coworkers. *Quick Links:* Course Descriptions <http://ischool.sjsu.edu/programs/big-data-certificate/courses?utm_source=li…> Admission Requirements <http://ischool.sjsu.edu/programs/big-data-certificate/admissions-process?ut…> Fees <http://ischool.sjsu.edu/programs/big-data-certificate/admissions-process#fe…> Sincerely, H. Michelle Chen, Ph.D. Assistant Professor, School of Information Program Coordinator, Certificate in Big Data San Jose State University One Washington Square, San Jose, CA 95192-0029 SJSU iSchool: ischool.sjsu.edu Certificate in Big Data: ischool.sjsu.edu/programs/certificate-big-data

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