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X-WR-CALDESC:Events for IVADO
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DTSTART:20160313T070000
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DTSTART:20161106T060000
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20161017
DTEND;VALUE=DATE:20161020
DTSTAMP:20260421T194124
CREATED:20160610T153535Z
LAST-MODIFIED:20190627T172030Z
UID:5670-1476662400-1476921599@vieux.ivado.ca
SUMMARY:IEEE International Conference on Data Science and Advanced Analytics
DESCRIPTION:Following the first successful edition DSAA’2014 held in 2014 in Shanghai\, then the second successful edition DSAA’2015 held in Paris\, the 2016 IEEE International Conference on Data Science and Advanced Analytics (IEEE DSAA’2016)\, sponsored by the IEEE Computational Intelligence Society\, aims to provide a premier forum that brings together researchers\, industry practitioners\, as well as potential users of big data\, for discussion and exchange of ideas on the latest theoretical developments in Data Science as well as on the best practices for a wide range of applications. \nDSAA is also technically sponsored by ACM through SIGKDD. \nResearch and Applications\nIEEE DSAA’2016 will consist of two main Tracks: Research and Application; the Research Track is aimed at collecting contributions related to theoretical foundations of Data Science and Data Analytics. The Application Track is aimed at collecting contributions related to applications of Data Science and Data Analytics in real life scenarios. DSAA solicits then both theoretical and practical works on data science and advanced analytics. \nProf. Yoshua Bengio\, Prof. Juliana Freire and Prof. David Donoho will be keynote speakers.
URL:https://vieux.ivado.ca/en/events/ieee-international-conference-on-dsaa/
LOCATION:Montreal Marriott Chateau Champlain\, 1050 de la Gauchetiere West\, Montreal\, QC\, H3B 4C9\, Canada
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20160920
DTEND;VALUE=DATE:20160921
DTSTAMP:20260421T194124
CREATED:20160906T150545Z
LAST-MODIFIED:20190627T162148Z
UID:5854-1474329600-1474415999@vieux.ivado.ca
SUMMARY:Droit ouvert pour données ouvertes
DESCRIPTION:Les données ouvertes sont à la mode… Les potentialités économiques sont considérables. Les données sont la «monnaie» du numérique et les appétits se manifestent de tous bords tous côtés. Qu’elles soient publiques\, privées\, anonymisées\, hébergées dans les «nuages» ou non\, les enjeux juridiques se multiplient que ce soit en terme de vie privée\, de sécurité\, de contrat\, de responsabilité\, etc. \nFace à cette réalité\, il importe de considérer le droit comme un outil susceptible d’encadrer les meilleures pratiques en la matière. Néanmoins\, ce droit\, tout comme le domaine qu’il tente d’encadrer doit être ouvert afin d’être véritablement efficace. Un droit ouvert pour les données ouvertes; un droit qui puisse véritablement assurer une protection des usagers sans profiter seulement aux intérêts commerciaux.
URL:https://vieux.ivado.ca/en/events/droit-ouvert-donnees-ouvertes/
LOCATION:Plaza Montréal\, 420 Sherbrooke Ouest\, Montréal\, Québec\, Canada
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20160804
DTEND;VALUE=DATE:20160805
DTSTAMP:20260421T194124
CREATED:20160617T155848Z
LAST-MODIFIED:20160617T160136Z
UID:5706-1470268800-1470355199@vieux.ivado.ca
SUMMARY:Impact of online tracking on vehicle routing with dynamic travel
DESCRIPTION:With an application in the pick-up of blood samples\nThis talk analyzes the impact of vehicle tracking devices\, such as global positioning systems\, on a vehicle routing problem with time windows in the presence of dynamic customer requests and dynamic travel times. It is empirically demonstrated that substantial improvements are achieved over a previously reported model which does not assume such tracking devices. We also analyze how the system handles dynamic perturbations to the travel times that lead to earliness or lateness in the planned schedule. The benefit of the approach is illustrated for the pick-up of blood samples and the delivery of medical items\, for which unusual time windows are considered. \nSpeaker: Nicolas Zufferey\, full professor of operations management at the University of Geneva in Switzerland.
URL:https://vieux.ivado.ca/en/events/impact-of-online-tracking-on-vehicle-routing-with-dynamic-travel/
LOCATION:Université de Montréal\, Pavillon André-Aisenstadt\, Pavillon André-Aisenstadt\, Montréal\, QC\, H3T 1J4\, Canada
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20160801
DTEND;VALUE=DATE:20160808
DTSTAMP:20260421T194124
CREATED:20160616T201437Z
LAST-MODIFIED:20190909T181111Z
UID:5703-1470009600-1470614399@vieux.ivado.ca
SUMMARY:Deep Learning Summer School
DESCRIPTION:Deep neural networks that learn to represent data in multiple layers of increasing abstraction have dramatically improved the state-of-the-art for speech recognition\, object recognition\, object detection\, predicting the activity of drug molecules\, and many other tasks. Deep learning discovers intricate structure in large datasets by building distributed representations\, either via supervised\, unsupervised or reinforcement learning. \nThis summer schools is aimed at graduate students and industrial engineers and researchers who already have some basic knowledge of machine learning (and possibly but not necessarily of deep learning) and wish to learn more about this rapidly growing field of research. \nThis year’s edition of the summer school is organized by Aaron Courville and Yoshua Bengio.
URL:https://vieux.ivado.ca/en/events/deep-learning-summer-school/
LOCATION:Lieu sans nom\, Montreal\, Canada
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20160704
DTEND;VALUE=DATE:20160709
DTSTAMP:20260421T194124
CREATED:20160617T171830Z
LAST-MODIFIED:20160617T172159Z
UID:5710-1467590400-1468022399@vieux.ivado.ca
SUMMARY:Analyse des réseaux avec l'ESPUM!
DESCRIPTION:École d’été – Maîtriser l’analyse des réseaux de relations sociales\nL’École de santé publique de l’Université de Montréal organise cinq journées complètes pour appliquer l’analyse de réseaux de relations sociales dans les disciplines des sciences sociales et de la santé à des fins de recherche\, d’évaluation\, d’intervention et de gestion.
URL:https://vieux.ivado.ca/en/events/ecole-dete-maitriser-lanalyse-reseaux-de-relations-sociales/
LOCATION:École de santé publique de l’Université de Montréal\, 7101\, avenue du Parc\, 3ième étage\, bureau 3014-8\, Montréal\, QC\, H3N 1X9\, Canada
CATEGORIES:Santé
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160628T170000
DTEND;TZID=America/New_York:20160628T190000
DTSTAMP:20260421T194124
CREATED:20160621T133339Z
LAST-MODIFIED:20160621T133551Z
UID:5719-1467133200-1467140400@vieux.ivado.ca
SUMMARY:Contact MTL présente Yoshua Bengio!
DESCRIPTION:Le professeur Bengio aura l’occasion de nous entretenir sur l’état actuel des développements technologiques et scientifiques en intelligence artificielle\, ainsi que de l’importance de la délibération collective à propos des décisions à prendre ainsi que des impacts présents et futurs de cette technologie dans notre société.
URL:https://vieux.ivado.ca/en/events/contact-mtl-presente-yoshua-bengio/
LOCATION:Maison Notman\, 51 Rue Sherbrooke Ouest\, Montréal\, QC\, H2X 1X2\, Canada
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160510T173000
DTEND;TZID=America/New_York:20160510T210000
DTSTAMP:20260421T194124
CREATED:20160427T145126Z
LAST-MODIFIED:20191015T123904Z
UID:5492-1462901400-1462914000@vieux.ivado.ca
SUMMARY:Big data dans le domaine de la santé
DESCRIPTION:Les opportunités et les défis du big data dans le domaine de la santé\nPour cette édition du Hacking Health Café\, nous avons réuni des professionnels de l’industrie de la santé et des chercheurs universitaires pour discuter de l’innovation dans le domaine de santé possible avec le big data\, les données ouvertes et l’intelligence artificielle. \nNe manquez pas cette opportunité d’apprendre davantage de l’expérience de plusieurs professionnels de la recherche et de l’industrie. Vous aurez également la chance de leur poser des questions durant le panel de discussion! \nComment tirer avantage des données existantes dans votre organisation? Participez au Health Hacking Cafe le 10 mai pour découvrir toutes les opportunités et les défis du big data. \nHacking Health est fier de s’associer à L’institut de valorisation des données (IVADO)\, le regroupement le plus performant en publications au monde sur la recherche opérationnelle et le deep learning. \nLes présentations du HH Café auront lieu à l’amphithéâtre Justine Lacoste du CHU Sainte-Justine. \n  \nConférenciers\nJonathan Vallée\, Directeur Données Scientifiques\, AlayaCare – www.alayacare.com \nLouis-Martin Rousseau\, Professeur\, Polytechnique Montréal \nJoseph Tcherkezian\, Chercheur Associé\, Cartagene – www.cartagene.qc.ca \nSébastien Lemieux\, chercheur\, IRIC (Institut de recherche en immunologie) – www.iric.ca   \nNicolas Chapados\, conseiller scientifique en chef\, Imagia – www.imagia.com \n 
URL:https://vieux.ivado.ca/en/events/opportunites-defis-big-data-domaine-de-sante/
LOCATION:Amphithéâtre Justine Lacoste – CHU Sainte-Justine\, 3175 Chemin de la Côte-Sainte-Catherine\, Montréal\, QC\, H3T 1C4\, Canada
ATTACH;FMTTYPE=image/png:https://vieux.ivado.ca/wp-content/uploads/2016/04/logo.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160502T080000
DTEND;TZID=America/New_York:20160504T170000
DTSTAMP:20260421T194124
CREATED:20160411T120009Z
LAST-MODIFIED:20200618T154318Z
UID:5141-1462176000-1462381200@vieux.ivado.ca
SUMMARY:Optimization days and PROMÉTHÉE days 2016
DESCRIPTION:The Optimization days are an annual event held conjointly with the Inter-university research centre on enterprise networks\, logistics and transportation (CIRRELT) and the Group for research in decision analysis (GERAD). \nThe themes of these days are focusing on theories\, numerical methods and optimization applications. They give researchers interested in these fields the opportunity to meet with new individuals and new institutions from across the globe in orde to generate exchanges and potential collaborations \n  \n 
URL:https://vieux.ivado.ca/en/events/journees-de-loptimisation-avec-les-journees-promethee-2016/
LOCATION:HEC Montréal\, 3000\, chemin de la Côte-Sainte-Catherine\,  Montréal \, québec\, H3T 2A7\, Canada
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160316T090000
DTEND;TZID=America/New_York:20160316T170000
DTSTAMP:20260421T194124
CREATED:20160207T232132Z
LAST-MODIFIED:20190627T162827Z
UID:5146-1458118800-1458147600@vieux.ivado.ca
SUMMARY:DIRO's Women in computer sciences day
DESCRIPTION:Conference and networking: \nInterested in a career in computer sciences? Join us for the DIRO Women’s day on March 16th\, 2016 to meet passionate and inspirational women\, that are currently working in the field of computer sciences and information technology as researchers or employees of prestigious companies such as Google and Ubisoft. \nWhen : Wednesday 16th of March\, from 9AM to 5PM\nWhere : Université de Montréal\, Pavillon André-Aisenstadt (Montréal)\nPrice : Free ! Lunch included. \nFor more information on the event: \nOfficial page (in French)
URL:https://vieux.ivado.ca/en/events/diros-women-in-computer-sciences-day/
LOCATION:Université de Montréal\, Pavillon André-Aisenstadt\, Pavillon André-Aisenstadt\, Montréal\, QC\, H3T 1J4\, Canada
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160311T104500
DTEND;TZID=America/New_York:20160311T120000
DTSTAMP:20260421T194124
CREATED:20160208T164541Z
LAST-MODIFIED:20160208T173154Z
UID:5166-1457693100-1457697600@vieux.ivado.ca
SUMMARY:A 40-year journey in data science and technology\, from academia to industry
DESCRIPTION:Presentation of Philippe Collard – Président\, Le Link Inc.\, Canada \nOver the course of the past 40 years\, I have been witness to and an actor of an amazing transformation in what we called “technology”. My first exposure to this world was when I wrote my first program for an an IBM 360 on punch cards. I was later involved in medical imaging (where we were first exposed to “big data”). Then went on to work for NASA on climate science in the 90s. And I have been involved in more technology ventures since then from the industry side. \nI have now more power in my pocket in my iPhone 6 than I had at my disposal when I tried to analyse cloud images on Cray computers 20 years ago. What has been this journey? What did I learn from it? and how should we look at technology today? What about artificial intelligence? what about big data? what about virtual reality? how do we make sense of it all\, sorting through what is real\, what could become real\, what probably will never be and what is hype? Follow me on a time travel trip: from the past to the future. \nSÉMINAIRE DU GERAD\nMarch 11th\, 2016 10:45AM – 12:00PM (Noon) \nRoom 4488\nPavillon André-Aisenstadt\nCampus de l’Université de Montréal\n2920\, chemin de la Tour Montréal QC H3T 1J4 Canada
URL:https://vieux.ivado.ca/en/events/a-40-year-journey-in-data-science-and-technology-from-academia-to-industry/
LOCATION:Université de Montréal\, Pavillon André-Aisenstadt\, Pavillon André-Aisenstadt\, Montréal\, QC\, H3T 1J4\, Canada
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160226T140000
DTEND;TZID=America/New_York:20160226T150000
DTSTAMP:20260421T194124
CREATED:20160208T173851Z
LAST-MODIFIED:20160208T174944Z
UID:5174-1456495200-1456498800@vieux.ivado.ca
SUMMARY:Opportunities and frontiers in machine learning for applied sciences
DESCRIPTION:Presentation of Mohammad Attarian Shandiz – Université McGill\, Canada \nModern methods in machine learning have provided many opportunities for solving complex problems in applied science. Hence\, for a data scientist is essential to be familiar with the most important and current fields of research in machine learning and data mining. In this talk\, the most significant fields of research in machine learning and data mining are introduced based on the survey in the database of scientific journals. Subsequently\, various applications of machine learning for some challenging problems in medicine\, finance and engineering are discussed. Lastly\, the results of optimized classifiers for a classification problem in the field of lithium-ion batteries are presented. Ensemble methods including random forests and extremely randomized trees provided the highest accuracy of prediction among other methods for the classification based on the Monte Carlo cross validation tests. \nGERAD seminar\nFebruary 26t\,h 2016 2:00PM – 3:00PM \nRoom 4488\nPavillon André-Aisenstadt\nCampus de l’Université de Montréal\n 2920\, chemin de la Tour Montréal QC H3T 1J4 Canada
URL:https://vieux.ivado.ca/en/events/opportunities-and-frontiers-in-machine-learning-for-applied-sciences/
LOCATION:Université de Montréal\, Pavillon André-Aisenstadt\, Pavillon André-Aisenstadt\, Montréal\, QC\, H3T 1J4\, Canada
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160219T104500
DTEND;TZID=America/New_York:20160219T120000
DTSTAMP:20260421T194124
CREATED:20160208T180355Z
LAST-MODIFIED:20160208T180743Z
UID:5178-1455878700-1455883200@vieux.ivado.ca
SUMMARY:Optimizing Google's Cloud infrastructure
DESCRIPTION:Conference of Brian Eck – Google\, États-Unis \nGoogle’s Cloud infrastructure consists of the servers\, network\, datacenters and software that run all of Google’s services like Search\, Gmail and Youtube as well as it’s fast growing external business\, Google Cloud Platform. We’ll discuss three case studies in optimizing this infrastructure\, covering challenges not only in solving the analytical problems but also in solving the business problems to reach real implementation and impact. Case studies will include some subset of: \n\nOptimizing build frequency for adding capacity to the network\,\nAnalyzing scenarios of metro network topology to inform strategy\, including cost implications of adjusting forecasts\,\nBuilding ‘forecast tolerant’ networks that buffer for fault-tolerance and forecast variation\,\nLow-cost methods of physical grooming on a city-level fiber infrastructure\,\nReducing stranded compute resources through simulation\,\nIncreasing resource utilization through statistical oversubscription.\n\n  \nGERAD seminar\nFebruary 19th\, 2016 at 10:45AM – 12:00PM (Noon) \nRoom 4488\nPavillon André-Aisenstadt\nCampus de l’Université de Montréal\n2920\, chemin de la Tour Montréal QC H3T 1J4 Canada
URL:https://vieux.ivado.ca/en/events/5176/
LOCATION:Université de Montréal\, Pavillon André-Aisenstadt\, Pavillon André-Aisenstadt\, Montréal\, QC\, H3T 1J4\, Canada
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160122T160000
DTEND;TZID=America/New_York:20160122T170000
DTSTAMP:20260421T194124
CREATED:20160121T031418Z
LAST-MODIFIED:20160207T230339Z
UID:5136-1453478400-1453482000@vieux.ivado.ca
SUMMARY:Big data & mixed-integer (nonlinear) programming
DESCRIPTION:Andrea Lodi – Full professor\, Canada Excellence Research Chair in Data Science for Real-Time Decision-Making\, Polytechnique Montréal.\nThis conference is in english. \n“In this talk\, I review a couple of applications on Big Data that I personally like and I try to explain my point of view as a Mathematical Optimizer — especially concerned with discrete (integer) decisions — on the subject. I advocate a tight integration of Data Mining\, Machine Learning and Mathematical Optimization (among others) to deal with the challenges of decision-making in Data Science. Those challenges are the core of the mission of the Canada Excellence Research Chair in “Data Science for Real-time Decision Making” that I hold.” Prof. Andrea Lodi.
URL:https://vieux.ivado.ca/en/events/big-data-mixed-integer-nonlinear-programming/
LOCATION:UQÀM\, Pavillon Président-Kennedy\, Salle PK 5115\, 201\, avenue du Président-Kennedy\, Montreal\, québec\, Canada
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20160118T100000
DTEND;TZID=America/New_York:20160118T120000
DTSTAMP:20260421T194125
CREATED:20160114T014839Z
LAST-MODIFIED:20160207T230348Z
UID:5137-1453111200-1453118400@vieux.ivado.ca
SUMMARY:GERAD: Reverse Stackelberg games: Theory and applications in traffic control
DESCRIPTION:
URL:https://vieux.ivado.ca/en/events/gerad-reverse-stackelberg-games-theory-and-applications-in-traffic-control/
LOCATION:Université de Montréal\, Pavillon André-Aisenstadt\, Pavillon André-Aisenstadt\, Montréal\, QC\, H3T 1J4\, Canada
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20150910
DTEND;VALUE=DATE:20150911
DTSTAMP:20260421T194125
CREATED:20160112T040644Z
LAST-MODIFIED:20190627T125103Z
UID:3958-1441843200-1441929599@vieux.ivado.ca
SUMMARY:Yoshua Bengio: Artificial Intelligence and Deep-Learning
DESCRIPTION:Conference of Yoshua Bengio\, full professor in Artificial Intelligence at the department of Computer Science and Operations Research of Université de Montréal \n 
URL:https://vieux.ivado.ca/en/events/yoshua-bengio-intelligence-artificielle-et-apprentissage-profond/
LOCATION:Université de Montréal\, Pavillon André-Aisenstadt\, Pavillon André-Aisenstadt\, Montréal\, QC\, H3T 1J4\, Canada
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