Découvrez comment la mobilisation de vos données massives peut améliorer l’expérience utilisateur (UX)

•

1 like•588 views

Présentation dans le cadre du Forum TI (Les écosystèmes de données au service de vos affaires) organisé par Les Affaires. Comment prendre en compte l’émotion dans la conception de produits et services ? Comment évaluer l’expérience utilisateur – l’expérience vécue avec des technologies ? Participez à une présentation qui vous mènera au cœur de l’interaction humain-technologie avec la valorisation des données au centre de l’aide à la décision. http://www.lesaffaires.com/evenements/conferences/forum-ti/593989

Data & Analytics

Forum TI :
Les écosystèmes de données au service de vos affaires !
Découvrez comment
visualiser l’expérience réelle
de vos utilisateurs en mobilisant
vos données massives
Prof. Dr. Pierre-Majorique Léger
Co-directeur Tech3Lab, HEC Montréal
13 septembre 2017. Montréal

© Copyright Léger (2017)© Copyright Léger (2017)

© Copyright Léger (2017)
cognition
attention
Émotions
1 gigaoctet/heure
encyclopedia
encyclopedia
encyclopedia
encyclopedia
encyclopedia
encyclopedia
encyclopedia
encyclopedia

© Copyright Léger (2017)© Copyright Tech3Lab 2015© Copyright Léger (2017)

© Copyright Léger (2017)
Facile
à utiliser ?

© Copyright Léger (2017)
Facile
à utiliser ?
3 sur 5

© Copyright Léger (2017)
Utilisation des données neurophysiologiques
pour optimiser l'expérience utilisateur (UX)
cognition
attention
Émotions
L'OCULOMÉTRIE
mÉsures NÉurophysiologiQUE
1 gigaoctet / heure
par participant
Aider les designers
à prendre des décisions
Autoadapter les interfaces
A B

© Copyright Léger (2017)
frontalis
Corrugator
Zygomaticus

© Copyright Léger (2017)
NEUTRAL
HAPPY
SAD
DISCUSTED
ANGRY
SURPRISED
SCARED

© Copyright Léger (2017)
NEUTRAL
HAPPY
SAD
ANGRY
SURPRISED
SCARED
DISCUSTED

© Copyright Léger (2017)
densité de la
fixation oculaire

© Copyright Léger (2017)
Émotions positives
Émotions négatives

2 x 3 = ?
facile
14 x 17 = ?
difficile
© Copyright Léger (2017)

© Copyright Léger (2017)
applicationapplication
A B

© Copyright Léger (2017)
dÉplaisir plaisir

© Copyright Léger (2017)
dÉplaisir
difficile
Facile
plaisir

© Copyright Léger (2017)
dÉplaisir
difficile
Facile
zone optimale
plaisir

© Copyright Léger (2017)
dÉplaisir
difficile
Facile
zone optimale
plaisir
application
A

© Copyright Léger (2017)
application
A
application
B
dÉplaisir
difficile
Facile
zone optimale
plaisir

© Copyright Léger (2017)
Comparaison de la perception
de la douceur en ligne
Carette, J., Léger, P-M., Sénécal, S., (2017) Visual Discrimination of Softness of Hygiene Tissue in the
Absence of Haptic Feedback, TAPPI Journal, Vol. 16(7), page 439-449

© Copyright Léger (2017)
Msi’s GT72s Tobii laptop from
www.engadget.com/2016/02/08/msi-tobii-eye-tracking-laptop
oculomÈtre

© Copyright Léger (2017)
Nouveau livre chez Springer:
R. Riedl, P.-M. Léger
Fundamentals of NeuroIS
Information Systems and the Brain
Series: Studies in Neuroscience, Psychology and
Behavioral Economics
▪▪ Provides the fundamentals of NeuroIS
▪▪ Guides the reader to theories and tools which are relevant for this field
▪▪ Contains tutorial-like illustrations which enhance understanding
▪▪ Written by experts in the field

https://montreal.iiba.org/event/demi-journee-conference-2017-les-nouvelles-technologies-et-techniques-au-service-de-lanalyste Connaissez-vous vraiment l'expérience de vos utilisateurs ? Le Professeur Pierre-Majorique Léger est un chercheur, inventeur et entrepreneur. Ses recherches visent à améliorer l'expérience utilisateur (UX) vécue lors de l'apprentissage ou de l'utilisation d'une technologie d'information (TI). Dans ses travaux, il mobilisent les données biophysiologiques massives générées lors de l'interaction avec les TI et ce afin de découvrir l'expérience émotionnelle et cognitive réellement vécue par les utilisateurs. Professeur titulaire en technologies de l'information, il est co-directeur du Tech3Lab de HEC Montréal. Il est également professeur invité à la prestigieuse Tuck School of Business du Dartmouth College et au Henry B. Tippie School of Management de la University of Iowa. Il est l'auteur d'une cinquantaine d'articles scientifiques arbitrés, d'une dizaine de déclarations d'invention et le fondateur de plusieurs start-ups.

Conférence Momentum Deloitte Montréal : Les neurosciences pour évaluer l'expé...

Pierre-Majorique Léger

You don’t know what users really experience on your website! How neuroscienc...

Pierre-Majorique Léger

Neuroscience-based UX research

Pierre-Majorique Léger

The UX of Augmented Reality

UXPA International

Smart Data Webinar: Advances in Natural Language Processing I - Understanding

DATAVERSITY

Natural Language Processing (NLP) – once on the frontier of AI as a research topic with maddeningly low accuracy – is rapidly becoming a requirement for mainstream consumer, enterprise, and public sector applications. Today, one can build a system that allows natural language text or speech input without knowing much more than a few API specs. From chatbots to search engine translation services to applications that scour social media posts looking for business opportunities or terror threats, Natural Language Understanding (NLU) is delivering value today. In this webinar, we will cover the basics of NLU processing and knowledge representation, semantic analysis for text analytics, and recent advances in translation functionality driven by machine learning. Participants will learn how modern approaches have gone beyond counting words with statistical models to predicting speech the way people fill in sentences with context while listening. We will also present examples of commercially available NLP APIs to help participants experiment with NLP in their own applications right away.

Symposium PMI - Montréal : Les neurosciences pour décoder l'expérience utilis...

Pierre-Majorique Léger

Moving Forward with AI

Amazon Web Services

Distinguishing the hype from reality can be a bit confusing, especially when you consider the attention that AI gets from the media and commentators. So, how can your organisation get started and put AI to work for you? That is the question I will answer in this talk. From greater customer intimacy, increasing competitive advantage and improving efficiency, I will discuss and show how AI can be used today and help the organisation in more impactful ways.

No single approach to knowledge classification and access is best for every application. This webinar will help participants choose the right approach(es) to support their own cognitive computing application. The science and engineering of data management for computational efficiency is well-understood. We have algorithms and heuristics to pre-fetch data and instructions and distribute them based on properties of the algorithms, data sets, applications, and system software and hardware. We have decades of experience fine-tuning hardware, networks, operating systems, compilers and applications based on physics. Now we need to start thinking in terms of biology. Fortunately, we don’t have to actually model the 100B neurons or 100-500 trillion synapses in the human brain in hardware or software. We do need a well-specified knowledge model to organize refined data based on how we expect to query and further refine it. What we store constrains which questions a cognitive system may be able to answer. How we organize this knowledge may determine whether our system can answer questions or generate hypotheses efficiently or effectively.

Deep Learning | A Step Closer To Artificial Intelligence | Edureka Live

Edureka!

AI & Deep learning with Tensorflow course: https://goo.gl/8qbeVK This tutorial we will take you through Deep Learning concepts, how it is a way of achieving Artificial Intelligence. You will also learn how Deep Learning works along with some use-cases. Below were the topics we will cover in this live session: 1. Artificial Intelligence and its Subsets 2. Machine Learning and its Limitations 3. Deep Learning and its Mechanics 4. Deep Learning Use-Cases Check our complete AI & Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE Please write back to us at sales@edureka.co or call us at +91 88808 62004 for more information. Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka

Moving Forward with AI - as presented at the Prosessipäivät 2018

Adrian Hornsby

https://www.oppia.fi/prosessipaivat/ - Self-Driving cars. Commercial drones. Smart cameras. Movie and music creation. Powerful & intelligent robots. Over the past few years, a new revolution has brought AI almost to the level of science-fiction. However, most companies are not worried about far-off futuristic applications of AI, they want to know what AI can do - today - for their organisations. Distinguishing the hype from reality can be a bit confusing, especially when you consider the attention that AI gets from the media and commentators. So, how can your organisation get started and put AI to work for you? That is the question I will answer in this talk. From greater customer intimacy, increasing competitive advantage and improving efficiency, I will discuss and show how AI can be used today and help the organisation in more impactful ways.

Introduction to Artificial Intelligence | AI using Deep Learning | Edureka

Edureka!

This slide on Artificial intelligence will give you an introduction to artificial intelligence with futuristic applications of AI. It also tells you how to implement artificial intelligence using deep neural networks. The slide covers the following topics: 1. What is Artificial Intelligence & its applications 2. Subsets of AI - Machine Learning & Deep Learning 3. What is Deep Learning? 4. Use Case - Recognizing handwritten digits from MNIST dataset 5. Applications of Deep Learning

Deep Learning at AWS: Embedding & Attention Models

Amazon Web Services

Panel SXSW : The Internet of Me : Impact of biometrics and machine learning o...

Pierre-Majorique Léger

Abstract : The explosion of consumer based sensors and machine learning is at the core of advancements in biometrics and neurophysiology, and never has so much data been available. Dedicated technologies and applications have started to disrupt the way we understand ourselves, our health and the way we interact with each other and Things. The Canadian Space Agency, and CAE Inc. will be discussing how these developments are impacting their technology roadmaps and vision, and how tech centers like the Tech3Lab qualify emotion and cognitive responses to allow for a better understanding of users health and performance. Mar 13, 2017 | 10:00am – 10:45am

Big Data Engineer Skills and Job Description | Edureka

Edureka!

YouTube Link - https://youtu.be/B4bVJ_U6CmE ** Big Data Masters Training Program: https://www.edureka.co/masters-program/big-data-architect-training ** This Edureka PPT on "Big Data Engineer Skills" will tell you the required skill sets to become a Big Data Engineer. It includes the following topics: Who is a Big Data Engineer? Big Data Engineer Responsibilities Big Data Engineer Skills How to acquire those skills? Follow us to never miss an update in the future. YouTube: https://www.youtube.com/user/edurekaIN Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka

Fuzzy Matching to the Rescue

Domino Data Lab

by Jennifer Shin Senior Principal Data Scientist, Nielsen With more and more data being collected from consumers, finding a efficient solution to aligning data over time can become increasingly difficult and yet, even more necessary. Whether it's a change in the data collection process or an error in the system, working with big data requires tools that can account for real world complexities. This talk with introduce the benefits and complexities of implementing a 'fuzzy' solution using the Levenshtein algorithm. Attendees will walk away with a high level understanding of fuzzy matching algorithms and learn how it can be effectively applied to solve real word business problem.

My data dual book 4.5.2017

Smart Paper

SmartData Slides: Machine Learning - From Discovery to Understanding

DATAVERSITY

Science and engineering are complementary disciplines, and in their distinctions, we see promise for an expanded role for machine learning (ML). The goal of science is discovery - identifying patterns of evidence that point to fundamental truths. Engineering uses this knowledge to build systems and solutions to problems. Science discovers the truth, engineering uses the understanding of truth to create. Within the #ModernAI landscape, machine learning has become the gold-standard for pattern discovery. Applications ranging from the identification of cat images on YouTube to autonomous vehicle control have captured the imagination. Less heralded are opportunities to apply ML to systems that understand what they have discovered. That’s the next frontier. This webinar will present an overview of ML fundamentals and then show examples and a framework to identify opportunities for ML-enabled understanding.

Bird.i keynote at the Hadoop UK User Group

Corentin Guillo

Jon Epstein - LAC 2017 - Disruptive technologies: AI and the future of market...

iGB Affiliate

It's never been a better or a more daunting time to be a marketer. New disruptive technologies are changing how we shop, how we sell and even how we experience our digital worlds. Artificial intelligence, virtual reality, IoT and augmented reality will fundamentally change the landscape for marketers over the next 5 years. And for affiliate marketers, understanding this new landscape will spell the difference between growth and decline. In this session, Sentient Technologies CMO Jon Epstein will look at new technologies disrupting marketing today, as well as what's on the horizon. The presentation will inform you about key trends you need to stay aware of and discuss the kinds of impacts they could have on how you work and the results you can achieve. Key trends in marketing technologies to stay aware of What the impact will be on affiliate marketing results in the future

Smart Data Webinar: See Me, Feel Me, Touch Me, Heal Me - The Rise of the Cogn...

DATAVERSITY

We are a long way from systems that “understand” people, but technologies to “recognize” emotions from word usage, voice characteristics, facial expressions, and gestures are here today and improving rapidly. Not far behind are technologies that allow systems to respond expressively with more appropriate tone and content - written and vocal - and relevant facial expressions on avatars and robots driven by brain-inspired models (not to be confused with neural networks). This webinar will present an overview of emerging technologies and applications for the next generation of Perceptive Input and Expressive Output interfaces. Participants will learn about the state of the art today, and how to identify apps in their own environment that would be good candidates for enhanced interfaces.

Ecosystm AI Word Cloud July 2018

Chris White

What is Deep Learning | Deep Learning Simplified | Deep Learning Tutorial | E...

Edureka!

This Edureka "What is Deep Learning" video will help you to understand about the relationship between Deep Learning, Machine Learning and Artificial Intelligence and how Deep Learning came into the picture. This tutorial will be discussing about Artificial Intelligence, Machine Learning and its limitations, how Deep Learning overcame Machine Learning limitations and different real-life applications of Deep Learning. Below are the topics covered in this tutorial: 1. What Is Artificial Intelligence? 2. What Is Machine Learning? 3. Limitations Of Machine Learning 4. Deep Learning To The Rescue 5. What Is Deep Learning? 6. Deep Learning Applications To take a structured training on Deep Learning, you can check complete details of our Deep Learning with TensorFlow course here: https://goo.gl/VeYiQZ

Monitoring Pull vs Push, InfluxDB and Prometheus

Gianluca Arbezzano

Fuzzy Matching on Apache Spark with Jennifer Shin

Databricks

SMART PAPER D.U.A.L. book

Smart Paper

GPSBUS201-GPS Demystifying Artificial Intelligence

Amazon Web Services

Making Your User Stories "Ready" to Get to "Done"

EBG Consulting, Inc.

One of the most challenging and trouble-prone aspects of Agile product development is discovering the right product requirements to deliver at the right time for the right customer. Many teams rely on user stories to discover and define Agile product requirements. In reality, user stories often lead to a confusing array of struggles and puzzles, such as bloated backlogs, ineffective or inconsistent planning, and erratic sprint flow. This thrashing is not how user stories are intended to work EBG’s Ellen Gottesdiener in this fast-paced introduction of a common sense, tested approach to user stories. With a laser-like focus on delivering value, you follow a story as it’s sliced across the 7 Product Dimensions. You learn how the Structured Conversation framework enables you to quickly explore, evaluate, and confirm stories. See how making your user stories “ready” is the key for incremental delivery of your “Done” product. (Note: you have the option of viewing the video from the start, or continuing to view the slide deck)

Comment mobiliser les neurosciences et l’intelligence numérique pour améliore...

Pierre-Majorique Léger

Webinaire du 6 mai par Prof Pierre-Majorique Léger Le Tech3Lab et la Chaire UX de HEC Montréal se spécialisent dans l'amélioration de l’expérience utilisateur (UX) vécue lors de l’apprentissage ou de l’utilisation de technologies de l’information, et ce en mobilisant grâce aux plus récentes avancées en intelligence numérique les données biophysiologiques massives générées lors de l’interaction et permettant de qualifier l’émotion et la cognition de l’utilisateur. Cette conférence présente un résumé des avancées scientifiques et industrielles réalisées par les chercheurs du Tech3lab. Des exemples concrets de collaborations avec les partenaires industrielles les Chaire UX seront présentés afin d’illustrer clairement les bénéfices de cette méthodologie unique et novatrice développée par les chercheurs de IVADO.

L’utilisation du téléphone intelligent au travail: mariage de la science et...

Pierre-Majorique Léger

Similar to Découvrez comment la mobilisation de vos données massives peut améliorer l’expérience utilisateur (UX)

Smart Data Webinar: Organizing Data and Knowledge - The Role of Taxonomies an...

DATAVERSITY

Deep Learning | A Step Closer To Artificial Intelligence | Edureka Live

Edureka!

Moving Forward with AI - as presented at the Prosessipäivät 2018

Adrian Hornsby

Introduction to Artificial Intelligence | AI using Deep Learning | Edureka

Edureka!

Deep Learning at AWS: Embedding & Attention Models

Amazon Web Services

Panel SXSW : The Internet of Me : Impact of biometrics and machine learning o...

Pierre-Majorique Léger

Big Data Engineer Skills and Job Description | Edureka

Edureka!

Fuzzy Matching to the Rescue

Domino Data Lab

My data dual book 4.5.2017

Smart Paper

SmartData Slides: Machine Learning - From Discovery to Understanding

DATAVERSITY

Bird.i keynote at the Hadoop UK User Group

Corentin Guillo

Jon Epstein - LAC 2017 - Disruptive technologies: AI and the future of market...

iGB Affiliate

Smart Data Webinar: See Me, Feel Me, Touch Me, Heal Me - The Rise of the Cogn...

DATAVERSITY

Ecosystm AI Word Cloud July 2018

Chris White

What is Deep Learning | Deep Learning Simplified | Deep Learning Tutorial | E...

Edureka!

Monitoring Pull vs Push, InfluxDB and Prometheus

Gianluca Arbezzano

Fuzzy Matching on Apache Spark with Jennifer Shin

Databricks

SMART PAPER D.U.A.L. book

Smart Paper

GPSBUS201-GPS Demystifying Artificial Intelligence

Amazon Web Services

Making Your User Stories "Ready" to Get to "Done"

EBG Consulting, Inc.

Similar to Découvrez comment la mobilisation de vos données massives peut améliorer l’expérience utilisateur (UX) (20)

Smart Data Webinar: Organizing Data and Knowledge - The Role of Taxonomies an...

Deep Learning | A Step Closer To Artificial Intelligence | Edureka Live

Moving Forward with AI - as presented at the Prosessipäivät 2018

Introduction to Artificial Intelligence | AI using Deep Learning | Edureka

Deep Learning at AWS: Embedding & Attention Models

Panel SXSW : The Internet of Me : Impact of biometrics and machine learning o...

Big Data Engineer Skills and Job Description | Edureka

Fuzzy Matching to the Rescue

My data dual book 4.5.2017

SmartData Slides: Machine Learning - From Discovery to Understanding

Bird.i keynote at the Hadoop UK User Group

Jon Epstein - LAC 2017 - Disruptive technologies: AI and the future of market...

Smart Data Webinar: See Me, Feel Me, Touch Me, Heal Me - The Rise of the Cogn...

Ecosystm AI Word Cloud July 2018

What is Deep Learning | Deep Learning Simplified | Deep Learning Tutorial | E...

Monitoring Pull vs Push, InfluxDB and Prometheus

Fuzzy Matching on Apache Spark with Jennifer Shin

SMART PAPER D.U.A.L. book

GPSBUS201-GPS Demystifying Artificial Intelligence

Making Your User Stories "Ready" to Get to "Done"

More from Pierre-Majorique Léger

Comment mobiliser les neurosciences et l’intelligence numérique pour améliore...

Pierre-Majorique Léger

L’utilisation du téléphone intelligent au travail: mariage de la science et...

Pierre-Majorique Léger

Necessity is the mother of invention: Enabling remote measurement of user psy...

Pierre-Majorique Léger

Like all other usability labs, HEC Montréal Tech3Lab had to put the in presence research activities with human subjects on hold early in the pandemic. As a result, the entire Tech3Lab scientific and professional team has embarked on a colossal effort to move data collection activities online. As necessity is the mother of innovations, the Techlab team has developed a new technological ecosystem called COBALT, enabling the precise and rich measurement of user psychophysiological reactions at a distance while interacting with an IT artifact. In this conference, Dr. Pierre-Majorique Léger comes back on the challenges his team overcome during the pandemic. He presents the wide range of long-lasting scientific opportunities that this new methodological ecosystem offers to the IS and HCI communities. Bio: Professor Pierre-Majorique Léger is a researcher, inventor and entrepreneur. He is a Full professor of IT at HEC Montreal and the senior chairholder of the NSERC Industrial Research Chair in User Experience (UX). His research seeks to improve the user experience (UX) while learning or using technology. He does this by analyzing massive amounts of bio-physiological data that are generated during human-IT interactions (HCI), which allows him to qualify emotion and cognitive responses in users. His current industrial research partners include Deloitte Digital, Sobeys, Desjardins, D-Box, Videotron, CN, NBC, CAE, CBC and BlueYonder. He is the co-director of the Tech3Lab, a research laboratory and devoted to the investigation of human factors in information technologies. He is also the principal inventor of ERPsim.

LA NÉCESSITÉ EST LA MÈRE DE L'INVENTION : Vers des tests utilisateurs à dista...

Pierre-Majorique Léger

Comme toutes les autres organisations, le Tech3Lab a dû mettre en pause ses activités en laboratoire. Par conséquent, toute l’équipe scientifique et professionnelle du laboratoire a amorcé un effort colossal pour transférer les activités de tests utilisateurs en ligne. Tous les professionnels ont fait preuve d’une grande ingéniosité et de beaucoup de créativité pour développer de nouvelles procédures de manière à tester à distance les interfaces de nos partenaires. Comme la nécessité est la mère des innovations, l’équipe est arrivée à développer une nouvelle technologie de mesure des émotions à distance qui fera l’objet bientôt d’une déclaration d’invention. Dans le but de faire un retour sur l’expérience du Tech3Lab ainsi que dans le but de partager les méthodologies de tests utilisateurs à distance développées et raffinées durant cette période, nous proposons d’offrir une conférence qui exposera les principaux défis de ce type de test utilisateur. https://www.agiletourmontreal.com/session72?tab=day-2020-11-19 Conférence dans le cadre de Agile Tour Montréal 2020.

Opera meets Neuroscience

Pierre-Majorique Léger

L’utilisation du téléphone intelligent au travail; la science et le droit se ...

Pierre-Majorique Léger

BRAIN-TO-SOCIETY DECISION AND BEHAVIOR SEMINAR : Measuring what users really ...

Pierre-Majorique Léger

The Influence of Task Types on User Experience after a Web Interface Update

Pierre-Majorique Léger

Using cognitive script and cognitive lock-in theories, this paper presents the results of a user experience experiment that tested the user’s emotional and cognitive states when presented with a major redesign of a service provider’s website. A within-subjects design involved 57 participants, who engaged in both informational and transactional tasks during four consecutive visits to a financial institution’s website, generating a total of 772 observations. Psychophysiological data were collected as measures of cognitive load, emotional valence, and emotional arousal during users’ website visits. Results suggest that repeat visits to an updated website lead to decreased cognitive load and increased arousal. They also offered support for the moderating role of task type on the relationship between task repetition and the users’ emotional and cognitive responses. Specifically, transactional tasks were associated with a greater cognitive cost and lower valence than informational tasks during the initial visits to an updated site.

Eye-tracking for IS Research: A Literature Review

Pierre-Majorique Léger

Presentation at SIG-HCI Conference Decembre 15th, In Munich. http://sighci.org/ In this literature review, we describe the Information Systems (IS) research using eye-tracking. Based on a sample of 60 papers published since 2008 in journals and conference proceedings, we examine i) what is the trend in eye-tracking IS research, ii) what types of experimental design have been used, iii) what types of metrics have been collected and iv) what constructs and topics have been investigated. We found that IS research using eye-tracking is broad in its research themes but concentrated in its methods of analysis. All the research is quantitative and mostly use fixation counts on computer desktop. A limited number of articles take advantage of pupil dilation measure or mobile eye-tracking. We call for broadening the methods of collection and analysis in eye-tracking IS research.

Optimisez la formation en ligne des utilisateurs : une nouvelle approche basé...

Pierre-Majorique Léger

SFN 2019 Presentation : Method of and system for processing signals sensed fr...

Pierre-Majorique Léger

Presentation by Pierre-Majorique Léger and Sylvain Sénécal of the latest research latest patent from Tech3Lab. An example of the application of this new technology to the case of Walmart.com is presented. Chicago, Oct 22nd 2019. Reference : Courtemanche, F., Fredette, M., Senecal, S., Leger, P. M., Dufresne, A., Georges, V., & Labonte-lemoyne, E. (2019). U.S. Patent No. 10,368,741. Washington, DC: U.S. Patent and Trademark Office.

User Test: How Many Users Are Needed to Find the Psychophysiological Pain Poi...

Pierre-Majorique Léger

Lamontagne, Charles, Sylvain Sénécal, Marc Fredette, Shang Lin Chen, Romain Pourchon, Yohan Gaumont, David De Grandpré, and Pierre-Majorique Léger. "User Test: How Many Users Are Needed to Find the Psychophysiological Pain Points in a Journey Map?." In International Conference on Human Interaction and Emerging Technologies, pp. 136-142. Springer, Cham, 2019. Abstract : Abstract. The objective of this research is to investigate how many users are needed in usability testing to identify psychophysiological pain points (PPP) experienced by users during a human-computer interaction (HCI). Fifteen subjects were tested in a new user training context and results show that out of 15 participants, 82% of the total PPP were experienced after 9 participants. Calculations using 1000 trials of random orders were then performed to demonstrate the independence of the order. This research provides guidelines about what could be an ideal sample size for user test using psychophysiological measures.

How to conduct scientific research with ERPsim

Pierre-Majorique Léger

Task Switching and Visual Discrimination in Pedestrian Mobile Multitasking: I...

Pierre-Majorique Léger

Presentation at NeuroIS 2019 : With the growing use of smartphones in our daily life, mobile multitasking has become a widespread (and often dangerous) behavior. Research on mobile multitasking thus far only focuses on a limited number of IT tasks that can be performed with a smartphone: talking, listening to music, and texting. Thus, we do not know the extent to which these results generalize to other types of mobile multitasking behaviors such as reading while walking and gaming while walking. Also, we do not know the extent to which motor movement through physical space (i.e., walking vs. only standing) affects this phenomena. The current paper reports on an ongoing research that explores these questions. Our preliminary results suggest that mobile and standing multitasking leads to the inability to perceive incoming stimuli. Gaming appears to be the most dangerous mobile multitasking task for pedestrians.

How to plan and execute an ecologically valid NeuroIS study

Pierre-Majorique Léger

What is the real experience of your online customer? A NeuroIS approach at us...

Pierre-Majorique Léger

Comment réduire le cybermalaise de la réalité virtuelle ?

Pierre-Majorique Léger

Comment réduire le cybermalaise de la réalité virtuelle ? La réalité virtuelle peut nous faire croire à un monde parallèle, mais notre organisme, lui, n’est pas toujours dupe. Il peut réagir en causant une variété de symptômes, allant du bref inconfort jusqu’à des nausées et étourdissements prolongés. Ce mal du virtuel – ou cybermalaise – affecte un grand nombre d’utilisateurs. Cette conférence présente une étude récente, menée en collaboration avec la firme D-BOX Technologies, sur les effets de l’utilisation d’un mouvement parfaitement aligné sur les stimuli virtuels afin d’augmenter l’immersion et de réduire le cybermalaise des utilisateurs. Pierre-Majorique Léger, HEC Professeur Pierre-Majorique Léger est un chercheur, inventeur et entrepreneur. Ses recherches visent à améliorer l’expérience utilisateur (UX) vécue lors de l’apprentissage ou de l’utilisation d’une technologie d’information (TI), et ce, en mobilisant les données biophysiologiques massives générées lors de l’interaction et permettant de qualifier l’émotion et la cognition de l’utilisateur. Il est détenteur d’un Ph.D. en génie industriel de l’École Polytechnique de Montréal et d’un postdoctorat en technologies de l’information de HEC Montréal et du NYU Stern School of Business. Il est professeur à HEC Montréal en TI, mais également professeur invité à la prestigieuse Tuck School of Business du Dartmouth College et au Henry B. Tippie School of Management de l’University of Iowa. Récemment, il est devenu le titulaire de la Chaire de recherche industrielle CRSNG-Prompt en expérience utilisateur financée par les gouvernements du Québec et du Canada, mais aussi en partenariat avec des entreprises québécoises pour la recherche en expérience utilisateur soit Deloitte Digital, Sobeys, Mouvement Desjardins, D-Box, Videotron and JDA Software. Il est l’auteur d’une cinquantaine d’articles scientifiques arbitrés, d’une dizaine de déclarations d’invention et le fondateur de plusieurs start-ups.

Connaissez-vous vraiment les émotions de vos utilisateurs?

Pierre-Majorique Léger

Decoding what users really experience with NeuroIS

Pierre-Majorique Léger

Establishing and Operating a NeuroIS Lab

Pierre-Majorique Léger

More from Pierre-Majorique Léger (20)

Comment mobiliser les neurosciences et l’intelligence numérique pour améliore...

L’utilisation du téléphone intelligent au travail: mariage de la science et...

Necessity is the mother of invention: Enabling remote measurement of user psy...

LA NÉCESSITÉ EST LA MÈRE DE L'INVENTION : Vers des tests utilisateurs à dista...

Opera meets Neuroscience

L’utilisation du téléphone intelligent au travail; la science et le droit se ...

BRAIN-TO-SOCIETY DECISION AND BEHAVIOR SEMINAR : Measuring what users really ...

The Influence of Task Types on User Experience after a Web Interface Update

Eye-tracking for IS Research: A Literature Review

Optimisez la formation en ligne des utilisateurs : une nouvelle approche basé...

SFN 2019 Presentation : Method of and system for processing signals sensed fr...

User Test: How Many Users Are Needed to Find the Psychophysiological Pain Poi...

How to conduct scientific research with ERPsim

Task Switching and Visual Discrimination in Pedestrian Mobile Multitasking: I...

How to plan and execute an ecologically valid NeuroIS study

What is the real experience of your online customer? A NeuroIS approach at us...

Comment réduire le cybermalaise de la réalité virtuelle ?

Connaissez-vous vraiment les émotions de vos utilisateurs?

Decoding what users really experience with NeuroIS

Establishing and Operating a NeuroIS Lab

Recently uploaded

一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理

mbawufebxi

原版定制【微信:41543339】【(Bradford毕业证书)布拉德福德大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】【业务选择办理准则】一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才留信网服务项目： 1、留学生专业人才库服务（留信分析） 2、国（境）学习人员提供就业推荐信服务 3、留学人员区块链存储服务 → 【关于价格问题（保证一手价格）】我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子我给客户的都是第一手的代理价格，因为我想坦诚对待大家不想跟大家在价格方面浪费时间对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！

Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...

John Andrews

SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation" Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults Description: Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project. Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas

06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...

Timothy Spann

06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI Discussion on Vector Databases, Unstructured Data and AI https://www.meetup.com/unstructured-data-meetup-new-york/ This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.

一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理

ahzuo

UIUC毕业证offer【微信95270640】☀《伊利诺伊大学|厄巴纳-香槟分校毕业证购买》GoogleQ微信95270640《UIUC毕业证模板办理》加拿大文凭、本科、硕士、研究生学历都可以做,二、业务范围： ★、全套服务：毕业证、成绩单、化学专业毕业证书伪造《伊利诺伊大学|厄巴纳-香槟分校大学毕业证》Q微信95270640《UIUC学位证书购买》 (诚招代理)办理国外高校毕业证成绩单文凭学位证,真实使馆公证（留学回国人员证明）真实留信网认证国外学历学位认证雅思代考国外学校代申请名校保录开请假条改GPA改成绩ID卡 1.高仿业务:【本科硕士】毕业证,成绩单（GPA修改）,学历认证（教育部认证）,大学Offer,,ID,留信认证,使馆认证,雅思,语言证书等高仿类证书； 2.认证服务: 学历认证（教育部认证）,大使馆认证（回国人员证明）,留信认证（可查有编号证书）,大学保录取,雅思保分成绩单。 3.技术服务：钢印水印烫金激光防伪凹凸版设计印刷激凸温感光标底纹镭射速度快。办理伊利诺伊大学|厄巴纳-香槟分校伊利诺伊大学|厄巴纳-香槟分校毕业证offer流程： 1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）； 2开始安排制作毕业证成绩单电子图； 3毕业证成绩单电子版做好以后发送给您确认； 4毕业证成绩单电子版您确认信息无误之后安排制作成品； 5成品做好拍照或者视频给您确认； 6快递给客户（国内顺丰国外DHLUPS等快读邮寄） -办理真实使馆公证（即留学回国人员证明） -办理各国各大学文凭（世界名校一对一专业服务,可全程监控跟踪进度） -全套服务：毕业证成绩单真实使馆公证真实教育部认证。让您回国发展信心十足！（详情请加一下文凭顾问+微信:95270640）欢迎咨询！的鬼地方父亲的家在高楼最底屋最下面很矮很黑是很不显眼的地下室父亲的家安在别人脚底下须绕过高楼旁边的垃圾堆下八个台阶才到父亲的家很狭小除了一张单人床和一张小方桌几乎没有多余的空间山娃一下子就联想起学校的男小便处山娃很想笑却怎么也笑不出来山娃很迷惑父亲的家除了一扇小铁门连窗户也没有墓穴一般阴森森有些骇人父亲的城也便成了山娃的城父亲的家也便成了山娃的家父亲让山娃呆在屋里做作业看电视最多只能在门口透透气间

一比一原版(UofS毕业证书)萨省大学毕业证如何办理

v3tuleee

原版定制【微信:41543339】【(UofS毕业证书)萨省大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】【业务选择办理准则】一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才留信网服务项目： 1、留学生专业人才库服务（留信分析） 2、国（境）学习人员提供就业推荐信服务 3、留学人员区块链存储服务 → 【关于价格问题（保证一手价格）】我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子我给客户的都是第一手的代理价格，因为我想坦诚对待大家不想跟大家在价格方面浪费时间对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！

原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样

u86oixdj

学校原件一模一样【微信：741003700 】《(swinburne毕业证书)斯威本科技大学毕业证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。本公司拥有海外各大学样板无数，能完美还原。 1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700 【主营项目】一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！二.真实使馆公证(即留学回国人员证明,不成功不收费) 三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度) 如果您处于以下几种情况： ◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】 ◇面对父母的压力，希望尽快拿到； ◇不清楚认证流程以及材料该如何准备； ◇回国时间很长，忘记办理； ◇回国马上就要找工作，办给用人单位看； ◇企事业单位必须要求办理的 ◇需要报考公务员、购买免税车、落转户口 ◇申请留学生创业基金留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才

06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...

Timothy Spann

Adjusting OpenMP PageRank : SHORT REPORT / NOTES

Subhajit Sahu

For massive graphs that fit in RAM, but not in GPU memory, it is possible to take advantage of a shared memory system with multiple CPUs, each with multiple cores, to accelerate pagerank computation. If the NUMA architecture of the system is properly taken into account with good vertex partitioning, the speedup can be significant. To take steps in this direction, experiments are conducted to implement pagerank in OpenMP using two different approaches, uniform and hybrid. The uniform approach runs all primitives required for pagerank in OpenMP mode (with multiple threads). On the other hand, the hybrid approach runs certain primitives in sequential mode (i.e., sumAt, multiply).

Machine learning and optimization techniques for electrical drives.pptx

balafet

The Building Blocks of QuestDB, a Time Series Database

javier ramirez

Talk Delivered at Valencia Codes Meetup 2024-06. Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds. It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.

一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理

oz8q3jxlp

原版定制【微信:41543339】【(Deakin毕业证书)迪肯大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】【业务选择办理准则】一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才留信网服务项目： 1、留学生专业人才库服务（留信分析） 2、国（境）学习人员提供就业推荐信服务 3、留学人员区块链存储服务 → 【关于价格问题（保证一手价格）】我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子我给客户的都是第一手的代理价格，因为我想坦诚对待大家不想跟大家在价格方面浪费时间对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！

一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理

74nqk8xf

毕业原版【微信:41543339】【(Coventry毕业证书)考文垂大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】【业务选择办理准则】一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才留信网服务项目： 1、留学生专业人才库服务（留信分析） 2、国（境）学习人员提供就业推荐信服务 3、留学人员区块链存储服务 → 【关于价格问题（保证一手价格）】我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子我给客户的都是第一手的代理价格，因为我想坦诚对待大家不想跟大家在价格方面浪费时间对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！

一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理

slg6lamcq

原版定制【微信:41543339】【(Adelaide毕业证书)阿德莱德大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】【业务选择办理准则】一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。留信网认证的作用: 1:该专业认证可证明留学生真实身份 2:同时对留学生所学专业登记给予评定 3:国家专业人才认证中心颁发入库证书 4:这个认证书并且可以归档倒地方 5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息 6:个人职称评审加20分 7:个人信誉贷款加10分 8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才留信网服务项目： 1、留学生专业人才库服务（留信分析） 2、国（境）学习人员提供就业推荐信服务 3、留学人员区块链存储服务 → 【关于价格问题（保证一手价格）】我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子我给客户的都是第一手的代理价格，因为我想坦诚对待大家不想跟大家在价格方面浪费时间对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！

Data_and_Analytics_Essentials_Architect_an_Analytics_Platform.pptx

AnirbanRoy608946

Nanandann Nilekani's ppt On India's .pdf

eddie19851

Best best suvichar in gujarati english meaning of this sentence as Silk road ...

AbhimanyuSinha9

Algorithmic optimizations for Dynamic Levelwise PageRank (from STICD) : SHORT...

Subhajit Sahu

Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.

Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdf

GetInData

Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots. In this presentation, we will show how we built upon these three concepts a robust Data Copilot that can help to democratize access to company data assets and boost performance of everyone working with data platforms. Why do we need yet another (open-source ) Copilot? How can we build one? Architecture and evaluation

My burning issue is homelessness K.C.M.O.

rwarrenll

Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdf

Enterprise Wired

Recently uploaded (20)

一比一原版(Bradford毕业证书)布拉德福德大学毕业证如何办理

Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...

06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...

一比一原版(UIUC毕业证)伊利诺伊大学|厄巴纳-香槟分校毕业证如何办理

一比一原版(UofS毕业证书)萨省大学毕业证如何办理

原版制作(swinburne毕业证书)斯威本科技大学毕业证毕业完成信一模一样

06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...

Adjusting OpenMP PageRank : SHORT REPORT / NOTES

Machine learning and optimization techniques for electrical drives.pptx

The Building Blocks of QuestDB, a Time Series Database

一比一原版(Deakin毕业证书)迪肯大学毕业证如何办理

一比一原版(Coventry毕业证书)考文垂大学毕业证如何办理

一比一原版(Adelaide毕业证书)阿德莱德大学毕业证如何办理

Data_and_Analytics_Essentials_Architect_an_Analytics_Platform.pptx

Nanandann Nilekani's ppt On India's .pdf

Best best suvichar in gujarati english meaning of this sentence as Silk road ...

Algorithmic optimizations for Dynamic Levelwise PageRank (from STICD) : SHORT...

Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdf

My burning issue is homelessness K.C.M.O.

Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdf

Découvrez comment la mobilisation de vos données massives peut améliorer l’expérience utilisateur (UX)

1. Forum TI : Les écosystèmes de données au service de vos affaires ! Découvrez comment visualiser l’expérience réelle de vos utilisateurs en mobilisant vos données massives Prof. Dr. Pierre-Majorique Léger Co-directeur Tech3Lab, HEC Montréal 13 septembre 2017. Montréal

8. © Copyright Léger (2017) Prof. Pierre-Majorique Léger, Ph.D. Professeur titulaire Directeur ERPsim Lab Co-directeur Tech3Lab pml@hec.ca Doctorat Post-Doctorat Laboratoires Financement Professeur invité Lab Serious games to learn enterprise systems and business analytics https://www.researchgate.net/profile/Pierre-Majorique_Leger

19. © Copyright Léger (2017) Utilisation des données neurophysiologiques pour optimiser l'expérience utilisateur (UX) cognition attention Émotions L'OCULOMÉTRIE mÉsures NÉurophysiologiQUE 1 gigaoctet / heure par participant Aider les designers à prendre des décisions Autoadapter les interfaces A B

21.

32. 2 x 3 = ?

33. 14 x 17 = ?

47.

48. © Copyright Léger (2017) Comparaison de la perception de la douceur en ligne Carette, J., Léger, P-M., Sénécal, S., (2017) Visual Discrimination of Softness of Hygiene Tissue in the Absence of Haptic Feedback, TAPPI Journal, Vol. 16(7), page 439-449

49.

53. © Copyright Léger (2017) Nouveau livre chez Springer: R. Riedl, P.-M. Léger Fundamentals of NeuroIS Information Systems and the Brain Series: Studies in Neuroscience, Psychology and Behavioral Economics ▪▪ Provides the fundamentals of NeuroIS ▪▪ Guides the reader to theories and tools which are relevant for this field ▪▪ Contains tutorial-like illustrations which enhance understanding ▪▪ Written by experts in the field

54. Merci!

Découvrez comment la mobilisation de vos données massives peut améliorer l’expérience utilisateur (UX)

Recommended

Recommended

More Related Content

Similar to Découvrez comment la mobilisation de vos données massives peut améliorer l’expérience utilisateur (UX)

Similar to Découvrez comment la mobilisation de vos données massives peut améliorer l’expérience utilisateur (UX) (20)

More from Pierre-Majorique Léger

More from Pierre-Majorique Léger (20)

Recently uploaded

Recently uploaded (20)

Découvrez comment la mobilisation de vos données massives peut améliorer l’expérience utilisateur (UX)