Adjunta información sobre la plaza para Investigador Titular en INAOE Puebla, Mexico, Electrónica, Comunicaciones.
Fecha límite 30 de Noviembre de 2021.
Más información en liga:
Saludos cordiales
Dra. Gordana Jovanovic Dolecek
Convocatoria plaza para Investigador Titular INAOE Puebla, Mexico, Electronica Comunicaciones
October 31st, 2021 
Daniela Lopez de Luise 
Convocatoria.pdfDeepLearn 2022 Spring: early registration November 15
October 29th, 2021 Daniela Lopez de Luise 6th INTERNATIONAL SCHOOL ON DEEP LEARNING
DeepLearn 2022 Spring
Guimarães, Portugal
April 18-22, 2022
*****************
Co-organized by:
Algoritmi Center
University of Minho, Guimarães
Institute for Research Development, Training and Advice – IRDTA
Brussels/London
******************************************************************
Early registration: November 15, 2021
******************************************************************
SCOPE:
DeepLearn 2022 Spring will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, and Bournemouth.
Deep learning is a branch of artificial intelligence covering a spectrum of current frontier research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, biomedical informatics, image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience.
Most deep learning subareas will be displayed, and main challenges identified through 24 four-hour and a half courses and 3 keynote lectures, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely.
An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles.
ADDRESSED TO:
Graduate students, postgraduate students and industry practitioners will be typical profiles of participants.
However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses.
Overall, DeepLearn 2022 Spring is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators.
VENUE:
DeepLearn 2022 Spring will take place in Guimarães, in the north of Portugal, listed as UNESCO World Heritage Site and often referred to as the birthplace of the country. The venue will be:
Hotel de Guimarães
Eduardo Manuel de Almeida 202
4810-440 Guimarães
STRUCTURE:
3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another.
Full in vivo online participation will be possible. However, the organizers highlight the importance of face to face interaction and networking in this kind of research training event.
KEYNOTE SPEAKERS:
Christopher Manning (Stanford University), Self-supervised and Naturally Supervised Learning Using Language
Kate Smith-Miles (University of Melbourne), Stress-testing Algorithms via Instance Space Analysis
Zhongming Zhao (University of Texas, Houston), Deep Learning Approaches for Predicting Virus-Host Interactions and Drug Response
PROFESSORS AND COURSES:
Eneko Agirre (University of the Basque Country), [intermediate] Deep Learning for Natural Language Processing
Mohammed Bennamoun (University of Western Australia), [intermediate/advanced] Deep Learning for 3D Vision
Altan Çakır (Istanbul Technical University), [introductory] Introduction to Deep Learning with Apache Spark
Rylan Conway (Amazon), [introductory/intermediate] Deep Learning for Digital Assistants
Jifeng Dai (SenseTime Research), [intermediate] AutoML for Generic Computer Vision Tasks
Jianfeng Gao (Microsoft Research), [introductory/intermediate] An Introduction to Conversational Information Retrieval
Daniel George (JPMorgan Chase), [introductory] An Introductory Course on Machine Learning and Deep Learning with Mathematica/Wolfram Language
Bohyung Han (Seoul National University), [introductory/intermediate] Robust Deep Learning
Lina J. Karam (Lebanese American University), [introductory/intermediate] Deep Learning for Quality Robust Visual Recognition
Xiaoming Liu (Michigan State University), [intermediate] Deep Learning for Trustworthy Biometrics
Jennifer Ngadiuba (Fermi National Accelerator Laboratory), [intermediate] Ultra Low-latency and Low-area Machine Learning Inference at the Edge
Lucila Ohno-Machado (University of California, San Diego), [introductory] Use of Predictive Models in Medicine and Biomedical Research
Bhiksha Raj (Carnegie Mellon University), [introductory] An Introduction to Quantum Neural Networks
Bart ter Haar Romenij (Eindhoven University of Technology), [intermediate] Deep Learning and Perceptual Grouping
Kaushik Roy (Purdue University), [intermediate] Re-engineering Computing with Neuro-inspired Learning: Algorithms, Architecture, and Devices
Walid Saad (Virginia Polytechnic Institute and State University), [intermediate/advanced] Machine Learning for Wireless Communications: Challenges and Opportunities
Yvan Saeys (Ghent University), [introductory/intermediate] Interpreting Machine Learning Models
Martin Schultz (Jülich Research Centre), [intermediate] Deep Learning for Air Quality, Weather and Climate
Richa Singh (Indian Institute of Technology, Jodhpur), [introductory/intermediate] Trusted AI
Sofia Vallecorsa (European Organization for Nuclear Research), [introductory/intermediate] Deep Generative Models for Science: Example Applications in Experimental Physics
Michalis Vazirgiannis (École Polytechnique), [intermediate/advanced] Machine Learning with Graphs and Applications
Guowei Wei (Michigan State University), [introductory/advanced] Integrating AI and Advanced Mathematics with Experimental Data for Forecasting Emerging SARS-CoV-2 Variants
Xiaowei Xu (University of Arkansas, Little Rock), [intermediate/advanced] Deep Learning for NLP and Causal Inference
Guoying Zhao (University of Oulu), [introductory/intermediate] Vision-based Emotion AI
OPEN SESSION:
An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david@irdta.eu by April 10, 2022.
INDUSTRIAL SESSION:
A session will be devoted to 10-minute demonstrations of practical applications of deep learning in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david@irdta.eu by April 10, 2022.
EMPLOYER SESSION:
Firms searching for personnel well skilled in deep learning will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the company and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david@irdta.eu by April 10, 2022.
ORGANIZING COMMITTEE:
Dalila Durães (Braga, co-chair)
José Machado (Braga, co-chair)
Carlos Martín-Vide (Tarragona, program chair)
Sara Morales (Brussels)
Paulo Novais (Braga, co-chair)
David Silva (London, co-chair)
REGISTRATION:
It has to be done at
The selection of 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish.
Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will get exhausted. It is highly recommended to register prior to the event.
FEES:
Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline.
ACCOMMODATION:
Accommodation suggestions are available at
CERTIFICATE:
A certificate of successful participation in the event will be delivered indicating the number of hours of lectures.
QUESTIONS AND FURTHER INFORMATION:
CKNOWLEDGMENTS:
Centro Algoritmi, University of Minho, Guimarães
School of Engineering, University of Minho
Intelligent Systems Associate Laboratory, University of Minho
Municipality of Guimarães
IPMU22 – Call for Special Sessions – extended deadline
October 29th, 2021 Daniela Lopez de Luise Information Processing and Management of Uncertainty in Knowledge-Based Systems
CALL FOR SPECIAL SESSION PROPOSALS
IPMU’2022 seeks original research contributions of a theoretical and methodological nature as well as application-oriented contributions. Leading researchers and practitioners are invited to submit proposals for Special Sessions. The proponents are expected to provide sufficient evidence in support of their special session topic, explaining why it deserves distinct focus and how it relates to the themes of the conference. Evidence of the potential to attract a sufficient number of submissions to the special session should also be provided. Each special session is expected to attract 4 – 6 accepted papers.
PROPOSAL FORMAT
Send your proposal to the Special Sessions Chair Célia da Costa Pereira (celia.da-costa-pereira@univ-cotedazur.fr) in pdf format before Friday, 19 November 2021. Decisions on acceptance or rejection will be provided by Tuesday, 30 November 2021. The proposals should include the following information:
- Title of the session
- List of organizers with contact details and short biographical details (up to 100 words for each organizer)
- Description of the session, why the topic needs specific attention and how it relates to IPMU’2022 themes.
REVIEW PROCESS OF SPECIAL SESSION SUBMISSIONS
Papers submitted to the accepted special sessions will be treated as regular papers from both the perspective of the review process and of the proceedings (e.g., length, timeline). However, the session organizers will be asked to nominate reviewers.
KEY DATES FOR SPECIAL SESSION PROPOSAL
- Special Session Proposals:
- Notification of Special Sessions Acceptance:
- Submission of Full Papers:
- Notification of Acceptance:
- Camera-ready Submission:
Friday, 19 November 2021 (extended)
Tuesday, 30 November 2021
Friday, 14 January 2022
Tuesday, 1 March 2022
Friday, 15 April 2022
NOVARTIS DATATHON CHALLENGE
October 28th, 2021 Daniela Lopez de Luise Dear all
I hope this email emails finds you well.
I am Noemi Ruiz, from the organization of the 4th edition of the Novartis Datathon Challenge, which this year, as in the previous edition, will be 100% online.
I am contacting you to propose a collaboration agreement for dissemination. If you would like to help us circullating this information, we will promote your logo on the website: godatathon.com pointing to the URL you indicate us. Thanks again!
The fourth edition of the Novartis Datathon Challenge (November 25-28, 2021) will host the best Data Scientists experts in data visualization and prediction problems to solve a Big Data challenge focused on predictive analysis and AI, applied to forecasting and allocation of resources in a large company in the pharmaceutical sector: Novartis.
It will be held from November 25 to 28, 2021 through the Microsoft Teams Platform, just like the last edition.
I hope this email emails finds you well.
I am Noemi Ruiz, from the organization of the 4th edition of the Novartis Datathon Challenge, which this year, as in the previous edition, will be 100% online.
I am contacting you to propose a collaboration agreement for dissemination. If you would like to help us circullating this information, we will promote your logo on the website: godatathon.com pointing to the URL you indicate us. Thanks again!
The fourth edition of the Novartis Datathon Challenge (November 25-28, 2021) will host the best Data Scientists experts in data visualization and prediction problems to solve a Big Data challenge focused on predictive analysis and AI, applied to forecasting and allocation of resources in a large company in the pharmaceutical sector: Novartis.
It will be held from November 25 to 28, 2021 through the Microsoft Teams Platform, just like the last edition.
There will be € 7,000 for the 3 best teams!
1st PRIZE: € 4,000
2nd PRIZE: € 2,000
3rd PRIZE: € 1,000
At the level of PARTICIPANT PROFILE, we are looking for teams of 1 to 4 people made up of:
• Data Scientists with knowledge in data visualization, resource allocation, and prediction problems.
• Have experience in data analysis packages such as Python, scykit learn, Matlab, R, etc.
We have already opened registration: https://godatathon.com/apply-here/
I enclose the invitation in HTML to forward to your contacts, communication department …
One piece on Twitter and one piece on LinkedIn, to echo on social media, which I can adapt if you send me the sizes you need.
We think it would be very interesting to communicate this initiative.
SOCIAL NETWORKS: The hashtag of the datathon is #godatathon. If you want to retweet us we are using the Twitter accounts of @NovartisSpain and Eurecat @Eurecat_news
Please reply to this email to confirm the collaboration.
If you have any question, please do not hesitate to contact me.
Thanks in advance
Organization – THE NOVARTIS DATATHON CHALLENGE
2021_novartis_datathon.htmlProceedings by Springer – A Hybrid Conference ICICT 2022, London, UK
October 27th, 2021 Daniela Lopez de Luise 7th ( Proceedings by Springer ) ICICT 2022 | 21 – 24 February 2022 | London, United Kingdom.
Seventh International Congress on Information and Communication Technology : https://icict.co.uk/
ICICT 2022 will be organised in Hybrid Mode [ 21-21 February 2022 – Physical Mode || 23-24 February 2022 – Digital Mode ].
==========================================================
Regular Submission Important Dates :
– 25 November 2021 : Extended Regular Paper Submission Deadline
Publication : All ICICT 2022 presented papers will be published in conference proceedings by Springer LNNS. ISSN: 2367-3370, Series : https://www.springer.com/series/15179
Indexing : Indexed by SCOPUS, INSPEC, WTI Frankfurt eG, zbMATH, SCImago. All books published in the series are submitted for consideration in Web of Science
PAPERS SUBMISSION : Submissions of high quality papers in all areas of ICT and its applications.The submissions are handled only through the Easychair website at: https://icict.co.uk/call-for-papers.php#section02
Organizing & Associated Partners : Global Knowledge Research Foundation, InterYIT – IFIP, Springer.
Dear Friends and Colleagues,
ICICT 2022 invites various research associates to discuss the current status, technical challenges, of the future services and applications, as part of a rich conference program including Keynote talks, Paper Presentation as well as Regular and Special Sessions.
The Seventh edition of ICT conference will target state-of-the-art as well as emerging topics pertaining to ICT and its Supported e-Agriculture and Rural Development Technologies, e-Education and Computing Technologies, e-Mining and Inclusive Technologies for implementation for Engineering and Managerial Applications through ICT.
The topics of interest include but are not limited to the following :
- Track 1: COMMUNICATIONS
- Track 2: INFRASTRUCTURE AND COMPUTATION
- Track 3: ENGINEERING APPLICATIONS
- Track 4: E-GOVERNANCE AND GOVERNMENT
- Track 5: TECHNOLOGY COMPUTATION
- Track 6: INTELLIGENT SYSTEMS
- Track 7: ELECTRONIC SYSTEMS & CIRCUITS
- Track 8: SIGNAL AND IMAGE PROCESSING
- Track 9: HEALTH INFORMATICS
Authors are kindly invited to submit their formatted full papers including results, tables, figures, and references. All submissions are handled through the Easy Chair at https://icict.co.uk/call-for-papers.php#section02
For any query, Please write mail on support@icict.co.uk or a drop message on https://icict.co.uk/contact. php
Sincerely Yours – Convener ICICT 2022
