ACDL 2022, 5th Online & Onsite Advanced Course on Data Science & Machine Learning | August 22-26, 2022 | Certosa di Pontignano, Italy – Early Registration: by April 23

#ACDL2022, An Interdisciplinary Course: #BigData, #DeepLearning & #ArtificialIntelligence without Borders

(Online attendance available)

Certosa di Pontignano, Castelnuovo Berardenga (Siena) – #Tuscany, Italy
August 22-26
https://acdl2022.icas.cc   acdl@icas.cc

ACDL 2022 (as ACDL 2021 and ACDL 2020): an #OnlineAndOnsiteCourse
https://acdl2022.icas.cc/acdl-2022-as-acdl-2021-and-acdl-2020-an-online-onsite-course/

EARLY REGISTRATION: by April 23
https://acdl2022.icas.cc/registration/

DEADLINES:
Early Registration: by April 23 (AoE)
Oral/Poster Presentation Submission Deadline: April 23 (AoE)
Late Registration: from Thursday April 24
Accommodation Reservation at Reservation at the Certosa di Pontignano: by July 20
Notification of Decision for Oral/Poster Presentation: by Thursday June 23

LECTURERS:
Each Lecturer will hold three/four lessons on a specific topic.
https://acdl2022.icas.cc/lecturers/

Žiga Avsec, DeepMind, London, UK    
Roman Belavkin, Middlesex University London, UK    
Alfredo Canziani, New York University, USA    
Alex Davies, DeepMind, London, UK    
Edith Elkind, University of Oxford, UK  
Marco Gori, University of Siena, Italy    
Danica Kragic Jensfel, Royal Institute of Technology, Sweden    
Yukie Nagai, The University of Tokyo, Japan    
Panos Pardalos, University of Florida, USA    
Silvio Savarese Salesforce & Stanford University, USA  
Mihaela van der Schaar, University of Cambridge, UK

More Keynote Speakers to be announced soon.

PAST LECTURERS:
https://acdl2022.icas.cc/past-lecturers/
 
SCHEDULE:
https://acdl2022.icas.cc/wp-content/uploads/sites/19/2022/01/ACDL-2022-Schedule-Ver1.0.pdf

VENUE:
The venue of ACDL 2022 will be The Certosa di Pontignano — Siena

The Certosa di Pontignano
Località Pontignano, 5 – 53019, Castelnuovo Berardenga (Siena) – Tuscany – Italy
phone: +39-0577-1521104
fax: +39-0577-1521098
info@lacertosadipontignano.com
https://www.lacertosadipontignano.com/en/index.php
Contact person: Dr. Lorenzo Pasquinuzzi

https://acdl2022.icas.cc/venue/

PAST EDITIONS:
https://acdl2022.icas.cc/past-editions/
https://acdl2018.icas.xyz
https://acdl2019.icas.xyz
https://acdl2020.icas.xyz
https://acdl2021.icas.cc

REGISTRATION:
https://acdl2022.icas.cc/registration/

ACDL 2022 POSTER:
https://acdl2022.icas.cc/wp-content/uploads/sites/19/2022/02/poster-ACDL-2022.png

CFP FOR IEEE AIIoT 2022, 6 – 9 JUNE [Double Blind]: Proceedings Will be submitted to IEEE Xplore(R) digital library for publication

2022 IEEE World AI IoT Congress (AIIoT)
 
IEEE AIIoT 2022
Virtual conference
6th – 9th June 2022

Seattle, USA

 

Dear |*FNAME|*,
 
We are pleased to announce the 2022 IEEE 12th World AI IoT Congress (IEEE AIIoT 2022), will be held during 6-9 June 2022. Unlike the previous years, this year due to the COVID-19 pandemic we will be hosting the conference virtually to maintain continuity.  
 
The conference aims to bring together scholars from different backgrounds to emphasize dissemination of ongoing research in the fields of Computing, Electronics and Mobile Communication. Research papers are invited describing original work in above mentioned fields and related technologies. The conference will include a peer-reviewed program of technical sessions.
 
 All accepted papers will be presented virtually during the parallel sessions of the conference and the accepted, presented papers will be submitted for publication at IEEE Xplore® digital library (Scopus, Web of Science, and Google Scholar).  The full list of indexing and discovery services can be found at: 

https://www.ieee.org/content/dam/ieee-org/ieee/web/org/pubs/ieee_indexing_agreements.pdf

IMPORTANT DEADLINES

SITIS 2022 – Signal, Image and Vision Technologies

SITIS 2022 – 16th International Conference on SIGNAL IMAGE TECHNOLOGY & INTERNET BASED SYSTEMS
held in Dijon (France), October 19th – October 21st, 2022

The SITIS conference is dedicated to research on the technologies used to represent, share, and process information in various forms, ranging from signal, image, and multimedia data to traditional structured data and semi structured data found in the web. The track “Signal Image & Vision Technologies” (SIVT) focuses on recent developments in digital signal processing and pays particular attention to evolutions vision, image analysis, pattern analysis and recognition, coding and authentication, and retrieval techniques.

Topics of interest include but are not limited to:

Image Acquisition, Vision
Image Acquisition Devices and Sensors
Device Calibration, Characterization and Modeling 
Image and Video Coding and Compression 
Multimodal and Multi-sensor Models

Image Processing and Analysis
Image filtering, Restoration, Enhancement Image segmentation
Image synthesis
Pattern analysis and recognition 
Shape matching
Learning and classification 
Colour Imaging Multispectral processing
Stereoscopic and 3D processing 
3D Object Extraction
Surface reconstruction
Computational geometry
Machine Learning Technologies for Vision Content-based Indexing, Search, and Retrieval 
Object and Face Recognition
Object detection and Localization 
Optical Flow and Motion Analysis Tracking and Visual Navigation
Robot vision

Signal processing
Theory and Methods
Digital Filters and Filter Banks design
Wavelets and Multirate Signal Processing 
Spectral analysis
Fast algorithms
Real time signal processing 
Signal noise control
Mobile Signal Processing
Nonlinear and Multidimensional Signal Processing

Applications
Archiving
Digital video broadcasting 
Biomedical Imaging
Nuclear Xray, and magnetic resonance imaging
Tomographic imaging
Remote Sensing
Document Image Processing and Analysis 
Astronomy
Geosciences and environment 
Artificial intelligence applications 
Neural networks applications Fuzzy logic applications
Video surveillance and security
Crowd analysis
Biometric authentication and verification
Robotics

Image/Video Coding and Authentication
Coding standards
Image and video over networks 
Error resilience
Video processing and streaming
Image sequence processing and analysis
Watermark Embedding and Detection Reliable Watermark Recovery

Submission and publication
The SIVT track of SITIS 2022 invites submission of high quality and original papers on the topics listed above. All submitted papers will be peer-reviewed by at least two reviewers for technical merit, originality, significance and relevance to track topics. Papers must be up to 8 pages and follow IEEE double columns publication format. Accepted papers will be included in the conference proceedings and published by IEEE Computer Society and referenced in IEEE explore and major indexes.

Journal special issues
Extended version of selected accepted papers will be considered for publication in special issues of relevant journals in the field (please check on the conference website).

Website: http://www.sitis-conference.org/

Important dates: 

  • Paper Submission: July 15, 2022
  • Acceptance/Reject notification: September 9, 2022
  • Camera ready: September 16, 2022
  • Author registration: September 16, 2022

David Fofi
Deputy director | ImViA – Université de Bourgogne
p. +33 3 85 77 00 87  m. +33 6 67 17 89 74
e. david.fofi@ubfc.fr  w. imvia.u-bourgogne.fr
a. 720 avenue de l'Europe, 71200 Le Creusot
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IJCAI-ECAI 2022 – ROBOT EXHIBITION / CALL FOR EXPRESSIONS OF INTEREST

IJCAI-ECAI 2022  –  ROBOT EXHIBITION  /  CALL FOR EXPRESSIONS OF INTEREST 
We are pleased to present the call for expressions of interest in the Robot Exhibition of the 31st International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (July 23-29, 2022, Vienna, Austria). IJCAI-ECAI-22 will be a premier international gathering of researchers in AI, and the Robot Exhibition will run alongside the IJCAI-ECAI-22 combined technical program ( https://ijcai-22.org/ ). 
Robots are a central focus of AI research and development, providing preeminent examples where cognitive skills (e.g., in perception, decision-making, control) are necessary to cope with complex tasks, and both naturalistic and controlled environments. On the one hand, developing intelligent robot systems involves challenging open research questions in AI. On the other hand, established AI methods are gaining increasing interest and applicability in various domains (e.g., industries, services, space) that involve robots alongside humans. 
This exhibition offers a prime space for exhibiting both achieved results and new opportunities for the development and use of AI in Robotics in the real world to a large audience of professional AI researchers from academia and industry. The exhibition seeks to involve both academic and industrial groups interested in the combination of AI and Robotics. The exhibition will thus provide an outstanding opportunity for universities, research organizations, and companies to showcase their research on the world stage. 
We invite expressions of interest for demonstrations of robotic systems, software, and tools that exploit AI methods and technologies, and that would be of interest to the broad AI community. Expressions of interest should include: 
●  A one-page description (in IJCAI format) of: 
  the proposing group/company, 
  the robotic technology to be demonstrated, 
  the relevance of this technology to AI.
●  A video of up to two-minutes demonstrating the system in action; the video should be at most 100MB, in mp4 format. Please include your title and authorship info in the opening of the video. 
Expressions of interest will be evaluated according to the following criteria: 
●  Relevance:  What is the relevance of the shown demonstration to AI?
●  Understandability:  How amenable is the showcase to technical and non-technical audiences?
IMPORTANT DATES
●  Submission of expressions of interest: April 30 2022 
●  Notification of acceptance: May 15 2022 
IJCAI-ECAI 2022 Robot Exhibition Chairs 
●  Mehul Bhatt, Örebro University, Sweden
●  Esra Erdem, Sabanci University, Turkey 
Please, send all enquiries about the Robot Exhibition Track to the track co-chairs via email: robot@ijcai-22.org

ICPR’2022 Explainable AI WS Dead-Line extended

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Jenny Benois-Pineau, 
Professeure en Informatique, 
Chargée de mission aux relations Internationales
Collège Sciences et Technologies, 
Université de Bordeaux
351, crs de la Libération
33405 Talence
France
tel.: +33 (0) 5 40 00 84 24

Jenny Benois-Pineau, PhD, HDR, 
Professor of Computer Science, 
Chair of International relations
School of Sciences and Technologies
University of Bordeaux 

351, crs de la Libération
33405 Talence
tel.: +33 (0) 5 40 00 84 24
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