We invite you to the Scopus conference on computer and energy sciences WFCES 2022

Almaty University of Energy and Communications (AUES) and the Institute of Digital Economics and Law invite you to participate in the III International Scientific Forum on Computer and Energy Sciences (WFCES 2022). The forum will be held on May 20-21, 2022 online on the Zoom platform.

Materials based on the results of the conference will be published by AIP Publishing in the journal AIP Conference proceedings (ISSN: 1551-7616) and sent for indexing to the scientometric databases Scopus and Web of Science.

WFCES 2021 is already indexed in Scopus scientometric database !

Forum site – https://ide-rus.ru/wfces2022/eng

Call for papers: Applied Mathematics and Statistics Big Data and Data Mining Computing and Applications, Mathematics Engineering and Environmental Protection Engineering Project Management Fuzzy Systems, Smart Grids, Machine Learning Gender and Information Technology Geology Achievements and Healthcare Technologies Renewable Energy Sources Signal Processing , web technologies Smart cities, robotics Applications for solar energy.

Registration fee: 200 $/

Submission of articles: until May 15, 2022

find more details about the conditions of participation in the conference on the website – https://ide-rus.ru/wfces2022/eng

We look forward to fruitful cooperation. Representatives of the organizing committee will be happy to answer all your questions.

 

Call for competition participation – IJCB 2022 – Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data

IJCB-SYN-MAD-2022

 

Competition website: https://sites.google.com/view/ijcb-syn-mad-2022

 

IJCB2022 website: https://ijcb2022.org/

Call for papers – The 20th IEEE International Conference on Pervasive Intelligence and Computing


=====================CALL FOR PAPERS=============================  IEEE PICom 2022 - The 20th IEEE International Conference on Pervasive Intelligence and Computing http://cyber-science.org/2022/picom/  joint conference IEEE DASC/PICom/CBDCom/CyberSciTech 2022 September 12 - 15, 2022 Calabria, Italy
 =====================IMPORTANT DATES=============================  Workshop/SS Proposal Due:			15 Mar 2022 Workshop/SS Proposal Notification:	01 Apr 2022 Paper Submission:					01 Jun 2022 Acceptance Notification:			        01 Jul 2022 Camera-ready Submission:			15 Jul 2022
 =====================INTRODUCTION=============================  Over the last fifty years, computational intelligence has evolved from artificial intelligence, nature-inspired computing, and social-oriented technology to cyber-physical integrated ubiquitous intelligence towards Pervasive Intelligence (PI). The IEEE International Conference on Pervasive Intelligence and Computing is intended to cover all kinds of these intelligent paradigms as well as their applications in various pervasive computing domains. PICom 2022 is the conference on Pervasive Intelligence and Computing, previously held as PCC (Las Vegas, USA, 2003 and 2004), PSC (Las Vegas, USA, 2005), PCAC (Vienna, Austria, 2006, and Niagara Falls, Canada, 2007), IPC-2007 (Jeju, Korea, December 2007), IPC-2008 (Sydney, Australia, December 2008), and since 2009 as the name PICom. It aims to bring together computer scientists and engineers, to discuss and exchange experimental and theoretical results, work-in-progress, novel designs, and test-environments or testbeds in the important areas of Pervasive Intelligence and Computing. 
 =====================TRACKS AND TOPICS=============================  - Track 1: Computational Intelligence (Track Chair: Wei Li, The University of Sydney, Australia) - Track 2: Intelligent Networks, Middleware and Applications (Track Chair: Xiuwen Fu, Shanghai Maritime University, China) - Track 3: Pervasive Computing and Activity/Affect Recognition (Track Chair: Franco Cicirelli, ICAR-CNR, Italy) - Track 4: Smart Object, Environment, System and City (Track Chair: Andrea Vinci, ICAR-CNR, Italy)
 Topics of interest include, but are not restricted to:
* Deep Learning and Deep Computation * Big Data and Smart Data * Brain-inspired Computing * Crowdsourcing and Social Computing * Collective Intelligence * Agent-based Computing * Ubiquitous Intelligence * Cyber-Physical Computing * The Internet of Things * Cloud of Things and Cloud of Sensors * Embedded HW, SW and Systems * Pervasive Devices and RFIDs * Wearable Devices and Applications * Sensor Technology and Networks * Pervasive Networks/Communications * Edge and Fog Computing * Mobile Edge Computing (MEC) * Device Virtualization * Privacy, Security and Trust * Context-Aware Computing * Mobile Data Mining * Ubiquitous Data Mining * Activity Recognition * Intelligent Cloud Computing * Services for Pervasive Computing * Smart Cities and Smart Homes * Intelligent Social Networking * Pervasive Technologies for ITS * HCI for Pervasive Computing * Mobile Data Modeling * Middleware for Pervasive Computing * Intelligent/Smart IoT * Programming Abstractions for IoT * Semantic Analysis
 =====================SUBMISSION INSTRUCTION=============================  Authors are invited to submit their original research work that has not previously been submitted  or published in any other venue. Regular, work-in-progress (WiP), workshop/special session, and poster papers need to be submitted via Easychair (https://easychair.org/conferences/?conf=dascpicomcbdcomcyber). Papers should be prepared in IEEE CS Proceedings format. IEEE formatting information:  http://www.ieee.org/conferences_events/conferences/publishing/templates.html All accepted papers in the main tracks, workshops, special sessions and demos/posters will be  published in an IEEE Computer Society proceedings (IEEE-DL and EI indexed). Best Paper Awards will be presented to high quality papers. Selected papers will be recommended to prestigious journal Special Issues. Some papers originally submitted as full papers can be accepted as short papers or posters during the review process. In such cases, the authors will need to reduce the paper accordingly when preparing the camera-ready version. At least one of the authors of any accepted paper is requested to register and present the paper at the conference. Regular Tracks: 6-8 pages WiP/Workshop/Special Session Tracks: 4-6 pages Poster Track: 2-4 pages
 =====================ORGANISING COMMITTEE=============================  -Honorary Chairs- Albert Zomaya, The University of Sydney (Australia)
-General Chair- Flavia C. Delicato, Fluminense Federal University (Brazil)
-General co-Chair- Pietro Manzoni, UPV (Spain)
-Program Chair- Antonio Guerrieri, ICAR-CNR (Italy)
-Program Co-chairs- Paulo Pires, UFRJ (Brazil) Giuseppe M. L. Sarnè, University of Milan-Bicocca, (Italy) Marco Levorato, University of California, Irvine (USA) Deepak Puthal, Newcastle University (UK)
-Workshop & Special Session Chairs- Claudio Miceli de Farias, Federal University of Rio de Janeiro (Brazil) Vasilis Friderikos, King's College London (UK)
-Publicity Chairs- Celimuge Wu, The University of Electro-Communications (Japan) Tu Nguyen. Kennesaw State University (USA) Diego Méndez Chaves, Pontificia Universidad Javeriana (Colombia)
-Steering Committee- Jianhua Ma, Hosei University (Japan) Laurence T. Yang, St. Francis Xavier Univ. (Canada) Adnan Al-Anbuky, Auckland U Tech. (New Zealand) Flavia C. Delicato, Fluminense Federal University (Brazil)

Special session on imprecise probabilities at SMPS 2022: submission deadline extension

Call for papers – submission deadline extension

Special Session on
“THEORETICAL AND APPLIED ASPECTS OF IMPRECISE PROBABILITIES”
to be held at the
10th International Conference on Soft Methods in Probability and Statistics (SMPS 2022)
http://smps2022.uva.es
Valladolid (Spain), September 14-16, 2022

Session topic and goal
This session is devoted to Imprecise Probability Theory. This theory involves all the mathematical models that can be used as more flexible tools than usual Probability Theory when the available information is scarce, vague or incomplete. It includes lower previsions, n-monotone capacities, belief functions, possibility measures, or non-additive measures, among others. This special session aims to include papers related to Imprecise Probabilities that either present a significant advance in the foundations or show potential applications in real problems. In addition, papers where the connection between imprecise probability theory and other fields such as fuzzy sets or game theory is emphasised are also welcome.
Theoretical topics of interest include (but are not limited to):

  • (coherent) uncertainty models
  • non-additive set functions
  • choice functions
  • sets of desirable gambles
  • qualitative reasoning about uncertainty
  • limit laws for imprecise probabilities
  • philosophical foundations
  • elicitation and inference
  • robust statistics
  • decision making
  • algorithmic issues

Applications include (but are not limited to):

  • data mining
  • classification and machine learning
  • risk and reliability analysis
  • finance
  • life sciences
  • system control and design

Dates
Extended paper submission deadline: April 20, 2022
Author notification: April 30, 2022
Camera-ready copy due: May 15, 2022
Conference: September 14-16, 2022
Since the Easychair submission site will not offer one track for this special session, please send us a message with the information on your paper if you want it to be included in this session.

Organizers
We would be obliged if you would let us know in case you intend to submit a paper to this session, at your earliest convenience. Any questions or remarks can be addressed to:
Enrique Miranda (mirandaenrique@uniovi.es), University of Oviedo (Spain)
Arthur Van Camp (arthur.vancamp@bristol.ac.uk), University of Bristol (United Kingdom)

 

Scarce Data in Artificial Intelligence for Healthcare (SDAIH) Workshop @ IJCAI–ECAI 2022

Introduction
============
AI has the potential to generate a revolution in the field of healthcare by enabling accurate, fast and reliable analyses of data at an unprecedented scale
both in the clinics and in the industry. Leveraged properly, AI can thus allow to better meet patient needs by developing new medical devices, drugs, and
personalized treatments while simultaneously freeing up time for clinical staff to nourish the profound human connection between caregivers and patients.
Moreover, AI promises to democratize the healthcare system by spreading basic services to low-income or remote areas through telemedicine.

Notwithstanding the terrific progress achieved in the last two decades, many AI projects related to medicine struggle to make their way to deployment and
sustainable productivity because of the limited availability of high-quality annotated data. The scarcity of useful information is often exacerbated in
medicine, medical engineering, and healthcare in general because labelling requires highly-specialized staff, patient privacy must be respected, ethnic
differences and rare diseases adequately represented. Despite the incredible advances of the last few years in facilitating data collection and annotation,
learning representations, and detecting different types of bias, basic observations on implications for practitioners are often lacking, new ingenious
ideas are flourishing, and recommendations for healthcare are far from established.

Topics of interest include:

# Publication of datasets relevant to healthcare, including text, images, audio and structured data.
# Hardware and software tools for enabling data acquisition in low-resource or restricted environments, such as federated annotations and pseudonymization techniques.
# Tools to produce or evaluate high-quality clinical annotations and consensus diagnoses.
# Critical analysis of iterative procedures to clean up or refine annotations, as well as guidelines to assess the uncertainty on metric scores.
# Anonymization methods for intra- and inter-institutional data exchange.
# Technical solutions to work in the presence of legal concerns, for instance, federated learning and i2b2.
# Works on learning representations or transfer learning, focusing on improving model generalization across different patient cohorts, data acquisition conditions, medical expert evaluations, etc.
# Studies that compare or combine learning from nature with learning from human experts.
# Works on unsupervised, self-supervised, semi-supervised, or few-shot learning aimed, e.g. at reducing the need for annotations by specialists.
# Methods to deal with strongly imbalanced datasets such as those including rare diseases or very small pathological features in medical image collections.
# Strategies to handle scarcity of subsets in large datasets, i.e. “filling the gaps”.
# Works on using public or artificially-generated datasets to improve the performance of machine-learning models in healthcare or to mitigate (patient) privacy issues.
# Case studies linked to the practical deployment of AI in a clinical setting or in medical devices with limited data, as well as to the construction of pipelines or databases for addressing data scarcity.
# Insightful, original analyses of reasons for the failure of AI projects in healthcare and work-in-progress reports of efforts related to the themes listed above.

We welcome the submission of original research reports on the workshop's topics of interest. The maximum length of papers is fixed to 6 pages, including references. We especially encourage the contribution of case studies, work in progress, position papers, and critical analyses of failed projects.

Important Dates
===============
Paper submission deadline: May 13, 2022
Decision notification: June 3, 2022
Camera-ready submission: June 17, 2022

Organizers
==========
Workshop Organizers:
# Simone Lionetti, Lucerne University of Applied Sciences and Arts
# Marc Pouly, Lucerne University of Applied Sciences and Arts
# Alexander Navarini, University of Basel
# Philipp Tschandl, Medical University of Vienna

Program Committee:
# Catarina Barata, University of Lisbon
# Tim vor der Brück, Lucerne University of Applied Sciences and Arts
# Nicolas Deutschmann, IBM Research
# Koustav Ghosal, Accenture
# Matthew Groh, MIT Media Lab
# Fabian Ille, Lucerne University of Applied Sciences and Arts
# Thomas Koller, Lucerne University of Applied Sciences and Arts
# Toni Mancini, “Sapienza” Università di Roma
# Federico Mari, “Foro Italico” Università di Roma
# David Monaghan, Trinity College Dublin
# Javier Montoya, Zurich University of Applied Sciences
# Elif Ozkirimli, Roche
# Marianna Rapsomaniki, IBM Research
# Christoph Rinner, Medical University of Vienna
# Veronica Rotemberg, Memorial Sloan Kettering Cancer Center
# Robin Sandkühler, University of Basel
# Frank-Peter Schilling, Zurich University of Applied Sciences
# Philipp Schütz, Lucerne University of Applied Sciences and Arts
# Andreas Streich, Lucerne University of Applied Sciences and Arts

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