———————————————— 1st Call for papers for the EvoStar conference
Please distribute (Apologies for cross-posting) ————————————————
EvoStar comprises of four co-located conferences run each spring at different locations throughout Europe. These events arose out of workshops originally developed by EvoNet, the Network of Excellence in Evolutionary Computing, established by the Information Societies Technology Programme of the European Commission, and they represent a continuity of research collaboration stretching back over 20 years.
EvoStar is organised by SPECIES, the Society for the Promotion of Evolutionary Computation in Europe and its Surroundings. This non-profit academic society is committed to promoting evolutionary algorithmic thinking, with the inspiration of parallel algorithms derived from natural processes. It provides a forum for information and exchange.
The four conferences include: – EuroGP 24th European Conference on Genetic Programming www.evostar.org/2021/eurogp/
– EvoApplications 24th European Conference on the Applications of Evolutionary and bio-inspired Computation www.evostar.org/2021/evoapps/
– EvoCOP 21st European Conference on Evolutionary Computation in Combinatorial Optimisation www.evostar.org/2021/evocop/
– EvoMUSART 10th International Conference (and 15th European event) on Evolutionary and Biologically Inspired Music, Sound, Art and Design www.evostar.org/2021/evomusart/
*** Important Dates, Venue and Publication ***
Submission Deadline: November 1, 2019 Conference: 7 to 9 April 2021. Venue: Seville, Spain All accepted papers will be printed in the proceedings published by Springer Verlag in the Lecture Notes in Computer Science (LNCS) series.
Please, check the website for more information: www.evostar.org/2021/
And follow us at: Facebook – www.facebook.com/evostarconf/ Twitter – twitter.com/EvostarConf/ Instagram – www.instagram.com/evostarconference/

DaSSWeb – Data Science and Statistics Webinar
Date: June, 30, 2020, 14h30m
Speaker: Pedro Campos
Title: “New avenues of Data Science in Official Statistics”
Abstract: As a consequence of the COVID-19 outbreak, face-to-face (CAPI and PAPI) data collection methods have been replaced by remote collection methods, such as telephone and web surveys. Administrative data sources, on the other hand, are important resources that National Statistical Offices need to make wider and better use in order to reduce respondent burden, costs, and improve the quality and efficiency across the entire statistical production system. Furthermore, the development of big data and its potential as a third source of data for official statistics poses a range of opportunities, challenges and risks. Eurostat recently identified smart statistics as the future role of official statistics in a world impregnated with smart technologies. Trusted Smart Statistics are, therefore, the natural evolution of official statistics in the new datafied world. In this seminar, we will explore these (and other) new avenues of official statistics, focusing on how data science copes with these new challenges. Special focus will be given to ethical issues, privacy preserving, coverage and selectivity, small area estimation, geospatial information and machine learning models.
Short Bio: Pedro Campos is currently Director of Methodology in Statistics Portugal and Assistant Professor at the Faculty of Economics, University of Porto, where he got his Phd in Business Studies. He is also researcher at INESC TEC, where he leads the line of Agent-Based Modelling at LIAAD (Laboratory of Artificial Intelligence and Decision Support). Pedro is Vice-President of IASE (the International Association for Statistical Education) and Deputy Director of the International Statistical Literacy Project of the ISI.
ZOOM link :
videoconf-colibri.zoom.us/j/98961206889

DaSSWeb_Pedro_Campos.pdf

Our apologies if you receive multiple copies of this CFP
******************* The 21st International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2020) 4-6 november, Guimarães, Portugal islab.di.uminho.pt/ideal2020
Extended Submission Deadline – 30 June 2020
******************* Call for papers ******************* COVID-19: It is in the interest of the organisers to hold IDEAL 2020 as a regular physical conference, to facilitate maximum academic interactions and impact. So, we hope it will be possible in November. However, the Organizing Committee is constantly monitoring the situation of COVID-19, both in Portugal and in the world, and will consider the possibility of changing the conference to virtual, if the situation is still a health threat or a second outbreak.
The International Conference on Intelligent Data Engineering and Automated Learning (IDEAL) is an annual international conference dedicated to emerging and challenging topics in intelligent data analytics and associated learning systems and paradigms. After the hugely successful IDEAL 2018 in Madrid and its 20th edition in Manchester, IDEAL 2020 is going to Guimarães the birthplace of Portugal. Its main themes or topics include, but not limited to:
– Big Data Analytics – Machine Learning & Deep Learning – Data Mining – Information Retrieval and Management – Bio- and Neuro-Informatics – Bio-Inspired Models – Agents and Hybrid Intelligent Systems – Real-world Applications of Intelligent Techniques
******************* Special Sessions *******************
We are pleased to announce several Special Sessions lined up, which you can submit papers to, in addition to the main IDEAL 2020 track:
Special Session 1: Data Generation and Data Pre-processing in Machine Learning Special Session 2: Optimization and Machine Learning for Industry 4.0 Special Session 3: Practical Applications of Deep Learning Special Session 4: New trends and challenges on Social Networks Analysis Special Session 5: Machine Learning in Automatic Control Special Session 6: Emerging Trends in Machine Learning Special Session 7: Machine Learning, Law and Legal Industry Special Session 8: Data Recovery Approach to Clustering and Interpretability Special Session 9: Automated learning for industrial applications Special Session 10: Machine learning towards smarter multimodal systems
******************* Workshops *******************
We are pleased to announce two workshops lined up, which you can submit papers to, in addition to the main IDEAL 2020 track:
Workshop 1: Workshop on Machine Learning in Smart Mobility Workshop 2: 3rd Workshop on Methods for Interpretation of Industrial Event Logs
******************* Paper Submission ******************* Authors are invited to submit their manuscripts (in pdf format) written in English by the deadline via the Easychair online submission system (easychair.org/conferences/?conf=ideal2020). Papers should be within 8 pages but must not exceed 12 pages and must comply with the format of Springer LNCS/LNAI Proceedings (see www.springer.com/lncs ). All accepted papers will be included in the conference proceedings, to be published by Springer in the LNCS series, indexed by EI.
******************* Important dates ******************* Submission Deadline 30 June 2020
Notification of Acceptance 10 July 2020
Camera-Ready Copy Due 31 July 2020
Early Registration 31 July 2020
Conference Presentation 4-6 Nov. 2020
******************* Keynote Speakers *******************
João Gama University of Porto (Portugal)
Paulo Lisboa Liverpool John Moores University (UK) Head of the Engineering and Technology Research Institute
George Baciu Hong Kong Polytechnic University (CH)
******************* Special Issues *******************
Authors of selected papers from IDEAL 2020 will be invited to submit an extended and improved version to a special issue in different journals. – Neural Computing and Applications (JCR 2018: 4.664). – Ambient Intelligence and Humanized Computing (JCR 2018: 1.91). – Expert Systems (JCR 2018: 1.505).
******************* Best Paper Awards *******************
A Best Paper and a Best Paper Application Awards will be given based on several aspects such as originality, development, demonstration/presentation, and application.
******************* Organizing Committee *******************
Honorary chair – Hujun Yin, University of Manchester, UK
General chairs – Paulo Novais, Universidade do Minho, Portugal – Cesar Analide, Universidade do Minho, Portugal – David Camacho, Universidad Politécnica de Madrid, Spain
Program chairs – Cesar Analide, Universidade do Minho, Portugal – David Camacho, Universidad Politécnica de Madrid, Spain – Hujun Yin, University of Manchester, UK – Paulo Novais, Universidade do Minho, Portugal
Special Session/ Workshop chairs – Susana Nascimento, Universidade Nova de Lisboa, Portugal – Antonio J. Tallón-Ballesteros, University of Seville, Spain
******************* Contact ******************* For all general information concerning IDEAL 2020, contact: ideal2020.guimaraes@gmail.com

Workshop on BIG DATA & DEEP LEARNING in HIGH PERFORMANCE COMPUTING (BDL2020) (sbac2020.dcc.fc.up.pt/bdl2020/)
in conjunction with the IEEE 32nd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD 2020) (sbac2020.dcc.fc.up.pt/)
September 9, 2020, Porto, Portugal
BDL2020 will be held online (synchronous and/or asynchronous)
———————————— KEY DATES ————————————
Deadline for paper submission: ***June 28, 2020***
Author notification: July 22, 2020
Camera-ready version of papers: July 25, 2020

Carlos Ferreira
ISEP | Instituto Superior de Engenharia do Porto Rua Dr. António Bernardino de Almeida, 431 4249-015 Porto – PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail@isep.ipp.pt | www.isep.ipp.pt