Dear colleagues,
We would like to invite you to submit a paper to the “Workshop on Artificial Intelligence for Education (AI4Ed)” to be held in Salamanca, between 6 and 8 October 2021 (https://www.mis4tel-conference.net/tracks/workshops/ai4ed).
Important Deadlines:
Deadline for full paper submission: 14 th May, 2021
Notification of acceptance: 7th June, 2021
Camera-Ready papers: 28th June, 2021
Conference: 6-8 October 2021
Submissions:
Submissions:
All proposed papers must be submitted in electronic form (PDF format) using the PAAMS conference management system.
Scope:
Of all the areas of life where artificial intelligence will have an impact, the biggest might well be education. This is because learning is so important, and because current provision often leaves a lot to be desired.
The objective of the I Workshop on Artificial Intelligence for Education is an opportunity for researchers to provide further insight into the problems solved at this stage, advantages and disadvantages of the various approaches used, lessons learned, and meaningful contributions to enhance applications for education. In this sense, the first workshop on Artificial Intelligence for Education (AI4Ed) will provide a forum for the presentation and discussion of novel research ideas or actual deployments focused on the development of advanced applications applying to Education.
Topics:
The topics of interest for this special session include, but are not limited to:
• Intelligent Adaptive Learning Environment
• Affective Computing in Education
• Artificial Intelligence algorithms in Education
• Artificial Neural Networks in Education
• Human-Computer Interaction in Teaching System
• Artificial Intelligence in Student Evaluation
• Assessing Student Performance using Artificial Intelligence
• Educational Robotics
• Data Mining, Text Mining and Web Mining in Education
• Intelligent Agent-based Learning Environments
• Smart Chatbots in Education
• Intelligent Tutoring Systems
• Virtual reality and Augmented Reality based Learning Systems
• Pedagogical Artificial AgentsThematic Workshop Organizers
Dalila Durães (University of Minho, Portugal)
Francisco Hinojo-Lucena (University of Granada)
Francisco Marcondes (University of Minho, Braga, Portugal)
Paulo Novais (University of Minho, Braga, Portugal)
[rede.APPIA] Workshop on Deep Learning Applications (DeLA)
Dear colleagues,
We would like to invite you to submit a paper to the “Workshop on Deep Learning Applications (DeLA)” to be held in Salamanca, between 6 and 8 October 2021 (https://www .paams.net/workshops/dela).
Important Deadlines:
Deadline for full paper submission: 124 th May, 2021
Notification of acceptance: 7th June, 2021
Camera-Ready papers: 28th June, 2021
Conference: 6-8 October 2021
Submissions:
Submissions:
All proposed papers must be submitted in electronic form (PDF format) using the PAAMS conference management system.
Scope:
The objective of the workshop on Deep Learning Applications is an opportunity for researchers to provide further insight into the problems solved at this stage, advantages and disadvantages of the various approaches used, lessons learned, and meaningful contributions to enhance applications based on deep learning. In this sense, the first workshop on Deep Learning Applications (DeLA) will provide a forum for the presentation and discussion of novel research ideas or actual deployments focused on the development of advanced applications based on Deep Learning.
Topics:
The topics of interest for this special session include, but are not limited to:
- Chatbots
- Natural Language Processing (NLP);
- Computer Vision;
- Sentiment Analysis;
- Speech Recognition;
- Autonomous Vehicles;
- Robotics;
- Image Detection and Object Classification;
- Deep Learning Business Applications;
- Healthcare
- Entertainment
- Composing Music
- Pattern Recognition.
- Action Recognition
- Virtual Assistants
- Facial Recognition Systems
- Fraud Detection
- Forecasting Solutions
- eXplainable Artificial Intelligence (XAI)
Thematic Workshop Organizers
- Dalila Durães, University of Minho (Portugal)
- Cleber Zanchetin, Northwestern University (EUA)
- Leonardo Matos, Federal University of Sergipe (Brazil)
- Flávio Santos, University of Minho, Braga (Portugal)
[rede.APPIA] 22nd European Agent Systems Summer School (EASSS 2021) — Call for Applications
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CALL FOR APPLICATIONS
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EASSS 2021
22nd European Agent Systems Summer School
July 19-23, 2021
– online event –
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We invite researchers and practitioners from academia and industry, namely Ph.D. / M.Sc. students and post-doctoral researchers interested in Agents and Multi-Agent Systems, to attend the 22nd European Agent Systems Summer School (EASSS 2021).
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Important Dates
Application deadline: May 31, 2021
Acceptance decision: June 8, 2021
Registration deadline: June 30, 2021
EASSS 2021: July 19-23, 2021
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About EASSS 2021
The 22nd European Agent Systems Summer School (EASSS 2021) is organized by the Artificial Intelligence and Computer Science Lab of the University of Porto (LIACC), and held online, on July 19-23, 2021. EASSS 2021 is organized under the auspices of the European Association for Multi-Agent Systems (EURAMAS) and the Portuguese Association for Artificial Intelligence (APPIA), as an Advanced School on Artificial Intelligence.
The main goal of EASSS is to provide an exchange of knowledge among individuals and groups interested in various aspects of autonomous, agent-based and multi-agent systems research and practice. This dissemination is provided by formal state-of-the-art courses conducted by leading experts in the field and by informal meetings during the event. The school attracts both beginner and experienced researchers, encouraging cooperation between representatives of many branches of the Multi-Agent Systems research community.
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Program
The school will be composed of the following tutorials:
A Machine Learning perspective of Agent-Based Models with R and Python
– Pedro Campos (University of Porto and LIAAD INESC-TEC, Portugal) and Joaquim Sousa (Microdigital, Portugal)
Computation of Nash Equilibria: Algorithms and Complexity
– Argyrios Deligkas (Royal Holloway University of London, UK)
Statecharts use in Agent Technology
– Nikolaos Spanoudakis (Technical University of Crete, Greece)
Logic-based specification and verification of strategic abilities in multi-agent systems
– Valentin Goranko (Stockholm University, Sweden)
Formal argumentation
– Bruno Yun (University of Aberdeen, UK)
Auctions, Markets, and Automated Mechanism Design: Learning and Building Incentives for Multi-Agent Systems in the Presence of Scarcity
– Aris Filos-Ratsikas (University of Liverpool, UK) and Paul Tylkin (Harvard University, USA)
Fair Allocation of Indivisible Goods (EurAI Talk)
– Nicolas Maudet (LIP6, Sorbonne Université, Paris, France)
Accountability and Multiagent Organizations: from Concepts to Software Engineering
– Matteo Baldoni, Cristina Baroglio and Roberto Micalizio (Università degli Studi di Torino, Italy)
Constrained Optimisation for Multi-Agent Systems
– Filippo Bistaffa (IIIA-CSIC, Spain)
Multi-Agent Reinforcement Learning: Fundamental Problems & Solutions
– Michael Kaisers (Centrum Wiskunde & Informatica, The Netherlands) and Frans Oliehoek (TU Delft, The Netherlands)
Reinforcement Learning Algorithms for Continuous Control
– Abbas Abdolmaleki (DeepMind, London, UK)
Planning for SuperHuman Autonomous Vehicles
– Zlatan Ajanovic (Virtual Vehicle Research Center, Graz, Austria)
Affective Computing – from theoretical models to applications for Human-Agent Interaction
– João Dias (INESC-ID and University of Algarve, Portugal)
Agents Enabling Cooperative Intelligent Transportation Systems (C-ITS) and Mobility Paradigms
– Rosaldo Rossetti (FEUP, Portugal), Zafeiris Kokkinogenis (CEiiA, Portugal) and Pedro d’Orey (FEUP, Portugal)
Cyber-physical multi-agent systems
– Tiago Pinto, Zita Vale, Gabriel Santos, Luis Gomes (GECAD, School of Engineering, Polytechnic of Porto, Portugal) and Phuong Nguyen (Technical University of Eindhoven, The Netherlands)
The complete provisional program can be found online, at
https://www.fe.up.pt/easss2021/program/
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Application and Registration
Applications should be made until May 31, using the following form:
https://forms.gle/FmTyp3WQjWgv3PqH7
Candidates will be notified of the decision until June 8, 2021, and will receive instructions on how to register. Given the online nature of the school, there will be no registration fees.
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EASSS 2021 Committees
Scientific Committee
Ana Paiva, Instituto Superior Técnico, Portugal
Ann Nowé, Vrije Universiteit Brussel, Belgium
Carles Sierra, IIIA, Spain
Mario Paolucci, ISTC-CNR, Italy
Organizing Committee
Henrique Lopes Cardoso, LIACC / Universidade do Porto, Portugal
Luís Paulo Reis, LIACC / Universidade do Porto, Portugal
Thiago Reis, LIACC / Universidade do Porto, Portugal
[rede.APPIA] Call for algorithms: Competition IEEE PES GM, CEC and GECCO 2021 Evolutionary Computation in the Energy Domain: Smart Grid Applications – Prizes by IEEE CIS
*** sorry for multiple copies of this mail, please forward this message to potential participants***
*** update: competition included in IEEE PES GM 2021 activities ***
Dear Colleagues,
Following the success of the previous editions (CEC, GECCO, WCCI), we are launching a more challenging competition at major conferences in the field of computational intelligence. This IEEE PES GM 2021, IEEE CEC 2021 & GECCO 2021 competition proposes two tracks in the energy domain:
Track 1) Bi-level optimization of bidding strategies in local energy markets (LEM). This track is constructed under the same framework of the past competitions (therefore, former competitors can adapt their algorithms to this new track), representing a complex bi-level problem in which competitive agents in the upper-level try to maximize their profits, modifying and depending on the price determined in the lower-level problem (i.e., the clearing price in the LEM), thus resulting in a strong interdependence of their decisions.
Track 2) Flexibility management of home appliances to support DSO requests. A model for aggregators flexibility provision in distribution networks that takes advantage of load flexibility resources allowing the re-schedule of shifting/real-time home-appliances to provision a request from a distribution system operator (DSO) is proposed. The problem can be modeled as a Mixed-Integer Non-Linear Programming (MINLP) in which the aggregator strives to match a flexibility request from the DSO/BRP, paying remuneration to the households participating in the DR program according to their preferences and the modification of their baseline profile.
Guidelines, rules, and a full description is available in website: http://www.gecad.isep.ipp.pt/ERM-competitions under menus “Competitions” -> “2021”
Important Remarks
· Notice that submission of papers or assistance to PES GM, CEC, or GECCO by competition participants is not mandatory
· You are welcome to submit short descriptions of your algorithms and results as 2-page papers to be included in the GECCO Companion. This is voluntary — Submission deadline is April 12, 2021 – https://gecco-2021.sigevo.org/Call-for-Competition-Entries
Important Dates:
Submit your results by May 31, 2021, 23:59 (GMT).
IEEE CIS PRIZE:
We are glad to announce that our competition will offer a IEEE Computational Intelligence Society (CIS) prize of 1000 $ (500 $ for the winner of each track). Good luck and stay tuned. Thanks!
Competition Organizers:
Fernando Lezama, GECAD, Polytechnic of Porto (flz@isep.ipp.pt)
Joao Soares, GECAD, Polytechnic of Porto (jan@isep.ipp.pt)
Bruno Canizes, GECAD, Polytechnic of Porto (bmc@isep.ipp.pt)
Zita Vale, Polytechnic of Porto (zav@isep.ipp.pt)
Ruben Romero, UNESP Ilha Solteira (ruben.romero@unesp.br)
Support:
Activity of IEEE CIS Task Force 3 on Computational Intelligence in the Energy Domain with the support of IEEE CIS (prize)
IEEE PES Working Group on Modern Heuristic Optimization (WGMHO) and Intelligent Systems Subcommittee (ISS),
part of IEEE PES TC Analytic Methods for Power Systems (AMPS)
Best regards / Melhores cumprimentos
Open special issues:
Energies, Advances in Artificial Intelligence Applications
Some selected publications:
Ensemble learning for electricity consumption forecasting in office buildings, Neurocomputing
[rede.APPIA] Call for participation: IEEE PES Task Force on Open Data Sets Competition on building energy consumption forecasting
Dear colleagues,
The IEEE Power & Energy Society Task Force on Open Data Sets is glad to announce the call for participation in the Competition on building energy consumption forecasting
Competition Outline and Important Dates
The competition will be held during a full business week (14-18 June 2021). Each day of this week participants will be asked to provide their consumption forecasts for the following day
A Full Year of historical data is already available to enable participants starting building and refining the forecasting models. Please check the competition website for details and register to have access the first data set: http://www.gecad.isep.ipp.pt/smartgridcompetitions/
Authors of methods that present the best results in this competition will be invited as panelists in the Panel:
Performance evaluation of artificial intelligence methods for energy consumption forecasting using open data sets
To take place at the 2021 IEEE Power & Energy Society General Meeting – 25-29 July 2021 (Virtual Event)
Please contact the organizers for any queries.
Organizers:
Zita Vale, Polytechnic of Porto, Portugal (zav@isep.ipp.pt)
Hiroyuki Mori, Meiji University, Japan (hmori@meiji.ac.jp)
Tiago Pinto, Polytechnic of Porto, Portugal (tcp@isep.ipp.pt)
Luis Gomes, Polytechnic of Porto, Portugal (log@isep.ipp.pt)
Task Force on Open Data Sets
Working group on Intelligent Data Mining and Analysis
Intelligent Systems Subcommittee
IEEE Power & Energy Systems Society
Best regards / Melhores cumprimentos
Open special issues:
Energies, Advances in Artificial Intelligence Applications
Some selected publications:
Ensemble learning for electricity consumption forecasting in office buildings, Neurocomputing
[rede.APPIA] DaSSWeb – Data Science and Statistics Webinar – 27 April – Jorge Silva
DaSSWeb – Data Science and Statistics Webinar
Tuesday, 27 April, 14:30
Speaker: Jorge Silva University of Porto
Title: Bibliometrics: studying the present to make the best decisions for the future
Zoom link: videoconf-colibri.zoom.us/j/83875914782
Abstract: For several years bibliometrics have been used to help researchers understanding science and aid with decision making processes that pave the way for future research (e.g. funding allocation). Due to the exponential growth in research in recent years, bibliometric tools have become even more important and there is an increasing necessity for these tools to couple with large scale databases. In this talk, I will focus on three bibliometrics problems: publication similarity, author profiling and author ranking. Publication similarity is the task of measuring how similar two publications are. Author profiling is the problem of categorizing the knowledge of researchers. Author ranking is the task of estimating the scientific impact of researchers. For each one of these problems I will discuss their applications, research challenges, current state of the art and present our line of work. In more detail, I will discuss how complex networks (structures that are widely used to model and study complex systems) offer a unique way to study relations and patterns in bibliographic data and how this information can be used to improve bibliometric studies in the three mentioned problems.
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