Category: [rede.APPIA]

A [rede.APPIA] é a lista de distribuição de correio electrónico da APPIA, com o objectivo de divulgar notícias de interesse para a comunidade científica da Inteligência Artificial, disponível através do endereço rede [at] appia [ponto] pt.

[rede.APPIA] [Call for Papers] AIM@EPIA 2022 – Artificial Intelligence in Medicine

Carlos Filipe da Silva Portela
(apologies for cross-posting)
====================================================================== CFP: Artificial Intelligence in Medicine (AIM@EPIA-2022) Thematic track of the 21st Portuguese Conference on Artificial Intelligence (EPIA 2022) August 31-September 2, 2022, Lisbon, Portugal. Webpage: epia2022.inesc-id.pt/ ======================================================================
IMPORTANT DATES Paper submission: April 15, 2022 Notification of paper acceptance: May 31, 2022 Camera-ready papers deadline: June 15, 2022 Conference dates: August 31-September 2, 2022
IMPORTANT NEWS – LNCS/LNAI Proceedings (springer) – Special issue at the Journal of Medical Systems with selected papers*
INTRODUCTION Everyday medicine is facing new challenges: new diseases, cost reductions, new therapeutics, rapid and accurate decisions, new techniques and technologies. Artificial Intelligence (AI) is playing an important role in the decision making process, in the way the data of the patients are collected, treated, processed, anticipating and avoiding critical situations, as well to test and simulate new treatments and devices. The big question to be answered is: How Artificial Intelligence can help to overcome these challenges and improve the efficiency of medicine? Data Science, Sensing, Pervasiveness, Ubiquity and Intelligent Agents in Medicine, can contribute with new artifacts and new knowledge for health professionals. AI aims to improve the usability of programs for assisting physicians in figuring out what is wrong with the patients and provide new solutions to help making better decisions. AI systems are intended to support healthcare practitioners in the normal course of their duties, assisting with tasks that rely on the manipulation of data and knowledge. In particular, these systems have for example the capacity to learn, leading to the discovery of new phenomena and the creation of medical knowledge improving human health and longevity. This track promotes a forum to discuss and present emergent topics, new projects and ideas about how AI can contribute to the field of Medicine and, improve patient conditions. By bringing together researchers from two distinct areas is expected to produce new scientific and technical knowledge in a particular area as is medicine. Special attention will be given to the social impact/gain of the AI contributions in medicine.
TOPICS OF INTEREST Innovative and exciting works are welcome in areas including but not limited to:
Medical methodologies, architectures, environments and systems. • Agents for information retrieval; • AI in Medical Education and Clinical Management; • Wellbeing and lifestyle support; • Interoperability, Security, Pervasiveness, Ubiquity and Cloud Computing in Medicine; • Methodological, philosophical, ethical, and social issues of AI in Medicine; • Pervasive Healthcare Environments; • Software architectures. Knowledge Engineering and Decision Support Systems: • AI-based clinical decision making and Clinical Decision Support Systems; • Automated reasoning, Case-Based Reasoning or Reasoning with medical knowledge; • Business Intelligence in Health Care; • Clinical Data Mining; • Data Streaming; • Diagnostic assistance; • Expert, agent-based or knowledge-based systems; • Medical knowledge engineering; • Intelligent Decision Support Systems in Medicine. Medical Applications and Devices • Computational intelligence in bio- and clinical medicine; • Electronic Health Records (eHealth); • Image recognition and interpretation; • Intelligent devices and instruments; • Sensor-based applications; • Telemedicine and mHealth solutions; • mIOT; • Ubiquitous devices in the storage, update, and transmission of patient data; • Usability and acceptability. AI in Healthcare Information Systems • COVID-19 data solutions; • Public Health Intelligent Systems • Autonomous systems to support independent living; • Healthcare System Based on Cloud Computing; • Intelligent Healthcare information systems; • Pervasive Information Systems; • Pervasiveness and Security in Clinical Systems; • Smart homes, hospitals and Intelligent Systems; • Simulation Computer systems.
PAPER SUBMISSION All papers should be submitted in PDF format through the EPIA’2022 submission Website. Submissions must be original and can be of two types: regular (full-length) papers should not exceed twelve (12) pages in length, whereas short papers should not exceed six (6) pages. Each submission will be peer-reviewed by at least three members of the Program Committee. The reviewing process is double-blind. The best-accepted papers will appear in the proceedings published by Springer in the LNAI series (previous EPIA proceedings were indexed by the Thomson ISI Web of Knowledge, Scopus, DBLP and ACM digital library). The remaining accepted papers will be published in the local proceedings with ISBN.
*Authors of the best papers presented at the AIM track of EPIA will be invited to submit extended versions of their manuscripts for a Special Issue in Journal of Medical Systems (Springer) or in Journal of AI in Medicine (Elsevier)
ORGANIZING COMMITTEE * Manuel Filipe Santos, University of Minho, PT (contact person) mfs@dsi.uminho.pt * Carlos Filipe Portela, University of Minho, PT cfp@dsi.uminho.pt * Allan Tucker, Brunel University London, UK, allan.tucker@brunel.ac.uk * Manuel Fernandez Delgado, SP, manuel.fernandez.delgado@usc.es
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[rede.APPIA] [CFP]EPIA 2022 Thematic Track on Artificial Intelligence in Power and Energy Systems

Tiago Pinto

Dear colleagues,

 

We would like to invite you to submit a paper to the Thematic Track on Artificial Intelligence in Power and Energy Systems (AIPES) of EPIA 2022, to be held in Lisbon, between August 31 and September 2 2022 (https://epia2022.inesc-id.pt).

 

Important Deadlines:

Deadline for full paper submission: 15th April, 2022

Notification of acceptance: 31st May, 2022

Camera-Ready papers: 15th June, 2022

Conference: August 31 to September 2 2022

 

Submissions:

AIPES welcomes full length papers (of up to 12 pages) and also short papers (up to 6 pages), demonstrating practical applications. All papers should be submitted in PDF format through the EPIA 2022 EasyChair submission page.

Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made.

Accepted papers will be included in the conference proceedings (a volume of Springer’s LNAI-Lecture Notes in Artificial Intelligence), provided that at least one author is registered in EPIA 2022 by the early registration deadline. EPIA 2022 proceedings are indexed in Thomson Reuters ISI Web of Science, Scopus, DBLP and Google Scholar.

Each accepted paper must be presented by one of the authors in a track session.

 

Scope:

The Thematic Track on Artificial Intelligence in Power and Energy Systems aims at providing an advanced discussion forum on recent and innovative work on the application of artificial intelligence approaches in the field of power and energy systems, including agent-based systems, data-mining, machine learning methodologies, forecasting and optimization.

 

Submission Topics:

·       Agent-based Smart Grid Simulation

·       Big Data Applications for Energy Systems

·       Coalitions and Aggregations of Smart Grid and Market Players

·       Consumer Profiling

·       Context Aware Systems

·       Data-Mining Approaches in Smart Grids

·       Decision Support Approaches for Smart Grids

·       Demand Response Aggregation

·       Demand Response Integration in the Market

·       Demand Response Remuneration Methods

·       Electric vehicles

·       Electricity Market Modelling and Simulation

·       Electricity Market Negotiation Strategies

·       Energy Resource Management in Buildings

·       Information technology applications

·       Innovative Demand Response Models and Programs

·       Innovative Energy Tariffs

·       Integration of Electric Vehicles in the Power System

·       Intelligent Approaches for Microgrid Management

·       Intelligent Home Management Systems

·       Intelligent methods for Demand Management

·       Intelligent Resources Scheduling

·       Intelligent Supervisory Control Systems

·       Knowledge-based approaches for Power and Energy Systems

·       Load Forecast

·       Market Models for Variable Renewable Energy

·       Multi-Agent Applications for Smart Grids

·       Multi-Agent Systems in Power and Energy Systems

·       Other Artificial Intelligence-based Methods for Power and Energy Systems

·       Phasor Measurement Units Applications

·       Real-time simulation

·       Reliability, Protection and Network Security Methods

·       Renewable Energy Forecast using Computational Intelligence

·       Semantic communication and data

·       Smart Sensors and Advanced Metering Infrastructure

Thematic Track Organizers:

·       Zita Vale – Polytechnic of Porto (Portugal)

·       Tiago Pinto – Polytechnic of Porto (Portugal)

·       Pedro Faria – Polytechnic of Porto (Portugal)

·       Elena Mocanu – University of Twente (The Netherlands)

·       Decebal Constantin Mocanu – University of Twente (The Netherlands)

[rede.APPIA] LITHME WG1 invited talk: “The Perspectivist Approach to Natural Language Processing” [Feb 14, 6 pm CET | Zoom]

Henrique Lopes Cardoso
The LITHME WG1 on Computational Linguistics is organizing an invited talk session with Valerio Basile (University of Turin), to take place online via Zoom on February 14, 2022, at 6 pm CET.

Title: The Perspectivist Approach to Natural Language Processing
Abstract:
Much of contemporary Artificial Intelligence is based on supervised machine learning, a methodology that leverages large manually annotated datasets. The harmonization of the annotation, however, is often problematic, especially when highly subjective annotation tasks are performed, e.g., involving pragmatics. Discarding and averaging discordant opinions carries the risk of losing the rich knowledge coming from different annotators' perspectives.
The Perspectivist Manifesto [1] represents an effort towards preserving the disagreement in data-centered AI, while strong perspectivism [2] extends this principle to the full Natural Language Processing pipeline.
In this talk, I will present the new perspectivist paradigm, focusing on NLP, and a few recent works exploring its implications on data annotation, model evaluation, and interoperability.

[1] https://pdai.info
[2] http://www.itais.org/itais2021-proceedings/pdf/21.pdf

Short Bio:
Valerio Basile is an Assistant Professor at the Computer Science Department of the University of Turin, Italy, member of the Content-centered Computing group and the Hate Speech Monitoring lab. His work spans across several areas such as: formal representations of meaning, linguistic annotation, natural language generation, commonsense knowledge, semantic parsing, sentiment analysis, and hate speech detection, perspectives and bias in supervised machine learning, from data creation to system evaluation.

The session is open to everyone. Please register at

[rede.APPIA] Fwd: [Euraisocieties] EurAI: call for conference sponsorship Autumn 2022

Henrique Lopes Cardoso
———- Forwarded message ———
From: Catholijn Jonker – EWI via Euraisocieties <euraisocieties@eurai.org>
Date: Mon, Jan 24, 2022 at 3:00 PM
Subject: [Euraisocieties] EurAI: call for conference sponsorship Autumn 2022
To: <euraisocieties@eurai.org>, <EURAIFELLOWS@ls.kuleuven.be>
Cc: <euraiboard@eurai.org>

We recall that EuRAI sponsors invited talks at international conferences. The guidelines for eligibility and duties of sponsored conferences can be read at

https://eurai.org/apply_for/conference_sponsorship

 

Conference organizers who want to apply to funding for a conference that takes place before the end of December 2022 should apply **before April 15, 2022**.

 

The submission URL for EurAI Sponsorship is

https://forms.gle/basuf5A8xt26bicK9   

 

There will be another call in autumn of this year for conferences that take place in the first half of 2023.

 

Best regards,

 

Catholijn Jonker, on behalf of

The EuRAI board.

 

Prof. Dr. C.M. Jonker
Interactive Intelligence Group, Fac. EEMCS, TU Delft and

Explainable Artificial Intelligence, LIACS, Leiden University


Delft office: West6.600 in Building number 28
Delft phone: +31.15.2781315 (is active whenever my laptop is connected to the internet)
Online office https://tudelft.zoom.us/my/catholijn

Mobile phone: +31.6.48875207
Websites: http://ii.tudelft.nl/~catholijn and catholijnjonker.nl

 

 

[rede.APPIA] NOVOS CONTEÚDOS NO SÍTIO DA OTC

Luís Moniz Pereira

cid:image001.jpg@01D45035.7C881990

 

NOVOS CONTEÚDOS NO SÍTIO DA OTC 

Informação exclusiva a associada(o)s

 

https://otc.pt/wp/wp-content/uploads/2022/01/iStock-1354355308-678x381.jpg

 

Luís Moniz Pereira entrevistado por Sofia Teixeira (DN/JN)

(Texto integral,Outubro 2021)

 

¤ ¤ ¤ ¤ ¤

 

https://otc.pt/wp/wp-content/uploads/2022/01/DAKAR-FC-AFRICA-678x381.jpg

 

“Ciência e desenvolvimento sustentável”

Frederico Carvalho

 

 

¤ ¤ ¤ ¤ ¤

 

 

:Visite regularmente o nosso sítio na net!

Consulte a nossa Política de Privacidade:https://otc.pt/wp/politica-de-privacidade/

OTC-Organização dos Trabalhadores Científicos

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[rede.APPIA] Call for Papers – Adaptive and Learning Agents Workshop (ALA) at AAMAS 2022 (Online)

Fernando Santos
** Apologies if you receive more than one copy. **


Dear all,

We are organizing the next iteration of the Adaptive and Learning Agents (ALA) workshop at the International Conference on Autonomous Agents and Multiagent Systems (AAMAS), which will happen online.
I would like to invite your participation and thank you in advance for sharing this info with students and colleagues.

*******************************************************
Adaptive and Learning Agents Workshop at AAMAS (*VIRTUAL*, Auckland, New Zealand)

Submission deadline: January 30, 2022

Extended versions of all original contributions at ALA 2022 will be eligible for inclusion in a special issue of the Springer journal Neural Computing and Applications (Impact Factor 5.606).

*******************************************************
IMPORTANT DATES:

* Submission Deadline: January 30, 2022
* Notification of acceptance: February 27, 2022
* Camera-ready copies: March 5, 2022
* Workshop: May 9 & 10, 2022
* Journal submission deadline: September 15, 2022
*******************************************************


—
OVERVIEW

Adaptive and learning agents, particularly those interacting with each other in a multi-agent setting, are becoming increasingly prominent as the size and complexity of real-world systems grows. How to adaptively control, coordinate and optimize such systems is an emerging multi-disciplinary research area at the intersection of Computer Science, Control Theory, Economics, and Biology. The ALA workshop will focus on agents and multi-agent systems which employ learning or adaptation. The goal of this workshop is to increase awareness of and interest in adaptive agent research, encourage collaboration and give a representative overview of current research in the area of adaptive and learning agents and multi-agent systems. It aims at bringing together not only scientists from different areas of computer science but also from different fields studying similar concepts (e.g., game theory, bio-inspired control, mechanism design).

All aspects of adaptive and learning agents and multi-agent systems are on topic for this workshop, but we will particularly encourage work that modifies established learning techniques and/or creates new learning paradigms to address the many challenges presented by complex real-world problems. The topics of interest include (but are not limited to):

* Novel combinations of reinforcement and supervised learning approaches
* Integrated learning approaches using reasoning modules like negotiation, trust, coordination, etc.
* Supervised and semi-supervised multi-agent learning
* Reinforcement learning in multi-agent systems
* Novel deep learning approaches for adaptive single and multi-agents systems
* Human-in-the-loop learning systems
* Planning and Reasoning (single and multi-agent)
* Distributed learning
* Adaptation and learning in dynamic environments
* Evolution and Co-evolution of agents in complex multi-agent environments
* Cooperative exploration
* Learning to cooperate and collaborate
* Learning trust and reputation
* Communication restrictions and their impact on multi-agent coordination
* Design of reward structure and fitness measures for coordination
* Scaling learning techniques to large systems of agents
* Emergent behavior in adaptive multi-agent systems
* Game theoretical analysis of adaptive multi-agent systems
* Neuro-control for adaptation in multi-agent systems
* Bio-inspired multi-agent systems
* Adaptive and learning agents for multi-objective decision making
* Multiple objectives in (multi-)agent systems
* Applications of adaptive and learning (multi-agent) systems to model real world complex systems

In addition to these topics, this year we are interested in exploring negative results that can serve as guidelines for early-stage researchers in the field of adaptive and learning single/multi-agent systems.

*******************************************************
SUBMISSION DETAILS

Papers can be submitted through EasyChair: https://easychair.org/my/conference?conf=ala20220 

We invite submission of original work, up to 8 pages in length (excluding references) in the ACM proceedings format (i.e. following the AAMAS formatting instructions). This includes work that has been accepted as a poster/extended abstract at the AAMAS 2022 conference. Additionally, we welcome submission of preliminary results, i.e. work-in-progress, as well as visionary outlook papers that lay out directions for future research in a specific area, both up to 6 pages in length, although shorter papers are very much welcome, and will not be judged differently. Finally, we also accept recently published journal papers in the form of a 2 page abstract.

All submissions will be peer-reviewed (single-blind).Accepted work will be allocated time for poster and possibly oral presentation during the workshop. Extended versions of all original contributions at ALA 2022 will be eligible for inclusion in a special issue of the Springer journal Neural Computing and Applications (Impact Factor 5.606).

Deadline for submitting extended papers: September 15, 2022.

We look forward to receiving your submissions,
– The Organizers
Conor F. Hayes (NUI Galway, IE)
Francisco Cruz (Deakin University, AUS)
Fernando P. Santos (University of Amsterdam, NL)
Felipe Leno da Silva (Lawrence Livermore National Lab, USA)

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