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] Summer School on Data-Driven Predictive Maintenance for Industry 4.0

Carlos Manuel Abreu Gomes Ferreira
DSAA’2021 Parallel Event:

Summer School on Data-Driven Predictive Maintenance for Industry 4.0
Porto, Portugal, October 3–5, 2021

The Summer School is for students, researchers, and practitioners who want to
learn how to implement predictive maintenance to solve real industrial problems
using machine learning approaches.

More information at: https://hh.se/PMSummerSchool

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

[rede.APPIA] “From Machine Morals to the Machinery of Morality” – Invited talk at Lions Clube Guimarães, Guimarães, Portugal, 16 April 2021.

Luís Moniz Pereira
My recent talk.

 




Invited talk at Lions Clube Guimarães, Guimarães, Portugal, 16 April 2021.

Video Facebook 130 mins (in Portuguese – starts at min. 12) Slides (in English)
 


Abstract

• We are at a crossroads between Artificial Intelligence, Machine Ethics, and their Social Impacts.

• I co-authored in 2016 “Programming Machine Ethics,” a book of technical incursions into this terra incognita.

• It addresses two moral realms ‒ the cognitive and the populational ‒ using techniques from Logic Programming and from Evolutionary Game Theory.

• The present talk delves into machine ethics and the non-technical issues arising from it. It is covered in a 2020 book I co-authored:

  ” Machine Ethics”  (in English — Springer SAPERE series)    &    “Máquinas Éticas”  (in Portuguese — NOVA.FCT Editorial)

[rede.APPIA] CFP: Artificial Intelligence in Medicine (AIM@EPIA-2021)

Carlos Filipe da Silva Portela

(Apologies for cross-posting)
====================================================================== *CFP: Artificial Intelligence in Medicine (AIM@EPIA-2021)* Thematic track of the 20th Portuguese Conference on Artificial Intelligence (EPIA 2021) 7-9 September 2021, Online Webpage:https://epia2019.utad.pt/index.php/83-thematic-tracks/99-aim ====================================================================== *IMPORTANT DATES* – Full Paper Submission:_April 30, 2021_ – Notification of Acceptance: May 31, 2021 – Camera ready Papers: June 15, 2021 – Conference Date: September 7-9, 2021
*IMPORTANT NEWS* – LNCS/LNAI Proceedings (Springer) – Special issue of the journal Medical Systems with selected papers*
*INTRODUCTION* Every day 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 artefacts 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; • Pervasive or Real-Time Intelligent Decision Support Systems in Critical Health Care. 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; • Ubiquitous devices in the storage, update, and transmission of patient data; • Usability and acceptability. AI in Healthcare Information 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* Submissions must be full technical papers on substantial, original, and previously unpublished research. Papers can have a maximum length of 12 pages. All papers should be prepared according to the formatting instructions of Springer LNCS series (Springer Lecture Notes in Computer Science). Authors should omit their names from the submitted papers, and should take reasonable care to avoid indirectly disclosing their identity. All papers should be submitted in PDF format through the EPIA2021 submission Website (www.easychair.org/my/conference?conf=epia2021#) selecting the track Artificial Intelligence in Medicine (AIM). All accepted papers will be published by Springer in a volume of the LNAI Lecture Notes in Artificial Intelligence series (indexed by the Thomson ISI Web of Knowledge). *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)
*ORGANIZING COMMITTEE* * Manuel Filipe Santos, University of Minho, Portugal (contact person)mfs@dsi.uminho.pt * Carlos Filipe Portela, University of Minho, Portugalcfp@dsi.uminho.pt * Allan Tucker, Brunel University London, Uk * Manuel Fernandez Delgado, University of Santiago de Compostela, Spain

[rede.APPIA] [CFP]Deadline extended – EPIA 2021 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 of EPIA 2021, to be held Online, between 7 and 9 September 2021 (http://www.appia.pt/epia2021/aipes).

 

Important Deadlines:

Deadline for full paper submission: 30th April, 2021 (EXTENDED)

Notification of acceptance: 31st May, 2021

Camera-Ready papers: 15th June, 2021

Conference: 7-9 September 2021

 

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 2021 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 2021 by the early registration deadline. EPIA 2021 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.

Authors of selected papers will be invited to submit an extended and improved version to a special issue published with Energies international journal (Impact Factor: 2.702). Article processing charges (APC) will be waived for the BEST PAPER and a 50% discount will be offered to the runner-up. All other papers accepted in AIPES will be offered a 15% discount for inclusion in this special issue.

 

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] Workshop on Deep Learning Applications (DeLA)

Dalila Durães

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: 30 th April, 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] IEEE/ACM/ASA DSAA’2021 Competition: Telecom System Reconciliation (Kaggle Challenge)

Carlos Manuel Abreu Gomes Ferreira

Competition: Telecom System Reconciliation (on high dimensional datasets)
Goal: Predict the correct configuration of the Billing system based on CRM configuration
Have you ever been charged for something you did not subscribe to? How hard could it be to get my invoice right?
One of the most important processes for telecommunications operators is service provisioning to a customer. This is the process responsible to provide you with the services you contracted and charging you for them.
In this competition, we challenge you to predict the right bill for a customer given the services he contracted. The goal is to build a model that receives the configuration of the CRM system and predicts the correct configuration of the Billing system.
Kaggle is hosting this competition in the Web page:
www.kaggle.com/t/10bf70a6f68f4e57bea47a3b32b6e746
Accept the challenge, have fun and win!!!

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