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] AI4IS@EPIA 2025 – Call for papers

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CFP: Artificial Intelligence for Industry and Society (AI4IS@EPIA-2025)
Thematic track of the 24th Portuguese Conference on Artificial Intelligence (EPIA 2025)
October 1-3, 2025, Faro, Portugal.
Webpage:  
https://epia2025.ualg.pt/tt-artificial-intelligence-for-industry-and-societies-ai4is/
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IMPORTANT DATES
Paper submission: May 23, 2025
Notification of paper acceptance: July 4, 2025
Camera-ready papers deadline: July 14, 2025
Conference dates: October 1-3, 2025

IMPORTANT NEWS
– LNCS/LNAI Proceedings (Springer)
– A selection of the best papers will be invited to fast-track journal submissions
– Special issue at Springer (Q2) with selected papers*

INTRODUCTION
Societies and industries face many challenges to be more intelligent and sustainable. In this context, many good practices and approaches are being explored, and numerous new contributions are being generated daily. Many good practices and procedures are being investigated, and several unique contributions emerge without benefitting from sufficient visibility. The track “Artificial Intelligence for Industry and Society” aims to overcome precisely this gap. An intelligent society looks to citizens’ problems and tries to maximize the use of high-potential innovative technologies by collaboration across multiple sectors so as to create more efficient, intelligent, and adaptable services, and, ultimately, to enable prosperity and resilience. This is where the concept of smart cities comes into play, as they are perfectly positioned to integrate smart infrastructures with human needs through community services. Connected and efficient cities and communities can lead to informed, engaged, and contented citizens.
However, to have an innovative society, intelligent industries are also necessary. The concept of Industry 4.0 is associated with the digital transformation of manufacturing and related sectors, as well as value-creation processes. Artificial Intelligence (AI) plays a vital role in automating processes, predicting errors, and reducing failures. However, we are now witnessing post-Industry 4.0 developments in Europe and around the World, as led by eco-innovation and green (re-)industrialization”, driven by the transition to sustainable development. AI will have an even stronger role in these, as complex multi-disciplinary projects need its support.
In this evolution, industry and society must work together, and this is a truly multidisciplinary endeavour whereby AI is a key hinge and facilitator between technologies, people, goods, and services. The present conference track seeks to bring together researchers and professionals, enabling them to explore new solutions and applications across society and industry, including novelties and best practices that can be implemented in the real world. The event enters a new era of technical communication by demonstrating how scientific knowledge can be transferred to society and applied in industry using Data Science and AI approaches in topics such as “Business, Industry, and Smart Factory” and “Sustainable and Smart Cities and Societies”. IA4IS is open to receiving and selecting several high-quality contributions in these two areas, especially propositions related to cognitive computing platforms and applications, including technologies and infrastructures associated with AI, machine learning, big data processing and data analytics.

TOPICS OF INTEREST

Innovative and exciting works are welcome in areas including, but not limited to:

Business, Industry and Smart Factory
– Advanced data visualisation and data management techniques and solutions
– Advanced interactive technologies, including augmented/virtual reality
– Advanced mechanical engineering technologies with Machine Learning
– AI-assisted designs and process simulations – Artificial intellect
– AI for Sustainability (e.g. LCA, ESR)
– Artificial Intelligence solutions and applications in Industry (e.g. Energy, Metal, Textile, Garments, others)
– Augmented reality with artificial Intelligence
– Authentication, data security and protection
– Automation and intelligent robotics
– Controlling textile materials using AI
– Cyber-physical systems (CPS) with Artificial Intelligence (AI)
– Industrial Internet of Things (IoT) – Internet of Things modules, platforms and applications applied to Industry
– Minimizing production scrap
– Minimizing the use of energy and raw materials
– Minimizing CO2 and other greenhouse gas (GHG) emissions
– Mobile and wearable devices with AI modules
– Optimizing melting, heat treatment and production process parameters using data collection, analysis, and interpretation
– Optimizing the design, development and production processes of textiles and Fibers using AI
– Quality Control Systems
– Scrap management systems
– Smart factory, production technologies and systems
– Smart sensors and biosensors
– Sorting technologies in scrap recycling

Sustainable and Smart Cities and Societies
– Big data, open data, and analytical tools
– Bring Your Own Device (BYOD) solutions
– Disaster management
– Internet of Things (IoT) for smart cities
– Responsible innovation
– Generative AI in societies
– Smart buildings
– Smart economy
– Smart energy
– Smart garbage and PAYT
– Smart governance
– Smart grid infrastructures
– Smart Living, Wellbeing, and healthcare
– Smart people
– Smart sensing
– Smart Transportation and Urban Mobility
– Technological infrastructure for smart cities support
– Web/mobile solutions with AI

PAPER SUBMISSION
All papers should be submitted in PDF format through the EPIA’2025 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 be published in the proceedings by Springer in the LNAI series (previous EPIA proceedings were indexed in Thomson ISI Web of Knowledge, Scopus, DBLP, and the ACM Digital Library). The remaining accepted papers will be published in the local proceedings with an ISBN.

*Authors of the best papers presented at the AI4IS track of EPIA will be invited to submit extended versions of their manuscripts for a Springer Special Issue or at other EPIA Fast-Track submission processes

ORGANISING COMMITTEE
Filipe Portela (cfp@dsi.uminho.pt)
Sherin M. Moussa
Teresa Guarda
Ioan M. Ciumasu

[rede.APPIA] 2025 Maze Competition 🔗 Event hosted at: AAMAS 2025

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🚀 Ready for a Challenge? Join the 2025 Maze Solving Competition! 🌟

Are you ready to showcase your problem-solving skills? Participation is now open for the 2025 Maze Solving Competition Using Interactive Agents!

📢 Webinar on 29 April: https://www.eventbrite.pt/e/2025-maze-solving-competition-using-interactive-agents-webinar-tickets-1326462818999

🏆 When? April 1st – May 15th, 2025.

🤔 What’s the Challenge? Create an agent to navigate multi-layered mazes, interact with other agents, and aim to achieve the fastest completion time. 💡

💻 Why Participate?

  • Design and test new strategies for maze solving.
  • Design and test new strategies for the Prisoner’s Dilemma.
  • Compete against NPCs in a simulated scenario before submission to improve your results.

🔗 Learn more: 2025 Maze Competition 🔗 Event hosted at: AAMAS 2025 Conference

Don’t miss the chance to leave your mark in the field of agent design!

The top 3 participants will be invited to present and discuss their work.

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Cumprimentos e Obrigado,
Luis Gomes

Luis Gomes
Departamento de Engenharia Informática

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

Goreti Marreiros

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] ECMLPKDD 2025: List of Available Workshops You Can Participate In

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————————————- List of Workshops at ECMLPKDD 2025 ————————————-
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases – ECMLPKDD 2025 will be held in Porto, Portugal, from 15th and 19th of September of 2025
Conference website: ecmlpkdd.org/2025/
ECMLPKDD 2025 includes many workshops where participants can discuss current and emerging machine learning and data mining topics. Please check below the list of workshops we offer this year and participate!
Paper submission deadline: June 14th, 2025 (Check the web page of the workshop for up-to-date information)
——————————————————————— 9th Interactive Adaptive Learning Workshop
ial-workshop.github.io/ial2025/ ——————————————————————— Deep Learning meets Neuromorphic Hardware
sites.google.com/view/dl-meets-nh-25 ——————————————————————— Machine Learning for Cybersecurity (MLCS 2025)
mlcs.lasige.di.fc.ul.pt/ ——————————————————————— AI for Safety-Critical Infrastructures (AI-SCI)
sites.google.com/view/ai-sci-workshop/ ——————————————————————— 5th Workshop on Bias and Fairness in AI
sites.google.com/view/bias-2025-ecmlpkdd/ ———————————————————————
10th Workshop on Advanced Analytics and Learning on Temporal Data (AALTD 2025)
ecml-aaltd.github.io/aaltd2025/ ——————————————————————— MACLEAN: MAChine Learning for EArth ObservatioN
sites.google.com/view/maclean25 ——————————————————————— MLG: Mining and Learning with Graphs
mlg-europe.github.io/2025/ ——————————————————————— 2nd TempXAI Workshop for Explainable AI in Time Series and Data Streams
lamarr-institute.github.io/tempxai25/ ————————————————————– Workshop on Innovations, Privacy-preservation, and Evaluations Of machine Unlearning Techniques (WIPE-OUT 2025)
aiimlab.org/short/WIPE-OUT_2025 ————————————————————— New Frontiers in Mining Complex Patterns
nfmcpworkshop.github.io/ ——————————————————————— Machine Learning for Sustainable Power Systems (ML4SPS)
sites.google.com/view/ml4sps/ml4sps/ecml-pkdd-2025-porto?authuser=0 ——————————————————————— SoGood 2025 – 10th Workshop on Data Science for Social Good
sites.google.com/view/sogood-2025/ ——————————————————————— International Workshop on Learning from Small Data (LFSD 2025)
sites.google.com/view/lfsd2025/home ——————————————————————— ML4ITS2025 – Machine Learning for Irregular Time Series
ml4its.github.io/ml4its2025/ ——————————————————————— Workshop on Machine Learning and Data Mining for Sports Analytics (MLSA)
dtai.cs.kuleuven.be/events/MLSA25/ ——————————————————————— Learning to Quantify: Methods and Applications (LQ 2025)
lq-2025.github.io/ ——————————————————————— Advances in Interpretable Machine Learning and Artificial Intelligence (AIMLAI)
project.inria.fr/aimlai/ ——————————————————————— Human-Centered Data Mining Workshop (HuMine 2025)
humine2025.liacs.nl ——————————————————————— DEARING 2025: 2nd International Workshop on Data-cEntric ARtIficial iNtelliGence + Tutorial: AI’s Secret Key: The Power of High-Quality Data
dearing-workshop.github.io ——————————————————————— Towards Hybrid Human-Machine Learning and Decision Making (HLDM)
sml.disi.unitn.it/hldm25.html ——————————————————————— AI4WORK: International Workshop on AI for Human Resources and Public Employment Services
ai4work.github.io/ecmlpkdd2025/ ——————————————————————— Third Workshop on Machine Teaching for Humans (MT4H)
xai.w.uib.no/mt4h/ ——————————————————————— Interactive eXplainable AI – Theory and Practice (IXAIT)
IXAIT.geist.re ——————————————————————— Workshop on Responsible Healthcare using Machine Learning 2025
rhcml.github.io/ ——————————————————————— IoT, Edge, and Mobile for Embedded Machine Learning
www.item-workshop.org/ ——————————————————————— SynDAiTE – Synthetic Data for AI Trustworthiness and Evolution
aiimlab.org/events/ECML_PKDD_2025_SynDAiTE_Synthetic_Data_for_AI_Trustworthiness_and_Evolution.html ——————————————————————— MIDAS – The 10th Workshop on MIning DAta for financial applicationS
midas.portici.enea.it/ ——————————————————————— AIDEM 2025: International Tutorial and Workshop on Artificial Intelligence, Data Analytics and Democracy
aidem2025.isti.cnr.it/ ——————————————————————— XKDD 2025 and Beyond: 7th International Workshop on eXplainable Knowledge Discovery in Data Mining and Unlearning Through XAI
xkdd2025.isti.cnr.it ——————————————————————— 5th Machine Learning for Pharma and Healthcare Applications
sites.google.com/view/pharml2025/home ——————————————————————— WAFL – 3rd Workshop on Advancements in Federated Learning
wafl2025.di.unito.it ——————————————————————— Data Science Meets Optimization
sites.google.com/view/dso-workshopecml-pkdd-2025 ——————————————————————— MED-TIME: Learning on Real and Synthetic Medical Time Series Data
med-time2025.blogs.dsv.su.se/ ———————————————————————
For additional information, please check the webpage: ecmlpkdd.org/2025/submissions-workshop-track/ or sent an email to ecml-pkdd-2025-workshops-track@googlegroups.com
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
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[rede.APPIA] DaSSWeb – Data Science and Statistics Webinar – 22 April – Donato Malerba – Data-Centric AI

MC
DaSSWeb- Data Science and Statistics Webinar

 

Tuesday, 22 April, 14:30 (WEST)

 

Speaker

Donato Malerba

Dept. of Computer Science

University of Bari “Aldo Moro”, Italy


Title

Data-Centric AI

Zoom link

Abstract

Artificial Intelligence (AI) has historically relied on two key elements: data and algorithms.

However, the traditional Model-Centric AI paradigm has typically emphasized algorithms, often handling data as static entities.

Data are typically gathered, pre-processed, and kept unchanged, with significant efforts focused on refining learned models.

This conventional approach has led to the development of increasingly complex and opaque decision models, requiring substantial effort in data training.

On the other hand, the emerging Data-Centric AI (DCAI) paradigm focuses on the systematic and algorithmic generation of optimal data to fuel Machine Learning (ML) and Deep Learning (DL) techniques.

The primary aim of the DCAI paradigm is to improve data quality, thereby achieving model accuracy deemed unattainable levels through model-centric techniques alone.

In this talk we will discuss the transformative effects of recent advancements in the DCAI paradigm on the future use of AI, ML and DL in data science.

The objective is to inspire further innovations in DCAI research, ultimately influencing the future landscape of in data science applications.

 

Main reference:

Donato Malerba, Vincenzo Pasquadibisceglie: Data-Centric AI. Journal of Intelligent Information Systems 62(6): 1493-1502 (2024)

pdf icon DaSSWeb-DonatoMalerba-22April2025.pdf

[rede.APPIA] AI-AEC@EPIA 2025

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CALL FOR PAPERS

AI for Architecture, Engineering and Conservation (AI-AEC)

We are pleased to invite you to submit your work to the EPIA 2025 thematic track “AI for Architecture, Engineering and Conservation (AI-AEC)”, to be held October 1–3, 2025, at the University of Algarve, Faro, Portugal.

Track webpage: https://epia2025.ualg.pt/tt-ai-for-architecture-engineering-and-conservation/

Important Deadlines
Paper submission deadline: May 23rd, 2025 (AoE)
Notification of acceptance: July 4th, 2025
Final paper submission deadline: July 14th, 2025 (AoE)
Conference dates: October 1st–3rd, 2025

About the thematic track
This track aims to highlight the transformative impact of Artificial Intelligence within the fields of architecture, engineering, and conservation, fostering innovations that include, among others, the following aspects:

  • Customized foundational models and AI frameworks applied to infrastructure resilience and structural monitoring;
  • Computer vision techniques, object detection, predictive modeling, and feature extraction essential for identifying and addressing defects in infrastructure, cultural heritage, and environmental systems;
  • AI applications for the three-dimensional reconstruction of historical artifacts and predictive maintenance of pavements, water supply systems, and other critical infrastructures;
  • Use of generative AI to support architectural design, urban planning, and the development of sustainable materials;
  • Leveraging data from satellites, drones, IoT sensors, and global collaborations, which are revolutionizing the analysis and understanding of large-scale datasets.

Publication and Presentation

Accepted papers will be included in the conference proceedings published in Springer’s Lecture Notes on Artificial Intelligence (LNAI) series. Selected high-quality papers may also be invited for extended versions to be published in a special virtual issue of the Journal of Cultural Heritage.

Why Submit?

Participating in this track will enable you to present your work to an international audience composed of researchers, professionals, and industry experts, contributing to advancements in AI applications in sectors critical to sustainability, innovation, and heritage preservation.

We look forward to your contribution to enrich this forum for discussion and knowledge sharing. For further details and to submit your paper, please visit the official conference website: https://epia2025.ualg.pt/