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] KRR@EPIA24 Call for Papers

MC
*** Apologies for multiple copies ***

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CALL FOR PAPERS
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Knowledge Representation and Reasoning

23rd EPIA Conference on Artificial Intelligence – EPIA 2024

September 3-6, 2024
Viana do Castelo, Portugal

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The aim of this track is to gather and discuss novel research in the area of Knowledge Representation and Reasoning, both for theoretical results as well as implemented systems and applications.

EPIA is a well-established international conference on Artificial Intelligence. The scientific program is composed of thematic tracks. Submitted papers will be subject to a rigorous revision process and accepted papers will be published in Springer’s Lecture Notes in Artificial Intelligence (LNAI). 

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Important Dates
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Paper submission deadline: Apr 30, 2024
Notification of paper acceptance: Jun 15, 2024
Camera-ready papers deadline: Jul 15, 2024
Conference dates: September 3-6, 2024

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Submission and Reviewing
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– All papers should be submitted in PDF format through the EPIA 2024 EasyChair submission page https://easychair.org/my/conference?conf=epia2024
– Prospective authors should select the KRR track. The papers should be prepared according to the Springer LNAI format, with a maximum of 12 pages.
– Submitted papers will be subject to a double-blind review process and will be peer-reviewed by at least three members of our track Program Committee. It is the responsibility of the authors to remove names and affiliations from the submitted papers, and to take reasonable care to assure anonymity during the review process.
– Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers. 

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Proceedings and Presentations
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– Accepted papers will be included in the conference proceedings (as in previous editions, the publication of a volume of Springer's LNAI-Lecture Notes in Artificial Intelligence is expected), as long as at least one author is registered in EPIA 2024 by the deadline advance registration.
– EPIA 2024 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.

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Awards
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The conference will grant the following awards:
* Best Paper Award, for the best research paper presented at the conference
* Best Application Paper, for the best application paper presented at the conference
* Best Student Paper Award, for the best research paper presented at the conference where the first author is a student (to confirm)

Important: only papers that have been submitted to a thematic track and presented at the conference will be eligible for these awards.

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Topics for KRR track
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Topics of interest for the KRR track include, but are not limited to:

• Action, change, causality and causal reasoning
• Argumentation
• Belief revision and update, belief merging
• Commonsense reasoning
• Constraint programming and KRR
• Contextual reasoning
• Description logics
• Diagnosis, abduction, explanation finding
• Inconsistency- and exception tolerant reasoning, paraconsistent logics
• KR and autonomous agents: intelligent agents, cognitive robotics, multi-agent systems
• KR and decision making, game theory, social choice
• KR and machine learning, inductive logic programming, knowledge discovery and acquisition
• KR and stream reasoning
• KR and the Web, Semantic Web
• Logic programming, answer set programming, constraint logic programming
• Non-monotonic logics, default logics, conditional logics
• Ontology formalisms and models
• Preferences: modeling and representation, preference-based reasoning
• Reasoners and solvers: SAT solvers, theorem provers, QBF solvers, and others
• Reasoning about knowledge and belief, dynamic epistemic logic, epistemic and doxastic logics
• Spatial reasoning and temporal reasoning, qualitative reasoning
• Uncertainty, representations of vagueness, many-valued and fuzzy logics

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KRR@EPIA 2024 Committees
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Organising Committee
Pedro Cabalar, University of Corunna, Spain
Eduardo Fermé, University of Madeira, Portugal
Ricardo Gonçalves, Universidade NOVA de Lisboa, Portugal
Matthias Knorr, Universidade NOVA de Lisboa, Portugal
Rafael Peñaloza Nyssen, University of Milano-Bicocca, Italy

Program Committee

Alejandro Garcia, Universidad Nacional del Sur, Argentina
Carlos Areces, Universidad Nacional de Córdoba, Argentina
Carmine Dodaro, University of Calabria, Italy
Cristina Feier, Technical University of Cluj Napoca, Romenia
David Pearce, Universidad Politécnica de Madrid, Spain
Erman Acar, Vrije Universiteit Amsterdam, Netherlands
Fabrizio Maggi, Free University of Bozen-Bolzano, Italy
Francesca Alessandra Lisi, Universit degli Studi di Bari Aldo Moro, Italy
Gerhard Brewka, Leipzig University, Germany
Inês Lynce, University of Lisbon, Portugal
Jesse Heyninck, Open Universiteit, the Netherlands
João Leite, Universidade Nova de Lisboa, Portugal
José Júlio Alferes, Universidade Nova de Lisboa, Portugal
Mantas Simkus, Vienna University of Technology, Austria
Manuel Ojeda, Universidad de Málaga, Spain
Maria Vanina Martinez, Artificial Intelligence Research Institute (IIIA – CSIC), Spain
Marco Paulo Ferreirinha Garapa, University of Madeira, Portugal
Mario Alviano, University of Calabria, Italy
Maurício Duarte Luís Reis, University of Madeira, Portugal
Nicolas Troquard, Gran Sasso Science Institute, Italy
Orkunt Sabuncu, TED University Ankara, Turkey
Rafael Testa, University of Campinas, Brazil
Ramon Pino Perez, Université d'Artois, France
Salvador Abreu, University of Évora, Portugal
Zeynep Saribatur, Vienna University of Technology, Austria

[rede.APPIA] IROBOT@EPIA2024 – Thematic Track on Intelligent Robotics

appiaAdmin
(apologies for cross-posting)
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IROBOT’2024 CALL FOR PAPERS 
13th International Thematic Track on Intelligent Robotics 
To be held at EPIA 2024, September 3-6, 2024 
Viana do Castelo, Portugal 
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The EPIA Conference on Artificial Intelligence (AI) is a 
well-established European conference in the field of AI. 
The 23rd edition, EPIA 2024, will take place in Viana do Castelo,
Portugal, between 3rd to 6th of September, 2024. As in previous 
editions, this international conference is hosted with the patronage
of the Portuguese Association for Artificial Intelligence (APPIA). 
The purpose of this conference is to promote research in all areas 
of AI, covering both theoretical/foundational issues and applications, 
and the scientific exchange among researchers, engineers, and 
practitioners in related disciplines.
EPIA 2024 will feature a set of thematic tracks, covering a wide spectrum 
of AI topics.
Accepted papers will be published in a Springer’s Lecture Notes in 
Artificial Intelligence volume.
## Important Dates 
 30 Apr 2024: Paper Submission Deadline
 15 Jun 2024: Author Notification 
 15 Jul 2024: Camera-Ready Deadline
3-6 Sep 2024: EPIA’2024 Conference 
## IROBOT Description 
IROBOT’2024 poses itself as a follow-up on the previous nine International
Thematic Tracks/Workshops on Intelligent Robotics held at EPIA since 2005. 
Its main purpose is to bring together researchers, engineers and other 
professionals interested in the application of AI techniques in real/simulated
robotics to discuss current work and future directions.
Robotics, from the point of view of AI, has been an important 
application field, from which AI has also gained. Namely, the dynamic 
and unforeseen nature of the environment, especially for mobile robots,
has fostered research in these aspects of AI. Together with the developments
in Robotics Research, the use of Robotics in industry and services has 
changed a lot in recent years. New paradigms and approaches for industrial 
robots and service robots have emerged, for example, on mobile robots 
learning, localization, mapping and navigation in unstructured environments. 
IROBOT 2024 will discuss will discuss these new developments on industrial 
and service robotics with focus on robotic assistive platforms/solutions and 
robotics application related to nature (ocean, florest, agriculture, etc.). 
## Topics of Interest 
The Thematic Track will be structured around the following themes: 
– Adaptive and flexible industrial robotics
– Agriculture robots
– AI Planning for robotics 
– Autonomous vehicles 
– Cognitive robotics 
– Computer vision and object recognition 
– Coordination in robotics 
– Evolutionary robotics and reactive intelligence 
– Human-robots interface and interaction 
– Humanoid robotics 
– Intelligent buildings and warehouses 
– Intelligent transportation systems 
– Mobile robots localization and navigation 
– Modelling and simulating complex robots 
– Multi-Robot systems 
– Field Robots 
– Real-time reactivity 
– Robot behaviour engineering
– Robot learning and adaptation 
– Robotic surveillance 
– Sensor fusion 
This topics’ list is not exhaustive. Papers may address one or more of the 
topics, and authors should not feel limited by them. Unlisted but related 
topics are also acceptable, provided they fit in the thematic track main 
subject. 
## Paper Submission 
Authors are invited to submit original research contributions or 
experience reports in English. Scientific or technical articles describing 
state-of-the-art techniques, algorithms, systems, environments, problems 
or applications relevant to the area of Intelligent Robotics may 
be submitted. Papers discussing application transfer from simulated to 
real robots and papers showing socially useful robotic applications 
generated by participations in robotic competitions are also welcome. 
Although the main focus is on robot learning, there will be space for 
reporting research in AI applied to other types of robots. 
Submissions must follow the guidelines specified in the EPIA’2024 site. 
The Springer LNCS format must be used (instructions in 
Springer encourages authors to include their ORCIDs in their papers. 
The length of submitted full papers must not exceed 12 pages. Authors must remove 
their names from the submitted papers, and should take reasonable care 
not to indirectly disclose their identity. Paper submissions will be made 
in PDF format, through the submission page:
Three program committee members will be assigned to review each 
paper. Acceptance will be based on the paper’s significance, technical 
quality, clarity, relevance and originality. Accepted papers, must be 
presented at the conference by one of the authors. Accepted papers will 
be scheduled for presentation, which requires that at least one of the 
authors should register at the Conference. All accepted papers will be 
published in the Conference Proceedings. 
## IROBOT’2024 Organizing Committee 
Nuno Lau, Universidade de Aveiro / IEETA, Portugal
Luís Paulo Reis, Universidade do Porto / LIACC, Portugal
João Alberto Fabro, Universidade Tecnológica Federal do Paraná (UTFPR), Brazil

[rede.APPIA] [CfP] 3rd Workshop on Enhancing Generative Machine Learning with Evolutionary Computation at GECCO24

appiaAdmin

Dear Colleague(s),

Thus, below you will find the call for papers for EGML-EC 2024 – The Third workshop on Enhancing Generative Machine Learning with Evolutionary Computation.

https://sites.google.com/view/egml-ec2024

Feel free to distribute, and thank you for your time.

Best regards,

The Workshop Chairs

Jamal Toutouh

Una-May O’Reilly

João Correia

Penousal Machado

Erik Hemberg

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CALL FOR PAPERS

EGML-EC@GECCO-2024

3rd Workshop on Enhancing Generative Machine Learning with Evolutionary Computation

https://sites.google.com/view/egml-ec2024

Genetic and Evolutionary Computation Conference (GECCO'24)

Melbourne, Australia, July 14 to 18, 2024

.Overview and Scope

Generative Machine Learning has become a key field in machine learning and deep learning.  In recent years, this field of research has proposed many deep generative models (DGMs) that range from a broad family of methods such as large language models (LLMs), generative adversarial networks (GANs), variational autoencoders (VAEs), Transformers, autoregressive (AR) models and stable diffusion models (SD).  Although these methods have achieved state-of-the-art results in the generation of synthetic data of different types, such as images, speech, text, molecules, video, etc., Deep generative models are still difficult to train, optimize, and fine tune. 

There are still open problems, such as the vanishing gradient and mode collapse in DGMs, which limit their performance. Although there are strategies to minimize the effect of those problems, they remain fundamentally unsolved. In recent years, evolutionary computation (EC) and related bio-inspired techniques (e.g. particle swarm optimization) and in the form of Evolutionary Machine Learning approaches have been successfully applied to mitigate the problems that arise when training DGMs, leveraging the quality of the results to impressive levels. Among other approaches, these new solutions include LLM, GAN, VAE, AR, and SD training methods or fine tuning optimization based on evolutionary and coevolutionary algorithms, the combination of deep neuroevolution with training approaches, and the evolutionary exploration of latent space. 

The workshop on Enhancing Generative Machine Learning with Evolutionary Computation (EGML-EC) aims to act as a medium for debate, exchange of knowledge and experience, and encourage collaboration for researchers focused on DGMs and the EC community. Bringing these two communities together will be essential for making significant advances in this research area. Thus, this workshop provides a critical forum for disseminating the experience on the topic of enhancing generative modeling with EC, presenting new and ongoing research in the field, and to attract new interest from our community.

.Topics of Interest

-Particular topics of interest are (not exclusively):

-Evolutionary prompt optimization for large language models

-Evolutionary operators based on large language models

-Evolutionary and co-evolutionary algorithms to train deep generative models

-EC-based optimization of hyper-parameters for deep generative models

-Neuroevolution applied to train deep generative architectures 

-Dynamic EC-based evolution of deep generative models training parameters

-Evolutionary latent space exploration (e.g. LVEs)

-Real-world applications of EC-based deep generative models solutions 

-Multi-criteria adversarial training of deep generative models

-Evolutionary generative adversarial learning models

-Software libraries and frameworks for deep generative models applying EC

  

All accepted papers of this workshop will be included in the Proceedings of the Genetic and Evolutionary Computation Conference (GECCO'24) Companion Volume.

 

.Important Dates

Submission opening: February 12, 2024

Submission deadline: April 8, 2024

Acceptance notification: May 3, 2024

Camera-ready and registration: May 10, 2024

Workshop date: TBC depending on GECCO program schedule (July 14 or 18, 2024)

 

.Instructions for Authors

We invite submissions of two types of paper:

·     Regular papers (limit 8 pages)

·     Short papers (limit 4 pages)

Papers should present original work that meets the high-quality standards of GECCO. Each paper will be rigorously evaluated in a review process. Accepted papers appear in the ACM digital library as part of the Companion Proceedings of GECCO. Each paper accepted needs to have at least one author registered by the author registration deadline. Papers must be submitted via the online submission system https://ssl.linklings.net/conferences/gecco/. Please refer to https://gecco-2024.sigevo.org/Paper-Submission-Instructions for more detailed instructions. 

As a published ACM author, you and your co-authors are subject to all ACM Publications Policies (https://www.acm.org/publications/policies/toc), including ACM's new Publications Policy on Research Involving Human Participants and Subjects (https://www.acm.org/publications/policies/research-involving-human-participants-and-subjects).

 

Workshop Chairs

 

·         Jamal Toutouh, Univ. of Málaga (ES) – MIT (USA), jamal@lcc.uma.es

·         Una-May O’Reilly, MIT (USA), unamay@csail.mit.edu

·         João Correia, University of Coimbra (PT), jncor@dei.uc.pt

·         Penousal Machado, University of Coimbra (PT), machado@dei.uc.pt

·         Erik Hemberg, MIT (USA), hembergerik@csail.mit.edu

 

More information at:

https://sites.google.com/view/egml-ec2024


[rede.APPIA] Ethics and Responsibility in AI Thematic Track EPIA 2024 — Call for Papers

appiaAdmin
Apologies if you receive multiple copies of this CFP. Please circulate this CFP among your colleagues and students.
====================           CALL FOR PAPERS ==================== EPIA 2024 – ERAI Thematic Track
Ethics and Responsibility in AI epia2024.pt/thematic-tracks/ethics-and-responsibility-in-ai/
EPIA, September 3-6, 2024, Viana do Castelo, Portugal
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Aims and Scope ——————————————————————————–
Growing media attention has exposed critical issues concerning intelligent systems’ efficiency in aiding/automating decisions with direct human/societal impact. As a result, trustworthiness in Artificial Intelligence (AI) is now an unavoidable issue that we must tackle urgently. Massive efforts are in place, especially related to explainability and causality, providing critical insights into how systems behave in specific moments. The aim of the track of Ethics and Responsibility in AI (ERAI) is, firstly, to collect contributions describing innovative approaches to address ethical challenges in AI. Secondly, focusing on trustworthiness, explainability, and interpretability, we also aim to accept contributions on this subject to advance or improve responsibility and accountability in AI. Finally, to address the disparity between the proliferation of research and the need for practical solutions that also focus on social, ethical, and privacy aspects. Real-world applications, from design to implementation level, are welcome.
Submissions are encouraged on a variety of topics related to Ethics and Responsibility in AI including, but not limited to, the following:
•  Trustworthiness, explainability, and interpretability to promote Ethics and Responsibility in AI •  Social, ethical, and privacy aspects of Ethics and Responsibility in AI •  Metrics for evaluating Ethics and Responsibility in AI •  Human in the Loop for Ethics and Responsibility in AI •  Bias challenges in Ethics and Responsibility in AI •  Visualization and interaction strategies •  Applications of Ethics and Responsibility in AI
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Important Dates ——————————————————————————–
Full paper submission (deadline): April 30, 2024 Notification of acceptance: June 15, 2024 Camera ready version, author registration: July 15, 2024
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Submission procedure ——————————————————————————–
Contributions, written in English, must be formatted according to the guidelines of the Lecture Notes of Computer Science (LNCS) series by Springer-Verlag, which are available together with templates here:
www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines.
We strongly recommend using the LNCS template for LaTeX. The page limit for any contribution, including figures, title pages, references, and appendices, is 12 pages in LNCS format. Submission of the camera-ready version of the paper has to include the authors? consent to publish on the above Springer LNCS website.
Authors may not submit any paper which is under review elsewhere or which has been accepted for publication in a journal or another conference; neither will they submit their papers elsewhere during the review period of the thematic track.
Link for the submission site ? epia2024.pt/call-for-papers/
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Venue ——————————————————————————–
Ethics and Responsibility in AI Thematic Track EPIA 2024 will be held in September, 2024 in Viana do Castelo, Portugal.
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Thematic Track Chairs ——————————————————————————–
Catarina Silva, CISUC, University of Coimbra (PT) Nuno Moniz, Lucy Family Institute for Data & Society (USA) Catarina Farinha, Unbabel (PT) Hugo Plácido da Silva, Instituto de Telecomunicações, Instituto Superior Técnico (PT) Georgina Curto Rex, Notre Dame-IBM Technology Ethics Lab (USA) ——————————————————————————–
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Contacts ——————————————————————————–
Catarina Silva, CISUC, University of Coimbra (PT) -catarina@dei.uc.pt Nuno Moniz, Lucy Family Institute for Data & Society (USA), Nuno Moniz nmoniz2@nd.edu ——————————————————————————–
—
Cumprimentos. Catarina Silva
Departamento de Eng. Informática – FCTUC CISUC – Centro de Informática e Sistemas da Universidade de Coimbra IEEE PT Past Chair
— Esta mensagem foi enviada para a rede APPIA, que engloba os associados da APPIA. Se desejar deixar de receber este tipo de mensagens, p.f. envie um email para appia [at] appia [ponto] pt

[rede.APPIA] Data-Centric AI@EPIA 2024 – Call for Papers

appiaAdmin
——————————————————————————– Please distribute (Apologies for cross posting) ——————————————————————————– ——————————————————————————–
CALL FOR PAPERS Data-Centric AI Thematic Track EPIA 2024
epia2024.pt/thematic-tracks/data-centric-ai-solutions-and-emerging-technologies/
EPIA, September 3-6, 2024, Viana do Castelo, Portugal
——————————————————————————– Special Issue ——————————————————————————– The authors of a number of selected papers presented at Data-Centric AI Thematic Track will be invited to submit extended versions of their papers for possible inclusion in a special issue of an international journal. Fast-track processing will be used to have them reviewed and published.
——————————————————————————– Aims and Scope ——————————————————————————–
The Thematic Track “Data-Centric AI – Solutions and Emerging Technologies” addresses practical and theoretical contributions related to the use of Data-Centric AI solutions, focusing on cutting-edge research, methodologies, tools, and applications. We encourage researchers and practitioners to conceptualise solutions that revolve around improving data, not models, to ensure efficient and responsible downstream applications.
Submissions are encouraged on a variety of topics related to Data-Centric AI, including, but not limited to, the following:
– Datasets for Data-Centric development – Data bias mitigation techniques – Data quality assessment and accountability – Data governance and regulatory compliance – Transparent multi-modal data fusion – Explainable data augmentation and outlier detection – Privacy-preserving synthetic data – Data Engineering Prompting – Data Auditing and Evaluation Practice – Data labeling and benchmarking techniques – Human-in-the-loop Data Engineering
——————————————————————————– Important Dates ——————————————————————————–
Full paper submission (deadline): April 30, 2024 Notification of acceptance: June 15, 2024 Camera ready version, author registration: July 15, 2024
——————————————————————————– Submission procedure ——————————————————————————– Contributions, written in English, must be formatted according to the guidelines of the Lecture Notes of Computer Science (LNCS) series by Springer-Verlag, which are available together with templates here:
www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines.
We strongly recommend using the LNCS template for LaTeX. The page limit for any contribution, including figures, title pages, references, and appendices, is 12 pages in LNCS format. Submission of the camera-ready version of the paper has to include the authors? consent to publish on the above Springer LNCS website.
Authors may not submit any paper which is under review elsewhere or which has been accepted for publication in a journal or another conference; neither will they submit their papers elsewhere during the review period of the thematic track.
Link for the submission site ? epia2024.pt/call-for-papers/
——————————————————————————– Venue ——————————————————————————–
Data-Centric AI Thematic Track EPIA 2024 will be held in September, 2024 in Viana do Castelo, Portugal.
——————————————————————————– Thematic Track Chairs ——————————————————————————– Miriam Seoane Santos ? University of Porto, Portugal Ricardo Cardoso Pereira ? Santarém Polytechnic University, Portugal Ana Carolina Lorena ? Aeronautical Technological Institute, Brazil Pedro Henriques Abreu ? University of Coimbra, Portugal ——————————————————————————–
——————————————————————————– Contacts ——————————————————————————– Organizing Committee Contact Person: Miriam Seoane Santos – University of Porto, Portugal – miriam.santos@fc.up.pt
Ricardo Cardoso Pereira – Santarém Polytechnic University, Portugal – ricardo.pereira@esg.ipsantarem.pt ——————————————————————————–
— Esta mensagem foi enviada para a rede APPIA, que engloba os associados da APPIA. Se desejar deixar de receber este tipo de mensagens, p.f. envie um email para appia [at] appia [ponto] pt

[rede.APPIA] Artificial Intelligence in Medicine (AIM@EPIA-2024) – Call for Papers

appiaAdmin
(apologies for cross-posting)

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Artificial Intelligence in Medicine (AIM@EPIA-2024)
Thematic track of the 23st Portuguese Conference on Artificial Intelligence (EPIA 2024)
September 3-6, 2024 – Viana do Castelo, Portugal
Webpage: https://epia2024.pt/
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IMPORTANT DATES
Paper submission: April 30, 2024
Notification of paper acceptance: Jun 9, 2024
Camera ready papers deadline: Jul 15, 2024
Conference dates: September 3-6, 2024

PUBLICATION
– LNCS/LNAI Proceedings (Springer)
–  Authors of selected 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) or in a journal to be indicated by the conference organization.

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 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 / Cognitive 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 EPIA’2024 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.

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, University of Santiago, SP, manuel.fernandez.delgado@usc.es

[rede.APPIA] AI4IS@EPIA 2024 – Call for Papers

appiaAdmin
(apologies for cross-posting)

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CFP: Artificial Intelligence for Industry and Society (AI4IS@EPIA-2024)
Thematic track of the 23rd Portuguese Conference on Artificial Intelligence (EPIA 2024)
September 3-6, 2024, Viana do Castelo, Portugal.
Webpage: https://epia2024.pt/
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IMPORTANT DATES
Paper submission: April 30, 2024
Notification of paper acceptance: June 15, 2024
Camera-ready papers deadline: July 15, 2024
Conference dates: September 3-6, 2024

IMPORTANT NEWS
– LNCS/LNAI Proceedings (Springer)
– A selection of 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 Societies” wants 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 because they are perfectly placed to coalesce smart infrastructures with human needs through community services. Connected and efficient cities and communities can lead to informed, engaged, and contented citizens.
However, in order to have an innovative society, intelligent industries are also required. The concept of Industry 4.0 has been known in connection to the digital transformation of manufacturing-production and related sectors, and in value-creation processes, with Artificial Intelligence (AI) playing a vital role through the automation of processes, prediction and reduction of errors and 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 be holding hands, and this is a truly multi-disciplinary 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, and further enable them to explore new solutions and applications across society and Industry: novelties or/and best practices to be implemented in the real world. The event steps into a new era of technical communication by showing how scientific knowledge can be transferred to society and applied in the Industry using Data Science and AI approaches in topics like “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 related to 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, Textil, 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 (IIoT) – Internet of Things modules, platforms and applications applied to Industry
– Minimizing production scrap
– Minimizing the use of energy and raw materials
– Mimimizing 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
– Smart buildings
– Smart economy
– Smart energy
– Smart garbage and PAYT
– Smart governance
– Smart grids infrastructures
– Smart Living, Wellbeing, and healthcare
– Smart people
– Smart sensing
– Smart Transportations 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’2024 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 AI4IS track of EPIA will be invited to submit extended versions of their manuscripts for a Springer Specia Issue or at other EPIA Fast-Track submission process

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