MC – Page 9 – Portal APPIA

[rede.APPIA] Data-Centric AI Thematic Track EPIA 2024 – CFP — 7 days for the deadline

2024-04-232024-04-23 MC

——————————————————————————– 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] 11th International School on Deep Learning (and the Future of Artificial Intelligence).

2024-04-222024-04-23 MC

Caros/as Colegas,

Divulgamos a summer school DeepLearn 2024 que terá o pólo do LIACC na Universidade da Maia como anfitriã este ano.

O pólo do LIACC na Universidade da Maia será o anfitrião da DeepLearn 2024, 11th International School on Deep Learning (and the Future of Artificial Intelligence), de 15 a 19 de Julho de 2024 (https://deeplearn.irdta.eu/2024/). Desde já contamos com keynote speakers e professores abordando temas e ministrando workshops tais como:

LLMs, text mining & machine reading comprehension
Deep Learning para linguagem e discurso
Multi Agent Teaming
Edge Machine Learning
AutoML
Graph Machine Learning
Sustentabilidade e AI
Explainable Artificial Intelligence (xAI)
Deep networks para visão computacional 3D
Aplicações para as áreas da saúde e medicina

Como novidade, haverá hackathons coordenados pelo Professor Sergei V. Gleyzer (http://sergeigleyzer.com/). Os desafios serão divulgados duas semanas antes do início do DeepLearn 2024, sendo os resultados divulgados no último dia.

A participação do mundo das empresas também é desejável e encorajada. Haverá períodos de 10 minutos para demonstrações e aplicações práticas do Deep Learning no mundo dos negócios. Estas participações deverão enviar uma expressão de interesse em 1 página para david@irdta.eu até 07 de Julho de 2024.

Há também uma open session, para apresentações de 5 minutos de trabalhos em desenvolvimento pelos participantes. Para tal, os interessados deverão enviar um resumo de meia-página contendo título, autores, e sumário da investigação para david@irdta.eu até 07 de Julho de 2024.

Os empregadores que procurem especialistas em deep learning terão um espaço para contactos individuais. Deverão produzir um pdf de 1 página com uma breve descrição da organização e dos perfis que procura para circulação por entre os participantes antes do evento. Este pdf deverá acompanhar uma expressão de interesse a a enviar para david@irdta.eu até 07 de Julho de 2024.

Há condições favoráveis para os afiliados à Universidade da Maia e Universidade do Porto.

Cumprimentos,

O Comité Organizador do DeepLearn 2024

José Paulo Marques dos Santos (Universidade da Maia, local chair)

Carlos Martín-Vide (Universitat Rovira i Virgili, program chair)

José Luís Reis (Universidade da Maia)

Luís Paulo Reis (Universidade do Porto)

Sara Morales (IRDTA, Bruxelas)

David Silva (IRDTA, Londres, organization chair)

https://deeplearn.irdta.eu/2024/

—

Best Regards/Cumprimentos

Luis Paulo Reis

—————————————————————————-

Associate Professor at FEUP – Faculty of Engineering, University of Porto

Director of LIACC – Artificial Intelligence and Computer Science Lab.

Co-Director of LIACD – First Degree on AI and DS (FCUP/FEUP)

Tel. +351 919455251 / skype: luis.paulo.reis

—————————————————————————-

“Don't close your eyes unless you can dream.
Don't open your eyes unless you can believe!”
—————————————————————————-

[rede.APPIA] LUHME: Language Understanding in the Human-Machine Era | Workshop at ECAI 2024

2024-04-192024-04-20 MC

Call for Papers: Language Understanding in the Human-Machine Era (LUHME)

The LUHME 2024 workshop Language Understanding in the Human-Machine Era is part of the 27th European Conference on Artificial Intelligence, ECAI 2024 (https://www.ecai2024.eu/).

Workshop description
Large language models (LLMs) have revolutionized the development of interactional artificial intelligence (AI) systems by democratizing their use. These models have shown remarkable advancements in various applications such as conversational AI and machine translation, marking the undeniable advent of the human-machine era. However, despite their significant achievements, state-of-the-art systems still exhibit shortcomings in language understanding, raising questions about their true comprehension of human languages.
The concept of language understanding has always been contentious, as meaning-making depends not only on form and immediate meaning but also on context. Therefore, understanding natural language involves more than just parsing form and meaning; it requires access to grounding for true comprehension. Equipping language models with linguistics-grounded capabilities remains a complex task, given the importance of discourse, pragmatics, and social context in language understanding.
Understanding language is a doubly challenging task as it necessitates not only grasping the intrinsic capabilities of LLMs but also examining their impact and requirements in real-world applications. While LLMs have shown effectiveness in various applications, the lack of supporting theories raises concerns about ethical implications, particularly in applications involving human interaction.
The “Language Understanding in the Human-Machine Era” (LUHME) workshop aims to reignite the debate on the role of understanding in natural language use and its applications. It seeks to explore the necessity of language understanding in computational tasks like machine translation and natural language generation, as well as the contributions of language professionals in enhancing computational language understanding.

Topics of Interest
Topics of interest include, but are not limited to:
• Language understanding in LLMs
• Language grounding
• Psycholinguistic approaches to language understanding
• Discourse, pragmatics and language understanding
• Evaluation of language understanding
• Multi-modality and language understanding
• Socio-cultural aspects in understanding language
• Effects of language misunderstanding by computational models
• Manifestations of language understanding
• Distributional semantics and language understanding
• Linguistic theory and language understanding by machines
• Linguistic, world, and common sense knowledge in language understanding
• Machine translation and/or interpreting and language understanding
• Human vs. machine language understanding
• Role of language professionals in the LLMs era
• Understanding language and explainable AI

Ethics Statement
Research reported at ECAI and the LUHME workshop should avoid harm, be honest and trustworthy, fair and non-discriminatory, and respect privacy and intellectual property. Where relevant, authors can include in the main body of their paper, or on the reference page, a short ethics statement that addresses ethical issues regarding the research being reported and the broader ethical impact of the work. Reviewers will be asked to flag possible violations of relevant ethical principles. Such flagged submissions will be reviewed by a senior member of the programme committee. Authors may be required to revise their paper to include a discussion of possible ethical concerns and their mitigation.

Submission Instructions
Papers must be written in English, be prepared for double-blind review using the ECAI LaTeX template, and not exceed 7 pages (not including references). The ECAI LaTeX Template can be found at https://ecai2024.eu/download/ecai-template.zip. Papers should be submitted via OpenReview: https://openreview.net/group?id=eurai.org/ECAI/2024/Workshop/LUHME

Excessive use of typesetting tricks to make things fit is not permitted. Please do not modify the style files or layout parameters. You can resubmit any number of times until the submission deadline. The workshop papers will be published in the proceedings (further information will be provided soon).

Important Dates
• Paper submission: 31 May 2024
• Notification of acceptance: 15 July 2024
• Camera-ready papers: 31 July 2024
• LUHME workshop: 19 or 20 October 2024

Invited Speakers
• Alexander Koller, Saarland University
• Anders Søgaard, University of Copenhagen
• Melanie Mitchell, Santa Fe Institute

Organization
This workshop is jointly organized by the chairs of working groups 1 (Computational Linguistics) and 7 (Language work, language professionals) of the COST Action LITHME – Language in the Human-Machine Era.

Workshop Organizers
• Rui Sousa-Silva (University of Porto, Portugal)
• Henrique Lopes Cardoso (University of Porto, Portugal)
• Maarit Koponen (University of Eastern Finland, Finland)
• Antonio Pareja-Lora (Universidad de Alcalá, Spain)
• Márta Seresi (Eötvös Loránd University, Hungary)

Program Committee
• Aida Kostikova (Bielefeld University)
• Alex Lascarides (University of Edinburgh)
• Alípio Jorge (University of Porto)
• António Branco (University of Lisbon)
• Belinda Maia (University of Porto)
• Caroline Lehr (ZHAW School of Applied Linguistics)
• Diana Santos (Universitetet i Oslo)
• Efstathios Stamatatos (University of the Aegean)
• Ekaterina Lapshinova-Koltunski (University of Hildesheim)
• Eliot Bytyçi (Universiteti i Prishtinës “Hasan Prishtina”)
• Hanna Risku (University of Vienna)
• Jörg Tiedemann (University of Helsinki)
• Lynne Bowker (University of Ottawa)
• Nataša Pavlović (University of Zagreb)
• Paolo Rosso (Universitat Politècnica de València)
• Ran Zhang (Bielefeld University)
• Ruslan Mitkov (Lancaster University)
• Sule Yildirim Yayilgan (Norwegian University of Science and Technology)
• Tharindu Ranasinghe (Lancaster University)

For further information, please visit https://luhme.web.uah.es/ or contact rssilva@letras.up.pt

[rede.APPIA] AmIA@EPIA2024 – CALL FOR PAPERS

2024-04-182024-04-20 MC

[Apologies if you receive multiple copies of this CFP]

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AmIA_Environments@EPIA2024 :: CALL FOR PAPERS

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Special Track on Ambient Intelligence and Affective Environments (AmIA

Environments 2024)

23rd Portuguese Conference on Artificial Intelligence – EPIA 2024

EPIA 2024

23rd EPIA Conference on Artificial Intelligence

https://epia2024.pt/

September 3-6, 2024

Viana do Castelo, Portugal

———————————- – – – – – – – – – – – – – – –

Paper submission: April 30, 2024

———————————- – – – – – – – – – – – – – – –

Ambient Intelligence (AmI) is a paradigm emerging from Artificial

Intelligence (AI), where computers are used as proactive tools assisting

people with their day-to-day activities, making everyone’s life more

comfortable.

Affect and social behaviour plays an important role in the development

of Ambient Intelligent Environments. Consideration of aspects like

emotions, mood, personality traits, and attitudes in human-computer,

human-robot, and human-environment interaction, especially insofar as

they provide better or more “natural” support for humans. These

environments should be aware of the needs of people, customizing

requirements and forecasting behaviours.

AmI environments may be highly diverse, such as homes, offices, meeting

rooms, schools, hospitals, control centers, transport facilities,

tourist attractions, stores, sport installations, music devices, etc.

In the Thematic track on AmIA Environments we will create a

multi-disciplinary discussion forum that will bring together researchers

from the different fields addressed discussing issues in Artificial

Intelligence topics included in the Ambient Intelligence and affective

environments. Researchers are welcome to present both theoretical and

practical works as well as the lessons learned with their application in

the varied range of domains. Emphasis will be placed on the presentation

of concrete systems, discussion of implementation and development

challenges and sharing of conclusions achieved and relevant results.

———————————- – – – – – – – – – – – – – – –

CONTRIBUTIONS

———————————- – – – – – – – – – – – – – – –

In order to fulfill these objectives, submissions of substantial,

original and previously unpublished work are invited in all areas of

Ambient Intelligence and Affective environments. The topics of interest

include, but are not limited to:

– Applications

– Ambient Assisted Living

– Ubiquitous Computing

– Artificial Intelligence for AmI

– Intelligent Environments

– Pervasive Computing

– Context Aware Computing

– Agent & Multiagent Systems for AmI

– Mobile Computing

– Sentient Computing

– e-Health

– Mobile Health (mHealth)

– Context Modelling

– AmI for e-Learning

– On-line Dispute Resolution

– Memory Assistant

– Computational models of emotions

– Group Emotion

– Affect and learning

– Artificial characters

– Affect and emotion recognition

– Sensor-based Applications

———————————- – – – – – – – – – – – – – – –

SUBMISSION INSTRUCTIONS and PAPERS FORMAT

———————————- – – – – – – – – – – – – – – –

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 EPIA’2024

submission Website

(https://www.easychair.org/conferences/?conf=epia2024) selecting the

track AmIA – Ambient Intelligence and Affective Environments.

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IMPORTANT DATES

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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

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PUBLICATION

———————————- – – – – – – – – – – – – – – –

Accepted papers will be included in the conference proceedings (Springer

LNAI – Lecture Notes in Artificial Intelligence), provided that at least

one author is registered in EPIA 2024 by the early registration deadline.

Proceedings will be submitted for indexation by ISI Thomson, SCOPUS,

DBLP, EI-Compendex among several other scientific databases.

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ORGANIZING COMMITTEE

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Luís Conceição, Institute of Engineering – Polytechnic of Porto, Portugal (msc@isep.ipp.pt)

Paulo Novais, University of Minho, Portugal (pjon@di.uminho.pt)

Goreti Marreiros, Institute of Engineering – Polytechnic of Porto, Portugal (mgt@isep.ipp.pt)

Sara Rodriguez, University of Salamanca, Spain (srg@usal.es)

João Carneiro, Devoteam, Portugal (joao.carneiro@devoteam.com)

Peter Mikulecky, University of Hradec Kralove (peter.mikulecky@uhk.cz)

Best Regards,

Luís Conceição

Guest Assistant Professor
Department of Informatics Engineering
Research Fellow
GECAD – Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development

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] DaSSWeb – Data Science and Statistics Webinar – 16 April – Matthias Templ – Imputation of missing values revisited

2024-04-122024-04-13 MC

DaSSWeb – Data Science and Statistics Webinar

Tuesday, 16 April, 11:30 (WEST)

Speaker

Matthias Templ

FHNW University of Applied Sciences and Arts Northwestern Switzerland
School of Business
Institute for Competitiveness and Communication

Title

Imputation of missing values revisited

Zoom link

https://videoconf-colibri.zoom.us/j/95200534911

Abstract

This presentation explores imputation techniques for missing values.

It discusses the concepts of common single and multiple imputation methods including modern methods of robust imputation,

imputation based on deep learning and imputation for complex data and it critically review some of the paradigms in imputation literature.

Additionally, the problems of outliers are discussed.

More information at

https://noticias.up.pt/fep/eventos/dassweb-imputation-of-missing-values-revisited/var/ri-.l-L1/

DaSSWeb-Matthias-Templ-16April2024.pdf

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

2024-04-092024-04-10 MC

Dear Colleague(s),

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

Extended deadline: 12 April.

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

———————————————————————-

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 12, 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

Dear Colleague(s),

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

Extended deadline: 12 April.

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

———————————————————————-

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

.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 12, 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)

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] AmIA@EPIA2024 – CALL FOR PAPERS

2024-04-042024-04-05 MC