Author: appiaAdmin

[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)

****************************************************************
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)

################################################################################
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/
################################################################################

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

[rede.APPIA] IberSPEECH 2024 (Aveiro, November 11-13, 2024) – CALL FOR PAPERS

appiaAdmin

IberSPEECH’2024 will be held in Aveiro (Portugal), from 11 to 13 November 2024. The IberSPEECH event –the seventh of its kind using this name– brings together the XIII Jornadas en Tecnologías del Habla and the IX Iberian SLTech Workshop events.

Following with the tradition of previous editions, IberSPEECH’2024 will be a three-day event, planned to promote interaction and discussion. There will be a wide variety of activities: technical papers presentations, keynote lectures, presentation of projects, laboratories activities, recent PhD thesis, entrepreneurship & discussion panels, and awards to the best thesis and papers.

You can find all the information at https://iberspeech.tech.

Important Dates

Regular Papers

Submission opens: June 14th, 2024
Submission abstract deadline: July 12th, 2024
Submission full paper deadline: July 19th, 2024
Paper notifications sent: September 20th, 2024
Camera-ready paper due: September 29th, 2024

Special Sessions (including Projects, Demos, PhD Theses & Entrepreneurship)

Special Sessions proposals: end of April 2024

Contributions: October 7th, 2024
Full-Paper: October 14th, 2024

Albayzin Evaluations 2024

Selection of evaluation proposals: April 19th, 2024

Opening of registration for the evaluation: May 20th, 2024

Release of training and development data: June 3rd, 2024

Registration deadline for the evaluation: July 31st ,2024

Release of evaluation data: September 2nd ,2024

Deadline for the submission of system outputs: October 18th, 2024

System results distributed to participants: October 31st, 2024

Official results presented publicly and published: November 12th, 2024

IberSPEECH 2024 Albayzin Evaluations special session in Aveiro: November 12th, 2024

Conference IBERSPEECH’2024

Conference Starts: Monday, November 11th, 2024
Conference Ends: Wednesday, November 13th, 2024

Topics

The topics of interest regarding processing Iberian languages include, but are not limited to:

1. Speech technology and applications

1. Spoken language generation and synthesis

2. Speech and speaker recognition

3. Speaker diarization

4. Speech enhancement

5. Speech processing and acoustic event detection

6. Spoken language understanding

7. Spoken language interfaces and dialogue systems

8. Systems for information retrieval and information extraction from speech

9. Systems for speech translation

10. Applications for aged and handicapped persons

11. Applications for learning and education

12. Emotions recognition and synthesis

13. Language and dialect identification

14. Applications for learning and education

15. Speech, Voice, and Hearing Disorders

16. Speech technology and applications: other topics

2. Human speech production, perception, and communication

1. Linguistic, mathematical, and psychological models of language

2. Phonetics, phonology, and morphology

3. Pragmatics, discourse, semantics, syntax, and lexicon

4. Paralinguistic and non-linguistic cues (e.g. emotion and expression)

5. Human speech production, perception, and communication: other topics

3. Natural language processing (NLP) and applications

1. Natural language generation and understanding

2. Retrieval and categorization of natural language documents

3. Summarization mono and multi-document

4. Extraction and annotation of entities, relations, and properties

5. Creation and processing of ontologies and vocabularies

6. Machine learning for natural language processing

7. Shallow and deep semantic analysis: textual entailment, anaphora resolution, paraphrasing

8. Multi-lingual processing for information retrieval and extraction

9. Natural language processing for information retrieval and extraction

10. Natural language processing (NLP) and applications: other topics

4. Speech, Language and Multimodality

1. Multimodal Interaction

2. Sign Language

3. Handwriting recognition

4. Audiovisual language processing

5. Speech, Language and Multimodality: other topics

5. Resources, standardization, and evaluation

1. Spoken language resources, annotation, and tools

2. Spoken language evaluation and standardization

3. NLP resources, annotation, tools

4. NLP evaluation and standardization

5. Multimodal resources, annotation, and tools

6. Multimodal evaluation and standardization

7. Resources, standardization, and evaluation: other topics

 

Paper Submission

Regular Papers must be written in English and submission will be online. Papers must be submitted in PDF following the Interspeech 2024 format (more information at https://interspeech2024.org/author-resources/ ). Papers can have a maximum of 5 pages with the 5th page reserved exclusively for references and acknowledgments. There is no minimum length requirement for papers of the special sessions project review and demos. Aligned with Interspeech adoption of “Double-blind review”, IberSPEECH submissions must be blind.

Upon acceptance, at least one author per paper will be required to register (full & early) and present the paper at the conference.

 

Committees

 

General Chairs

Antonio Teixeira, Universidade de Aveiro, Portugal

Carlos David Martínez Hinarejos, Universitat Politècnica de València, Spain

 

Technical Program Chair

Eduardo Lleida, Universidad de Zaragoza, Spain

 

Technical Program Co-Chairs

Carmen Garcia Mateo, U Vigo, Spain

Eva Navas, University of the Basque Country, UPV- EHU, Spain

José Andrés González López, Universidad de Granada, Spain

Francesc Alías Pujol, La Salle — Universitat Ramon LLull, Spain

Samuel Silva, Universidade de Aveiro, Portugal

Luis Fernando D’Haro, UPM, Spain

 

Special Sessions Chairs

Dayana Ribas, University of Zaragoza, Spain

 

Evaluation Chairs

Eduardo Lleida Solano, ViVoLab, Universidad de Zaragoza, Spain

Alfonso Ortega Giménez, ViVoLab, Universidad de Zaragoza, Spain

Luis Javier Rodríguez Fuentes, GTTS, Universidad del País Vasco, Spain

Javier Tejedor Noguerales, BIOLAB, Universidad San Pablo CEU, Spain

Doroteo Torre Toledano, AUDIAS, Universidad Autónoma de Madrid

 

Local Committee

Catarina Oliveira, Universidade de Aveiro, Portugal

Samuel Silva, Universidade de Aveiro, Portugal

Ana Rocha, Universidade de Aveiro, Portugal

Nuno Almeida, Universidade de Aveiro, Portugal

Bernardo Marques, Universidade de Aveiro, Portugal

Mário Rodrigues, Universidade de Aveiro, Portugal

Fábio Barros, Universidade de Aveiro, Portugal (Webmaster)

Gabriel Silva, Universidade de Aveiro, Portugal