Tuesday, 5 November, 14:30 (GMT)
Speaker
Peter Flach
School of Computer Science, University of Bristol, UK
Title
Explainable Artificial Intelligence, Explained
Zoom link
Abstract
More information at
Tuesday, 5 November, 14:30 (GMT)
Speaker
Peter Flach
School of Computer Science, University of Bristol, UK
Title
Explainable Artificial Intelligence, Explained
Zoom link
Abstract
More information at
Below you will find the Last call for papers for EvoStar 2025.
Deadline: November 1, 2024
Feel free to distribute and thank you for your time. Apologies for the cross-posting.
Best regards,
João Correia
EvoStar Publicity Chair
———————————————————————-
Call for papers for the EvoStar 2025 conference
Submission Deadline: November 1, 2024
Conference: 23 to 25 April 2025.
Venue: Trieste, Italy
News:
** EvoAPPs Special Sessions
.30 years of Particle Swarm Optimization
.Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications
.Applications of Bioinspired Techniques on Social Networks
.Bioinspired Algorithms for Green Computing and Sustainable Complex Systems
.Computational Intelligence for Sustainability
.EvoLLMs: Integrating Evolutionary Computing with Large Language Models (LLMs)
.Evolutionary Computation and Machine Learning in Humanitarian Logistics and Disaster Forecasting
.Evolutionary Computation in Edge, Fog, and Cloud Computing
.Evolutionary Computation in Image Analysis, Signal Processing and Pattern Recognition
.Machine Learning and AI in Digital Healthcare and Personalized Medicine
.Resilient Bio-Inspired Algorithms
.Soft Computing Applied to Games
More information at:
https://www.evostar.org/2025/evoapps/
** 4th special joint track on Evolutionary Machine Learning
This joint track, evoapps + eurogp, on Evolutionary Machine Learning (EML) will provide a specialised forum for discussion and exchange of information for researchers interested in exploring approaches that combine nature and nurture with the long-term goal of evolving Artificial Intelligence (AI)
https://www.evostar.org/2025/eml/
Please distribute
(Apologies for cross-posting)
————————————————
EvoStar comprises four co-located conferences run each spring at different locations throughout Europe. These events arose out of workshops originally developed by EvoNet, the Network of Excellence in Evolutionary Computing, established by the Information Societies Technology Programme of the European Commission, and they represent a continuity of research collaboration stretching back over 20 years.
EvoStar is organised by SPECIES, the Society for the Promotion of Evolutionary Computation in Europe and its Surroundings. This non-profit academic society is committed to promoting evolutionary algorithmic thinking, with the inspiration of parallel algorithms derived from natural processes. It provides a forum for information and exchange.
The four conferences include:
– EuroGP 28th European Conference on Genetic Programming
http://www.evostar.org/2025/eurogp/
– EvoApplications 28th European Conference on the Applications of Evolutionary and bio-inspired Computation
http://www.evostar.org/2025/evoapps/
– EvoCOP 25th European Conference on Evolutionary Computation in Combinatorial Optimisation
http://www.evostar.org/2025/evocop/
– EvoMUSART 14th International Conference (and 18th European event) on Artificial Intelligence in Music, Sound, Art and Design.
http://www.evostar.org/2025/evomusart/
*** Important Dates, Venue and Publication ***
Submission Deadline: November 1, 2024
Conference: 23 to 25 April 2025.
Venue: Trieste, Italy
All accepted papers will be printed in the proceedings published by Springer Nature in the Lecture Notes in Computer Science (LNCS) series.
Please check the website for more information:
http://www.evostar.org/2025/
And follow us at:
X – https://x.com/EvostarConf
Instagram – https://www.instagram.com/evostarconference/
Follow SPECIES at:
https://www.linkedin.com/company/species-society/
Urbanization has modernized life, but it has also caused problems such as traffic congestion, energy consumption, and pollution. Urban computing aims to solve these problems using data generated by the city or opportunistic data obtained through crowdsourcing (e.g., traffic flow, human mobility, geospatial data). It integrates urban sensing, data management, analysis and service provision to continuously improve urban life, urban operations and the environment. Urban computing is interdisciplinary, merging computer science with fields such as civil engineering (e.g., transportation engineering), and sociology.
Smart environments are expanding from artefacts to smart cities, encompassing various urban activities. To understand and optimize urban mobility and human behaviour, machine learning models have been proposed. Smart mobility, or smart transport, is a vital component of smart cities, which use information and communications technologies (ICT) to reduce road accidents, energy consumption, CO2 emissions, noise and congestion. It represents a revolution in intelligent transport systems (ITS), intending to reduce traffic-related greenhouse gas emissions and economic losses due to congestion. Urban Computing covers a wide range of topics, including smart city applications, urban sensing, and spatial analytics. This thematic issue invites contributions focused on innovative methodologies for analyzing and predicting mobility patterns using diverse data sources like GPS traces, mobile phone data, transit logs, and social media feeds.
Potential topics of interest include but are not limited to:
Urban Computing
Mobility Pattern Analysis
Intelligent Transport Systems
Ubiquitous Transport Technologies and Ambient Intelligence
Volunteered Geographic Information
Behaviour Modelling
Smart Mobility in Smart Cities
Machine Learning in Mobility
Opportunistic Data Crowdsourcing
Emerging Mobility Services
On-Demand Shared Mobility Services
Emerging Mobility Technologies
Below you will find the 3rd call for papers for EvoStar 2025.
Deadline: November 1, 2024
Feel free to distribute and thank you for your time. Apologies for the cross-posting.
Best regards,
João Correia
EvoStar Publicity Chair
———————————————————————-
Call for papers for the EvoStar 2025 conference
Submission Deadline: November 1, 2024
Conference: 23 to 25 April 2025.
Venue: Trieste, Italy
News:
** EvoAPPs Special Sessions
.30 years of Particle Swarm Optimization
.Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications
.Applications of Bioinspired techniques on Social Networks
.Bioinspired Algorithms for Green Computing and Sustainable Complex Systems
.Computational Intelligence for Sustainability
.EvoLLMs: Integrating Evolutionary Computing with Large Language Models (LLMs)
.Evolutionary Computation and Machine Learning in Humanitarian Logistics and Disaster Forecasting
.Evolutionary Computation in Edge, Fog, and Cloud Computing
.Evolutionary Computation in Image Analysis, Signal Processing and Pattern Recognition
.Machine Learning and AI in Digital Healthcare and Personalized Medicine
.Resilient Bio-Inspired Algorithms
.Soft Computing Applied to Games
More information at:
https://www.evostar.org/2025/evoapps/
** 4th special joint track on Evolutionary Machine Learning
This joint track, evoapps + eurogp, on Evolutionary Machine Learning (EML) will provide a specialised forum for discussion and exchange of information for researchers interested in exploring approaches that combine nature and nurture with the long-term goal of evolving Artificial Intelligence (AI)
https://www.evostar.org/2025/eml/
Please distribute
(Apologies for cross-posting)
————————————————
EvoStar comprises four co-located conferences run each spring at different locations throughout Europe. These events arose out of workshops originally developed by EvoNet, the Network of Excellence in Evolutionary Computing, established by the Information Societies Technology Programme of the European Commission, and they represent a continuity of research collaboration stretching back over 20 years.
EvoStar is organised by SPECIES, the Society for the Promotion of Evolutionary Computation in Europe and its Surroundings. This non-profit academic society is committed to promoting evolutionary algorithmic thinking, with the inspiration of parallel algorithms derived from natural processes. It provides a forum for information and exchange.
The four conferences include:
– EuroGP 28th European Conference on Genetic Programming
http://www.evostar.org/2025/eurogp/
– EvoApplications 28th European Conference on the Applications of Evolutionary and bio-inspired Computation
http://www.evostar.org/2025/evoapps/
– EvoCOP 25th European Conference on Evolutionary Computation in Combinatorial Optimisation
http://www.evostar.org/2025/evocop/
– EvoMUSART 14th International Conference (and 18th European event) on Artificial Intelligence in Music, Sound, Art and Design.
http://www.evostar.org/2025/evomusart/
*** Important Dates, Venue and Publication ***
Submission Deadline: November 1, 2024
Conference: 23 to 25 April 2025.
Venue: Trieste, Italy
All accepted papers will be printed in the proceedings published by Springer Nature in the Lecture Notes in Computer Science (LNCS) series.
Please check the website for more information:
http://www.evostar.org/2025/
And follow us at:
X – https://x.com/EvostarConf
Instagram – https://www.instagram.com/evostarconference/
Follow SPECIES at:
https://www.linkedin.com/company/species-society/
Tuesday, 15 October, 14:30 (WEST)
Speaker
Gilbert Saporta
CNAM, Paris, France
Title
Zoom link
Abstract
We propose sparse variants of correspondence analysis (CA) for large contingency tables like documents-terms matrices used in text mining. By seeking to obtain many zero coefficients, sparse CA remedies to the difficulty of interpreting CA results when the size of the table is large. Since CA is a double weighted PCA (for rows and columns) or a weighted generalized SVD, we adapt known sparse versions of these methods with specific developments to obtain orthogonal solutions and to tune the sparseness parameters. We distinguish two cases depending on whether sparseness is asked for both rows and columns, or only for one set.
More information at