Conférences  >  Informatique  >  Soft computing, algorithmes évolutionnaires, domaine des métaheuristiques, logique floue

FCTA is part of IJCCI, the 13th International Joint Conference on Computational Intelligence

Fuzzy computation is a field that encompasses the theory and application of fuzzy sets and fuzzy logic to the solution of information processing, systems analysis and synthesis problems. Bolstered by information technology developments, the extraordinary growth of fuzzy computation in recent years has led to major applications in fields ranging from medical diagnosis and automated learning to image understanding, decision and systems control. This conference intends to be a major forum for scientists, engineers and practitioners interested in the study, analysis, design, modeling and implementation of fuzzy systems, both theoretically and in a broad range of application fields.

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

This Dagstuhl Seminar aims to unify the international research on resilient and antifragile autonomous systems (RAAS), leading to faster scientific advancements and industrial adoption. To that end, the seminar wants to bring together leading researchers and practitioners with expertise in autonomous system resilience, antifragility, safety, and ethics from disciplines including Computer Science, Computational Biology, and Ethics, to share and discuss each other’s understanding of, methods for, and open challenges related to RAAS.

resilience, antifragility, autonomous systems, AI, safety, ethics and assurance of autonomous systems

Robotique, automation & mécatronique,    Mise en œuvre et applications de l'intelligence artificielle

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

The ability to identify causal relationships in spatial data is increasingly important for designing effective policy interventions in environmental science, epidemiology, urban planning, and traffic management. Current spatial data analytic methods rely mainly on descriptive and predictive methods that lack explicit causal models. Spatial causal inference offers a promising solution to address this challenge by extending causal inference methodologies to spatial domains. However, this translation is challenging due to spatial effects that violate fundamental assumptions of causal inference. Spatial causal inference is therefore still in its infancy, and there is a pressing need to accelerate its theoretical development and support its adoption with a well-grounded methodological toolset. This requires an interdisciplinary exchange of ideas, as researchers in different fields, such as environmental sciences, spatial statistics, theoretical GIScience, and machine learning, are making significant but disparate efforts in the foundations of spatial causal inference. To address these challenges, we convene the first Dagstuhl Seminar on Causal Inference for Spatial Data Analytics.

Evénement multidisciplinaires ou générales en informatique,    Reconnaissance de formes et traitement d'image, vision par ordinateur

Banff International Research Station for Mathematical Innovation and Discovery (BIRS)

In this workshop we aim at gathering the leading experts in the fields of reaction-diffusion equations and geometric flows, as well as promising young researchers, in order to increase the interactions between the different communities.

Schloss Dagstuhl - Leibniz-Zentrum für Informatik

Randomized optimization heuristics (ROHs) are general-purpose solvers that are frequently applied for discrete or continuous optimization when other classes of solvers fail or are not applicable. Typical examples of ROHs include genetic algorithms, evolution strategies, and estimation-of-distribution algorithms (EDAs). Since ROHs are not designed with a proof or analysis in mind, their theoretical analysis is a particularly challenging endeavor. Yet, their practical success, extremely wide applicability, and growing relevance in many domains in industry and academic research push for progress in their understanding. This Dagstuhl Seminar is part of a very successful Dagstuhl Seminar series with the goal of driving this research area forward.

Association for Computing Machinery (ACM)

The Genetic and Evolutionary Computation Conferences present the latest high-quality results in the growing field of genetic and evolutionary computation. Topics include: genetic algorithms, genetic programming, evolution strategies, evolutionary programming, real-world applications, learning classifier systems and other genetics-based machine learning, evolvable hardware, artificial life, adaptive behavior, ant colony optimization, swarm intelligence, biological applications, evolutionary robotics, coevolution, artificial immune systems, and more.

The IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) is the leading forum to share the latest research results, ideas and experiences in autonomic computing, self-adaptation and self-organization. Now in its 5th edition, ACSOS was founded in 2020 as a merger of the IEEE International Conference on Autonomic Computing (ICAC) and the IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO).

ETPUB

2024 11th International Conference on Soft Computing & Machine Intelligence will be held in Melbourne, Australia during November 22-23, 2024.

Email.: helen@academic.net

Artificial Intelligence and Machine Learning; Data Mining and Knowledge Discovery; Probabilistic Reasoning and Uncertainty; Intelligent Control and Robotics; Computer Vision and Information Retrieval;