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ISMIS 2022: International Symposium on Methodologies for Intelligent Systems

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ISMIS
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Día de Entrega:
2022-05-26
Fecha de Notificación:
2022-07-08
Fecha de conferencia:
2022-10-03
Ubicación:
Cosenza, Italy
Ediciones:
26
ICORE: C   QUALIS: B2   Vistas: 25574   Seguidores: 0   Asistentes: 0

Índice Conference Partner (CP-I)

56,1 / 100
Puesto n.º 766 de 5.682 congresos · 14% superior

N.º 60 de 739 en Inteligencia artificial y aprendizaje automático

Reconocimiento académico (35%)
68
Selectividad en la revisión (20%) Sin datos: se puntúa con la línea base neutra de 50 —
Ediciones celebradas (20%)
89
Atención de la comunidad (10%)
8
Integridad del registro público (15%)
25

Datos utilizados: Categorías: ICORE C, QUALIS B2 · Ediciones documentadas: 26 · Investigadores que abrieron esta página en los últimos 24 meses: 2

Falta en el registro público: Tasas de aceptación históricas (+4,5) · Ediciones anteriores (+3,0) · Premios al mejor artículo (+2,3)
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Confianza 80 %: la parte de la puntuación respaldada por datos observados y no por la línea base neutra. Cómo se calcula esta puntuación · Ver la clasificación · Versión del algoritmo 1.1 · Calculado el 2026-09-20

Solicitud de Artículos

ISMIS 2022 (International Symposium on Methodologies for Intelligent Systems) is a ICORE C / QUALIS B2 conference held in Cosenza, Italy on 2022-10-03. The paper submission deadline is 2022-05-26. Acceptance notifications are sent on 2022-07-08.

Overview ISMIS is an established and prestigious conference for exchanging the latest research results in building intelligent systems. It provides a basis for exchanging research results and transferring scientific achievements towards industrial applications. The scope of ISMIS is to present a wide range of topics related to the application of Artificial Intelligence techniques related to areas such as decision support, knowledge representation, logical programming, knowledge-based systems, machine learning, planning, computer vision, information retrieval, configuration and diagnosis. The conference also focuses on interdisciplinary research in AI-related fields, for example, decision support systems and human decision making or recommender systems and human personality, and knowledge-based systems development and cognitive aspects of knowledge understanding. COVID-19 Information Due to the ongoing COVID-19 circumstances around the world, ISMIS 2022 will be a hybrid conference (In presence participation to the conference will be welcomed, but it will be possible to attend it virtually). Conference Scope This year’s conference theme spans over two main directions: “Towards Trustworthy Artificial Intelligence” and “Human-centric Artificial Intelligence”. With this focus, ISMIS2022 aims at contributing to emerging challenges relative to the development of robust, trustworthy AI systems capable of both “understanding” and “be understandable by” humans, adapting to complex real-world environments, and appropriately interacting in complex social settings. The increased relevance of areas such as autonomous driving, intelligent sales assistants, and strategic application domains such as medicine, intelligent maintenance, and eLearning require systems with high accuracy, robustness, accountability, fairness, transparency, interpretability and ethics. ISMIS 2022 is intended to attract individuals who are actively engaged both in theoretical and practical aspects of intelligent systems. The goal is to provide a platform for a useful exchange between theoreticians and practitioners, and to foster the cross-fertilization of ideas. Relevant conference topics include but are not limited to: Explainable AI (XAI) Machine Learning Deep learning Data Mining Recommender Systems Constraint-based systems Autonomous systems Applications (Configuration, Internet of Things, Financial Services, e-Health…) Intelligent user interfaces User Modeling Human computation Causality and Machine Learning Ethics and AI Socially-aware systems Digital libraries Intelligent Agents Information Retrieval Natural Language Processing Knowledge Integration Knowledge Visualization Knowledge Representation Soft Computing Web & Text Mining
Última actualización por Dou Sun el

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