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ISMIS 2024 : 27th International Symposium on Methodologies for Intelligent Systems

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Conference Series : International Syposium on Methodologies for Intelligent Systems
 
Link: https://ismis2024.ensma.fr/
 
When Jun 17, 2024 - Jun 19, 2014
Where POITIERS
Submission Deadline Jan 25, 2024
Notification Due Mar 15, 2024
Final Version Due Mar 31, 2024
Categories    intelligent systems   artificial intelligence   machine learning   ai applications
 

Call For Papers

ISMIS 2024 -- 27th International Symposium on Methodologies for Intelligent Systems
https://ismis2024.ensma.fr/
June 17 – 19, 2024
Poitiers, France

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 and socio-economic applications. The scope of ISMIS is to present a wide range of topics related to the application of Artificial Intelligence (AI) techniques related to areas such as decision support, knowledge-based systems, machine learning, robotics, planning, computer vision, databases, information retrieval, configuration, and diagnosis. The conference also focuses on interdisciplinary research in AI-related fields, for example, decision support systems, human decision-making, recommender systems and personalization, knowledge-based systems development, cognitive aspects of knowledge understanding.

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Conference Scope
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This year’s conference theme spans over two main directions: “the concepts and metrics to evaluate the explainability of AI systems” and “the principles of responsible AI". With this focus, ISMIS 2024 aims at contributing to emerging challenges relative to the development of a new generation of fair and ethical AI systems capable of both “understanding” and “be understandable by” humans, adapting to complex real-world environments, appropriately interacting in complex social settings, mitigating possible cyber-threats and vulnerabilities, and aligning with Environmental, Social and Governance principles. The increased relevance of areas such as Autonomous Systems, Financial Services and Cybersecurity, and sensitive application domains such as Medicine, Manufacturing, Education, Earth Observation, Intelligent Maintenance and Military require systems with high accuracy, robustness, accountability, fairness, privacy/security, transparency, interpretability, and ethics.
ISMIS 2024 is intended to attract academics, researchers and practitioners 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)
Responsible AI
Security, Privacy and Ethics in AI
Machine Learning (Robustness, Trustworthiness, Biases, Uncertainty …)
Multi-Instance, Multi-Label and Multi-Task Learning
Deep Learning, Neural Networks
Causality and Machine Learning
Anomaly Detection
Data Mining
Recommender Systems
Constraint-based Systems
Autonomous Systems (UAVs, Robots, Agents …)
Applications (Configuration, Internet of Things, Smart Cities, Healthcare, Music Information Retrieval, Games, Archeology, Earth Observing Systems, Business Process Management, …)
Intelligent User Interfaces
User Modeling
Human Computation
Socially-aware Systems
Intelligent Agent Technology
Intelligent Data Processing and Analytics
Intelligent Information Retrieval
Natural Language Processing
Knowledge Integration and Aggregation
Knowledge Visualization
Knowledge Representation
Soft Computing
Web & Text Mining
Digital Libraries
Urban Traffic Control and Mobility

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Ethics
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Ethics is one of the most important topics to emerge in machine learning and data mining. We ask you to think about the ethical implications of your submission such as, e.g., related to the collection and processing of personal data, the inference of personal information, or the potential sensitive use of your work. which will be taken into consideration by the reviewers. As part of your submission, you are invited to include, if applicable, an ethical statement that discusses any ethical implications of your work.

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Dual Submission Policy
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Papers submitted should report original work. Papers that are identical or substantially similar to papers that have been published or submitted elsewhere may not be submitted to ISMIS, and the organizers will reject such papers without review. Authors are also not allowed to submit their papers elsewhere during the review period. Submitting unpublished technical reports available online (such as on arXiv), or papers presented in workshops without formal proceedings, is allowed.

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Authorship
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The author list as submitted with the paper is considered final. No changes to this list may be made after paper submission, either during the reviewing period or, in case of acceptance, at the final camera-ready stage.

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Important dates
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All deadlines are at 11:59pm in the Anywhere on Earth time zone.
Paper Submission: January 25, 2024
Notification of Acceptance: March 15, 2024
Camera-ready version: March 31, 2024
Author registration/payment deadline: March 31, 2024
Non-author early registration/payment deadline: April 30, 2024
Non-author late registration/payment deadline: May 31, 2024
ISMIS’2024 conference date: June 17-19, 2024

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Paper submission guidelines
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Authors are invited to submit their original unpublished papers that demonstrate current research on one of the session topics of interest. Papers should be prepared in PDF form using the Springer LNCS/LNAI style (max 10 pages) and submitted via https://easychair.org/conferences/submissions?a=31739665
All submitted papers will be reviewed by ISMIS PC members.

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Paper publication
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The ISMIS'2024 proceedings will be published by Springer in Lecture Notes in Artificial Intelligence.
Authors of the best papers (up to 12) will be invited to submit their extended versions
to the ***Special ISMIS 2024 Track of the Journal of Intelligent Information Systems (JIIS)*** published by Springer.

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