IMPACT SCORE JOURNAL RANKING CONFERENCE RANKING Conferences Journals Workshops Seminars SYMPOSIUMS MEETINGS BLOG LaTeX 5G Tutorial Free Tools
CfP Journal (SCI IF=2,5) 2019 : Springer/Nature BMC MIDM Explainable AI in Medical Informatics and Decision Support
CfP Journal (SCI IF=2,5) 2019 : Springer/Nature BMC MIDM Explainable AI in Medical Informatics and Decision Support

CfP Journal (SCI IF=2,5) 2019 : Springer/Nature BMC MIDM Explainable AI in Medical Informatics and Decision Support

N/A
Event Date: January 01, 1970 - January 01, 1970
Submission Deadline: March 30, 2019




Call for Papers

Special Collection Springer/Nature BMC Medical Informatics and Decision Support
Full open access SCI-IF = 2,5

Explainable AI in Medical Informatics and Decision Support
Call for papers

Based on a successful workshop on explainable AI during the Cross Domain for Machine Learning and Knowledge Extraction (CD-MAKE) 2018 conference, we launch this call for a special issue at BMC Medical Informatics and Decision Making, with the possibility to present the papers at the next session on explainable AI during the CD-MAKE 2019 conference in Kent (Canterbury, UK) at the end of August 2019.

We want to inspire cross-domain experts interested in artificial intelligence/machine learning to stimulate research, engineering and evaluation in, around and for explainable AI - towards making machine decisions transparent, re-enactive, comprehensible, interpretable, thus explainable, re-traceable and reproducible; the latter is the cornerstone of scientific research per se!

We foster cross-disciplinary and interdisciplinary work including but not limited to:

Novel methods, algorithms, tools for supporting explainable AI
Proof-of-concepts and demonstrators of how to integrate explainable AI into workflows
Frameworks, architectures, algorithms and tools to support post-hoc and ante-hoc explainability and causality machine learning
Theoretical approaches of explainability ("What is a good explanation?")
Towards argumentation theories of explanation and issues of cognition
Comparison Human intelligence vs. Artificial Intelligence (HCI -- KDD)
Interactive machine learning with human(s)-in-the-loop (crowd intelligence)
Explanation User Interfaces and Human-Computer Interaction (HCI) for explainable AI
Novel Intelligent User Interfaces and affective computing approaches
Fairness, accountability and trust
Ethical aspects, law and social responsibility
Business aspects of explainable AI
Self-explanatory agents and decision support systems
Explanation agents and recommender systems
Combination of statistical learning approaches with large knowledge repositories (ontologies)

The grand goal of future explainable AI is to make results understandable and transparent and to answer questions of how and why a result was achieved. In fact: “Can we explain how and why a specific result was achieved by an algorithm?”

Submission for this special issue is open until 30 March 2019. The special issue is overseen by Section Editor Andreas Holzinger.




Credits and Sources

[1] CfP Journal (SCI IF=2,5) 2019 : Springer/Nature BMC MIDM Explainable AI in Medical Informatics and Decision Support


Check other Conferences, Workshops, Seminars, and Events


OTHER EXPLAINABILITY EVENTS

Human-Centred XAI 2024: Enhancing AI Acceptability for Healthcare (IEEE ICHI Workshop)
Orlando, Florida, USA (and Online)
Jun 3, 2024
DEF-AI-MIA 2024: Workshop on Domain adaptation, Explainability, Fairness in AI for Medical Image Analysis & 4th COV19D Competition @ IEEE CVPR 2024
Seattle, USA
Jun 17, 2024
EXTRAAMAS 2024: EXplainable and TRAnsparent AI and Multi-Agent Systems
Auckland, NZ
May 6, 2024
vsi-XAI 2023: Special Section on eXplainable Artificial Intelligence: Methods, Applications, Challenges in Computers & Electrical Engineering Journal, Elsevier
N/A
GENERAL 2023: 1st International Workshop on GENerative, Explainable and Reasonable Artificial Learning
@CHITALY 2023, Turin, Italy
Sep 20, 2023
SHOW ALL

OTHER EXPLAINABLE AI EVENTS

INFFUSXAI 2024: Information Fusion SI: Explainable AI in Industry 4.0 and 5.0
N/A
Jan 29, 2024
AI-DCS 2024: The 1st IEEE International Workshop on Generative, Incremental, Adversarial, Explainable AI/ML in Distributed Computing Systems
Jersey City, New Jersey (USA)
Jul 23, 2024
xAI ST Actionable XAI 2024: xAI World Conference Special Track on Actionable Explainable AI
Valletta, Malta
Jul 17, 2024
XAI-SA 2024: Explainable Machine Learning for Speech and Audio
Seoul, Korea
Apr 15, 2024
KES-IDT (IS07) 2024: 16th International KES Intelligent Decision Technologies conference - Invited Session Responsible and Trustworthy Artificial Intelligence (IS07)
Santa Cruz, Madeira, Portugal
Jun 19, 2024
SHOW ALL

OTHER CAUSALITY EVENTS

CXAI 2023: The ICDM 2023 Workshop on Causal and Explainable AI
Shanghai, China
Dec 4, 2023
CDPD 2023: The 2023 ACM SIGKDD Workshop on Causal Discovery, Prediction and Decision
Long Beach, CA, USA
Aug 7, 2023
CD 2022: The 2022 ACM SIGKDD Workshop on Causal Discovery
Washington DC
Aug 15, 2022
neurips_causalml 2019: NeurIPS 2019 Workshop on Causal Machine Learning
Vancouver
Dec 13, 2019
CABB 2019: Causal Analytics for Bioinformatics and Biomedicine 2019
San diego, US
Nov 21, 2019
SHOW ALL