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| When: May 7, 2022 - Jan 31, 2023 Submission Deadline: Jun 30, 2022 | ||
| The topics are related to but not limited to the following: • 1. Disruptive AI Technologies for Industrial Cyber Security • 2. Explainable AI for Mitigating Cyber Security Threats in Indu... | ||
| CYBER SECURITY EXPLAINABLE AI ARTIFICIAL INTELLIGENCE INDUSTRIAL CYBER SECURITY | ||
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| When: Oct 13, 2022 - Oct 16, 2022 Submission Deadline: Jun 1, 2022 | ||
| Call for Papers • Practical applications of explainable artificial intelligence methods special session at DSAA 2022 • Shenzhen, China, 13th -16th October, 2022 (Virtual and Onsite) &bul... | ||
| EXPLAINABLE AI MACHINE LEARNING DATA MINING XAI | ||
XA2ITS 2022 : Edited Book: Explainable AI for Intelligent Transportation SystemsTaylor & Francis Group |
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| When: Dec 31, 2022 - Dec 31, 2022 Submission Deadline: Sep 30, 2022 | ||
| Explainable Artificial Intelligence (XAI) is an emergent research field that aims to make AI and deep models’ outcomes more human-interpretable without scarifying performance. It holds the potentia... | ||
| INTELLIGENT TRANSPORTATION SYS EXPLAINABLE ARTIFICIAL INTELLI INTERPRETABLE MACHINE LEARNING DEEP LEARNING | ||
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| When: Sep 1, 2022 - Sep 3, 2022 Submission Deadline: Jun 25, 2022 | ||
| ================================================================================ • WOA 2022 • 23rd edition of the Workshop “From Objects to Agents” (WOA) • Genova, Italy, 1-3 Se... | ||
| ARTIFICIAL INTELLIGENCE MULTI-AGENT SYSTEMS EXPLAINABLE AI HUMAN-AGENT INTERACTION | ||
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| Submission Deadline: Dec 31, 2022 | ||
| The ushering of Artificial Intelligence (AI) in our everyday life has already stimulated rich discussions with, on the one hand, enthusiastic forecasts about how AI technologies will support human ac... | ||
| HUMAN CENTERED AI HUMAN IN THE LOOP EXPLAINABLE AI ARTIFICIAL INTELLIGENCE | ||
 TAI-RM 2022 : The First International Workshop on Trustworthy AI for the Future of Risk ManagementBelfast, Norther Ireland, UK |
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| When: Jun 14, 2022 - Jun 14, 2022 Submission Deadline: Mar 1, 2022 | ||
| The First International Workshop on Trustworthy AI for the Future of Risk Management • TAI-RM 2022 • In association with WoWMoM 2022 (https://computing.ulster.ac.uk/WoWMoM2022/index.html)... | ||
| ARTIFICIAL INTELLIGECNE TRUSTWORTHY AI EXPLAINABLE AI RISK MANAGEMENT | ||
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| When: Feb 3, 2022 - Feb 3, 2022 Submission Deadline: Mar 1, 2022 | ||
| The February Enterprise Data & AI featured guest speaker is John Power, Chief Data & Analytics Officer at Equifax (Europe) and his presentation "Insights Learned on Explainable AI in a Global Data En... | ||
| ARTIFICIAL INTELLIGENCE MACHINE LEARNING DATA FINANCE | ||
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| When: Jul 18, 2020 - Jul 18, 2020 Submission Deadline: Jun 20, 2020 | ||
| Over the years, ML models have steadily grown in complexity, gaining predictivity often at the expense of interpretability. An active research area called explainable AI (or XAI) has emerged with the ... | ||
| MACHINE LEARNING ARTIFICIAL INTELLIGENCE | ||
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| When: Sep 22, 2020 - Sep 25, 2020 Submission Deadline: May 03, 2020 | ||
| The CodiEsp sub-tracks: • 1.CodiEsp Diagnosis Coding sub-task (CodiEsp-D): will require automatic ICD10-CM [CIE10 Diagnóstico] code assignment. • 2.CodiEsp Procedure Codin... | ||
| MACHINE LEARNING NATURAL LANGUAGE PROCESSING DATA MINING MEDICAL INFORMATICS | ||
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| When: Sep 22, 2019 - Sep 25, 2019 Submission Deadline: Sep 4, 2019 | ||
| Workshop date: September 22, 2019 • Workshop Location: Automotive UI ‘19; Utrecht. See: https://www.auto-ui.org/19/ • Workshop web site: https://sites.google.com/view/explainableai-autou... | ||
| COMPUTER SCIENCE ARTIFICIAL INTELLIGENCE HCI TRANSPORTATION | ||
AI/ML Digital Pathology 2019 : AI/Machine Learning for Digital PathologyLNAI Book project |
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| Submission Deadline: Sep 30, 2019 | ||
| Papers are sought cross-domain from Artificial Intelligence/Machine Learning for Digital Pathology, including but not limited to (list not yet complete, in no order): • Weakly supervised learnin... | ||
| AI MACHINE LEARNING EXPLAINABLE AI DIGITAL PATHOLOGY | ||
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| When: Oct 29, 2019 - Oct 29, 2019 Submission Deadline: Sep 3, 2019 | ||
| ** Paper deadline: September 3rd, 2019 ** • This workshop will be held as part of the 12th International Conference on Natural Language Generation (INLG2019), October 29 - November 1, Tokyo, Jap... | ||
| FUNDAMENTALS EXPLAINABLE AI EXPLAINABLE MODELS FOR NLG FUNDAMENTALS OF EXPLAINABLE AI HMI FOR EXPLAINABLE AI | ||
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| When: Sep 8, 2019 - Sep 12, 2019 Submission Deadline: Apr 12, 2019 | ||
| The ICCBR 2019 Organizers, Advisory Committee, and Program Committee invite submissions of original theoretical research, applied research and deployed application papers on all aspects of Case-Based ... | ||
| CASE-BASED REASONING EXPLAINABLE AI CBR SYSTEMS EXPERIENCE MANAGEMENT | ||
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| Submission Deadline: Mar 30, 2019 | ||
| 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 fo... | ||
| EXPLAINABILITY EXPLAINABLE AI CAUSALITY TRANSPARENT MACHINE LEARNING | ||
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| When: Aug 26, 2019 - Aug 29, 2019 Submission Deadline: Apr 22, 2019 | ||
| In line with the general theme of the CD-MAKE conference of augmenting human intelligence with artificial intelligence, and Science is to test crazy ideas – Engineering is to bring these ideas into ... | ||
| EXPLAINABILITY CAUSALITY EXPLAINABLE AI TRANSPARENT MACHINE LEARNING | ||
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| When: Aug 26, 2019 - Aug 29, 2019 Submission Deadline: Apr 22, 2019 | ||
| Call for Papers 2019 • 3rd International Cross Domain Conference for • Machine Learning & Knowledge Extraction (CD-MAKE 2019) • CD-MAKE is a joint effort of IFIP TC 5, TC 12, IFIP WG... | ||
| ARTIFICIAL INTELLIGENCE MACHINE LEARNING KNOWLEDGE EXTRACTION EXPLAINABLE AI | ||
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| When: Jul 5, 2019 - Jul 7, 2019 Submission Deadline: Jan 14, 2019 | ||
| • --------------------------CALL FOR PAPERS------------------------- • ==================================================================== • AI4H:B2E 2019 - IEEE Special Track on Ar... | ||
| EXPLAINABLE AI MODELS DEEP LEARNING KNOWLEDGE MANAGEMENT OF HEALTH NEURAL NETWORKS IN MEDICINE | ||
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