Second Call for Papers
The 17th Workshop on Innovative Use of NLP for Building Educational
Applications (BEA17)
Seattle/Hybrid
Friday, July 15, 2022
(co-located with NAACL 2022)
https://sig-edu.org/bea/current
*Submission Deadline: Friday, April 1, 2022, 11:59pm UTC-12*
WORKSHOP DESCRIPTION
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** 2nd CALL FOR PAPERS **
The 12th Workshop on Uncertainty Processing
W U P E S ' 22
Kutná Hora, Czechia, June 1 - 4, 2022
http://wupes.utia.cas.cz/2022/
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Apologies for cross-posting. Appreciate if you can distribute this CFP
to your network.
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MIC 2022 - 14th Metaheuristics International Conference
11-14 July 2022, Ortigia-Syracuse, Italy
https://www.ANTs-lab.it/mic2022/
mic2...@ants-lab
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CALL FOR PAPERS
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HLPP 2022
The 15th International Symposium on
High-level Parallel Programming and Applications
Porto, Portugal, 7-8 July, 2022
https://hlpp2022.dcc.fc.up.pt/
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Aims and scope of HLPP
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As processor and s
M-PREF13: CALL FOR PAPERS
13th Multidisciplinary Workshop on Advances in Preference Handling
July 23 or 24, 2022, Vienna, Austria, in conjunction with IJCAI-ECAI2022
Workshop websi
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CALL FOR PAPERS
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HLPP 2022
The 15th International Symposium on
High-level Parallel Programming and Applications
Porto, Portugal, 7-8 July, 2022
https://hlpp2022.dcc.fc.up.pt/
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Aims and scope of HLPP
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As processor and s
IEEE ITSC 2022 Workshop on Dependable and Reliable Artificial Intelligence
for Intelligent Transportation System
*Homepage: *https://itsc22-drai.github.io/
*Submission deadline*: March 31, 2022
Dear Colleagues,
We are organizing a workshop entitled “Depend
Workshop on Adaptive and Personalized Privacy and Security (APPS 2022) - ACM
UMAP Workshop
CALL FOR PAPERS
The Fourth International Workshop on Adaptive and Personalized Privacy and
Security, in conjunction with the 30th ACM Conference on User Modeling,
Adaptation and Personalization (ACM UMAP
=== Apologies for multiple reception ===
A 3-year PhD position is open in Montpellier, France (LIRMM), starting
anytime between April and September 2022, in the field of AI.
Keywords: knowedge graphs, graph embeddeings, representation learning
for text and graphs, machine learning and linked
