Special Issue on Socially Acceptable Robot Behavior: Approaches for Learning, Adaptation and Evaluation in Interaction Studies I. Aim and Scope A key factor for the acceptance of robots as regular partners in human-centered environments is the appropriateness and predictability of their behavior. The behavior of human-human interactions is governed by customary rules that define how […]
Archive for the ‘Congress’ Category
CFP Special Issue on Socially Acceptable Robot Behavior: Approaches for Learning, Adaptation and Evaluation
March 30th, 2022
Daniela Lopez de Luise Bhavani Thuraisingham (the University of Texas at Dallas) – Distinguished Lecture, Trusting AI with Our Cybersecurity
March 30th, 2022
Daniela Lopez de Luise Web version Forward This newsletter features: 1. Distinguished Lecture by Bhavani Thuraisingham (The University of Texas at Dallas (UTD)) 2. Trusting AI with Our Cybersecurity by Prof. Mohammed M. Alani presenting eai distinguished lecture Bhavani Thuraisingham | the University of Texas at Dallas (UTD) Bhavani Thuraisingham is the Founders Chair Professor of Computer Science and […]
The Deep Video Understanding Grand Challenge at ACM Multimedia 2022
March 30th, 2022
Daniela Lopez de Luise Call For Participation Challenge Website: https://sites.google.com/view/dvuchallenge2022 Deep video understanding is a difficult task which requires systems to develop a deep analysis and understanding of the relationships between different entities in video, to use known information to reason about other, more hidden information, and to populate a knowledge graph (KG) representation with all acquired information. To work […]
Participation in the free International AI Doctoral Academy (AIDA) Short course “Domain Adaptation and Generalization” by Prof. Vittorio Murino and Dott. Pietro Morerio, April 08, 2022
March 30th, 2022
Daniela Lopez de Luise COURSE TITLE: Domain Adaptation & Generalization LECTURER: Vittorio Murino, vittorio.murino@univr.it; Pietro Morerio, pietro.morerio@iit.it ORGANIZER: University of Verona and Istituto Italiano di Tecnologia CONTENT AND ORGANIZATION: A standard assumption of learning based models is that training and test data share the same input distribution. However, models […]
First CFP for the “First International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2022)”, collocated with IJCAI-ECAI 2022
March 29th, 2022
Daniela Lopez de Luise Call For Papers The First International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2022), collocated with IJCAI-ECAI 2022 (https://ijcai-22.org/) Website: https://strl2022.github.io/ Introduction Opposing the false dilemma of logical reasoning vs machine learning, we argue for a synergy between these two paradigms in order to obtain hybrid AI systems that will be robust, generalizable, and […]




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