39 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Université Paris 8FR7 papers
- Karolinska InstitutetSE4 papers
- École Pratique des Hautes ÉtudesFR3 papers
- National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”UA3 papers
- Universidad de SevillaES3 papers
- Chart Industries (United States)US2 papers
- Huizhou UniversityCN2 papers
- CY Cergy Paris UniversitéFR1 paper
- École Nationale Supérieure de l'Électronique et de ses ApplicationsFR1 paper
- Equipes Traitement de l'Information et SystèmesFR1 paper
- Institut IcareCH1 paper
- Institut polytechnique de GrenobleFR1 paper
12 papers
What Can Robots Teach Us About Trust and Reliance? An interdisciplinary dialogue between Social Sciences and Social Robotics
Julien Wacquez, Elisabetta Zibetti, Joffrey Becker +5
As robots find their way into more and more aspects of everyday life, questions around trust are becoming increasingly important. What does it mean to trust a robot? And how should…
Intra-neuronal attention within language models Relationships between activation and semantics
Michael Pichat, William Pogrund, Paloma Pichat +4
This study investigates the ability of perceptron-type neurons in language models to perform intra-neuronal attention; that is, to identify different homogeneous categorical segmen…
The mentor-child paradigm for individuals with autism spectrum disorders
Marion Dubois-Sage, Baptiste Jacquet, Frank Jamet +1
Our aim is to analyze the relevance of the mentor-child paradigm with a robot for individuals with Autism Spectrum Disorders, and the adaptations required. This method could allow…
PRIM project: what contributions for disabilities?
Céline Jost, Justin Debloos, Agnès Piquard-Kipffer +2
In the PRIM project, we aim at giving people the power to create scenagrams (interaction scenarios between a human and digital devices) without the need to learn programming or to…
Parallel Statistical and Machine Learning Methods for Estimation of Physical Load
Sergii Stirenko, Gang Peng, Wei Zeng +4
Several statistical and machine learning methods are proposed to estimate the type and intensity of physical load and accumulated fatigue . They are based on the statistical analys…
Performance Evaluation of Distributed Computing Environments with Hadoop and Spark Frameworks
Vladyslav Taran, Oleg Alienin, Sergii Stirenko +2
Recently, due to rapid development of information and communication technologies, the data are created and consumed in the avalanche way. Distributed computing create preconditions…
User-driven Intelligent Interface on the Basis of Multimodal Augmented Reality and Brain-Computer Interaction for People with Functional Disabilities
S. Stirenko, Yu. Gordienko, T. Shemsedinov +6
The analysis of the current integration attempts of some modes and use cases of user-machine interaction is presented. The new concept of the user-driven intelligent interface is p…
Natural scene statistics mediate the perception of image complexity
Nicolas Gauvrit, Fernando Soler-Toscano, Hector Zenil
Humans are sensitive to complexity and regularity in patterns. The subjective perception of pattern complexity is correlated to algorithmic (Kolmogorov-Chaitin) complexity as defin…
The Information-theoretic and Algorithmic Approach to Human, Animal and Artificial Cognition
Nicolas Gauvrit, Hector Zenil, Jesper Tegnér
We survey concepts at the frontier of research connecting artificial, animal and human cognition to computation and information processing---from the Turing test to Searle's Chines…
Algorithmic complexity for psychology: A user-friendly implementation of the coding theorem method
Nicolas Gauvrit, Henrik Singmann, Fernando Soler-Toscano +1
Kolmogorov-Chaitin complexity has long been believed to be impossible to approximate when it comes to short sequences (e.g. of length 5-50). However, with the newly developed \emph…
Towards an Extension of the 2-tuple Linguistic Model to Deal With Unbalanced Linguistic Term sets
Mohammed-Amine Abchir, Isis Truck
In the domain of Computing with words (CW), fuzzy linguistic approaches are known to be relevant in many decision-making problems. Indeed, they allow us to model the human reasonin…
Correspondence and Independence of Numerical Evaluations of Algorithmic Information Measures
Fernando Soler-Toscano, Hector Zenil, Jean-Paul Delahaye +1
We show that real-value approximations of Kolmogorov-Chaitin (K_m) using the algorithmic Coding theorem as calculated from the output frequency of a large set of small deterministi…