Welcome to the website of the Robots, Agents, and Interaction (RAI) group at the Department of Data Science & Knowledge Engineering at Maastricht University.
RAI has strong experience in the design and implementation of machine learning, data mining, computer vision, and robotics. This includes broad know-how in research involving learning and coordination among autonomous agents (software or robots), human-robot interaction, human activity & emotion recognition in HCI/HRI (Human-Computer/Robot Interaction), swarm and modular robotics, automated negotiation, and AI knowledge transfer.
It has been a good week for RAI!
Our paper titled “A retrieval-based dialogue system utilizing utterance and context embeddings” (A. Bartl, G. Spanakis) is accepted as a poster paper at the 16th IEEE International on Machine Learning and Applications (ICMLA2017).
This paper was first-authored by one of our Master in Artificial Intelligence graduates and describes his work towards building a chatbot for one of Maastricht based companies that DKE works with.
Our paper titled “Accumulated Gradient Optimization” (J. Hermans, G. Spanakis, R. Moeckel) is accepted as a full paper at the 9th Asian Conference on Machine Learning (ACML2017).
This paper was first-authored by one of our Master in Artificial Intelligence graduates, based on his thesis work (started at CERN and awarded one of the best thesis awards from DKE for 2017).
Our paper titled “Massive Open Online Courses Temporal Profiling for Dropout Prediction” (T. Rolandus Hagedoorn, G. Spanakis) is accepted as a full paper at the 29th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2017).
This paper was first-authored by one of our Bachelor in Data Science and Knowledge Engineering graduates.
Our paper titled “Reciprocal Recommender System for Users in Massive Open Online Courses (MOOCs)” (S. Prabhakar, G. Spanakis, O. Zaiane) is accepted as a full paper at the 16th International Conference on Web-based Learning (ICWL 2017).
This paper is a joint work with the Computer Science department of University of Alberta.
The University of Maastricht (UM) and Dimokritos (NCSR) are co-organizing the SMAP 2017 Special Session on Multimodal Affective Analysis for Human-Machine Interfaces and Learning Environments (see this link for more information about the SS), which will be part of the SMAP 2017 (smap2017.org) conference in Bratislava, 9th-10th July 2017. The special session will focus on signal analysis and machine learning techniques on affective knowledge from auditory, visual and textual information, employed in human-machine interaction and learning applications and it is organized in collaboration with MaTHiSiS.
Recently, our paper titled “High-performance and Lightweight Real-time Deep Face Emotion Recognition” has been accepted for publication at the SMAP2017 – 12th International Workshop on Semantic and Social Media Adaptation and Personalization. This paper will be included as part of the Special Session on Multimodal affective analysis for human-machine interfaces and learning environments.
This paper (J. Schwan, E. Ghaleb, E. Hortal and S. Asteriadis) is the outcome of a student internship and presents a method for facial analysis in the wild based on Convolutional Neural Networks. This system will be applied in learning enviroments in the context of MaTHiSiS project.
Our paper titled “Multi-Agent Parking Place Simulation” is accepted for publication at the 15th International Conference on Practical Applications of Agents and multi-agents systems (PAAMS’17) (as a full paper and a demo paper).
This paper was authored by four of our Master in Artificial Intelligence students and their supervisors (Thomas Vrancken, Daniel Tenbrock, Sebastian Reick, Dejan Bozhinovski, Gerhard Weiss and Gerasimos Spanakis) as part of a semester research project and explored how multi-agent simulations can be utilized in parking dynamic pricing for the city of Maastricht.
Our paper titled “Machine learning techniques in eating behavior e-coaching: Balancing between generalization and personalization” (G. Spanakis, G. Weiss, B. Boh, L. Lemmens, A.Roefs) has been accepted for publication.
RAI, in collaboration with the Polytechnic University of Madrid and the Centre of Research and Technology, Hellas in Greece, are organizing the international Smart Indoor Event and Activity Recognition Workshop. Paper Submission deadline: 20th of May. For more information, click here