Organization profile

Organisational unit profile

The Cognitive Science & Artificial intelligence (CSAI) program investigates human and artificial brains and minds. It emphasizes artificial intelligence, data science and computer science in light of cognitive science. The program is highly interdisciplinary, focusing on artificial intelligence and human behavior, with an emphasis on data technologies, signal, text, and image processing, robotics and avatars, serious gaming, and virtual and mixed reality.

The CSAI program has acquired projects worth a total of 30 million euros, including over 40 university and corporate partners. Moreover, researchers of the CSAI program have established university-wide initiatives, including a 1.2 million euro virtual and mixed reality lab, a 40 million euro large inter-university data science research and education program now active in three locations, and a 10 million euro inter-party initiative on interactive technologies and human behavior. More information about the program can be found on its website csai.nl.

Fingerprint Dive into the research topics where Cognitive Science & AI is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

Linguistics Engineering & Materials Science

Semantics Engineering & Materials Science

language Social Sciences

Labeling Engineering & Materials Science

Recurrent neural networks Engineering & Materials Science

Computational linguistics Engineering & Materials Science

Classifiers Engineering & Materials Science

Robots Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Profiles

George Aalbers

H.J.G.Aalbers@tilburguniversity.edu

Person: Academic

Maryam Alimardani

M.Alimardani@tilburguniversity.edu

Person: Academic

Afra Alishahi

A.Alishahi@tilburguniversity.edu

Person: Academic

Martin Atzmüller

M.Atzmuller@tilburguniversity.edu

Person: Academic

Tycho de Back

T.T.deBack@tilburguniversity.edu

Person: Academic

Stefan Bloemheuvel

S.D.Bloemheuvel@tilburguniversity.edu

Person: Academic

Research Output 2007 2019

A Multi-method Approach to Identify Engagement Predictors in Brand-related Instagram Pictures

Nanne, A., Antheunis, M., Postma, E., Wubben, S. & van Noort, G., 9 Feb 2019.

Research output: Contribution to conference › Paper › Other research output

A Multi-Perspective View on Model-Based Exceptional Link Analysis on Complex Interaction Networks

Atzmueller, M. & Güven, Ç., 2019, (Unpublished).

Research output: Contribution to conference › Poster › Other research output

File

Heterogeneous networks

Complex networks

Semantics

Analyzing and Interpreting Neural Networks for NLP: A Report on the First BlackboxNLP Workshop

Alishahi, A., Chrupala, G. & Linzen, T., 31 Jul 2019, In : Natural Language Engineering. 25, 4, p. 543-557

Research output: Contribution to journal › Article › Scientific

Applying Answer Set Programming for Knowledge-Based Link Prediction on Social Interaction Networks

Güven, Ç. & Atzmueller, M., 26 Jun 2019, In : Frontiers in Big Data.

Research output: Contribution to journal › Article › Scientific › peer-review

Students

Association of Amyloid and Tau With Cognition in Preclinical Alzheimer Disease: A Longitudinal Study

Hanseeuw, B. J., Betensky, R. A., Jacobs, H. I. L., Schultz, A. P., Sepulcre, J., Becker, J. A., Cosio, D. M. O., Farrell, M., Quiroz, Y. T., Mormino, E. C., Buckley, R. F., Papp, K. V., Amariglio, R. A., Dewachter, I., Ivanoiu, A., Huijbers, W., Hedden, T., Marshall, G. A., Chhatwal, J. P., Rentz, D. M. & 2 others, Sperling, R. A. & Johnson, K., 3 Jun 2019, In : JAMA neurology.

Research output: Contribution to journal › Article › Scientific › peer-review

Open Access

Alzheimer Disease

Neurofibrillary Tangles

Consensus

Observation

Cognitive Dysfunction