Jordi Bieger - Google Scholar

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	All	Since 2015
Citations	742	497
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Co-authors

Kristinn R. ThórissonDCS Reykjavik University & IIIMVerified email at iiim.is
Gary Garcia MolinaSenior Principal Scientist, Sleep NumberVerified email at wisc.edu
Danhua Zhu浙江大学医学院附属第一医院Verified email at zju.edu.cn
Ronald M. AartsPhilips Fellow & Full Professor tue & president of Aarts Consultancy (Adviesbureau Aarts)Verified email at tue.nl
Deon GarrettResearch Scientist, IIIM; Affiliated Assistant Professor, Reykjavik UniversityVerified email at iiim.is
Marco BaroniICREA Professor (Barcelona) and FAIR Research Scientist (Paris)Verified email at fb.com
Nader ChmaitVictoria University -- Tennis Australia -- Monash UniversityVerified email at vu.edu.au
Claes StrannegårdChalmers University of TechnologyVerified email at chalmers.se
David L DoweMonash UniversityVerified email at monash.edu
Fernando Martínez-PlumedVRAIN, Valencian Research Institute for Artificial Intelligence, Universitat Politècnica de ValènciaVerified email at dsic.upv.es
Katja HofmannMicrosoft ResearchVerified email at microsoft.com
José Hernández-OralloVRAIN, Valencian Research Institute for Artificial Intelligence, Universitat Politecnica de ValenciaVerified email at upv.es
Stephan SchiffelAssistant Professor, Reykjavík UniversityVerified email at ru.is
Tsvetomira TsonevaPhilips Research, Donders Institute for Brain, Cognition, and Behaviour, Radboud UniversityVerified email at philips.com
Pei WangTemple UniversityVerified email at temple.edu
Alexey PotapovVerified email at spbu.ru
Iris van RooijRadboud University Nijmegen, Donders Institute for Brain, Cognition and Behaviour

Jordi Bieger

Researcher at Delft University of Technology & Doctoral Student at Reykjavik University

Verified email at iiim.is - Homepage

Artificial Intelligence Artificial General Intelligence Machine Learning Reinforcement Learning Programming


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A survey of stimulation methods used in SSVEP-based BCIs D Zhu, J Bieger, G Garcia Molina, RM Aarts Computational intelligence and neuroscience 2010, 2010	547	2010
A new AI evaluation cosmos: Ready to play the game? J Hernández-Orallo, M Baroni, J Bieger, N Chmait, DL Dowe, K Hofmann, ... AI Magazine 38 (3), 66-69, 2017	48	2017
Light Stimulation Properties to Influence Brain Activity: A Brain-Computer Interface Application J Bieger, GG Molina Philips Research Technical Note, 2010	26	2010
Why artificial intelligence needs a task theory KR Thórisson, J Bieger, T Thorarensen, JS Sigurðardóttir, BR Steunebrink International Conference on Artificial General Intelligence, 118-128, 2016	19	2016
Effects of stimulation properties in steady-state visual evoked potential-based brain-computer interfaces J Bieger, GG Molina, D Zhu Proceedings of the 32nd Annual International Conference of the IEEE …, 2010	19	2010
Towards flexible task environments for comprehensive evaluation of artificial intelligent systems and automatic learners KR Thórisson, J Bieger, S Schiffel, D Garrett International Conference on Artificial General Intelligence, 187-196, 2015	16	2015
Raising AI: tutoring matters J Bieger, KR Thórisson, D Garrett International Conference on Artificial General Intelligence, 1-10, 2014	13	2014
Tunable and generic problem instance generation for multi-objective reinforcement learning D Garrett, J Bieger, KR Thórisson 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement …, 2014	10	2014
Light stimulation properties to influence brain activity J Bieger, GG Molina trials 50, 50, 2010	7	2010
Towards error-free interaction T Tsoneva, J Bieger, G Garcia-Molina 2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010	7	2010
The pedagogical pentagon: A conceptual framework for artificial pedagogy J Bieger, KR Thórisson, BR Steunebrink International Conference on Artificial General Intelligence, 212-222, 2017	6	2017
Evaluation of general-purpose artificial intelligence: why, what & how J Bieger, KR Thórisson, BR Steunebrink, T Thorarensen, JS Sigurðardóttir Evaluating General-Purpose AI, 2016	6	2016
Evaluating understanding J Bieger, KR Thórisson, B Steunebrink IJCAI Workshop on Evaluating General-Purpose AI, Melbourne, Australia (2017 …, 2017	5	2017
Safe baby AGI J Bieger, KR Thórisson, P Wang International Conference on Artificial General Intelligence, 46-49, 2015	5	2015
Cumulative learning KR Thórisson, J Bieger, X Li, P Wang International Conference on Artificial General Intelligence, 198-208, 2019	4	2019
AI Ethics for Law Enforcement L Zardiashvili, J Bieger, F Dechesne, V Dignum Delphi-Interdisciplinary Review of Emerging Technologies 2 (4), 179-185, 2020	1	2020
Task analysis for teaching cumulative learners JE Bieger, KR Thórisson International Conference on Artificial General Intelligence, 21-31, 2018	1	2018
Stimulation effects in SSVEP-based BCIs JE Bieger	1	2010
Meaningful Representations Prevent Catastrophic Interference J Bieger, IG Sprinkhuizen-Kuyper, I van Rooij [Sl: sn], 2009	1	2009
AI & Ethics at the Police: Towards Responsible use of Artificial Intelligence in the Dutch Police F Dechesne, V Dignum, L Zardiashvili, J Bieger		2019

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