Tom Gedeon

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	All	Since 2016
Citations	8908	4624
h-index	46	31
i10-index	165	88

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Co-authors

Abhinav DhallMonash University and IIT RoparVerified email at monash.edu
Roland GoeckeProfessor of Affective Computing, Human-Centred Technology Research Centre, University of CanberraVerified email at canberra.edu.au
Kevin Kok Wai WongMurdoch University, Perth, Western AustraliaVerified email at murdoch.edu.au
Patrick M WongNoble Energy, Houston, TXVerified email at nblenergy.com
Domonkos TikkGravity R&DVerified email at gravityrd.com
Chun Che Fung, LanceMurdoch University, Perth, Western AustraliaVerified email at murdoch.edu.au
Peter BaranyiSzechenyi Istvan University & Budapest University of TechnologyVerified email at sze.hu
Simon LuceyProfessor, University of AdelaideVerified email at adelaide.edu
Warick BrownSenior Exploration GeologistVerified email at igo.com.au
Paul ThomasMicrosoftVerified email at microsoft.com
Akshay AsthanaPrincipal Scientist, Seeing Machines Inc.Verified email at seeingmachines.com
Michael WagnerProfessor of Computing, University of CanberraVerified email at canberra.edu.au
Janos BotzheimAssociate Professor, Budapest University of Technology and EconomicsVerified email at ieee.org
Bailing ZhangInstitute of Advanced Artificial Intelligence in NanjingVerified email at horizon.ai
Shirley GregorAustralian National UniversityVerified email at anu.edu.au
Uma SrinivasanSenior Research Scientist, Digital Health Cooperative Research CentreVerified email at digitalhealthcrc.com
Yew-Soon OngProfessor of Computer Science, IEEE FellowVerified email at ntu.edu.sg
sungzoon choSeoul National UniversityVerified email at snu.ac.kr
zhiheng huangAmazon
Jin Sung KimKorea Railroad Research InstituteVerified email at krri.re.kr

Tom Gedeon

Professor of Computer Science, Australian National University

Verified email at cs.anu.edu.au - Homepage

Neural networks Deep Learning Human centred computing Bio-inspired computing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Collecting large, richly annotated facial-expression databases from movies A Dhall, R Goecke, S Lucey, T Gedeon IEEE multimedia, 34-41, 2012	362	2012
Objective measures, sensors and computational techniques for stress recognition and classification: A survey N Sharma, T Gedeon Computer methods and programs in biomedicine 108 (3), 1287-1301, 2012	360	2012
Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark A Dhall, R Goecke, S Lucey, T Gedeon 2011 IEEE International Conference on Computer Vision Workshops (ICCV …, 2011	293	2011
A generalized concept for fuzzy rule interpolation P Baranyi, LT Kóczy, TD Gedeon IEEE Transactions on Fuzzy Systems 12 (6), 820-837, 2004	260	2004
Artificial neural networks: a new method for mineral prospectivity mapping WM Brown, TD Gedeon, DI Groves, RG Barnes Australian journal of earth sciences 47 (4), 757-770, 2000	256	2000
Emotion recognition using PHOG and LPQ features A Dhall, A Asthana, R Goecke, T Gedeon Face and Gesture 2011, 878-883, 2011	228	2011
Video and image based emotion recognition challenges in the wild: Emotiw 2015 A Dhall, OV Ramana Murthy, R Goecke, J Joshi, T Gedeon Proceedings of the 2015 ACM on international conference on multimodal …, 2015	222	2015
Emotion recognition in the wild challenge 2013 A Dhall, R Goecke, J Joshi, M Wagner, T Gedeon Proceedings of the 15th ACM on International conference on multimodal …, 2013	194	2013
Simulated annealing and weight decay in adaptive learning: the SARPROP algorithm NK Treadgold, TD Gedeon IEEE Transactions on Neural Networks 9 (4), 662-668, 1998	164	1998
Emotion recognition in the wild challenge 2014: Baseline, data and protocol A Dhall, R Goecke, J Joshi, K Sikka, T Gedeon Proceedings of the 16th international conference on multimodal interaction …, 2014	162	2014
Fuzzy rule interpolation for multidimensional input spaces with applications: A case study KW Wong, D Tikk, TD Gedeon, LT Kóczy IEEE transactions on fuzzy systems 13 (6), 809-819, 2005	153	2005
Data mining of inputs: analysing magnitude and functional measures TD Gedeon International Journal of Neural Systems 8 (02), 209-218, 1997	147	1997
Network Reduction Techniques DH Gedeon, T.D. Proceedings International Conference on Neural Networks Methodologies and …, 1991	146	1991
From individual to group-level emotion recognition: Emotiw 5.0 A Dhall, R Goecke, S Ghosh, J Joshi, J Hoey, T Gedeon Proceedings of the 19th ACM international conference on multimodal …, 2017	135	2017
A survey on universal approximation and its limits in soft computing techniques D Tikk, LT Kóczy, TD Gedeon International Journal of Approximate Reasoning 33 (2), 185-202, 2003	132	2003
Emotiw 2016: Video and group-level emotion recognition challenges A Dhall, R Goecke, J Joshi, J Hoey, T Gedeon Proceedings of the 18th ACM international conference on multimodal …, 2016	123	2016
Stability of interpolative fuzzy KH controllers D Tikk, I Joó, L Kóczy, P Várlaki, B Moser, TD Gedeon Fuzzy Sets and Systems 125 (1), 105-119, 2002	111	2002
Bimodal distribution removal P Slade, TD Gedeon International Workshop on Artificial Neural Networks, 249-254, 1993	109	1993
An improved technique in porosity prediction: a neural network approach PM Wong, TD Gedeon, IJ Taggart IEEE Transactions on Geoscience and Remote Sensing 33 (4), 971-980, 1995	104	1995
An eye gaze model for dyadic interaction in an immersive virtual environment: Practice and experience V Vinayagamoorthy, M Garau, A Steed, M Slater Computer Graphics Forum 23 (1), 1-11, 2004	95	2004

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