Tom Gedeon
Tom Gedeon
Professor of Computer Science, Australian National University
Verified email at cs.anu.edu.au - Homepage
Title
Cited by
Cited by
Year
Collecting large, richly annotated facial-expression databases from movies
A Dhall, R Goecke, S Lucey, T Gedeon
IEEE Annals of the History of Computing 19 (03), 34-41, 2012
3762012
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
3702012
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
3012011
A generalized concept for fuzzy rule interpolation
P Baranyi, LT Kóczy, TD Gedeon
IEEE Transactions on Fuzzy Systems 12 (6), 820-837, 2004
2662004
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
2582000
Emotion recognition using PHOG and LPQ features
A Dhall, A Asthana, R Goecke, T Gedeon
Face and Gesture 2011, 878-883, 2011
2362011
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
2332015
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
1962013
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
1672014
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
1651998
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
1552005
Data mining of inputs: analysing magnitude and functional measures
TD Gedeon
International Journal of Neural Systems 8 (02), 209-218, 1997
1501997
Network Reduction Techniques
DH Gedeon, T.D.
Proceedings International Conference on Neural Networks Methodologies and …, 1991
1471991
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
1432017
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
1352003
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
1302016
Stability of interpolative fuzzy KH controllers
D Tikk, I Joó, L Kóczy, P Vįrlaki, B Moser, TD Gedeon
Fuzzy Sets and Systems 125 (1), 105-119, 2002
1142002
Bimodal distribution removal
P Slade, TD Gedeon
International Workshop on Artificial Neural Networks, 249-254, 1993
1091993
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
1041995
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
962004
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