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| Time slot |
Student(s) |
Paper |
Apr 28 (8:40-9:10)
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Gokdemir/Ermis |
C.I. Christodoulou, C.S. Pattichis, M. Pantziaris, A. Nicolaides,
Texture-based classification of atherosclerotic carotid plaques,
IEEE Transactions on Medical Imaging, 22(7), 902-912, 2003.
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Apr 28 (9:15-9:45)
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Kucukoglu/Culha |
G. Dorko, C. Schmid,
Object class recognition using discriminative local features,
Technical Report RR-5497, INRIA, Rhone-Alpes, 2005.
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Apr 28 (9:50-10:20)
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Koc/Hancioglu |
R. Guzman-Cabrera, M. Montes-Y-Gomez, P. Rosso, L. Villasenor-Pineda,
Using the Web as corpus for self-training text categorization,
Information Retrieval, 2002.
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| Apr 30 (10:40-11:10) |
Tokgozoglu/ Ariyurek |
S. Mahadevan,
Machine learning for robots: A comparison of different paradigms,
IEEE/RSJ International Conference on Intelligent Robots and Systems,
1996.
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| Apr 30 (11:15-11:30) |
Turan |
R. Fergus, P. Perona, A. Zisserman,
Object class recognition by unsupervised scale-invariant learning,
Proceedings of Computer Vision and Pattern Recognition, 2, II-264-II-271, 2003.
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| May 5 (8:40-9:10) |
Dumlu/Guler |
H. Yu, C. Caldwell, K. Mah, D. Mozeg,
Coregistered FDG PET/CT-based textural characterization of head and neck cancer for radiation treatment planning,
IEEE Transactions on Medical Imaging, 28(3), 374-383, 2009.
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| May 5 (9:15-9:45) |
Acer/Iskender |
P. Stone, M. Veloso,
Multiagent systems: A survey from a machine learning perspective, autonomous robots,
Autonomous Robots, 8, 345-383, 2000.
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| May 5 (9:50-10:20) |
Koca/Isler |
N. Richards, D. Moriarty, P. Mc Questen, R. Miikkulainen,
Evolving neural networks to play Go,
Applied Intelligence, 8, 85-96, 1998.
|
| May 7 (10:40-11:10) |
Bacanli/Atalar |
O. Sharma, M. Girolami, J. Sventek,
Detecting worm variants using machine learning,
Proceedings of the International Conference On Emerging Networking Experiments And Technologies, New York, USA, 2007.
|
| May 7 (11:15-11:30) |
Turanciftci |
S.K. D'Mello, S. Franklin, U. Ramamurthy, B.J. Baars,
A cognitive science based machine learning architecture,
Between a Rock and a Hard Place: Cognitive Science Principles Meet
AI-Hard Problems, the 2006 AAAI Spring Symposium, 2006.
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| May 12 (8:40-9:10) |
Demirli/Kaptanoglu |
Y. Wang, C. W. de Silva,
A machine-learning approach to multi-robot coordination
Engineering Applications of Artificial Intelligence, 21(3), 470-484, 2008.
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| May 12 (9:15-9:30) |
Olgun |
S. Ray, M. Britschgi, C. Herbert, Y. Takeda-Uchimura, A. Boxer, K. Blennow, L.F. Friedman, D.R. Galasko, M. Jutel, A. Karydas, J.A. Kaye,
J. Leszek, B.L. Miller, L. Minthon, J.F. Quinn, G.D. Rabinovici, W.H. Robinson, M.N. Sabbagh,
Y. So, D.L. Sparks, M. Tabaton, J. Tinklenberg, J. Yesavage, R. Tibshirani, T. Wyss-Coray,
Classification and prediction of clinical Alzheimer's diagnosis based on plasma signaling proteins,
13, 1359-1362, 2007.
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| May 12 (9:40-9:55) |
Ozdemir |
R. Jolivet, F. Schurmann, T.K. Berger, R. Naud, W. Gerstner, A. Roth,
The quantitative single-neuron modeling competition, Biological Cybernetics,
99, 417-426, 2008.
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| May 12 (10:00-10:30) |
Guzel/Guven |
S.K. Chalup, C.L. Murch, M.J. Quinlan,
Machine learning with AIBO robots in the four-legged league of RoboCup,
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews,
37, 297-310, 2007.
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