Journal Contributions: Published

Jump to Year:   2007  2006  2005  2004  2003  1998  1997

2007
	G. Carneiro, A.B. Chan, P.J. Moreno, N. Vasconcelos. Supervised Learning of semantic classes for image annotation and retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence 29:3 (2007) 394-410		bib
	X. Qi, Y. Han. Incorporating multiple SVMs for automatic image annotation. Pattern Recognition 40 (2007) 728-741			bib
	Z.H. Zhou, M.L. Zhang. Solving multi-instance problems with classifier ensemble based on constructive clustering. knowledge and information systems 11:2 (2007) 155-170		bib
2006
	Y. Chen, J. Bi, J.Z. Wang. MILES: Multiple-Instance Learning via Embedded Instance Selection. IEEE Transactions on Pattern Analysis and Machine Intelligence 28:12 (2006) 1931-1947		bib
	S.C. Chen, S.H. Rubin, M.L. Shyu, C. Zhang. A dynamic user concept pattern learning framework for content-based image retrieval. IEEE Transaction on System Man Cybernetics Part C Applications and Reviews 36:6 (2006) 772-783			bib
	H.-B. Dai, M.-L. Zhang, Z.-H. Zhou. A multi-instance learning based approach to image retrieval. Pattern Recognition and Artificial 19:2 (2006) 179-185		bib
	D.R. Dooly, S.A. Goldman, S.S. Kwek. Real-valued multiple-instance learning with queries. Journal of Computer and System Sciences 72 (2006) 1-15			bib
	M.-L. Zhang, Z.-H. Zhou. Adapting RBF neural networks to multi-instance learning. Neural Processing Letters 23:1 (2006) 1-26			bib
	Z.-H. Zhou. Multi-instance learning from supervised view. Journal of Computer Science and Technology 21:5 (2006) 800-809			bib
2005
	J.F. Murray, G.F. Hughes, K. Kreutz-Delgado. Machine learning methods for predicting failures in hard drives: A multiple-instance application. ournal of Machine Learning Research 6 (2005) 783-816			bib
	S. Scott, J. Zhang, J. Brown. On Generalized Multiple-Instance Learning. International Journal of Computational Intelligence and Applications 5:1 (2005) 21-35		bib
	Z.-H. Zhou, K. Jiang, M. Li. Multi-instance learning based web mining. Applied Intelligence 22:2 (2005) 135-147			bib
2004
	M.-L. Zhang, Z.-H. Zhou. Improve Multi-Instance Neural Networks through Feature Selection. Neural Process Letters 19:1 (2004) 1-10			bib
2003
	D.R. Dooly, Q. Zhang, S.A. Goldman, R.A. Amar. Multiple-instance learning of real-valued data. Journal of Machine Learning Research 3 (2003) 651-678			bib
	S.A. Goldman, S.D. Scott. Multiple-instance learning of real-valued geometric patterns. Annals of Mathematics and Artificial Intelligence 39:3 (2003) 259-290			bib
1998
	A.L. Blum, A. Kalai. A Note on Learning from Multiple-Instance Examples. Machine Learning 30 (1998) 23-29		bib
	P.M. Long, L. Tan. PAC Learning Axis-aligned Rectangles with Respect to Product Distributions from Multiple-Instance Examples. Machine Learning 30 (1998) 7-21		bib
1997
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 Conference Contributions

Jump to Year:   2007  2006  2005  2004  2003  2002  2001  1998

2007
	R.C. Bunescu, R.J. Mooney. Multiple Instance Learning for Sparse Positive Bags. 24th International Conference on Machine Learning (ICML2007). Omni Press. Corvallis OR (USA, 2007) 0-0			bib
2006
	P.-M. Cheung, J.T. Kwok. A regularization framework for multiple-instance learning. 23rd International Conference on Machine Learning (ICML). Pittsburgh (Pennsylvania, 2006) 193-200			bib
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	D. Wang, J. Li, B. Zhang. Multiple-instance learning via random walk. 17th European Conference on Machine Learning (ECML). Lecture Notes in Computer Science 4212, Springer-Verlag 2006, Berlin (Germany, 2006) 473-473			bib
	C. Yang. Region-based image annotation using asymmetrical support vector machine-based multiple-instance learning. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR). New York (EEUU, 2006) 2057-2063			bib
2005
	S.C. Chuang, Y.Y. Xu, H.-C. Fu. Neural network based image retrieval with multiple instance leaning techniques. 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES). Melbourne (Australia, 2005) 1210-1216			bib
	M.R. Naphade, J.R. Smith. A generalized multiple instance learning algorithm for large scale modeling of multimedia semantics. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). Philadelphia (PA, 2005) 341-344			bib
	S. Ray, M. Craven. Supervised versus multiple instance learning: An empirical comparison. 22nd International Conference on Machine Learning (ICML). Bonn (Germany, 2005) 697-704			bib
	C. Schmid, S. Soatto, C. Tomasi. Formulating semantic image annotation as a supervised learning problem. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR ). San Diego (CA, 2005) 163-168			bib
	C. Zhang, X. Chen, M. Chen, S.-C. Chen, M.-L. Shyu. A multiple instance learning approach for content based image retrieval using one-class support vector machine. IEEE International Conference on Multimedia and Expo (ICME). Amsterdam (Netherlands, 2005) 1142-1145			bib
	C. Zhang, X. Chen. Region-based image clustering and retrieval using multiple instance learning. 4th International Conference on Image and Video Retrieval (CIVR). Singapore (Malaysian, 2005) 194-204			bib
	Z.-H. Zhou, X.-B. Xue, Y. Jiang. Locating regions of interest in CBIR with multi-instance learning techniques. 18th Australian Joint Conference on Artificial Intelligence (AI). Lecture Notes in Computer Science 3809, Springer-Verlag 2005, Sydney ( Australia, 2005) 92-101			bib
2004
	Q. Tao, S. Scott, N.V. Vinodchandran, T.T. Osugi. SVM-based generalized multiple-instance learning via approximate box counting. 21st International Conference on Machine Learning (ICML). Banff (Alta, 2004) 799-806			bib
	S. Andrews, T. Hofmann. Multiple Instance Learning via Disjunctive Programming Boosting. Advances in Neural Information Processing Systems 2003 (NIPS 16). Cambridge (USA, 2004) 65-72		bib
	P. Auer, R. Ortner. A boosting approach to multiple instance learning. 15th European Conference on Machine Learning (ECML). Lecture Notes in Computer Science 3201, Springer-Verlag 2004, Pisa (Italy, 2004) 63-74			bib
	P. Reutemann, B. Pfahringer, E. Frank. A toolbox for learning from relational data with propositional and multi-instance learners. 17th Australian Joint Conference on Artificial Intelligence (AI). Lecture Notes in Computer Science 3339, Springer-Verlag 2004, Cairns (Australia, 2004) 1017-1023			bib
	Q. Tao, S.D. Scott,. A faster algorithm for generalized multiple-instance learning. 17th International Florida Artificial Intelligence Research Society Conference (FLAIRS). Miami Beach (Florida, 2004) 550-555			bib
2003
	A. McGovern, D. Jensen. Identifying Predictive Structures in Relational Data Using Multiple Instance Learning. 20th International Conference on Machine Learning (ML). Washington (DC, 2003) 528-535			bib
	N. Weidmann, E. Frank, B. Pfahringer. A Two-Level Learning Method for Generalized Multi-instance Problems. European Conference on Machine Learning (ECML 2003). Lecture Notes in Computer Science 2837, Springer 2003, Cavtat Dubrovnik (Croatia, 2003) 468-479		bib
	Z.-H. Zhou, M.-L. Zhang, K.-J. Chen. A Novel Bag Generator for Image Database Retrieval with Multi-Instance Learning Techniques. 15th IEEE International Conference on Tools with artificial Intelligence. Sacramento (CA, 2003) 565-569			bib
	Z.-H. Zhou, M.-L. Zhang. Ensembles of multi-instance learners. 14th European Conference on Machine Learning (ML). Cavtat (Dubrovnik, 2003) 492-502			bib
2002
	S. Andrews, T. Hofmann. Multiple instance learning with generalized support vector machines. 18th National Conference on Artificial Intelligence (AAAI). Edmonton (Alta, 2002) 943-944			bib
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2001
	Y. Chevaleyre, J.-D. Zucker. Solving Multiple-Instance and Multiple-Part Learning Problems with Decision Trees and Rule Sets. Application to the Mutagenesis Problem. 14th Biennial Conference of the Canadian Society on Computational Studies of Intelligence (AI). Lecture Notes in Computer Science 2056, Springer-Verlag 2001, London (UK, 2001) 204-214			bib
	Y. Chevaleyre, J.D. Zucker. A Framework for Learning Rules from Multiple Instance Data. European Conference on Machine Learning (ECML 2001). Lecture Notes in Computer Science 2167, Springer 2001, Freiburg (Germany, 2001) 49-60			bib
1998
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