Particle swarm optimization for pap-smear diagnosis

Aha, 1996, A comparative evaluation of sequential feature selection algorithms Ampazis, 2004, Efficient second order neural network training algorithms for the construction of a pap-smear classifier, Vol. 3025, 230 Byriel, J. (1999). Neuro-fuzzy classification of cells in cervical smears, Master’s thesis, Technical University of Denmark, Oersted-DTU, Automation. Cantu-Paz, 2004, Feature subset selection, class separability, and genetic algorithms, Genetic and Evolutionary Computation Conference, 959 Cantu-Paz, E., Newsam, S., & Kamath, C. (2004). Feature selection in scientific application. In Proceedings of the 2004 ACM SIGKDD international conference on knowledge discovery and data mining (pp. 788–793). Dorigo, 2004 Dounias, 2006, Automated identification of cancerous smears using various competitive intelligent techniques, Oncology Reports, 15, 1001 Duda, 1973 Duda, 2001 Glover, 1989, Tabu search I, ORSA Journal on Computing, 1, 190, 10.1287/ijoc.1.3.190 Goldberg, 1989 Jain, 1997, Feature selection: Evaluation, application, and small sample performance, IEEE Transactions on Pattern Analysis and Machine Intelligence, 19, 153, 10.1109/34.574797 Jantzen, J., Norup, J., Dounias, G., & Bjerregaard, B. (2005). Pap-smear benchmark data for pattern classification. In Proceedings of the NiSIS 2005, Nature inspired Smart Information Systems (NiSIS), EU co-ordination action, Albufeira, Portugal (pp. 1–9). Kennedy, J., & Eberhart, R. (1995). Particle swarm optimization. In Proceedings of 1995 IEEE international conference on neural networks (Vol. 4, pp. 1942–1948). Kennedy, J., & Eberhart, R. (1997). A discrete binary version of the particle swarm algorithm. In Proceedings of 1997 IEEE international conference on systems, man, and cybernetics (Vol. 5, pp. 4104–4108). Kennedy, 2001 Kira, K., & Rendell, L. (1992). A practical approach to feature selection. In Proceedings of the ninth international conference on machine learning, Aberdeen, Scotland (pp. 249–256). Kohavi, 1997, Wrappers for feature subset selection, Artificial Intelligence, 97, 273, 10.1016/S0004-3702(97)00043-X Lopez, 2006, Solving feature subset selection problem by a parallel scatter search, European Journal of Operational Research, 169, 477, 10.1016/j.ejor.2004.08.010 Marinakis, Y., & Dounias, G. (in press). Nature inspired intelligence in medicine: Ant colony optimization for pap-smear diagnosis. International Journal on Artificial Intelligence Tools (IJAIT). Marinakis, Y., & Dounias, G. (2006a). Pap-smear diagnosis using a hybrid intelligent scheme focusing on genetic algorithm based feature selection and nearest neighbor classification, The pap smear benchmark. Intelligent and nature inspired approaches in pap smear diagnosis. Special session proceedings of the NISIS–2006 symposium (pp. 15–24) November 29–December 1, Puerto de la Cruz, Tenerife, Spain. Marinakis, Y., & Dounias, G. (2006b). Nearest neighbor based pap-smear cell classification using tabu search for feature selection, The pap smear benchmark. Intelligent and nature inspired approaches in pap smear diagnosis. Special session proceedings of the NISIS–2006 Symposium (pp. 25–34) November 29–December 1, Puerto de la Cruz, Tenerife, Spain. Martin, E. (2003). Pap-smear classification, Masters thesis, Technical University of Denmark, Oersted-DTU, Automation. Meisels, 1997 Narendra, 1977, A branch and bound algorithm for feature subset selection, IEEE Transactions on Computers, 26, 917, 10.1109/TC.1977.1674939 Norup, J. 2005. Classification of pap-smear data by transductive neuro-fuzzy methods, Masters thesis, Technical University of Denmark, Oersted-DTU, Automation. Pudil, 1994, Floating search methods in feature selection, Pattern Recognition Letters, 15, 1119, 10.1016/0167-8655(94)90127-9 Shi, Y., & Eberhart, R. (1998). A modified particle swarm optimizer. In Proceedings of 1998 IEEE world congress on computational intelligence (pp. 69–73). Siedlecki, 1988, On automatic feature selection, International Journal of Pattern Recognition and Artificial Intelligence, 2, 197, 10.1142/S0218001488000145 Siedlecki, 1989, A note on genetic algorithms for large-scale feature selection, Pattern Recognition Letters, 10, 335, 10.1016/0167-8655(89)90037-8 Tsakonas, 2004, Evolving rule based systems in two medical domains using genetic programming, Artificial Intelligence in Medicine, 32, 195, 10.1016/j.artmed.2004.02.007