Stefan Lessmann
Stefan Lessmann
Professor of Information Systems, Humboldt-University of Berlin
Bestätigte E-Mail-Adresse bei hu-berlin.de - Startseite
TitelZitiert vonJahr
Benchmarking classification models for software defect prediction: A proposed framework and novel findings
S Lessmann, B Baesens, C Mues, S Pietsch
IEEE Transactions on Software Engineering 34 (4), 485-496, 2008
9352008
Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research
S Lessmann, B Baesens, HV Seow, LC Thomas
European Journal of Operational Research 247 (1), 124-136, 2015
3622015
Annals of Information Systems
U Apte, U Karmarkar, U Kulkarni, DJ Power, R Sharda, S Kozielski, ...
3142009
The impact of preprocessing on data mining: An evaluation of classifier sensitivity in direct marketing
SF Crone, S Lessmann, R Stahlbock
European Journal of Operational Research 173 (3), 781-800, 2006
1812006
Genetic algorithms for support vector machine model selection
S Lessmann, R Stahlbock, SF Crone
The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006
1292006
A reference model for customer-centric data mining with support vector machines
S Lessmann, S Voß
European Journal of Operational Research 199 (2), 520-530, 2009
772009
A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry
K Coussement, S Lessmann, G Verstraeten
Decision Support Systems 95, 27-36, 2017
632017
Bridging the divide in financial market forecasting: machine learners vs. financial economists
MW Hsu, S Lessmann, MC Sung, T Ma, JEV Johnson
Expert Systems with Applications 61, 215-234, 2016
552016
A comparative study of LSTM neural networks in forecasting day-ahead global horizontal irradiance with satellite data
S Srivastava, S Lessmann
Solar Energy 162, 232-247, 2018
442018
Crowdsourcing: Systematisierung praktischer Ausprägungen und verwandter Konzepte.
N Martin, S Lessmann, S Voß
Multikonferenz Wirtschaftsinformatik, 1251-1263, 2008
422008
Tuning metaheuristics: A data mining based approach for particle swarm optimization
S Lessmann, M Caserta, IM Arango
Expert Systems with Applications 38 (10), 12826-12838, 2011
392011
Solving imbalanced classification problems with support vector machines
S Lessmann
International Conference on Artificial Intelligence (ICAI), 214-220, 2004
392004
Extreme learning machines for credit scoring: An empirical evaluation
A Bequé, S Lessmann
Expert Systems with Applications 86, 42-53, 2017
362017
Identifying winners of competitive events: A SVM-based classification model for horserace prediction
S Lessmann, MC Sung, JEV Johnson
European Journal of Operational Research 196 (2), 569-577, 2009
332009
Utility based data mining for time series analysis: cost-sensitive learning for neural network predictors
SF Crone, S Lessmann, R Stahlbock
Proceedings of the 1st international workshop on Utility-based data mining …, 2005
322005
Forecasting with computational intelligence-an evaluation of support vector regression and artificial neural networks for time series prediction
SF Crone, S Lessmann, S Pietsch
The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006
302006
Alternative methods of predicting competitive events: An application in horserace betting markets
S Lessmann, MC Sung, JEV Johnson
International Journal of Forecasting 26 (3), 518-536, 2010
272010
A new methodology for generating and combining statistical forecasting models to enhance competitive event prediction
MC Sung, S Lessmann, JEV Johnson, T Ma
European Journal of Operational Research 218 (1), 163-174, 2012
212012
Optimizing hyperparameters of support vector machines by genetic algorithms.
S Lessmann, R Stahlbock, SF Crone
IC-AI, 74-82, 2005
212005
Supervised classification for decision support in customer relationship management
S Lessmann, S Voß
Intelligent decision support, 231-253, 2008
202008
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20