| 2006 |
| 7 | PAC-Learning of Markov Models with Hidden State. Ricard Gavaldŕ, Philipp W. Keller, Joelle Pineau, Doina Precup. ECML 2006, 150-161. Web SearchBibTeXDownload |
| 6 | Data Mining Using Relational Database Management Systems. Beibei Zou, Xuesong Ma, Bettina Kemme, Glen Newton, Doina Precup. PAKDD 2006, 657-667. Cited by 4Web SearchBibTeXDownload |
| 2005 |
| 5 | The Workshop Program at the Nineteenth National Conference on Artificial Intelligence. Ion Muslea, Virginia Dignum, Daniel D. Corkill, Catholijn M. Jonker, Frank Dignum, Silvia Coradeschi, Alessandro Saffiotti, Dan Fu, Jeff Orkin, William Cheetham, Kai Goebel, Piero P. Bonissone, Leen-Kiat Soh, Randolph M. Jones, Robert E. Wray III, Matthias Scheutz, Daniela Pucci de Farias, Shie Mannor, Georgios Theocharous, Doina Precup, Bamshad Mobasher, Sarabjot S. Anand, Bettina Berendt, Andreas Hotho, Hans W. Guesgen, Michael T. Rosenstein, Mohammad Ghavamzadeh. AI Magazine (26): 103-108 (2005). Web SearchBibTeXDownload |
| 2002 |
| 4 | Combining and Adapting Software Quality Predictive Models by Genetic Algorithms. Danielle Azar, Doina Precup, Salah Bouktif, Balázs Kégl, Houari A. Sahraoui. ASE 2002, 285-288. Web SearchBibTeXDownload |
| 2000 |
| 3 | Using Finite Experiments to Study Asymptotic Performance. Catherine C. McGeoch, Peter Sanders, Rudolf Fleischer, Paul R. Cohen, Doina Precup. Experimental Algorithmics 2000, 93-126. Web SearchBibTeXDownload |
| 1997 |
| 2 | How to Find Big-Oh in Your Data Set (and How Not to). Catherine C. McGeoch, Doina Precup, Paul R. Cohen. IDA 1997, 41-52. Web SearchBibTeXDownload |
| 1 | Learning to Schedule Straight-Line Code. J. Eliot B. Moss, Paul E. Utgoff, John Cavazos, Doina Precup, Darko Stefanovic, Carla E. Brodley, David Scheeff. NIPS 1997. Web SearchBibTeX |