 | 2009 |
| 31 |  | Tolga Aydin,
H. Altay Güvenir:
Modeling interestingness of streaming association rules as a benefit-maximizing classification problem.
Knowl.-Based Syst. 22(1): 85-99 (2009) |
| 2006 |
| 30 |  | Thomas Roth-Berghofer,
Mehmet H. Göker,
H. Altay Güvenir:
Advances in Case-Based Reasoning, 8th European Conference, ECCBR 2006, Fethiye, Turkey, September 4-7, 2006, Proceedings
Springer 2006 |
| 2005 |
| 29 |  | Tolga Aydin,
H. Altay Güvenir:
Modeling Interestingness of Streaming Classification Rules as a Classification Problem.
TAINN 2005: 168-176 |
| 2004 |
| 28 |  | Tolga Aydin,
H. Altay Güvenir:
Learning Interestingness of Streaming Classification Rules.
ISCIS 2004: 62-71 |
| 27 |  | Ilhan Uysal,
H. Altay Güvenir:
Instance-Based Regression by Partitioning Feature Projections.
Appl. Intell. 21(1): 57-79 (2004) |
| 26 |  | H. Altay Güvenir,
Narin Emeksiz,
Nazli Ikizler,
Necati Örmeci:
Diagnosis of gastric carcinoma by classification on feature projections.
Artificial Intelligence in Medicine 31(3): 231-240 (2004) |
| 2003 |
| 25 |  | Nazli Ikizler,
H. Altay Güvenir:
Maximizing Benefit of Classifications Using Feature Intervals.
KES 2003: 339-345 |
| 24 |  | Kemal Altintas,
H. Altay Güvenir:
Learning Translation Templates for Closely Related Languages.
KES 2003: 756-762 |
| 2002 |
| 23 |  | Bertan Ari,
H. Altay Güvenir:
Clustered linear regression.
Knowl.-Based Syst. 15(3): 169-175 (2002) |
| 2001 |
| 22 |  | Tolga Aydin,
H. Altay Güvenir:
An Eager Regression Method Based on Selecting Appropriate Features.
FLAIRS Conference 2001: 361-366 |
| 21 |  | Tolga Aydin,
H. Altay Güvenir:
An Eager Regression Method Based on Best Feature Projections.
IEA/AIE 2001: 217-226 |
| 20 |  | Ilyas Cicekli,
H. Altay Güvenir:
Learning Translation Templates from Bilingual Translation Examples.
Appl. Intell. 15(1): 57-76 (2001) |
| 2000 |
| 19 |  | H. Altay Güvenir,
Ilhan Uysal:
Regression on feature projections.
Knowl.-Based Syst. 13(4): 207-214 (2000) |
| 1999 |
| 18 |  | Ilhan Uysal,
H. Altay Güvenir:
Regression by Feature Projections.
PKDD 1999: 568-573 |
| 1998 |
| 17 |  | H. Altay Güvenir:
A Classification Learning Algorithm Robust to Irrelevant Features.
AIMSA 1998: 281-290 |
| 16 |  | H. Altay Güvenir,
Gülsen Demiröz,
Nilsel Ilter:
Learning differential diagnosis of erythemato-squamous diseases using voting feature intervals.
Artificial Intelligence in Medicine 13(3): 147-165 (1998) |
| 15 |  | H. Altay Güvenir,
Hakime G. Koc:
Concept Representation with Overlapping Feature Intervals.
Cybernetics and Systems 29(3): 263-282 (1998) |
| 14 |  | H. Altay Güvenir,
Ilyas Cicekli:
Learning Translation Templates from Examples.
Inf. Syst. 23(6): 353-363 (1998) |
| 1997 |
| 13 |  | Gülsen Demiröz,
H. Altay Güvenir:
Classification by Voting Feature Intervals.
ECML 1997: 85-92 |
| 1996 |
| 12 |  | H. Altay Güvenir,
Aysegül Tunç:
Corpus-Based Learning of Generalized parse Tree Rules for Translation.
Canadian Conference on AI 1996: 121-132 |
| 11 |  | Aynur Akkus,
H. Altay Güvenir:
K Nearest Neighbor Classification on Feature Projections.
ICML 1996: 12-19 |
| 10 |  | Ilyas Cicekli,
H. Altay Güvenir:
Learning Translation Rules From A Bilingual Corpus
CoRR cmp-lg/9607027: (1996) |
| 9 |  | H. Altay Güvenir,
Izzet Sirin:
Classification by Feature Partitioning.
Machine Learning 23(1): 47-67 (1996) |
| 1995 |
| 8 |  | H. Altay Güvenir,
Kemal Oflazer:
Using a Corpus for Teaching Turkish Morphology
CoRR cmp-lg/9503001: (1995) |
| 1994 |
| 7 |  | Tevfik Aytekin,
Emin Erkan Korkmaz,
H. Altay Güvenir:
An Application of Genetic Programming to the 4-Op Problem Using Map-Trees.
Evo Workshops 1994: 28-40 |
| 1993 |
| 6 |  | H. Altay Güvenir,
Izzet Sirin:
Complexity of the CFP, a Method for Classification Based on Feature Partitioning.
AI*IA 1993: 202-207 |
| 5 |  | H. Altay Güvenir,
Izzet Sirin:
A Genetic Algorithm for Classification by Feature Partitioning.
ICGA 1993: 543-548 |
| 4 |  | Faruk Polat,
H. Altay Güvenir:
UVT: A Unification-Based Tool for Knowledge Base Verification.
IEEE Expert 8(3): 69-75 (1993) |
| 1992 |
| 3 |  | Faruk Polat,
H. Altay Güvenir:
A Conflict Resolution-Based Decentralized Multi-Agent Problem Solving Model.
MAAMAW 1992: 279-294 |
| 1991 |
| 2 |  | Faruk Polat,
H. Altay Güvenir:
UVT: A Unification Based Tool for Knowledge Base Verification.
EUROVAV 1991: 147-163 |
| 1990 |
| 1 |  | H. Altay Güvenir,
George W. Ernst:
Learning Problem Solving Strategies Using Refinement and Macro Generation.
Artif. Intell. 44(1-2): 209-243 (1990) |