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ORCIDAyhan Demiriz
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2020 – today
- 2023
[i1]Ayhan Demiriz:
DiscoVars: A New Data Analysis Perspective - Application in Variable Selection for Clustering. CoRR abs/2304.03983 (2023)- 2020
- [j9]Zeynep Adak
, Ayhan Demiriz:
Hybridization of population-based ant colony optimization via data mining. Intell. Data Anal. 24(2): 291-307 (2020) - [c14]Ayhan Demiriz, Hamzeh Ahangari, Ozcan Ozturk:
Temperature-Aware Core Mapping for Heterogeneous 3D NoC Design Through Constraint Programming. PDP 2020: 312-318
2010 – 2019
- 2018
- [c13]Ayhan Demiriz:
Used Car Pricing and Beyond: A Survival Analysis Framework. AI4I 2018: 65-68 - 2017
- [c12]Ayhan Demiriz, Fatma Cantas:
Analyzing used-car web listings via text mining. IML 2017: 21:1-21:7 - 2016
- [j8]Ayhan Demiriz, Betul Ekizoglu:
Fuzzy rule-based analysis of spatio-temporal ATM usage data for fraud detection and prevention. J. Intell. Fuzzy Syst. 31(2): 805-813 (2016) - 2015
- [j7]Ayhan Demiriz, Nader Bagherzadeh, Abdulaziz Alhussein:
Using constraint programming for the design of network-on-chip architectures. Computing 97(6): 579-592 (2015) - [c11]Betul Ekizoglu, Ayhan Demiriz:
Fuzzy rule-based analysis of spatio-temporal ATM usage data for fraud detection and prevention. FSKD 2015: 1009-1014 - 2014
- [j6]Ayhan Demiriz, Nader Bagherzadeh, Özcan Özturk:
Voltage island based heterogeneous NoC design through constraint programming. Comput. Electr. Eng. 40(8): 307-316 (2014) - [c10]Ayhan Demiriz:
Demand Forecasting based on Pairwise Item Associations. Complex Adaptive Systems 2014: 261-268 - 2013
- [c9]Ayhan Demiriz, Nader Bagherzadeh:
On heterogeneous network-on-chip design based on constraint programming. NoCArc@MICRO 2013: 29-34 - [c8]Ayhan Demiriz, Nader Bagherzadeh, Abdulaziz Alhussien:
CPNoC: On Using Constraint Programming in Design of Network-on-Chip Architecture. PDP 2013: 486-493 - 2011
- [j5]Ayhan Demiriz, Gürdal Ertek, Tankut Atan, Ufuk Kula:
Re-mining item associations: Methodology and a case study in apparel retailing. Decis. Support Syst. 52(1): 284-293 (2011) - 2010
- [c7]Ayhan Demiriz, Gürdal Ertek, Tankut Atan, Ufuk Kula:
Re-mining Positive and Negative Association Mining Results. ICDM 2010: 101-114
2000 – 2009
- 2009
- [j4]Ayhan Demiriz, Ufuk Kula, Nevra Akbilek:
A framework for balanced service and cross-selling by using queuing science. J. Intell. Manuf. 20(2): 249-257 (2009) - [c6]Ayhan Demiriz, Ahmet Cihan, Ufuk Kula:
Analyzing Price Data to Determine Positive and Negative Product Associations. ICONIP (1) 2009: 846-855 - 2006
- [c5]Gürdal Ertek, Ayhan Demiriz:
A Framework for Visualizing Association Mining Results. ISCIS 2006: 593-602 - 2004
- [j3]Ayhan Demiriz:
Enhancing Product Recommender Systems on Sparse Binary Data. Data Min. Knowl. Discov. 9(2): 147-170 (2004) - 2002
- [j2]Ayhan Demiriz, Kristin P. Bennett, John Shawe-Taylor:
Linear Programming Boosting via Column Generation. Mach. Learn. 46(1-3): 225-254 (2002) - [j1]Gunnar Rätsch, Ayhan Demiriz, Kristin P. Bennett:
Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces. Mach. Learn. 48(1-3): 189-218 (2002) - [c4]Ayhan Demiriz:
webSPADE: A Parallel Sequence Mining Algorithm to Analyze Web Log Data. ICDM 2002: 755-758 - [c3]Kristin P. Bennett, Ayhan Demiriz, Richard Maclin:
Exploiting unlabeled data in ensemble methods. KDD 2002: 289-296 - 2000
- [c2]Kristin P. Bennett, Ayhan Demiriz, John Shawe-Taylor:
A Column Generation Algorithm For Boosting. ICML 2000: 65-72
1990 – 1999
- 1998
- [c1]Kristin P. Bennett, Ayhan Demiriz:
Semi-Supervised Support Vector Machines. NIPS 1998: 368-374
Coauthor Index
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