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D. V. Aksakalli
D. V. Aksakalli
Verified email at rmit.edu.au
Title
Cited by
Cited by
Year
Risk assessment in social lending via random forests
M Malekipirbazari, V Aksakalli
Expert Systems with Applications 42 (10), 4621-4631, 2015
4922015
Optimizing direct response in Internet display advertising
V Aksakallı
Electronic Commerce Research and Applications 11 (3), 229-240, 2012
692012
The secondary use of electronic health records for data mining: Data characteristics and challenges
T Sarwar, S Seifollahi, J Chan, X Zhang, V Aksakalli, I Hudson, ...
ACM Computing Surveys (CSUR) 55 (2), 1-40, 2022
632022
Optimal ship navigation with safety distance and realistic turn constraints
I Ari, V Aksakalli, V Aydogdu, S Kum
European Journal of Operational Research 229 (3), 707-717, 2013
592013
Optimal any-angle pathfinding in practice
DD Harabor, A Grastien, D Öz, V Aksakalli
Journal of Artificial Intelligence Research 56, 89-118, 2016
522016
Algorithm-embedded IT applications for an emerging knowledge city: Istanbul, Turkey
M Bulu, MA Önder, V Aksakalli
Expert Systems with Applications 41 (12), 5625-5635, 2014
372014
Feature selection via binary simultaneous perturbation stochastic approximation
V Aksakalli, M Malekipirbazari
Pattern Recognition Letters 75, 41-47, 2016
312016
Disambiguation protocols based on risk simulation
DE Fishkind, CE Priebe, KE Giles, LN Smith, V Aksakalli
IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2007
302007
An AO* Based Exact Algorithm for the Canadian Traveler Problem
V Aksakalli, OF Sahin, I Ari
INFORMS Journal on Computing 28 (1), 96-111, 2016
222016
Performance of migrating birds optimization algorithm on continuous functions
AF Alkaya, R Algin, Y Sahin, M Agaoglu, V Aksakalli
Advances in Swarm Intelligence: 5th International Conference, ICSI 2014 …, 2014
202014
The reset disambiguation policy for navigating stochastic obstacle fields
V Aksakalli, DE Fishkind, CE Priebe, X Ye
Naval Research Logistics (NRL) 58 (4), 389-399, 2011
202011
Performance comparison of feature selection and extraction methods with random instance selection
M Malekipirbazari, V Aksakalli, W Shafqat, A Eberhard
Expert Systems with Applications 179, 115072, 2021
182021
Optimal obstacle placement with disambiguations
V Aksakalli, E Ceyhan
182012
The BAO* algorithm for stochastic shortest path problems with dynamic learning
V Aksakalli
2007 46th IEEE Conference on Decision and Control, 6003-6008, 2007
182007
An anchorage planning strategy with safety and utilization considerations
D Oz, V Aksakalli, AF Alkaya, V Aydogdu
Computers & Operations Research 62, 12-22, 2015
132015
A penalty search algorithm for the obstacle neutralization problem
AF Alkaya, V Aksakalli, CE Priebe
Computers & Operations Research 53, 165-175, 2015
132015
Penalty-based algorithms for the stochastic obstacle scene problem
V Aksakalli, I Ari
INFORMS Journal on Computing 26 (2), 370-384, 2014
122014
Bayesian logistic regression approaches to predict incorrect DRG assignment
M Suleiman, H Demirhan, L Boyd, F Girosi, V Aksakalli
Health care management science 22, 364-375, 2019
112019
A stochastic approximation approach to spatio-temporal anchorage planning with multiple objectives
B Madadi, V Aksakalli
Expert Systems with Applications 146, 113170, 2020
102020
SPSA-FSR: Simultaneous perturbation stochastic approximation for feature selection and ranking
ZD Yenice, N Adhikari, YK Wong, V Aksakalli, AT Gumus, B Abbasi
arXiv preprint arXiv:1804.05589, 2018
92018
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Articles 1–20