| Risk assessment in social lending via random forests M Malekipirbazari, V Aksakalli Expert systems with applications 42 (10), 4621-4631, 2015 | 541 | 2015 |
| 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 | 107 | 2022 |
| Optimizing direct response in Internet display advertising V Aksakallı Electronic Commerce Research and Applications 11 (3), 229-240, 2012 | 75 | 2012 |
| 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 | 67 | 2013 |
| Optimal any-angle pathfinding in practice DD Harabor, A Grastien, D Öz, V Aksakalli Journal of Artificial Intelligence Research 56, 89-118, 2016 | 60 | 2016 |
| 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 | 38 | 2014 |
| Feature selection via binary simultaneous perturbation stochastic approximation V Aksakalli, M Malekipirbazari Pattern Recognition Letters 75, 41-47, 2016 | 32 | 2016 |
| 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 | 28 | 2016 |
| 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 | 28 | 2007 |
| 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 | 26 | 2021 |
| 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 | 20 | 2014 |
| 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 | 20 | 2011 |
| The BAO* algorithm for stochastic shortest path problems with dynamic learning V Aksakalli 2007 46th IEEE Conference on Decision and Control, 6003-6008, 2007 | 19 | 2007 |
| An anchorage planning strategy with safety and utilization considerations D Oz, V Aksakalli, AF Alkaya, V Aydogdu Computers & Operations Research 62, 12-22, 2015 | 18 | 2015 |
| Optimal obstacle placement with disambiguations V Aksakalli, E Ceyhan | 17 | 2012 |
| A stochastic approximation approach to spatio-temporal anchorage planning with multiple objectives B Madadi, V Aksakalli Expert Systems with Applications 146, 113170, 2020 | 15 | 2020 |
| Penalty-based algorithms for the stochastic obstacle scene problem V Aksakalli, I Ari INFORMS Journal on Computing 26 (2), 370-384, 2014 | 13 | 2014 |
| 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 | 12 | 2019 |
| A penalty search algorithm for the obstacle neutralization problem AF Alkaya, V Aksakalli, CE Priebe Computers & Operations Research 53, 165-175, 2015 | 12 | 2015 |
| A machine learning platform for the discovery of materials CE Belle, V Aksakalli, SP Russo Journal of Cheminformatics 13 (1), 42, 2021 | 9 | 2021 |
