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Dervis Karaboga
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2020 – today
- 2024
- [j63]Meryem Altin Karagöz, Özkan Ufuk Nalbantoglu, Dervis Karaboga, Bahriye Akay, Alper Bastürk, Halil Ulutabanca, Serap Dogan, Damla Coskun, Osman Demir:
Deep learning-based breast cancer diagnosis with multiview of mammography screening to reduce false positive recall rate. Turkish J. Electr. Eng. Comput. Sci. 32(3): 382-402 (2024) - [j62]Mohammed Lubbad, Dervis Karaboga, Alper Bastürk, Bahriye Akay, Özkan U. Nalbantoglu, Ishak Paçal:
Machine learning applications in detection and diagnosis of urology cancers: a systematic literature review. Neural Comput. Appl. 36(12): 6355-6379 (2024) - 2023
- [j61]Ahmet Karaman, Dervis Karaboga, Ishak Paçal, Bahriye Akay, Alper Bastürk, Özkan Ufuk Nalbantoglu, Seymanur Coskun, Omur Sahin:
Hyper-parameter optimization of deep learning architectures using artificial bee colony (ABC) algorithm for high performance real-time automatic colorectal cancer (CRC) polyp detection. Appl. Intell. 53(12): 15603-15620 (2023) - [j60]Damla Coskun, Dervis Karaboga, Alper Bastürk, Bahriye Akay, Özkan Ufuk Nalbantoglu, Serap Dogan, Ishak Paçal, Meryem Altin Karagöz:
A comparative study of YOLO models and a transformer-based YOLOv5 model for mass detection in mammograms. Turkish J. Electr. Eng. Comput. Sci. 31(7): 1294-1313 (2023) - [j59]Ahmet Karaman, Ishak Paçal, Alper Bastürk, Bahriye Akay, Özkan Ufuk Nalbantoglu, Seymanur Coskun, Omur Sahin, Dervis Karaboga:
Robust real-time polyp detection system design based on YOLO algorithms by optimizing activation functions and hyper-parameters with artificial bee colony (ABC). Expert Syst. Appl. 221: 119741 (2023) - [j58]Meryem Altin Karagöz, Bahriye Akay, Alper Bastürk, Dervis Karaboga, Özkan U. Nalbantoglu:
An unsupervised transfer learning model based on convolutional auto encoder for non-alcoholic steatohepatitis activity scoring and fibrosis staging of liver histopathological images. Neural Comput. Appl. 35(14): 10605-10619 (2023) - [j57]Mehmet Bilim, Dervis Karaboga:
Improved Chernoff Bound of Gaussian Q-function with ABC algorithm and its QAM applications to DB SC and MRC systems over Beaulieu-Xie channels. Phys. Commun. 58: 102034 (2023) - [j56]Florenc Skuka, Ahmet Nusret Toprak, Dervis Karaboga:
Extending the depth of field of imaging systems using depth sensing camera. Signal Image Video Process. 17(2): 323-331 (2023) - 2022
- [j55]Bahriye Akay, Dervis Karaboga, Rüstü Akay:
A comprehensive survey on optimizing deep learning models by metaheuristics. Artif. Intell. Rev. 55(2): 829-894 (2022) - [j54]Demet Alici-Karaca, Bahriye Akay, Arzu Yay, Pinar Suna, Özkan Ufuk Nalbantoglu, Dervis Karaboga, Alper Bastürk, Esra Balcioglu, Munevver Baran:
A new lightweight convolutional neural network for radiation-induced liver disease classification. Biomed. Signal Process. Control. 73: 103463 (2022) - [j53]Ishak Paçal, Ahmet Karaman, Dervis Karaboga, Bahriye Akay, Alper Bastürk, Özkan Ufuk Nalbantoglu, Seymanur Coskun:
An efficient real-time colonic polyp detection with YOLO algorithms trained by using negative samples and large datasets. Comput. Biol. Medicine 141: 105031 (2022) - [j52]Ebubekir Kaya, Beyza Görkemli, Bahriye Akay, Dervis Karaboga:
A review on the studies employing artificial bee colony algorithm to solve combinatorial optimization problems. Eng. Appl. Artif. Intell. 115: 105311 (2022) - 2021
- [j51]Bahriye Akay, Dervis Karaboga, Beyza Görkemli, Ebubekir Kaya:
A survey on the Artificial Bee Colony algorithm variants for binary, integer and mixed integer programming problems. Appl. Soft Comput. 106: 107351 (2021) - [j50]Ishak Paçal, Dervis Karaboga:
A robust real-time deep learning based automatic polyp detection system. Comput. Biol. Medicine 134: 104519 (2021) - 2020
- [j49]Selcuk Aslan, Dervis Karaboga:
A genetic Artificial Bee Colony algorithm for signal reconstruction based big data optimization. Appl. Soft Comput. 88: 106053 (2020) - [j48]Selcuk Aslan, Dervis Karaboga, Hasan Badem:
A new artificial bee colony algorithm employing intelligent forager forwarding strategies. Appl. Soft Comput. 96: 106656 (2020) - [j47]Ishak Paçal, Dervis Karaboga, Alper Bastürk, Bahriye Akay, Özkan Ufuk Nalbantoglu:
A comprehensive review of deep learning in colon cancer. Comput. Biol. Medicine 126: 104003 (2020) - [j46]Dervis Karaboga, Ebubekir Kaya:
Estimation of number of foreign visitors with ANFIS by using ABC algorithm. Soft Comput. 24(10): 7579-7591 (2020) - [j45]Yassine Boudouaoui, Hacene Habbi, Celal Öztürk, Dervis Karaboga:
Solving differential equations with artificial bee colony programming. Soft Comput. 24(23): 17991-18007 (2020) - [j44]Abdullah Caliskan, Zeynel Abidin Çil, Hasan Badem, Dervis Karaboga:
Regression-Based Neuro-Fuzzy Network Trained by ABC Algorithm for High-Density Impulse Noise Elimination. IEEE Trans. Fuzzy Syst. 28(6): 1084-1095 (2020)
2010 – 2019
- 2019
- [j43]Dervis Karaboga, Ebubekir Kaya:
Adaptive network based fuzzy inference system (ANFIS) training approaches: a comprehensive survey. Artif. Intell. Rev. 52(4): 2263-2293 (2019) - [j42]Dervis Karaboga, Beyza Görkemli:
Solving Traveling Salesman Problem by Using Combinatorial Artificial Bee Colony Algorithms. Int. J. Artif. Intell. Tools 28(1): 1950004:1-1950004:28 (2019) - [j41]Beyza Görkemli, Dervis Karaboga:
A quick semantic artificial bee colony programming (qsABCP) for symbolic regression. Inf. Sci. 502: 346-362 (2019) - [j40]Dervis Karaboga, Selcuk Aslan:
Discovery of conserved regions in DNA sequences by Artificial Bee Colony (ABC) algorithm based methods. Nat. Comput. 18(2): 333-350 (2019) - [j39]Selcuk Aslan, Hasan Badem, Dervis Karaboga:
Improved quick artificial bee colony (iqABC) algorithm for global optimization. Soft Comput. 23(24): 13161-13182 (2019) - 2018
- [j38]Emrah Hancer, Bing Xue, Mengjie Zhang, Dervis Karaboga, Bahriye Akay:
Pareto front feature selection based on artificial bee colony optimization. Inf. Sci. 422: 462-479 (2018) - [j37]Fatima Harfouchi, Hacene Habbi, Celal Öztürk, Dervis Karaboga:
Modified multiple search cooperative foraging strategy for improved artificial bee colony optimization with robustness analysis. Soft Comput. 22(19): 6371-6394 (2018) - 2017
- [j36]Dervis Karaboga, Ebubekir Kaya:
Training ANFIS by using the artificial bee colony algorithm. Turkish J. Electr. Eng. Comput. Sci. 25: 1669-1679 (2017) - [j35]Emrah Hancer, Dervis Karaboga:
A comprehensive survey of traditional, merge-split and evolutionary approaches proposed for determination of cluster number. Swarm Evol. Comput. 32: 49-67 (2017) - 2016
- [j34]Dervis Karaboga, Ebubekir Kaya:
An adaptive and hybrid artificial bee colony algorithm (aABC) for ANFIS training. Appl. Soft Comput. 49: 423-436 (2016) - [j33]Mete Celik, Fehim Köylü, Dervis Karaboga:
CoABCMiner: An Algorithm for Cooperative Rule Classification System Based on Artificial Bee Colony. Int. J. Artif. Intell. Tools 25(1): 1550028:1-1550028:50 (2016) - [c18]Selcuk Aslan, Dervis Karaboga, Mustafa Dogruer:
Accelerating search tree based brute force motif discovery technique on a processor cluster. SIU 2016: 793-796 - [c17]Dervis Karaboga, Selcuk Aslan:
A new emigrant creation strategy based on local best sources for parallel Artificial Bee Colony algorithm. SIU 2016: 901-904 - 2015
- [j32]Celal Öztürk, Emrah Hancer, Dervis Karaboga:
Dynamic clustering with improved binary artificial bee colony algorithm. Appl. Soft Comput. 28: 69-80 (2015) - [j31]Emrah Hancer, Bing Xue, Dervis Karaboga, Mengjie Zhang:
A binary ABC algorithm based on advanced similarity scheme for feature selection. Appl. Soft Comput. 36: 334-348 (2015) - [j30]Marjan Mernik, Shih-Hsi Liu, Dervis Karaboga, Matej Crepinsek:
On clarifying misconceptions when comparing variants of the Artificial Bee Colony Algorithm by offering a new implementation. Inf. Sci. 291: 115-127 (2015) - [j29]Hacene Habbi, Yassine Boudouaoui, Dervis Karaboga, Celal Öztürk:
Self-generated fuzzy systems design using artificial bee colony optimization. Inf. Sci. 295: 145-159 (2015) - [j28]Celal Öztürk, Emrah Hancer, Dervis Karaboga:
A novel binary artificial bee colony algorithm based on genetic operators. Inf. Sci. 297: 154-170 (2015) - [j27]Celal Öztürk, Emrah Hancer, Dervis Karaboga:
Improved clustering criterion for image clustering with artificial bee colony algorithm. Pattern Anal. Appl. 18(3): 587-599 (2015) - [j26]Bahriye Akay, Dervis Karaboga:
A survey on the applications of artificial bee colony in signal, image, and video processing. Signal Image Video Process. 9(4): 967-990 (2015) - [c16]Emrah Hancer, Bing Xue, Mengjie Zhang, Dervis Karaboga, Bahriye Akay:
A multi-objective artificial bee colony approach to feature selection using fuzzy mutual information. CEC 2015: 2420-2427 - 2014
- [j25]Dervis Karaboga, Beyza Görkemli, Celal Öztürk, Nurhan Karaboga:
A comprehensive survey: artificial bee colony (ABC) algorithm and applications. Artif. Intell. Rev. 42(1): 21-57 (2014) - [j24]Dervis Karaboga, Beyza Görkemli:
A quick artificial bee colony (qABC) algorithm and its performance on optimization problems. Appl. Soft Comput. 23: 227-238 (2014) - [j23]Celal Öztürk, Emrah Hancer, Dervis Karaboga:
Color Image Quantization: A Short Review and an Application with Artificial Bee Colony Algorithm. Informatica 25(3): 485-503 (2014) - [c15]Emrah Hancer, Refik Samet, Dervis Karaboga:
A hybrid method to the reconstruction of contour lines from scanned topographic maps. ISIE 2014: 930-933 - [c14]Dervis Karaboga, Ebubekir Kaya:
Training ANFIS using artificial bee colony algorithm for nonlinear dynamic systems identification. SIU 2014: 493-496 - 2013
- [c13]Fehim Köylü, Mete Celik, Dervis Karaboga:
Performance analysis of ABCMiner algorithm with different objective functions. SIU 2013: 1-5 - 2012
- [j22]Bahriye Akay, Dervis Karaboga:
A modified Artificial Bee Colony algorithm for real-parameter optimization. Inf. Sci. 192: 120-142 (2012) - [j21]Dervis Karaboga, Celal Öztürk, Nurhan Karaboga, Beyza Görkemli:
Artificial bee colony programming for symbolic regression. Inf. Sci. 209: 1-15 (2012) - [j20]Bahriye Akay, Dervis Karaboga:
Artificial bee colony algorithm for large-scale problems and engineering design optimization. J. Intell. Manuf. 23(4): 1001-1014 (2012) - [j19]Dervis Karaboga, Selcuk Okdem, Celal Öztürk:
Cluster based wireless sensor network routing using artificial bee colony algorithm. Wirel. Networks 18(7): 847-860 (2012) - [c12]Emrah Hancer, Celal Öztürk, Dervis Karaboga:
Artificial Bee Colony based image clustering method. IEEE Congress on Evolutionary Computation 2012: 1-5 - 2011
- [j18]Dervis Karaboga, Celal Öztürk:
A novel clustering approach: Artificial Bee Colony (ABC) algorithm. Appl. Soft Comput. 11(1): 652-657 (2011) - [j17]Dervis Karaboga, Bahriye Akay:
A modified Artificial Bee Colony (ABC) algorithm for constrained optimization problems. Appl. Soft Comput. 11(3): 3021-3031 (2011) - [j16]N. Taspnar, Dervis Karaboga, Mahmut Yildirim, Bahriye Akay:
Partial transmit sequences based on artificial bee colony algorithm for peak-to-average power ratio reduction in multicarrier code division multiple access systems. IET Commun. 5(8): 1155-1162 (2011) - [j15]Celal Öztürk, Dervis Karaboga, Beyza Görkemli:
Probabilistic Dynamic Deployment of Wireless Sensor Networks by Artificial Bee Colony Algorithm. Sensors 11(6): 6056-6065 (2011) - [c11]Celal Öztürk, Dervis Karaboga:
Hybrid Artificial Bee Colony algorithm for neural network training. IEEE Congress on Evolutionary Computation 2011: 84-88 - [c10]Bahriye Akay, Dervis Karaboga:
Wavelet packets optimization using Artificial Bee Colony algorithm. IEEE Congress on Evolutionary Computation 2011: 89-94 - [c9]Selcuk Okdem, Dervis Karaboga, Celal Öztürk:
An application of Wireless Sensor Network routing based on Artificial Bee Colony Algorithm. IEEE Congress on Evolutionary Computation 2011: 326-330 - 2010
- [j14]Dervis Karaboga:
Artificial bee colony algorithm. Scholarpedia 5(3): 6915 (2010) - [c8]Dervis Karaboga, Selcuk Okdem, Celal Öztürk:
Cluster based wireless sensor network routings using Artificial Bee Colony Algorithm. AIS 2010: 1-5
2000 – 2009
- 2009
- [j13]Dervis Karaboga, Bahriye Akay:
A survey: algorithms simulating bee swarm intelligence. Artif. Intell. Rev. 31(1-4): 61-85 (2009) - [j12]Dervis Karaboga, Bahriye Akay:
A comparative study of Artificial Bee Colony algorithm. Appl. Math. Comput. 214(1): 108-132 (2009) - [j11]Selcuk Okdem, Dervis Karaboga:
Routing in Wireless Sensor Networks Using an Ant Colony Optimization (ACO) Router Chip. Sensors 9(2): 909-921 (2009) - [c7]Bahriye Akay, Dervis Karaboga:
Solving Integer Programming Problems by Using Artificial Bee Colony Algorithm. AI*IA 2009: 355-364 - [c6]Bahriye Akay, Dervis Karaboga:
Parameter Tuning for the Artificial Bee Colony Algorithm. ICCCI 2009: 608-619 - 2008
- [j10]Dervis Karaboga, Aytekin Bagis, Tefaruk Haktanir:
Controlling spillway gates of dams by using fuzzy logic controller with optimum rule number. Appl. Soft Comput. 8(1): 232-238 (2008) - [j9]Dervis Karaboga, Bahriye Basturk:
On the performance of artificial bee colony (ABC) algorithm. Appl. Soft Comput. 8(1): 687-697 (2008) - 2007
- [j8]Aytekin Bagis, Dervis Karaboga:
Evolutionary algorithm-based fuzzy PD control of spillway gates of dams. J. Frankl. Inst. 344(8): 1039-1055 (2007) - [j7]Dervis Karaboga, Bahriye Basturk:
A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. J. Glob. Optim. 39(3): 459-471 (2007) - [c5]Dervis Karaboga, Bahriye Basturk:
Artificial Bee Colony (ABC) Optimization Algorithm for Solving Constrained Optimization Problems. IFSA (1) 2007: 789-798 - [c4]Dervis Karaboga, Bahriye Akay, Celal Öztürk:
Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks. MDAI 2007: 318-329 - 2006
- [j6]Ilke Turkmen, Kerim Güney, Dervis Karaboga:
Genetic tracker with neural network for single and multiple target tracking. Neurocomputing 69(16-18): 2309-2319 (2006) - [c3]Selcuk Okdem, Dervis Karaboga:
Routing in Wireless Sensor Networks Using Ant Colony Optimization. AHS 2006: 401-404 - 2005
- [c2]Ulvi Dagdelen, Aytekin Bagis, Dervis Karaboga:
An Efficient Control Method for Elevator Group Control System. CIS (2) 2005: 1042-1047 - [c1]Ulvi Dagdelen, Aytekin Bagis, Dervis Karaboga:
Elevator Group Control by Using Talented Algorithm. TAINN 2005: 203-210 - 2004
- [j5]Nurhan Karaboga, Adem Kalinli, Dervis Karaboga:
Designing digital IIR filters using ant colony optimisation algorithm. Eng. Appl. Artif. Intell. 17(3): 301-309 (2004) - [j4]Adem Kalinli, Dervis Karaboga:
Training recurrent neural networks by using parallel tabu search algorithm based on crossover operation. Eng. Appl. Artif. Intell. 17(5): 529-542 (2004)
1990 – 1999
- 1999
- [j3]Duc Truong Pham, Dervis Karaboga:
Training Elman and Jordan networks for system identification using genetic algorithms. Artif. Intell. Eng. 13(2): 107-117 (1999) - [j2]Duc Truong Pham, Dervis Karaboga:
Self-tuning fuzzy controller design using genetic optimisation and neural network modelling. Artif. Intell. Eng. 13(2): 119-130 (1999) - 1998
- [j1]Duc Truong Pham, Dervis Karaboga:
Cross breeding in genetic optimisation and its application to fuzzy logic controller design. Artif. Intell. Eng. 12(1-2): 15-20 (1998)
Coauthor Index
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last updated on 2024-10-07 22:09 CEST by the dblp team
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