Artificial Bee Colony (ABC) Optimization Algorithm for Solving Constrained Optimization Problems. - Dervis Karaboga; Bahriye Basturk (IFSA (1), 2007)

Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks. - Dervis Karaboga; Bahriye Akay; Celal Öztürk (MDAI, 2007)

A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. - Dervis Karaboga; Bahriye Basturk (J. Glob. Optim., 2007)

On the performance of artificial bee colony (ABC) algorithm. - Dervis Karaboga; Bahriye Basturk (Appl. Soft Comput., 2008)

Solving Integer Programming Problems by Using Artificial Bee Colony Algorithm. - Bahriye Akay; Dervis Karaboga (AI*IA, 2009)

Parameter Tuning for the Artificial Bee Colony Algorithm. - Bahriye Akay; Dervis Karaboga (ICCCI, 2009)

A survey: algorithms simulating bee swarm intelligence. - Dervis Karaboga; Bahriye Akay (Artif. Intell. Rev., 2009)

A comparative study of Artificial Bee Colony algorithm. - Dervis Karaboga; Bahriye Akay (Appl. Math. Comput., 2009)

Nümerik optimizasyon problemlerinde yapay arı kolonisi (artıfıcıal bee colony) algoritmasının performans analizi (Performance analysis of artificial bee colony algorithm on numerical optimization problems) - Bahriye Akay (2009)

Wavelet packets optimization using Artificial Bee Colony algorithm. - Bahriye Akay; Dervis Karaboga (IEEE Congress on Evolutionary Computation, 2011)

A modified Artificial Bee Colony (ABC) algorithm for constrained optimization problems. - Dervis Karaboga; Bahriye Akay (Appl. Soft Comput., 2011)

Partial transmit sequences based on artificial bee colony algorithm for peak-to-average power ratio reduction in multicarrier code division multiple access systems. - N. Taspnar; Dervis Karaboga; Mahmut Yildirim; Bahriye Akay (IET Commun., 2011)

Structural optimization of wavelet packets using swarm algorithms. - Bahriye Akay; Ibrahim Kirmizi (IEEE Congress on Evolutionary Computation, 2012)

A modified Artificial Bee Colony algorithm for real-parameter optimization. - Bahriye Akay; Dervis Karaboga (Inf. Sci., 2012)

Artificial bee colony algorithm for large-scale problems and engineering design optimization. - Bahriye Akay; Dervis Karaboga (J. Intell. Manuf., 2012)

A study on particle swarm optimization and artificial bee colony algorithms for multilevel thresholding. - Bahriye Akay (Appl. Soft Comput., 2013)

Synchronous and asynchronous Pareto-based multi-objective Artificial Bee Colony algorithms. - Bahriye Akay (J. Glob. Optim., 2013)

Recent Advances in Evolutionary Algorithms for Job Shop Scheduling. - Bahriye Akay; Xin Yao 001 (Automated Scheduling and Planning, 2013)

A multi-objective artificial bee colony approach to feature selection using fuzzy mutual information. - Emrah Hancer; Bing Xue 001; Mengjie Zhang 001; Dervis Karaboga; Bahriye Akay (CEC, 2015)

A survey on the applications of artificial bee colony in signal, image, and video processing. - Bahriye Akay; Dervis Karaboga (Signal Image Video Process., 2015)

Ogrenme-Ogretme Temelli ve Armoni Arama Algoritmalari ile Test Verisi Uretimi. - Bahriye Akay; Omur Sahin (UYMS, 2016)

Comparisons of metaheuristic algorithms and fitness functions on software test data generation. - Omur Sahin; Bahriye Akay (Appl. Soft Comput., 2016)

Pareto front feature selection based on artificial bee colony optimization. - Emrah Hancer; Bing Xue 001; Mengjie Zhang 001; Dervis Karaboga; Bahriye Akay (Inf. Sci., 2018)

A survey and systematic categorization of parallel K-means and fuzzy-c-means algorithms. - Ahmed A. M. Jamel; Bahriye Akay (Comput. Syst. Sci. Eng., 2019)

Spam filtering using a logistic regression model trained by an artificial bee colony algorithm. - Bilge Kagan Dedeturk; Bahriye Akay (Appl. Soft Comput., 2020)

A comprehensive review of deep learning in colon cancer. - Ishak Paçal; Dervis Karaboga; Alper Bastürk; Bahriye Akay; Özkan Ufuk Nalbantoglu (Comput. Biol. Medicine, 2020)

Human Activity Recognition Based on Parallel Approximation Kernel K-Means Algorithm. - Ahmed A. M. Jamel; Bahriye Akay (Comput. Syst. Sci. Eng., 2020)

A survey on the Artificial Bee Colony algorithm variants for binary, integer and mixed integer programming problems. - Bahriye Akay; Dervis Karaboga; Beyza Görkemli; Ebubekir Kaya (Appl. Soft Comput., 2021)

A Discrete Dynamic Artificial Bee Colony with Hyper-Scout for RESTful web service API test suite generation. - Omur Sahin; Bahriye Akay (Appl. Soft Comput., 2021)

A survey on the Metaheuristics for Cryptanalysis of Substitution and Transposition Ciphers. - Arkan Kh Shakr Sabonchi; Bahriye Akay (Comput. Syst. Sci. Eng., 2021)

A comprehensive survey on optimizing deep learning models by metaheuristics. - Bahriye Akay; Dervis Karaboga; Rüstü Akay (Artif. Intell. Rev., 2022)

A new lightweight convolutional neural network for radiation-induced liver disease classification. - Demet Alici-Karaca; Bahriye Akay; Arzu Yay; Pinar Suna; Özkan Ufuk Nalbantoglu; Dervis Karaboga; Alper Bastürk; Esra Balcioglu; Munevver Baran (Biomed. Signal Process. Control., 2022)

An efficient real-time colonic polyp detection with YOLO algorithms trained by using negative samples and large datasets. - Ishak Paçal; Ahmet Karaman; Dervis Karaboga; Bahriye Akay; Alper Bastürk; Özkan Ufuk Nalbantoglu; Seymanur Coskun (Comput. Biol. Medicine, 2022)

A review on the studies employing artificial bee colony algorithm to solve combinatorial optimization problems. - Ebubekir Kaya; Beyza Görkemli; Bahriye Akay; Dervis Karaboga (Eng. Appl. Artif. Intell., 2022)

An unsupervised transfer learning model based on convolutional auto encoder for non-alcoholic steatohepatitis activity scoring and fibrosis staging of liver histopathological images. - Meryem Altin Karagöz; Bahriye Akay; Alper Bastürk; Dervis Karaboga; Özkan U. Nalbantoglu (Neural Comput. Appl., 2023)

Hyper-parameter optimization of deep learning architectures using artificial bee colony (ABC) algorithm for high performance real-time automatic colorectal cancer (CRC) polyp detection. - Ahmet Karaman; Dervis Karaboga; Ishak Paçal; Bahriye Akay; Alper Bastürk; Özkan Ufuk Nalbantoglu; Seymanur Coskun; Omur Sahin (Appl. Intell., 2023)

Robust real-time polyp detection system design based on YOLO algorithms by optimizing activation functions and hyper-parameters with artificial bee colony (ABC). - Ahmet Karaman; Ishak Paçal; Alper Bastürk; Bahriye Akay; Özkan Ufuk Nalbantoglu; Seymanur Coskun; Omur Sahin; Dervis Karaboga (Expert Syst. Appl., 2023)

A comparative study of YOLO models and a transformer-based YOLOv5 model for mass detection in mammograms. - Damla Coskun; Dervis Karaboga; Alper Bastürk; Bahriye Akay; Özkan Ufuk Nalbantoglu; Serap Dogan; Ishak Paçal; Meryem Altin Karagöz (Turkish J. Electr. Eng. Comput. Sci., 2023)

An Efficient Deep Learning Model for Prostate Cancer Diagnosis. - Demet Alici-Karaca; Bahriye Akay (IEEE Access, 2024)

Deep learning-based breast cancer diagnosis with multiview of mammography screening to reduce false positive recall rate. - Meryem Altin Karagöz; Özkan Ufuk Nalbantoglu; Dervis Karaboga; Bahriye Akay; Alper Bastürk; Halil Ulutabanca; Serap Dogan; Damla Coskun; Osman Demir (Turkish J. Electr. Eng. Comput. Sci., 2024)

Machine learning applications in detection and diagnosis of urology cancers: a systematic literature review. - Mohammed Lubbad; Dervis Karaboga; Alper Bastürk; Bahriye Akay; Özkan U. Nalbantoglu; Ishak Paçal (Neural Comput. Appl., 2024)

Handling heterogeneity in Human Activity Recognition data by a compact Long Short Term Memory based deep learning approach. - Ahmed Cemiloglu; Bahriye Akay (Eng. Appl. Artif. Intell., 2025)

A review on the versions of artificial bee colony algorithm for scheduling problems. - Beyza Görkemli; Ebubekir Kaya; Dervis Karaboga; Bahriye Akay (J. Comb. Optim., 2025)