Mining Fuzzy Classification Rules Using an Artificial Immune System with Boosting. - Bilal Alatas; Erhan Akin (ADBIS, 2005)

FCACO: Fuzzy Classification Rules Mining Algorithm with Ant Colony Optimization. - Bilal Alatas; Erhan Akin (ICNC (3), 2005)

Thinking Capability of Saplings Growing Up Algorithm. - Ali Karci; Bilal Alatas (IDEAL, 2006)

An efficient genetic algorithm for automated mining of both positive and negative quantitative association rules. - Bilal Alatas; Erhan Akin (Soft Comput., 2006)

Kaotik haritalı parçacık sürü optimizasyonu algoritmaları geliştirme (Development of chaotic maps embedded particle swarm optimization algorithms) - Bilal Alatas (2007)

MODENAR: Multi-objective differential evolution algorithm for mining numeric association rules. - Bilal Alatas; Erhan Akin; Ali Karci (Appl. Soft Comput., 2008)

Rough particle swarm optimization and its applications in data mining. - Bilal Alatas; Erhan Akin (Soft Comput., 2008)

Multi-objective rule mining using a chaotic particle swarm optimization algorithm. - Bilal Alatas; Erhan Akin (Knowl. Based Syst., 2009)

Chaotic harmony search algorithms. - Bilal Alatas (Appl. Math. Comput., 2010)

Chaotic bee colony algorithms for global numerical optimization. - Bilal Alatas (Expert Syst. Appl., 2010)

Photosynthetic algorithm approaches for bioinformatics. - Bilal Alatas (Expert Syst. Appl., 2011)

ACROA: Artificial Chemical Reaction Optimization Algorithm for global optimization. - Bilal Alatas (Expert Syst. Appl., 2011)

A novel chemistry based metaheuristic optimization method for mining of classification rules. - Bilal Alatas (Expert Syst. Appl., 2012)

Plant intelligence based metaheuristic optimization algorithms. - Sinem Akyol; Bilal Alatas (Artif. Intell. Rev., 2017)

Automatic Mining of Quantitative Association Rules with Gravitational Search Algorithm. - Umit Can; Bilal Alatas (Int. J. Softw. Eng. Knowl. Eng., 2017)

Sports inspired computational intelligence algorithms for global optimization. - Bilal Alatas (Artif. Intell. Rev., 2019)

A Physics Based Novel Approach for Travelling Tournament Problem: Optics Inspired Optimization. - Bilal Alatas; Harun Bingol (Inf. Technol. Control., 2019)

Bird swarm algorithms with chaotic mapping. - Elif Varol Altay; Bilal Alatas (Artif. Intell. Rev., 2020)

Performance analysis of multi-objective artificial intelligence optimization algorithms in numerical association rule mining. - Elif Varol Altay; Bilal Alatas (J. Ambient Intell. Humaniz. Comput., 2020)

Metaheuristic Ant Lion and Moth Flame Optimization-Based Novel Approach for Automatic Detection of Hate Speech in Online Social Networks. - Cem Baydogan; Bilal Alatas (IEEE Access, 2021)

Differential evolution and sine cosine algorithm based novel hybrid multi-objective approaches for numerical association rule mining. - Elif Varol Altay; Bilal Alatas (Inf. Sci., 2021)

New adaptive intelligent grey wolf optimizer based multi-objective quantitative classification rules mining approaches. - Güngör Yildirim; Bilal Alatas (J. Ambient Intell. Humaniz. Comput., 2021)

Adaptive Salp swarm optimization algorithms with inertia weights for novel fake news detection model in online social media. - Feyza Altunbey Özbay; Bilal Alatas (Multim. Tools Appl., 2021)

War Strategy Optimization Algorithm: A New Effective Metaheuristic Algorithm for Global Optimization. - Tummala S. L. V. Ayyarao; N. S. S. Ramakrishna; Rajvikram Madurai Elavarasan; Nishanth Polumahanthi; M. Rambabu; Gaurav Saini; Baseem Khan; Bilal Alatas (IEEE Access, 2022)

A Modified Ant Lion Optimization Method and Its Application for Instance Reduction Problem in Balanced and Imbalanced Data. - Lamiaa M. El Bakrawy; Mehmet Akif Cifci; Samina Kausar; Sadiq Hussain; Md. Akhtarul Islam; Bilal Alatas; Abeer S. Desuky (Axioms, 2022)

Chaos numbers based a new representation scheme for evolutionary computation: Applications in evolutionary association rule mining. - Elif Varol Altay; Bilal Alatas (Concurr. Comput. Pract. Exp., 2022)

Analysis of Chaotic Maps for Global Optimization and a Hybrid Chaotic Pattern Search Algorithm for Optimizing the Reliability of a Bank. - G. Sandhya Rani; Jayan Sarada; Bilal Alatas (IEEE Access, 2023)

A Brief Review of Explainable Artificial Intelligence in Healthcare. - Zahra Sadeghi; Roohallah Alizadehsani; Mehmet Akif Cifci; Samina Kausar; Rizwan Rehman; Priyakshi Mahanta; Pranjal Kumar Bora; Ammar Almasri; Rami S. Alkhawaldeh; Sadiq Hussain; Bilal Alatas; Afshin Shoeibi; et al. (CoRR, 2023)

Automatic classification of kidney CT images with relief based novel hybrid deep model. - Harun Bingol; Muhammed Yildirim; Kadir Yildirim; Bilal Alatas (PeerJ Comput. Sci., 2023)

Multi-feature fusion and improved BO and IGWO metaheuristics based models for automatically diagnosing the sleep disorders from sleep sounds. - Sinem Akyol; Muhammed Yildirim; Bilal Alatas (Comput. Biol. Medicine, 2023)

Real-Time Emotional Topic Recommendation in Social Media News Using MDT and Hypergraph-Based Neural Networks. - Changchun Tao; Bilal Alatas (IEEE Access, 2024)

A review of Explainable Artificial Intelligence in healthcare. - Zahra Sadeghi; Roohallah Alizadehsani; Mehmet Akif Cifci; Samina Kausar; Rizwan Rehman; Priyakshi Mahanta; Pranjal Kumar Bora; Ammar Almasri; Rami S. Alkhawaldeh; Sadiq Hussain; Bilal Alatas; Afshin Shoeibi; et al. (Comput. Electr. Eng., 2024)

An Exploratory Study on the Application of Blockchain Technology to the Chinese Ship Auction Market. - Chen Peng; Bilal Alatas (Int. J. Inf. Technol. Syst. Approach, 2024)

Design and Evaluation of Packaging Art Based on Sentimental Value Calculation and Clustering. - Fang Wu; Bilal Alatas (Int. J. Inf. Technol. Syst. Approach, 2024)

Optimizing Interactive Online Education Through Advanced Multimodal Emotion Recognition Techniques. - Kaiquan Zhou; Dexian Li; Bilal Alatas (J. Organ. End User Comput., 2024)

Data-driven sales optimization with regression and chaotic pattern search. - Sandhya Rani Gaddam; Jayan Sarada; Pentakota Ravi; Bilal Alatas (PeerJ Comput. Sci., 2024)

Multi-feature fusion and dandelion optimizer based model for automatically diagnosing the gastrointestinal diseases. - Soner Kiziloluk; Muhammed Yildirim; Harun Bingol; Bilal Alatas (PeerJ Comput. Sci., 2024)

Advanced convolutional neural network modeling for fuel cell system optimization and efficiency in methane, methanol, and diesel reforming. - Sercan Yalçin; Muhammed Yildirim; Bilal Alatas (PeerJ Comput. Sci., 2024)

Increasing the explainability and success in classification: many-objective classification rule mining based on chaos integrated SPEA2. - Suna Yildirim; Bilal Alatas (PeerJ Comput. Sci., 2024)

Improving News Recommendation Accuracy Through Multimodal Variational Autoencoder and Adversarial Training. - Pei Tang; Shuo Zhu; Bilal Alatas (IEEE Access, 2025)

An Express Management System With Graph Recurrent Neural Network for Estimated Time of Arrival. - Xiaozhi Su; Bilal Alatas; Osama Sohaib (J. Organ. End User Comput., 2025)

Optimization of Dynamic Pricing Models for Consumer Segmentation Markets and Analysis of Big Data-Driven Marketing Strategies. - Qi Zhang; Qiang Shi; Bilal Alatas; Yu-His Yuan (J. Organ. End User Comput., 2025)

Enhancing knee osteoarthritis detection with AI, image denoising, and optimized classification methods and the importance of physical therapy methods. - Burak Bugday; Harun Bingol; Muhammed Yildirim; Bilal Alatas (PeerJ Comput. Sci., 2025)

Multi-task advanced convolutional neural network for robust lymphoblastic leukemia diagnosis, classification, and segmentation. - Sercan Yalçin; Zuhal Cetin Yalcin; Muhammed Yildirim; Bilal Alatas (PeerJ Comput. Sci., 2025)