Olaide Nathaniel Oyelade

25 papers Journal 22Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey of Adaptation of Large Language Models to Idea and Hypothesis Generation: Downstream Task Adaptation, Knowledge Distillation Approaches and Challenges. ACM Comput. Surv. Olaide Nathaniel Oyelade, Hui Wang, Karen Rafferty
2025	—	`conf`	A GFlowNet-Based World Model for Structural Protein-Protein Interaction Prediction on DB5. ICONIP (3) Olaide Nathaniel Oyelade, Hui Wang
2025	J	`jnl`	A systematic literature review of visual feature learning: deep learning techniques, applications, challenges and future directions. Multim. Tools Appl. Mohammed Abdullahi, Olaide Nathaniel Oyelade, Armand Florentin Donfack Kana, Mustapha Aminu Bagiwa, Fatimah Binta Abdullahi, Sahalu B. Junaidu, Ibrahim Iliyasu, Ajayi Ore-ofe, Haruna Chiroma
2025	J	`jnl`	An adaptation of hybrid binary optimization algorithms for medical image feature selection in neural network for classification of breast cancer. Neurocomputing Olaide Nathaniel Oyelade, Enesi Femi Aminu, Hui Wang, Karen Rafferty
2025	J	`jnl`	Deep Learning-Augmented Evolutionary Strategies for Intelligent Global Optimization. IEEE Access Absalom El-Shamir Ezugwu, Olaide Nathaniel Oyelade, Jeffrey O. Agushaka, Apu Kumar Saha
2025	J	`jnl`	Deep learning at the service of metaheuristics for solving numerical optimization problems. Neural Comput. Appl. Olaide Nathaniel Oyelade, Absalom E. Ezugwu, Apu Kumar Saha, Nguyen V. Thieu, Amir H. Gandomi
2025	J	`jnl`	Feature Learning with Multi-Stage Vision Transformers on Inter-Modality HER2 Status Scoring and Tumor Classification on Whole Slides. CoRR Olaide Nathaniel Oyelade, Oliver Hoxey, Yulia Humrye
2025	J	`jnl`	SMAR + NIE IdeaGen: A knowledge graph based node importance estimation with analogical reasoning on large language model for idea generation. Expert Syst. Appl. Olaide Nathaniel Oyelade, Hui Wang, Karen Rafferty
2024	—	`conf`	SIRO: A Deep Learning-Based Next-Generation Optimizer for Solving Global Optimization Problems. MIC (1) Olaide Nathaniel Oyelade, Absalom E. Ezugwu, Apu Kumar Saha
2024	J	`jnl`	SaltGAN: A feature-infused and loss-controlled generative adversarial network with preserved checkpoints for evolving histopathology images. Biomed. Signal Process. Control. Olaide Nathaniel Oyelade, Hui Wang, Sunday A. Adewuyi
2023	J	`jnl`	EOSA-GAN: Feature enriched latent space optimized adversarial networks for synthesization of histopathology images using Ebola optimization search algorithm. Biomed. Signal Process. Control. Olaide Nathaniel Oyelade, Absalom E. Ezugwu
2023	J	`jnl`	Machine Learning Research Trends in Africa: A 30 Years Overview with Bibliometric Analysis Review. CoRR Absalom E. Ezugwu, Olaide Nathaniel Oyelade, Abiodun M. Ikotun, Jeffrey O. Agushaka, Yuh-Shan Ho
2022	J	`jnl`	A comparative performance study of random-grid model for hyperparameters selection in detection of abnormalities in digital breast images. Concurr. Comput. Pract. Exp. Olaide Nathaniel Oyelade, Absalom E. Ezugwu
2022	J	`jnl`	A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects. Eng. Appl. Artif. Intell. Absalom E. Ezugwu, Abiodun M. Ikotun, Olaide Nathaniel Oyelade, Laith Mohammad Abualigah, Jeffrey O. Agushaka, Christopher Ifeanyi Eke, Andronicus Ayobami Akinyelu
2022	J	`jnl`	Abnormality classification and localization using dual-branch whole-region-based CNN model with histopathological images. Comput. Biol. Medicine Olaide Nathaniel Oyelade, Absalom E. Ezugwu, Hein S. Venter, Seyedali Mirjalili, Amir H. Gandomi
2022	J	`jnl`	Characterization of abnormalities in breast cancer images using nature-inspired metaheuristic optimized convolutional neural networks model. Concurr. Comput. Pract. Exp. Olaide Nathaniel Oyelade, Absalom E. Ezugwu
2022	—	`conf`	Crime Detection and Analysis from Social Media Messages Using Machine Learning and Natural Language Processing Technique. ICCSA (Workshops 5) Xolani Lombo, Olaide Nathaniel Oyelade, Absalom E. Ezugwu
2022	J	`jnl`	Ebola Optimization Search Algorithm: A New Nature-Inspired Metaheuristic Optimization Algorithm. IEEE Access Olaide Nathaniel Oyelade, Absalom El-Shamir Ezugwu, Tehnan I. A. Mohamed, Laith Mohammad Abualigah
2022	J	`jnl`	Enhanced Intelligent Smart Home Control and Security System Based on Deep Learning Model. Wirel. Commun. Mob. Comput. Olutosin Taiwo, Absalom E. Ezugwu, Olaide Nathaniel Oyelade, Mubarak Saad Al-Mutairi
2022	J	`jnl`	Enhancing reasoning through reduction of vagueness using fuzzy OWL-2 for representation of breast cancer ontologies. Neural Comput. Appl. Olaide Nathaniel Oyelade, Absalom E. Ezugwu, Sunday A. Adewuyi
2021	J	`jnl`	A deep learning model using data augmentation for detection of architectural distortion in whole and patches of images. Biomed. Signal Process. Control. Olaide Nathaniel Oyelade, Absalom E. Ezugwu
2021	J	`jnl`	Automatic clustering algorithms: a systematic review and bibliometric analysis of relevant literature. Neural Comput. Appl. Absalom E. Ezugwu, Amit K. Shukla, Moyinoluwa B. Agbaje, Olaide Nathaniel Oyelade, Adán José García, Jeffrey O. Agushaka
2021	J	`jnl`	CovFrameNet: An Enhanced Deep Learning Framework for COVID-19 Detection. IEEE Access Olaide Nathaniel Oyelade, Absalom E. Ezugwu, Haruna Chiroma
2021	J	`jnl`	Ebola Optimization Search Algorithm (EOSA): A new metaheuristic algorithm based on the propagation model of Ebola virus disease. CoRR Olaide Nathaniel Oyelade, Absalom E. Ezugwu
2020	J	`jnl`	A State-of-the-Art Survey on Deep Learning Methods for Detection of Architectural Distortion From Digital Mammography. IEEE Access Olaide Nathaniel Oyelade, Absalom E. Ezugwu