Qurrat Ul Ain
Orcid: 0000-0002-6891-9887
According to our database1,
Qurrat Ul Ain
authored at least 29 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Netw. Model. Anal. Health Informatics Bioinform., December, 2024
Enhancing pulmonary abnormality detection with an optimized CNN architecture incorporating depth-wise separable convolution and inception module.
Evol. Syst., August, 2024
Automatically Evolving Interpretable Feature Vectors Using Genetic Programming for an Ensemble Classifier in Skin Cancer Detection.
IEEE Comput. Intell. Mag., August, 2024
Improving the accuracy of diagnosing and predicting coronary heart disease using ensemble method and feature selection techniques.
Clust. Comput., April, 2024
LitefusionNet: Boosting the performance for medical image classification with an intelligent and lightweight feature fusion network.
J. Comput. Sci., 2024
A novel ensemble approach with deep transfer learning for accurate identification of foodborne bacteria from hyperspectral microscopy.
Comput. Biol. Chem., 2024
A Fuzzy Minkowski Distance-based fusion of convolutional neural networks for gastrointestinal disease detection.
Appl. Soft Comput., 2024
IEEE Access, 2024
Towards Clinically Oriented Feature Detection for Melanoma: A Deep Learning Approach.
Proceedings of the 39th International Conference on Image and Vision Computing New Zealand, 2024
Feature Extraction with Automated Scale Selection in Skin Cancer Image Classification: A Genetic Programming Approach.
Proceedings of the Genetic and Evolutionary Computation Conference, 2024
Evolving Feature Extraction Models for Melanoma Detection: A Co-operative Co-evolution Approach.
Proceedings of the Applications of Evolutionary Computation - 27th European Conference, 2024
Exploring Genetic Programming Models in Computer-Aided Diagnosis of Skin Cancer Images.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024
2023
IR-CNN: Inception residual network for detecting kidney abnormalities from CT images.
Netw. Model. Anal. Health Informatics Bioinform., December, 2023
Automatically Diagnosing Skin Cancers From Multimodality Images Using Two-Stage Genetic Programming.
IEEE Trans. Cybern., May, 2023
A New Genetic Programming Representation for Feature Learning in Skin Cancer Detection.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023
Skin Cancer Detection with Multimodal Data: A Feature Selection Approach Using Genetic Programming.
Proceedings of the Data Science and Machine Learning, 2023
2022
Expert Syst. Appl., 2022
Improving Effectiveness of Different Deep Transfer Learning-Based Models for Detecting Brain Tumors From MR Images.
IEEE Access, 2022
A Genetic Programming Approach to Automatically Construct Informative Attributes for Mammographic Density Classification.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
Modeling a Fine-Tuned Deep Convolutional Neural Network for Diagnosis of Kidney Diseases from CT Images.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
2021
Generating Knowledge-Guided Discriminative Features Using Genetic Programming for Melanoma Detection.
IEEE Trans. Emerg. Top. Comput. Intell., 2021
2020
PhD thesis, 2020
A genetic programming approach to feature construction for ensemble learning in skin cancer detection.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020
Proceedings of the Workshop on Applied Deep Generative Networks co-located with 24th European Conference on Artificial Intelligence (ECAI 2020), 2020
2019
Genetic Programming for Multiple Feature Construction in Skin Cancer Image Classification.
Proceedings of the 2019 International Conference on Image and Vision Computing New Zealand, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
Genetic Programming for Feature Selection and Feature Construction in Skin Cancer Image Classification.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018
A Multi-tree Genetic Programming Representation for Melanoma Detection Using Local and Global Features.
Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018
2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017