Qurrat Ul Ain

Orcid: 0000-0002-6891-9887

According to our database1, Qurrat Ul Ain authored at least 19 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Improving the accuracy of diagnosing and predicting coronary heart disease using ensemble method and feature selection techniques.
Clust. Comput., April, 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

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
Genetic programming for automatic skin cancer image classification.
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
Genetic Programming based Feature Manipulation for Skin Cancer Image Classification.
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

ChemoVerse: Manifold Traversal of Latent Spaces for Novel Molecule Discovery.
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

Multi-tree Genetic Programming with A New Fitness Function for Melanoma Detection.
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
Genetic programming for skin cancer detection in dermoscopic images.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017


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