Search Results - "Yaqoob, Abrar" :: K.UTB vyhledávací portál

A Review on Nature-Inspired Algorithms for Cancer Disease Prediction and Classification

by Yaqoob, Abrar, Aziz, Rabia Musheer, Verma, Navneet Kumar, Lalwani, Praveen, Makrariya, Akshara, Kumar, Pavan
Published in Mathematics (Basel) (01.02.2023)

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Applications and Techniques of Machine Learning in Cancer Classification: A Systematic Review

by Yaqoob, Abrar, Musheer Aziz, Rabia, verma, Navneet Kumar
Published in Human-Centric Intelligent Systems (11.09.2023)

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Combining the mRMR technique with the Northern Goshawk Algorithm (NGHA) to choose genes for cancer classification

by Yaqoob, Abrar
Published in International journal of information technology (Singapore. Online) (07.05.2024)

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Optimizing Gene Selection and Cancer Classification with Hybrid Sine Cosine and Cuckoo Search Algorithm

by Yaqoob, Abrar, Verma, Navneet Kumar, Aziz, Rabia Musheer
Published in Journal of medical systems (09.01.2024)

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Optimizing cancer classification: a hybrid RDO-XGBoost approach for feature selection and predictive insights

by Yaqoob, Abrar, Verma, Navneet Kumar, Aziz, Rabia Musheer, Shah, Mohd Asif
Published in Cancer Immunology, Immunotherapy : CII (09.10.2024)

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RNA-Seq analysis for breast cancer detection: a study on paired tissue samples using hybrid optimization and deep learning techniques

by Yaqoob, Abrar, Verma, Navneet Kumar, Aziz, Rabia Musheer, Shah, Mohd Asif
Published in Journal of cancer research and clinical oncology (10.10.2024)

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Improving breast cancer classification with mRMR + SS0 + WSVM: a hybrid approach

by Yaqoob, Abrar, Verma, Navneet Kumar, Aziz, Rabia Musheer
Published in Multimedia tools and applications (06.09.2024)

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A Review on Nature-Inspired Algorithms for Cancer Disease Prediction and Classification

Applications and Techniques of Machine Learning in Cancer Classification: A Systematic Review

Combining the mRMR technique with the Northern Goshawk Algorithm (NGHA) to choose genes for cancer classification

Optimizing Gene Selection and Cancer Classification with Hybrid Sine Cosine and Cuckoo Search Algorithm

Optimizing cancer classification: a hybrid RDO-XGBoost approach for feature selection and predictive insights

RNA-Seq analysis for breast cancer detection: a study on paired tissue samples using hybrid optimization and deep learning techniques

Improving breast cancer classification with mRMR + SS0 + WSVM: a hybrid approach

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