A Machine Learning Ensemble Model for the Detection of Cyberbullying

no code implementations • 19 Feb 2024 • Abulkarim Faraj Alqahtani, Mohammad Ilyas

The stacking classifier achieved a high accuracy rate of 94. 00%, outperforming traditional machine learning models and surpassing the results of prior experiments that utilized the same dataset.

Ensemble Learning

Dual Adaptive Pyramid Network for Cross-Stain Histopathology Image Segmentation

no code implementations • 25 Sep 2019 • Xianxu Hou, Jingxin Liu, Bolei Xu, Bozhi Liu, Xin Chen, Mohammad Ilyas, Ian Ellis, Jon Garibaldi, Guoping Qiu

The extensive experiments and ablation study demonstrate the effectiveness of our approach on the domain adaptive segmentation task.

Domain Adaptation Image Segmentation +2

Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues

no code implementations • 23 May 2017 • Talha Qaiser, Abhik Mukherjee, Chaitanya Reddy Pb, Sai Dileep Munugoti, Vamsi Tallam, Tomi Pitkäaho, Taina Lehtimäki, Thomas Naughton, Matt Berseth, Aníbal Pedraza, Ramakrishnan Mukundan, Matthew Smith, Abhir Bhalerao, Erik Rodner, Marcel Simon, Joachim Denzler, Chao-Hui Huang, Gloria Bueno, David Snead, Ian Ellis, Mohammad Ilyas, Nasir Rajpoot

In this paper, we report on a recent automated Her2 scoring contest, held in conjunction with the annual PathSoc meeting held in Nottingham in June 2016, aimed at systematically comparing and advancing the state-of-the-art Artificial Intelligence (AI) based automated methods for Her2 scoring.

whole slide images