Browsing Faculty Contributions by Subject "Classification tasks"
Now showing items 1-6 of 6
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CheckThat! at CLEF 2019: Automatic identification and verification of claims
( Springer Verlag , 2019 , Conference Paper)We introduce the second edition of the CheckThat! Lab, part of the 2019 Cross-Language Evaluation Forum (CLEF). CheckThat! proposes two complementary tasks. Task 1: predict which claims in a political debate should be ... -
CheckThat! at CLEF 2020: Enabling the automatic identification and verification of claims in social media
( Springer , 2020 , Conference Paper)We describe the third edition of the CheckThat! Lab, which is part of the 2020 Cross-Language Evaluation Forum (CLEF). CheckThat! proposes four complementary tasks and a related task from previous lab editions, offered in ... -
Convolutional Sparse Support Estimator-Based COVID-19 Recognition from X-Ray Images
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Coronavirus disease (COVID-19) has been the main agenda of the whole world ever since it came into sight. X-ray imaging is a common and easily accessible tool that has great potential for COVID-19 diagnosis and prognosis. ... -
Heart sound anomaly and quality detection using ensemble of neural networks without segmentation
( IEEE Computer Society , 2016 , Conference Paper)Phonocardiogram (PCG) signal is used as a diagnostic test in ambulatory monitoring in order to evaluate the heart hemodynamic status and to detect a cardiovascular disease. The objective of this study is to develop an ... -
Hulmona ( حلمنا ): The universal language model in arabic
( Association for Computational Linguistics (ACL) , 2019 , Conference Paper)Arabic is a complex language with limited resources which makes it challenging to produce accurate text classification tasks such as sentiment analysis. The utilization of transfer learning (TL) has recently shown promising ... -
Round-Robin sequential forward selection algorithm for prostate cancer classification and diagnosis using multispectral imagery
( Springer , 2011 , Article)This paper proposes an automatic classification system for the use in prostate cancer diagnosis. The system aims to detect and classify prostatic tissue textures captured from microscopic samples taken from needle biopsies. ...