Results 61 to 70 of about 3,494,638 (328)

Adversarial Examples for Evaluating Reading Comprehension Systems [PDF]

Conference on Empirical Methods in Natural Language Processing, 2017
Standard accuracy metrics indicate that reading comprehension systems are making rapid progress, but the extent to which these systems truly understand language remains unclear.
Robin Jia, Percy Liang
semanticscholar   +1 more source

Survival for Children Diagnosed With Wilms Tumour (2012–2022) Registered in the UK and Ireland Improving Population Outcomes for Renal Tumours of Childhood (IMPORT) Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The Improving Population Outcomes for Renal Tumours of childhood (IMPORT) is a prospective clinical observational study capturing detailed demographic and outcome data on children and young people diagnosed with renal tumours in the United Kingdom and the Republic of Ireland.
Naomi Ssenyonga, Angela Lopez‐Cortes, Reem Al‐Saadi, Suzanne Tugnait, Kristina Dzhuma, Catriona Duncan, Gordan Vujanic, Tanzina Chowdhury, Claudia Allemani, Michel P. Coleman, Kathy Pritchard‐Jones, the Children's Cancer and Leukaemia Group (CCLG) Renal Tumour Special Interest Group, Hugh Bishop, Anthony McCarthy, Pamela Kearns, Helen Rees, Amos Burke, Meriel Jenney, Jane Pears, Hamish Wallace, Milind Ronghe, Tanzina Chowdhury, Susan Picton, Emma Ross, Lisa Howell, Bernadette Brennan, Gail Halliday, Richard Grundy, Shaun Wilson, Sucheta Vaidya, Daniel Yeomanson, Jessica Bate, Vesna Pavasovic, Jessica Bate, Sabine Irtan, Jesper Brok, Minou Oostveen, Kristina Dzhuma, Mark Weeks, Richard Williams, Mark Powis, Max Pachl, Bruce Okoye, Naima Smeulders, Gordan Vujanic, Oystein Olsen, Tom Watson, Susan Shelmerdine, Dan Saunders, Angela Lopez-Cortes, Taryn Treger, Tom Jackson, Suzanne Tugnait, Lisa Howell, Tanzina Chowdhury, Sam Behjati, Angela Polanco   +56 more
wiley   +1 more source

Modified Alexnet Architecture for Classification of Cassava Based on Leaf Images

JOIV: International Journal on Informatics Visualization
The objective of this study is to address the drawbacks of conventional classification approaches through the implementation of deep learning, specifically a modified AlexNet.
Miftahus Sholihin, Mohd Farhan Md Fudzee, Mohd Norasri Ismail, Efi Neo Wati, Mohamad Syafwan Arshad, Taufik Gusman   +5 more
doaj   +1 more source

Using CycleGANs for effectively reducing image variability across OCT devices and improving retinal fluid segmentation

, 2019
Optical coherence tomography (OCT) has become the most important imaging modality in ophthalmology. A substantial amount of research has recently been devoted to the development of machine learning (ML) models for the identification and quantification of
Bogunović, Hrvoje, Gerendas, Bianca S., Langs, Georg, Orlando, José Ignacio, Romo-Bucheli, David, Schmidt-Erfurth, Ursula, Seeböck, Philipp, Waldstein, Sebastian   +7 more
core   +1 more source

DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEG [PDF]

IEEE transactions on neural systems and rehabilitation engineering, 2017
This paper proposes a deep learning model, named DeepSleepNet, for automatic sleep stage scoring based on raw single-channel EEG. Most of the existing methods rely on hand-engineered features, which require prior knowledge of sleep analysis.
Akara Supratak, Hao Dong, Chao Wu, Yike Guo   +3 more
semanticscholar   +1 more source

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source

Artificial Intelligence Algorithms for Rapeseed Fields Mapping Using Sentinel-1 Time Series: Temporal Transfer Scenario and Ground Sampling Constraints

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
This study aims to enhance rapeseed field detection accuracy using Sentinel-1 (S1) time series data and addressing challenges in collecting ground samples.
Saeideh Maleki, Nicolas Baghdadi, Cassio Fraga Dantas, Sami Najem, Hassan Bazzi, Nuria Pantaleoni Reluy, Dino Ienco, Mehrez Zribi   +7 more
doaj   +1 more source

RCCNet: An Efficient Convolutional Neural Network for Histological Routine Colon Cancer Nuclei Classification

, 2019
Efficient and precise classification of histological cell nuclei is of utmost importance due to its potential applications in the field of medical image analysis.
Babu, Kancharagunta Kishan, Basha, S H Shabbeer, Dubey, Shiv Ram, Ghosh, Soumen, Mukherjee, Snehasis, Pulabaigari, Viswanath   +5 more
core   +1 more source

Peptide‐based ligand antagonists block a Vibrio cholerae adhesin

FEBS Letters, EarlyView.
The structure of a peptide‐binding domain of the Vibrio cholerae adhesin FrhA was solved by X‐ray crystallography, revealing how the inhibitory peptide AGYTD binds tightly at its Ca2+‐coordinated pocket. Structure‐guided design incorporating D‐amino acids enhanced binding affinity, providing a foundation for developing anti‐adhesion therapeutics ...
Mingyu Wang, Grace Du, Charity Yongo‐Luwawa, Angelina Lu, Brett Kinrade, Kim Munro, Karl E. Klose, William D. Lubell, Peter Davies, Shuaiqi Guo   +9 more
wiley   +1 more source

Comparison of Different Machine Learning Algorithms to Classify Epilepsy Seizure from EEG Signals

Engineering Proceedings
Recurrent seizures are a symptom of a central nervous system disease called epilepsy. The duration of these seizures lasts less than a few seconds or sometimes minutes. There are very few ways to record seizures, and one of them is EEG.
Pankaj Kunekar, Chanchal Kumawat, Vaishnavi Lande, Sushant Lokhande, Ram Mandhana, Malhar Kshirsagar   +5 more
doaj   +1 more source