Results 11 to 20 of about 662,370 (318)
To Google or not to Google, this is the question. [PDF]
To Google or not to Google has become in the latest years a big question for researchers: immediate answers, but often thousands; sometimes pertinent, sometimes not reliable or too commercial-oriented. No doubt that Google always ''finds'' something and sometimes it is the only way, or it retrieves real pearls but where does it search?
Giglia, Elena
openaire +2 more sources
Subtle adversarial image manipulations influence both human and machine perception
Although artificial neural networks (ANNs) were inspired by the brain, ANNs exhibit a brittleness not generally observed in human perception. One shortcoming of ANNs is their susceptibility to adversarial perturbations—subtle modulations of natural ...
Vijay Veerabadran +10 more
doaj +1 more source
Google+ sets itself apart from other social media platforms through a number of unique features, including search engine optimization services and high user satisfaction. The purpose of this study was to evaluate the presence of dermatological entities on Google+.
Hill, Mary K +3 more
openaire +4 more sources
Google Scholar and Academic Libraries: An Update [PDF]
Purpose: This paper updates the authors’ original 2005 study of Google Scholar’s integration into ARL libraries web sites. Had more ARL libraries added Google Scholar?
Mullen, Laura Bowering +3 more
core +1 more source
Accelerating eye movement research via accurate and affordable smartphone eye tracking
Progress in eye movement research has been limited since existing eye trackers are expensive and do not scale. Here, the authors show that smartphone-based eye tracking achieves high accuracy comparable to state-of-the-art mobile eye trackers ...
Nachiappan Valliappan +10 more
doaj +1 more source
Prospective validation of smartphone-based heart rate and respiratory rate measurement algorithms
Bae et al. prospectively evaluated smartphone camera-based techniques for measuring heart rate and respiratory rate. They found measurements were accurate across a range of pre-defined subgroups.
Sean Bae +22 more
doaj +1 more source
DeepNull models non-linear covariate effects to improve phenotypic prediction and association power
GWAS often assume a linear phenotype-covariate relationship which may not hold in practice. Here the authors present DeepNull, in which they apply deep learning to identify and adjust for complex non-linear relationships, improving phenotypic prediction ...
Zachary R. McCaw +7 more
doaj +1 more source
Google-Health/google-health: test release
No description ...
ewulczyn +2 more
core +1 more source
Interpretable survival prediction for colorectal cancer using deep learning
Deriving interpretable prognostic features from deep-learning-based prognostic histopathology models remains a challenge. In this study, we developed a deep learning system (DLS) for predicting disease-specific survival for stage II and III colorectal ...
Ellery Wulczyn +22 more
doaj +1 more source
EHR-Safe: generating high-fidelity and privacy-preserving synthetic electronic health records
Privacy concerns often arise as the key bottleneck for the sharing of data between consumers and data holders, particularly for sensitive data such as Electronic Health Records (EHR).
Jinsung Yoon +13 more
doaj +1 more source

