2 citations · 3 across the 7 of their papers we have counts for
8 papers
Systematic Enumeration of Fundamental Quantities Involving Runs in Binary Strings
Félix Balado, Guénolé C. M. Silvestre
We give recurrences, generating functions and explicit exact expressions for the enumeration of fundamental quantities involving runs in binary strings. We first focus on enumerati…
Evaluate Fine-tuning Strategies for Fetal Head Ultrasound Image Segmentation with U-Net
Fangyijie Wang, Guénolé Silvestre, Kathleen M. Curran
Fetal head segmentation is a crucial step in measuring the fetal head circumference (HC) during gestation, an important biometric in obstetrics for monitoring fetal growth. However…
Online Gesture Recognition using Transformer and Natural Language Processing
G. C. M. Silvestre, F. Balado, O. Akinremi +1
The Transformer architecture is shown to provide a powerful machine transduction framework for online handwritten gestures corresponding to glyph strokes of natural language senten…
Runs of Ones in Binary Strings
Félix Balado, Guénolé C. M. Silvestre
We give three different computations of the total number of runs of length in binary -strings, and we discuss the connection of this problem with the compositions of .
General Distributions of Number Representation Elements
Félix Balado, Guénolé C. M. Silvestre
We provide general expressions for the joint distributions of the most significant -ary digits and of the leading continued fraction coefficients of outcomes of an arbit…
A Transformer Architecture for Online Gesture Recognition of Mathematical Expressions
Mirco Ramo, Guénolé C. M. Silvestre
The Transformer architecture is shown to provide a powerful framework as an end-to-end model for building expression trees from online handwritten gestures corresponding to glyph s…
Open Source Dataset and Deep Learning Models for Online Digit Gesture Recognition on Touchscreens
Philip J. Corr, Guenole C. Silvestre, Chris J. Bleakley
This paper presents an evaluation of deep neural networks for recognition of digits entered by users on a smartphone touchscreen. A new large dataset of Arabic numerals was collect…
Automated Identification of Trampoline Skills Using Computer Vision Extracted Pose Estimation
Paul W. Connolly, Guenole C. Silvestre, Chris J. Bleakley
A novel method to identify trampoline skills using a single video camera is proposed herein. Conventional computer vision techniques are used for identification, estimation, and tr…