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Found 9 papers, 0 papers with code
PeruSIL: A Framework to Build a Continuous Peruvian Sign Language Interpretation Dataset
Our contributions: i) we design a framework to annotate a sign Language dataset; ii) we release the first annotated LSP multi-modal interpretation dataset (AEC); iii) we evaluate the annotation done by hearing people by training a sign language recognition model.
A Machine Learning-based Segmentation Approach for Measuring Similarity between Sign Languages
On the other hand, our similarity measurement between British and Australian Sign language just holds for part of the Australian Sign Language and not the whole data sample.
On Adversarial Examples for Text Classification by Perturbing Latent Representations
However, this improvement comes with a cost because deep learning is vulnerable to adversarial examples.
Is ReLU Adversarially Robust?
The efficacy of deep learning models has been called into question by the presence of adversarial examples.
A Review on Machine Learning Algorithms for Dust Aerosol Detection using Satellite Data
Dust storms are associated with certain respiratory illnesses across different areas in the world.
A Modified Depolarization Approach for Efficient Quantum Machine Learning
The depolarization channel is a standard tool for simulating a quantum system's noise.
Combatting Human Trafficking in the Cyberspace: A Natural Language Processing-Based Methodology to Analyze the Language in Online Advertisements
This project tackles the pressing issue of human trafficking in online C2C marketplaces through advanced Natural Language Processing (NLP) techniques.
Performance Analysis of Quantum Machine Learning Classifiers
In recent years, researchers have started looking into data transformations in quantum computation.
Modeling Five Sentence Quality Representations by Finding Latent Spaces Produced with Deep Long Short-Memory Models
We present a study in which we train neural models that approximate rules that assess the quality of English sentences.
