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Found 7 papers, 2 papers with code
Global Point Cloud Registration Network for Large Transformations
In this paper, we present ReLaTo (Registration for Large Transformations), an architecture that faces the cases where large transformations happen while maintaining good performance for local transformations.
Identifying Student Profiles Within Online Judge Systems Using Explainable Artificial Intelligence
Online Judge (OJ) systems are typically considered within programming-related courses as they yield fast and objective assessments of the code developed by the students.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain Study
For this, we propose a methodology based on Siamese neural networks in which a series of techniques are integrated to mitigate the effects of data scarcity and distribution imbalance.
Multilabel Prototype Generation for Data Reduction in k-Nearest Neighbour classification
Prototype Generation (PG) methods are typically considered for improving the efficiency of the $k$-Nearest Neighbour ($k$NN) classifier when tackling high-size corpora.
Efficient Gesture Recognition for the Assistance of Visually Impaired People using Multi-Head Neural Networks
This paper proposes an interactive system for mobile devices controlled by hand gestures aimed at helping people with visual impairments.
Multi-Label Logo Recognition and Retrieval based on Weighted Fusion of Neural Features
While the current state of the art for logo classification addresses the problem as a multi-class task focusing on a single characteristic, logos can have several simultaneous labels, such as different colors.
Two Heads are Better than One: Geometric-Latent Attention for Point Cloud Classification and Segmentation
We present an innovative two-headed attention layer that combines geometric and latent features to segment a 3D scene into semantically meaningful subsets.
