29 citations · 67 across the 9 of their papers we have counts for
9 papers
MetaChest: Generalized few-shot learning of pathologies from chest X-rays
Berenice Montalvo-Lezama, Gibran Fuentes-Pineda
The limited availability of annotated data presents a major challenge for applying deep learning methods to medical image analysis. Few-shot learning methods aim to recognize new c…
Efficient generative adversarial networks using linear additive-attention Transformers
Emilio Morales-Juarez, Gibran Fuentes-Pineda
Although deep generative models such as Diffusion Models (DMs) and Generative Adversarial Networks (GANs) achieve remarkable image generation performance, they often rely on comput…
Improving Transfer Learning with a Dual Image and Video Transformer for Multi-label Movie Trailer Genre Classification
Ricardo Montalvo-Lezama, Berenice Montalvo-Lezama, Gibran Fuentes-Pineda
In this paper, we study the transferability of ImageNet spatial and Kinetics spatio-temporal representations to multi-label Movie Trailer Genre Classification (MTGC). In particular…
Risk markers by sex for in-hospital mortality in patients with acute coronary syndrome: a machine learning approach
Blanca Vazquez, Gibran Fuentes-Pineda, Fabian Garcia +2
Background: Several studies have highlighted the importance of considering sex differences in the diagnosis and treatment of Acute Coronary Syndrome (ACS). However, the identificat…
Lightweight Speaker Verification for Online Identification of New Speakers with Short Segments
Ivette Velez, Caleb Rascon, Gibran Fuentes-Pineda
Verifying if two audio segments belong to the same speaker has been recently put forward as a flexible way to carry out speaker identification, since it does not require to be re-t…
A few filters are enough: Convolutional Neural Network for P300 Detection
Alicia Montserrat Alvarado-Gonzalez, Gibran Fuentes-Pineda, Jorge Cervantes-Ojeda
Over the past decade, convolutional neural networks (CNNs) have become the driving force of an ever-increasing set of applications, achieving state-of-the-art performance. Most of…
One-Shot Speaker Identification for a Service Robot using a CNN-based Generic Verifier
Ivette Vélez, Caleb Rascon, Gibrán Fuentes-Pineda
In service robotics, there is an interest to identify the user by voice alone. However, in application scenarios where a service robot acts as a waiter or a store clerk, new users…
Topic Discovery in Massive Text Corpora Based on Min-Hashing
Gibran Fuentes-Pineda, Ivan Vladimir Meza-Ruiz
The task of discovering topics in text corpora has been dominated by Latent Dirichlet Allocation and other Topic Models for over a decade. In order to apply these approaches to mas…
Contextualize, Show and Tell: A Neural Visual Storyteller
Diana Gonzalez-Rico, Gibran Fuentes-Pineda
We present a neural model for generating short stories from image sequences, which extends the image description model by Vinyals et al. (Vinyals et al., 2015). This extension reli…