9 citations · 16 across the 11 of their papers we have counts for
12 papers
Hyper3-CLIP: Hierarchy-Conditioned Hyperbolic Vision-Language Training
Matin Mahmood, Antonio Rueda-Toicen, Mohamed ElBassat +3
CLIP-like vision-language models (VLMs) trained with contrastive objectives learn strong global image-text representations, but their Euclidean embeddings and global pooling fail t…
Beyond Accuracy: Benchmarking Cross-Task Consistency in Unified Multimodal Models
Weixing Wang, Liudvikas Zekas, Anton Hackl +5
Unified Multimodal Models (uMMs) aim to support both visual understanding and visual generation within a shared representation. However, existing evaluation protocols assess these…
Are We Recognizing the Jaguar or Its Background? A Diagnostic Framework for Jaguar Re-Identification
Antonio Rueda-Toicen, Abigail Allen Martin, Daniil Morozov +5
Jaguar re-identification (re-ID) from citizen-science imagery can look strong on standard retrieval metrics while still relying on the wrong evidence, such as background context or…
Complexity of Brain Tumors
Miguel Martín-Landrove, Francisco Torres-Hoyos, Antonio Rueda-Toicen
Tumor growth is a complex process characterized by uncontrolled cell proliferation and invasion of neighboring tissues. The understanding of these phenomena is of vital importance…
On complexity of post-processing in analyzing GATE-driven X-ray spectrum
Neda Gholami, Mohammad Mahdi Dehshibi, Mahmood Fazlali +3
Computed Tomography (CT) imaging is one of the most influential diagnostic methods. In clinical reconstruction, an effective energy is used instead of total X-ray spectrum. This ap…
Minimal Algorithmic Information Loss Methods for Dimension Reduction, Feature Selection and Network Sparsification
Hector Zenil, Narsis A. Kiani, Alyssa Adams +5
We present a novel, domain-agnostic, model-independent, unsupervised, and universally applicable Machine Learning approach for dimensionality reduction based on the principles of a…
Identification of Seed Cells in Multispectral Images for GrowCut Segmentation
Wuilan Torres, Antonio Rueda-Toicen
The segmentation of satellite images is a necessary step to perform object-oriented image classification, which has become relevant due to its applicability on images with a high s…
Segmentation of Dynamic Contrast-Enhanced Magnetic Resonance Images of the Prostate
Wuilian Torres, Leonardo Cordero, Miguel Martín-Landrove +1
Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) is a valuable tool to localize, characterize, and evaluate anomalous prostate tissue. Ultrafast gradient-echo acquisi…
Characterizing the structure of protein-protein interaction networks
Allan A. Zea, Antonio Rueda-Toicen
Network theorists have developed methods to characterize the complex interactions in natural phenomena. The structure of the network of interactions between proteins is important i…
A Decomposition Method for Global Evaluation of Shannon Entropy and Local Estimations of Algorithmic Complexity
Hector Zenil, Santiago Hernández-Orozco, Narsis A. Kiani +2
We investigate the properties of a Block Decomposition Method (BDM), which extends the power of a Coding Theorem Method (CTM) that approximates local estimations of algorithmic com…
Unsupervised Segmentation of Multispectral Images with Cellular Automata
Wuilian Torres, Antonio Rueda-Toicen
Multispectral images acquired by satellites are used to study phenomena on the Earth's surface. Unsupervised classification techniques analyze multispectral image content without c…
Search of Complex Binary Cellular Automata Using Behavioral Metrics
Juan C. López-González, Antonio Rueda-Toicen
We propose the characterization of binary cellular automata using a set of behavioral metrics that are applied to the minimal Boolean form of a cellular automaton's transition func…