activity
20192025
most citedLAI-Net: Local-Ancestry Inference with Neural Networks

26 citations · 45 across the 12 of their papers we have counts for

collaborators

15 papers

cs.DC2025

Efficient Chromosome Parallelization for Precision Medicine Genomic Workflows

Daniel Mas Montserrat, Ray Verma, Míriam Barrabés +3

Large-scale genomic workflows used in precision medicine can process datasets spanning tens to hundreds of gigabytes per sample, leading to high memory spikes, intensive disk I/O,…

cs.IT2025

A Tsallis-Entropy Lens on Genetic Variation

Margarita Geleta, Daniel Mas Montserrat, Alexander G. Ioannidis

We introduce an information-theoretic generalization of the fixation statistic, the Tsallis-order F-statistic, , which measures the fraction of Tsallis -entropy lost wi…

cs.LG2025★ 1 cited

iLTM: Integrated Large Tabular Model

David Bonet, Marçal Comajoan Cara, Alvaro Calafell +2

Tabular data underpins decisions across science, industry, and public services. Despite rapid progress, advances in deep learning have not fully carried over to the tabular domain,…

cs.LG2025

Feature Shift Localization Network

Míriam Barrabés, Daniel Mas Montserrat, Kapal Dev +1

Feature shifts between data sources are present in many applications involving healthcare, biomedical, socioeconomic, financial, survey, and multi-sensor data, among others, where…

cs.LG2024

HyperFast: Instant Classification for Tabular Data

David Bonet, Daniel Mas Montserrat, Xavier Giró-i-Nieto +1

Training deep learning models and performing hyperparameter tuning can be computationally demanding and time-consuming. Meanwhile, traditional machine learning methods like gradien…

cs.LG2023★ 2 cited

Adversarial Learning for Feature Shift Detection and Correction

Miriam Barrabes, Daniel Mas Montserrat, Margarita Geleta +2

Data shift is a phenomenon present in many real-world applications, and while there are multiple methods attempting to detect shifts, the task of localizing and correcting the feat…

eess.IV2021

Manipulation Detection in Satellite Images Using Vision Transformer

János Horváth, Sriram Baireddy, Hanxiang Hao +2

A growing number of commercial satellite companies provide easily accessible satellite imagery. Overhead imagery is used by numerous industries including agriculture, forestry, nat…

cs.CV2021★ 3 cited

Saliency-Aware Class-Agnostic Food Image Segmentation

Sri Kalyan Yarlagadda, Daniel Mas Montserrat, David Guerra +3

Advances in image-based dietary assessment methods have allowed nutrition professionals and researchers to improve the accuracy of dietary assessment, where images of food consumed…

cs.CV2020

Generative Autoregressive Ensembles for Satellite Imagery Manipulation Detection

Daniel Mas Montserrat, János Horváth, S. K. Yarlagadda +2

Satellite imagery is becoming increasingly accessible due to the growing number of orbiting commercial satellites. Many applications make use of such images: agricultural managemen…

cs.CV2020

Deepfakes Detection with Automatic Face Weighting

Daniel Mas Montserrat, Hanxiang Hao, S. K. Yarlagadda +8

Altered and manipulated multimedia is increasingly present and widely distributed via social media platforms. Advanced video manipulation tools enable the generation of highly real…

eess.IV2020

Manipulation Detection in Satellite Images Using Deep Belief Networks

János Horváth, Daniel Mas Montserrat, Hanxiang Hao +1

Satellite images are more accessible with the increase of commercial satellites being orbited. These images are used in a wide range of applications including agricultural manageme…

q-bio.GN2020

Addressing Ancestry Disparities in Genomic Medicine: A Geographic-aware Algorithm

Daniel Mas Montserrat, Arvind Kumar, Carlos Bustamante +1

With declining sequencing costs a promising and affordable tool is emerging in cancer diagnostics: genomics. By using association studies, genomic variants that predispose patients…

q-bio.GN2020★ 26 cited

LAI-Net: Local-Ancestry Inference with Neural Networks

Daniel Mas Montserrat, Carlos Bustamante, Alexander Ioannidis

Local-ancestry inference (LAI), also referred to as ancestry deconvolution, provides high-resolution ancestry estimation along the human genome. In both research and industry, LAI…

q-bio.GN2019★ 12 cited

Class-Conditional VAE-GAN for Local-Ancestry Simulation

Daniel Mas Montserrat, Carlos Bustamante, Alexander Ioannidis

Local ancestry inference (LAI) allows identification of the ancestry of all chromosomal segments in admixed individuals, and it is a critical step in the analysis of human genomes…

cs.CV2019★ 1 cited

Multi-View Matching Network for 6D Pose Estimation

Daniel Mas Montserrat, Jianhang Chen, Qian Lin +2

Applications that interact with the real world such as augmented reality or robot manipulation require a good understanding of the location and pose of the surrounding objects. In…