Training Object Detection And Recognition CNN Models Using Data Augmentation. - Daniel Mas Montserrat; Qian Lin 001; Jan P. Allebach; Edward J. Delp (IMAWM, 2017)

Logo detection and recognition with synthetic images. - Daniel Mas Montserrat; Qian Lin 001; Jan P. Allebach; Edward J. Delp (IMAWM, 2018)

Scalable Logo Detection and Recognition with Minimal Labeling. - Daniel Mas Montserrat; Qian Lin 001; Jan P. Allebach; Edward J. Delp (MIPR, 2018)

Sleep Analysis Using Motion and Head Detection. - Jeehyun Choe; Daniel Mas Montserrat; Amy J. Schwichtenberg; Edward J. Delp (SSIAI, 2018)

Shadow Removal Detection and Localization for Forensics Analysis. - Sri Kalyan Yarlagadda; David Güera; Daniel Mas Montserrat; Fengqing Maggie Zhu; Edward J. Delp; Paolo Bestagini; Stefano Tubaro (ICASSP, 2019)

Multi-View Matching Network for 6D Pose Estimation. - Daniel Mas Montserrat; Jianhang Chen; Qian Lin 001; Jan P. Allebach; Edward J. Delp (CoRR, 2019)

Class-Conditional VAE-GAN for Local-Ancestry Simulation. - Daniel Mas Montserrat; Carlos D. Bustamante; Alexander G. Ioannidis (CoRR, 2019)

Manipulation Detection in Satellite Images Using Deep Belief Networks. - János Horváth; Daniel Mas Montserrat; Hanxiang Hao; Edward J. Delp (CVPR Workshops, 2020)

Deepfakes Detection with Automatic Face Weighting. - Daniel Mas Montserrat; Hanxiang Hao; Sri Kalyan Yarlagadda; Sriram Baireddy; Ruiting Shao; János Horváth; Emily R. Bartusiak; Justin Yang; David Güera; Fengqing Zhu 001; Edward J. Delp (CVPR Workshops, 2020)

Extra FAT: A Photorealistic Dataset for 6D Object Pose Estimation. - Jianhang Chen; Daniel Mas Montserrat; Qian Lin 001; Edward J. Delp; Jan P. Allebach (IMAWM, 2020)

Lai-Net: Local-Ancestry Inference with Neural Networks. - Daniel Mas Montserrat; Carlos D. Bustamante; Alexander G. Ioannidis (ICASSP, 2020)

Nested Attention U-Net: A Splicing Detection Method for Satellite Images. - János Horváth; Daniel Mas Montserrat; Edward J. Delp (ICPR Workshops (6), 2020)

Generative Autoregressive Ensembles for Satellite Imagery Manipulation Detection. - Daniel Mas Montserrat; János Horváth; Sri Kalyan Yarlagadda; Fengqing Zhu 001; Edward J. Delp (WIFS, 2020)

Manipulation Detection in Satellite Images Using Vision Transformer. - János Horváth; Sriram Baireddy; Hanxiang Hao; Daniel Mas Montserrat; Edward J. Delp (CVPR Workshops, 2021)

Open-Set Source Attribution for Panchromatic Satellite Imagery. - Edoardo Daniele Cannas; Sriram Baireddy; Emily R. Bartusiak; Sri Kalyan Yarlagadda; Daniel Mas Montserrat; Paolo Bestagini; Stefano Tubaro; Edward J. Delp (ICIP, 2021)

Saliency-Aware Class-Agnostic Food Image Segmentation. - Sri Kalyan Yarlagadda; Daniel Mas Montserrat; David Güera; Carol J. Boushey; Deborah A. Kerr; Fengqing Zhu 001 (ACM Trans. Comput. Heal., 2021)

Deepfake Detection Using Multiple Data Modalities. - Hanxiang Hao; Emily R. Bartusiak; David Güera; Daniel Mas Montserrat; Sriram Baireddy; Ziyue Xiang; Sri Kalyan Yarlagadda; Ruiting Shao; János Horváth; Justin Yang; Fengqing Zhu 001; Edward J. Delp (Handbook of Digital Face Manipulation and Detection, 2022)

Predicting Dog Phenotypes from Genotypes. - Emily R. Bartusiak; Míriam Barrabés; Aigerim Rymbekova; Julia Gimbernat-Mayol; Cayetana López; Lorenzo Barberis; Daniel Mas Montserrat; Xavier Giró-i-Nieto; Alexander G. Ioannidis (EMBC, 2022)

Generative Moment Matching Networks for Genotype Simulation. - Maria Perera; Daniel Mas Montserrat; Míriam Barrabés; Margarita Geleta; Xavier Giró-i-Nieto; Alexander G. Ioannidis (EMBC, 2022)

SALAI-Net: species-agnostic local ancestry inference network. - Benet Oriol Sabat; Daniel Mas Montserrat; Xavier Giró-i-Nieto; Alexander G. Ioannidis (Bioinform., 2022)

Archetypal Analysis for population genetics. - Julia Gimbernat-Mayol; Albert Dominguez Mantes; Carlos D. Bustamante; Daniel Mas Montserrat; Alexander G. Ioannidis (PLoS Comput. Biol., 2022)

Genomic Databases Homogenization with Machine Learning. - Míriam Barrabés; David Bonet; Víctor Novelle Moriano; Xavier Giró-i-Nieto; Daniel Mas Montserrat; Alexander G. Ioannidis (BIBM, 2023)

Assessing Tree-Based Phenotype Prediction on the UK Biobank. - Alex Meléndez; Cayetana López; David Bonet; Gerard Sant; Daniel Mas Montserrat; Jordi Abante; Manuel Rivas; Ferran Marqués; Alexander G. Ioannidis (BIBM, 2023)

Adversarial Attacks on Genotype Sequences. - Daniel Mas Montserrat; Alexander G. Ioannidis (ICASSP, 2023)

Adversarial Learning for Feature Shift Detection and Correction. - Míriam Barrabés; Daniel Mas Montserrat; Margarita Geleta; Xavier Giró-i-Nieto; Alexander G. Ioannidis (NeurIPS, 2023)

Neural ADMIXTURE for rapid genomic clustering. - Albert Dominguez Mantes; Daniel Mas Montserrat; Carlos D. Bustamante; Xavier Giró-i-Nieto; Alexander G. Ioannidis (Nat. Comput. Sci., 2023)

HyperFast: Instant Classification for Tabular Data. - David Bonet; Daniel Mas Montserrat; Xavier Giró-i-Nieto; Alexander G. Ioannidis (AAAI, 2024)

Advances in Biomedical Missing Data Imputation: A Survey. - Míriam Barrabés; Maria Perera; Víctor Novelle Moriano; Xavier Giró-i-Nieto; Daniel Mas Montserrat; Alexander G. Ioannidis (IEEE Access, 2025)

Feature Shift Localization Network. - Míriam Barrabés; Daniel Mas Montserrat; Kapal Dev; Alexander G. Ioannidis (CoRR, 2025)

Compressive Meta-Learning. - Daniel Mas Montserrat; David Bonet; Maria Perera; Xavier Giró-i-Nieto; Alexander G. Ioannidis (CoRR, 2025)