Daniel Mas Montserrat

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 30

Top Topics

Genomic Databases

Belief Networks

Satellite Imagery

Top Venues

Publications

David Bonet, Daniel Mas Montserrat, Xavier Giró-i-Nieto, Alexander G. Ioannidis
HyperFast: Instant Classification for Tabular Data. CoRR (2024)
David Bonet, Daniel Mas Montserrat, Xavier Giró-i-Nieto, Alexander G. Ioannidis
HyperFast: Instant Classification for Tabular Data. AAAI (2024)
Míriam Barrabés, Daniel Mas Montserrat, Margarita Geleta, Xavier Giró-i-Nieto, Alexander G. Ioannidis
Adversarial Learning for Feature Shift Detection and Correction. NeurIPS (2023)
Míriam Barrabes, Daniel Mas Montserrat, Margarita Geleta, Xavier Giró-i-Nieto, Alexander G. Ioannidis
Adversarial Learning for Feature Shift Detection and Correction. CoRR (2023)
Daniel Mas Montserrat, Alexander G. Ioannidis
Adversarial Attacks on Genotype Sequences. ICASSP (2023)
Alex Meléndez, Cayetana López, David Bonet, Gerard Sant, Daniel Mas Montserrat, Jordi Abante, Manuel Rivas, Ferran Marqués, Alexander G. Ioannidis
Assessing Tree-Based Phenotype Prediction on the UK Biobank. BIBM (2023)
Albert Dominguez Mantes, Daniel Mas Montserrat, Carlos D. Bustamante, Xavier Giró-i-Nieto, Alexander G. Ioannidis
Neural ADMIXTURE for rapid genomic clustering. Nat. Comput. Sci. 3 (7) (2023)
Míriam Barrabés, David Bonet, Víctor Novelle Moriano, Xavier Giró-i-Nieto, Daniel Mas Montserrat, Alexander G. Ioannidis
Genomic Databases Homogenization with Machine Learning. BIBM (2023)
Maria Perera, Daniel Mas Montserrat, Míriam Barrabés, Margarita Geleta, Xavier Giró-i-Nieto, Alexander G. Ioannidis
Generative Moment Matching Networks for Genotype Simulation. EMBC (2022)
Emily R. Bartusiak, Míriam Barrabés, Aigerim Rymbekova, Julia Gimbernat-Mayol, Cayetana López, Lorenzo Barberis, Daniel Mas Montserrat, Xavier Giró-i-Nieto, Alexander G. Ioannidis
Predicting Dog Phenotypes from Genotypes. EMBC (2022)
Julia Gimbernat-Mayol, Albert Dominguez Mantes, Carlos D. Bustamante, Daniel Mas Montserrat, Alexander G. Ioannidis
Archetypal Analysis for population genetics. PLoS Comput. Biol. 18 (8) (2022)
Edoardo Daniele Cannas, Sriram Baireddy, Emily R. Bartusiak, Sri Kalyan Yarlagadda, Daniel Mas Montserrat, Paolo Bestagini, Stefano Tubaro, Edward J. Delp
Open-Set Source Attribution for Panchromatic Satellite Imagery. ICIP (2021)
Sri Kalyan Yarlagadda, Daniel Mas Montserrat, David Güera, Carol J. Boushey, Deborah A. Kerr, Fengqing Zhu
Saliency-Aware Class-Agnostic Food Image Segmentation. CoRR (2021)
János Horváth, Sriram Baireddy, Hanxiang Hao, Daniel Mas Montserrat, Edward J. Delp
Manipulation Detection in Satellite Images Using Vision Transformer. CVPR Workshops (2021)
Sri Kalyan Yarlagadda, Daniel Mas Montserrat, David Güera, Carol J. Boushey, Deborah A. Kerr, Fengqing Zhu
Saliency-Aware Class-Agnostic Food Image Segmentation. ACM Trans. Comput. Heal. 2 (3) (2021)
Daniel Mas Montserrat, Carlos D. Bustamante, Alexander Ioannidis
Lai-Net: Local-Ancestry Inference with Neural Networks. ICASSP (2020)
Daniel Mas Montserrat, János Horváth, Sri Kalyan Yarlagadda, Fengqing Zhu, Edward J. Delp
Generative Autoregressive Ensembles for Satellite Imagery Manipulation Detection. CoRR (2020)
János Horváth, Daniel Mas Montserrat, Edward J. Delp
Nested Attention U-Net: A Splicing Detection Method for Satellite Images. ICPR Workshops (6) (2020)
Daniel Mas Montserrat, János Horváth, Sri Kalyan Yarlagadda, Fengqing Zhu, Edward J. Delp
Generative Autoregressive Ensembles for Satellite Imagery Manipulation Detection. WIFS (2020)
Daniel Mas Montserrat, Hanxiang Hao, Sri Kalyan Yarlagadda, Sriram Baireddy, Ruiting Shao, János Horváth, Emily R. Bartusiak, Justin Yang, David Güera, Fengqing Zhu, Edward J. Delp
Deepfakes Detection with Automatic Face Weighting. CVPR Workshops (2020)
János Horváth, Daniel Mas Montserrat, Hanxiang Hao, Edward J. Delp
Manipulation Detection in Satellite Images Using Deep Belief Networks. CVPR Workshops (2020)
Jianhang Chen, Daniel Mas Montserrat, Qian Lin, Edward J. Delp, Jan P. Allebach
Extra FAT: A Photorealistic Dataset for 6D Object Pose Estimation. IMAWM (2020)
Daniel Mas Montserrat, Hanxiang Hao, Sri Kalyan Yarlagadda, Sriram Baireddy, Ruiting Shao, János Horváth, Emily R. Bartusiak, Justin Yang, David Guera, Fengqing Zhu, Edward J. Delp
Deepfakes Detection with Automatic Face Weighting. CoRR (2020)
Sri Kalyan Yarlagadda, David Güera, Daniel Mas Montserrat, Fengqing Maggie Zhu, Edward J. Delp, Paolo Bestagini, Stefano Tubaro
Shadow Removal Detection and Localization for Forensics Analysis. ICASSP (2019)
Daniel Mas Montserrat, Jianhang Chen, Qian Lin, Jan P. Allebach, Edward J. Delp
Multi-View Matching Network for 6D Pose Estimation. CoRR (2019)
Daniel Mas Montserrat, Carlos D. Bustamante, Alexander Ioannidis
Class-Conditional VAE-GAN for Local-Ancestry Simulation. CoRR (2019)
Daniel Mas Montserrat, Qian Lin, Jan P. Allebach, Edward J. Delp
Logo detection and recognition with synthetic images. IMAWM (2018)
Jeehyun Choe, Daniel Mas Montserrat, A. J. Schwichtenberg, Edward J. Delp
Sleep Analysis Using Motion and Head Detection. SSIAI (2018)
Daniel Mas Montserrat, Qian Lin, Jan P. Allebach, Edward J. Delp
Scalable Logo Detection and Recognition with Minimal Labeling. MIPR (2018)
Daniel Mas Montserrat, Qian Lin, Jan P. Allebach, Edward J. Delp
Training Object Detection And Recognition CNN Models Using Data Augmentation. IMAWM (2017)