Daniel Mas Montserrat

According to our database, Daniel Mas Montserrat authored at least 26 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

HyperFast: Instant Classification for Tabular Data.

David Bonet, Daniel Mas Montserrat, Xavier Giró-i-Nieto, Alexander G. Ioannidis

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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

Adversarial Learning for Feature Shift Detection and Correction.

Míriam Barrabés, Daniel Mas Montserrat, Margarita Geleta, Xavier Giró-i-Nieto, Alexander G. Ioannidis

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adversarial Attacks on Genotype Sequences.

Daniel Mas Montserrat, Alexander G. Ioannidis

Proceedings of the IEEE International Conference on Acoustics, 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

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Genomic Databases Homogenization with Machine Learning.

Míriam Barrabés, David Bonet, Víctor Novelle Moriano, Xavier Giró-i-Nieto, Daniel Mas Montserrat, Alexander G. Ioannidis

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

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

Generative Moment Matching Networks for Genotype Simulation.

Maria Perera, Daniel Mas Montserrat, Míriam Barrabés, Margarita Geleta, Xavier Giró-i-Nieto, Alexander G. Ioannidis

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 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

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

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, Edward J. Delp

Proceedings of the Handbook of Digital Face Manipulation and Detection, 2022

2021

Saliency-Aware Class-Agnostic Food Image Segmentation.

Sri Kalyan Yarlagadda, Daniel Mas Montserrat, David Güera, Carol J. Boushey, Deborah A. Kerr, Fengqing Zhu

ACM Trans. Comput. Heal., 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

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Manipulation Detection in Satellite Images Using Vision Transformer.

János Horváth, Sriram Baireddy, Hanxiang Hao, Daniel Mas Montserrat, Edward J. Delp

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Generative Autoregressive Ensembles for Satellite Imagery Manipulation Detection.

Daniel Mas Montserrat, János Horváth, Sri Kalyan Yarlagadda, Fengqing Zhu, Edward J. Delp

Proceedings of the 12th IEEE International Workshop on Information Forensics and Security, 2020

Nested Attention U-Net: A Splicing Detection Method for Satellite Images.

János Horváth, Daniel Mas Montserrat, Edward J. Delp

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Lai-Net: Local-Ancestry Inference with Neural Networks.

Daniel Mas Montserrat, Carlos D. Bustamante, Alexander G. Ioannidis

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Extra FAT: A Photorealistic Dataset for 6D Object Pose Estimation.

Jianhang Chen, Daniel Mas Montserrat, Qian Lin, Edward J. Delp, Jan P. Allebach

Proceedings of the Imaging and Multimedia Analytics in a Web and Mobile World 2020, 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, Edward J. Delp

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Manipulation Detection in Satellite Images Using Deep Belief Networks.

János Horváth, Daniel Mas Montserrat, Hanxiang Hao, Edward J. Delp

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Class-Conditional VAE-GAN for Local-Ancestry Simulation.

Daniel Mas Montserrat, Carlos D. Bustamante, Alexander G. Ioannidis

CoRR, 2019

Multi-View Matching Network for 6D Pose Estimation.

Daniel Mas Montserrat, Jianhang Chen, Qian Lin, Jan P. Allebach, Edward J. Delp

CoRR, 2019

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

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Sleep Analysis Using Motion and Head Detection.

Jeehyun Choe, Daniel Mas Montserrat, Amy J. Schwichtenberg, Edward J. Delp

Proceedings of the 2018 IEEE Southwest Symposium on Image Analysis and Interpretation, 2018

Scalable Logo Detection and Recognition with Minimal Labeling.

Daniel Mas Montserrat, Qian Lin, Jan P. Allebach, Edward J. Delp

Proceedings of the IEEE 1st Conference on Multimedia Information Processing and Retrieval, 2018

Logo detection and recognition with synthetic images.

Daniel Mas Montserrat, Qian Lin, Jan P. Allebach, Edward J. Delp

Proceedings of the Imaging and Multimedia Analytics in a Web and Mobile World 2018, Burlingame, CA, USA, January 28, 2018

2017

Training Object Detection And Recognition CNN Models Using Data Augmentation.

Daniel Mas Montserrat, Qian Lin, Jan P. Allebach, Edward J. Delp

Proceedings of the Imaging and Multimedia Analytics in a Web and Mobile World 2017, Burlingame, CA, USA, January 29, 2017