Juan Lavista Ferres
Orcid: 0000-0002-9654-3178
According to our database1,
Juan Lavista Ferres
authored at least 50 papers
between 2016 and 2024.
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Bibliography
2024
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset.
CoRR, 2024
Seeing the roads through the trees: A benchmark for modeling spatial dependencies with aerial imagery.
CoRR, 2024
2023
Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss.
Comput. Biol. Medicine, May, 2023
Open Datasheets: Machine-readable Documentation for Open Datasets and Responsible AI Assessments.
CoRR, 2023
Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images.
CoRR, 2023
Multimodal Foundation Models for Zero-shot Animal Species Recognition in Camera Trap Images.
CoRR, 2023
Assessment of Differentially Private Synthetic Data for Utility and Fairness in End-to-End Machine Learning Pipelines for Tabular Data.
CoRR, 2023
Navigating the Web of Misinformation: A Framework for Misinformation Domain Detection Using Browser Traffic.
CoRR, 2023
Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters.
CoRR, 2023
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the 6th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, 2023
2022
Trans. Mach. Learn. Res., 2022
Mapping Industrial Poultry Operations at Scale With Deep Learning and Aerial Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
CoRR, 2022
Comput. Methods Programs Biomed., 2022
On the Deployment of Post-Disaster Building Damage Assessment Tools using Satellite Imagery: A Deep Learning Approach.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
2021
Proc. Priv. Enhancing Technol., 2021
Acoustic detection of regionally rare bird species through deep convolutional neural networks.
Ecol. Informatics, 2021
CoRR, 2021
CoRR, 2021
An Analysis of the Deployment of Models Trained on Private Tabular Synthetic Data: Unexpected Surprises.
CoRR, 2021
Protein sequence models for prediction and comparative analysis of the SARS-CoV-2 - human interactome.
Proceedings of the Biocomputing 2021: Proceedings of the Pacific Symposium, 2021
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary.
Proceedings of the GoodIT '21: Conference on Information Technology for Social Good, 2021
A machine learning pipeline for aiding school identification from child trafficking images.
Proceedings of the GoodIT '21: Conference on Information Technology for Social Good, 2021
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Proceedings of the COMPASS '21: ACM SIGCAS Conference on Computing and Sustainable Societies, Virtual Event, Australia, 28 June 2021, 2021
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021
Where there's Smoke, there's Fire: Wildfire Risk Predictive Modeling via Historical Climate Data.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
A pipeline for identification of bird and frog species in tropical soundscape recordings using a convolutional neural network.
Ecol. Informatics, 2020
CoRR, 2020
Using internet search trends to forecast short term drug overdose deaths: A case study on Connecticut.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020
2019
Risks of Using Non-verified Open Data: A case study on using Machine Learning techniques for predicting Pregnancy Outcomes in India.
CoRR, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
2018
IEEE Signal Process. Lett., 2018
2016