Dario Dematties

According to our database, Dario Dematties authored at least 15 papers between 2019 and 2025.

Collaborative distances:

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

2025

A Semi-Supervised Learning Method for the Identification of Bad Exposures in Large Imaging Surveys.

Yufeng Luo, Adam D. Myers, Alex Drlica-Wagner, Dario Dematties, Salma Borchani, Frank Valdes, Arjun Dey, David Schlegel, Rongpu Zhou, DESI Legacy Imaging Surveys Team

CoRR, July, 2025

2024

Containerization on a self-supervised active foveated approach to computer vision.

Dario Dematties, Silvio Rizzi, George K. Thiruvathukal

Rev. Colomb. de Computación, 2024

Acoustic fingerprints in nature: A self-supervised learning approach for ecosystem activity monitoring.

Dario Dematties, Samir Rajani, Rajesh Sankaran, Sean Shahkarami, Bhupendra Raut, Scott Collis, Pete Beckman, Nicola J. Ferrier

Ecol. Informatics, 2024

2023

Adversarial Predictions of Data Distributions Across Federated Internet-of-Things Devices.

Samir Rajani, Dario Dematties, Nathaniel Hudson, Kyle Chard, Nicola J. Ferrier, Rajesh Sankaran, Peter H. Beckman

Proceedings of the 9th IEEE World Forum on Internet of Things, 2023

2022

Towards an Active Foveated Approach to Computer Vision.

Dario Dematties, Silvio Rizzi, George K. Thiruvathukal, Alejandro Wainselboim

Computación y Sistemas, 2022

2021

Deep learning of nanopore sensing signals using a bi-path network.

Dario Dematties, Chenyu Wen, Mauricio David Pérez, Dian Zhou, Shi-Li Zhang

CoRR, 2021

2019

neurophon/neurophon: A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics.

Dario Dematties, George K. Thiruvathukal, Silvio Rizzi, Mauricio David Perez, Alejandro Wainselboim, B. Silvano Zanutto

Dataset, August, 2019

Experimental Results and Appendices: Cortical Spectro-Temporal Model (CSTM).

Dario Dematties, George K. Thiruvathukal, Silvio Rizzi, Alejandro Wainselboim, B. Silvano Zanutto

Dataset, March, 2019

Experimental Results and Appendices: Cortical Spectro-Temporal Model (CSTM).

Dario Dematties, George K. Thiruvathukal, Silvio Rizzi, Alejandro Wainselboim, B. Silvano Zanutto

Dataset, March, 2019

neurophon/neurophon: Minor update to ensure future updates include Zenodo author/keyword metadata.

Dario Dematties, George K. Thiruvathukal, Silvio Rizzi, Alejandro Wainselboim, B. Silvano Zanutto

Dataset, March, 2019

Experimental Results and Appendices: Cortical Spectro-Temporal Model (CSTM).

Dario Dematties, George K. Thiruvathukal, Silvio Rizzi, Alejandro Wainselboim, B. Silvano Zanutto

Dataset, March, 2019

neurophon/neurophon: Release for PLOS submission.

Dario Dematties, George K. Thiruvathukal, Silvio Rizzi, Alejandro Wainselboim, B. Silvano Zanutto

Dataset, February, 2019

neurophon/neurophon: Prerelease.

Dario Dematties, George K. Thiruvathukal, Silvio Rizzi, Alejandro Wainselboim, B. Silvano Zanutto

Dataset, February, 2019

Datasets used to train and test the Cortical Spectro-Temporal Model (CSTM).

Dario Dematties, George K. Thiruvathukal, Silvio Rizzi, Alejandro Wainselboim, B. Silvano Zanutto

Dataset, February, 2019

Towards High-End Scalability on Biologically-Inspired Computational Models.

Dario Dematties, George K. Thiruvathukal, Silvio Rizzi, Alejandro Wainselboim, B. Silvano Zanutto

Proceedings of the Parallel Computing: Technology Trends, 2019