Publications

You can also find my articles on my Google Scholar profile.

A semi-supervised learning method for the identification of bad exposures in large imaging surveys

Published in Open Journal of Astrophysics, 2026

This paper presents a semi-supervised learning method for identifying bad exposures in large astronomical imaging surveys.

Recommended citation: Yufeng Luo, Adam D. Myers, Alex Drlica-Wagner, Dario Dematties, Salma Borchani, Frank Valdes, Arjun Dey, David Schlegel, Rongpu Zhou, and DESI Legacy Imaging Surveys Team. (2026). "A semi-supervised learning method for the identification of bad exposures in large imaging surveys." Open Journal of Astrophysics. 9.

Perspective on self-supervised transformers for scalable data analysis, retrievals, and discovery in geosciences

Published in Artificial Intelligence for the Earth Systems, 2026

This perspective discusses self-supervised transformers for scalable geoscience data analysis, retrievals, and discovery.

Recommended citation: Bhupendra A. Raut, Siddhant Gupta, Robert C. Jackson, Dié Wang, Adam Theisen, Jingjing Tian, Seongha Park, Joseph R. O’Brien, Maxwell A. Grover, Troy Arcomano, Nicki L. Hickmon, Scott M. Collis, Nicola J. Ferrier, and Dario J. Dematties. (2026). "Perspective on self-supervised transformers for scalable data analysis, retrievals, and discovery in geosciences." Artificial Intelligence for the Earth Systems. e250069.

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

Published in Ecological Informatics, 2024

This paper applies self-supervised learning for full-sky image analysis.

Recommended citation: Dario Dematties, et al. (2024). "Acoustic fingerprints in nature: A self-supervised learning approach for ecosystem activity monitoring." Ecological Informatics. 83. https://www.sciencedirect.com/science/article/pii/S1574954124003650

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

Published in Revista Colombiana de Computación, 2024

This paper discusses containerization for a self-supervised active foveated computer vision approach.

Recommended citation: Dario Dematties, Silvio Rizzi, and George Thiruvathukal. (2024). "Containerization on a self-supervised active foveated approach to computer vision." Revista Colombiana de Computación. 25, 29-38.

Doppler spectra from ARM Doppler Lidar during ARMing the Edge

Published in Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Atmospheric Radiation Measurement (ARM) Archive; Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Atmospheric Radiation Measurement (ARM) Data Center, 2023

This paper aims for the automation of cloud and rain detection in ARM Doppler lidar data so that the spectral data in clouds can be selectively saved and further analyzed.

Recommended citation: Bhupendra Raut, et al. (2023). "Doppler spectra from ARM Doppler Lidar during ARMing the Edge." Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Atmospheric Radiation Measurement (ARM) Archive; Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Atmospheric Radiation Measurement (ARM) Data Center. https://www.osti.gov/biblio/2204486

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

Published in IEEE WF-IoT, 2023

This paper demonstrates that the model weights shared in FL can expose revealing information about the local data distributions of IoT devices.

Recommended citation: Samir Rajani, et al. (2023). "Adversarial Predictions of Data Distributions Across Federated Internet-of-Things Devices." IEEE WF-IoT. https://arxiv.org/abs/2308.14658

ARMing the Edge: Designing Edge Computing-capable Machine Learning Algorithms to Target ARM Doppler Lidar Processing

Published in Artificial Intelligence for the Earth Systems, 2023

This paper aims for the automation of cloud and rain detection in ARM Doppler lidar data so that the spectral data in clouds can be selectively saved and further analyzed.

Recommended citation: Robert C. Jackson, et al. (2023). "ARMing the Edge: Designing Edge Computing–Capable Machine Learning Algorithms to Target ARM Doppler Lidar Processing." Artificial Intelligence for the Earth Systems. https://journals.ametsoc.org/view/journals/aies/2/4/AIES-D-22-0062.1.xml

Let’s Unleash the Network Judgment: A Self-Supervised Approach for Cloud Image Analysis

Published in Artificial Intelligence for the Earth Systems, 2023

This paper applies self-supervised learning for full-sky image analysis.

Recommended citation: Dario Dematties, et al. (2023). "Let’s Unleash the Network Judgment: A Self-Supervised Approach for Cloud Image Analysis." Artificial Intelligence for the Earth Systems. 2(2). https://journals.ametsoc.org/view/journals/aies/2/2/AIES-D-22-0063.1.xml

Optimizing cloud motion estimation on the edge with phase correlation and optical flow

Published in Atmospheric Measurement Techniques, 2023

This paper aims at optimizing cloud motion estimation.

Recommended citation: Bhupendra A Raut, et al. (2023). "Optimizing cloud motion estimation on the edge with phase correlation and optical flow." Atmospheric Measurement Techniques. 16(5). https://amt.copernicus.org/articles/16/1195/2023/

A Self-supervised Approach for Cloud Image Analysis

Published in 103rd AMS Annual Meeting, 2023

This paper is about self-supervised learning for cloud image analysis.

Recommended citation: Bhupendra A Raut, et al. (2023). "A Self-supervised Approach for Cloud Image Analysis." 103rd AMS Annual Meeting. https://ams.confex.com/ams/103ANNUAL/mediafile/Manuscript/Paper413343/AMS2023_Abstract-413343.pdf

Towards an Active Foveated Approach to Computer Vision

Published in Computación y Sistemas, 2022

This paper aims to advance new CV approaches more in line with those found in biological agents to bring novel solutions to the main problems faced by current CV applications.

Recommended citation: Dario Dematties, et al. (2022). "Towards an Active Foveated Approach to Computer Vision." Computación y Sistemas. 26(4). https://www.scielo.org.mx/scielo.php?pid=S1405-55462022000401635&script=sci_arttext

A generalized transformer-based pulse detection algorithm

Published in ACS sensors, 2022

This paper is about a generalized transformer-based pulse detection algorithm.

Recommended citation: Dario Dematties, et al. (2022). "A generalized transformer-based pulse detection algorithm." ACS sensors. 7(9). https://pubs.acs.org/doi/full/10.1021/acssensors.2c01218

Neural correlates of semantic integration in Spanish verb-noun compounds: an ERP study

Published in Language, Cognition and Neuroscience, 2022

This paper is about Neural correlates of semantic integration in Spanish verb-noun compounds.

Recommended citation: Mercedes Güemes, et al. (2022). "Neural correlates of semantic integration in Spanish verb-noun compounds: an ERP study." Language, Cognition and Neuroscience. 37(3). https://www.tandfonline.com/doi/full/10.1080/23273798.2021.1993283

A guide to signal processing algorithms for nanopore sensors

Published in ACS sensors, 2021

This paper is a review that starts from untangling the signal processing flow and categorizing the various algorithms developed to extracting the useful information.

Recommended citation: Chenyu Wen, et al. (2021). "A guide to signal processing algorithms for nanopore sensors." ACS sensors. 6(10). https://pubs.acs.org/doi/pdf/10.1021/acssensors.1c01618

Deep Learning of Nanopore Sensing Signals Using a Bi-Path Network

Published in ACS nano, 2021

This paper is about deep learning for nanopore sensing signals.

Recommended citation: Dario Dematties, et al. (2021). "Deep Learning of Nanopore Sensing Signals Using a Bi-Path Network." ACS Nano. 15(9). https://pubs.acs.org/doi/full/10.1021/acsnano.1c03842

A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics

Published in Frontiers in Neural Circuits, 2020

This paper is about brain inspired models for the emergence of grammatical categories in cortical dynamics.

Recommended citation: Dario Dematties, et al. (2020). "A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics." Frontiers in Neural Circuits. 14(12). https://www.frontiersin.org/articles/10.3389/fncir.2020.00012/full

Neural Network Approach for Dielectric Characterization of Tissues in Microwave Frequencies using Coplanar Waveguide Transmission

Published in 2020 14th European Conference on Antennas and Propagation (EuCAP), 2020

This paper is about a neural network approach for dielectric characterization of tissues in microwave frequencies.

Recommended citation: Viktor Mattsson, et al. (2020). "Neural Network Approach for Dielectric Characterization of Tissues in Microwave Frequencies using Coplanar Waveguide Transmission." 2020 14th European Conference on Antennas and Propagation (EuCAP). https://ieeexplore.ieee.org/abstract/document/9135949

Towards High-End Scalability on Biologically-Inspired Computational Models

Published in Advances in Parallel Computing, 2020

This paper is about scalability on biologically-inspired computational models.

Recommended citation: Dario Dematties, et al. (2020). "Towards High-End Scalability on Biologically-Inspired Computational Models." Advances in Parallel Computing. 36. https://ebooks.iospress.nl/doi/10.3233/APC200077

Phonetic acquisition in cortical dynamics, a computational approach

Published in Plos one, 2019

This paper is about brain inspired models for phonetic acquisition in cortical dynamics.

Recommended citation: Dario Dematties, et al. (2019). "Phonetic acquisition in cortical dynamics, a computational approach." PLoS ONE. 14(6). https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0217966