Towards High-End Scalability on Biologically-Inspired Computational Models. - Dario Dematties; George K. Thiruvathukal; Silvio Rizzi 001; Alejandro Wainselboim; B. Silvano Zanutto (PARCO, 2019)

Datasets used to train and test the Cortical Spectro-Temporal Model (CSTM). - Dario Dematties; George K. Thiruvathukal; Silvio Rizzi 001; Alejandro Wainselboim; B. Silvano Zanutto (Zenodo, 2019)

neurophon/neurophon: Prerelease. - Dario Dematties; George K. Thiruvathukal; Silvio Rizzi 001; Alejandro Wainselboim; B. Silvano Zanutto (Zenodo, 2019)

neurophon/neurophon: Release for PLOS submission. - Dario Dematties; George K. Thiruvathukal; Silvio Rizzi 001; Alejandro Wainselboim; B. Silvano Zanutto (Zenodo, 2019)

Experimental Results and Appendices: Cortical Spectro-Temporal Model (CSTM). - Dario Dematties; George K. Thiruvathukal; Silvio Rizzi 001; Alejandro Wainselboim; B. Silvano Zanutto (Zenodo, 2019)

neurophon/neurophon: Minor update to ensure future updates include Zenodo author/keyword metadata. - Dario Dematties; George K. Thiruvathukal; Silvio Rizzi 001; Alejandro Wainselboim; B. Silvano Zanutto (Zenodo, 2019)

Experimental Results and Appendices: Cortical Spectro-Temporal Model (CSTM). - Dario Dematties; George K. Thiruvathukal; Silvio Rizzi 001; Alejandro Wainselboim; B. Silvano Zanutto (Zenodo, 2019)

Experimental Results and Appendices: Cortical Spectro-Temporal Model (CSTM). - Dario Dematties; George K. Thiruvathukal; Silvio Rizzi 001; Alejandro Wainselboim; B. Silvano Zanutto (Zenodo, 2019)

neurophon/neurophon: A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics. - Dario Dematties; George K. Thiruvathukal; Silvio Rizzi 001; Mauricio David Perez; Alejandro Wainselboim; B. Silvano Zanutto (Zenodo, 2019)

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)

Towards an Active Foveated Approach to Computer Vision. - Dario Dematties; Silvio Rizzi 001; George K. Thiruvathukal; Alejandro Wainselboim (Computación y Sistemas, 2022)

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 (WF-IoT, 2023)

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)

Containerization on a self-supervised active foveated approach to computer vision. - Dario Dematties; Silvio Rizzi 001; George K. Thiruvathukal (Rev. Colomb. de Computación, 2024)

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, 2025)