| A guide to signal processing algorithms for nanopore sensors C Wen, D Dematties, SL Zhang ACS sensors 6 (10), 3536-3555, 2021 | 44 | 2021 |
| Deep learning of Nanopore sensing signals using a bi-path network D Dematties, C Wen, MD Pérez, D Zhou, SL Zhang ACS nano 15 (9), 14419-14429, 2021 | 10 | 2021 |
| Let’s unleash the network judgment: A self-supervised approach for cloud image analysis D Dematties, BA Raut, S Park, RC Jackson, S Shahkarami, Y Kim, ... Artificial Intelligence for the Earth Systems 2 (2), 220063, 2023 | 4 | 2023 |
| A computational theory for the emergence of grammatical categories in cortical dynamics D Dematties, S Rizzi, GK Thiruvathukal, MD Pérez, A Wainselboim, ... Frontiers in neural circuits 14, 12, 2020 | 4 | 2020 |
| Phonetic acquisition in cortical dynamics, a computational approach D Dematties, S Rizzi, GK Thiruvathukal, A Wainselboim, BS Zanutto PLoS One 14 (6), e0217966, 2019 | 4 | 2019 |
| Optimizing cloud motion estimation on the edge with phase correlation and optical flow BA Raut, P Muradyan, R Sankaran, RC Jackson, S Park, SA Shahkarami, ... Atmospheric Measurement Techniques 16 (5), 1195-1209, 2023 | 3* | 2023 |
| A generalized transformer-based pulse detection algorithm D Dematties, C Wen, SL Zhang ACS sensors 7 (9), 2710-2720, 2022 | 3 | 2022 |
| Neural Network Approach for Dielectric Characterization of Tissues in Microwave Frequencies using Coplanar Waveguide Transmission V Mattsson, MD Perez, D Dematties, R Augustine 2020 14th European Conference on Antennas and Propagation (EuCAP), 1-5, 2020 | 3 | 2020 |
| Neural correlates of semantic integration in Spanish verb-noun compounds: an ERP study M Güemes, J Menendez, C Gattei, D Demattíes, A Iorio, A Wainselboim Language, Cognition and Neuroscience 37 (3), 315-329, 2022 | 1 | 2022 |
| Towards high-end scalability on biologically-inspired computational models D Dematties, GK Thiruvathukal, S Rizzi, A Wainselboim, BS Zanutto Parallel Computing: Technology Trends, 497-506, 2020 | 1 | 2020 |
| CROCUS Air Quality Data at Northeastern Illinois University Rooftop J O'Brien, G Anderson, P Muradyan, M Tuftedal, S Collis, R Jackson, ... Environmental System Science Data Infrastructure for a Virtual Ecosystem …, 2024 | | 2024 |
| Doppler spectra from ARM Doppler Lidar during ARMing the Edge B Raut, S Park, D Dematties, S Collis, N Ferrier, Y Kim, S Shahkarami, ... Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States …, 2023 | | 2023 |
| ARMing the Edge: Designing Edge Computing–Capable Machine Learning Algorithms to Target ARM Doppler Lidar Processing RC Jackson, BA Raut, D Dematties, SM Collis, N Ferrier, P Beckman, ... Artificial Intelligence for the Earth Systems 2 (4), 220062, 2023 | | 2023 |
| Adversarial Predictions of Data Distributions Across Federated Internet-of-Things Devices S Rajani, D Dematties, N Hudson, K Chard, N Ferrier, R Sankaran, ... arXiv preprint arXiv:2308.14658, 2023 | | 2023 |
| A Self-supervised Approach for Cloud Image Analysis BA Raut, D Dematties, RC Jackson, S Park, S Shahkarami, Y Kim, ... 103rd AMS Annual Meeting, 2023 | | 2023 |
| Towards an active foveated approach to computer vision D Dematties, S Rizzi, GK Thiruvathukal, A Wainselboim Computación y Sistemas 26 (4), 1635-1647, 2022 | | 2022 |
| NANOPORE_TRANSLOCATIONS: Nanopore Translocation (Pulse) Detector: Nanopore Translocations for translocations count and feature extraction D Dematties, C Wen, M Pérez, D Zhou, SL Zhang | | 2021 |
| Towards High-End Scalability on Bio-Inspired Computational Models D Dematties, S Rizzi, GK Thiruvathukal | | 2020 |
| Datasets used to train and test the Cortical Spectro-Temporal Model (CSTM) D Dematties, GK Thiruvathukal, S Rizzi, AJ Wainselboim, BS Zanutto | | 2019 |
| Experimental Results and Appendices: Cortical Spectro-Temporal Model (CSTM). D Dematties, GK Thiruvathukal, S Rizzi, AJ Wainselboim, BS Zanutto | | 2019 |
