| Learning from users: an elicitation study and taxonomy for communicating small unmanned aerial system states through gestures JW Firestone, R Quiñones, BA Duncan 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI …, 2019 | 19 | 2019 |
| Multi-feature data repository development and analytics for image cosegmentation in high-throughput plant phenotyping R Quiñones, F Munoz-Arriola, SD Choudhury, A Samal PLoS One 16 (9), e0257001, 2021 | 11 | 2021 |
| How academic podcasting can change academia and its relationship with society: a conversation and guide M Cox, H Harrison, S Partelow, S Curtis, S Elser, C Hammond Wagner, ... Frontiers in Communication 8, 65, 2023 | 7 | 2023 |
| OSC-CO^ 2: Coattention and Cosegmentation Framework for Plant State Change with Multiple Features R Quiñones, S Samal, Ashok, Das Choudhury, F Muñoz-Arriola Frontiers in Plant Science 14, 1211409, 2023 | 5 | 2023 |
| New multimedia resources for ecological resilience education in modern university classrooms KFE Hogan, JA Fowler, CD Barnes, AK Ludwig, DJ Cristiano, D Morales, ... Ecosphere 13 (10), e4245, 2022 | 3 | 2022 |
| Data-driven techniques for plant phenotyping using hyperspectral imagery S Gampa, R Quiñones Intelligent image analysis for plant phenotyping, 175-194, 2020 | 2 | 2020 |
| GCNet: A Deep Learning Framework for Enhanced Grape Cluster Segmentation and Yield Estimation Incorporating Occluded Grape Detection with a Correction Factor for Indoor … R Quiñones, SM Banu, E Gultepe Journal of Imaging 11 (2), 34, 2025 | | 2025 |
| Using Computer Vision to Accelerate Plant Improvement through High-Throughput Phenotyping Workshop R Quiñones, C Butts-Wilmsmeyer ASA, CSSA, SSSA International Annual Meeting, 2024 | | 2024 |
| GCNet: Generating Truer Yield Estimates by Incorporating the Unseen Grapes Using a Correction Factor SM Banu Southern Illinois University at Edwardsville, 2024 | | 2024 |
| DA3-BES: Exploring Complex Adaptive Systems Using Dynamic Multi-Agent Models for Honey Bee Colony Environment Simulation B Wingerter, R Quiñones, D Cristiano Teaching Issues and Experiments in Ecology 19, 2023 | | 2023 |
| Improving Precipitation Data for Diagnostics of Extreme Hydroclimate Events Coupling Singular Spectrum Analysis and Machine Learning Analytics M Mig, F Munoz-Arriola, H Aslam, R Quiñones 103rd AMS Annual Meeting, 2023 | | 2023 |
| CoPPNet: A Cosegmentation-Based Deep Learning Network for Accurate Foreground Segmentation in Plant Imagery R Quinones, F Munoz-Arriola, SD Choudhury, A Samal Authorea Preprints, 2022 | | 2022 |
| Accurate Co-Segmentation in High-Throughput And High Dimensional Plant Image Sequences R Quinones, F Munoz-Arriola, SD Choudhury, A Samal Authorea Preprints, 2022 | | 2022 |
| Advancing Detection of Dynamic Environmental Effects on Plants Using Computer Vision Analytics in High-Throughput Phenotyping Facilities R Quinones, F Munoz-Arriola, SD Choudhury, A Samal 102nd American Meteorological Society Annual Meeting, 2022 | | 2022 |
| Development of Climatic Spatiotemporal and Analytical Visualization for Maize Response to Climate P Sarzaeim, H Aslam, R Quinones, F Munoz-Arriola 102nd American Meteorological Society Annual Meeting, 2022 | | 2022 |
| Withdrawn: Hydroclimate Data Improvements for Extreme-Event Diagnostics in Rwanda Using Random Forests M Mig, R Quinones, F Munoz-Arriola 102nd American Meteorological Society Annual Meeting, 2022 | | 2022 |
| Unsupervised Cosegmentation and Phenotypes for Multi-Modal,-View, and-State Imagery R Quiñones The University of Nebraska-Lincoln, 2022 | | 2022 |
Francisco Muñoz-ArriolaAssociate Professor of Hydroinformatics and Integrated HydroclimateΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα unl.edu
