| Deep object detection of crop weeds: Performance of YOLOv7 on a real case dataset from UAV images I Gallo, AU Rehman, RH Dehkordi, N Landro, R La Grassa, M Boschetti Remote Sensing 15 (2), 539, 2023 | 63 | 2023 |
| Combining optimization methods using an adaptive meta optimizer N Landro, I Gallo, R La Grassa Algorithms 14 (6), 186, 2021 | 34* | 2021 |
| Image and text fusion for upmc food-101 using bert and cnns I Gallo, G Ria, N Landro, R La Grassa 2020 35th International Conference on Image and Vision Computing New Zealand …, 2020 | 32 | 2020 |
| Learn class hierarchy using convolutional neural networks R La Grassa, I Gallo, N Landro Applied Intelligence 51 (10), 6622-6632, 2021 | 22 | 2021 |
| Hyperspectral data compression using fully convolutional autoencoder R La Grassa, C Re, G Cremonese, I Gallo Remote Sensing 14 (10), 2472, 2022 | 14 | 2022 |
| In-season and dynamic crop mapping using 3D convolution neural networks and sentinel-2 time series I Gallo, L Ranghetti, N Landro, R La Grassa, M Boschetti ISPRS Journal of Photogrammetry and Remote Sensing 195, 335-352, 2023 | 13 | 2023 |
| Food recommendations for reducing water footprint I Gallo, N Landro, R La Grassa, A Turconi Sustainability 14 (7), 3833, 2022 | 11 | 2022 |
| Two new datasets for italian-language abstractive text summarization N Landro, I Gallo, R La Grassa, E Federici Information 13 (5), 228, 2022 | 10 | 2022 |
| OCmst: One-class novelty detection using convolutional neural network and minimum spanning trees R La Grassa, I Gallo, N Landro Pattern Recognition Letters 155, 114-120, 2022 | 8 | 2022 |
| Sentinel 2 Time Series Analysis with 3D Feature Pyramid Network and Time Domain Class Activation Intervals for Crop Mapping I Gallo, R La Grassa, N Landro, M Boschetti ISPRS International Journal of Geo-Information 10 (7), 483, 2021 | 7 | 2021 |
| YOLOLens: A deep learning model based on super-resolution to enhance the crater detection of the planetary surfaces R La Grassa, G Cremonese, I Gallo, C Re, E Martellato Remote Sensing 15 (5), 1171, 2023 | 5 | 2023 |
| An adversarial generative network designed for high-resolution monocular depth estimation from 2d hirise images of mars R La Grassa, I Gallo, C Re, G Cremonese, N Landro, C Pernechele, ... Remote Sensing 14 (18), 4619, 2022 | 4 | 2022 |
| Binary classification using pairs of minimum spanning trees or n-ary trees RL Grassa, I Gallo, A Calefati, D Ognibene Computer Analysis of Images and Patterns: 18th International Conference …, 2019 | 4 | 2019 |
| A Prototype of Wireless Sensor for Data Acquisition in Energy Management Systems M Luna, G La Tona, MC di Piazza, M Pucci, A Accetta, D Taibi, C Vetro, ... 2018 IEEE International Conference on Environment and Electrical Engineering …, 2018 | 4 | 2018 |
| σ2R loss: A weighted loss by multiplicative factors using sigmoidal functions R La Grassa, I Gallo, N Landro Neurocomputing 470, 217-225, 2022 | 3 | 2022 |
| Visual word embedding for text classification I Gallo, S Nawaz, N Landro, RL Grassainst International Conference on Pattern Recognition, 339-352, 2021 | 3 | 2021 |
| Picture What you Read I Gallo, S Nawaz, A Calefati, R La Grassa, N Landro 2019 Digital Image Computing: Techniques and Applications (DICTA), 1-7, 2019 | 3 | 2019 |
| Dynamic decision boundary for one-class classifiers applied to non-uniformly sampled data R La Grassa, I Gallo, N Landro 2020 Digital Image Computing: Techniques and Applications (DICTA), 1-7, 2020 | 2 | 2020 |
| A classification methodology based on subspace graphs learning R La Grassa, I Gallo, A Calefati, D Ognibene 2019 Digital Image Computing: Techniques and Applications (DICTA), 1-8, 2019 | 2 | 2019 |
| In-lab characterization of HYPSOS, a novel stereo hyperspectral observing system: first results G Naletto, L Agostini, G Cremonese, E Desirò, I Dorgnach, C Doria, ... International Conference on Space Optics—ICSO 2022 12777, 2292-2305, 2023 | 1 | 2023 |
Ignazio GalloAssistant Professor of Computer Science, University of InsubriaAdresă de e-mail confirmată pe uninsubria.it
