المؤلفون: Cassio F. Dantas, Raffaelle Gaetano, Claudia Paris, Dino Ienco

المصدر: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 1681-1694 (2025)

مصطلحات موضوعية: Contrastive learning, data-centric artificial intelligence (data-centric AI), domain adaptation, land cover (LC) mapping, satellite image time series (SITS), Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10759767/; https://doaj.org/toc/1939-1404; https://doaj.org/toc/2151-1535

URL الوصول: https://doaj.org/article/90fe3160da114cd680628cb1ab43f373

المؤلفون: Isabelle Rocamora, Dino Ienco, Matthieu Ferry

المصدر: Geo-spatial Information Science, Vol 27, Iss 6, Pp 1747-1766 (2024)

مصطلحات موضوعية: Deep learning, data fusion, geomorphology, moraines, mapping, Mathematical geography. Cartography, GA1-1776, Geodesy, QB275-343

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1009-5020; https://doaj.org/toc/1993-5153

URL الوصول: https://doaj.org/article/48ed94acb1ce4fa0a678db7cae5bcc92

المؤلفون: Liliana Martirano, Dino Ienco, Roberto Interdonato, Andrea Tagarelli

المصدر: Applied Network Science, Vol 9, Iss 1, Pp 1-28 (2024)

مصطلحات موضوعية: Graph Continual Learning, Heterogeneous Information Networks, Incremental Graph Neural Networks, Applied mathematics. Quantitative methods, T57-57.97

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2364-8228

URL الوصول: https://doaj.org/article/57a420f47f304f469ba4796920ebfb3b

المؤلفون: Saeideh Maleki, Nicolas Baghdadi, Hassan Bazzi, Cassio Fraga Dantas, Dino Ienco, Yasser Nasrallah, Sami Najem

المصدر: Remote Sensing, Vol 16, Iss 23, p 4548 (2024)

مصطلحات موضوعية: Random Forest, Multi-Layer Perceptron, XGBoost, InceptionTime, S1 backscattering coefficient, S1 polarimetric parameters, Science

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2072-4292/16/23/4548; https://doaj.org/toc/2072-4292

URL الوصول: https://doaj.org/article/b7bb4eb67dbb40f19bee5ee7ac7742e2

المؤلفون: Dino Ienco

المصدر: IEEE Access, Vol 11, Pp 20877-20884 (2023)

مصطلحات موضوعية: Positive unlabeled learning, multi-variate time series, self-training, recurrent neural network, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10056929/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/1e32ec9ae6354b7a93b2a3ea71c0e811

المؤلفون: Karun R. Dayal, Sylvie Durrieu, Kamel Lahssini, Dino Ienco, Jean-Matthieu Monnet

المصدر: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 3531-3544 (2023)

مصطلحات موضوعية: Area-based approach (ABA), artificial neural networks (ANN), forest attribute, lidar, Random forest (RF), topography, Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10101677/; https://doaj.org/toc/2151-1535

URL الوصول: https://doaj.org/article/edfbcfde322943a6b92b7935e50766a8

المؤلفون: Saeideh Maleki, Nicolas Baghdadi, Cassio Fraga Dantas, Sami Najem, Hassan Bazzi, Nuria Pantaleoni Reluy, Dino Ienco, Mehrez Zribi

المصدر: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 8884-8899 (2023)

مصطلحات موضوعية: Deep learning (DL), INCEPTIONTIME, long short-term memory fully convolutional network (LSTM-FCN), multilayer perceptron (MLP), random forest (RF), rapeseed, Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10254255/; https://doaj.org/toc/2151-1535

URL الوصول: https://doaj.org/article/f5902960fed148f2ab43cb5a43745346

المؤلفون: Emmanuel Capliez, Dino Ienco, Raffaele Gaetano, Nicolas Baghdadi, Adrien Hadj Salah

المصدر: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 3645-3675 (2023)

مصطلحات موضوعية: Deep learning, land-cover mapping, satellite image time series (SITS), temporal-domain adaptation, Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10089508/; https://doaj.org/toc/2151-1535

URL الوصول: https://doaj.org/article/b2f732ecb8404c5bbfd48bc2b7c4da1c

المؤلفون: Daniel Carcereri, Paola Rizzoli, Dino Ienco, Lorenzo Bruzzone

المصدر: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 8334-8352 (2023)

مصطلحات موضوعية: Bistatic coherence, convolutional neural network (CNN), deep learning, forest height, synthetic aperture radar (SAR), synthetic aperture radar interferometry, Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10234548/; https://doaj.org/toc/2151-1535

URL الوصول: https://doaj.org/article/ae518d5f090d4bd998d9531e01bda763

المؤلفون: Johann Desloires, Dino Ienco, Antoine Botrel

المصدر: Remote Sensing, Vol 16, Iss 9, p 1573 (2024)

مصطلحات موضوعية: yield forecasting, machine learning, thermal time, Sentinel-2, land surface temperature, early season forecasting, Science

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2072-4292/16/9/1573; https://doaj.org/toc/2072-4292

URL الوصول: https://doaj.org/article/ec3af4e11f5a4f139fceb9c88a66142e

المؤلفون: Saeideh Maleki, Nicolas Baghdadi, Sami Najem, Cassio Fraga Dantas, Hassan Bazzi, Dino Ienco

المصدر: Remote Sensing, Vol 16, Iss 3, p 549 (2024)

مصطلحات موضوعية: rapeseed mapping, Sentinel-1, machine learning, neural networks, Science

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2072-4292/16/3/549; https://doaj.org/toc/2072-4292

URL الوصول: https://doaj.org/article/3d42496857fb41f780653569378e1ecf

المؤلفون: Amedeo Racanati, Roberto Esposito, Dino Ienco

المصدر: IEEE Access, Vol 10, Pp 51839-51849 (2022)

مصطلحات موضوعية: Multi-positive unlabelled learning, weakly supervised learning, tabular data, metric learning, deep clustering, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9773176/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/de0d24ac0df24a82855efd86bdeac167

المؤلفون: Kamel Lahssini, Florian Teste, Karun Reuel Dayal, Sylvie Durrieu, Dino Ienco, Jean-Matthieu Monnet

المصدر: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 4337-4348 (2022)

مصطلحات موضوعية: Convolutional neural networks (CNNs), forest monitoring, multiscale remote sensing, multisensor data fusion, structure and biophysical variables estimation, Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9779099/; https://doaj.org/toc/2151-1535

URL الوصول: https://doaj.org/article/13e2c222d7ae4400b11996de08326aa3

المؤلفون: Alessandro Michele Censi, Dino Ienco, Yawogan Jean Eudes Gbodjo, Ruggero Gaetano Pensa, Roberto Interdonato, Raffaele Gaetano

المصدر: IEEE Access, Vol 9, Pp 23070-23082 (2021)

مصطلحات موضوعية: Spatial temporal graph convolutional neural network, attention-based neural network, object-based image classification, satellite image time series, land cover classification, deep learning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9340250/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/8fb0a12c7d4d482995c204a998d89681

المؤلفون: Yawogan Jean Eudes Gbodjo, Olivier Montet, Dino Ienco, Raffaele Gaetano, Stephane Dupuy

المصدر: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 11485-11499 (2021)

مصطلحات موضوعية: Convolutional neural networks (CNNs), land use and land cover (LULC) mapping, multisensor, multitemporal and multiscale remote sensing, self-distillation, sparsely annotated data, Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9566776/; https://doaj.org/toc/2151-1535

URL الوصول: https://doaj.org/article/c122c482e24f42d599480cb0c63d64e6

المؤلفون: Ekaterina Kalinicheva, Dino Ienco, Jeremie Sublime, Maria Trocan

المصدر: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 1450-1466 (2020)

مصطلحات موضوعية: Autoencoder (AE), change detection, gated recurrent unit (GRU), object-oriented image analysis, pattern recognition, satellite image time series (SITS), Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9050903/; https://doaj.org/toc/2151-1535

URL الوصول: https://doaj.org/article/f4894437db9d47b5aabfcf951a9f8f0e

المؤلفون: Dino Ienco, Yawogan Jean Eudes Gbodjo, Raffaele Gaetano, Roberto Interdonato

المصدر: IEEE Access, Vol 8, Pp 179547-179560 (2020)

مصطلحات موضوعية: Weakly supervised learning, object-based image classification, satellite image time series, land cover classification, deep learning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9197599/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/e1106f2a1a0a47658348f9c9977a4abf

المؤلفون: Johann Desloires, Dino Ienco, Antoine Botrel, Nicolas Ranc

المصدر: Remote Sensing, Vol 14, Iss 1, p 140 (2021)

مصطلحات موضوعية: land cover mapping, positive unlabelled learning, satellite image time series, deep learning, Science

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2072-4292/14/1/140; https://doaj.org/toc/2072-4292

URL الوصول: https://doaj.org/article/5cbd22baed43445fabc972ffadfbb6d2

المؤلفون: Yawogan Jean Eudes Gbodjo, Dino Ienco, Louise Leroux, Roberto Interdonato, Raffaele Gaetano, Babacar Ndao

المصدر: Remote Sensing, Vol 12, Iss 17, p 2814 (2020)

مصطلحات موضوعية: land cover classification, multi-source remote sensing, satellite image time series, object based image analysis, deep learning, neural networks pretraining, Science

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2072-4292/12/17/2814; https://doaj.org/toc/2072-4292

URL الوصول: https://doaj.org/article/6943b0acc77c45a8bad37428460bad0b

المؤلفون: Hassan Bazzi, Nicolas Baghdadi, Dino Ienco, Mohammad El Hajj, Mehrez Zribi, Hatem Belhouchette, Maria Jose Escorihuela, Valérie Demarez

المصدر: Remote Sensing, Vol 11, Iss 15, p 1836 (2019)

مصطلحات موضوعية: irrigation, Sentinel-1, principal components, wavelet transformation, random forest, deep learning, convolutional neural network, Spain, Science

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2072-4292/11/15/1836; https://doaj.org/toc/2072-4292

URL الوصول: https://doaj.org/article/7ea142eda64e40c7bd3ef40119454a35