متابعة
Gianni Franchi
Gianni Franchi
U2IS, ENSTA Paris, Institut Polytechnique de Paris
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عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case‏
N Díaz-Rodríguez, A Lamas, J Sanchez, G Franchi, I Donadello, S Tabik, ...‏
Information Fusion 79, 58-83, 2022‏
1082022
Deep morphological networks‏
G Franchi, A Fehri, A Yao‏
Pattern Recognition 102, 107246, 2020‏
882020
TRADI: Tracking deep neural network weight distributions‏
G Franchi, A Bursuc, E Aldea, S Dubuisson, I Bloch‏
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020‏
532020
Greybox XAI: A Neural-Symbolic learning framework to produce interpretable predictions for image classification‏
A Bennetot, G Franchi, J Del Ser, R Chatila, N Diaz-Rodriguez‏
Knowledge-Based Systems 258, 109947, 2022‏
402022
Packed-ensembles for efficient uncertainty estimation‏
O Laurent, A Lafage, E Tartaglione, G Daniel, JM Martinez, A Bursuc, ...‏
arXiv preprint arXiv:2210.09184, 2022‏
362022
Muad: Multiple uncertainties for autonomous driving, a benchmark for multiple uncertainty types and tasks‏
G Franchi, X Yu, A Bursuc, A Tena, R Kazmierczak, S Dubuisson, E Aldea, ...‏
arXiv preprint arXiv:2203.01437, 2022‏
342022
Encoding the latent posterior of bayesian neural networks for uncertainty quantification‏
G Franchi, A Bursuc, E Aldea, S Dubuisson, I Bloch‏
IEEE Transactions on Pattern Analysis and Machine Intelligence 46 (4), 2027-2040, 2023‏
322023
One versus all for deep neural network for uncertainty (ovnni) quantification‏
G Franchi, A Bursuc, E Aldea, S Dubuisson, I Bloch‏
IEEE Access 10, 7300-7312, 2021‏
292021
Scaling for training time and post-hoc out-of-distribution detection enhancement‏
K Xu, R Chen, G Franchi, A Yao‏
arXiv preprint arXiv:2310.00227, 2023‏
262023
Learning deep morphological networks with neural architecture search‏
Y Hu, N Belkhir, J Angulo, A Yao, G Franchi‏
Pattern Recognition 131, 108893, 2022‏
232022
Latent discriminant deterministic uncertainty‏
G Franchi, X Yu, A Bursuc, E Aldea, S Dubuisson, D Filliat‏
European Conference on Computer Vision, 243-260, 2022‏
222022
Robust Semantic Segmentation with Superpixel-Mix‏
G Franchi, N Belkhir, ML Ha, Y Hu, A Bursuc, V Blanz, A Yao‏
arXiv preprint arXiv:2108.00968v2, 2021‏
212021
Morphological principal component analysis for hyperspectral image analysis‏
G Franchi, J Angulo‏
ISPRS International Journal of Geo-Information 5 (6), 83, 2016‏
212016
NECO: NEural Collapse Based Out-of-distribution detection‏
M Ben Ammar, N Belkhir, S Popescu, A Manzanera, G Franchi‏
arXiv e-prints, arXiv: 2310.06823, 2023‏
14*2023
SLURP: Side learning uncertainty for regression problems‏
X Yu, G Franchi, E Aldea‏
arXiv preprint arXiv:2110.11182, 2021‏
132021
Enhanced EDX images by fusion of multimodal SEM images using pansharpening techniques‏
G Franchi, J Angulo, M Moreaud, L Sorbier‏
Journal of microscopy 269 (1), 94-112, 2018‏
132018
Ordering on the probability simplex of endmembers for hyperspectral morphological image processing‏
G Franchi, J Angulo‏
Mathematical Morphology and Its Applications to Signal and Image Processing …, 2015‏
132015
Bagging stochastic watershed on natural color image segmentation‏
G Franchi, J Angulo‏
Mathematical Morphology and Its Applications to Signal and Image Processing …, 2015‏
102015
Comparative study on morphological principal component analysis of hyperspectral images‏
G Franchi, J Angulo‏
2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2014‏
102014
A study of deep perceptual metrics for image quality assessment‏
R Kazmierczak, G Franchi, N Belkhir, A Manzanera, D Filliat‏
arXiv preprint arXiv:2202.08692, 2022‏
82022
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مقالات 1–20