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Filippone, Maurizio
143  Ergebnisse:
Personensuche X
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1

Spatial Bayesian neural networks:

Zammit-Mangion, Andrew ; Kaminski, Michael D. ; Tran, Ba-Hien..
Spatial Statistics.  60 (2024)  - p. 100825 , 2024
Link: https://doi.org/10.1016/..
 
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2

How Much Is Enough? A Study on Diffusion Times in Score-Bas..:

Franzese, Giulio ; Rossi, Simone ; Yang, Lixuan...
Entropy.  25 (2023)  4 - p. 633 , 2023
Link: https://doi.org/10.3390/..
 
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3

Variational Bootstrap for Classification:

Kozyrskiy, Bogdan ; Milios, Dimitrios ; Filippone, Maurizio
Procedia Computer Science.  207 (2022)  - p. 1222-1231 , 2022
Link: https://doi.org/10.1016/..
 
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4

Locally Smoothed Gaussian Process Regression:

Gogolashvili, Davit ; Kozyrskiy, Bogdan ; Filippone, Maurizio
Procedia Computer Science.  207 (2022)  - p. 2717-2726 , 2022
Link: https://doi.org/10.1016/..
 
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5

Local Random Feature Approximations of the Gaussian Kernel:

Wacker, Jonas ; Filippone, Maurizio
Procedia Computer Science.  207 (2022)  - p. 987-996 , 2022
Link: https://doi.org/10.1016/..
 
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6

Model Monitoring and Dynamic Model Selection in Travel Time..:

, In: Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track; Lecture Notes in Computer Science,
Candela, Rosa ; Michiardi, Pietro ; Filippone, Maurizio. - p. 513-529 , 2021
Link: https://doi.org/10.1007/..
 
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7

Assessing Bayesian Semi‐Parametric Log‐Linear Models: An Ap..:

Carota, Cinzia ; Filippone, Maurizio ; Polettini, Silvia
International Statistical Review.  90 (2021)  1 - p. 165-183 , 2021
Link: https://doi.org/10.1111/..
 
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8

Deep Compositional Spatial Models:

Zammit-Mangion, Andrew ; Ng, Tin Lok James ; Vu, Quan.
Journal of the American Statistical Association.  117 (2021)  540 - p. 1787-1808 , 2021
Link: https://doi.org/10.1080/..
 
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9

A Scalable Bayesian Sampling Method Based on Stochastic Gra..:

Franzese, Giulio ; Milios, Dimitrios ; Filippone, Maurizio.
Entropy.  23 (2021)  11 - p. 1426 , 2021
Link: https://doi.org/10.3390/..
 
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10

Towards a generic deep learning pipeline for traffic measur..:

, In: Proceedings of the CoNEXT Student Workshop,
Azorin, Raphaël ; Gallo, Massimo ; Finamore, Alessandro... - p. 5-6 , 2021
Link: https://dl.acm.org/doi/1..
 
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11

Kernel Computations from Large-Scale Random Features Obtain..:

, In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Ohana, Ruben ; Wacker, Jonas ; Dong, Jonathan... - p. 9294-9298 , 2020
Link: https://doi.org/10.1109/..
 
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12

A comparative evaluation of novelty detection algorithms fo..:

Domingues, Rémi ; Michiardi, Pietro ; Barlet, Jérémie.
Artificial Intelligence Review.  53 (2019)  5 - p. 3787-3812 , 2019
Link: https://doi.org/10.1007/..
 
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13

Probabilistic disease progression modeling to characterize ..:

Lorenzi, Marco ; Filippone, Maurizio ; Frisoni, Giovanni B...
NeuroImage.  190 (2019)  - p. 56-68 , 2019
Link: https://doi.org/10.1016/..
 
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14

Exact gaussian process regression with distributed computat..:

, In: Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing,
Nguyen, Duc-Trung ; Filippone, Maurizio ; Michiardi, Pietro - p. 1286-1295 , 2019
Link: https://dl.acm.org/doi/1..
 
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15

Deep Gaussian Process autoencoders for novelty detection:

Domingues, Rémi ; Michiardi, Pietro ; Zouaoui, Jihane.
Machine Learning.  107 (2018)  8-10 - p. 1363-1383 , 2018
Link: https://doi.org/10.1007/..
 
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