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Giorgio Corani
Giorgio Corani
IDSIA (Istituto Dalle Molle di Studi sull'Intelligenza Artificiale)
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Title
Cited by
Cited by
Year
Probabilistic reconciliation of count time series
G Corani, D Azzimonti, N Rubattu
International Journal of Forecasting 40 (2), 457-469, 2024
112024
Efficient probabilistic reconciliation of forecasts for real-valued and count time series
L Zambon, D Azzimonti, G Corani
Statistics and Computing 34 (1), 21, 2024
82024
Properties of the reconciled distributions for Gaussian and count forecasts
L Zambon, A Agosto, P Giudici, G Corani
International Journal of Forecasting, 2024
12024
Electricity Load and Peak Forecasting: Feature Engineering, Probabilistic LightGBM and Temporal Hierarchies
N Rubattu, G Maroni, G Corani
International Workshop on Advanced Analytics and Learning on Temporal Data …, 2023
2023
A Bayesian hierarchical score for structure learning from related data sets
L Azzimonti, G Corani, M Scutari
International Journal of Approximate Reasoning 142, 248-265, 2022
32022
Time Series Forecasting with Gaussian Processes Needs Priors
G Corani, A Benavoli, M Zaffalon
ECML PKDD 2021: Machine Learning and Knowledge Discovery in Databases …, 2021
39*2021
State space approximation of gaussian processes for time series forecasting
A Benavoli, G Corani
Advanced Analytics and Learning on Temporal Data: 6th ECML PKDD Workshop …, 2021
22021
Impact on place of death in cancer patients: a causal exploration in southern Switzerland
H Kern, G Corani, D Huber, N Vermes, M Zaffalon, M Varini, C Wenzel, ...
BMC palliative care 19 (1), 160, 2020
142020
Probabilistic reconciliation of hierarchical forecast via Bayes’ rule
G Corani, D Azzimonti, JPSC Augusto, M Zaffalon
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2020
212020
Correction to: Efficient feature selection using shrinkage estimators
K Sechidis, L Azzimonti, A Pocock, G Corani, J Weatherall, G Brown
Machine Learning 109, 1565-1567, 2020
2020
Structure learning from related data sets with a hierarchical Bayesian score
L Azzimonti, G Corani, M Scutari
International conference on probabilistic graphical models, 5-16, 2020
52020
Sampling subgraphs with guaranteed treewidth for accurate and efficient graphical inference
J Yoo, U Kang, M Scanagatta, G Corani, M Zaffalon
Proceedings of the 13th International Conference on Web Search and Data …, 2020
142020
Efficient feature selection using shrinkage estimators
K Sechidis, L Azzimonti, A Pocock, G Corani, J Weatherall, G Brown
Machine Learning 108, 1261-1286, 2019
312019
Hierarchical estimation of parameters in Bayesian networks
L Azzimonti, G Corani, M Zaffalon
Computational Statistics & Data Analysis 137, 67-91, 2019
222019
A tutorial on machine learning for failure management in optical networks
F Musumeci, C Rottondi, G Corani, S Shahkarami, F Cugini, M Tornatore
Journal of Lightwave Technology 37 (16), 4125-4139, 2019
1192019
Hybrid heuristic for the optimal design of photovoltaic installations considering mismatch loss effects
M Salani, G Corbellini, G Corani
Computers & Operations Research 108, 112-120, 2019
22019
Special issue on the tenth International Symposium on Imprecise Probability: Theories and Applications (ISIPTA'17)
A Antonucci, G Corani, I Couso, S Destercke
International Journal of Approximate Reasoning 111, 100-101, 2019
2019
Towards predictive quality management in assembly systems with low quality low quantity data–a methodological approach
T Gittler, E Relea, D Corti, G Corani, L Weiss, D Cannizzaro, K Wegener
Procedia Cirp 79, 125-130, 2019
162019
What Interplay of Factors Influences the Place of Death in Cancer Patients? An Innovative Probabilistic Approach Sheds Light on a Well-known Question
H Kern, G Corani, D Huber, N Vermes, M Zaffalon
Journal of Pain and Symptom Management 56 (6), e25, 2018
2018
Approximate structure learning for large Bayesian networks
M Scanagatta, G Corani, CP De Campos, M Zaffalon
Machine Learning 107, 1209-1227, 2018
472018
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