I agree that this site is using cookies. You can find further informations here.
X
Donini, Michele
156  results:
Search for persons X
?
1

Explaining Multiclass Classifiers with Categorical Values: ..:

, In: Trustworthy Machine Learning for Healthcare; Lecture Notes in Computer Science,
Franceschi, Luca ; Zor, Cemre ; Zafar, Muhammad Bilal... - p. 11-24 , 2023
Link: https://doi.org/10.1007/..
 
?
2

Amazon SageMaker Model Monitor: A System for Real-Time Insi..:

, In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
Nigenda, David ; Karnin, Zohar ; Zafar, Muhammad Bilal... - p. 3671-3681 , 2022
Link: https://dl.acm.org/doi/1..
 
?
3

FinLex: An effective use of word embeddings for financial l..:

Das, Sanjiv R. ; Donini, Michele ; Zafar, Muhammad Bilal..
The Journal of Finance and Data Science.  8 (2022)  - p. 1-11 , 2022
Link: https://doi.org/10.1016/..
 
?
4

Deep fair models for complex data: Graphs labeling and expl..:

Franco, Danilo ; Navarin, Nicolò ; Donini, Michele..
Neurocomputing.  470 (2022)  - p. 318-334 , 2022
Link: https://doi.org/10.1016/..
 
?
5

Fair Bayesian Optimization:

, In: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society,
Perrone, Valerio ; Donini, Michele ; Zafar, Muhammad Bilal... - p. 854-863 , 2021
Link: https://dl.acm.org/doi/1..
 
?
6

Voting with random classifiers (VORACE): theoretical and ex..:

Cornelio, Cristina ; Donini, Michele ; Loreggia, Andrea..
Autonomous Agents and Multi-Agent Systems.  35 (2021)  2 - p. , 2021
Link: https://doi.org/10.1007/..
 
?
7

Amazon SageMaker Automatic Model Tuning: Scalable Gradient-..:

, In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining,
Perrone, Valerio ; Shen, Huibin ; Zolic, Aida... - p. 3463-3471 , 2021
Link: https://dl.acm.org/doi/1..
 
?
8

Amazon SageMaker Clarify: Machine Learning Bias Detection a..:

, In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining,
Hardt, Michaela ; Chen, Xiaoguang ; Cheng, Xiaoyi... - p. 2974-2983 , 2021
Link: https://dl.acm.org/doi/1..
 
?
9

General Fair Empirical Risk Minimization:

, In: 2020 International Joint Conference on Neural Networks (IJCNN),
Oneto, Luca ; Donini, Michele ; Pontil, Massimiliano - p. 1-8 , 2020
Link: https://doi.org/10.1109/..
 
?
10

Voting with Random Classifiers (VORACE):

, In: Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems,
Cornelio, Cristina ; Donini, Michele ; Loreggia, Andrea.. - p. 1822-1824 , 2020
Link: https://dl.acm.org/doi/1..
 
?
11

Randomized learning and generalization of fair and private ..:

Oneto, Luca ; Donini, Michele ; Pontil, Massimiliano.
Neurocomputing.  416 (2020)  - p. 231-243 , 2020
Link: https://doi.org/10.1016/..
 
?
12

Learning Fair and Transferable Representations with Theoret..:

, In: 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA),
Oneto, Luca ; Donini, Michele ; Pontil, Massimiliano. - p. 30-39 , 2020
Link: https://doi.org/10.1109/..
 
?
13

Combining heterogeneous data sources for neuroimaging based..:

Donini, Michele ; Monteiro, João M. ; Pontil, Massimiliano...
NeuroImage.  195 (2019)  - p. 215-231 , 2019
Link: https://doi.org/10.1016/..
 
?
14

Scuba: scalable kernel-based gene prioritization:

Zampieri, Guido ; Tran, Dinh Van ; Donini, Michele...
BMC Bioinformatics.  19 (2018)  1 - p. , 2018
Link: https://doi.org/10.1186/..
 
?
15

Measuring the expressivity of graph kernels through Statist..:

Oneto, Luca ; Navarin, Nicolò ; Donini, Michele...
Neurocomputing.  268 (2017)  - p. 4-16 , 2017
Link: https://doi.org/10.1016/..
 
1-15