Ivano Lauriola
Titolo
Citata da
Citata da
Anno
Radius-Margin Ratio Optimization for Dot-Product Boolean Kernel Learning
I Lauriola, M Polato, F Aiolli
International Conference on Artificial Neural Networks, 183-191, 2017
112017
Enhancing deep neural networks via Multiple Kernel Learning
I Lauriola, C Gallicchio, F Aiolli
Pattern Recognition, 107194, 2020
92020
A Novel Boolean Kernels Family for Categorical Data
M Polato, I Lauriola, F Aiolli
Entropy 20 (6), 444, 2018
42018
Learning Representations for Biomedical Named Entity Recognition
I Lauriola, R Sella, F Aiolli, A Lavelli, F Rinaldi
2nd workshop on Natural Language for Artificial Intelligence (NL4AI 2018), 83-94, 2018
42018
The minimum effort maximum output principle applied to Multiple Kernel Learning.
I Lauriola, M Polato, F Aiolli
ESANN, 2018
42018
Classification of Categorical Data in the Feature Space of Monotone DNFs
M Polato, I Lauriola, F Aiolli
International Conference on Artificial Neural Networks, 279-286, 2017
42017
A Heuristic for Multi-attribute Vehicle Routing Problems in Express Freight Transportation
L De Giovanni, N Gastaldon, I Lauriola, F Sottovia
International Conference on Optimization and Decision Science, 161-169, 2017
42017
Learning Dot Product Polynomials for multiclass problems
I Lauriola, M Donini, F Aiolli
Proceedings of the 25th European Symposium of Artificial Neural Networks …, 2017
42017
Fast Hyperparameter Selection for Graph kernels via Subsampling and Multiple Kernel Learning
M Donini, N Navarin, I Lauriola, F Aiolli, F Costa
Proceedings of the 25th European Symposium of Artificial Neural Networks …, 2017
32017
Psychiatric Disorders Classification with 3D Convolutional Neural Networks
S Campese, I Lauriola, C Scarpazza, G Sartori, F Aiolli
INNS Big Data and Deep Learning conference, 48-57, 2019
22019
Learning Preferences for Large Scale Multi-label Problems
I Lauriola, M Polato, A Lavelli, F Rinaldi, F Aiolli
International Conference on Artificial Neural Networks, 546-555, 2018
12018
On the Impact of Early Stopping in Multiple Kernel Learning
I Lauriola
Proceedings of the Future Technologies Conference, 205-215, 2020
2020
Learning deep kernels in the space of monotone Conjunctive Polynomials
I Lauriola, M Polato, F Aiolli
Pattern Recognition Letters, 2020
2020
Monotone Deep Spectrum Kernels
I Lauriola, F Aiolli
International Conference on Artificial Neural Networks, 207-219, 2020
2020
MKLpy: a python-based framework for Multiple Kernel Learning
I Lauriola, F Aiolli
arXiv preprint arXiv:2007.09982, 2020
2020
Context-based Transformer Models for Answer Sentence Selection
I Lauriola, A Moschitti
arXiv preprint arXiv:2006.01285, 2020
2020
DecOp: A Multilingual and Multi-domain Corpus For Detecting Deception In Typed Text
P Capuozzo, I Lauriola, C Strapparava, F Aiolli, G Sartori
Proceedings of The 12th Language Resources and Evaluation Conference, 1423-1430, 2020
2020
Automatic Detection of Cross-language Verbal Deception
C Pasquale, I Lauriola, C Strapparava, A Fabio, S Giuseppe
42nd Annual Conference of the Cognitive Science Society (CogSci'20), 1756-1762, 2020
2020
Do people believe in Artificial Intelligence?: A cross-topic multicultural study
A Kolasinska, I Lauriola, G Quadrio
Proceedings of the 5th EAI International Conference on Smart Objects and …, 2019
2019
Evaluation of Tag Clusterings for User Profiling in Movie Recommendation
G Faggioli, M Polato, I Lauriola, F Aiolli
International Conference on Artificial Neural Networks, 456-468, 2019
2019
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20