Luca Oneto
Luca Oneto
Verifierad e-postadress på - Startsida
TitelCiteras avÅr
A public domain dataset for human activity recognition using smartphones.
D Anguita, A Ghio, L Oneto, X Parra, JL Reyes-Ortiz
Esann, 2013
Human activity recognition on smartphones using a multiclass hardware-friendly support vector machine
D Anguita, A Ghio, L Oneto, X Parra, JL Reyes-Ortiz
International workshop on ambient assisted living, 216-223, 2012
Transition-aware human activity recognition using smartphones
JL Reyes-Ortiz, L Oneto, A Samā, X Parra, D Anguita
Neurocomputing 171, 754-767, 2016
Big data analytics in the cloud: Spark on hadoop vs mpi/openmp on beowulf.
JL Reyes-Ortiz, L Oneto, D Anguita
INNS Conference on Big Data 8, 121, 2015
Energy Efficient Smartphone-Based Activity Recognition using Fixed-Point Arithmetic.
D Anguita, A Ghio, L Oneto, X Parra, JL Reyes-Ortiz
J. UCS 19 (9), 1295-1314, 2013
In-sample and out-of-sample model selection and error estimation for support vector machines
D Anguita, A Ghio, L Oneto, S Ridella
IEEE Transactions on Neural Networks and Learning Systems 23 (9), 1390-1406, 2012
Condition Based Maintenance in Railway Transportation Systems Based on Big Data Streaming Analysis.
E Fumeo, L Oneto, D Anguita
INNS Conference on Big Data, 437-446, 2015
An analysis of convolutional long short-term memory recurrent neural networks for gesture recognition
E Tsironi, P Barros, C Weber, S Wermter
Neurocomputing 268, 76-86, 2017
Statistical learning theory and ELM for big social data analysis
L Oneto, F Bisio, E Cambria, D Anguita
ieee CompUTATionAl inTelliGenCe mAGAzine 11 (3), 45-55, 2016
Empirical risk minimization under fairness constraints
M Donini, L Oneto, S Ben-David, JS Shawe-Taylor, M Pontil
Advances in Neural Information Processing Systems, 2791-2801, 2018
Machine learning approaches for improving condition-based maintenance of naval propulsion plants
A Coraddu, L Oneto, A Ghio, S Savio, D Anguita, M Figari
Proceedings of the Institution of Mechanical Engineers, Part M: Journal of …, 2016
The'K'in K-fold Cross Validation.
D Anguita, L Ghelardoni, A Ghio, L Oneto, S Ridella
ESANN, 2012
Advances in learning analytics and educational data mining
M Vahdat, A Ghio, L Oneto, D Anguita, M Funk, M Rauterberg
Proc. of ESANN2015, 297-306, 2015
Human activity recognition on smartphones with awareness of basic activities and postural transitions
JL Reyes-Ortiz, L Oneto, A Ghio, A Samá, D Anguita, X Parra
International conference on artificial neural networks, 177-184, 2014
A learning analytics approach to correlate the academic achievements of students with interaction data from an educational simulator
M Vahdat, L Oneto, D Anguita, M Funk, M Rauterberg
Design for teaching and learning in a networked world, 352-366, 2015
Model selection for support vector machines: Advantages and disadvantages of the machine learning theory
D Anguita, A Ghio, N Greco, L Oneto, S Ridella
The 2010 international joint conference on neural networks (IJCNN), 1-8, 2010
Train delay prediction systems: a big data analytics perspective
L Oneto, E Fumeo, G Clerico, R Canepa, F Papa, C Dambra, N Mazzino, ...
Big data research 11, 54-64, 2018
Tikhonov, Ivanov and Morozov regularization for support vector machine learning
L Oneto, S Ridella, D Anguita
Machine Learning 103 (1), 103-136, 2016
Vessels fuel consumption forecast and trim optimisation: a data analytics perspective
A Coraddu, L Oneto, F Baldi, D Anguita
Ocean Engineering 130, 351-370, 2017
Fully empirical and data-dependent stability-based bounds
L Oneto, A Ghio, S Ridella, D Anguita
IEEE transactions on cybernetics 45 (9), 1913-1926, 2014
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Artiklar 1–20