Davide Anguita
Davide Anguita
DIBRIS - University of Genova, Italy
Email verificata su unige.it
Titolo
Citata da
Citata da
Anno
A public domain dataset for human activity recognition using smartphones.
D Anguita, A Ghio, L Oneto, X Parra, JL Reyes-Ortiz
Esann 3, 3, 2013
13092013
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
8412012
Transition-aware human activity recognition using smartphones
JL Reyes-Ortiz, L Oneto, A Sama, X Parra, D Anguita
Neurocomputing 171, 754-767, 2016
4782016
A digital architecture for support vector machines: theory, algorithm, and FPGA implementation
D Anguita, A Boni, S Ridella
IEEE Transactions on neural networks 14 (5), 993-1009, 2003
2582003
Big data analytics in the cloud: Spark on hadoop vs mpi/openmp on beowulf
JL Reyes-Ortiz, L Oneto, D Anguita
Procedia Computer Science 53, 121-130, 2015
2132015
Energy Efficient Smartphone-Based Activity Recognition using Fixed-Point Arithmetic.
D Anguita, A Ghio, L Oneto, X Parra, JL Reyes-Ortiz
J. Univers. Comput. Sci. 19 (9), 1295-1314, 2013
1872013
Energy load forecasting using empirical mode decomposition and support vector regression
L Ghelardoni, A Ghio, D Anguita
IEEE Transactions on Smart Grid 4 (1), 549-556, 2013
1762013
The ‘K’in K-fold cross validation
D Anguita, L Ghelardoni, A Ghio, L Oneto, S Ridella
20th European Symposium on Artificial Neural Networks, Computational …, 2012
1252012
Condition based maintenance in railway transportation systems based on big data streaming analysis
E Fumeo, L Oneto, D Anguita
Procedia Computer Science 53, 437-446, 2015
1242015
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
1222016
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
1202012
Theoretical and practical model selection methods for support vector classifiers
D Anguita, A Boni, S Ridella, F Rivieccio, D Sterpi
Support vector machines: theory and applications, 159-179, 2005
1102005
Building an underwater wireless sensor network based on optical: Communication: Research challenges and current results
D Anguita, D Brizzolara, G Parodi
2009 Third International Conference on Sensor Technologies and Applications …, 2009
852009
K-Fold Cross Validation for Error Rate Estimate in Support Vector Machines.
D Anguita, A Ghio, S Ridella, D Sterpi
DMIN, 291-297, 2009
842009
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
832016
Quantum optimization for training support vector machines
D Anguita, S Ridella, F Rivieccio, R Zunino
Neural Networks 16 (5-6), 763-770, 2003
782003
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
762017
Hyperparameter design criteria for support vector classifiers
D Anguita, S Ridella, F Rivieccio, R Zunino
Neurocomputing 55 (1-2), 109-134, 2003
752003
Feed-forward support vector machine without multipliers
D Anguita, S Pischiutta, S Ridella, D Sterpi
IEEE Transactions on Neural Networks 17 (5), 1328-1331, 2006
732006
Optical wireless communication for underwater wireless sensor networks: Hardware modules and circuits design and implementation
D Anguita, D Brizzolara, G Parodi
OCEANS 2010 MTS/IEEE SEATTLE, 1-8, 2010
702010
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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