Davide Anguita
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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
Human activity recognition on smartphones using a multiclass hardware-friendly support vector machine
D Anguita, A Ghio, L Oneto, X Parra, JL Reyes-Ortiz
Ambient Assisted Living and Home Care: 4th International Workshop, IWAALá…, 2012
Transition-aware human activity recognition using smartphones
JL Reyes-Ortiz, L Oneto, A SamÓ, X Parra, D Anguita
Neurocomputing 171, 754-767, 2016
The'K'in K-fold Cross Validation.
D Anguita, L Ghelardoni, A Ghio, L Oneto, S Ridella
ESANN 102, 441-446, 2012
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
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
Energy efficient smartphone-based activity recognition using fixed-point arithmetic
D Anguita, A Ghio, L Oneto, FX Llanas Parra, JL Reyes Ortiz
Journal of universal computer science 19 (9), 1295-1314, 2013
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
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 ofá…, 2016
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
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
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
K-Fold Cross Validation for Error Rate Estimate in Support Vector Machines.
D Anguita, A Ghio, S Ridella, D Sterpi
DMIN, 291-297, 2009
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
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
Quantum optimization for training support vector machines
D Anguita, S Ridella, F Rivieccio, R Zunino
Neural Networks 16 (5-6), 763-770, 2003
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
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
Dynamic delay predictions for large-scale railway networks: Deep and shallow extreme learning machines tuned via thresholdout
L Oneto, E Fumeo, G Clerico, R Canepa, F Papa, C Dambra, N Mazzino, ...
IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (10), 2754-2767, 2017
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 applicationsá…, 2009
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