Davide Anguita
Davide Anguita
DIBRIS - University of Genova, Italy
Email verificata su unige.it
TitoloCitata daAnno
A public domain dataset for human activity recognition using smartphones.
D Anguita, A Ghio, L Oneto, X Parra, JL Reyes-Ortiz
Esann, 2013
4992013
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
4732012
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
2332003
Transition-aware human activity recognition using smartphones
JL Reyes-Ortiz, L Oneto, A Samà, X Parra, D Anguita
Neurocomputing 171, 754-767, 2016
1912016
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
1312015
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
1162013
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
1092013
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
962012
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
752005
Hyperparameter design criteria for support vector classifiers
D Anguita, S Ridella, F Rivieccio, R Zunino
Neurocomputing 55 (1-2), 109-134, 2003
682003
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
672006
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
602009
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
552016
Circuital implementation of support vector machines
D Anguita, S Ridella, S Rovetta
Electronics Letters 34 (16), 1596-1597, 1998
531998
An efficient implementation of BP on RISC-based workstations
D Anguita, G Parodi, R Zunino
Neurocomputing 6 (1), 57-65, 1994
531994
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
512015
K-Fold Cross Validation for Error Rate Estimate in Support Vector Machines.
D Anguita, A Ghio, S Ridella, D Sterpi
DMIN, 291-297, 2009
502009
Evaluating the generalization ability of support vector machines through the bootstrap
D Anguita, A Boni, S Ridella
Neural Processing Letters 11 (1), 51-58, 2000
492000
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
482010
Optical wireless underwater communication for AUV: Preliminary simulation and experimental results
D Anguita, D Brizzolara, G Parodi, Q Hu
OCEANS 2011 IEEE-Spain, 1-5, 2011
472011
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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