Davide Anguita

Luca Ghelardoni, Alessandro Ghio, Davide Anguita: Energy Load Forecasting Using Empirical Mode Decomposition and Support Vector Regression. IEEE Trans. Smart Grid 4(1): 549-556 (2013)

Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella: In-sample Model Selection for Trimmed Hinge Loss Support Vector Machine. Neural Processing Letters 36(3): 275-283 (2012)

Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella: In-Sample and Out-of-Sample Model Selection and Error Estimation for Support Vector Machines. IEEE Trans. Neural Netw. Learning Syst. 23(9): 1390-1406 (2012)

Alessandro Ghio, Davide Anguita, Luca Oneto, Sandro Ridella, Carlotta Schatten: Nested Sequential Minimal Optimization for Support Vector Machines. ICANN (2) 2012: 156-163

Luca Oneto, Davide Anguita, Alessandro Ghio, Sandro Ridella: Rademacher Complexity and Structural Risk Minimization: An Application to Human Gene Expression Datasets. ICANN (2) 2012: 491-498

Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra, Jorge L. Reyes-Ortiz: Human Activity Recognition on Smartphones Using a Multiclass Hardware-Friendly Support Vector Machine. IWAAL 2012: 216-223

Davide Anguita, Alessandro Ghio, Sandro Ridella: Maximal Discrepancy for Support Vector Machines. Neurocomputing 74(9): 1436-1443 (2011)

Davide Anguita, Luca Carlino, Alessandro Ghio, Sandro Ridella: A FPGA Core Generator for Embedded Classification Systems. Journal of Circuits, Systems, and Computers 20(2): 263-282 (2011)

Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella: Maximal Discrepancy vs. Rademacher Complexity for error estimation. ESANN 2011

Davide Anguita, Luca Ghelardoni, Alessandro Ghio, Sandro Ridella: Test error bounds for classifiers: A survey of old and new results. FOCI 2011: 80-87

Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella: In-sample model selection for Support Vector Machines. IJCNN 2011: 1154-1161

Davide Anguita, Alessandro Ghio, Luca Oneto, Sandro Ridella: Selecting the hypothesis space for improving the generalization ability of Support Vector Machines. IJCNN 2011: 1169-1176

Luca Oneto, Davide Anguita, Alessandro Ghio, Sandro Ridella: The Impact of Unlabeled Patterns in Rademacher Complexity Theory for Kernel Classifiers. NIPS 2011: 585-593

Sergio Decherchi, Sandro Ridella, Rodolfo Zunino, Paolo Gastaldo, Davide Anguita: Using unsupervised analysis to constrain generalization bounds for support vector classifiers. IEEE Transactions on Neural Networks 21(3): 424-438 (2010)

Davide Anguita, Alessandro Ghio, Sandro Ridella: Maximal Discrepancy for Support Vector Machines. ESANN 2010

Davide Anguita, Alessandro Ghio, Noemi Greco, Luca Oneto, Sandro Ridella: Model selection for support vector machines: Advantages and disadvantages of the Machine Learning Theory. IJCNN 2010: 1-8

Bogdan Gabrys, Davide Anguita: Nature-inspired learning and adaptive systems. Natural Computing 8(2): 197-198 (2009)

Davide Anguita, Alessandro Ghio, Sandro Ridella, Dario Sterpi: K-Fold Cross Validation for Error Rate Estimate in Support Vector Machines. DMIN 2009: 291-297

Cecilio Angulo, Davide Anguita, Luis González Abril, Juan Antonio Ortega: Support vector machines for interval discriminant analysis. Neurocomputing 71(7-9): 1220-1229 (2008)

Davide Anguita, Alessandro Ghio, Stefano Pischiutta, Sandro Ridella: A support vector machine with integer parameters. Neurocomputing 72(1-3): 480-489 (2008)

Enrique Alba, Davide Anguita, Alessandro Ghio, Sandro Ridella: Using Variable Neighborhood Search to improve the Support Vector Machine performance in embedded automotive applications. IJCNN 2008: 984-988

Davide Anguita, Alessandro Ghio, Stefano Pischiutta: A learning machine for resource-limited adaptive hardware. AHS 2007: 571-576

Cecilio Angulo, Davide Anguita, Luis González Abril: Interval discriminant analysis using support vector machines. ESANN 2007: 223-228

Davide Anguita, Alessandro Ghio, Stefano Pischiutta, Sandro Ridella: A Hardware-friendly Support Vector Machine for Embedded Automotive Applications. IJCNN 2007: 1360-1364

Davide Anguita, Stefano Pischiutta, Sandro Ridella, Dario Sterpi: Feed-Forward Support Vector Machine Without Multipliers. IEEE Transactions on Neural Networks 17(5): 1328-1331 (2006)

Davide Anguita, Sandro Ridella, Dario Sterpi: Testing the Augmented Binary Multiclass SVM on Microarray Data. IJCNN 2006: 1966-1968

Davide Anguita, Dario Sterpi: Nature Inspiration for Support Vector Machines. KES (2) 2006: 442-449

Davide Anguita, Arianna Poggi, Fabio Rivieccio, Anna Marina Scapolla: Data Mining Tools: From Web to Grid Architectures. EGC 2005: 620-629

Davide Anguita, Iluminada Baturone, Julian Francis Miller: Special issue on hardware implementations of soft computing techniques. Appl. Soft Comput. 4(3): 204-205 (2004)

Davide Anguita, Sandro Ridella, Fabio Rivieccio: An Algorithm for Reducing the Number of Support Vectors. WIRN 2004: 99-105

Davide Anguita, Sandro Ridella, Fabio Rivieccio, Rodolfo Zunino: Hyperparameter design criteria for support vector classifiers. Neurocomputing 55(1-2): 109-134 (2003)

Davide Anguita, Andrea Boni: Neural network learning for analog VLSI implementations of support vector machines: a survey. Neurocomputing 55(1-2): 265-283 (2003)

Davide Anguita, Sandro Ridella, Fabio Rivieccio, Rodolfo Zunino: Quantum optimization for training support vector machines. Neural Networks 16(5-6): 763-770 (2003)

Davide Anguita, Andrea Boni: Digital Least Squares Support Vector Machines. Neural Processing Letters 18(1): 65-72 (2003)

Davide Anguita, Andrea Boni, Sandro Ridella: A digital architecture for support vector machines: theory, algorithm, and FPGA implementation. IEEE Transactions on Neural Networks 14(5): 993-1009 (2003)

Davide Anguita, Andrea Boni, L. Tagliafico: SVM performance assessment for the control of injection moulding processes and plasticating extrusion. Int. J. Systems Science 33(9): 723-735 (2002)

Davide Anguita, Andrea Boni: Improved neural network for SVM learning. IEEE Transactions on Neural Networks 13(5): 1243-1244 (2002)

Davide Anguita, Matteo Gagliolo: MDL Based Model Selection for Relevance Vector Regression. ICANN 2002: 468-473

Davide Anguita, Sandro Ridella, Fabio Rivieccio, Rodolfo Zunino: Automatic Hyperparameter Tuning for Support Vector Machines. ICANN 2002: 1345-1350

Davide Anguita, Maurizio Valle: Perspectives on dedicated hardware implementations. ESANN 2001: 45-56

Davide Anguita, Andrea Boni, Sandro Ridella: Digital VLSI Algorithms and Architectures for Support Vector Machines. Int. J. Neural Syst. 10(3): 159-170 (2000)

Davide Anguita, Andrea Boni, Giancarlo Parodi: A case study of a distributed high-performance computing system for neurocomputing. Journal of Systems Architecture 46(5): 429-438 (2000)

Davide Anguita, Andrea Boni, Sandro Ridella: Evaluating the Generalization Ability of Support Vector Machines through the Bootstrap. Neural Processing Letters 11(1): 51-58 (2000)

Davide Anguita, Andrea Boni, Stefano Pace: Fast Training of Support Vector Machines for Regression. IJCNN (5) 2000: 210-216

Davide Anguita, Sandro Ridella, Stefano Rovetta: Worst case analysis of weight inaccuracy effects in multilayer perceptrons. IEEE Transactions on Neural Networks 10(2): 415-418 (1999)

Davide Anguita, Andrea Boni, Sandro Ridella: Support Vector Machines: A Comparison of Some Kernel Functions. IIA/SOCO 1999

Davide Anguita, Andrea Boni, Marco Chirico, Fabrizio Giudici, Anna Marina Scapolla, Giancarlo Parodi: High Performance Neurocomputing: Industrial and Medical Applications of the RAIN System. HPCN Europe 1998: 34-43

Davide Anguita, Marco Chirico, Anna Marina Scapolla, Giancarlo Parodi: RAIN: Redundant Array of Inexpensive workstations for Neurocomputing. Euro-Par 1997: 1340-1345

Davide Anguita, Benedict A. Gomes: Mixing floating- and fixed-point formats for neural network learning on neuroprocessors. Microprocessing and Microprogramming 41(10): 757-769 (1996)

Davide Anguita, Giancarlo Parodi, Rodolfo Zunino: Neural structures for visual motion tracking. Mach. Vis. Appl. 8(5): 275-288 (1995)

Davide Anguita, Vito Di Gesù, Gaetano Gerardi, Biagio Lenzitti, Domenico Tegolo: A heterogeneous and reconfigurable machine-vision system. Mach. Vis. Appl. 8(5): 343-350 (1995)

Davide Anguita, Filippo Passaggio, Rodolfo Zunino: Learning in large neural networks. HPCN Europe 1995: 269-274

Jean-Marc Adamo, Davide Anguita: Object Oriented Design of a Simulator for Large BP Neural Networks. IWANN 1995: 642-649

Davide Anguita, Giancarlo Parodi, Rodolfo Zunino: An efficient implementation of BP on RISC-based workstations. Neurocomputing 6(1): 57-65 (1994)

Davide Anguita, Giancarlo Parodi, Domenico Ponta, Rodolfo Zunino: Transputer-based architectures for associative image classification. SPDP 1991: 241-248