statistiche ricercatore

Nome	#
Dynamic Compensation of Nonlinear Sensors by a Learning-From-Examples Approach	92
Uncertainty-Aware Design Criteria for the Classification of Sensor Data	90
Model selection for power efficient analysis of measurement data	89
Estimating and controlling the uncertainty of learning machines	84
A Resource-Constrained Sensor Dynamic Compensation Using a Learning-from-Examples Approach	83
Uncertainty-Complexity Trade-Offs for Sensor Compensation Design	79
Accurate and Resource-Aware Classification Based on Measurement Data	79
Identification of weakly nonlinear systems based on Support Vector Machines	78
A Study on Uncertainty–Complexity Tradeoffs for Dynamic Nonlinear Sensor Compensation	56
SVMs for system identification: the linear case	52
Nonlinear system identification by means of SVMs: choice of excitation signals	49
Identification of Wiener-Hammerstein Systems by means of Support Vector Machines for Regression	43
Support Vector Machines for System Identification	40
SVMs for System Identification: The Linear Case	3
Totale	917

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2019/2020	229	0	8	21	21	27	19	38	22	33	17	2	21
2020/2021	169	1	31	1	32	12	7	22	8	14	12	18	11
2021/2022	97	3	37	0	0	1	2	7	5	3	9	12	18
2022/2023	187	29	21	0	22	17	30	0	15	35	3	10	5
2023/2024	64	2	10	2	2	4	21	6	3	1	1	3	9
2024/2025	3	1	2	0	0	0	0	0	0	0	0	0	0
Totale													917