statistiche ricercatore

Nome	#
Dynamic Compensation of Nonlinear Sensors by a Learning-From-Examples Approach	91
Uncertainty-Aware Design Criteria for the Classification of Sensor Data	89
Model selection for power efficient analysis of measurement data	88
Estimating and controlling the uncertainty of learning machines	82
A Resource-Constrained Sensor Dynamic Compensation Using a Learning-from-Examples Approach	81
Uncertainty-Complexity Trade-Offs for Sensor Compensation Design	79
Accurate and Resource-Aware Classification Based on Measurement Data	78
Identification of weakly nonlinear systems based on Support Vector Machines	77
A Study on Uncertainty–Complexity Tradeoffs for Dynamic Nonlinear Sensor Compensation	56
SVMs for system identification: the linear case	50
Nonlinear system identification by means of SVMs: choice of excitation signals	48
Identification of Wiener-Hammerstein Systems by means of Support Vector Machines for Regression	42
Support Vector Machines for System Identification	39
SVMs for System Identification: The Linear Case	2
Totale	902

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2018/2019	75	0	0	0	0	0	0	0	0	0	0	42	33
2019/2020	245	16	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	52	2	10	2	2	4	21	6	3	1	1	0	0
Totale													902