Table 9.

Performance of homogeneous echo target tasks using the proposed method and the baseline. Bold values indicate the best performance.

Method	Tuning Strategy	Target Task	Accuracy	F-score	MCC
	Independent	Classification (MV vs MA)	0.92	0.91	0.83
	Alternating	Classification (MV vs MA)	0.94	0.94	0.87
	Joint	Classification (MV vs MA)	0.95	0.95	0.89
	Independent	Classification (MV vs TR)	0.95	0.94	0.88
${\text{UMS-Rep}}_{echo}$	Alternating	Classification (MV vs TR)	0.96	0.96	0.91
	Joint	Classification (MV vs TR)	0.97	0.96	0.93
	Independent	Classification (MA vs TR)	0.97	0.96	0.92
	Alternating	Classification (MA vs TR)	0.98	0.96	0.93
	Joint	Classification (MA vs TR)	0.98	0.98	0.95
Baseline	Separate Model	Classification (MV vs MA)	0.91	0.91	0.81
	Separate Model	Classification (MV vs TR)	0.94	0.93	0.86
	Separate Model	Classification (MA vs TR)	0.98	0.96	0.93