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Chapter and Conference Paper
Applying Combinatorial Testing to Verification-Based Fairness Testing
Fairness testing, given a machine learning classifier, detects discriminatory data contained in it via executing test cases. In this paper, we propose a new approach to fairness testing named Vbt-Ct, which applie...
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Chapter and Conference Paper
Efficient Fairness Testing Through Hash-Based Sampling
There is a growing concern on algorithm fairness, according to wider adoption of machine learning techniques in our daily life. Testing of individual fairness is an approach to algorithm fairness concern. Veri...
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Article
Image decomposition based on the adaptive direction total variation and \(\mathbb {G}\) -norm regularization
To improve the decomposition quality, it is very important to describe the local structure of the image in the proposed model. This fact motivates us to improve the Meyer’s decomposition model via coupling one...
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Chapter and Conference Paper
Stability of Complex-Valued Neural Networks with Two Additive Time-Varying Delay Components
In this paper, a class of complex-valued neural networks including two additive time-varying delay components has been discussed. By making use of the combinational Lyapunov-Krasovskii functional and free weig...
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Chapter and Conference Paper
Stability of Complex-Valued Cohen-Grossberg Neural Networks with Time-Varying Delays
In this paper, the complex-valued Cohen-Grossberg neural networks model with time-varying delays is considered. By employing the idea of vector Lyapunov function, M-matrix theory and inequality technique, a ne...
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Article
Cluster, local and complete synchronization in coupled neural networks with mixed delays and nonlinear coupling
In this paper, synchronization analysis is investigated for an array of hybrid coupled neural networks with discrete time-varying delays, distributed time-varying delays and nonlinear coupling. By utilizing a ...
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Chapter and Conference Paper
Passivity Criterion of Stochastic T-S Fuzzy Systems with Time-Varying Delays
In this paper, the passivity for stochastic Takagi-Sugeno (T-S) fuzzy systems with time-varying delays is investigated without assuming the differentiability of the time-varying delays. By utilizing the Lyapun...
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Chapter and Conference Paper
Global Dissipativity of Neural Networks with Time-Varying Delay and Leakage Delay
In this paper, the problem on global dissipativity is investigated for neural networks with time-varying delays and leakage delay as well as generalized activation functions. By constructing appropriate Lyapun...
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Chapter and Conference Paper
Global Exponential Stability of Recurrent Neural Networks with Infinite Time-Varying Delays and Reaction-Diffusion Terms
The global exponential stability is discussed for a general class of recurrent neural networks with infinite time-varying delays and reaction-diffusion terms. Several new sufficient conditions are obtained to ...