Results 21 to 30 of about 4,621 (238)
Explainable human‐in‐the‐loop healthcare image information quality assessment and selection
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract Smart healthcare applications cannot be separated from healthcare data analysis and the interactive interpretability between data and model. A human‐in‐the‐loop active learning approach is introduced to reduce the cost of healthcare data labelling by evaluating the information quality of unlabelled medical data and then screening the high ...
Yang Li, Sezai Ercisli
wiley +1 more source
Modeling and parameter estimation for fractional large‐scale interconnected Hammerstein systems
Asian Journal of Control, EarlyView.Abstract This paper addresses the challenge of modeling and identifying large‐scale interconnected systems exhibiting memory effects, hereditary properties, and non‐local interactions. We propose a fractional‐order extension of the Hammerstein architecture that incorporates Grünwald–Letnikov operators to capture complex dynamics through multiple ...
Mourad Elloumi +2 more
wiley +1 more source
First-Order Methods for Stochastic Variational Inequality Problems with Function Constraints
Mathematics of Operations ResearchWe study monotone function-constrained variational inequalities (FCVIs) whose feasible region is the intersection of a projection-friendly set and several convex function constraints; both the operator and the constraint functions may be smooth, nonsmooth, and/or stochastic. Computing the projection operator is challenging for FCVIs.
Digvijay Boob, Qi Deng, Mohammad Khalafi
openaire +2 more sources
Current Trends and Future Research in Management Control for Sustainability in Retail
Business Strategy and the Environment, EarlyView.ABSTRACT The growing emphasis on sustainability in the retail sector, driven by regulatory frameworks, market trends and consumer demand, has placed management control at the forefront of facilitating sustainability practices. Despite increasing academic interest in this area, the literature is fragmented and provides limited sector‐specific insight ...
Miguel Gil, Mart Ots, Timur Uman
wiley +1 more source
Productivity and Emissions in Italian Agriculture: A Farm‐Level Efficiency Analysis
Business Strategy and the Environment, EarlyView.ABSTRACT Achieving the European Union climate‐neutrality objectives requires metrics that jointly assess farm productivity and greenhouse gas emissions at a granular level. However, harmonized evidence for benchmarking the productivity–emissions nexus of Italian farms remains limited.
Giulio Fusco +3 more
wiley +1 more source
Copula-based orderings of multivariate dependence [PDF]
In this paper I investigate the problem of defining a multivariate dependence ordering. First, I provide a characterization of the concordance dependence ordering between multivariate random vectors with fixed margins.
DECANCQ, Koen
core +3 more sources
Improving Point and Interval Estimates of Monotone Functions by Rearrangement [PDF]
, 2008 Suppose that a target function is monotonic, namely, weakly increasing, and an available original estimate of this target function is not weakly increasing.
Chernozhukov, Victor +2 more
core +6 more sources
Restricted Tweedie stochastic block models
Canadian Journal of Statistics, EarlyView.Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley +1 more source
A goodness‐of‐fit test for regression models with discrete outcomes
Canadian Journal of Statistics, EarlyView.Abstract Regression models are often used to analyze discrete outcomes, but classical goodness‐of‐fit tests such as those based on the deviance or Pearson's statistic can be misleading or have little power in this context. To address this issue, we propose a new test, inspired by the work of Czado et al.
Lu Yang +2 more
wiley +1 more source
Dynamic multi‐objective optimisation of complex networks based on evolutionary computation
IET Networks, EarlyView., 2022 Abstract As the problems concerning the number of information to be optimised is increasing, the optimisation level is getting higher, the target information is more diversified, and the algorithms are becoming more complex; the traditional algorithms such as particle swarm and differential evolution are far from being able to deal with this situation ...
Linfeng Huang
wiley +1 more source