全部文献期刊学位论文会议报纸专利标准年鉴图书|学者科研项目
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作者:Harris Papadopoulos , Efthyvoulos Kyriacou , Andrew Nicolaides
来源:[J].Neural Computing and Applications(IF 1.168), 2017, Vol.28 (6), pp.1209-1223Springer
摘要:We propose an approach for providing well-calibrated confidence measures for determining cerebrovascular risk stratification based on characteristics from noninvasive ultrasound imaging of carotid plaques. An important challenge we address is the class imbalance problem inherent ...
作者:Harris Papadopoulos , Nestoras Georgiou ...
来源:[J].Neurocomputing(IF 1.634), 2018, Vol.280, pp.3-12Elsevier
摘要:Abstract(#br)The impressive growth of smartphone devices in combination with the rising ubiquity of using mobile platforms for sensitive applications such as Internet banking, have triggered a rapid increase in mobile malware. In recent literature, many studies examine Machine Le...
作者:... Ladislav Lenc , Pavel Král , Harris Papadopoulos
来源:[J].Machine Learning(IF 1.467), 2019, Vol.108 (3), pp.511-534Springer
摘要:Abstract(#br)Automatic face recognition (AFR) has gained the attention of many institutes and researchers in the past two decades due to its wide range of applications. This attention resulted in the development of a variety of techniques for the particular task with a high recog...
作者:Harris Papadopoulos , George Anastassopoulos
来源:[J].Information Sciences(IF 3.643), 2015, Vol.308, pp.113-124Elsevier
摘要:Abstract(#br)Vesicoureteral Reflux (VUR) is a pediatric disorder in which urine flows backwards from the bladder to the upper urinary tract. Its detection is of great importance as it increases the risk of a Urinary Tract Infection, which can then lead to a kidney infection since...
作者:Antonis Lambrou , Ilia Nouretdinov , Harris Papadopoulos
来源:[J].Annals of Mathematics and Artificial Intelligence(IF 0.2), 2015, Vol.74 (1-2), pp.181-201Springer
摘要:Abstract(#br)Venn Predictors (VPs) are machine learning algorithms that can provide well calibrated multiprobability outputs for their predictions. An important drawback of Venn Predictors is their computational inefficiency, especially in the case of large datasets. In this work...
作者:Harris Papadopoulos
来源:[J].Neurocomputing(IF 1.634), 2013, Vol.107, pp.59-68Elsevier
摘要:Abstract(#br)Venn Prediction (VP) is a new machine learning framework for producing well-calibrated probabilistic predictions. In particular it provides well-calibrated lower and upper bounds for the conditional probability of an example belonging to each possible class of the pr...
作者:Harris Papadopoulos , Haris Haralambous
来源:[J].Neural Networks(IF 1.927), 2011, Vol.24 (8), pp.842-851Elsevier
摘要:Abstract(#br)This paper proposes an extension to conventional regression neural networks (NNs) for replacing the point predictions they produce with prediction intervals that satisfy a required level of confidence. Our approach follows a novel machine learning framework, called C...

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