Program Committee John Collins (University of Minnesota, USA) Shaheen Fatima (University of Loughborough, UK) Enrico Gerding (University of Southampton, UK) Maria Gini (University of Minnesota, USA) Amy Greenwald (Brown University, USA) Gordan Jezic (University of Zagreb, Croatia) Patrick R. Jordan (Microso, USA) Wolf Ketter (RSM Erasmus University, Netherlands) Christopher Kiekintveld (Univer...

Often times there is a need to infer the true underlying probability based on the observations, such as in, including but not limited to, data-mining, optimizing the process control parameters etc., Histograms, very rudimentary empirical density estimators, divide the whole data range into either equal or unequal sub intervals (bins) and then obtain the frequency of occurrence of each bin. They...

Abstract. A previous study by the authors illustrated distribution of naturally occurring radionuclides, i.e., potassium (K40), thorium (Th232), and uranium (U238), in sediment Berg River estuary. The also described Delta Underwater Gamma detection System (DUGS) its usage to measure concentrations these natural radionuclides. It proposed a novel radiometric mapping technique with QGIS and, more...

The accurate and reliable relative humidity (RH) prediction holds immense significance in effectively controlling the breeding cycle health optimizing egg production performance intensive poultry farming environments. However, current RH research mainly focuses on short-term point predictions, which cannot meet demand for control houses farming. To compensate this deficiency, a hybrid medium lo...

In distributed open-source software projects, participation of developers is largely by a voluntary basis. Programmers are not only free to join in or to leave the project, but they are also free to choose who they interact with, and how much they contribute to the project. In that sense, open-source project developers form a dynamic social network. This paper presents a measure to represent th...

DBpedia is a central hub of Linked Open Data (LOD). Being based on crowd-sourced contents and heuristic extraction methods, it is not free of errors. In this paper, we study the application of unsupervised numerical outlier detection methods to DBpedia, using Interquantile Range (IQR), Kernel Density Estimation (KDE), and various dispersion estimators, combined with different semantic grouping ...

In order to achieve a better understanding of FLOSS social structure, we need a definition of social position. From a theoretical perspective, we propose to think the participation as a trajectory. Empirically, we use optimal matching to build a typology of participation trajectories based on KDE email archives. We show how these trajectories structure the community as a whole by combining thes...

The paper presents the results of investigation applicability spatiotemporal kernel density estimation (KDE) methods for mapping violent crime in Lithuania. Spatiotemporal research helps to understand and control specific types crime, thereby contributing Sustainable Development Goals. target dataset contained 135,989 records events registered by police Lithuania from 2015–2018 that were classi...

The rectal tube (RT) is a common source of false positives (FPs) in computeraided detection (CAD) systems for CT colonography. In this paper, we present a novel and robust bottom-up approach to detect the RT. Probabilistic models, trained using kernel density estimation (KDE) on simple low-level features, are employed to rank and select the most likely RT tube candidate on each axial slice. The...

In this paper, we propose to improve trajectory shape analysis by explicitly considering the speed attribute of trajectory data, and to successfully achieve anomaly detection. The shape of object motion trajectory is modeled using Kernel Density Estimation (KDE), making use of both the angle attribute of the trajectory and the speed of the moving object. An unsupervised clustering algorithm, ba...