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171篇 您的检索式:作者名="RATI"
    题名 作者 年代 出处 被引量
1Clustering Structure Analysis in Time-Series Data With Density-Based Clusterability Measure显示文摘Clustering is used to gain an intuition of the struc tures in the data.Most of the current clustering algorithms pro duce a clustering structure even on data that do not possess such structure.In these cases,the algorithms force a structure in the data instead of discovering one.To avoid false structures in the relations of data,a novel clusterability assessment method called density-based clusterability measure is proposed in this paper.I measures the prominence of clustering structure in the data to evaluate whether a cluster analysis could produce a meaningfu insight to the relationships in the data.This is especially useful in time-series data since visualizing the structure in time-series data is hard.The performance of the clusterability measure is evalu ated against several synthetic data sets and time-series data sets which illustrate that the density-based clusterability measure can successfully indicate clustering structure of time-series data.Juho Jokinen Tomi Raty Timo Lintonen 2019IEEE/CAA Journal of Automatica Sinica2019,6,6:6
2Self-Learning of Multivariate Time Series Using Perceptually Important Points显示文摘In machine learning,positive-unlabelled(PU)learning is a special case within semi-supervised learning.In positiveunlabelled learning,the training set contains some positive examples and a set of unlabelled examples from both the positive and negative classes.Positive-unlabelled learning has gained attention in many domains,especially in time-series data,in which the obtainment of labelled data is challenging.Examples which originate from the negative class are especially difficult to acquire.Self-learning is a semi-supervised method capable of PU learning in time-series data.In the self-learning approach,observations are individually added from the unlabelled data into the positive class until a stopping criterion is reached.The model is retrained after each addition with the existent labels.The main problem in self-learning is to know when to stop the learning.There are multiple,different stopping criteria in the literature,but they tend to be inaccurate or challenging to apply.This publication proposes a novel stopping criterion,which is called Peak evaluation using perceptually important points,to address this problem for time-series data.Peak evaluation using perceptually important points is exceptional,as it does not have tunable hyperparameters,which makes it easily applicable to an unsupervised setting.Simultaneously,it is flexible as it does not make any assumptions on the balance of the dataset between the positive and the negative class.Timo Lintonen Tomi Raty 2019IEEE/CAA Journal of Automatica Sinica2019,6,6:2
3eDNA, from Herea brasiliensis latex ,encoding 1-deoxy-D- xyhdoseS- phosphate reduetoisomerase 显示文摘YOONRAM K TAKAHASHI S RATI?ANAPITrAYAPORN A 2008Plant Science2008,175,:1
4Growth of Carbon Nanotubes on Metal Nanoparticles: A Microscopic Mechanism from Ab Initio Molecular Dynamics Simulations显示文摘Raty J Y Gygi F Galli G 2005Phys Rev Lett2005,95,:1
5Government size and economic growth: A new framework and some evidence from cross-section and time-series data显示文摘Ram Rati 1986Amercian Economic Review1986,76,:1
6Resection of the head of the pancreas in Finland: effect s of hospital and surgeon on short-term and long-term results显示文摘Nordback L Parviainen M Raty S 2002Scand J Gastroenterol2002,37,12:1
7Behaviour of Aspergillus flavus in presence oF Aspergillus niger during biosynthesis o4 aflatoxin B1 显示文摘Shantha T Rati ER Shankar TNB 1990Antonie van Leeuwenhoek1990,58,2:1
8Contribution of vegetation and water table on isoprene emission from boreal peatlandmicrocosms显示文摘Tiiva P Faubert P Raty S 2009Atmospheric Environment2009,43,34:1
9Long-term outcome of intensive chemotherapy for adults with de novo acute myeloid leukaemia(AML):the nationwide AML-92 study by the Finnish Leukaemia Group显示文摘Koistinen P Raty RtItala M 2007Eur J Haematol2007,78,6:1
10Structural characterization and protective effect against murine sepsis of fucogalactans from Agaricus bisporus and Lactarius ru- fus 显示文摘RUTHES A C RATI'MANN Y D CARBONERO E R 2012Carbohydrate Polymers2012,87,2:1
11Antisense oligonucleotides targeted to the human alpha folate receptor inhibit breast cancer cell growth and sensitize the cells to doxorubicin treatment 显示文摘Jhaveri M S Rati A S Chung K N 2004Mol Cancer Ther2004,3,12:1
12Comparasion between percutaneous balloon valvuloplasty and open commisurotomy for mitral stenosis显示文摘 Rati Pomerantzeff PM 1998Arq Bras Cardiol1998,70,:1
13Amorphous structure and electronic properties of the GelSb2Te4phase change material 显示文摘Raty Jean-Yves Otjacques C61ine Gaspard Jean- Pierre 2010Solid State Science2010,12,2:1
14Long-term outcome of inten- sive chemotherapy for adults with de novo acute myeloid leukae- mia (AML) :the nationwide AML-92 study by the Finnish Leu- kaemia Group显示文摘Koistintn P Raty R Itala M 2007Eur J HaeInatol2007,78,:1
15Government Size and Economic Growth : A New Framework and Some Evidence from Cross - section and Timeseries Data显示文摘Ram Rati 1986The American Economic Review1986,76,19:1
16Parents'pcrceptions of Their Children's Schools: Findings Form a Five-year Longitudinal Study显示文摘Raty H Kasanen K 2007Educational Studies2007,33,3:1
17On the potential to predetermine dominant tree species based on sparse-density airborne laser scanning data for improving subsequent predictions of species-specific timber volumes显示文摘Background:Tree species recognition is the main bottleneck in remote sensing based inventories aiming to produce an input for species-specific growth and yield models.We hypothesized that a stratification of the target data according to the dominant species could improve the subsequent predictions of species-specific attributes in particular in study areas strongly dominated by certain species.Methods:We tested this hypothesis and an operational potential to improve the predictions of timber volumes,stratified to Scots pine,Norway spruce and deciduous trees,in a conifer forest dominated by the pine species.We derived predictor features from airborne laser scanning(ALS) data and used Most Similar Neighbor(MSN) and Seemingly Unrelated Regression(SUR) as examples of non-parametric and parametric prediction methods,respectively.Results:The relationships between the ALS features and the volumes of the aforementioned species were considerably different depending on the dominant species.Incorporating the observed dominant species inthe predictions improved the root mean squared errors by 13.3-16.4%and 12.6-28.9%based on MSN and SUR,respectively,depending on the species.Predicting the dominant species based on a linear discriminant analysis had an overall accuracy of only 76%at best,which degraded the accuracies of the predicted volumes.Consequently,the predictions that did not consider the dominant species were more accurate than those refined with the predicted species.The MSN method gave slightly better results than models fitted with SUR.Conclusions:According to our results,incorporating information on the dominant species has a clear potential to improve the subsequent predictions of species-specific forest attributes.Determining the dominant species based solely on ALS data is deemed challenging,but important in particular in areas where the species composition is otherwise seemingly homogeneous except being dominated by certain species.Janne Raty Jari Vauhkonen Matti Maltamo Timo Tokola 2016Forest Ecosystems2016,3,2:1
18Government Sixe and Economic Growth:A New Framework and Some Evidence from Cross-Section and Time-Series Data显示文摘Ram Rati 1986American Economic Revrieu1986,76,:1
19Government Spending and Happiness of the Population: Additional Evidence from Large Cross-Country Samples 显示文摘Rati Ram 2009Public Choice2009,138,3:1
20(1990):'Educational Expansion and Schooling Inequality:international evidence and some implications'显示文摘Ram Rati 1990The Review of Economics and Statistics1990,2,:1
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