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International Journal of digital Earth 2023年第1期16卷 1707-1724页

作者： dávid Abriha Szilárd Szabó department of Physical Geography and Geoinformatics Faculty of Science and TechnologyUniversity of DebrecenDebrecenHungary

Building extraction from remote sensing data is an important topic in urban studies and the deep learning methods have an increasing role due to their minimal requirements in training data to reach outstanding *** aimed to investigate the original U-Net architecture’s efficiency in building segmentation with different number of training images and the role of data augmentation based on multisource remote sensing data with varying spatial and spectral resolutions(WorldView-2[WV2],WorldView-3[WV3]images and an aerial orthophoto[ORTHO]).When the trainings and predictions were conducted on the same image,U-Net provided good results with very few training images(validation accuracies:94-97%;192 images).Combining the ORTHO’s and WV2’s training data for prediction on WV3 provided poor results with low F1-score(0.184).However,the inclusion of only 48 WV3 training images significantly improved the F1-score(0.693),thus,most buildings were correctly ***,using only independent reference data(other than the target image)is not enough to train an accurate *** our case,the reference from WW2 and ORTHO images did not provide an acceptable basis to train a good model,but a minimal number of training images from the targeted WV3 improved the accuracy(F1-score:69%).

关键词： Building segmentation U-Net remote sensing urban analysis

Hyperactive learning for data-driven interatomic potentials

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npj Computational Materials 2023年第1期9卷 599-612页

作者： Cas van der Oord Matthias Sachs dávid Péter Kovács Christoph Ortner Gábor Csányi University of Cambridge Cambridge CB21PZUK University of Birmingham Birmingham B152TTUK University of British Columbia VancouverBC V6T 1Z2Canada

data-driven interatomic potentials have emerged as a powerful tool for approximating ab initio potential energy *** most time-consuming step in creating these interatomic potentials is typically the generation of a suitable training *** aid this process hyperactive learning(HAL),an accelerated active learning scheme,is presented as a method for rapid automated training database *** adds a biasing term to a physically motivated sampler(*** dynamics)driving atomic structures towards uncertainty in turn generating unseen or valuable training *** proposed HAL framework is used to develop atomic cluster expansion(ACE)interatomic potentials for the AlSi10 alloy and polyethylene glycol(PEG)polymer starting from roughly a dozen initial *** HAL generated ACE potentials are shown to be able to determine macroscopic properties,such as melting temperature and density,with close to experimental accuracy.

关键词： starting generating consuming

Landslide inventory validation and susceptibility mapping in the Gerecse Hills, Hungary

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Geo-Spatial Information Science 2021年第3期24卷 498-508页

作者： dávid Gerzsenyi Gáspár Albert department of Cartography and Geoinformatics Eötvös Loránd UniversityBudapestHungary

Landslides pose a threat to property both in the populated and cultivated areas of the Gerecse Hills (Hungary). The currently available landslide inventory database holds the records from many sites in the area, but the database is out-of-date. Here we address the problem of revising the National Landslides Cadastre landslide inventory database by creating a landslide suscept-ibility map with a multivariate model based on likelihood ratio functions. The model is applied to the TandEM-X dEM (0.4″ res.), the current landslide inventory of the area, and data acquired from geological maps. By comparing the distributions of four variables in the landslide and non-landslide area with grid computation methods, the model yields landslide susceptibility estimates for the study area. The estimations show to what extent a certain area is similar to the sample areas, therefore, its likelihood to be affected by landslides in the future. The accuracy of the model predictions was checked in the field and compared to the results of our previous study using the SRTM-1 dEM for a similar analysis. The model gave accurate estimates when certain correction measures were applied to the input datasets. The limitations of the model, the input datasets, and the suggested correction measures are also discussed.

关键词： Landslide susceptibility landslide inventory TandEM-X Gerecse Hills landslides geomorphometry

default or profit scoring credit systems?Evidence from European and US peer-to-peer lending markets

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Financial Innovation 2022年第1期8卷 954-974页

作者： Štefan Lyócsa Petra Vašaničová Branka Hadji Misheva Marko dávid Vateha Faculty of Management and Business University of PrešovPrešovSlovak Republic Institute of Economic Research Slovak Academy of SciencesBratislavaSlovak Republic ZHAW School of Engineering WinterthurSwitzerland depart-ment of Banking and International Finance Faculty of National EconomyUniversity of Economics in BratislavaBratislavaSlovak Republic Faculty of Economics and Administration Masaryk UniversityLipová507/41a60200 BrnoCzech Republic

For the emerging peer-to-peer(P2P)lending markets to survive,they need to employ credit-risk management practices such that an investor base is profitable in the long ***,credit-risk management relies on credit scoring that predicts loans’probability of *** this paper,we use a profit scoring approach that is based on modeling the annualized adjusted internal rate of returns of *** validate our profit scoring models with traditional credit scoring models,we use data from a European P2P lending market,Bondora,and also a random sample of loans from the Lending Club P2P lending *** compare the out-of-sample accuracy and profitability of the credit and profit scoring models within several classes of statistical and machine learning models including the following:logistic and linear regression,lasso,ridge,elastic net,random forest,and neural *** found that our approach outperforms standard credit scoring models for Lending Club and Bondora *** specifically,as opposed to credit scoring models,returns across all loans are 24.0%(Bondora)and 15.5%(Lending Club)higher,whereas accuracy is 6.7%(Bondora)and 3.1%(Lending Club)higher for the proposed profit scoring ***,our results are not driven by manual selection as profit scoring models suggest investing in more ***,even if we consider data sampling bias,we found that the set of superior models consists almost exclusively of profit scoring ***,our results contribute to the literature by suggesting a paradigm shift in modeling credit-risk in the P2P market to prefer profit as opposed to credit-risk scoring models.

关键词： Profit scoring Credit scoring Financial intermediation P2P Fintech

Joins of 1-Planar Graphs

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Acta Mathematica Sinica,English Series 2014年第11期30卷 1867-1876页

作者： Július CZAP dvid HUdK Tom MAdARAS department of Applied Mathematics and Business Informatics Faculty of Economics Technical University of KoiceNěmcovej 32040 01 KoiceSlovakia VSL Software a.s.Lomen 8040 01 KoiceSlovakia Institute of Mathematics Faculty of SciencePavol Jozef afrik University Jesenn 5040 01 KoiceSlovakia

A graph is called 1-planar if it admits a drawing in the plane such that each edge is crossed at most *** this paper,we study 1-planar graph *** prove that the join G ＋ H is 1-planar if and only if the pair [G,H] is subgraph-majorized by one of pairs [C3 ∪ C3,C3],[C4,C4],[C4,C3],[K2,1,1,P3] in the case when both elements of the graph join have at least three *** one element has at most two vertices,then we give several necessary/sufficient conditions for the bigger element.

关键词： 1-Planar graph join product

Network meta-analysis of randomized controlled trials on esophagectomies in esophageal cancer:The superiority of minimally invasive surgery

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World Journal of Gastroenterology 2022年第30期28卷 4201-4210页

作者： Lajos Szakó dávid Németh Nelli Farkas Szabolcs Kiss Réka Zsuzsa domotor Marie Anne Engh Péter Hegyi Balint Eross András Papp Institute of Translational Medicine University of PécsMedical SchoolPécs 7624Hungary János Szentágothai Research Centre University of PécsMedical SchoolPécs 7624Hungary Institute for Translational Medicine University of PécsMedical SchoolPécs 7624Hungary of Bioanalysis University of PécsMedical SchoolPécs 7624Hungary Insittute of Translational Medicine University of PécsMedical SchoolPécs 7624Hungary doctoral School of Clinical Medicine University of SzegedMedical SchoolSzeged 6720Hungary First department of Medicine University of SzegedMedical SchoolSzeged 6725Hungary Institute of Translational Medicine University of PecsMedical SchoolPecs 7624Hungary department of Surgery Clinical CenterUniversity of PécsMedical SchoolPécs 7624Hungary

BACKGROUNd Previous meta-analyses,with many limitations,have described the beneficial nature of minimal invasive *** To compare all modalities of esophagectomies to each other from the results of randomized controlled trials(RCTs)in a network meta-analysis(NMA).METHOdS We conducted a systematic search of the MEdLINE,EMBASE,Reference Citation Analysis(https://***/)and CENTRAL databases to identify RCTs according to the following population,intervention,control,outcome(commonly known as PICO):P:Patients with resectable esophageal cancer;I/C:Transthoracic,transhiatal,minimally invasive(thoracolaparoscopic),hybrid,and robot-assisted esophagectomy;O:Survival,total adverse events,adverse events in subgroups,length of hospital stay,and blood *** used the Bayesian approach and the random effects *** presented the geometry of the network,results with probabilistic statements,estimated intervention effects and their 95% confidence interval(CI),and the surface under the cumulative ranking curve to rank the *** We included 11 studies in our *** found a significant difference in postoperative pulmonary infection,which favored the minimally invasive intervention compared to transthoracic surgery(risk ratio 0.49;95%CI:0.23 to 0.99).The operation time was significantly shorter for the transhiatal approach compared to transthoracic surgery(mean difference-85 min;95%CI:-150 to-29),hybrid intervention(mean difference-98 min;95%CI:-190 to-9.4),minimally invasive technique(mean difference-130 min;95%CI:-210 to-50),and robot-assisted esophagectomy(mean difference-150 min;95%CI:-240 to-53).Other comparisons did not yield significant *** Based on our results,the implication of minimally invasive esophagectomy should be favored.

关键词： Surgery Esophageal cancer Esophagectomy Network meta-analysis Minimally invasive Laparoscopy

deductive way of reasoning about the internet AS level topology

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Chinese Physics B 2015年第11期24卷 633-642页

作者： dávid Szabó Attila Korsi József Bíró András Gulyás High Speed Networks Laboratory Budapest University of Technology and Economics MTA-BME Information Systems Research Group Budapest University of Technology and Economics MTA-BME Future Internet Research Group Budapest University of Technology and Economics

Our current understanding about the AS level topology of the Internet is based on measurements and inductive-type models which set up rules describing the behavior （node and edge dynamics） of the individual ASes and generalize the consequences of these individual actions for the complete AS ecosystem using induction. In this paper we suggest a third, deductive approach in which we have premises for the whole AS system and the consequences of these premises are determined through deductive reasoning. We show that such a deductive approach can give complementary insights into the topological properties of the AS graph. While inductive models can mostly reflect high level statistics （e.g., degree distribution, clustering, diameter）, deductive reasoning can identify omnipresent subgraphs and peering likelihood. We also propose a model, called YEAS, incorporating our deductive analytical findings that produces topologies contain both traditional and novel metrics for the AS level Internet.

关键词： internet topology complex network analysis model

The Effect of Speech Fragmentation and Audio Encodings on Automatic Parkinson’s disease Recognition

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Journal of Biomedical Science and Engineering 2022年第1期15卷 6-25页

作者： dávid Sztahó Attila Zoltán Jenei István Valálik Klára Vicsi department of Telecommunications and Media Informatics Budapest University of Technology and Economics Budapest Hungary department of Neurosurgery St. John’s Hospital Budapest Hungary

Parkinson’s disease is a neurological disease which is incurable according to current clinical knowledge. Therefore, early detection and provision of appropriate treatment are of primary importance. Speech is one of the biomarkers that enable the detection of Parkinson’s disease affection. Numerous researches are based on recordings from controlled environments;nonetheless fewer apply real circumstances. In the present study, three objectives were examined: recording fragmentation (paragraph, sentences, time-based), variable encodings (Pulse-Code Modulation [PCM], GSM-Full Rate [FR], G.723.1) and majority voting on 8 kHz records using multiple classifiers. Support Vector Machine (SVM), Long Short-Term Memory (LSTM), i-vector and x-vector classifiers were evaluated in contrast with SVM as baseline. The highest results in accuracy and F1-score were achieved using i-vector models. Although variable encodings generally caused decrease in Parkinson-disease recognition, decline was within 2% - 3% at best. Moreover, fragmentation did not yield a clear outcome though some classifiers performed with the very similar efficiency along the differently fragmented sets. Majority voting did produce a slight increase in classification performance compared to as if no aggregation is used.

关键词： Parkinson’s disease Speech Support Vector Machine Neural Network i-Vector x-Vector

Simplified Penman-Monteith Equation determined by Temperature-Based Global Radiation data and Its Multilocal Validation under Subhumid Climatic Conditions in Hungary

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Atmospheric and Climate Sciences 2023年第4期13卷 455-465页

作者： Zoltán Varga-Haszonits Éva Szalka dávid Vasas Zsolt Giczi Pál Szakál Tamás Szakál Albert Casimir Faculty at Mosonmagyaróvár Széchenyi István University of Gy&#337r Gy&#337r Hungary

The extent to which specific climatic factors influence evapotranspiration under subhumid conditions in Hungary was investigated. The reference evapotranspiration, calculated with the internationally accepted Penman-Monteith equation proposed by FAO, was considered. The results show that the influence of radiation, which provides energy for evaporation, is the strongest factor and that the influence of global radiation alone is very strong. Taking into account that radiation was measured under rather limited conditions in space and time, global radiation was calculated using the Hargreaves method based on temperature. Accordingly, we have defined a formula based on temperature-based global radiation and verified the data obtained with the Penman-Monteith formula calculated for 14 meteorological stations. The verification gave good results, therefore the method can be used for practical purposes in the subhumid conditions of Hungary based on the data of the nearest meteorological station.

关键词： Effecting Factors Sensitivity Analysis Global Radiation Multilocal Validation Estimation Error

Female answer specificity to male drumming calls in three closely related species of the stonefly genus Zwicknia (Plecoptera: Capniidae)

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Insect Science 2021年第1期28卷 215-223页

作者： Kirill Mark Orci david Muranyi MTA-ELTE-MTM Ecology Research Group Hungarian Academy of SciencesEotvos Lorand University and the Hungarian Natural History MuseumBudapestHungary department of Zoology Eszterhazy Karoly UniversityEgerHungary department of Zoology Hungarian Natural History MuseumBudapestHungary

This study examines the rate of female answers to conspecific versus heterospecific male vibratory calls in three,closely related stonefly species:Zwicknia bifrons,***,and *** a previous study those three species were recognized on the basis of their distinct male drumming calls along with differences in genital morphology and genetic *** this study no-choice playback experiments using original male call samples from each species were performed,and the answer rate of females to con・specific and heterospecific signal variants was *** effect logistic regression models were used to test if male call species identity had a statistically significant effect on female answer *** answered conspecific male calls with significantly higher probability than heterospecific calls in all the three examined species,suggesting that the divergence of vibrational communication can be an important component of the prezygotic isolation between ***,but well detectable responsiveness to heterospecific calls was observable between *** and ***,the two species closest to each other regarding mitochondrial genetic divergence and male call pattern ***,our results are most congruent with a tight,gradual coevolution of male calls and female preferences.

关键词： biotremology drumming call Plecoptera reproductive isolation species recognition vibrational communication