Todo DSpace

Listar por tema "Decision trees"

Mostrando ítems 21-37 de 37

    • Machine learning approaches for predicting health risk of cyanobacterial blooms in Northern European Lakes 

      Mellios N., Moe S.J., Laspidou C. (2020)
      Cyanobacterial blooms are considered a major threat to global water security with documented impacts on lake ecosystems and public health. Given that cyanobacteria possess highly adaptive traits that favor them to prevail ...

    • Modeling the off-target effects of CRISPR-Cas9 experiments for the treatment of Duchenne Muscular Dystrophy 

      Koutsoni E., Konstantakos V., Nentidis A., Krithara A., Paliouras G. (2022)
      Duchenne Muscular Dystrophy (DMD) is a neuromuscular disorder caused by the absence of the dystrophin protein. If left untreated, it causes movement problems at the age of 10-12 years, and death occurs in the 20-30 years ...

    • Modelling of infiltration using artificial intelligence techniques in semi-arid Iran 

      Sihag P., Singh V.P., Angelaki A., Kumar V., Sepahvand A., Golia E. (2019)
      Infiltration plays a fundamental role in streamflow, groundwater recharge, subsurface flow, and surface and subsurface water quality and quantity. In this study, adaptive neuro-fuzzy inference system (ANFIS), support vector ...

    • New plane-sweep algorithms for distance-based join queries in spatial databases 

      Roumelis G., Corral A., Vassilakopoulos M., Manolopoulos Y. (2016)
      Efficient and effective processing of the distance-based join query (DJQ) is of great importance in spatial databases due to the wide area of applications that may address such queries (mapping, urban planning, transportation ...

    • Optimal stopping: A record-linkage approach 

      Moustakides, G. V.; Verykios, V. S. (2009)
      Record-linkage is the process of identifying whether two separate records refer to the same real-world entity when some elements of the records identifying information (attributes) agree and others disagree. Existing ...

    • Parallel processing of spatial batch-queries using xBR + -trees in solid-state drives 

      Roumelis G., Velentzas P., Vassilakopoulos M., Corral A., Fevgas A., Manolopoulos Y. (2020)
      Efficient query processing in spatial databases is of vital importance for numerous modern applications. In most cases, such processing is accomplished by taking advantage of spatial indexes. The xBR +-tree is an index for ...

    • Porting disk-based spatial index structures to flash-based solid state drives 

      Carniel A.C., Roumelis G., Ciferri R.R., Vassilakopoulos M., Corral A., Aguiar C.D. (2022)
      Indexing data on flash-based Solid State Drives (SSDs) is an important paradigm recently applied in spatial data management. During last years, the design of new spatial access methods for SSDs, named flash-aware spatial ...

    • Predicting the impact of text-reading using decision trees 

      Nathanail E.G., Prevedouros P.D., Mintu Miah M., De Melo Barros R. (2019)
      Various road safety analyses prove that cell phone usage cause driver distraction which, in turn, has become a leading cause for crashes. Various studies have focused on different cell phone operations such as hand-held ...

    • Predictive join processing between regions and moving objects 

      Corral, A.; Torres, M.; Vassilakopoulos, M.; Manolopoulos, Y. (2008)
      The family of R-trees is suitable for indexing various kinds of multidimensional objects. TPR*-trees are R-tree based structures that have been proposed for indexing a moving object database, e.g. a data-base of moving ...

    • Random forest, M5P and regression analysis to estimate the field unsaturated hydraulic conductivity 

      Sihag P., Mohsenzadeh Karimi S., Angelaki A. (2019)
      Hydraulic conductivity of soil reveals its influencing role in the studies related to management of surface and subsurface flow, e.g. irrigation and drainage projects, and solute mass transport models. Direct measurements ...

    • RF Jamming Classification Using Relative Speed Estimation in Vehicular Wireless Networks 

      Kosmanos D., Karagiannis D., Argyriou A., Lalis S., Maglaras L. (2021)
      Wireless communications are vulnerable against radio frequency (RF) interference which might be caused either intentionally or unintentionally. A particular subset of wireless networks, Vehicular Ad-hoc NETworks (VANET), ...

    • Skin lesion diagnosis from images using novel ensemble classification techniques 

      Maragoudakis, M.; Maglogiannis, I. (2010)
      Reduction of the error rate of melanoma diagnosis, a critical and very dangerous skin cancer that could be treated when early detected, is of major importance. Towards this direction, the present paper presents a novel ...

    • Spatial batch-queries processing using xBR+-trees in Solid-State Drives 

      Roumelis G., Vassilakopoulos M., Corral A., Fevgas A., Manolopoulos Y. (2018)
      Efficient query processing in spatial databases is of vital importance for numerous modern applications. In most cases, such processing is accomplished by taking advantage of spatial indexes. The xBR+ -tree is an index for ...

    • A Study of R-tree Performance in Hybrid Flash/3DXPoint Storage 

      Fevgas A., Akritidis L., Alamaniotis M., Tsompanopoulou P., Bozanis P. (2019)
      The flash based solid state drives have become the storage medium of choice for many applications, replacing traditional HDDs in almost any data center. Their advent has motivated many research efforts in data management. ...

    • Usage of statistical modeling techniques in surface and groundwater level prediction 

      Kenda K., Peternelj J., Mellios N., Kofinas D., Čerin M., Rožanec J. (2020)
      The paper presents a thorough evaluation of the performance of different statistical modeling techniques in ground- and surface-level prediction scenarios as well as some aspects of the application of data-driven modeling ...

    • Use-based optimization of Spatial access methods 

      Athanasiou N., Corral A., Vassilakopoulos M., Manolopoulos Y. (2017)
      Spatial access methods have been extensively studied in the literature, during last decades. Access methods were designed for efficient processing of demanding queries and extensive comparisons between such methods have ...

    • Using machine learning to identify important predictors of COVID-19 infection prevention behaviors during the early phase of the pandemic 

      Van Lissa C.J., Stroebe W., vanDellen M.R., Leander N.P., Agostini M., Draws T., Grygoryshyn A., Gützgow B., Kreienkamp J., Vetter C.S., Abakoumkin G., Abdul Khaiyom J.H., Ahmedi V., Akkas H., Almenara C.A., Atta M., Bagci S.C., Basel S., Kida E.B., Bernardo A.B.I., Buttrick N.R., Chobthamkit P., Choi H.-S., Cristea M., Csaba S., Damnjanović K., Danyliuk I., Dash A., Di Santo D., Douglas K.M., Enea V., Faller D.G., Fitzsimons G.J., Gheorghiu A., Gómez Á., Hamaidia A., Han Q., Helmy M., Hudiyana J., Jeronimus B.F., Jiang D.-Y., Jovanović V., Kamenov, Kende A., Keng S.-L., Thanh Kieu T.T., Koc Y., Kovyazina K., Kozytska I., Krause J., Kruglanksi A.W., Kurapov A., Kutlaca M., Lantos N.A., Lemay E.P., Jr., Jaya Lesmana C.B., Louis W.R., Lueders A., Malik N.I., Martinez A.P., McCabe K.O., Mehulić J., Milla M.N., Mohammed I., Molinario E., Moyano M., Muhammad H., Mula S., Muluk H., Myroniuk S., Najafi R., Nisa C.F., Nyúl B., O'Keefe P.A., Olivas Osuna J.J., Osin E.N., Park J., Pica G., Pierro A., Rees J.H., Reitsema A.M., Resta E., Rullo M., Ryan M.K., Samekin A., Santtila P., Sasin E.M., Schumpe B.M., Selim H.A., Stanton M.V., Sultana S., Sutton R.M., Tseliou E., Utsugi A., Anne van Breen J., Van Veen K., Vázquez A., Wollast R., Wai-Lan Yeung V., Zand S., Žeželj I.L., Zheng B., Zick A., Zúñiga C., Bélanger J.J. (2022)
      Before vaccines for coronavirus disease 2019 (COVID-19) became available, a set of infection-prevention behaviors constituted the primary means to mitigate the virus spread. Our study aimed to identify important predictors ...