• In-memory k nearest neighbor GPU-based query processing 

      Velentzas P., Vassilakopoulos M., Corral A. (2020)
      The k Nearest Neighbor (k-NN) algorithm is widely used for classification in several application domains (medicine, economy, entertainment, etc.). Let a group of query points, for each of which we need to compute the k-NNs ...
    • An information system for judicial and public administration using artificial intelligence and geospatial data 

      Kouziokas G.N. (2017)
      The adoption of information technology in judicial and public administration has become a major need nowadays with the rapid growth of information regarding managerial issues. This paper presents an advanced methodology ...
    • The K group nearest-neighbor query on non-indexed RAM-resident data 

      Roumelis G., Vassilakopoulos M., Corral A., Manolopoulos Y. (2016)
      Data sets that are used for answering a single query only once (or just a few times) before they are replaced by new data sets appear frequently in practical applications. The cost of buiding indexes to accelerate query ...
    • Limiting the impact of statistics as a proverbial source of falsehood 

      Kiouvrekis Y., Stefaneas P., Kokkinaki A., Asimakis N. (2019)
      This paper presents an early version of a decision-making “eco” system. We refer to it as an “eco” system because it is primarily based on mathematical logic and combines concepts and principles from the fields of statistics, ...
    • Live Vessels' Monitoring using Geographic Information and Internet of Things 

      Filippopoulos I., Panagiotakopoulos T., Skiadas C., Triantafyllou S.-M., Violaris A., Kiouvrekis Y. (2022)
      The purpose of this paper is to present the GIS Vessels Monitoring Platform, an integration platform, which collects information from various, heterogeneous internal and external sources and represents the collected ...
    • Machine learning for all: A more robust federated learning framework 

      Ilias C., Georgios S. (2019)
      Machine learning and especially deep learning are appropriate for solving multiple problems in various domains. Training such models though, demands significant processing power and requires large data-sets. Federated ...
    • Moving Towards a Blockchain-Based Healthcare Information System 

      Balis C., Tagopoulos I., Dimola K. (2019)
      One of the major problems that a national health system face is the lack of a unified clinical data management. In Greece, the critical and sensitive medical data generated during a patient lifetime are fragmented in one ...
    • Multi-dimension diversification in legal information retrieval 

      Koniaris M., Anagnostopoulos I., Vassiliou Y. (2016)
      The number of freely available legal data sets is increasing at high speed. Citizens can easily access a lot of information about regulations,court orders,statutes,opinions and analytical documents. Such openness brings ...
    • A multilateral design process of decision support systems: Some issues 

      Sagheb-Tehrani, M.; Manussaridis, Z.; Maysami, R. C. (2005)
      A discussion is presented of why some Decision Support Systems (DDS) that some firms have developed cannot satisfy the users' needs. Trying to develop a specific Decision Support System (DSS) for Vehicle Routing and ...
    • Network analysis in the legal domain: A complex model for European Union legal sources 

      Koniaris M., Anagnostopoulos I., Vassiliou Y. (2018)
      Legislators, designers of legal information systems, as well as citizens face often problems due to the interdependence of the laws and the growing number of references needed to interpret them. In this article, we introduce ...
    • Normative conflicts:Patterns,detection and resolution 

      Giannikis, G. K.; Daskalopulu, A. (2009)
      The analysis, representation and management of normative conflicts have been the focus of much research in recent years in commercial and business applications. In this paper we are concerned with normative conflicts that ...
    • On green scheduling for desktop grids 

      Loukopoulos T., Koziri M.G., Kolomvatsos K., Oikonomou P. (2018)
      Task scheduling is of paramount importance in a desktop grid environment. Earlier works in the area focused on issues such as: meeting task deadlines, minimizing make-span, monitoring and checkpointing for progress, malicious ...
    • On the information diffusion between web-based social networks 

      Haralabopoulos G., Anagnostopoulos I. (2015)
      The topic of Information diffusion has been in the centre of sociology interest for many years. Even before the rise of Online Social Networks (OSNs), social ties and the way the information flows have been studied in ...
    • On the optimal processor assignment for computing the steady state kalman filter in parallel and distributed systems 

      Koziri M.G., Loukopoulos T., Adam M., Assimakis N., Tzialas G. (2017)
      Kalman filters have many practical applications in various fields such as sensor networks, image and video processing. Therefore, their fast computation is of paramount importance. In this paper distributed implementations ...
    • Plane-sweep algorithms for the K Group Nearest-Neighbor Query 

      Roumelis, G.; Vassilakopoulos, M.; Corral, A.; Manolopoulos, Y. (2015)
      One of the most representative and studied queries in Spatial Databases is the (K) Nearest-Neighbor (NNQ), that discovers the (K) nearest neighbor(s) to a query point. An extension that is important for practical applications ...
    • Predicting woody plant diversity as key component of ecosystems: A case study in central Greece 

      Solomou A.D., Sfougaris A. (2019)
      The Mediterranean basin is a global hotspot of biodiversity. Woody plants are key components of ecosystems. This article explores the environmental impacts on woody plant species richness and diversity in maquis and abandoned ...
    • 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 ...
    • Representation of lattices with modal operators in two-sorted frames 

      Hartonas C., Orłowska E. (2019)
      We study general lattices with normal unary operators for which we prove relational representation and duality results. Similar results have appeared in print, using Urquhart's lattice representation, by the second author ...
    • SliceNBound: Solving closest pairs and distance join queries in apache spark 

      Mavrommatis G., Moutafis P., Vassilakopoulos M., García-García F., Corral A. (2017)
      The (K) Closest-Pair(s) Query, KCPQ, consists in finding the (K) closest pair(s) of objects between two spatial datasets. Recently, several systems that enhance Apache Spark with spatial-awareness have been presented, ...
    • Telemedicine in Shipping Made Easy - Shipping eHealth Solutions 

      Koumantaki E.-E., Filippopoulos I., Kokkinaki A., Liakou C., Kiouvrekis Y. (2020)
      This research study aims to highlight the main weak and strong points of existing telemedicine technologies as well as to propose the creation of a new, innovative and financially efficient system of telemedicine which can ...