Browsing by Subject "Artificial intelligence"

Now showing items 61-80 of 114

    • Conference Object  

      Implementing a software cache for genetic programming algorithms for reducing execution time 

      Karatsiolis, Savvas; Schizas, Christos N. (INSTICC Press, 2014)
      A cache holding reusable computations that are carried out during the execution of a genetic algorithm is implemented and maintained in order to improve the performance of the genetic algorithm itself. The main idea is ...
    • Article  

      Implementing affect parameters in personalized web-based design 

      Lekkas, Zacharias; Tsianos, Nikos; Germanakos, Panagiotis; Mourlas, Constantinos; Samaras, George S. (2009)
      Researchers used to believe that emotional processes are beyond the scope of a scientific study. Recent advances in cognitive science and artificial intelligence, however, suggest that there is nothing mystical about ...
    • Conference Object  

      Integrating explanatory and descriptive learning in ILP 

      Dimopoulos, Yannis; Dzeroski, S.; Kakas, Antonis C. (1997)
      A learning framework that combines the two frameworks of explanatory and descriptive Inductive Logic Programming (ILP) is presented. The induced hypotheses in this framework are pairs of the form (T, IC) where T is a ...
    • Doctoral Thesis  

      Integrating Temporal abstraction with Bayesian networks : a validation in the field of coronary heart disease 

      Orphanou, Kalia A. (Πανεπιστήμιο Κύπρου, Σχολή Θετικών και Εφαρμοσμένων Επιστημών / University of Cyprus, Faculty of Pure and Applied Sciences, 2017-02)
      Η παρούσα διδακτορική διατριβή διερευνά την ενοποίηση δύο τεχνικών της Τεχνητής Νοημοσύνης συγκεκριμένα τη χρονική αφαιρετικότητα και τα δίκτυα Bayes, με στόχο τη βελτίωση της απόδοσης πληροφοριακών συστημάτων για την ...
    • Conference Object  

      Intelligent cruise control: Theory and experiment 

      Ioannou, Petros A.; Xu, Z.; Eckert, S.; Clemons, D.; Sieja, T. (Publ by IEEE, 1993)
      Automated vehicle control systems (AVCS) is an important part of intelligent vehicle and highway systems (IVHS) whose long term goal is to improve freeway capacity and safety and reduce pollution through vehicle and highway ...
    • Conference Object  

      Intelligent driver assist system for urban driving 

      Ioannou, Petros A.; Zhang, Y. (Institute of Electrical and Electronics Engineers Inc., 2016)
      Driving in an urban environment is hectic and often adventurous. Getting accurate routing instructions, finding parking spots, receiving customized information that helps individual drivers reach their destination will ...
    • Book  

      Intelligent user interfaces: adaptation and personalization systems and technologies 

      Chen, Wen Yih; Germanakos, Panagiotis (Information Science Reference, 2009)
      "This book identifies solutions and suggestions for the design and development of adaptive applications and systems that provides more usable and qualitative content and services adjusted to the needs and requirements of ...
    • Article  

      The KGP model of agency 

      Kakas, Antonis C.; Mancarella, P.; Sadri, F.; Stathis, Kostas; Toni, F. (2004)
      This paper presents a new model of agency, called the KGP (Knowledge, Goals and Plan) model. This draws from the classic BDI model and proposes a hierarchical agent architecture with a highly modular structure that synthesises ...
    • Article  

      Knowledge qualification through argumentation 

      Michael, Loizos; Kakas, Antonis C. (2009)
      We propose a framework that brings together two major forms of default reasoning in Artificial Intelligence: default property classification in static domains, and default property persistence in temporal domains. Emphasis ...
    • Article  

      Learning multiple predicates 

      Kakas, Antonis C.; Lamma, E.; Riguzzi, F. (1998)
      We present an approach for solving some of the problems of top-down Inductive Logic Programming systems when learning multiple predicates. The approach is based on an algorithm for learning abductive logic programs. Abduction ...
    • Article  

      Learning non-monotonic logic programs: Learning exceptions 

      Dimopoulos, Yannis; Kakas, Antonis C. (1995)
      In this paper we present a framework for learning non-monotonic logic programs. The method is parametric on a classical learning algorithm whose generated rules are to be understood as default rules. This means that these ...
    • Article  

      Max-product algorithms for the generalized multiple-fault diagnosis problem 

      Le, T.; Hadjicostis, Christoforos N. (2007)
      In this paper, we study the application of the max-product algorithm (MPA) to the generalized multiple-fault diagnosis (GMFD) problem, which consists of components (to be diagnosed) and alarms/connections that can be ...
    • Conference Object  

      Medical imaging with neural networks 

      Pattichis, Constantinos S.; Constantinides, Anthony G. (IEEE, 1994)
      The objective of this paper is to provide an overview of the recent developments in the use of artificial neural networks in medical imaging. The areas of medical imaging that are covered include: ultrasound, magnetic ...
    • Article  

      The method of fundamental solutions in Three-dimensional Elastostatics 

      Poullikkas, A.; Karageorghis, Andreas; Georgiou, Georgios C. (2002)
      We consider the application of the Method of Fundamental Solutions (MFS) to isotropic elastostatics problems in three-space dimensions. The displacements are approximated by linear combinations of the fundamental solutions ...
    • Conference Object  

      Mobile agents: What about them? Did they deliver what they promised? Are they here to stay? (PANEL) 

      Samaras, George S. (2004)
      Mobile Agents have brought around a new way to perform computations and develop distributed application and it is now struggling for a visible position in the area of distributed and wireless computing. This panel explores ...
    • Article  

      Modelling and implementing asynchronous timed multimedia frameworks using coordination principles 

      Papadopoulos, George Angelos (2005)
      This paper combines work done in the areas of Artificial Intelligence, Multimedia Systems and Coordination Programming to derive a framework for Distributed Multimedia Systems based on asynchronous timed computations ...
    • Article  

      Near-optimal hot-potato routing on trees 

      Busch, Costas; Magdon-Ismail, M.; Mavronicolas, Marios; Wattenhofer, R. (2004)
      In hot-potato (deflection) routing, nodes in the network have no buffers for packets in transit, which causes conflicting packets to be deflected away from their destinations. We study one-to-many batch routing problems ...
    • Article  

      Network interface for a data driven network of workstations (D2 NOW) 

      Kyriacou, Costas; Evripidou, Paraskevas (1999)
      This paper presents the network interface for the Data Driven Network Of Workstations (DzNOW), a multithreaded architecture that uses the decoupled data driven model of execution. D2NOW is built using commodity workstations. ...
    • Conference Object  

      Neural networks to estimate the influence of cervix length on the prediction of spontaneous preterm delivery before 37 weeks 

      Neokleous,Kleanthis C.; Schizas, Christos N.; Neokleous,Kleanthis C.; Pattichis, Constantinos S.; Anastasopoulos, Panagiotis; Nikolaides, Kypros H. (2008)
      Neural networks were applied in an effort to predict the risk for early spontaneous preterm delivery using various demographic, clinical, and laboratory inputs. Furthermore, attention has been focused on the influence of ...
    • Conference Object  

      A new look at the semantics and optimization methods of CP-networks 

      Brafman, R. I.; Dimopoulos, Yannis (2003)
      Preference elicitation is a serious bottleneck in many decision support applications and agent specification tasks. CP-nets were designed to make the preference elicitation process simpler and more intuitive for lay users ...