Search Results - "Margaritis, Konstantinos G"

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  1. 1

    A Fusion Method for Combining Low-Cost IMU/Magnetometer Outputs for Use in Applications on Mobile Devices by Patonis, Photis, Patias, Petros, Tziavos, Ilias N, Rossikopoulos, Dimitrios, Margaritis, Konstantinos G

    Published in Sensors (Basel, Switzerland) (09-08-2018)
    “…This paper presents a fusion method for combining outputs acquired by low-cost inertial measurement units and electronic magnetic compasses. Specifically,…”
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    Journal Article
  2. 2

    Confidence ratio affinity propagation in ensemble selection of neural network classifiers for distributed privacy-preserving data mining by Kokkinos, Yiannis, Margaritis, Konstantinos G.

    Published in Neurocomputing (Amsterdam) (20-02-2015)
    “…We consider distributed privacy-preserving data mining in large decentralized data locations which can build several neural networks to form an ensemble. The…”
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    Journal Article
  3. 3

    Managing the computational cost of model selection and cross-validation in extreme learning machines via Cholesky, SVD, QR and eigen decompositions by Kokkinos, Yiannis, Margaritis, Konstantinos G.

    Published in Neurocomputing (Amsterdam) (21-06-2018)
    “…•Managing the computational cost of Extreme Learning Machine model selection and cross-validation.•Comparing Singular Value Decomposition (SVD), Eigenvalue…”
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    Journal Article
  4. 4

    Topology and simulations of a Hierarchical Markovian Radial Basis Function Neural Network classifier by Kokkinos, Yiannis, Margaritis, Konstantinos G.

    Published in Information sciences (10-02-2015)
    “…This paper presents a Hierarchical Markovian Radial Basis Function Neural Network (HiMarkovRBFNN) model that enables recursive operations. The hierarchical…”
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    Journal Article
  5. 5

    Big data regression with parallel enhanced and convex incremental extreme learning machines by Kokkinos, Yiannis, Margaritis, Konstantinos G.

    Published in Computational intelligence (01-08-2018)
    “…This work considers scalable incremental extreme learning machine (I‐ELM) algorithms, which could be suitable for big data regression. During the training of…”
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    Journal Article
  6. 6

    Local learning regularization networks for localized regression by Kokkinos, Yiannis, Margaritis, Konstantinos G.

    Published in Neural computing & applications (01-06-2017)
    “…Local learning algorithms use a neighborhood of training data close to a given testing query point in order to learn the local parameters and create on-the-fly…”
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    Journal Article
  7. 7

    A distributed privacy-preserving regularization network committee machine of isolated Peer classifiers for P2P data mining by Kokkinos, Yiannis, Margaritis, Konstantinos G.

    Published in The Artificial intelligence review (01-10-2014)
    “…For distributed data mining in peer-to-peer systems this work describes a completely asynchronous, scalable and privacy-preserving committee machine…”
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    Journal Article
  8. 8

    The MYCIN certainty factor handling function as uninorm operator and its use as a threshold function in artificial neurons by Tsadiras, Athanasios K, Margaritis, Konstantinos G

    Published in Fuzzy sets and systems (01-02-1998)
    “…The uninorm operator class as defined by Yager, unifies the t-norm and t-conorm operator classes and allows special kind of aggregation that depends on the…”
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    Journal Article
  9. 9

    Parallel direct methods for solving the system of linear equations with pipelining on a multicore using OpenMP by Michailidis, Panagiotis D., Margaritis, Konstantinos G.

    “…Recent developments in high performance computer architecture have a significant effect on all fields of scientific computing. Linear algebra and especially…”
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    Journal Article
  10. 10

    On the combination of user-based and item-based collaborative filtering by Vozalis, Manolis, Margaritis †, Konstantinos G.

    “…In this paper, we propose two new filtering algorithms which are a combination of user-based and item-based collaborative filtering schemes. The first one,…”
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    Journal Article
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    An Experimental Study of Benchmarking Functions for Genetic Algorithms by Digalakis, Jason G., Margaritis, Konstantinos G.

    “…This paper presents a review and experimental results on the major benchmarking functions used for performance control of Genetic Algorithms (GAs). Parameters…”
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    Journal Article
  12. 12

    A programmable array processor architecture for flexible approximate string matching algorithms by Michailidis, Panagiotis D., Margaritis, Konstantinos G.

    “…Approximate string matching problem is a common and often repeated task in information retrieval and bioinformatics. This paper proposes a generic design of a…”
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    Journal Article
  13. 13

    Identifying the effects of SVD and demographic data use on generalized collaborative filtering by Vozalis, Manolis G., Margaritis, Konstantinos G.

    “…The purpose of this paper is to examine how singular value decomposition (SVD) and demographic information can improve the performance of plain collaborative…”
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    Journal Article
  14. 14

    A multipopulation cultural algorithm for the electrical generator scheduling problem by Digalakis, Jason G, Margaritis, Konstantinos G

    Published in Mathematics and computers in simulation (30-09-2002)
    “…The electrical generator maintenance scheduling problem has been tackled by a variety of traditional optimisation techniques over the years. This paper…”
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    Journal Article Conference Proceeding
  15. 15

    Cognitive mapping and certainty neuron fuzzy cognitive maps by Tsadiras, Athanasios K., Margaritis, Konstantinos G.

    Published in Information sciences (1997)
    “…Cognitive maps (CMs) and fuzzy cognitive maps (FCMs) are well-established techniques that attempt to emulate the cognitive process of human experts on specific…”
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    Journal Article
  16. 16

    Simulating parallel scalable probabilistic neural networks via exemplar selection and EM in a ring pipeline by Kokkinos, Yiannis, Margaritis, Konstantinos G.

    Published in Journal of computational science (01-03-2018)
    “…•Large scale parallel Probabilistic Neural Network (PNN) construction via exemplar selection and expectation maximization.•Kernel Gradient Subtractive…”
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    Journal Article
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    Scientific computations on multi-core systems using different programming frameworks by Michailidis, Panagiotis D., Margaritis, Konstantinos G.

    Published in Applied numerical mathematics (01-06-2016)
    “…Numerical linear algebra is one of the most important forms of scientific computation. The basic computations in numerical linear algebra are matrix…”
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    Journal Article
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    Two neuron fuzzy cognitive map dynamics by Tsadiras, Athanasios K., Margaritis, Konstantinos G.

    “…Fuzzy Cognitive Maps (FCMs) are a class of discrete time Artificial Neural Networks that use the structure of recurrent neural networks to create models and…”
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    Journal Article