Results 21 to 30 of about 16,607,891 (208)

Propagation effects of model-calculated probability values in Bayesian networks [PDF]

, 2015
Probabilistic causal interaction models have become quite popular among Bayesian-network engineers as elicitation of all probabilities required often proves the main bottleneck in building a real-world network with domain experts.
Decision Support Systems, Woudenberg, Steven, Sub Decision Support Systems, van der Gaag, Linda   +3 more
core   +2 more sources

Neural network algorithm for predicting human speed based on computer vision and machine learning [PDF]

ITM Web of Conferences
The problem of increasing the accuracy of predicting human actions is an urgent task for various human-machine systems. The study examines the solution to the problem of predicting human speed using neural network algorithms, computer vision technologies,
Obukhov Artem, Teselkin Daniil, Surkova Ekaterina, Komissarov Artem, Shilcin Maxim   +4 more
doaj   +1 more source

Balanced sensitivity functions for tuning multi-dimensional Bayesian network classifiers [PDF]

, 2017
Multi-dimensional Bayesian network classifiers are Bayesian networks of restricted topological structure, which are tailored to classifying data instances into multiple dimensions.
Bolt, J.H., Decision Support Systems, Sub Decision Support Systems, van der Gaag, L.C., Dep Informatica   +4 more
core   +2 more sources

Concise representations and construction algorithms for semi-graphoid independency models [PDF]

, 2017
The conditional independencies from a joint probability distribution constitute a model which is closed under the semi-graphoid properties of independency. These models typically are exponentially large in size and cannot be feasibly enumerated.
Lopatatzidis, S., Decision Support Systems, Sub Decision Support Systems, van der Gaag, L.C., van der Gaag, Linda C., Lopatatzidis, Stavros   +5 more
core   +2 more sources

Transfer Learning for Day-Ahead Load Forecasting: A Case Study on European National Electricity Demand Time Series

Mathematics, 2023
Short-term load forecasting (STLF) is crucial for the daily operation of power grids. However, the non-linearity, non-stationarity, and randomness characterizing electricity demand time series renders STLF a challenging task.
Alexandros Menelaos Tzortzis, Sotiris Pelekis, Evangelos Spiliotis, Evangelos Karakolis, Spiros Mouzakitis, John Psarras, Dimitris Askounis   +6 more
doaj   +1 more source

Exploiting Causality in Constructing Bayesian Network Graphs from Legal Arguments [PDF]

, 2018
In this paper, we propose a structured approach for transforming legal arguments to a Bayesian network (BN) graph. Our approach automatically constructs a fully specified BN graph by exploiting causality information present in legal arguments.
Sub Intelligent Systems, Bex, F.J.; id_orcid, Wieten, G.M., Renooij, S., Intelligent Systems, Decision Support Systems, Sub Decision Support Systems, Bex, F.J., Palmirani, Monica, Prakken, H.   +9 more
core   +1 more source

Federated Learning for Enhanced Cybersecurity and Trustworthiness in 5G and 6G Networks: A Comprehensive Survey

IEEE Open Journal of the Communications Society
In the fast-progressing field of wireless communications, the forthcoming 6G networks are expected to revolutionize the way we communicate, offering unparalleled speed, minimal latency, and seamless connectivity.
Afroditi Blika, Stefanos Palmos, George Doukas, Vangelis Lamprou, Sotiris Pelekis, Michael Kontoulis, Christos Ntanos, Dimitris Askounis   +7 more
doaj   +1 more source

RETROFIT-LAT: A comprehensive dataset for energy efficiency investments in Latvia [version 2; peer review: 1 approved, 2 approved with reservations, 1 not approved]

Open Research Europe
This article presents RETROFIT-LAT: a collection of data from 1010 residential building projects, funded by the Republic of Latvia’s Environmental Investment Fund (LEIF).
Askounis Dimitris, Aija Zucika, Christos Ntanos, Αlexandros Menelaos Tzortzis, Sotiris Pelekis, Panagiota Rempi   +5 more
doaj   +1 more source

In-Cognitive: A web-based Python application for fuzzy cognitive map design, simulation, and uncertainty analysis based on the Monte Carlo method

SoftwareX, 2023
Fuzzy Cognitive Mapping is a semi-quantitative modelling method, widely used for decision support in various domains. However, existing software applications have been criticised over inadequate handling of uncertain information, lack of accessibility ...
Themistoklis Koutsellis, Georgios Xexakis, Konstantinos Koasidis, Natasha Frilingou, Anastasios Karamaneas, Alexandros Nikas, Haris Doukas   +6 more
doaj   +1 more source

Estimating the Energy Savings of Energy Efficiency Actions with Ensemble Machine Learning Models

Applied Sciences, 2023
Energy efficiency financing is considered among the top priorities in the energy sector among several stakeholders. In this context, accurately estimating the energy savings achieved by energy efficiency actions before being approved and implemented is ...
Elissaios Sarmas, Evangelos Spiliotis, Nikos Dimitropoulos, Vangelis Marinakis, Haris Doukas   +4 more
doaj   +1 more source