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Explainable artificial intelligence: A survey
TLDR
Recent developments in XAI in supervised learning are summarized, a discussion on its connection with artificial general intelligence is started, and proposals for further research directions are given.
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Planning horizons based proactive rescheduling for stochastic resource-constrained project scheduling problems
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Student's t-Tests
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Multivariate Normal Distributions
TLDR
The goal of this book is multidimensional: to help reviving Statistics education in many parts in the world where it is in crisis, and to enable all the researchers, managers and practicioners to refresh their knowledge in Statistics, especially in certain controversial fields.
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Improved frequency measurement by means of DMM and verification of its specifications
A simple, but highly accurate, sampling method for the measurement of frequency by means of a digital multimeter (DMM) or a digital voltmeter (DVM) is explained both theoretically and from the…
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Comparison of E-Learning Management Systems
This paper provides comparative analysis of ten types of e-Learning Management Systems (LMS) established on the market. We recognize four LMS types: (1) proprietary LMS, (2) mainly proprietary and…
Detection of suspicious patterns of energy consumption using neural network trained by generated samples
TLDR
It is shown that NTL can be successfully detected by a neural network trained by “artificial”, i.e., generated samples, which eliminates the need for many hard-to-obtain real life samples and the network can easily be trained to detect some new, non-typical occurrences in the system.
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A derivative-free algorithm for solving quasi-linear systems
A novel derivative-free algorithm for solving quasi-linear systems is presented. It resembles “classical” optimization approach but greatly simplifies computation, resulting in fast execution and…
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Simulation library for Resource Constrained Project Scheduling with uncertain activity durations
TLDR
This paper describes the discrete-time simulation library aimed to support the creation of simulation-based algorithms for solving SRCPS problems with known probability distributions of activity durations and proposes modular organization of simulators that enables better reuse of basic intrinsic project scheduling functionality.
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Why (not) ORM?
TLDR
The two widely used approaches to data modelling, the application of Unified Modelling Language (UML) and Object Role Modelling (ORM) are compared and examples clearly show how the same information can be very differently perceptive in ORM and UML models.
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