Kristijan Lenac held an invited lecture “Blockchain – Basic concepts and applicability” at the DREAMS 3rd IAB Workshop in Madrid on 23rd of May 2019. in Madrid, Spain. The lecture presented an introduction to the blockchain technology with the focus on its applications to systems that generate, maintain and distribute information to aviation.
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Translation Error Analysis in TREAT: A Windows App Using the MQM Framework
The aim of this research paper is to conduct a thorough analysis of inter-annotator agreement in the process of error analysis, which is well-known for its subjectivity and low level of agreement. Since the process is tiresome in its nature and the available user interfaces are pretty distinct from what the average annotator is accustomed […]
Invited talk at the Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Ljubljana
Invited talk on “Computer-Aided Decision Support Systems in Medicine” by Assis. Prof. Jonatan Lerga, PhD, at the Faculty of Electrical Engineering and Computer Science, University of Maribor, Slovenia, was held on the 9th of May, 2019.
Invited talk at the Faculty of Medicine, Vasile Goldis Western University of Arad, Arad, Romania
Invited talk on “Computer-Aided Biomedical Signal Analysis” by Assis. Prof. Jonatan Lerga, PhD, at the Faculty of Medicine, Vasile Goldis Western University of Arad, Arad, Romania, was held on the 7th of May, 2019.
People in Motion: Entangled Histories of Displacement across the Mediterranean (1492-1923)
People in Motion: Entangled Histories of Displacement across the Mediterranean, or PIMo, explores common forms of displacement and dispossession across the Mediterranean from the fifteenth century to the present. With a focus on people – and the ideas, objects, and writing that accompanied them – our goals include evaluating the ways and degree to which these […]
Challenges of adaptive coastal voyage planning
Creating an efficient and safe voyage plan is a complex and challenging task. Compliance with safe mandatory voyage planning procedures must be considered alongside shortest distance, sailing time and efficiency. Mentioned factors reflect on decisions in voyage appraisal, planning, execution and monitoring. Decisions in all voyage stages are further influenced by navigational knowledge and experience […]
Two-tier image annotation model based on a multi-label classifier and fuzzy-knowledge representation scheme
Highlights Multi-label classification and knowledge-based approach to image annotation. The definition of the fuzzy knowledge representation scheme based on FPN. Novel data-driven algorithms for automatic acquisition of fuzzy knowledge. Novel inference based algorithms for annotation refinement and scene recognition. A comparison of inference-based scene classification with an ordinary approach.
Extraction of Useful Information Content From Noisy Signals Based on Structural Affinity of Clustered TFDs’ Coefficients
This paper proposes an automatic method for extraction of useful information content from time-frequency distributions of nonstationary signals heavily corrupted by additive noise. The proposed method, which does not require prior knowledge of the signal, initially performs a one-dimensional clustering of the time-frequency distribution aimed at segmenting it into a fixed number of classes. This […]
An experimental methodology for the concurrent characterization of multiple parameters influencing nanoscale friction
A structured transdisciplinary method for the experimental determination of friction in the nanometric domain is proposed in this paper. The dependence of nanoscale friction on multiple process parameters on these scales, which comprise normal forces, sliding velocities, and temperature, was studied via the lateral force microscopy approach. The procedure used to characterize the stiffness of […]
Multi-level image annotation using bayes classifier and fuzzy knowledge representation scheme
In this paper, a model for multi-level image annotation that is performed in two phases is proposed. In the first phase, a Naïve Bayes classifier is used to classify low-level image features into elementary classes. In the second phase, a knowledge representation scheme based on Fuzzy Petri Net is used to expand the level of […]
