There is hope after all: Quantifying opinion and trustworthiness in neural networks
Artificial Intelligence (AI) plays a fundamental role in the modern world, especially when
used as an autonomous decision maker. One common concern nowadays is “how …
used as an autonomous decision maker. One common concern nowadays is “how …
Domain categorization of open educational resources based on linked data
One of the main objectives of open knowledge, and specifically of Open Educational
Resource movement, is to allow people to access the resources they need for learning. The …
Resource movement, is to allow people to access the resources they need for learning. The …
Emails as graph: relation discovery in email archive
In this paper, we present an approach for representing an email archive in the form of a
network, capturing the communication among users and relations among the entities …
network, capturing the communication among users and relations among the entities …
Refining frequency-based tag reuse predictions by means of time and semantic context
In this paper, we introduce a tag recommendation algorithm that mimics the way humans
draw on items in their long-term memory. Based on a theory of human memory, the …
draw on items in their long-term memory. Based on a theory of human memory, the …
[PDF][PDF] Recommendation techniques on a knowledge graph for email remarketing
L Grad-Gyenge, P Filzmoser - eKNOW 2016, The Eighth …, 2016 - academia.edu
The knowledge graph, which is an ontology based representation technique, is described to
model the information necessary to conduct collaborative filtering, content-based filtering …
model the information necessary to conduct collaborative filtering, content-based filtering …
Vectorised Spreading Activation algorithm for centrality measurement
A Troussov, F Dařena, J Žižka… - Acta Universitatis …, 2011 - d-scholarship.pitt.edu
Spreading Activation is a family of graph-based algorithms widely used in areas such as
information retrieval, epidemic models, and recommender systems. In this paper we …
information retrieval, epidemic models, and recommender systems. In this paper we …
Discovering relations by entity search in lightweight semantic text graphs
Entity search is becoming a popular alternative for full text search. Recently Google released
its entity search based on confirmed, human-generated data such as Wikipedia. In spite of …
its entity search based on confirmed, human-generated data such as Wikipedia. In spite of …
The paradigm of relatedness
L Grad-Gyenge, P Filzmoser - … Workshops, Leipzig, Germany, July 6-8 …, 2017 - Springer
This paper introduces the paradigm of relatedness, the generalization of the paradigm of
user interest. Relatedness is typically interpreted in a graph based information …
user interest. Relatedness is typically interpreted in a graph based information …
[PDF][PDF] Simulating activation propagation in social networks using the graph theory
F Dařena, A Troussov, J Žižka - Acta univ. agric. et silvic …, 2010 - pdfs.semanticscholar.org
Abstract DAŘENA, F., TROUSSOV, A., ŽIŽKA, J.: Simulating activation propagation in social
networks using the graph theory. Acta univ. agric. et silvic. Mendel. Brun., 2010, LVIII, No. 3 …
networks using the graph theory. Acta univ. agric. et silvic. Mendel. Brun., 2010, LVIII, No. 3 …
[PDF][PDF] gSemSearch: Objavovanie relácií v kolekciách textových a grafových dát
V článku opisujeme „work-in-progres “algoritmy a užívateľské rozhranie zamerané na
objavovanie relácií medzi entitami v kolekciách textových a grafových dát. Problém …
objavovanie relácií medzi entitami v kolekciách textových a grafových dát. Problém …