Bounded Rationality in Computer Science Curricula. - Constantin Oprean; Claudiu Claudiu Kifor; Boldur E. Barbat; Adrian Brasoveanu 002; Ralf D. Fabian (FECS, 2010)

Generic Multimodal Ontologies for Human-Agent Interaction. - Adrian Brasoveanu 002; Adriana Manolescu; Marian Nicu Spînu (Int. J. Comput. Commun. Control, 2010)

The Avatar in the Context of Intelligent Social Semantic Web. - Adrian Brasoveanu 002; Mariana Nagy; Oana Mateut-Petrisor; Ramona Urziceanu (Int. J. Comput. Commun. Control, 2010)

Interactive visualization of emerging topics in multiple social media streams. - Adrian M. P. Brasoveanu; Alexander Hubmann-Haidvogel; Arno Scharl (AVI, 2012)

Supporting tourism decision making with linked data. - Marta Sabou; Adrian M. P. Brasoveanu; Irem Arsal (I-SEMANTICS, 2012)

Visualizing Contextual and Dynamic Features of Micropost Streams. - Alexander Hubmann-Haidvogel; Adrian M. P. Brasoveanu; Arno Scharl; Marta Sabou; Stefan Gindl (#MSM, 2012)

The Role of Visual Rhetoric in Semantic Multimedia: Strategies for Decision Making in Times of Crisis. - Adrian M. P. Brasoveanu; Ioan Dzitac (Int. J. Comput. Commun. Control, 2012)

TourMISLOD: A tourism linked data set. - Marta Sabou; Irem Arsal; Adrian M. P. Brasoveanu (Semantic Web, 2013)

Linked Data for Cross-Domain Decision-Making in Tourism. - Marta Sabou; Adrian M. P. Brasoveanu; Irem Önder (ENTER, 2015)

A Regional News Corpora for Contextualized Entity Discovery and Linking. - Adrian Brasoveanu 002; Lyndon J. B. Nixon; Albert Weichselbraun; Arno Scharl (LREC, 2016)

Towards cross-domain data analytics in tourism: a linked data based approach. - Marta Sabou; Irem Onder; Adrian M. P. Brasoveanu; Arno Scharl (J. Inf. Technol. Tour., 2016)

Torpedo: Improving the State-of-the-Art RDF Dataset Slicing. - Edgard Marx; Saeedeh Shekarpour; Tommaso Soru; Adrian M. P. Brasoveanu; Muhammad Saleem 002; Ciro Baron; Albert Weichselbraun; Jens Lehmann 001; Axel-Cyrille Ngonga Ngomo; Sören Auer (ICSC, 2017)

Visualizing statistical linked knowledge for decision support. - Adrian M. P. Brasoveanu; Marta Sabou; Arno Scharl; Alexander Hubmann-Haidvogel; Daniel Fischl (Semantic Web, 2017)

On the Importance of Drill-Down Analysis for Assessing Gold Standards and Named Entity Linking Performance. - Fabian Odoni; Philipp Kuntschik; Adrian M. P. Brasoveanu; Albert Weichselbraun (SEMANTiCS, 2018)

Framing Named Entity Linking Error Types. - Adrian Brasoveanu 002; Giuseppe Rizzo 002; Philipp Kuntschik; Albert Weichselbraun; Lyndon J. B. Nixon (LREC, 2018)

StoryLens: A Multiple Views Corpus for Location and Event Detection. - Adrian M. P. Brasoveanu; Lyndon J. B. Nixon; Albert Weichselbraun (WIMS, 2018)

Mining and Leveraging Background Knowledge for Improving Named Entity Linking. - Albert Weichselbraun; Philipp Kuntschik; Adrian M. P. Brasoveanu (WIMS, 2018)

Introducing orbis: An extendable evaluation pipeline for named entity linking performance drill-down analyses. - Fabian Odoni; Adrian M. P. Brasoveanu; Philipp Kuntschik; Albert Weichselbraun (ASIST, 2019)

Semantic Fake News Detection: A Machine Learning Perspective. - Adrian M. P. Brasoveanu; Razvan Andonie (IWANN (1), 2019)

Name Variants for Improving Entity Discovery and Linking. - Albert Weichselbraun; Philipp Kuntschik; Adrian M. P. Brasoveanu (LDK, 2019)

Improving Named Entity Linking Corpora Quality. - Albert Weichselbraun; Adrian M. P. Brasoveanu; Philipp Kuntschik; Lyndon J. B. Nixon (RANLP, 2019)

In Media Res: A Corpus for Evaluating Named Entity Linking with Creative Works. - Adrian M. P. Brasoveanu; Albert Weichselbraun; Lyndon J. B. Nixon (CoNLL, 2020)

Visualizing Transformers for NLP: A Brief Survey. - Adrian M. P. Brasoveanu; Razvan Andonie (IV, 2020)

Harvest - An Open Source Toolkit for Extracting Posts and Post Metadata from Web Forums. - Albert Weichselbraun; Adrian M. P. Brasoveanu; Roger Waldvogel; Fabian Odoni (WI/IAT, 2020)

Integrating Machine Learning Techniques in Semantic Fake News Detection. - Adrian M. P. Brasoveanu; Razvan Andonie (Neural Process. Lett., 2021)

Automatic Expansion of Domain-Specific Affective Models for Web Intelligence Applications. - Albert Weichselbraun; Jakob Steixner; Adrian M. P. Brasoveanu; Arno Scharl; Max C. Göbel; Lyndon J. B. Nixon (Cogn. Comput., 2022)

Visualizing and Explaining Language Models. - Adrian M. P. Brasoveanu; Razvan Andonie (CoRR, 2022)

Framing Few-Shot Knowledge Graph Completion with Large Language Models. - Adrian M. P. Brasoveanu; Lyndon J. B. Nixon; Albert Weichselbraun; Arno Scharl (SEMANTICS Workshops, 2023)

Unsupervised Topic Modeling with BERTopic for Coarse and Fine-Grained News Classification. - Mohamad Al Sayed; Adrian M. P. Brasoveanu; Lyndon J. B. Nixon; Arno Scharl (IWANN (1), 2023)

Orbis Annotator: An Open Source Toolkit for the Efficient Annotation and Refinement of Text. - Norman Süsstrunk; Andreas Fraefel; Albert Weichselbraun; Adrian M. P. Brasoveanu (LDK, 2023)

Integrating Economic Theory, Domain Knowledge, and Social Knowledge into Hybrid Sentiment Models for Predicting Crude Oil Markets. - Himmet Kaplan; Albert Weichselbraun; Adrian M. P. Brasoveanu (Cogn. Comput., 2023)

Visualizing Large Language Models: A Brief Survey. - Adrian M. P. Brasoveanu; Arno Scharl; Lyndon J. B. Nixon; Razvan Andonie (IV, 2024)

Anticipating Job Market Demands - A Deep Learning Approach to Determining the Future Readiness of Professional Skills. - Albert Weichselbraun; Norman Süsstrunk; Roger Waldvogel; André Glatzl; Adrian M. P. Brasoveanu; Arno Scharl (Future Internet, 2024)