Scharl, Arno, 1970-....
Arno Scharl researcher
Scharl, Arno
VIAF ID: 117331816 (Personal)
Permalink: http://viaf.org/viaf/117331816
Preferred Forms
- 100 0 _ ‡a Arno Scharl ‡c researcher
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- 100 1 _ ‡a Scharl, Arno
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- 100 1 _ ‡a Scharl, Arno ‡d 1970-
- 100 1 _ ‡a Scharl, Arno ‡d 1970-
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- 100 1 0 ‡a Scharl, Arno, ‡d 1970-
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- 100 1 _ ‡a Scharl, Arno, ‡d 1970-....
4xx's: Alternate Name Forms (1)
Works
Title | Sources |
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Accuracy of neuro-fuzzy logic and regression calculations in determining maximal lactate steady-state power output from incremental tests in humans. | |
Analyzing the public discourse on works of fiction - Detection and visualization of emotion in online coverage about HBO's Game of Thrones | |
Annotating and visualizing location data in geospatial web applications | |
Applying Optimal Stopping Theory to Improve the Performance of Ontology Refinement Methods | |
Applying Vector Space Models to Ontology Link Type Suggestion | |
An Automated Approach to Investigating the Online Media Coverage of U.S. Presidential Elections | |
Automated Ontology Learning and Validation Using Hypothesis Testing | |
Capturing and Classifying Ontology Evolution in News Media Archives | |
Climate quiz | |
Crowdsourced Knowledge Acquisition | |
Crowdsourcing research opportunities | |
Detection of Valid Sentiment-Target Pairs in Online Product Reviews and News Media Articles | |
Discovery and evaluation of non-taxonomic relations in domain ontologies | |
Distributed Web2.0 crawling for ontology evolution | |
Dynamic Topography Information Landscapes – An Incremental Approach to Visual Knowledge Discovery | |
Enhancing Web intelligence with the content of online video fragments | |
Enriching semantic knowledge bases for opinion mining in big data applications | |
Environmental Online Communication | |
An Evaluation Framework and Adaptive Architecture for Automated Sentiment Detection | |
Evidence Sources, Methods and Use Cases for Learning Lightweight Domain Ontologies | |
Evolutionary Web Development | |
Extracting and Grounding Contextualized Sentiment Lexicons | |
Extracting Opinion Targets from Environmental Web Coverage and Social Media Streams | |
Extraction and interactive exploration of knowledge from aggregated news and social media content | |
From Web Intelligence to Knowledge Co-Creation: A Platform for Analyzing and Supporting Stakeholder Communication | |
Games with a Purpose or Mechanised Labour? | |
Generic high-throughput methods for multilingual sentiment detection | |
The geospatial web : how geobrowsers, social software and the Web 2.0 are shaping the network society | |
Integrating Structural Data into Methods for Labeling Relations in Domain Ontologies | |
Knowledge capture from multiple online sources with the extensible web retrieval toolkit (eWRT) | |
Linked Enterprise Data for Fine Grained Named Entity Linking and Web Intelligence | |
Media Watch on Climate Change -- Visual Analytics for Aggregating and Managing Environmental Knowledge from Online Sources | |
Multiple coordinated views for searching and navigating Web content repositories | |
Neurofuzzy-Hybridsysteme / Arno Scharl. - Wien, 1999. | |
Neurofuzzy-Hybridsysteme theoretische Grundlagen, Vergleich mit statistischen Problemlösungsklassen und Anwendung im Rahmen leistungsdiagnostischer Fragestellungen | |
Proceedings of the 20th International Conference "Informatics for Environmental Protection" (Graz, Austria) | |
Referenzmodellierung kommerzieller Masseninformationssyteme, c1997: | |
Refining non-taxonomic relation labels with external structured data to support ontology learning | |
Scalable Knowledge Extraction and Visualization for Web Intelligence | |
Towards cross-domain data analytics in tourism: a linked data based approach | |
Tracking and modelling information diffusion across interactive online media | |
Using games with a purpose and bootstrapping to create domain-specific sentiment lexicons | |
Visualizing statistical linked knowledge for decision support | |
Web content mining for comparing corporate and third-party online reporting: a case study on solid waste management |