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Mark Kröll
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2020 – today
- 2024
- [c31]Karner Manuel, Julian Linke, Mark Kröll, Barbara Schuppler, Bernhard C. Geiger:
Towards Improving ASR Outputs of Spontaneous Speech with LLMs. BBBBBBBBBB 2024: 339-348 - 2020
- [c30]Sergiy Gogolenko, Derek Groen, Diana Suleimenova, Imran Mahmood, Marcin Lawenda, Francisco Javier Nieto de Santos, John Hanley, Milana Vuckovic, Mark Kröll, Bernhard C. Geiger, Robert Elsässer, Dennis Hoppe:
Towards Accurate Simulation of Global Challenges on Data Centers Infrastructures via Coupling of Models and Data Sources. ICCS (6) 2020: 410-424
2010 – 2019
- 2019
- [c29]Florian Steinbauer, Roman Kern, Mark Kröll:
Chatbots Assisting German Business Management Applications. IEA/AIE 2019: 717-729 - 2018
- [j9]Akim Bassa, Mark Kröll, Roman Kern:
GerIE - An Open Information Extraction System for the German Language. J. Univers. Comput. Sci. 24(1): 2-24 (2018) - [j8]Andi Rexha, Mark Kröll, Hermann Ziak, Roman Kern:
Authorship identification of documents with high content similarity. Scientometrics 115(1): 223-237 (2018) - [c28]Andi Rexha, Mark Kröll, Mauro Dragoni, Roman Kern:
The CLAUSY System at ESWC-2018 Challenge on Semantic Sentiment Analysis. SemWebEval@ESWC 2018: 186-196 - 2017
- [c27]Andi Rexha, Mark Kröll, Hermann Ziak, Roman Kern:
Extending Scientific Literature Search by Including the Author's Writing Style. BIR@ECIR 2017: 93-100 - [c26]Andi Rexha, Mark Kröll, Mauro Dragoni, Roman Kern:
Opinion Mining with a Clause-Based Approach. SemWebEval@ESWC 2017: 166-175 - 2016
- [j7]Yusuke Fukazawa, Mark Kröll, Markus Strohmaier, Jun Ota:
IR based Task-Model Learning: Automating the hierarchical structuring of tasks. Web Intell. 14(1): 31-41 (2016) - [c25]Oliver Pimas, Andi Rexha, Mark Kröll, Roman Kern:
Profiling Microblog Authors using Concreteness and Sentiment - Know-Center at PAN 2016 Author Profiling. CLEF (Working Notes) 2016: 978-983 - [c24]Andi Rexha, Stefan Klampfl, Mark Kröll, Roman Kern:
Towards a More Fine Grained Analysis of Scientific Authorship: Predicting the Number of Authors Using Stylometric Features. BIR@ECIR 2016: 26-31 - [c23]Andi Rexha, Mark Kröll, Mauro Dragoni, Roman Kern:
Exploiting Propositions for Opinion Mining. SemWebEval@ESWC 2016: 121-125 - [c22]Andi Rexha, Mark Kröll, Mauro Dragoni, Roman Kern:
Polarity Classification for Target Phrases in Tweets: A Word2Vec Approach. ESWC (Satellite Events) 2016: 217-223 - [c21]Oliver Pimas, Stefan Klampfl, Thomas Kohl, Roman Kern, Mark Kröll:
Generating Tailored Classification Schemas for German Patents. NLDB 2016: 230-238 - [c20]Florian Steinbauer, Mark Kröll:
Sentiment Analysis for German Facebook Pages. NLDB 2016: 427-432 - [c19]Andi Rexha, Mauro Dragoni, Roman Kern, Mark Kröll:
An Information Retrieval Based Approach for Multilingual Ontology Matching. NLDB 2016: 433-439 - 2015
- [c18]Oliver Pimas, Mark Kröll, Roman Kern:
Know-Center at PAN 2015 Author Identification: Notebook for PAN at CLEF 2015. CLEF (Working Notes) 2015 - [c17]Andi Rexha, Stefan Klampfl, Mark Kröll, Roman Kern:
Towards Authorship Attribution for Bibliometrics using Stylometric Features. CLBib@ISSI 2015: 44-49 - [c16]Mark Kröll, Markus Strohmaier:
Associating Intent with Sentiment in Weblogs. NLDB 2015: 212-219 - [c15]Ralph Wozelka, Mark Kröll, Vedran Sabol:
Exploring Time Relations in Semantic Graphs. SIGRAD 2015: 120:007 - 2014
- [j6]Mark Kröll, Stefan Klampfl, Roman Kern:
Towards a Marketplace for the Scientific Community: Accessing Knowledge from the Computer Science Domain. D Lib Mag. 20(11/12) (2014) - 2013
- [c14]Mark Kröll, Vedran Sabol, Roman Kern, Michael Granitzer:
Integrating User Preferences Into Distance Metrics. LWA 2013: 159-162 - [c13]Bernd Hollerit, Mark Kröll, Markus Strohmaier:
Towards linking buyers and sellers: detecting commercial Intent on twitter. WWW (Companion Volume) 2013: 629-632 - 2012
- [j5]Markus Strohmaier, Mark Kröll:
Acquiring knowledge about human goals from Search Query Logs. Inf. Process. Manag. 48(1): 63-82 (2012) - [j4]Kamran Ali Ahmad Syed, Mark Kröll, Vedran Sabol, Stefan Gindl, Arno Scharl:
Incremental and Scalable Computation of Dynamic Topography Information Landscapes. J. Multim. Process. Technol. 3(1): 49-65 (2012) - [c12]Kamran Ali Ahmad Syed, Mark Kröll, Vedran Sabol, Arno Scharl, Stefan Gindl, Michael Granitzer, Albert Weichselbraun:
Dynamic Topography Information Landscapes - An Incremental Approach to Visual Knowledge Discovery. DaWaK 2012: 352-363 - 2011
- [c11]Mark Kröll, Yusuke Fukazawa, Jun Ota, Markus Strohmaier:
Automatically Constructing Concept Hierarchies of Health-Related Human Goals. KSEM 2011: 124-135
2000 – 2009
- 2009
- [j3]Michael Granitzer, Andreas S. Rath, Mark Kröll, Christin Seifert, Doris Ipsmiller, Didier Devaurs, Nicolas Weber, Stefanie N. Lindstaedt:
Machine Learning based Work Task Classification. J. Digit. Inf. Manag. 7(5): 306-313 (2009) - [j2]Mark Kröll:
WSDM 2009 conference review. SIGWEB Newsl. 2009(Spring): 3:1-3:6 (2009) - [c10]Markus Strohmaier, Mark Kröll, Christian Körner:
Automatically annotating textual resources with human intentions. Hypertext 2009: 355-356 - [c9]Markus Strohmaier, Mark Kröll:
Studying databases of intentions: do search query logs capture knowledge about common human goals? K-CAP 2009: 89-96 - [c8]Mark Kröll, Markus Strohmaier:
Analyzing human intentions in natural language text. K-CAP 2009: 197-198 - [c7]Mark Kröll, Markus Strohmaier:
Extracting Human Goals from Weblogs. LWA 2009: KDML:64-67 - [c6]Markus Strohmaier, Mark Kröll, Christian Körner:
Intentional query suggestion: making user goals more explicit during search. WSCD@WSDM 2009: 68-74 - [p1]Markus Strohmaier, Mark Kröll, Peter Prettenhofer:
Equipping Intelligent Agents with Commonsense Knowledge acquired from Search Query Logs: Results from an Exploratory Story. Data Mining and Multi-agent Integration 2009: 167-176 - 2008
- [c5]Markus Strohmaier, Peter Prettenhofer, Mark Kröll:
Acquiring Explicit User Goals from Search Query Logs. Web Intelligence/IAT Workshops 2008: 602-605 - [c4]Michael Granitzer, Mark Kröll, Christin Seifert, Andreas S. Rath, Nicolas Weber, Olivia Dietzel, Stefanie N. Lindstaedt:
Analysis of machine learning techniques for context extraction. ICDIM 2008: 233-240 - 2007
- [j1]Harald Burgsteiner, Mark Kröll, Alexander Leopold, Gerald Steinbauer:
Movement prediction from real-world images using a liquid state machine. Appl. Intell. 26(2): 99-109 (2007) - 2006
- [c3]Mark Kröll, Andreas S. Rath, Michael Granitzer, Stefanie N. Lindstaedt, Klaus Tochtermann:
Contextual Retrieval in Knowledge Intensive Business Environments. LWA 2006: 115-119 - [c2]Andreas S. Rath, Mark Kröll, Keith Andrews, Stefanie N. Lindstaedt, Michael Granitzer, Klaus Tochtermann:
Synergizing Standard and Ad-Hoc Processes. PAKM 2006: 267-278 - 2005
- [c1]Harald Burgsteiner, Mark Kröll, Alexander Leopold, Gerald Steinbauer:
Movement Prediction from Real-World Images Using a Liquid State Machine. IEA/AIE 2005: 121-130
Coauthor Index
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last updated on 2024-10-07 02:39 CEST by the dblp team
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