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Journal Articles
- 2024
[j33]David Cemernek
, Shafaq Siddiqi, Roman Kern:
Effects of Class Imbalance Countermeasures on Interpretability. IEEE Access 12: 45342-45358 (2024)- [j32]Markus Kattnig, Alessa Angerschmid, Thomas Reichel, Roman Kern:
Assessing trustworthy AI: Technical and legal perspectives of fairness in AI. Comput. Law Secur. Rev. 55: 106053 (2024) - [j31]Asha Choudhary, Matej Vukovic, Belgin Mutlu, Michael Haslgrübler, Roman Kern:
Interpretability of Causal Discovery in Tracking Deterioration in a Highly Dynamic Process. Sensors 24(12): 3728 (2024) - 2023
- [j30]Shafaq Siddiqi, Faiza Qureshi, Stefanie N. Lindstaedt, Roman Kern:
Detecting Outliers in Non-IID Data: A Systematic Literature Review. IEEE Access 11: 70333-70352 (2023) - [j29]Houssam Razouk, Xinglan Liu, Roman Kern:
Improving FMEA Comprehensibility via Common-Sense Knowledge Graph Completion Techniques. IEEE Access 11: 127974-127986 (2023) - [j28]Samuel Sousa, Roman Kern:
How to keep text private? A systematic review of deep learning methods for privacy-preserving natural language processing. Artif. Intell. Rev. 56(2): 1427-1492 (2023) - [j27]Philipp Gabler, Bernhard C. Geiger, Barbara Schuppler, Roman Kern:
Reconsidering Read and Spontaneous Speech: Causal Perspectives on the Generation of Training Data for Automatic Speech Recognition. Inf. 14(2): 137 (2023) - [j26]Shafaq Siddiqi, Roman Kern, Matthias Boehm:
SAGA: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications. Proc. ACM Manag. Data 1(3): 218:1-218:26 (2023) - [j25]Luca Malinverno, Vesna Barros, Francesco Ghisoni, Giovanni Visonà, Roman Kern, Philip J. Nickel, Barbara Elvira Ventura, Ilija Simic, Sarah Stryeck, Francesca Manni, César Ferri, Claire Jean-Quartier, Laura Genga, Gabriele Beate Schweikert, Mario Lovric, Michal Rosen-Zvi:
A historical perspective of biomedical explainable AI research. Patterns 4(9): 100830 (2023) - [j24]Georgios Koutroulis, Belgin Mutlu, Roman Kern:
A Causality-Inspired Approach for Anomaly Detection in a Water Treatment Testbed. Sensors 23(1): 257 (2023) - [j23]Maximilian Toller, Bernhard C. Geiger, Roman Kern:
Cluster Purging: Efficient Outlier Detection Based on Rate-Distortion Theory. IEEE Trans. Knowl. Data Eng. 35(2): 1270-1282 (2023) - 2022
- [j22]Joscha Eirich, Georgios Koutroulis, Belgin Mutlu, Dominik Jäckle, Roman Kern, Tobias Schreck, Jürgen Bernard:
ManEx: The Visual Analysis of Measurements for the Assessment of Errors in Electrical Engines. IEEE Computer Graphics and Applications 42(2): 68-80 (2022) - [j21]Georgios Koutroulis, Belgin Mutlu, Roman Kern:
Constructing robust health indicators from complex engineered systems via anticausal learning. Eng. Appl. Artif. Intell. 113: 104926 (2022) - [j20]David Cemernek, Sandra Cemernek, Heimo Gursch, Ashwini Pandeshwar, Thomas Leitner, Matthias Berger, Gerald Klösch, Roman Kern:
Machine learning in continuous casting of steel: a state-of-the-art survey. J. Intell. Manuf. 33(6): 1561-1579 (2022) - 2021
- [j19]Hussain Hussain, Tomislav Duricic, Elisabeth Lex, Denis Helic, Roman Kern:
The interplay between communities and homophily in semi-supervised classification using graph neural networks. Appl. Netw. Sci. 6(1): 80 (2021) - [j18]Jan Egger, Antonio Pepe, Christina Gsaxner, Yuan Jin, Jianning Li, Roman Kern:
Deep learning - a first meta-survey of selected reviews across scientific disciplines, their commonalities, challenges and research impact. PeerJ Comput. Sci. 7: e773 (2021) - [j17]Georgios Koutroulis, Leo Botler, Belgin Mutlu, Konrad Diwold, Kay Römer, Roman Kern:
KOMPOS: Connecting Causal Knots in Large Nonlinear Time Series with Non-Parametric Regression Splines. ACM Trans. Intell. Syst. Technol. 12(5): 66:1-66:27 (2021) - 2020
- [j16]Mario Lovric, Richard Meister, Thomas Steck, Leon Fadljevic, Johann Gerdenitsch, Stefan Schuster, Lukas Schiefermüller, Stefanie N. Lindstaedt, Roman Kern:
Parasitic resistance as a predictor of faulty anodes in electro galvanizing: a comparison of machine learning, physical and hybrid models. Adv. Model. Simul. Eng. Sci. 7(1): 46 (2020) - 2019
- [j15]Maximilian Toller, Tiago Santos, Roman Kern:
SAZED: parameter-free domain-agnostic season length estimation in time series data. Data Min. Knowl. Discov. 33(6): 1775-1798 (2019) - [j14]Tiago Santos, Simon Walk, Roman Kern, Markus Strohmaier, Denis Helic:
Activity Archetypes in Question-and-Answer (Q8A) Websites - A Study of 50 Stack Exchange Instances. ACM Trans. Soc. Comput. 2(1): 4:1-4:23 (2019) - 2018
- [j13]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) - [j12]Andi Rexha, Mark Kröll, Hermann Ziak, Roman Kern:
Authorship identification of documents with high content similarity. Scientometrics 115(1): 223-237 (2018) - 2015
- [j11]Matthias Frey, Roman Kern:
Efficient Table Annotation for Digital Articles. D Lib Mag. 21(11/12) (2015) - 2014
- [j10]Stefan Klampfl, Kris Jack, Roman Kern:
A Comparison of Two Unsupervised Table Recognition Methods from Digital Scientific Articles. D Lib Mag. 20(11/12) (2014) - [j9]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) - [j8]Stefan Klampfl, Michael Granitzer, Kris Jack, Roman Kern:
Unsupervised document structure analysis of digital scientific articles. Int. J. Digit. Libr. 14(3-4): 83-99 (2014) - 2013
- [j7]Roman Kern, Stefan Klampfl:
Extraction of References Using Layout and Formatting Information from Scientific Articles. D Lib Mag. 19(9/10) (2013) - [j6]Christin Seifert, Eva Ulbrich, Roman Kern, Michael Granitzer:
Text Representation for Efficient Document Annotation. J. Univers. Comput. Sci. 19(3): 383-405 (2013) - 2012
- [j5]Roman Kern, Kris Jack, Maya Hristakeva, Michael Granitzer:
TeamBeam - Meta-Data Extraction from Scientific Literature. D Lib Mag. 18(7/8) (2012) - [j4]Markus Strohmaier, Denis Helic, Dominik Benz, Christian Körner, Roman Kern:
Evaluation of Folksonomy Induction Algorithms. ACM Trans. Intell. Syst. Technol. 3(4): 74:1-74:22 (2012) - [j3]Markus Strohmaier, Christian Körner, Roman Kern:
Understanding why users tag: A survey of tagging motivation literature and results from an empirical study. J. Web Semant. 17: 1-11 (2012) - 2010
- [j2]Roman Kern, Christin Seifert, Michael Granitzer:
A hybrid system for German encyclopedia alignment. Int. J. Digit. Libr. 11(2): 75-89 (2010) - 2009
- [j1]Andreas Juffinger, Thomas Neidhart, Michael Granitzer, Roman Kern, Albert Weichselbraun, Gerhard Wohlgenannt, Arno Scharl:
Distributed Web 2.0 Crawling for Ontology Evolution. J. Digit. Inf. Manag. 7(2): 114-119 (2009)
Conference and Workshop Papers
- 2024
- [c88]Gerda Langer, Thomas Hirsch, Roman Kern, Theresa Kohl, Gerald Schweiger:
Large Language Models for Fault Detection in Buildings' HVAC Systems. EI.A (2) 2024: 49-60 - [c87]Alex Ghiriti, Wolfgang Göderle, Roman Kern:
Exploring the Capabilities of GPT4-Vision as OCR Engine. TPDL (2) 2024: 3-12 - 2023
- [c86]Benjamin Gigerl, Yang Zhao, Johann Raminger, Jupiter Bakakeu, Roman Kern, Stefan Thalmann:
Predicting Partial Discharges of Transformers: Decision Support System for Factory Acceptance Test. IEEM 2023: 1687-1691 - 2022
- [c85]Patrick Damme, Marius Birkenbach, Constantinos Bitsakos, Matthias Boehm, Philippe Bonnet, Florina M. Ciorba, Mark Dokter, Pawel Dowgiallo, Ahmed Eleliemy, Christian Faerber, Georgios I. Goumas, Dirk Habich, Niclas Hedam, Marlies Hofer, Wenjun Huang, Kevin Innerebner, Vasileios Karakostas, Roman Kern, Tomaz Kosar, Alexander Krause, Daniel Krems, Andreas Laber, Wolfgang Lehner, Eric Mier, Marcus Paradies, Bernhard Peischl, Gabrielle Poerwawinata, Stratos Psomadakis, Tilmann Rabl, Piotr Ratuszniak, Pedro Silva, Nikolai Skuppin, Andreas Starzacher, Benjamin Steinwender, Ilin Tolovski, Pinar Tözün, Wojciech Ulatowski, Yuanyuan Wang, Izajasz P. Wrosz, Ales Zamuda, Ce Zhang, Xiaoxiang Zhu:
DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines. CIDR 2022 - [c84]Hussain Hussain, Meng Cao, Sandipan Sikdar, Denis Helic, Elisabeth Lex, Markus Strohmaier, Roman Kern:
Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural Networks. ICDM 2022: 975-980 - [c83]Michael Jantscher, Roman Kern:
Causal Investigation of Public Opinion during the COVID-19 Pandemic via Social Media Text. LREC 2022: 211-226 - [c82]Eileen Salhofer, Xinglan Liu, Roman Kern:
Impact of Training Instance Selection on Domain-Specific Entity Extraction using BERT. NAACL-HLT (Student Research Workshop) 2022: 83-88 - [c81]Xinglan Liu, Hussain Hussain, Houssam Razouk, Roman Kern:
Effective use of BERT in graph embeddings for sparse knowledge graph completion. SAC 2022: 799-802 - 2021
- [c80]Hussain Hussain, Tomislav Duricic, Elisabeth Lex, Denis Helic, Markus Strohmaier, Roman Kern:
Structack: Structure-based Adversarial Attacks on Graph Neural Networks. HT 2021: 111-120 - [c79]Heimo Gursch, Harald Ganster, Alfred Rinnhofer, Georg Waltner, Christian Payer, Christian Oberwinkler, Reinhard Meisenbichler, Roman Kern:
KI-Waste - Combining Image Recognition and Time Series Analysis in Refuse Sorting. MuC (Workshopband) 2021 - 2020
- [c78]Hussain Hussain, Tomislav Duricic, Elisabeth Lex, Roman Kern, Denis Helic:
On the Impact of Communities on Semi-supervised Classification Using Graph Neural Networks. COMPLEX NETWORKS (2) 2020: 15-26 - [c77]Georgios Koutroulis, Tiago Santos, Michael Wiedemann, Christian Faistauer, Roman Kern, Stefan Thalmann:
Enhanced Active Learning of Convolutional Neural Networks: A Case Study for Defect Classification in the Semiconductor Industry. KDIR 2020: 269-276 - [c76]Andi Rexha, Mauro Dragoni, Roman Kern:
A Neural-based Architecture For Small Datasets Classification. JCDL 2020: 319-327 - [c75]Stefan Schrunner, Bernhard C. Geiger, Anja Zernig, Roman Kern:
A generative semi-supervised classifier for datasets with unknown classes. SAC 2020: 1066-1074 - 2019
- [c74]Florian Steinbauer, Roman Kern, Mark Kröll:
Chatbots Assisting German Business Management Applications. IEA/AIE 2019: 717-729 - [c73]Heimo Gursch, David Cemernek, Andreas Wuttei, Roman Kern:
Cyber-Physical Systems as Enablers in Manufacturing Communication andWorker Support. MuC (Workshopband) 2019 - [c72]Kevin Winter, Roman Kern:
Know-Center at SemEval-2019 Task 5: Multilingual Hate Speech Detection on Twitter using CNNs. SemEval@NAACL-HLT 2019: 431-435 - [c71]Stefan Schrunner, Anna Jenul, Michael Scheiber, Anja Zernig, Andre Kästner, Roman Kern:
A Health Factor for Process Patterns Enhancing Semiconductor Manufacturing by Pattern Recognition in Analog Wafermaps. SMC 2019: 3555-3560 - [c70]Tiago Santos, Simon Walk, Roman Kern, Markus Strohmaier, Denis Helic:
Self- and Cross-Excitation in Stack Exchange Question & Answer Communities. WWW 2019: 1634-1645 - 2018
- [c69]Tiago Santos, Roman Kern:
Understanding wafer patterns in semiconductor production with variational auto-encoders. ESANN 2018 - [c68]Andi Rexha, Mark Kröll, Mauro Dragoni, Roman Kern:
The CLAUSY System at ESWC-2018 Challenge on Semantic Sentiment Analysis. SemWebEval@ESWC 2018: 186-196 - [c67]Stefan Schrunner, Olivia Bluder, Anja Zernig, Andre Kästner, Roman Kern:
A Comparison of Supervised Approaches for Process Pattern Recognition in Analog Semiconductor Wafer Test Data. ICMLA 2018: 820-823 - [c66]Heimo Gursch, Nelson Silva, Bernhard Reiterer, Lucas Paletta, Patrick Bernauer, Martin Fuchs, Eduardo E. Veas, Roman Kern:
Flexible Scheduling for Human Robot Collaboration in Intralogistics Teams. MuC (Workshopband) 2018 - [c65]Darko Stanisavljevic, Manfred Rosenberger, Gernot Lechner, Stefan Körner, Roman Kern, Bernd Jeitler, Alexander Stocker:
Ein Industrie 4.0-Use Case in der Motorenproduktion. MuC (Workshopband) 2018 - [c64]Bohdan Andrusyak, Mykhailo Rimel, Roman Kern:
Detection of Abusive Speech for Mixed Sociolects of Russian and Ukrainian Languages. RASLAN 2018: 77-84 - [c63]Günter Urak, Hermann Ziak, Roman Kern:
Source selection of long tail sources for federated search in an uncooperative setting. SAC 2018: 720-727 - 2017
- [c62]Hermann Ziak, Roman Kern:
Evaluation of Contextualization and Diversification Approaches in Aggregated Search. DEXA Workshops 2017: 103-107 - [c61]Andi Rexha, Mark Kröll, Hermann Ziak, Roman Kern:
Extending Scientific Literature Search by Including the Author's Writing Style. BIR@ECIR 2017: 93-100 - [c60]Andi Rexha, Mark Kröll, Mauro Dragoni, Roman Kern:
Opinion Mining with a Clause-Based Approach. SemWebEval@ESWC 2017: 166-175 - [c59]David Cemernek, Heimo Gursch, Roman Kern:
Big data as a promoter of industry 4.0: Lessons of the semiconductor industry. INDIN 2017: 239-244 - [c58]Stefan Schrunner, Olivia Bluder, Anja Zernig, Andre Kästner, Roman Kern:
Markov random fields for pattern extraction in analog wafer test data. IPTA 2017: 1-6 - [c57]Heimo Gursch, David Cemernek, Roman Kern:
Multi-Loop Feedback Hierarchy Involving Human Workers in Manufacturing Processes. MuC (Workshopband) 2017 - [c56]Mauro Dragoni, Andi Rexha, Hermann Ziak, Roman Kern:
A semantic federated search engine for domain-specific document retrieval. SAC 2017: 303-308 - [c55]Roman Kern, Stefan Falk, Andi Rexha:
Know-Center at SemEval-2017 Task 10: Sequence Classification with the CODE Annotator. SemEval@ACL 2017: 961-964 - [c54]Thomas Felber, Roman Kern:
Graz University of Technology at CL-SciSumm 2017: Query Generation Strategies. BIRNDL@SIGIR (2) 2017: 67-72 - 2016
- [c53]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 - [c52]Hermann Ziak, Roman Kern:
KNOW At The Social Book Search Lab 2016 Suggestion Track. CLEF (Working Notes) 2016: 1183-1189 - [c51]Hermann Ziak, Andi Rexha, Roman Kern:
KNOW At The Social Book Search Lab 2016 Mining Track. CLEF (Working Notes) 2016: 1190-1196 - [c50]Hermann Ziak, Roman Kern:
Query Splitting for Context-Driven Federated Recommendations. DEXA Workshops 2016: 193-197 - [c49]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 - [c48]Günter Urak, Hermann Ziak, Roman Kern:
Do Ambiguous Words Improve Probing for Federated Search? TPDL 2016: 438-441 - [c47]Andi Rexha, Mark Kröll, Mauro Dragoni, Roman Kern:
Exploiting Propositions for Opinion Mining. SemWebEval@ESWC 2016: 121-125 - [c46]Andi Rexha, Mark Kröll, Mauro Dragoni, Roman Kern:
Polarity Classification for Target Phrases in Tweets: A Word2Vec Approach. ESWC (Satellite Events) 2016: 217-223 - [c45]Stefan Klampfl, Roman Kern:
Reconstructing the Logical Structure of a Scientific Publication Using Machine Learning. SemWebEval@ESWC 2016: 255-268 - [c44]Tiago Santos, Roman Kern:
A Literature Survey of Early Time Series Classification and Deep Learning. SAMI@iKNOW 2016 - [c43]Stefan Klampfl, Andi Rexha, Roman Kern:
Identifying Referenced Text in Scientific Publications by Summarisation and Classification Techniques. BIRNDL@JCDL 2016: 122-131 - [c42]Heimo Gursch, Stefan Körner, Hannes Krasser, Roman Kern:
Parameter Forecasting for Vehicle Paint Quality Optimisation. MuC (Workshopband) 2016 - [c41]Oliver Pimas, Stefan Klampfl, Thomas Kohl, Roman Kern, Mark Kröll:
Generating Tailored Classification Schemas for German Patents. NLDB 2016: 230-238 - [c40]Andi Rexha, Mauro Dragoni, Roman Kern, Mark Kröll:
An Information Retrieval Based Approach for Multilingual Ontology Matching. NLDB 2016: 433-439 - [c39]Stefan Falk, Andi Rexha, Roman Kern:
Know-Center at SemEval-2016 Task 5: Using Word Vectors with Typed Dependencies for Opinion Target Expression Extraction. SemEval@NAACL-HLT 2016: 266-270 - 2015
- [c38]Christopher Horn, Roman Kern:
Deriving Public Transportation Timetables with Large-Scale Cell Phone Data. ANT/SEIT 2015: 67-74 - [c37]Oliver Pimas, Mark Kröll, Roman Kern:
Know-Center at PAN 2015 Author Identification: Notebook for PAN at CLEF 2015. CLEF (Working Notes) 2015 - [c36]Hermann Ziak, Roman Kern:
Evaluation of Pseudo Relevance Feedback Techniques for Cross Vertical Aggregated Search. CLEF 2015: 91-102 - [c35]Raoul Rubien, Hermann Ziak, Roman Kern:
Efficient Search Result Diversification via Query Expansion Using Knowledge Bases. DEXA Workshops 2015: 286-290 - [c34]Stefan Klampfl, Roman Kern:
Machine Learning Techniques for Automatically Extracting Contextual Information from Scientific Publications. SemWebEval@ESWC 2015: 105-116 - [c33]Andi Rexha, Stefan Klampfl, Mark Kröll, Roman Kern:
Towards Authorship Attribution for Bibliometrics using Stylometric Features. CLBib@ISSI 2015: 44-49 - [c32]Gunnar Schulze, Christopher Horn, Roman Kern:
Map-Matching Cell Phone Trajectories of Low Spatial and Temporal Accuracy. ITSC 2015: 2707-2714 - [c31]Heimo Gursch, Hermann Ziak, Roman Kern:
Unified Information Access for Knowledge Workers via a Federated Recommender System. MuC (Workshopband) 2015: 255-260 - 2014
- [c30]Kris Jack, Pablo López-García, Maya Hristakeva, Roman Kern:
{{citation needed}}: Filling in Wikipedia's Citation Shaped Holes. BIR@ECIR 2014: 45-52 - [c29]Alexander Stocker, Markus Zoier, Selver Softic, Stefan Paschke, Heimo Bischofter, Roman Kern:
Is enterprise search useful at all?: lessons learned from studying user behavior. I-KNOW 2014: 22:1-22:8 - [c28]Pablo López-García, Stefan Schulz, Roman Kern:
Automatic Summarization for Terminology Recommendation: The Case of the NCBO Ontology Recommender. SWAT4LS 2014 - 2013
- [c27]Roman Kern:
Grammar Checker Features for Author Identification and Author Profiling Notebook for PAN at CLEF 2013. CLEF (Working Notes) 2013 - [c26]Stefan Klampfl, Roman Kern:
An Unsupervised Machine Learning Approach to Body Text and Table of Contents Extraction from Digital Scientific Articles. TPDL 2013: 144-155 - [c25]Mark Kröll, Vedran Sabol, Roman Kern, Michael Granitzer:
Integrating User Preferences Into Distance Metrics. LWA 2013: 159-162 - [c24]Christopher Horn, Alisa Zhila, Alexander F. Gelbukh, Roman Kern, Elisabeth Lex:
Using Factual Density to Measure Informativeness of Web Documents. NODALIDA 2013: 227-238 - [c23]Christin Seifert, Michael Granitzer, Patrick Höfler, Belgin Mutlu, Vedran Sabol, Kai Schlegel, Sebastian Bayerl, Florian Stegmaier, Stefan Zwicklbauer, Roman Kern:
Crowdsourcing Fact Extraction from Scientific Literature. CHI-KDD 2013: 160-172 - [c22]Hermann Ziak, Roman Kern:
KnCe2013-CORE: Semantic Text Similarity by use of Knowledge Bases. *SEM@NAACL-HLT 2013: 138-142 - 2012
- [c21]Roman Kern, Stefan Klampfl, Mario Zechner:
Vote/Veto Classification, Ensemble Clustering and Sequence Classification for Author Identification. CLEF (Online Working Notes/Labs/Workshop) 2012 - [c20]Florian Stegmaier, Christin Seifert, Roman Kern, Patrick Höfler, Sebastian Bayerl, Michael Granitzer, Harald Kosch, Stefanie N. Lindstaedt, Belgin Mutlu, Vedran Sabol, Kai Schlegel, Stefan Zwicklbauer:
Unleashing Semantics of Research Data. WBDB 2012: 103-112 - [c19]Michael Granitzer, Maya Hristakeva, Robert Knight, Kris Jack, Roman Kern:
A comparison of layout based bibliographic metadata extraction techniques. WIMS 2012: 19:1-19:8 - 2011
- [c18]Roman Kern, Christin Seifert, Mario Zechner, Michael Granitzer:
Vote/Veto Meta-Classifier for Authorship Identification - Notebook for PAN at CLEF 2011. CLEF (Notebook Papers/Labs/Workshop) 2011 - [c17]Roman Kern, Mario Zechner, Michael Granitzer:
Model Selection Strategies for Author Disambiguation. DEXA Workshops 2011: 155-159 - 2010
- [c16]Markus Muhr, Roman Kern, Mario Zechner, Michael Granitzer:
External and Intrinsic Plagiarism Detection Using a Cross-Lingual Retrieval and Segmentation System - Lab Report for PAN at CLEF 2010. CLEF (Notebook Papers/LABs/Workshops) 2010 - [c15]Roman Kern, Michael Granitzer:
German Encyclopedia Alignment Based on Information Retrieval Techniques. ECDL 2010: 315-326 - [c14]Roman Kern, Christian Körner, Markus Strohmaier:
Exploring the Influence of Tagging Motivation on Tagging Behavior. ECDL 2010: 461-465 - [c13]Christian Körner, Roman Kern, Hans-Peter Grahsl, Markus Strohmaier:
Of categorizers and describers: an evaluation of quantitative measures for tagging motivation. HT 2010: 157-166 - [c12]Markus Strohmaier, Christian Körner, Roman Kern:
Why do Users Tag? Detecting Users' Motivation for Tagging in Social Tagging Systems. ICWSM 2010 - [c11]Roman Kern, Markus Muhr, Michael Granitzer:
KCDC: Word Sense Induction by Using Grammatical Dependencies and Sentence Phrase Structure. SemEval@ACL 2010: 351-354 - [c10]Markus Muhr, Roman Kern, Michael Granitzer:
Analysis of structural relationships for hierarchical cluster labeling. SIGIR 2010: 178-185 - 2009
- [c9]Roman Kern, Andreas Juffinger, Michael Granitzer:
Evaluation of Axiomatic Approaches to Crosslanguage Retrieval. CLEF (1) 2009: 142-149 - [c8]Roman Kern, Andreas Juffinger, Michael Granitzer:
Application of Axiomatic Approaches to Crosslanguage Retrieval. CLEF (Working Notes) 2009 - [c7]Roman Kern, Michael Granitzer:
Efficient linear text segmentation based on information retrieval techniques. MEDES 2009: 167-171 - 2008
- [c6]Andreas Juffinger, Roman Kern, Michael Granitzer:
Crosslanguage Retrieval Based on Wikipedia Statistics. CLEF 2008: 155-162 - [c5]Andreas Juffinger, Roman Kern, Michael Granitzer:
Exploiting Cooccurrence on Corpus and Document Level for Fair Crosslanguage Retrieval. CLEF (Working Notes) 2008 - [c4]Stefanie N. Lindstaedt, Viktoria Pammer, Roland Mörzinger, Roman Kern, Helmut Mülner, Claudia Wagner:
Recommending Tags for Pictures Based on Text, Visual Content and User Context. ICIW 2008: 506-511 - [c3]Roman Kern, Michael Granitzer, Viktoria Pammer:
Extending Folksonomies for Image Tagging. WIAMIS 2008: 126-129 - 2007
- [c2]Mathias Lux, Michael Granitzer, Roman Kern:
Aspects of Broad Folksonomies. DEXA Workshops 2007: 283-287 - [c1]Andreas Juffinger, Thomas Neidhart, Albert Weichselbraun, Gerhard Wohlgenannt, Michael Granitzer, Roman Kern, Arno Scharl:
Distributed Web2.0 crawling for ontology evolution. ICDIM 2007: 615-620
Parts in Books or Collections
- 2009
- [p1]Peter Scheir, Chiara Ghidini, Roman Kern, Michael Granitzer, Stefanie N. Lindstaedt:
ARS/SD: An Associative Retrieval Service for the Semantic Desktop. Networked Knowledge - Networked Media - Integrating Knowledge Management 2009: 95-111
Editorship
- 2017
- [e1]Roman Kern, Gerald Reiner, Olivia Bluder:
Proceedings of the 1st International Workshop on Science, Application and Methods in Industry 4.0 co-located with (i-KNOW 2016), Graz, Austria, October 19, 2016. CEUR Workshop Proceedings 1793, CEUR-WS.org 2017 [contents]
Informal and Other Publications
- 2024
- [i22]David Fleischhacker, Wolfgang Göderle, Roman Kern:
Improving OCR Quality in 19th Century Historical Documents Using a Combined Machine Learning Based Approach. CoRR abs/2401.07787 (2024) - [i21]Meng Cao, Hussain Hussain, Sandipan Sikdar, Denis Helic, Markus Strohmaier, Roman Kern:
Recommendation Fairness in Social Networks Over Time. CoRR abs/2402.03450 (2024) - [i20]Georg Niess, Roman Kern:
Stylometric Watermarks for Large Language Models. CoRR abs/2405.08400 (2024) - [i19]Maximilian Toller, Hussain Hussain, Roman Kern, Bernhard C. Geiger:
Constraining Anomaly Detection with Anomaly-Free Regions. CoRR abs/2409.20208 (2024) - 2023
- [i18]Maximilian B. Toller, Bernhard C. Geiger, Roman Kern:
Cluster Purging: Efficient Outlier Detection based on Rate-Distortion Theory. CoRR abs/2302.11234 (2023) - [i17]Lea Demelius, Roman Kern, Andreas Trügler:
Recent Advances of Differential Privacy in Centralized Deep Learning: A Systematic Survey. CoRR abs/2309.16398 (2023) - 2022
- [i16]Samuel Sousa, Roman Kern:
How to keep text private? A systematic review of deep learning methods for privacy-preserving natural language processing. CoRR abs/2205.10095 (2022) - [i15]Hussain Hussain, Meng Cao, Sandipan Sikdar, Denis Helic, Elisabeth Lex, Markus Strohmaier, Roman Kern:
Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural Networks. CoRR abs/2209.05957 (2022) - [i14]Samuel Sousa, Roman Kern:
How to keep text private? A systematic review of deep learning methods for privacy-preserving natural language processing. IACR Cryptol. ePrint Arch. 2022: 580 (2022) - 2021
- [i13]Stefan Schrunner, Michael Scheiber, Anna Jenul, Anja Zernig, Andre Kästner, Roman Kern:
Machine Learning based Indicators to Enhance Process Monitoring by Pattern Recognition. CoRR abs/2103.13058 (2021) - [i12]Adrian Remonda, Sarah Krebs, Eduardo E. Veas, Granit Luzhnica, Roman Kern:
Formula RL: Deep Reinforcement Learning for Autonomous Racing using Telemetry Data. CoRR abs/2104.11106 (2021) - [i11]Hussain Hussain, Tomislav Duricic, Elisabeth Lex, Denis Helic, Markus Strohmaier, Roman Kern:
Structack: Structure-based Adversarial Attacks on Graph Neural Networks. CoRR abs/2107.11327 (2021) - [i10]Patrick Ofner, Roman Kern:
State-Space Constraints Improve the Generalization of the Differentiable Neural Computer in some Algorithmic Tasks. CoRR abs/2110.09138 (2021) - [i9]Samuel Sousa, Christian Guetl, Roman Kern:
Privacy in Open Search: A Review of Challenges and Solutions. CoRR abs/2110.10720 (2021) - 2020
- [i8]Maximilian Toller, Bernhard C. Geiger, Roman Kern:
A Formally Robust Time Series Distance Metric. CoRR abs/2008.07865 (2020) - [i7]Nikolaos Nikolaou, Ingo P. Waldmann, Angelos Tsiaras, Mario Morvan, Billy Edwards, Kai Hou Yip, Giovanna Tinetti, Subhajit Sarkar, James M. Dawson, Vadim Borisov, Gjergji Kasneci, Matej Petkovic, Tomaz Stepisnik, Tarek Al-Ubaidi, Rachel Louise Bailey, Michael Granitzer, Sahib Julka, Roman Kern, Patrick Ofner, Stefan Wagner, Lukas Heppe, Mirko Bunse, Katharina Morik:
Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots. CoRR abs/2010.15996 (2020) - [i6]Hussain Hussain, Tomislav Duricic, Elisabeth Lex, Roman Kern, Denis Helic:
On the Impact of Communities on Semi-supervised Classification Using Graph Neural Networks. CoRR abs/2010.16245 (2020) - 2019
- [i5]Dominik Kowald, Matthias Traub, Dieter Theiler, Heimo Gursch, Emanuel Lacic, Stefanie N. Lindstaedt, Roman Kern, Elisabeth Lex:
Using the Open Meta Kaggle Dataset to Evaluate Tripartite Recommendations in Data Markets. CoRR abs/1908.04017 (2019) - [i4]Maximilian Toller, Roman Kern:
Robust Parameter-Free Season Length Detection in Time Series. CoRR abs/1911.06015 (2019) - 2017
- [i3]Tiago Santos, Simon Walk, Roman Kern, Markus Strohmaier, Denis Helic:
Activity in Questions & Answers Websites. CoRR abs/1709.05111 (2017) - 2016
- [i2]Belgin Mutlu, Vedran Sabol, Heimo Gursch, Roman Kern:
From Data to Visualisations and Back: Selecting Visualisations Based on Data and System Design Considerations. CoRR abs/1609.05641 (2016) - 2014
- [i1]Roman Kern, Kris Jack, Michael Granitzer:
Recommending Scientific Literature: Comparing Use-Cases and Algorithms. CoRR abs/1409.1357 (2014)
Coauthor Index
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