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ORCIDMichael Granitzer
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- affiliation: University of Passau, Faculty of Computer Science and Mathematics, Germany
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2020 – today
- 2022
[j28]Kanishka Ghosh Dastidar
, Johannes Jurgovsky, Wissam Siblini, Michael Granitzer:
NAG: neural feature aggregation framework for credit card fraud detection. Knowl. Inf. Syst. 64(3): 831-858 (2022)- [j27]Julian Stier, Michael Granitzer:
deepstruct - linking deep learning and graph theory. Softw. Impacts 11: 100193 (2022) - [c147]Saber Zerhoudi, Michael Granitzer, Christin Seifert, Joerg Schloetterer:
Evaluating Simulated User Interaction and Search Behaviour. ECIR (2) 2022: 240-247 - [i24]Van Bach Nguyen, Kanishka Ghosh Dastidar, Michael Granitzer, Wissam Siblini:
The Importance of Future Information in Credit Card Fraud Detection. CoRR abs/2204.05265 (2022) - 2021
- [j26]Clemens Havas, Lorenz Wendlinger, Julian Stier, Sahib Julka, Veronika Krieger, Cornelia Ferner, Andreas Petutschnig, Michael Granitzer, Stefan Wegenkittl, Bernd Resch:
Spatio-Temporal Machine Learning Analysis of Social Media Data and Refugee Movement Statistics. ISPRS Int. J. Geo Inf. 10(8): 498 (2021) - [j25]Timo Spinde, Lada Rudnitckaia, Jelena Mitrovic, Felix Hamborg, Michael Granitzer, Bela Gipp, Karsten Donnay:
Automated identification of bias inducing words in news articles using linguistic and context-oriented features. Inf. Process. Manag. 58(3): 102505 (2021) - [c146]Lorenz Wendlinger, Julian Stier, Michael Granitzer:
Evofficient: Reproducing a Cartesian Genetic Programming Method. EuroGP 2021: 162-178 - [c145]Saber Zerhoudi, Michael Granitzer, Jörg Schlötterer, Christin Seifert:
Query Change as a Contextual Markov Model for Simulating User Search Behaviour. FIRE 2021: 43-51 - [c144]Tobias Milz, Michael Granitzer, Jelena Mitrovic:
Analysis of a German Legal Citation Network. KDIR 2021: 147-154 - [c143]Stefanie Urchs, Jelena Mitrovic, Michael Granitzer:
Design and Implementation of German Legal Decision Corpora. ICAART (2) 2021: 515-521 - [c142]Julian Stier, Michael Granitzer:
DeepGG: A Deep Graph Generator. IDA 2021: 313-324 - [c141]Mehdi Ben Amor, Julian Stier, Michael Granitzer:
Correlation Analysis between the Robustness of Sparse Neural Networks and their Random Hidden Structural Priors. KES 2021: 4073-4082 - [c140]Julian Stier, Harshil Darji, Michael Granitzer:
Experiments on Properties of Hidden Structures of Sparse Neural Networks. LOD 2021: 380-394 - [c139]Sahib Julka, Vishal Sowrirajan, Joerg Schloetterer, Michael Granitzer:
Conditional Generative Adversarial Networks for Speed Control in Trajectory Simulation. LOD 2021: 436-450 - [c138]Lorenz Wendlinger, Emanuel Berndl, Michael Granitzer:
Methods for Automatic Machine-Learning Workflow Analysis. ECML/PKDD (5) 2021: 52-67 - [i23]Sahib Julka, Vishal Sowrirajan, Jörg Schlötterer, Michael Granitzer:
Conditional Generative Adversarial Networks for Speed Control in Trajectory Simulation. CoRR abs/2103.11471 (2021) - [i22]Mehdi Ben Amor, Julian Stier, Michael Granitzer:
Correlation Analysis between the Robustness of Sparse Neural Networks and their Random Hidden Structural Priors. CoRR abs/2107.06158 (2021) - [i21]Julian Stier, Harshil Darji, Michael Granitzer:
Experiments on Properties of Hidden Structures of Sparse Neural Networks. CoRR abs/2107.12917 (2021) - [i20]Julian Stier, Michael Granitzer:
deepstruct - linking deep learning and graph theory. CoRR abs/2111.06679 (2021) - 2020
- [j24]Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Liyun He-Guelton, Olivier Caelen, Michael Granitzer, Sylvie Calabretto:
Towards automated feature engineering for credit card fraud detection using multi-perspective HMMs. Future Gener. Comput. Syst. 102: 393-402 (2020) - [j23]Jörg Schlötterer, Christin Seifert, Christopher Satchell, Michael Granitzer:
QueryCrumbs search query history visualization - Usability, transparency and long-term usage. J. Comput. Lang. 57: 100941 (2020) - [c137]Stefanie Urchs, Jelena Mitrovic, Michael Granitzer:
Towards Classifying Parts of German Legal Writing Styles in German Legal Judgments. ACIT 2020: 451-454 - [c136]Fatemeh Salehi Rizi, Michael Granitzer:
Multi-task Network Embedding with Adaptive Loss Weighting. ASONAM 2020: 1-5 - [c135]Saber Zerhoudi, Michael Granitzer, Mathieu Garchery:
Improving Intrusion Detection Systems using Zero-Shot Recognition via Graph Embeddings. COMPSAC 2020: 790-797 - [c134]Fabian Schliski, Jörg Schlötterer, Michael Granitzer:
Influence of Random Walk Parametrization on Graph Embeddings. ECIR (2) 2020: 58-65 - [c133]Jelena Mitrovic, Cliff O'Reilly, Randy Allen Harris, Michael Granitzer:
Cognitive Modeling in Computational Rhetoric: Litotes, Containment and the Unexcluded Middle. ICAART (2) 2020: 806-813 - [c132]Kanishka Ghosh Dastidar, Johannes Jurgovsky, Wissam Siblini, Liyun He-Guelton, Michael Granitzer:
NAG: Neural feature aggregation framework for credit card fraud detection. ICDM 2020: 92-101 - [c131]Cristina Arhiliuc, Jelena Mitrovic, Michael Granitzer:
Language Proficiency Scoring. LREC 2020: 5624-5630 - [c130]Tommaso Caselli, Valerio Basile, Jelena Mitrovic, Inga Kartoziya, Michael Granitzer:
I Feel Offended, Don't Be Abusive! Implicit/Explicit Messages in Offensive and Abusive Language. LREC 2020: 6193-6202 - [c129]Christofer Fellicious, Thomas Weißgerber, Michael Granitzer:
Effects of Random Seeds on the Accuracy of Convolutional Neural Networks. LOD (2) 2020: 93-102 - [c128]Fatemeh Salehi Rizi, Michael Granitzer:
Signed heterogeneous network embedding in social media. SAC 2020: 1877-1880 - [c127]Davide Colla, Tommaso Caselli, Valerio Basile, Jelena Mitrovic, Michael Granitzer:
GruPaTo at SemEval-2020 Task 12: Retraining mBERT on Social Media and Fine-tuned Offensive Language Models. SemEval@COLING 2020: 1546-1554 - [c126]Omar Hussein, Hachem Sfar, Jelena Mitrovic, Michael Granitzer:
NLP_Passau at SemEval-2020 Task 12: Multilingual Neural Network for Offensive Language Detection in English, Danish and Turkish. SemEval@COLING 2020: 2090-2097 - [c125]Ehab Hamdy, Jelena Mitrovic, Michael Granitzer:
nlpUP at SemEval-2020 Task 12 : A Blazing Fast System for Offensive Language Detection. SemEval@COLING 2020: 2098-2104 - [i19]Fatemeh Salehi Rizi, Jörg Schlötterer, Michael Granitzer:
Shortest path distance approximation using deep learning techniques. CoRR abs/2002.05257 (2020) - [i18]Fatemeh Salehi Rizi, Michael Granitzer:
Predicting event attendance exploring social influence. CoRR abs/2002.06665 (2020) - [i17]Fatemeh Salehi Rizi, Michael Granitzer, Konstantin Ziegler:
Global and Local Feature Learning for Ego-Network Analysis. CoRR abs/2002.06685 (2020) - [i16]Jörg Schlötterer, Martin Wehking, Fatemeh Salehi Rizi, Michael Granitzer:
Investigating Extensions to Random Walk Based Graph Embedding. CoRR abs/2002.07252 (2020) - [i15]Julian Stier, Michael Granitzer:
Deep Graph Generators. CoRR abs/2006.04159 (2020) - [i14]Mathieu Garchery, Michael Granitzer:
ADSAGE: Anomaly Detection in Sequences of Attributed Graph Edges applied to insider threat detection at fine-grained level. CoRR abs/2007.06985 (2020) - [i13]Tommaso Caselli, Valerio Basile, Jelena Mitrovic, Michael Granitzer:
HateBERT: Retraining BERT for Abusive Language Detection in English. CoRR abs/2010.12472 (2020) - [i12]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)
2010 – 2019
- 2019
- [j22]Thomas Weißgerber, Michael Granitzer:
Mapping platforms into a new open science model for machine learning. it Inf. Technol. 61(4): 197-208 (2019) - [c124]Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Sylvie Calabretto, Liyun He-Guelton, Frédéric Oblé, Michael Granitzer:
Dataset Shift Quantification for Credit Card Fraud Detection. AIKE 2019: 97-100 - [c123]Mathieu Garchery, Michael Granitzer:
Identifying and Clustering Users for Unsupervised Intrusion Detection in Corporate Audit Sessions. ICCC 2019: 19-27 - [c122]Jörg Schlötterer, Martin Wehking, Fatemeh Salehi Rizi, Michael Granitzer:
Investigating Extensions to Random Walk Based Graph Embedding. ICCC 2019: 81-89 - [c121]Julian Stier, Michael Granitzer:
Structural Analysis of Sparse Neural Networks. KES 2019: 107-116 - [c120]Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Sylvie Calabretto, Olivier Caelen, Liyun He-Guelton, Michael Granitzer:
Multiple perspectives HMM-based feature engineering for credit card fraud detection. SAC 2019: 1359-1361 - [c119]Fatemeh Salehi Rizi, Michael Granitzer:
Predicting event attendance exploring social influence. SAC 2019: 2131-2134 - [c118]Jelena Mitrovic, Bastian Birkeneder, Michael Granitzer:
nlpUP at SemEval-2019 Task 6: A Deep Neural Language Model for Offensive Language Detection. SemEval@NAACL-HLT 2019: 722-726 - [c117]Stefanie Urchs, Lorenz Wendlinger, Jelena Mitrovic, Michael Granitzer:
MMoveT15: A Twitter Dataset for Extracting and Analysing Migration-Movement Data of the European Migration Crisis 2015. WETICE 2019: 146-149 - [e7]Gabriele Anderst-Kotsis, A Min Tjoa, Ismail Khalil, Mourad Elloumi, Atif Mashkoor, Johannes Sametinger, Xabier Larrucea, Anna Fensel, Jorge Martínez Gil, Bernhard Moser, Christin Seifert, Benno Stein, Michael Granitzer:
Database and Expert Systems Applications - DEXA 2019 International Workshops BIOKDD, IWCFS, MLKgraphs and TIR, Linz, Austria, August 26-29, 2019, Proceedings. Communications in Computer and Information Science 1062, Springer 2019, ISBN 978-3-030-27683-6 [contents] - [i11]Julian Stier, Gabriele Gianini, Michael Granitzer, Konstantin Ziegler:
Analysing Neural Network Topologies: a Game Theoretic Approach. CoRR abs/1904.08166 (2019) - [i10]Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Olivier Caelen, Liyun He-Guelton, Sylvie Calabretto, Michael Granitzer:
Multiple perspectives HMM-based feature engineering for credit card fraud detection. CoRR abs/1905.06247 (2019) - [i9]Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Sylvie Calabretto, Liyun He-Guelton, Frédéric Oblé, Michael Granitzer:
Dataset shift quantification for credit card fraud detection. CoRR abs/1906.06977 (2019) - [i8]Yvan Lucas, Pierre-Edouard Portier, Léa Laporte, Liyun He-Guelton, Olivier Caelen, Michael Granitzer, Sylvie Calabretto:
Towards automated feature engineering for credit card fraud detection using multi-perspective HMMs. CoRR abs/1909.01185 (2019) - [i7]Julian Stier, Michael Granitzer:
Structural Analysis of Sparse Neural Networks. CoRR abs/1910.07225 (2019) - [i6]Van Bach Nguyen, Belaid Mohamed Karim, Bao Long Vu, Jörg Schlötterer, Michael Granitzer:
Policy Learning for Malaria Control. CoRR abs/1910.08926 (2019) - [i5]Christian Reiser, Jörg Schlötterer, Michael Granitzer:
Parallel Total Variation Distance Estimation with Neural Networks for Merging Over-Clusterings. CoRR abs/1912.04022 (2019) - [i4]Amirhossein Ansari, Masoud Dadgar, Ali Hamzeh, Jörg Schlötterer, Michael Granitzer:
Competitive Influence Maximization: Integrating Budget Allocation and Seed Selection. CoRR abs/1912.12283 (2019) - 2018
- [j21]Mathieu Gaillard, Elöd Egyed-Zsigmond, Michael Granitzer:
CNN features for Reverse Image Search. Document Numérique 21(1-2): 63-90 (2018) - [j20]Johannes Jurgovsky, Michael Granitzer, Konstantin Ziegler, Sylvie Calabretto, Pierre-Edouard Portier, Liyun He-Guelton, Olivier Caelen:
Sequence classification for credit-card fraud detection. Expert Syst. Appl. 100: 234-245 (2018) - [c116]Fatemeh Salehi Rizi, Jörg Schlötterer, Michael Granitzer:
Shortest Path Distance Approximation Using Deep Learning Techniques. ASONAM 2018: 1007-1014 - [c115]Giovanni Ciccone, Arthur Sultan, Léa Laporte, Elöd Egyed-Zsigmond, Alaa Alhamzeh, Michael Granitzer:
Stacked Gender Prediction from Tweet Texts and Images: Notebook for PAN at CLEF 2018. CLEF (Working Notes) 2018 - [c114]Nils Witt, Michael Granitzer, Christin Seifert:
Collection-Document Summaries. ECIR 2018: 638-643 - [c113]Federico Buffoni, Gabriele Gianini, Ernesto Damiani, Michael Granitzer:
All-Implicants Neural Networks for Efficient Boolean Function Representation. ICCC 2018: 82-86 - [c112]Jörg Schlötterer, Christin Seifert, Michael Granitzer:
QueryCrumbs for Experts: A Compact Visual Query Support System to Facilitate Insights into Search Engine Internals. IV 2018: 78-84 - [c111]Mathieu Garchery, Michael Granitzer:
On the influence of categorical features in ranking anomalies using mixed data. KES 2018: 77-86 - [c110]Julian Stier, Gabriele Gianini, Michael Granitzer, Konstantin Ziegler:
Analysing Neural Network Topologies: a Game Theoretic Approach. KES 2018: 234-243 - [e6]Mourad Elloumi, Michael Granitzer, Abdelkader Hameurlain, Christin Seifert, Benno Stein, A Min Tjoa, Roland R. Wagner:
Database and Expert Systems Applications - DEXA 2018 International Workshops, BDMICS, BIOKDD, and TIR, Regensburg, Germany, September 3-6, 2018, Proceedings. Communications in Computer and Information Science 903, Springer 2018, ISBN 978-3-319-99132-0 [contents] - 2017
- [j19]Fatemeh Salehi Rizi, Michael Granitzer:
Properties of Vector Embeddings in Social Networks. Algorithms 10(4): 109 (2017) - [c109]Jörg Schlötterer, Christin Seifert, Michael Granitzer:
On Joint Representation Learning of Network Structure and Document Content. CD-MAKE 2017: 237-251 - [c108]Guillaume Kheng, Léa Laporte, Michael Granitzer:
INSA LYON and UNI PASSAU's Participation at PAN@CLEF'17: Author Profiling task. CLEF (Working Notes) 2017 - [c107]Fatemeh Salehi Rizi, Michael Granitzer, Konstantin Ziegler:
Global and Local Feature Learning for Ego-Network Analysis. DEXA Workshops 2017: 98-102 - [c106]Christin Seifert, Jörg Schlötterer, Michael Granitzer:
QueryCrumbs: A Compact Visualization for Navigating the Search Query History. IV 2017: 35-44 - [c105]Sebastian Bayerl, Michael Granitzer:
Discovering, Ranking and Merging RDF Data Cubes. ICSC 2017: 133-140 - [c104]Konstantin Ziegler, Olivier Caelen, Mathieu Garchery, Michael Granitzer, Liyun He-Guelton, Johannes Jurgovsky, Pierre-Edouard Portier, Stefan Zwicklbauer:
Injecting Semantic Background Knowledge into Neural Networks using Graph Embeddings. WETICE 2017: 200-205 - 2016
- [c103]Nils Witt, Christin Seifert, Michael Granitzer:
Explaining Topical Distances Using Word Embeddings. DEXA Workshops 2016: 212-217 - [c102]Johannes Jurgovsky, Michael Granitzer, Christin Seifert:
Evaluating Memory Efficiency and Robustness of Word Embeddings. ECIR 2016: 200-211 - [c101]Jörg Schlötterer, Christin Seifert, Michael Granitzer:
Supporting Web Surfers in Finding Related Material in Digital Library Repositories. TPDL 2016: 434-437 - [c100]Stefan Zwicklbauer, Christin Seifert, Michael Granitzer:
DoSeR - A Knowledge-Base-Agnostic Framework for Entity Disambiguation Using Semantic Embeddings. ESWC 2016: 182-198 - [c99]Britta Meixner, Christian Handschigl, Stefan John, Michael Granitzer:
A Dual Screen Concept for User-Controlled Hypervideo-Based Physiotherapy Training. MMHealth@ACM Multimedia 2016: 9-13 - [c98]Christian Handschigl, Britta Meixner, Stefan John, Michael Granitzer:
Second Screen Hypervideo-Based Physiotherapy Training: INVITED DEMO PAPER. MMHealth@ACM Multimedia 2016: 51 - [c97]Stefan John, Christian Handschigl, Britta Meixner, Michael Granitzer:
Hypervideo Production Using Crowdsourced Youtube Videos. ACM Multimedia 2016: 695-697 - [c96]Christoph Besel, Jörg Schlötterer, Michael Granitzer:
Inferring semantic interest profiles from Twitter followees: does Twitter know better than your friends? SAC 2016: 1152-1157 - [c95]Stefan Zwicklbauer, Christin Seifert, Michael Granitzer:
Robust and Collective Entity Disambiguation through Semantic Embeddings. SIGIR 2016: 425-434 - [c94]Britta Meixner, Christian Handschigl, Stefan John, Michael Granitzer:
From Single Screen to Dual Screen - a Design study for a User-Controlled Hypervideo-Based Physiotherapy Training. WSICC@TVX 2016 - [c93]Stefan John, Michael Granitzer, Denis Helic:
Extracting Navigation Hierarchies from Networks with Genetic Algorithms. WEBIST (2) 2016: 63-74 - 2015
- [j18]Christin Seifert, Michael Granitzer:
EEXCESS: Personalisierter Zugriff auf Long-Tail-Inhalte - neue Methoden zur Verbreitung wissenschaftlich-kulturellen Wissens. Inf. Wiss. Prax. 66(2-3): 103-110 (2015) - [c92]Stefan Zwicklbauer, Christin Seifert, Michael Granitzer:
From General to Specialized Domain: Analyzing Three Crucial Problems of Biomedical Entity Disambiguation. DEXA (1) 2015: 76-93 - [c91]Jörg Schlötterer, Christin Seifert, Lisa Wagner, Michael Granitzer:
A Game with a Purpose to Access Europe's Cultural Treasure. GamifIR@ECIR 2015: 13-18 - [c90]Jörg Schlötterer, Christin Seifert, Wolfgang Lutz, Michael Granitzer:
From Context-Aware to Context-Based: Mobile Just-In-Time Retrieval of Cultural Heritage Objects. ECIR 2015: 805-808 - [c89]Katrin Tonndorf, Christian Handschigl, Julian Windscheid, Harald Kosch, Michael Granitzer:
The effect of non-linear structures on the usage of hypervideo for physical training. ICME 2015: 1-6 - [c88]Kai Schlegel, Emanuel Berndl, Michael Granitzer, Harald Kosch, Thomas Kurz:
A platform for contextual multimedia data: towards a unified metadata model and querying. I-KNOW 2015: 1:1-1:8 - [c87]Stefan Zwicklbauer, Christin Seifert, Michael Granitzer:
Search-based entity disambiguation with document-centric knowledge bases. I-KNOW 2015: 6:1-6:8 - [c86]Sebastian Bayerl, Michael Granitzer:
Data-transformation on historical data using the RDF data cube vocabulary. I-KNOW 2015: 15:1-15:8 - [c85]Christin Seifert, Jörg Schlötterer, Michael Granitzer:
User Interface Considerations for Browser-Based Just-in-Time-Retrieval. IV 2015: 460-467 - [c84]Johannes Jurgovsky, Michael Granitzer:
Comparing Recursive Autoencoder and Convolutional Network for Phrase-Level Sentiment Polarity Classification. NLDB 2015: 160-166 - [c83]Christin Seifert, Jörg Schlötterer, Michael Granitzer:
Towards a feature-rich data set for personalized access to long-tail content. SAC 2015: 1031-1038 - [c82]Sebastian Bayerl, Michael Granitzer:
bacon: Linked Data Integration based on the RDF Data Cube Vocabulary. WIMS 2015: 14:1-14:6 - [p4]Stefan Zwicklbauer, Christin Seifert, Michael Granitzer:
Linking Biomedical Data to the Cloud. Smart Health 2015: 209-235 - 2014
- [j17]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) - [c81]Kai Schlegel, Thomas Weißgerber, Florian Stegmaier, Christin Seifert, Michael Granitzer, Harald Kosch:
Balloon Synopsis: A Modern Node-Centric RDF Viewer and Browser for the Web. ESWC (Satellite Events) 2014: 249-253 - [c80]Belgin Mutlu, Patrick Höfler, Gerwald Tschinkel, Eduardo E. Veas, Vedran Sabol, Florian Stegmaier, Michael Granitzer:
Suggesting Visualisations for Published Data. IVAPP 2014: 267-275 - [c79]Kai Schlegel, Florian Stegmaier, Sebastian Bayerl, Michael Granitzer, Harald Kosch:
Balloon Fusion: SPARQL rewriting based on unified co-reference information. ICDE Workshops 2014: 254-259 - [c78]Britta Meixner, Katrin Tonndorf, Stefan John, Christian Handschigl, Kai Hofmann, Michael Granitzer:
A multimedia help system for a medical scenario in a rehabilitation clinic. I-KNOW 2014: 25:1-25:8 - [c77]Christin Seifert, Johannes Jurgovsky, Michael Granitzer:
FacetScape: A Visualization for Exploring the Search Space. IV 2014: 94-101 - [c76]Kai Schlegel, Thomas Weißgerber, Florian Stegmaier, Michael Granitzer, Harald Kosch:
Balloon Synopsis: A jQuery plugin to easily integrate the Semantic Web in a website. ISWC (Developers Workshop) 2014: 19-24 - [c75]Vedran Sabol, Gerwald Tschinkel, Eduardo E. Veas, Patrick Höfler, Belgin Mutlu, Michael Granitzer:
Discovery and Visual Analysis of Linked Data for Humans. ISWC (1) 2014: 309-324 - [c74]Patrick Höfler, Michael Granitzer, Eduardo E. Veas, Christin Seifert:
Linked Data Query Wizard: A Novel Interface for Accessing SPARQL Endpoints. LDOW 2014 - [p3]Christin Seifert, Vedran Sabol, Wolfgang Kienreich, Elisabeth Lex, Michael Granitzer:
Visual Analysis and Knowledge Discovery for Text. Large-Scale Data Analytics 2014: 189-218 - [i3]Elisabeth Lex, Inayat Khan, Horst Bischof, Michael Granitzer:
Assessing the Quality of Web Content. CoRR abs/1406.3188 (2014) - [i2]Roman Kern, Kris Jack, Michael Granitzer:
Recommending Scientific Literature: Comparing Use-Cases and Algorithms. CoRR abs/1409.1357 (2014) - [i1]Florian Stegmaier, Kai Schlegel, Michael Granitzer:
Lost in Semantics? Ballooning the Web of Data. ERCIM News 2014(96) (2014) - 2013
- [j16]Karin Schoefegger, Tanel Tammet, Michael Granitzer:
A survey on socio-semantic information retrieval. Comput. Sci. Rev. 8: 25-46 (2013) - [j15]Christin Seifert, Eva Ulbrich, Roman Kern, Michael Granitzer:
Text Representation for Efficient Document Annotation. J. Univers. Comput. Sci. 19(3): 383-405 (2013) - [j14]Marcin Grzegorzek, Michael Granitzer, Stefan M. Rüger, Michael Sintek, Thierry Declerck, Massimo Romanelli:
Trends in semantic and digital media technologies. Multim. Tools Appl. 62(2): 311-318 (2013)