Michael Granitzer

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 151

Top Venues

CoRR

SAC

I-KNOW

Publications

Gijs Hendriksen, Michael Dinzinger, Sheikh Mastura Farzana, Noor Afshan Fathima, Maik Fröbe, Sebastian Schmidt, Saber Zerhoudi, Michael Granitzer, Matthias Hagen, Djoerd Hiemstra, Martin Potthast, Benno Stein
The Open Web Index - Crawling and Indexing the Web for Public Use. ECIR (5) (2024)
Christofer Fellicious, Sahib Julka, Lorenz Wendlinger, Michael Granitzer
DriftGAN: Using historical data for Unsupervised Recurring Drift Detection. CoRR (2024)
Harshil Darji, Jelena Mitrovic, Michael Granitzer
Challenges and Considerations in Annotating Legal Data: A Comprehensive Overview. CoRR (2024)
Ramona Kühn, Jelena Mitrovic, Michael Granitzer
Computational Approaches to the Detection of Lesser-Known Rhetorical Figures: A Systematic Survey and Research Challenges. CoRR (2024)
Michael Dinzinger, Michael Granitzer
A Longitudinal Study of Content Control Mechanisms. WWW (Companion Volume) (2024)
Saber Zerhoudi, Michael Granitzer
PersonaRAG: Enhancing Retrieval-Augmented Generation Systems with User-Centric Agents. CoRR (2024)
Michael Dinzinger, Florian Heß, Michael Granitzer
A Survey of Web Content Control for Generative AI. WOWS@ECIR (2024)
Christofer Fellicious, Sahib Julka, Lorenz Wendlinger, Michael Granitzer
DriftGAN: Using historical data for Unsupervised Recurring Drift Detection. SAC (2024)
Laura Caspari, Kanishka Ghosh Dastidar, Saber Zerhoudi, Jelena Mitrovic, Michael Granitzer
Beyond Benchmarks: Evaluating Embedding Model Similarity for Retrieval Augmented Generation Systems. CoRR (2024)
Michael Dinzinger, Florian Heß, Michael Granitzer
A Survey of Web Content Control for Generative AI. CoRR (2024)
Mohammed Al-Maamari, Mehdi Ben Amor, Michael Granitzer
Mixture of Modular Experts: Distilling Knowledge from a Multilingual Teacher into Specialized Modular Language Models. CoRR (2024)
Michael Granitzer, Stefan Voigt, Noor Afshan Fathima, Martin Golasowski, Christian Guetl, Tobias Hecking, Gijs Hendriksen, Djoerd Hiemstra, Jan Martinovic, Jelena Mitrovic, Izidor Mlakar, Stavros Moiras, Alexander Nussbaumer, Per Öster, Martin Potthast, Marjana Sencar Srdic, Sharikadze Megi, Katerina Slaninová, Benno Stein, Arjen P. de Vries, Vít Vondrák, Andreas Wagner, Saber Zerhoudi
Impact and development of an Open Web Index for open web search. J. Assoc. Inf. Sci. Technol. 75 (5) (2024)
Simon Neumeyer, Julian Stier, Michael Granitzer
Efficient NAS with FaDE on Hierarchical Spaces. CoRR (2024)
Simon Neumeyer, Julian Stier, Michael Granitzer
Efficient NAS with FaDE on Hierarchical Spaces. IDA (2) (2024)
Ramona Kühn, Khouloud Saadi, Jelena Mitrovic, Michael Granitzer
Using Pre-Trained Language Models in an End-to-End Pipeline for Antithesis Detection. LREC/COLING (2024)
Thomas Weißgerber, Mehdi Ben Amor, Christofer Fellicious, Michael Granitzer
PyPads. Datenbank-Spektrum 24 (1) (2024)
Sheikh Mastura Farzana, Maik Fröbe, Michael Granitzer, Gijs Hendriksen, Djoerd Hiemstra, Martin Potthast, Arjen P. de Vries, Saber Zerhoudi
Report on the 1st International Workshop on Open Web Search (WOWS 2024) at ECIR 2024. SIGIR Forum 58 (1) (2024)
Mehdi Ben Amor, Michael Granitzer, Jelena Mitrovic
Impact of Position Bias on Language Models in Token Classification. SAC (2024)
Sathish Purushothaman, Michael Granitzer, Florian Lemmerich, Jelena Mitrovic
A Framework for Studying Communication Pathways in Machine Learning-Based Agent-to-Agent Communication. ICAART (1) (2024)
Sheikh Mastura Farzana, Maik Fröbe, Michael Granitzer, Gijs Hendriksen, Djoerd Hiemstra, Martin Potthast, Saber Zerhoudi
The First International Workshop on Open Web Search (WOWS). ECIR (5) (2024)
Nataliia Kholodna, Sahib Julka, Mohammad Khodadadi, Muhammed Nurullah Gumus, Michael Granitzer
LLMs in the Loop: Leveraging Large Language Model Annotations for Active Learning in Low-Resource Languages. CoRR (2024)
Lorenz Wendlinger, Michael Granitzer
Informed Heterogeneous Attention Networks for Metapath Based Learning. SAC (2024)
Max Klabunde, Mehdi Ben Amor, Michael Granitzer, Florian Lemmerich
Towards Measuring Representational Similarity of Large Language Models. CoRR (2023)
Ramona Kühn, Jelena Mitrovic, Michael Granitzer
ESTHER: Ontology of Rhetorical Figures in English. JOWO (2023)
Harshil Darji, Jelena Mitrovic, Michael Granitzer
German BERT Model for Legal Named Entity Recognition. CoRR (2023)
Sahib Julka, Michael Granitzer
Knowledge distillation with Segment Anything (SAM) model for Planetary Geological Mapping. CoRR (2023)
Ousmane Touat, Julian Stier, Pierre-Edouard Portier, Michael Granitzer
GRAN Is Superior to GraphRNN: Node Orderings, Kernel- and Graph Embeddings-Based Metrics for Graph Generators. LOD (1) (2023)
Harshil Darji, Jelena Mitrovic, Michael Granitzer
German BERT Model for Legal Named Entity Recognition. ICAART (3) (2023)
Sahib Julka, Michael Granitzer
Knowledge Distillation with Segment Anything (SAM) Model for Planetary Geological Mapping. LOD (1) (2023)
Ousmane Touat, Julian Stier, Pierre-Edouard Portier, Michael Granitzer
GRAN is superior to GraphRNN: node orderings, kernel- and graph embeddings-based metrics for graph generators. CoRR (2023)
Abdullah Al Zubaer, Michael Granitzer, Jelena Mitrovic
Performance analysis of large language models in the domain of legal argument mining. Frontiers Artif. Intell. 6 (2023)
Khouloud Saadi, Jelena Mitrovic, Michael Granitzer
Learn From One Specialized Sub-Teacher: One-to-One Mapping for Feature-Based Knowledge Distillation. EMNLP (Findings) (2023)
Sahib Julka, Rodion Ishmukhametov, Michael Granitzer
Deep Active Learning with Concept Drifts for Detection of Mercury's Bow Shock and Magnetopause Crossings. LOD (1) (2023)
Ramona Kühn, Jelena Mitrovic, Michael Granitzer
Hidden in Plain Sight: Can German Wiktionary and Wordnets Facilitate the Detection of Antithesis? GWC (2023)
Mehdi Ben Amor, Michael Granitzer, Jelena Mitrovic
Impact of Position Bias on Language Models in Token Classification. CoRR (2023)
Harshil Darji, Jelena Mitrovic, Michael Granitzer
A Dataset of German Legal Reference Annotations. ICAIL (2023)
Veronika Hackl, Alexandra Elena Müller, Michael Granitzer, Maximilian Sailer
Is GPT-4 a reliable rater? Evaluating Consistency in GPT-4 Text Ratings. CoRR (2023)
Saber Zerhoudi, Michael Granitzer, Christin Seifert, Jörg Schlötterer
Simulating User Interaction and Search Behaviour in Digital Libraries. IRCDL (2022)
Marek Herde, Denis Huseljic, Jelena Mitrovic, Michael Granitzer, Bernhard Sick
A Concept for Automated Polarized Web Content Annotation based on Multimodal Active Learning. IAL@PKDD/ECML (2022)
Sahib Julka, Nikolas Kirschstein, Michael Granitzer, Alexander Lavrukhin, Ute V. Amerstorfer
Deep Active Learning for Detection of Mercury's Bow Shock and Magnetopause Crossings. ECML/PKDD (4) (2022)
Van Bach Nguyen, Kanishka Ghosh Dastidar, Michael Granitzer, Wissam Siblini
The Importance of Future Information in Credit Card Fraud Detection. CoRR (2022)
Kanishka Ghosh Dastidar, Wissam Siblini, Michael Granitzer
Expressive and Intuitive Models for Automated Context Representation Learning in Credit-Card Fraud Detection. LOD (2) (2022)
Saber Zerhoudi, Sebastian Günther, Kim Plassmeier, Timo Borst, Christin Seifert, Matthias Hagen, Michael Granitzer
The SimIIR 2.0 Framework: User Types, Markov Model-Based Interaction Simulation, and Advanced Query Generation. CIKM (2022)
Lorenz Wendlinger, Gerd Hübscher, Andreas Ekelhart, Michael Granitzer
Reconciliation of Mental Concepts with Graph Neural Networks. DEXA (2) (2022)
Lorenz Wendlinger, Michael Granitzer, Christofer Fellicious
Pooling Graph Convolutional Networks for Structural Performance Prediction. LOD (2) (2022)
Kanishka Ghosh Dastidar, Johannes Jurgovsky, Wissam Siblini, Michael Granitzer
NAG: neural feature aggregation framework for credit card fraud detection. Knowl. Inf. Syst. 64 (3) (2022)
Christofer Fellicious, Lorenz Wendlinger, Michael Granitzer
Neural Network Based Drift Detection. LOD (1) (2022)
Valentin Peter, Ramona Kühn, Jelena Mitrovic, Michael Granitzer, Hannah Schmid-Petri
Network Analysis of German COVID-19 Related Discussions on Telegram. NLDB (2022)
Stewart Sentanoe, Christofer Fellicious, Hans P. Reiser, Michael Granitzer
"The Need for Speed": Extracting Session Keys From the Main Memory Using Brute-force and Machine Learning. TrustCom (2022)
Saber Zerhoudi, Michael Granitzer
Simulating User Querying Behavior Using Embedding Space Alignment. TPDL (2022)
Julian Stier, Michael Granitzer
deepstruct - linking deep learning and graph theory. Softw. Impacts 11 (2022)
Christofer Fellicious, Stewart Sentanoe, Michael Granitzer, Hans P. Reiser
SmartKex: Machine Learning Assisted SSH Keys Extraction From The Heap Dump. CoRR (2022)
Yetian Wang, Ramona Kühn, Randy Allen Harris, Jelena Mitrovic, Michael Granitzer
Towards a Unified Multilingual Ontology for Rhetorical Figures. KDIR (2022)
Ramona Kühn, Jelena Mitrovic, Michael Granitzer
GRhOOT: Ontology of Rhetorical Figures in German. LREC (2022)
Saber Zerhoudi, Michael Granitzer, Christin Seifert, Joerg Schloetterer
Evaluating Simulated User Interaction and Search Behaviour. ECIR (2) (2022)
Van Bach Nguyen, Kanishka Ghosh Dastidar, Michael Granitzer, Wissam Siblini
The Importance of Future Information in Credit Card Fraud Detection. AISTATS (2022)
Julian Stier, Harshil Darji, Michael Granitzer
Experiments on Properties of Hidden Structures of Sparse Neural Networks. CoRR (2021)
Julian Stier, Harshil Darji, Michael Granitzer
Experiments on Properties of Hidden Structures of Sparse Neural Networks. LOD (2021)
Lorenz Wendlinger, Julian Stier, Michael Granitzer
Evofficient: Reproducing a Cartesian Genetic Programming Method. EuroGP (2021)
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) (2021)
Julian Stier, Michael Granitzer
DeepGG: A Deep Graph Generator. IDA (2021)
Sahib Julka, Vishal Sowrirajan, Joerg Schloetterer, Michael Granitzer
Conditional Generative Adversarial Networks for Speed Control in Trajectory Simulation. LOD (2021)
Julian Stier, Michael Granitzer
deepstruct - linking deep learning and graph theory. CoRR (2021)
Mehdi Ben Amor, Julian Stier, Michael Granitzer
Correlation Analysis between the Robustness of Sparse Neural Networks and their Random Hidden Structural Priors. CoRR (2021)
Lorenz Wendlinger, Emanuel Berndl, Michael Granitzer
Methods for Automatic Machine-Learning Workflow Analysis. ECML/PKDD (5) (2021)
Harshil Darji, Jelena Mitrovic, Michael Granitzer
Exploring Semantic Similarity Between German Legal Texts and Referred Laws. IC3K (2021)
Sahib Julka, Vishal Sowrirajan, Jörg Schlötterer, Michael Granitzer
Conditional Generative Adversarial Networks for Speed Control in Trajectory Simulation. CoRR (2021)
Tobias Milz, Michael Granitzer, Jelena Mitrovic
Analysis of a German Legal Citation Network. KDIR (2021)
Stefanie Urchs, Jelena Mitrovic, Michael Granitzer
Design and Implementation of German Legal Decision Corpora. ICAART (2) (2021)
Mehdi Ben Amor, Julian Stier, Michael Granitzer
Correlation Analysis between the Robustness of Sparse Neural Networks and their Random Hidden Structural Priors. KES (2021)
Saber Zerhoudi, Michael Granitzer, Jörg Schlötterer, Christin Seifert
Query Change as a Contextual Markov Model for Simulating User Search Behaviour. FIRE (2021)
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) (2021)
Fabian Schliski, Jörg Schlötterer, Michael Granitzer
Influence of Random Walk Parametrization on Graph Embeddings. ECIR (2) (2020)
Jörg Schlötterer, Christin Seifert, Christopher Satchell, Michael Granitzer
QueryCrumbs search query history visualization - Usability, transparency and long-term usage. J. Comput. Lang. 57 (2020)
Fatemeh Salehi Rizi, Jörg Schlötterer, Michael Granitzer
Shortest path distance approximation using deep learning techniques. CoRR (2020)
Stefanie Urchs, Jelena Mitrovic, Michael Granitzer
Towards Classifying Parts of German Legal Writing Styles in German Legal Judgments. ACIT (2020)
Ehab Hamdy, Jelena Mitrovic, Michael Granitzer
nlpUP at SemEval-2020 Task 12 : A Blazing Fast System for Offensive Language Detection. SemEval@COLING (2020)
Jörg Schlötterer, Martin Wehking, Fatemeh Salehi Rizi, Michael Granitzer
Investigating Extensions to Random Walk Based Graph Embedding. CoRR (2020)
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)
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)
Kanishka Ghosh Dastidar, Johannes Jurgovsky, Wissam Siblini, Liyun He-Guelton, Michael Granitzer
NAG: Neural feature aggregation framework for credit card fraud detection. ICDM (2020)
Fatemeh Salehi Rizi, Michael Granitzer
Signed heterogeneous network embedding in social media. SAC (2020)
Jelena Mitrovic, Cliff O'Reilly, Randy Allen Harris, Michael Granitzer
Cognitive Modeling in Computational Rhetoric: Litotes, Containment and the Unexcluded Middle. ICAART (2) (2020)
Julian Stier, Michael Granitzer
Deep Graph Generators. CoRR (2020)
Fatemeh Salehi Rizi, Michael Granitzer
Multi-task Network Embedding with Adaptive Loss Weighting. ASONAM (2020)
Christofer Fellicious, Thomas Weißgerber, Michael Granitzer
Effects of Random Seeds on the Accuracy of Convolutional Neural Networks. LOD (2) (2020)
Saber Zerhoudi, Michael Granitzer, Mathieu Garchery
Improving Intrusion Detection Systems using Zero-Shot Recognition via Graph Embeddings. COMPSAC (2020)
Cristina Arhiliuc, Jelena Mitrovic, Michael Granitzer
Language Proficiency Scoring. LREC (2020)
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 (2020)
Fatemeh Salehi Rizi, Michael Granitzer, Konstantin Ziegler
Global and Local Feature Learning for Ego-Network Analysis. CoRR (2020)
Tommaso Caselli, Valerio Basile, Jelena Mitrovic, Michael Granitzer
HateBERT: Retraining BERT for Abusive Language Detection in English. CoRR (2020)
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 (2020)
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)
Fatemeh Salehi Rizi, Michael Granitzer
Predicting event attendance exploring social influence. CoRR (2020)
Mathieu Garchery, Michael Granitzer
ADSAGE: Anomaly Detection in Sequences of Attributed Graph Edges applied to insider threat detection at fine-grained level. CoRR (2020)
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)
Amirhossein Ansari, Masoud Dadgar, Ali Hamzeh, Jörg Schlötterer, Michael Granitzer
Competitive Influence Maximization: Integrating Budget Allocation and Seed Selection. CoRR (2019)
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)
Thomas Weißgerber, Michael Granitzer
Mapping platforms into a new open science model for machine learning. it Inf. Technol. 61 (4) (2019)
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 (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Michael Granitzer