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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
- 2024
[j32]Thomas Weißgerber
, Mehdi Ben Amor, Christofer Fellicious, Michael Granitzer:
PyPads. Datenbank-Spektrum 24(1): 53-62 (2024)- [j31]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): 512-520 (2024) - [j30]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): 1-13 (2024) - [c182]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: 17310-17320 - [c181]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: 130-143 - [c180]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: 426-431 - [c179]Saber Zerhoudi, Michael Granitzer:
Comparative Analysis: User Interactions in Public and Private Digital Libraries Datasets. TPDL (2) 2024: 162-172 - [c178]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: 117-126 - [c177]Simon Neumeyer, Julian Stier, Michael Granitzer:
Efficient NAS with FaDE on Hierarchical Spaces. IDA (2) 2024: 158-170 - [c176]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. ECML/PKDD (10) 2024: 397-412 - [c175]Christofer Fellicious, Sahib Julka, Lorenz Wendlinger, Michael Granitzer:
DriftGAN: Using historical data for Unsupervised Recurring Drift Detection. SAC 2024: 368-369 - [c174]Lorenz Wendlinger, Michael Granitzer:
Informed Heterogeneous Attention Networks for Metapath Based Learning. SAC 2024: 458-465 - [c173]Mehdi Ben Amor, Michael Granitzer, Jelena Mitrovic:
Impact of Position Bias on Language Models in Token Classification. SAC 2024: 741-745 - [c172]Michael Dinzinger, Florian Heß, Michael Granitzer:
A Survey of Web Content Control for Generative AI. WOWS@ECIR 2024: 2-13 - [c171]Michael Dinzinger, Michael Granitzer:
A Longitudinal Study of Content Control Mechanisms. WWW (Companion Volume) 2024: 1382-1387 - [e8]Sheikh Mastura Farzana, Maik Fröbe, Gijs Hendriksen, Michael Granitzer, Djoerd Hiemstra, Martin Potthast, Saber Zerhoudi:
Proceedings of the first International Workshop on Open Web Search co-located with the 46th European Conference on Information Retrieval ECIR 2024, Glasgow, UK, March 28, 2024. CEUR Workshop Proceedings 3689, CEUR-WS.org 2024 [contents] - [i40]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 abs/2404.02261 (2024) - [i39]Michael Dinzinger, Florian Heß, Michael Granitzer:
A Survey of Web Content Control for Generative AI. CoRR abs/2404.02309 (2024) - [i38]Simon Neumeyer, Julian Stier, Michael Granitzer:
Efficient NAS with FaDE on Hierarchical Spaces. CoRR abs/2404.16218 (2024) - [i37]Ramona Kühn, Jelena Mitrovic, Michael Granitzer:
Computational Approaches to the Detection of Lesser-Known Rhetorical Figures: A Systematic Survey and Research Challenges. CoRR abs/2406.16674 (2024) - [i36]Christofer Fellicious, Sahib Julka, Lorenz Wendlinger, Michael Granitzer:
DriftGAN: Using historical data for Unsupervised Recurring Drift Detection. CoRR abs/2407.06543 (2024) - [i35]Laura Caspari, Kanishka Ghosh Dastidar, Saber Zerhoudi, Jelena Mitrovic, Michael Granitzer:
Beyond Benchmarks: Evaluating Embedding Model Similarity for Retrieval Augmented Generation Systems. CoRR abs/2407.08275 (2024) - [i34]Saber Zerhoudi, Michael Granitzer:
PersonaRAG: Enhancing Retrieval-Augmented Generation Systems with User-Centric Agents. CoRR abs/2407.09394 (2024) - [i33]Harshil Darji, Jelena Mitrovic, Michael Granitzer:
Challenges and Considerations in Annotating Legal Data: A Comprehensive Overview. CoRR abs/2407.17503 (2024) - [i32]Mohammed Al-Maamari, Mehdi Ben Amor, Michael Granitzer:
Mixture of Modular Experts: Distilling Knowledge from a Multilingual Teacher into Specialized Modular Language Models. CoRR abs/2407.19610 (2024) - 2023
- [j29]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) - [c170]Khouloud Saadi, Jelena Mitrovic, Michael Granitzer:
Learn From One Specialized Sub-Teacher: One-to-One Mapping for Feature-Based Knowledge Distillation. EMNLP (Findings) 2023: 13235-13245 - [c169]Harshil Darji, Jelena Mitrovic, Michael Granitzer:
German BERT Model for Legal Named Entity Recognition. ICAART (3) 2023: 723-728 - [c168]Harshil Darji, Jelena Mitrovic, Michael Granitzer:
A Dataset of German Legal Reference Annotations. ICAIL 2023: 392-396 - [c167]Ramona Kühn, Jelena Mitrovic, Michael Granitzer:
ESTHER: Ontology of Rhetorical Figures in English. JOWO 2023 - [c166]Sahib Julka, Michael Granitzer:
Knowledge Distillation with Segment Anything (SAM) Model for Planetary Geological Mapping. LOD (1) 2023: 68-77 - [c165]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: 390-404 - [c164]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: 430-444 - [c163]Ramona Kühn, Jelena Mitrovic, Michael Granitzer:
Hidden in Plain Sight: Can German Wiktionary and Wordnets Facilitate the Detection of Antithesis? GWC 2023: 106-116 - [i31]Harshil Darji, Jelena Mitrovic, Michael Granitzer:
German BERT Model for Legal Named Entity Recognition. CoRR abs/2303.05388 (2023) - [i30]Mehdi Ben Amor, Michael Granitzer, Jelena Mitrovic:
Impact of Position Bias on Language Models in Token Classification. CoRR abs/2304.13567 (2023) - [i29]Sahib Julka, Michael Granitzer:
Knowledge distillation with Segment Anything (SAM) model for Planetary Geological Mapping. CoRR abs/2305.07586 (2023) - [i28]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 abs/2307.06709 (2023) - [i27]Veronika Hackl, Alexandra Elena Müller, Michael Granitzer, Maximilian Sailer:
Is GPT-4 a reliable rater? Evaluating Consistency in GPT-4 Text Ratings. CoRR abs/2308.02575 (2023) - [i26]Max Klabunde, Mehdi Ben Amor, Michael Granitzer, Florian Lemmerich:
Towards Measuring Representational Similarity of Large Language Models. CoRR abs/2312.02730 (2023) - 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) - [c162]Van Bach Nguyen, Kanishka Ghosh Dastidar, Michael Granitzer, Wissam Siblini:
The Importance of Future Information in Credit Card Fraud Detection. AISTATS 2022: 10067-10077 - [c161]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: 4661-4666 - [c160]Lorenz Wendlinger, Gerd Hübscher, Andreas Ekelhart, Michael Granitzer:
Reconciliation of Mental Concepts with Graph Neural Networks. DEXA (2) 2022: 133-146 - [c159]Saber Zerhoudi, Michael Granitzer, Christin Seifert, Joerg Schloetterer:
Evaluating Simulated User Interaction and Search Behaviour. ECIR (2) 2022: 240-247 - [c158]Saber Zerhoudi, Michael Granitzer:
Simulating User Querying Behavior Using Embedding Space Alignment. TPDL 2022: 386-394 - [c157]Yetian Wang, Ramona Kühn, Randy Allen Harris, Jelena Mitrovic, Michael Granitzer:
Towards a Unified Multilingual Ontology for Rhetorical Figures. KDIR 2022: 117-127 - [c156]Saber Zerhoudi, Michael Granitzer, Christin Seifert, Jörg Schlötterer:
Simulating User Interaction and Search Behaviour in Digital Libraries. IRCDL 2022 - [c155]Ramona Kühn, Jelena Mitrovic, Michael Granitzer:
GRhOOT: Ontology of Rhetorical Figures in German. LREC 2022: 4001-4010 - [c154]Lorenz Wendlinger, Michael Granitzer, Christofer Fellicious:
Pooling Graph Convolutional Networks for Structural Performance Prediction. LOD (2) 2022: 1-16 - [c153]Kanishka Ghosh Dastidar, Wissam Siblini, Michael Granitzer:
Expressive and Intuitive Models for Automated Context Representation Learning in Credit-Card Fraud Detection. LOD (2) 2022: 154-168 - [c152]Christofer Fellicious, Lorenz Wendlinger, Michael Granitzer:
Neural Network Based Drift Detection. LOD (1) 2022: 370-383 - [c151]Valentin Peter, Ramona Kühn, Jelena Mitrovic, Michael Granitzer, Hannah Schmid-Petri:
Network Analysis of German COVID-19 Related Discussions on Telegram. NLDB 2022: 25-32 - [c150]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: 1-6 - [c149]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: 452-467 - [c148]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: 1028-1035 - [i25]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) - [i24]Christofer Fellicious, Stewart Sentanoe, Michael Granitzer, Hans P. Reiser:
SmartKex: Machine Learning Assisted SSH Keys Extraction From The Heap Dump. CoRR abs/2209.05243 (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) - [c147]Lorenz Wendlinger, Julian Stier, Michael Granitzer:
Evofficient: Reproducing a Cartesian Genetic Programming Method. EuroGP 2021: 162-178 - [c146]Saber Zerhoudi, Michael Granitzer, Jörg Schlötterer, Christin Seifert:
Query Change as a Contextual Markov Model for Simulating User Search Behaviour. FIRE 2021: 43-51 - [c145]Harshil Darji, Jelena Mitrovic, Michael Granitzer:
Exploring Semantic Similarity Between German Legal Texts and Referred Laws. IC3K 2021: 37-50 - [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]