Publications by Rudolf Mayer

2023

[ŠAM23]
Tanja Šarčević, Philipp Adler, and Rudolf Mayer. Achieving Privacy and Tracing Unauthorised Data Usage: Anonymisation-based Fingerprinting for Private Data. In 2023 IEEE International Conference on Big Data (Big Data), Sorrento, Italy, December 2023. IEEE. [ bib | DOI | .pdf ]
[PBM23b]
Anastasia Pustozerova, Jan Baumbach, and Rudolf Mayer. Differentially Private Federated Learning: Privacy and Utility Analysis of Output Perturbation and DP-SGD. In 2023 IEEE International Conference on Big Data (Big Data), Sorrento, Italy, December 2023. IEEE. [ bib | DOI | .pdf ]
[SRM23]
Yana Saknovych, Richard Röttger, and Rudolf Mayer. A comparison of Federated Aggregation Strategies and Architectures for Next Word Prediction. In 2023 IEEE International Conference on Big Data (Big Data), Sorrento, Italy, December 2023. IEEE. [ bib | DOI | .pdf ]
[NM23]
Nina Niederhametner and Rudolf Mayer. Protecting multiple sensitive attributes in synthetic micro-data. In 2023 IEEE International Conference on Big Data (Big Data), Sorrento, Italy, December 2023. IEEE. [ bib | DOI | .pdf ]
[PBM23a]
Anastasia Pustozerova, Jan Baumbach, and Rudolf Mayer. Analysing Utility Loss in Federated Learning with Differential Privacy. In International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), Exeter, UK, November 2023. IEEE. [ bib ]
[FMR23]
Borna Feldsar, Rudolf Mayer, and Andreas Rauber. Detecting Adversarial Examples Using Surrogate Models. Machine Learning and Knowledge Extraction, 5(4):1796--1825, November 2023. [ bib | DOI | http ]
[FGG+23]
Alessandra Ferlini, Edith Sky Gross, Nicolas Garnier, on behalf of the Screen4Care consortium, Joanne Berghout, Aldona Zygmunt, Deependra Singh, Kui A. Huang, Waltraud Kantz, Carl Rudolf Blankart, Sandra Gillner, Jiawei Zhao, Richard Roettger, Christina Saier, Jan Kirschner, Joern Schenk, Leon Atkins, Nuala Ryan, Kaja Zarakowska, Jana Zschüntzsch, Michela Zuccolo, Matthias Müllenborn, Yuen-Sum Man, Liz Goodman, Marie Trad Lysogene, Anne Sophie Chalandon, Stefaan Sansen, Maria Martinez-Fresno, Shirlene Badger, Rudolf Walther Van Olden, Robert Rothmann, Patrick Lehner, Christof Tschohl, Ludovic Baillon, Gulcin Gumus, Rumen Stefanov, Georgi Iskrov, Ralitsa Raycheva, Kostadin Kostadinov, Georgi Stefanov, Elena Mitova, Moshe Einhorn, Yaron Einhorn, Josef Schepers, Miriam Hübner, Frauke Alves, Rowan Iskandar, Rudolf Mayer, Alessandra Renieri, Aneta Piperkova, Ivo Gut, Sergi Beltran, Mads Emil Matthiesen, Marion Poetz, Mats Hansson, Regina Trollmann, Emanuele Agolini, Silvia Ottombrino, Antonio Novelli, Enrico Bertini, Rita Selvatici, Marianna Farnè, and Fernanda Fortunato. Rare diseases' genetic newborn screening as the gateway to future genomic medicine: the Screen4Care EU-IMI project. Orphanet Journal of Rare Diseases, 18(1):310, October 2023. [ bib | DOI | http ]
[MMHE23]
Rudolf Mayer, Markus, Hittmeir, and Andreas Ekelhart. Distance-based linkage of personal microbiome records for identification and its privacy implications. Computers & Security, page 103538, October 2023. [ bib | DOI | http ]
[SMSL23]
Andrea Siposova, Rudolf Mayer, Matthias Schlögl, and Jasmin Lampert. Supporting landslide disaster risk reduction using data-driven methods. ERCIM News, 2023(135):10--11, October 2023. [ bib | http | .pdf ]
[MKH23]
Rudolf Mayer, Alicja Karlowicz, and Markus Hittmeir. k-Anonymity on Metagenomic Features in Microbiome Databases. In Proceedings of the 18th International Conference on Availability, Reliability and Security, pages 1--11, Benevento Italy, August 2023. ACM. [ bib | DOI | www: | http ]
[OMR23]
Daryna Oliynyk, Rudolf Mayer, and Andreas Rauber. I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences. ACM Computing Surveys, 55(14s), jul 2023. [ bib | DOI | http | .pdf ]
[MSB+23]
Julian Matschinske, Julian Späth, Mohammad Bakhtiari, Niklas Probul, Mohammad Mahdi Kazemi Majdabadi, Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Anne Hartebrodt, Balazs-Attila Orban, Sándor-József Fejér, Olga Zolotareva, Supratim Das, Linda Baumbach, Josch K Pauling, Olivera Tomašević, Béela Bihari, Marcus Bloice, Nina C Donner, Walid Fdhila, Tobias Frisch, Anne-Christin Hauschild, Dominik Heider, Andreas Holzinger, Walter Hötzendorfer, Jan Hospes, Tim Kacprowski, Markus Kastelitz, Markus List, Rudolf Mayer, Mónika Moga, Heimo Müller, Anastasia Pustozerova, Richard Röttger, Christina C Saak, Anna Saranti, Harald H H W Schmidt, Christof Tschohl, Nina K Wenke, and Jan Baumbach. The FeatureCloud Platform for Federated Learning in Biomedicine: Unified Approach. Journal of Medical Internet Research, 25:e42621, July 2023. [ bib | DOI | http ]
[LMR23]
Isabell Lederer, Rudolf Mayer, and Andreas Rauber. Identifying Appropriate Intellectual Property Protection Mechanisms for Machine Learning Models: A Systematisation of Watermarking, Fingerprinting, Model Access, and Attacks. IEEE Transactions on Neural Networks and Learning Systems, 2023. [ bib | DOI ]

2022

[HME22b]
Markus Hittmeir, Rudolf Mayer, and Andreas Ekelhart. Efficient Bayesian Network Construction for Increased Privacy on Synthetic Data. In 2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan, December 2022. IEEE Computer Society. [ bib | DOI | .pdf ]
[RME22b]
Guillermo Alamán Requena, Rudolf Mayer, and Andreas Ekelhart. An Efficient Approach for Anonymising the Structure of Heterogeneous Graphs. In 2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan, December 2022. IEEE Computer Society. [ bib | DOI | .pdf ]
[ŠMR22]
Tanja Šarčević, Rudolf Mayer, and Andreas Rauber. Adaptive Attacks and Targeted Fingerprinting of Relational Data. In 2022 IEEE International Conference on Big Data (Big Data), Osaka, Japan, December 2022. IEEE Computer Society. [ bib | DOI | .pdf ]
[LWA+22]
Jasmin Lampert, Susanna Wernhart, Michael Avian, Matthias Schlögl, Michaela Seewald, Martin Jung, Marc Ostermann, René Kastner, Rudolf Mayer, and Andrea Siposova. gAia: predicting landslides based on consolidated inventory data - bridging needs and limitations. In Disaster Research Days, Innsbruck, Austria, October 2022. Disaster Competence Network Austria. [ bib | http | .pdf ]
[HME22a]
Markus Hittmeir, Rudolf Mayer, and Andreas Ekelhart. Distance-based Techniques for Personal Microbiome Identification. In International Conference on Availability, Reliability and Security, ARES, Vienna, Austria, August 2022. ACM. [ bib | DOI | .pdf ]
[RME22a]
Guillermo Alamán Requena, Rudolf Mayer, and Andreas Ekelhart. Anonymisation of Heterogeneous Graphs with Multiple Edge Types. In Database and Expert Systems Applications, DEXA, Cham, August 2022. Springer International Publishing. [ bib | DOI | .pdf ]
[LM22]
Majlinda Llugiqi and Rudolf Mayer. An Empirical Analysis of Synthetic-Data-based Anomaly Detection. In Machine Learning and Knowledge Extraction, Cham, August 2022. Springer International Publishing. [ bib | DOI | .pdf ]
[HME22c]
Markus Hittmeir, Rudolf Mayer, and Andreas Ekelhart. Utility and Privacy Assessment of Synthetic Microbiome Data. In Data and Applications Security and Privacy XXXVI, DBSec, Cham, July 2022. Springer International Publishing. [ bib | DOI | .pdf ]
[MM22b]
Andrea Milakovic and Rudolf Mayer. Comparing and Combining Defences against Data-Poisoning-based Backdoor Attacks on Neural Networks. In Data and Applications Security and Privacy XXXVI, DBSec, Cham, July 2022. Springer International Publishing. [ bib | DOI | .pdf ]
[HGA+22]
Gerd Hübscher, Verena Geist, Dagmar Auer, Andreas Ekelhart, Rudolf Mayer, Stefan Nadschläger, and Josef Küng. Graph-based managing and mining of processes and data in the domain of intellectual property. Information Systems, 106, May 2022. [ bib | DOI | .pdf ]
[ME22]
Rudolf Mayer and Andreas Ekelhart. Macro-level Inference in Collaborative Learning. In Proceedings of the Twelveth ACM Conference on Data and Application Security and Privacy, pages 373--375, Baltimore, MD, USA, April 25--27 2022. ACM. [ bib | DOI | http | .pdf ]
[MM22a]
Robin Mayerhofer and Rudolf Mayer. Poisoning Attacks against Feature-Based Image Classification. In Proceedings of the Twelveth ACM Conference on Data and Application Security and Privacy, pages 358--360, Baltimore, MD, USA, April 25--27 2022. ACM. [ bib | DOI | http | .pdf ]
[CM22]
Florencia Cavallin and Rudolf Mayer. Anomaly Detection from Distributed Data Sources via Federated Learning. In 36th International Conference on Advanced Information Networking and Applications (AINA), Sydney, Australia, April 13--15 2022. Springer International Publishing. [ bib | DOI | .pdf ]
[May22]
Rudolf Mayer. Privacy-preserving collaborative anomaly detection to fight cybercrime. ERCIM News, 2022(129):9--10, April 2022. [ bib | http | .pdf ]
[NM22]
Florian Nuding and Rudolf Mayer. Data Poisoning in Sequential and Parallel Federated Learning. In Proceedings of the 2022 ACM on International Workshop on Security and Privacy Analytics, pages 24--34, Baltimore MD USA, April 2022. ACM. [ bib | DOI | http | .pdf ]
[JM22]
Aleksandar Jankovic and Rudolf Mayer. An Empirical Evaluation of Adversarial Examples Defences, Combinations and Robustness Scores. In Proceedings of the 2022 ACM on International Workshop on Security and Privacy Analytics, pages 86--92, Baltimore MD USA, April 2022. ACM. [ bib | DOI | http | .pdf ]
[EEM+22]
Fajar J. Ekaputra, Andreas Ekelhart, Rudolf Mayer, Tomasz Miksa, Tanja Šarčević, Sotirios Tsepelakis, and Laura Waltersdorfer. Semantic-enabled architecture for auditable privacy-preserving data analysis. Semantic Web, pages 1--34, January 2022. [ bib | DOI | http | .pdf ]

2021

[ŠMR21]
Tanja Šarčević, Rudolf Mayer, and Andreas Rauber. Fingerprinting relational data. In UNECE Expert Meeting on Statistical Data Confidentiality, Poznan, Poland, December 1-3 2021. [ bib | .pdf ]
[PM21]
Anastasia Pustozerova and Rudolf Mayer. Data privacy in smart cities - federated learning to the rescue? ERCIM News, 2021(127):9--10, October 2021. [ bib | http | .pdf ]
[ŠM21]
Tanja Šarčević and Rudolf Mayer. Measuring the effectiveness of anonymised data. ERCIM News, 2021(126), July 2021. [ bib | http | .pdf ]
[MŠMW21]
Tomasz Miksa, Tanja Šarčević, Rudolf Mayer, and Laura Waltersdorfer. Wellfort: A platform for privacy-preserving data analysis. ERCIM News, 2021(126), July 2021. [ bib | http | .pdf ]
[HME21]
Markus Hittmeir, Rudolf Mayer, and Andreas Ekelhart. Privacy risks and anonymization of microbiome data. ERCIM News, 2021(126), July 2021. [ bib | http | .pdf ]
[PRM21]
Anastassiya Pustozerova, Andreas Rauber, and Rudolf Mayer. Training Effective Neural Networks on Structured Data with Federated Learning. In International Conference on Advanced Information Networking and Applications (AINA), pages 394--406, Toronto, Canada, May 12--14 2021. Springer International Publishing. [ bib | DOI | www: | .pdf ]
[MSN+21]
Julian Matschinske, Julian Späth, Reza Nasirigerdeh, Reihaneh Torkzadehmahani, Anne Hartebrodt, Balázs Orbán, Sándor Fejér, Olga Zolotareva, Mohammad Bakhtiari, Béla Bihari, Marcus Bloice, Nina C Donner, Walid Fdhila, Tobias Frisch, Anne-Christin Hauschild, Dominik Heider, Andreas Holzinger, Walter Hötzendorfer, Jan Hospes, Tim Kacprowski, Markus Kastelitz, Markus List, Rudolf Mayer, Mónika Moga, Heimo Müller, Anastasia Pustozerova, Richard Röttger, Anna Saranti, Harald HHW Schmidt, Christof Tschohl, Nina K Wenke, and Jan Baumbach. The FeatureCloud AI Store for Federated Learning in Biomedicine and Beyond, May 2021. [ bib | arXiv ]

2020

[HEM20b]
Markus Hittmeir, Andreas Ekelhart, and Rudolf Mayer. Evaluation of synthetic data for privacy-preserving machine learning. ERCIM News, 2020(123):30--31, October 2020. [ bib | http | .pdf ]
[ŠMM20]
Tanja Šarčević, David Molnar, and Rudolf Mayer. An analysis of different notions of effectiveness in k-anonymity. In Privacy in Statistical Databases, pages 121 -- 135, Tarragona, Spain, September 23-25 2020. Springer International Publishing. [ bib | DOI | www: | .pdf ]
[ŠM20]
Tanja Šarčević and Rudolf Mayer. A Correlation-Preserving Fingerprinting Technique for Categorical Data in Relational Databases. In 35th International Conference on ICT Systems Security and Privacy Protection (IFIP SEC 2020), IFIP Advances in Information and Communication Technology, pages 401 -- 415, Maribor, Slovenia, September 21--23 2020. Springer. [ bib | DOI | www: ]
[TNB+20]
Reihaneh Torkzadehmahani, Reza Nasirigerdeh, David B. Blumenthal, Tim Kacprowski, Markus List, Julian Matschinske, Julian Späth, Nina Kerstin Wenke, Béla Bihari, Tobias Frisch, Anne Hartebrodt, Anne-Christin Hausschild, Dominik Heider, Andreas Holzinger, Walter Hötzendorfer, Markus Kastelitz, Rudolf Mayer, Cristian Nogales, Anastasia Pustozerova, Richard Röttger, Harald H. H. W. Schmidt, Ameli Schwalber, Christof Tschohl, Andrea Wohner, and Jan Baumbach. Privacy-preserving artificial intelligence techniques in biomedicine, July 2020. [ bib | arXiv ]
[MHE20]
Rudolf Mayer, Markus Hittmeir, and Andreas Ekelhart. Privacy-preserving anomaly detection using synthetic data. In 34th Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy (DBSec), pages 195 -- 207, Regensburg, Germany, June 25-27 2020. Springer International Publishing. [ bib | DOI | www: | .pdf ]
[HEM20a]
Markus Hittmeir, Andreas Ekelhart, and Rudolf Mayer. A baseline for attribute disclosure risk in synthetic data. In 10th ACM Conference on Data and Application Security and Privacy (CODASPY), New Orleans, LA, United States, March 16-18 2020. [ bib | DOI | www: | .pdf ]
[NM20]
Florian Nuding and Rudolf Mayer. Poisoning Attacks in Federated Learning -- an Evaluation on Traffic Sign Classification. In 10th ACM Conference on Data and Application Security and Privacy (CODASPY), New Orleans, LA, United States, March 16-18 2020. [ bib | DOI | www: | .pdf ]
[PM20]
Anastassiya Pustozerova and Rudolf Mayer. Information Leaks in Federated Learning. In Workshop on Decentralized IoT Systems and Security (DISS), Network and Distributed Systems Security (NDSS) Symposium 2020, San Diego, CA, USA, February 23-26 2020. [ bib | DOI | www: | .pdf ]

2019

[HEM19b]
Markus Hittmeir, Andreas Ekelhart, and Rudolf Mayer. Utility and privacy assessments of synthetic data for regression tasks. In IEEE International Conference on Big Data (IEEE BigData 2019), pages 5763--5772, Los Angeles, CA, United States, December 9-12 2019. [ bib | DOI | www: | .pdf ]
[ŠM19]
Tanja Šarčević and Rudolf Mayer. An evaluation on robustness and utility of fingerprinting schemes. In Machine Learning and Knowledge Extraction: International Cross-Domain Conference (CD-MAKE 2019), volume 11713 of LNCS, Canterbury, United Kingdom, August 26-29 2019. [ bib | DOI | .pdf ]
[REM19]
Huma Rehman, Andreas Ekelhart, and Rudolf Mayer. Backdoor attacks in neural networks - a systematic evaluation on multiple traffic sign datasets. In Machine Learning and Knowledge Extraction: International Cross-Domain Conference (CD-MAKE 2019), volume 11713 of LNCS, Canterbury, United Kingdom, August 26-29 2019. [ bib | DOI | .pdf ]
[HEM19a]
Markus Hittmeir, Andreas Ekelhart, and Rudolf Mayer. On the utility of synthetic data: An empirical evaluation on machine learning tasks. In 14th International Conference on Availability, Reliability and Security (ARES 2019), Canterbury, United Kingdom, August 26-29 2019. [ bib | DOI | www: | .pdf ]
[RME19]
Huma Rehman, Rudolf Mayer, and Andreas Ekelhart. Adversarial Machine Learning. Journal of the Austrian Computer Society (OCG), 44(1):24--25, June 2019. [ bib | .pdf | .pdf ]

2017

[PEM+17]
Niki Popper, Florian Endel, Rudolf Mayer, Martin Bicher, and Barbara Glock. Planning future health: Developing big data and system modelling pipelines for health system research. Simulation Notes Europe, 27(4):203--208, 2017. [ bib | DOI | http | .pdf ]

2016

[TKMW16]
Fuensanta Torres Garcia, Katharina Krombholz, Rudolf Mayer, and Edgar R. Weippl. Hand dynamics for behavioral user authentication. In 5th International Workshop on Security of Mobile Applications (IWSMA 2016), Salzburg, Austria, September 2 2016. [ bib | DOI | .pdf ]

2015

[RMMP15a]
Andreas Rauber, Tomasz Miksa, Rudolf Mayer, and Stefan Proell. Repeatability and Re-Usability in Scientific Processes: Process Context, Data Identification and Verification. In Proceedings of the 17th International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID), Obninsk, Russia, October 2015. [ bib ]
[SP15]
Andreas Rauber Stefan Proell, Rudolf Mayer. Data access and reproducibility in privacy sensitive escience domains. In 11th IEEE International Conference on eScience, Munich, Germany, August 31 -- September 04 2015. [ bib | DOI | www: | .pdf ]
[MR15]
Rudolf Mayer and Andreas Rauber. A quantitative study on the re-executability of publicly shared scientific workflows. In Proceedings of the 11th International Conference on e-Science, pages 312--321, Munich, Germany, August 31 - September 04 2015. IEEE Computer Society. to appear. [ bib | DOI | www: | .pdf ]
[MAC+15]
Rudolf Mayer, Gonçalo Antunes, Artur Caetano, Marzieh Bakhshandeh, Andreas Rauber, and José Borbinha. Using ontologies to capture the semantics of a (business) process for digital preservation. International Journal of Digital Libraries (IJDL), 15:129--152, April 2015. [ bib | DOI | http | .pdf ]
[PMR15]
Stefan Proell, Rudolf Mayer, and Andreas Rauber. Reproducible database queries in privacy sensitive applications. In 8th Vienna International Conference on Mathematical Modelling (MATHMOD2015), Vienna, Austria, February 2015. [ bib | http | .pdf ]
[RMMP15b]
Andreas Rauber, Tomasz Miksa, Rudolf Mayer, and Stefan Pröll. Repeatability and re-usability in scientific processes: Process context, data identification and verification. In Leonid A. Kalinichenko and Sergey Starkov, editors, Selected Papers of the XVII International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2015), Obninsk, Russia,, volume 1536 of CEUR Workshop Proceedings, pages 246--256. CEUR-WS.org, 10 2015. [ bib | .pdf | .pdf ]
[MMR15b]
Tomasz Miksa, Rudolf Mayer, and Andreas Rauber. Raising resilience of web service dependent repository systems. International Journal of Web Information Systems, 11(3):327--346, 7 2015. [ bib | DOI | http | .pdf ]
[MMR15a]
Tomasz Miksa, Rudolf Mayer, and Andreas Rauber. Ensuring sustainability of web services dependent processes. International Journal of Computational Science and Engineering (IJCSE), 10:70--81, 2015. [ bib | DOI | .pdf ]
[BMM+15]
Pascal Bouvry, Rudolf Mayer, Jakub Muszyński, Dana Petcu, Andreas Rauber, Gianluca Tempesti, Tuan Trinh, and Sébastien Varrette. Resilience within ultrascale computing system: Challenges and opportunities from nesus project. Supercomputing Frontiers and Innovations, 2(2), 2015. [ bib | DOI | http | .pdf ]

2014

[MMR14]
Rudolf Mayer, Tomasz Miksa, and Andreas Rauber. Ontologies for describing the context of scientific experiment processes. In Proceedings of the 10th International Conference on e-Science, Guarujá, SP, Brazil, October 20-24 2014. [ bib | DOI | www: | .pdf ]
[MSR14]
Rudolf Mayer, Johannes Binder Stephan Strodl, and Andreas Rauber. Automatic discovery of preservation alternatives supported by community maintained knowledge bases. In Proceedings of the 11th International Conference on Digital Preservation (iPres 2014), pages 65--74, Melbourne, Australia, October 6-10 2014. [ bib | www: | http | .pdf ]
[MRA14]
Rudolf Mayer, Andreas Rauber, and Goncalo Antunes. A context model for digital preservation of processes and its application to a digital library system. In IEEE/ACM Joint Conference on Digital Libraries, pages 459--460, London, United Kingdom, September 2014. IEEE. [ bib | DOI | www: ]
[ABM+14b]
Gonçalo Antunes, Marzieh Bakhshandeh, Rudolf Mayer, José Borbinha, and Artur Caetano. Using Ontologies for Enterprise Architecture Integration and Analysis. Complex Systems Informatics and Modeling Quarterly, 2014(1):1--23, April 2014. [ bib | DOI | .pdf ]
[PPH+14]
Kevin R. Page, Raúl Palma, Piotr Holubowicz, Graham Klyne, Stian Soiland-Reyes, Daniel Garijo, Khalid Belhajjame, and Rudolf Mayer. Research objects for audio processing:capturing semantics for reproducibility. In Proceedings of the 53rd AES International Conference on Semantic Audio (AES 2014), volume 53, London, January 27-29 2014. AES Audio Engineering Society. [ bib | www: | http | .pdf ]
[MMUR14]
Tomasz Miksa, Rudolf Mayer, Marco Unterberger, and Andreas Rauber. Resilient web services for timeless business processes. In Proceedings of the 16th International Conference on Information Integration and Web-Based Applications & Services, iiWAS ’14, page 243–252, New York, NY, USA, 2014. Association for Computing Machinery. [ bib | DOI | www: | http ]
[MMS+14]
Tomasz Miksa, Rudolf Mayer, Stephan Strodl, Andreas Rauber, Ricardo Vieira, and Goncalo Antunes. Risk driven selection of preservation activities for increasing sustainability of open source systems and workflows. In Serena Coates, Ross King, Steve Knight, Christopher A. Lee, Peter McKinney, Erin O'Meara, and David Pearson, editors, Proceedings of the 11th International Conference on Digital Preservation, iPRES 2014, Melbourne, Australia, October 6 - 10, 2014, 10 2014. [ bib | http | .pdf ]
[ABM+14a]
Gonçalo Antunes, Marzieh Bakhshandeh, Rudolf Mayer, José Borbinha, and Artur Caetano. Ontology-based enterprise architecture model analysis. In Proceedings of the 29th Annual ACM Symposium on Applied Computing, SAC '14, page 1420–1422, New York, NY, USA, 2014. Association for Computing Machinery. [ bib | DOI | www: | http ]

2013

[MPR+13]
Rudolf Mayer, Stefan Pröll, Andreas Rauber, Raúl Palma, and Daniel Garijo. Tutorial 'From Preserving Data to Preserving Research: Curation of Process and Context'. In Proceedings of the 17th International Conference on Theory and Practice of Digital Libraries (TPDL 2013), volume 8092 of Lecture Notes in Computer Science, pages 490--491, Malta, September 22-26 2013. Springer. [ bib | DOI | www: | http | .pdf ]
[MGR13]
Rudolf Mayer, Mark Guttenbrunner, and Andreas Rauber. Evaluation of preserved scientific processes. In Proceedings of the 17th International Conference on Theory and Practice of Digital Libraries (TPDL 2013), volume 8092 of Lecture Notes in Computer Science, pages 434--437, Malta, September 22-26 2013. Springer. [ bib | DOI | www: | http | .pdf ]
[ABM+13]
Gonçalo Antunes, Marzieh Bakhshandeh, Rudolf Mayer, José Borbinha, and Artur Caetano. Using ontologies for enterprise architecture analysis. In Proceedings of the 8th Trends in Enterprise Architecture Research Workshop (TEAR 2013), in conjunction with the 17th IEEE International EDOC Conference (EDOC 2013), Vancouver, British Columbia, Canada, September 9-13 2013. [ bib | DOI | www: | www: | .pdf ]
[BAM+13]
Marzieh Bakhshandeh, Gonçalo Antunes, Rudolf Mayer, José Borbinha, and Artur Caetano. A modular ontology for the enterprise architecture domain. In Proceedings of the 8th International Workshop on Vocabularies, Ontologies and Rules for the Enterprise and Beyond (VORTE 2013), in conjunction with the 17th IEEE International EDOC Conference (EDOC 2013), Vancouver, British Columbia, Canada, September 9-13 2013. [ bib | DOI | www: | www: | .pdf ]
[SMA+13]
Stephan Strodl, Rudolf Mayer, Goncalo Antunes, Daniel Draws, and Andreas Rauber. Digital preservation of a process and its application to e-science experiments. In Proceedings of the 10th International Conference on Preservation of Digital Objects (IPRES2013), pages 117--125, Lisbon, Portugal, September 2013. [ bib | .pdf ]
[MPM+13]
Tomasz Miksa, Stefan Proell, Rudolf Mayer, Stephan Strodl, Ricardo Vieira, Jose Barateiro, and Andreas Rauber. Framework for verification of preserved and redeployed processes. In 10th International Conference on Preservation of Digital Objects (IPRES2013), September 2013. [ bib ]
[ACB+13]
Gonçalo Antunes, Artur Caetano, Marzieh Bakhshandeh, Rudolf Mayer, and José Borbinha. Using ontologies to integrate multiple enterprise architecture domains. In Proceedings of the 4th Workshop on Business and IT Alignment (BITA 2013), pages 61--72, Poznan, Poland, June 19 2013. [ bib | DOI | www: | http | .pdf ]

2012

[SMR12]
Alexander Schindler, Rudolf Mayer, and Andreas Rauber. Facilitating comprehensive benchmarking experiments on the million song dataset. In Proceedings of the 13th International Society for Music Information Retrieval Conference (ISMIR 2012), pages 469--474, Porto, Portugal, October 8-12 2012. [ bib | www: | .pdf ]
[MR12]
Rudolf Mayer and Andreas Rauber. Towards Time-resilient MIR Processes. In Proceedings of the 13th International Society for Music Information Retrieval Conference (ISMIR 2012), pages 337--342, Porto, Portugal, October 8-12 2012. [ bib | DOI | www: | http | .pdf ]
[MSR12]
Rudolf Mayer, Stephan Strodl, and Andreas Rauber. On the complexity of process preservation: A case study on an e-science experiment. In Proceedings of the 9th International Conference on Digital Preservation (iPres 2012), Toronto, Canada, October 1-5 2012. [ bib | www: | .pdf ]
[MPR12]
Rudolf Mayer, Stefan Pröll, and Andreas Rauber. On the applicability of workflow management systems for the preservation of business processes. In Proceedings of the 9th International Conference on Digital Preservation (iPres 2012), pages 58--65, Toronto, Canada, October 1-5 2012. [ bib | www: | .pdf ]
[NMT+12]
Martin Alexander Neumann, Hossein Miri, John Thomson, Gonçalo Antunes, Rudolf Mayer, and Michael Beigl. Towards a decision support architecture for digital preservation of business processes. In Proceedings of the 9th International Conference on Digital Preservation (iPres 2012), pages 74--81, Toronto, Canada, October 1-5 2012. [ bib | www: | .pdf ]
[MRN+12]
Rudolf Mayer, Andreas Rauber, Martin Alexander Neumann, John Thomson, and Gonçalo Antunes. Preserving scientific processes from design to publication. In Proceedings of the 16th International Conference on Theory and Practice of Digital Libraries (TPDL 2012), volume 7489 of Lecture Notes in Computer Science, pages 113--124, Cyprus, September 23-29 2012. Springer. [ bib | DOI | www: | .pdf ]

2011

[MR11a]
Rudolf Mayer and Andreas Rauber. Musical Genre Classification by Ensembles of Audio and Lyrics Features. In Proceedings of the 12th International Society for Music Information Retrieval Conference (ISMIR 2011), pages 675--680, Miami Beach, FL, USA, October 24-28 2011. [ bib | DOI | www: | http | .pdf ]
[MR11b]
Rudolf Mayer and Andreas Rauber. On Wires and Cables: Content Analysis of WikiLeaks Using Self-Organising Maps. In Proceedings of the 8th Workshop on Self-Organizing Maps (WSOM'11), volume 6731 of Lecture Notes in Computer Science, pages 238--246. Springer Berlin / Heidelberg, June 13-15 2011. [ bib | DOI | .pdf ]
[May11]
Rudolf Mayer. Analysing the Similarity of Album Art with Self-Organsing Maps. In Proceedings of the 8th Workshop on Self-Organizing Maps (WSOM'11), volume 6731 of Lecture Notes in Computer Science, pages 357--366. Springer Berlin / Heidelberg, June 13-15 2011. [ bib | DOI | .pdf ]
[NMN11]
Robert Neumayer, Rudolf Mayer, and Kjetil Nørvåg. Combination of Feature Selection Methods for Text Categorisation. In Proceedings of the 33rd European Conference on Information Retrieval (ECIR'11), pages 763--766, Dublin, Ireland, April 19-21 2011. [ bib | DOI | www: | .pdf ]

2010

[MRdL+10]
Rudolf Mayer, Andreas Rauber, Pedro J. Ponce de León, Carlos Pérez-Sancho, and José M. Iñesta. Feature Selection in a Cartesian Ensemble of Feature Subspace Classifiers for Music Categorisation. In Proceedings of the ACM Multimedia Workshop on Music and Machine Learning (MML 2010), pages 53--56, Florence (Italy), October 25 2010. ACM. [ bib | www: | .pdf ]
[MR10c]
Rudolf Mayer and Andreas Rauber. Visualising Clusters in Self-Organising Maps with Minimum Spanning Trees. In Proceedings of the International Conference on Artificial Neural Networks (ICANN'10), volume 6353 of LNCS, pages 426--431, Thessaloniki, Greece, September 15 - 18 2010. Springer. [ bib | DOI | .pdf ]
[LMR+10]
Thomas Lidy, Rudolf Mayer, Andreas Rauber, Pedro J. Ponce de León, Antonio Pertusa, and José M. Iñesta. A cartesian ensemble of feature subspace classifiers for music categorization. In J. Stephen Downie and Remco C. Veltkamp, editors, Proceedings of the 11th International Society for Music Information Retrieval Conference (ISMIR 2010), pages 279--284, Utrecht, The Netherlands, August 9-13 2010. International Society for Music Information Retrieval, International Society for Music Information Retrieval. [ bib | www: | .pdf ]
[MR10a]
Rudolf Mayer and Andreas Rauber. Building ensembles of audio and lyrics features to improve musical genre classification. In 2010 International Conference on Distributed Frameworks for Multimedia Applications, Yogyakarta, Indonesia, August 2-3 2010. [ bib | www: ]
[MR10b]
Rudolf Mayer and Andreas Rauber. Machine Learning Techniques for Multimedia, volume 274 of Studies in Computational Intelligence, chapter Multimodal Aspects of Music Retrieval: Audio, Song Lyrics - and Beyond?, pages 333--363. Springer Berlin Heidelberg, 2010. [ bib | www: | http | .pdf ]

2009

[MFR09]
Rudolf Mayer, Jakob Frank, and Andreas Rauber. Analytic Comparison of Audio Feature Sets using Self-Organising Maps. In Proceedings of the Workshop on Exploring Musical Information Spaces, ECDL 2009, pages 62--67, Corfu, Greece, October 1-2 2009. [ bib | www: | .pdf ]
[MN09]
Rudolf Mayer and Robert Neumayer. Multi-modal Analysis of Music: A large-scale Evaluation. In Proceedings of the Workshop on Exploring Musical Information Spaces, ECDL 2009, pages 30--36, Corfu, Greece, October 1-2 2009. [ bib | www: | .pdf ]
[MNR09a]
Rudolf Mayer, Robert Neumayer, and Andreas Rauber. Data Recovery from Distributed Personal Repositories. In Proceedings of the European Conference on Research and Advanced Technology for Digital Libraries (ECDL'09), Corfu, Greece, September 27 - October 2 2009. Springer. [ bib | .pdf ]
[MR09]
Rudolf Mayer and Andreas Rauber. Establishing Context of Digital Objects' Creation, Content and Usage. In Proceedings of the First International Workshop on Innovation in Digital Preservation (InDP 2009), Austin, TX, USA, June 19 2009. [ bib | .pdf ]
[MNBR09]
Rudolf Mayer, Robert Neumayer, Doris Baum, and Andreas Rauber. Analytic Comparison of Self-Organising Maps. In Proceedings of the 7th Workshop on Self-Organizing Maps (WSOM'09), pages 182--190, St. Augustine, Fl, USA, June 8-10 2009. [ bib | .pdf ]
[MNR09b]
Rudolf Mayer, Robert Neumayer, and Andreas Rauber. Interacting with (Semi-) Automatically Extracted Context of Digital Objects. In Proceedings of the Workshop on Context, Information And Ontologies (CIAO '09), New York, NY, USA, June 1 2009. ACM. [ bib | DOI | www: | .pdf ]

2008

[MNR08a]
Rudolf Mayer, Robert Neumayer, and Andreas Rauber. Combination of Audio and Lyrics Features for Genre Classification in Digital Audio Collections. In Proceedings of the ACM Multimedia 2008, pages 159--168. ACM New York, NY, USA, October 27-31 2008. [ bib | DOI | www: | www: | .pdf ]
[MNR08b]
Rudolf Mayer, Robert Neumayer, and Andreas Rauber. Rhyme and Style Features for Musical Genre Classification by Song Lyrics. In Proceedings of the 9th International Conference on Music Information Retrieval (ISMIR'08), pages 351--352, September 14-18 2008. [ bib | DOI | www: | http | .pdf ]
[MRR08]
Rudolf Mayer, Angela Roiger, and Andreas Rauber. Map-based Interfaces for Information Management in Large Text Collections. Journal of Digital Information Management, 6(4):294--302, August 2008. [ bib | .pdf ]
[PMR08]
Andreas Pesenhofer, Rudolf Mayer, and Andreas Rauber. Automating the Management of Scientific Conferences using Information Mining Techniques. Journal of Digital Information Management, 6(1):3--11, February 2008. [ bib | .pdf ]
[GCM08]
Derek Green, Pádraig Cunningham, and Rudolf Mayer. Machine Learning Techniques for Multimedia, chapter Unsupervised Learning and Clustering, pages 51--90. Cognitive Technologies. Springer Berlin Heidelberg, 2008. [ bib | DOI | http ]

2007

[MRR07a]
Rudolf Mayer, Angela Roiger, and Andreas Rauber. Supporting Information Management in Digital Libraries with Map-based Interfaces. In Proceedings of the 2nd IEEE International Conference on Digital Information Management (ICDIM'07). IEEE, October 28-31 2007. [ bib | .pdf ]
[MRR07b]
Rudolf Mayer, Angela Roiger, and Andreas Rauber. Supporting Information Management in Digital Libraries with Map-based Interfaces. In Proceedings of the European Conference on Research and Advanced Technology for Digital Libraries (ECDL'07), Budapest, Hungary, September 16-21 2007. Springer. [ bib | .pdf ]
[MAR07]
Rudolf Mayer, Taha Abdel Aziz, and Andreas Rauber. Visualising Class Distribution on Self-Organising Maps. In Proceedings of the International Conference on Artificial Neural Networks (ICANN'07), volume 4669 of LNCS, pages 359--368, Heidelberg, September 9-13 2007. Springer. [ bib | www: | .pdf ]
[LM07]
Khalid Latif and Rudolf Mayer. Sky-Metaphor Visualisation for Self-Organising Maps. In Proceedings of the 7th International Conference on Knowledge Management (I-KNOW'07), Graz, Austria, September 5-7 2007. [ bib | .pdf ]
[NMR07]
Robert Neumayer, Rudolf Mayer, and Andreas Rauber. Component Selection for the Metro Visualisation of the SOM. In Proceedings of the 6th International Workshop on Self-Organizing Maps (WSOM'07), Bielefeld, Germany, September 3-6 2007. [ bib ]
[NMPR07]
Robert Neumayer, Rudolf Mayer, Georg Pölzlbauer, and Andreas Rauber. The Metro Visualisation of Component Planes for Self-Organising Maps. In Proceedings of the International Joint Conference on Neural Networks (IJCNN'07), Orlando, FL, USA, August 12 - 17 2007. IEEE Computer Society. [ bib | .pdf ]

2006

[PMR06]
Andreas Pesenhofer, Rudolf Mayer, and Andreas Rauber. Improving Scientific Conferences by Enhancing Conference Management Systems with Information Mining Capabilities. In Proceedings of the 1st IEEE International Conference on Digital Information Management (ICDIM'06), pages 359--366, Bangalore, India, December 6-8 2006. IEEE. IEEE Catalog Number: 06EX1549. [ bib | www: | .pdf ]
[MR06]
Rudolf Mayer and Andreas Rauber. Adding SOMLib capabilities to the Greenstone Digital LibrarySystem. In Proceedings of the 9th International Conference on Asian Digital Libraries (ICADL'06), pages 486--489, November 27-30 2006. [ bib | .pdf ]
[MLR06b]
Rudolf Mayer, Thomas Lidy, and Andreas Rauber. The Map of Mozart. In Proceedings of the 7th International Conference on Music Information Retrieval (ISMIR'06), pages 351--352, October 8-12 2006. [ bib | DOI | http | .pdf ]
[MLR06a]
Rudolf Mayer, Thomas Lidy, and Andreas Rauber. Map of Mozart. Journal of the Austrian Computer Society (OCG), 31(2):12--13, June 2006. [ bib | .pdf ]

2005

[RDB+05]
Andreas Rauber, Michael Dittenbach, Helmut Berger, Andreas Pesenhofer, Georg Pölzlbauer, Natalya Sokolovska, Rudolf Mayer, Thomas Lidy, and Robert Neumayer. Detecting and exploring semantic concepts in unstructured data. In Proceedings of the International Symposium on Semantic Systems in the Knowledge Society - Challenges & Opportunities, Vienna, Austria, November 23 - 25 2005. OCG. [ bib ]
[MMR05]
Rudolf Mayer, Dieter Merkl, and Andreas Rauber. Mnemonic SOMs: Recognizable Shapes for Self-Organizing Maps. In Proceedings of the Fifth Workshop on Self-Organizing Maps (WSOM'05), pages 131--138, Paris, France, September 5-8 2005. [ bib | .pdf ]

2004

[May04a]
Rudolf Mayer. Recognisable Shapes for Self-Organizing Maps. In Proceedings of the Fifth Workshop on Data Analysis (WDA'04), pages 67--82, Sliezsky dom, Vysoké Tatry, Slovakia, June 24-27 2004. Elfa Academic Press. [ bib | www: ]
[May04b]
Rudolf Mayer. Text mining with adaptive neural networks. Master's thesis, Vienna University of Technology, 2004. [ bib ]