Hasso-Plattner-Institut
HPI Digital Health Center
  
 

Publications

2019

  • Freitas da Cruz, H., Bergner, B., Konak, O., Schneider, F., Bode, P., Lempert, C., Schapranow, M.: MORPHER – A Platform to Support Modeling of Outcome and Risk Prediction in Health Research. Proceedings of the 19th IEEE International Conference on Bioinformatics and Biomedicine. , Athens, Greece (2019).
     
  • Konak, O., Freitas Da Cruz, H., Thiele, M., Golla, D., Schapranow, M.-P.: An Information and Communication Platform Supporting Analytics for Elderly Care. 5th International Conference on Information for Ageing Well, Communication Technologies e Health (2019).
     
  • Moontaha, S., Galka, A., Siniatchkin, M., Scharlach, S., von Spiczak, S., Stephani, U., May, T., Meurer, T.: SVD Square-root Iterated Extended Kalman Filter for Modeling of Epileptic Seizure Count Time Series with External Inputs. 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society. (2019).
     
  • Scharlach, S., Moontaha, S., von Spiczak, S., Stephani, U., Siniatchkin, M., May, T., Galka, A., Meurer, T.: Bewertung von Therapieeffekten bei Epilepsie: Eine vergleichende Analyse zwischen Cox-Stuart-Berechnung und Zustandsraum-Modellierung. 11. Gemeinsame Jahrestagung der Deutschen und Österreichischen Gesellschaft für Epileptologie sowie der Schweizerischen Epilepsie-Liga. (2019).
     
  • Morassi Sasso, A., Datta, S., Pfitzner, B., Zhou, L., Steckhan, N., Boettinger, E., Arnrich, B.: Unobtrusive Measurement of Blood Pressure During Lifestyle Interventions. Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare - Demos and Posters. EAI, Trento (2019).
     
  • Romo Ventura, E., Konigorski, S., Rohrmann, S., Schneider, H., Stalla, G.K., Pischon, T., Linseisen, J., Nimptsch, K.: Association of dietary intake of milk and dairy products with blood concentrations of insulin-like growth factor 1 (IGF-1) in Bavarian adults. European Journal of Nutrition. (2019).
     
  • Nimptsch, K., Konigorski, S., Pischon, T.: Diagnosis of obesity and use of obesity biomarkers in science and clinical medicine. Metabolism. 92, 61--70 (2019).
     
  • Steckhan, N., Arnrich, B.: Digital Transformation of Complementary and Alternative Medicine (Accepted Presubmission). Complementary Medicine Research. (2019).
     
  • Freitas da Cruz, H., Horschig, S., Nusshag, C., Schapranow, M.-P.: Knowledge Distillation from Machine Learning Models for Prediction of Hemodialysis Outcomes. International Journal On Advances in Life Sciences. 11, 33-43 (2019).
     
  • Netzahualcoyotl, H., Demiray, B., Arnrich, B., Favela, J.: An Exploratory Study to Detect Temporal Orientation Using Bluetooth's sensor. 13th EAI International Conference on Pervasive Computing Technologies for Healthcare. 292-297 (2019).
     
  • Hernández, N., Arnrich, B., Favela, J., Ersoy, C., Demiray, B., Fontecha, J.: A multi-site study on walkability, data sharing and privacy perception using mobile sensing data gathered from the mk-sense platform. Journal of Ambient Intelligence and Humanized Computing. 10, 2199-2211 (2019).
     
  • Yekta Said, C., Arnrich, B., Ersoy, C.: Stress detection in daily life scenarios using smart phones and wearable sensors: A survey. Journal of Biomedical Informatics. 92, 103139 (2019).
     
  • Slosarek, T., Kraus, M., Schapranow, M.-P., Boettinger, E.: Qualitative Comparison of Selected Indel Detection Methods for RNA-Seq Data. International Work-Conference on Bioinformatics and Biomedical Engineering. pp. 166-177. Springer (2019).
     
  • Muñoz-González, L., Pfitzner, B., Russo, M., Carnerero-Cano, J., Lupu, E.C.: Poisoning Attacks with Generative Adversarial Nets. arXiv:1906.07773. (2019).
     
  • Freitas da Cruz, H., Schneider, F., Schapranow, M.-P.: Prediction of Acute Kidney Injury in Cardiac Surgery Patients: Interpretation using Local Interpretable Model-agnostic Explanations. Proceedings of the 12th International Conference on Biomedical Engineering Systems and Technologies. pp. 380-387. , Prague, Czech Republic (2019).
     
  • Morassi Sasso, A., Datta, S., Pfitzner, B., Zhou, L., Steckhan, N., Boettinger, E., Arnrich, B.: Unobtrusive Measurement of Blood Pressure During Lifestyle Interventions. Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare - Demos and Posters. EAI, Trento (2019).
     
  • Freitas da Cruz, H., Pfahringer, B., Schneider, F., Meyer, A., Schapranow, M.-P.: External Validation of a “Black-Box” Clinical Predictive Model in Nephrology: Can Interpretability Methods Help Illuminate Performance Differences? Proceedings of 17th Conference on Artificial Intelligence in Medicine. pp. 191-201 (2019).
     
  • Drimalla, H., Landwehr, N., Baskow, I., Behnia, B., Roepke, S., Dziobek, I., Scheffer, T.: Detecting autism by analyzing a simulated social interaction. In: Berlingerio, M., Bonchi, F., Gärtner, T., Hurley, N., and Ifrim, G. (eds.) Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2018. Lecture Notes in Computer Science. Springer, Cham (2019).
     
  • Avery, E.G., Balogh, A., Bartolomaeus, H., Löber, U., Steckhan, N., Markó, L., Wilck, N., Hamad, I., Šušnjar, U., Mähler, A., Hohmann, C., Lesker, T.R., Strowig, T., Dechend, R., Bzdok, D., Kleinewietfeld, M., Andreas, M., Müller, D.N., Forslund, S.K.: Integrative Network Analysis Of Microbiome-Immune Axis In Metabolic Syndrome Patients During A Fasting Intervention. Hypertension. 74, (2019).
     

2018

  • Freitas da Cruz, H., Horschig, S., Nusshag, C., Schapranow, M.-P.: Prediction of Patient Outcomes after Renal Replacement Therapy in Intensive Care. Proceedings of the 3rd International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing (2018).
     
  • Moontaha, S., Galka, A., Meurer, T., Siniatchkin, M.: Analysis of the effects of medication for the treatment of epilepsy by ensemble Iterative Extended Kalman Filtering. 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. (2018).
     
  • Hesse, G., Reissaus, B., Matthies, C., Lorenz, M., Kraus, M., Uflacker, M.: Senska - Towards an Enterprise Streaming Benchmark. Performance Evaluation and Benchmarking for the Analytics Era: 9th TPC Technology Conference, TPCTC 2017, Munich, Germany, August 28, 2017, Revised Selected Papers. pp. 25-40. Springer International Publishing (2018).
     
  • Kraus, M., Hesse, G., Slosarek, T., Danner, M., Kesar, A., Bhushan, A., Schapranow, M.-P.: DEAME-Differential Expression Analysis Made Easy. Heterogeneous Data Management, Polystores, and Analytics for Healthcare. p. 162--174. Springer (2018).
     
  • Freitas da Cruz, H., Gebhardt, M., Becher, F., Schapranow, M.-P.: Interactive Data Exploration Supporting Elderly Care Planning. Proceedings of the 10th International Conference on eHealth, Telemedicine, and Social Medicine (2018).
     
  • Oleynik, M., Faessler, E., Sasso, A.M., Kappattanavar, A., Bergner, B., da Cruz, H.F., Sachs, J.-P., Datta, S., Boettinger, E.: HPI-DHC at TREC 2018 Precision Medicine Track. Notebook papers of the TREC 2018 conference. pp. 1-9 (2018).
     
  • Drimalla, H., Dziobek, I.: Facial EMG-Data of the Multifaceted Empathy Task (MET), (2018).
     
  • Konigorski, S., Khorasani, S., Lippert, C.: Integrating omics and MRI data with kernel-based tests and CNNs to identify rare genetic markers for Alzheimer's disease. Machine Learning for Health (ML4H) Workshop at NeurIPS 2018, arXiv:1812.00448 (2018).
     
  • Drimalla, H., Landwehr, N., Baskow, I., Behnia, B., Roepke, S., Dziobek, I., Scheffer, T.: Detecting Autism by Analyzing a Simulated Social Interaction. (2018).
     
  • Drimalla, H., Baskow, I., Roepke, S., Behnia, B., Dziobek, I.: Imitation und Erkennung von Emotionen bei Autismus-Spektrum-Störungen - eine computerbasierte Analyse des fazialen Emotionsausdrucks. (2018).
     
  • Drimalla, H., Böttinger, E.: ForME: Forecasting Mental Earthquakes. (2018).
     
  • Drimalla, H., Baskow, I., Roepke, S., Behnia, B., Dziobek, I.: Mimisches Verhalten bei Autismus-Spektrum-Störungen: Mit Maschinellem Lernen zur automatisierten Diagnose? (2018).
     

2017

  • Yoshiura, V.T., Azevedo-Marques, J.~ao M., Rzewuska, M., Vinci, A.L.T., Sasso, A.M., Miyoshi, N.S.B.~ao, Furegato, A.R.F., Rijo, R.P.C.L., Del-Ben, C.M., Alves, D.: A web-based information system for a regional public mental healthcare service network in Brazil. International journal of mental health systems. 11, 1 (2017).
     
  • Schapranow, M.-P.: Die digitale Transformation mitgestalten — Der Datenspendeausweis: Souveräner Umgang mit persönlichen Gesundheitsdaten. Plattform Life Sciences. 38--39 (2017).
     
  • Kraus, M., Schapranow, M.-P.: An In-Memory Database Platform for Systems Medicine. Proceedings of the International Conference on Bioinformatics and Computational Biology. p. 93--100. The International Society for Computers and Their Applications (ISCA) (2017).
     
  • Kraus, M., Niedermeier, J., Jankrift, M., Tietboehl, S., Stachewicz, T., Folkerts, H., Uflacker, M., Neves, M.: Olelo: a web application for intuitive exploration of biomedical literature. Nucleic acids research. (2017).
     
  • Schaar, K., Geisler, A., Kraus, M., Pinkert, S., Pryshliak, M., Spencer, J.F., Tollefson, A.E., Ying, B., Kurreck, J., Wold, W.S., others,: Anti-adenoviral artificial MicroRNAs expressed from AAV9 vectors inhibit human adenovirus infection in immunosuppressed Syrian hamsters. Molecular Therapy-Nucleic Acids. 8, 300--316 (2017).
     
  • Neves, M., Folkerts, H., Jankrift, M., Niedermeier, J., Stachewicz, T., Tietböhl, S., Kraus, M., Uflacker, M.: Olelo: A Question Answering Application for Biomedicine. ACL'17 Demo (2017).
     
  • Schapranow, M.-P., Brauer, J., Plattner, H.: The Data Donation Pass: Enabling Sovereign Control of Personal Healthcare Data. Proceedings of the World Congress in Computer Science, Computer Engineering, and Applied Computing. CSCE (2017).
     
  • Moontaha, S., von Spiczak, S., Scharlach, S., Doege, C., Boor, R., May, T., Stephani, U., Siniatchkin, M., Galka, A.: Evaluation der Therapieeffekte antikonvulsiver Medikamente bei Kindern mit strukturell bedingter Epilepsie mittels Zustandsraum-Modellierung. 43. Jahrestagung der Gesellschaft für Neuropädiatrie. 1-45 (2017).
     
  • Hildenbrand, D., Albert, J., Charrier, P., Steinmetz, C.: Geometric Algebra Computing for Heterogeneous Systems. Advances in Applied Clifford Algebras. 27, 599-620 (2017).
     

2016

  • Schapranow, M.-P.: Datenspendeausweis für ­Bürger: Ein Plädoyer für mündige Patienten, die die eigenen Gesundheitsdaten am besten verstehen. Management & Krankenhaus. (2016).
     
  • Drimalla, H., Dziobek, I.: The Role of Facial Mimicry in Cognitive and Emotional Empathy and Effects of Autistic Traits. Proceedings of the 13th Biannual Conference of the German Cognitive Science Society. , Bremen (2016).
     
  • Moebert, T., Höfler, J., Jank, H., Drimalla, H., Belmega, T., Zender, R., Lucke, U.: Ein Autorensystem zur Erstellung von adaptiven mobilen Mikrolernanwendungen. Die 14. e-Learning Fachtagung Informatik (DeLFI) (2016).
     
  • Cruz, H., Grasnick, S., Dinger, H.: ADRiAS: Acute Disease Risk Assessment System. (2016).
     
  • Schapranow, M.-P., Kraus, M., Danner, M., Plattner, H.: IMDBfs: Bridging the Gap between In-Memory Database Technology and File-Based Tools for Life Sciences. Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine. p. 1133--1139. IEEE (2016).
     
  • Neves, M., Kraus, M.: BioMedLAT Corpus: Annotation of the Lexical Answer Type for Biomedical Questions. OKBQA 2016. p. 49 (2016).
     
  • Freitas da Cruz, H., Grasnick, B., Dinger, H., Bier, F., Meinel, C.: Early Detection of Acute Kidney Injury with Bayesian Networks. Proceedings of the 7th International Symposium on Semantic Mining in Biomedicine. pp. 29-36 (2016).
     
  • Schapranow, M.-P., Uflacker, M., Sariyar, M., Semler, S., Fichte, J., Schielke, D., Ekinci, K., Zahn, T.: Towards An Integrated Health Research Process: A Cloud-based Approach. Proceedings of The IEEE International Conference on Big Data. 2813--2818 (2016).
     
  • Schapranow, M.-P.: Die In-Memory-Technologie in der personalisierten Medizin, https://news.sap.com/germany/die-in-memory-technologie-in-der-personalisierten-medizin/, (2016).
     
  • Rückert, L.: Real-time Exploration of Healthcare Data using In-Memory Database Technology, (2016).
     
  • Horschig, F.: Prediction of Health Research Data using In-Memory Database Technology, (2016).
     
  • Postel, M.: Geographical Exploration of Key Performance Indicators for Elderly Care Planning, (2016).
     

2015

  • Denecke, K., Mall, S., Fähnrich, C., Perscheid, C., Adeoye, O.O., Benzler, J., Claus, H., Kirchner, G., Richter, R., Schapranow, M.-P., Schwarz, N., Reigl, L., Tom-Aba, D., Gidado, S., Waziri, N.E., Uflacker, M., Krause, G., Poggensee, G.: „Surveillance and Outbreak Response Management and Analysis System (SORMAS)“ ermöglicht Kontrolle von Ebola-Infizierten in Westafrika. 10. Jahrestagung der Deutschen Gesellschaft für Epidemiologie (DGEpi) (2015).
     
  • Dobkwicz, M., Jüttner, T., Freitas da Cruz, H., Heidtke, K., Finkenwirth, T., Kunze, S., Hänold, S., Nwankwo, I., Forgó, N., Schröder, C., Graf, N.: Implementation and Demonstration of the p-BioSPRE Metabiobank Platform. Demo at the 15th World Congress on Health and Biomedical Informatics (2015).
     
  • Schapranow, M.-P., Perscheid, C., Wachsmann, A., Siegert, M., Bock, C., Horschig, F., Liedke, F., Brauer, J., Plattner, H.: A Federated In-Memory Database System For Life Sciences. Proceedings of the 9th International Workshop on Business Intelligence for the Real Time Enterprise (BIRTE) (2015).
     
  • Fähnrich, C., Denecke, K., Adeoye, O., Benzler, J., Claus, H., Kirchner, G., Mall, S., Richter, R., Schapranow, M.-P., Schwarz, N.G., Tom-Aba, D., Uflacker, M., Poggensee, G., Krause, G.: Surveillance and Outbreak Response Management System (SORMAS) to support the control of the Ebola virus disease outbreak in West Africa. Euro Surveillance. (2015).
     
  • Wolf, O.T., Schulte, J.M., Drimalla, H., Hamacher-Dang, T., Knoch, D., Dziobek, I.: Enhanced emotional empathy after psychosocial stress in young healthy men. Stress. 18, 631-637 (2015).
     
  • Schapranow, M.-P., Perscheid, C., Plattner, H.: IT-Aided Business Process Enabling Real-time Analysis of Candidates for Clinical Trials. Proceedings of the 4th International Conference on Global Health Challenges. pp. 67-73. IARIA (2015).
     
  • Fähnrich, C., Schapranow, M.-P., Plattner, H.: Facing the Genome Data Deluge: Efficiently Identifying Genetic Variants with In-Memory Database Technology. Proceedings of the ACM Symposium on Applied Computing (2015).
     
  • Patr~ao, D.F.C., Oleynik, M., Massicano, F., Sasso, A.M.: Recruit-An Ontology Based Information Retrieval System for Clinical Trials Recruitment. MedInfo. p. 534--538 (2015).
     
  • Massicano, F., Sasso, A., Tomaz, H., Oleynik, M., Nobrega, C., Patrao, D.F.C.: An Ontology for TNM Clinical Stage Inference. ONTOBRAS (2015).
     
  • Schapranow, M.-P., Kraus, M., Perscheid, C., Bock, C., Liedtke, F., Plattner, H.: The Medical Knowledge Cockpit: Real-time Analysis of Big Medical Data Enabling Precision Medicine. Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM). pp. 770-775 (2015).
     

2014

  • Schapranow, M.-P., Klinghammer, K., Fähnrich, C., Plattner, H.: In-Memory Technology Enables Interactive Drug Response Analysis. 16th International Conference on e-Health Networking, Applications and Services (Healthcom 2014) (2014).
     
  • Schapranow, M.-P., Klinghammer, K., Fähnrich, C., Plattner, H.: An Optimized Research Process for Real-time Drug Response Analysis. The Third International Conference on Global Health Challenges (2014).
     
  • Schapranow, M.-P., Plattner, H.: High-Performance In-Memory Genome Data Analysis: How In-Memory Database Technology Accelerates Personalized Medicine. Springer (2014).
     
  • Haeger, F., Schapranow, M.-P., Fähnrich, C., Ziegler, E., Plattner, H.: In-Memory Computing Enabling Real-time Genome Data Analysis. International Journal on Advances in Life Sciences, Vol 6, Nr 1-2. (2014).
     
  • Herbst, K., Fähnrich, C., Neves, M., Schapranow, M.-P.: Applying In-Memory Technology for Automatic Template Filling in the Clinical Domain. CLEF 2014 Evaluation Labs and Workshop, Online Working Notes (2014).
     
  • Fähnrich, C., Schapranow, M.-P., Plattner, H.: Towards Integrating the Detection of Genetic Variants into an In-Memory Database. Proceedings of the International Conference on Big Data (2014).
     

2013

  • Schapranow, M.-P., Meinel, C., Plattner, H.: Big Data soll Genom-Analysen schneller voranbringen. Krankenhaus-IT Journal, p. 26. (2013).
     
  • Haeger, F., Plattner, H., Schapranow, M.-P.: High-Performance In-Memory Genome Project: A Platform for Integrated Real-Time Genome Data Analysis. Proceedings of the 2nd International Conference on Global Health Challenges. pp. 5-10 (2013).
     
  • Schapranow, M.-P., Plattner, H., Tosun, C., Regenbrecht, C.: Mobile Real-time Analysis of Patient Data for Advanced Decision Support in Personalized Medicine. The 5th International Conference on eHealth, Telemedicine, and Social Medicine, pp. 129-136 (2013).
     
  • Schapranow, M.-P., Plattner, H., Meinel, C.: Applied In-Memory Technology for High-Throughput Genome Data Processing and Real-time Analysis. System on Chip (!SoC) Devices in Telemedicine from !LABoC to High Resolution Images, pp. 35-42 (2013).
     
  • Schapranow, M.-P., Plattner, H.: HIG – An In-memory Database Platform Enabling Real-time Analyses of Genome Data. Proceedings of the International Conference on Big Data. pp. 691-696 (2013).
     
  • Schapranow, M.-P.: Krebsdatenbank auf Tablet und Smartphone. Best Practice Wireless in der Hauptstadtregion Berlin-Brandenburg, pp. 48-49 (2013).
     
  • Schapranow, M.-P.: Real-time Security Extensions for EPCglobal Networks: Case Study for the Pharmaceutical Industry. In-Memory Data Management Research, Springer (2013).
     
  • Schapranow, M.-P., Meinel, C., Plattner, H.: Applied In-Memory Technology to High Throughput Genome Data Processing. Proceedings of XXI Winter Course of the CATAI (CATAI 2013). pp. 35-42. , Canary Islands, Spain (2013).
     
  • Schapranow, M.-P., Plattner, H.: In-Memory Technology Enables History-Based Access Control for RFID-Aided Supply Chains. The Secure Information Society: Ethical, Legal and Political Challenges, pp. 187-213 (2013).
     

2012

  • Plattner, H., Meinel, C., Schapranow, M.-P.: Blitzschnelle Datenanalysen für die personalisierte Medizin der Zukunft – Interdisziplinäre Impulse aus Potsdam und Berlin. Themenbroschüre 2012 Gesundheitsstandort Berlin-Brandenburg. (2012).
     
  • Schapranow, M.-P., Meinel, C., Plattner, H.: Datenbanktechnologie beflügelt personalisierte Medizin. Laborwelt Nr. 4/2012, 13. Jahrgang. (2012).
     
  • Müller, J., Schapranow, M.-P., Zeier, A., Plattner, H.: Secure RFID-Enablement in Modern Companies: A Case Study of the Pharmaceutical Industry. Handbook of Research on Industrial Informatics and Manufacturing Intelligence: Innovations and Solutions, pp. 507-539, IGI Global (2012).
     

2011

  • Schapranow, M.-P., Lorenz, M., Zeier, A., Plattner, H.: License-based Access Control in EPCglobal Networks. The 7th European Workshop on RFID Systems and Technologies, pp. 1-7 (2011).
     
  • Schapranow, M.-P., Zeier, A., Leupold, F., Schubotz, T.: Securing EPCglobal Object Name Service -- Privacy Enhancements for Anti-counterfeiting. 2nd International Conference on Intelligent Systems, Modeling and Simulation, pp. 332-337 (2011).
     
  • Schapranow, M.-P., Zeier, A., Plattner, H.: A Formal Model for Enabling RFID in Pharmaceutical Supply Chains. 44th Hawaii International Conference on System Sciences (HICSS). IEEE (2011).
     
  • Schapranow, M.-P., Zeier, A., Plattner, H.: Security Extensions for Improving Data Security of Event Repositories in EPCglobal Networks. The 9th International Conference on Embedded and Ubiquitous Computing pp. 213-220 (2011).
     
  • Schapranow, M.-P., Müller, J., Zeier, A., Plattner, H.: What are Authentic Pharmaceuticals Worth? Designing and Deploying RFID Applications, pp. 204-220, INTECH Press (2011).
     
  • Schapranow, M.-P., Zeier, A., Plattner, H., Müller, J., Lorenz, M.: Discovery Services in the EPC Network. Designing and Deploying RFID Applications, pp. 109-130, INTECH Press (2011).
     
  • Schapranow, M.-P., Fähnrich, C., Zeier, A., Plattner, H.: Simulation of RFID-aided Supply Chains: Case Study of the Pharmaceutical Supply Chain. Third International Conference on Computational Intelligence, Modelling and Simulation, pp. 340-345 (2011).
     
  • Zeier, A., Plattner, H., Schapranow, M.-P., Müller, J.: Costs of Authentic Pharmaceuticals: Research on Qualitative and Quantitative Aspects of Enabling Anti-counterfeiting in RFID-aided Supply Chains. Personal and Ubiquitous Computing, Volume 16, Issue 3. 271-289 (2011).
     
  • Lorenz, M., Müller, J., Schapranow, M.-P., Zeier, A.: A Distributed EPC Discovery Service based on Peer-to-peer Technology. Proceedings of the RFID SysTech 2011, 7th European Workshop on Smart Objects: Systems, Technologies and Applications, Dresden. pp. 1 - 7. VDE (2011).
     

2010

  • Schapranow, M.-P., Kühne, R., Zeier, A.: Real-Time Billing in Smart Grid Infrastructures. Power and Energy Student Summit 2010 - Integration of Renewable Energies into the Grid (2010).
     
  • Schapranow, M.-P., Kühne, R., Zeier, A.: Enabling Real-Time Charging for Smart Grid Infrastructures using In-Memory Databases. 1st IEEE LCN Workshop on Smart Grid Networking Infrastructure (2010).
     
  • Schapranow, M.-P., Zeier, A., Plattner, H.: A Dynamic Mutual RFID Authentication Model Preventing Unauthorized Third Party Access. The 4th International Conference on Network and System Security, , pp. 371-376 (2010).
     
  • Schapranow, M.-P., Geller, F., Lorenz, M., Müller, J., Kowark, T., Zeier, A.: Assessment of Communication Protocols in the EPC Network: Replacing Textual SOAP and XML with Binary Google Protocol Buffers Encoding. 17th IEEE International Conference on Industrial Engineering and Engineering Management (IE&EM), Xiamen, China (2010).
     
  • Müller, J., Schapranow, M.-P., Pöpke, C., Urbat, M., Zeier, A., Plattner, H.: Best Practices for Rigorous Evaluation of RFID Software Components. Proceedings of the 6th European Workshop on RFID Systems and Technologies (RFID !SysTech'10), Ciudad Real, Spain (2010).
     
  • Schapranow, M.-P., Müller, J., Zeier, A., Plattner, H.: RFID Event Data Processing -- An Architecture for Storing and Searching. Proceedings of the 4th International Workshop on RFID Technology - Concepts, Applications, Challenges, Funchal, Madeira, Portugal (2010).
     
  • Schapranow, M.-P., Nagora, M., Zeier, A.: CoMoSeR: Cost Model for Security-Enhanced RFID-Aided Supply Chains. The 18th International Conference on Software, Telecommunication and Computer Networks, pp. 11-16 (2010).
     

2009

  • Schapranow, M.-P., Müller, J., Zeier, A., Plattner, H.: Security Aspects in Vulnerable RFID-Aided Supply Chains. Proceedings of the 5th European Workshop on RFID Systems and Technologies, Bremen (2009).
     
  • Borovskiy, V., Müller, J., Schapranow, M.-P., Zeier, A.: Ensuring Service Backwards Compatibility with Generic Web Services. Proceedings of ICSE 2009, PESOS Workshop, Vancouver, Canada (2009).
     
  • Schapranow, M.-P., Müller, J., Krüger, J., Hofmann, P., Zeier, A.: Integration of RFID Technology is a Key Enabler for Demand-Driven Supply Network. The IUP Journal of Supply Chain Management, Volume 6, Nos. 3 & 4, pp. 57-74. (2009).
     
  • Schapranow, M.-P., Müller, J., Enderlein, S., Helmich, M., Zeier, A.: Low-Cost Mutual RFID Authentication Model Using Predefined Password Lists. The 16th International Conference on Industrial Engineering and Engineering Management, pp. 889-893 (2009).
     
  • Müller, J., Schapranow, M.-P., Helmich, M., Enderlein, S., Zeier, A.: RFID Middleware as a Service - Enabling Small and Medium-sized Enterprises to Participate in the EPC Network. 16th International Conference on Industrial Engineering and Engineering Management (IE&EM), Beijing, China (2009).
     
  • Zeier, A., Schapranow, M.-P., Krüger, J., Uflacker, M., Müller, J.: noFilis CrossTalk 2.0 as Device Management Solution, Experiences while Integrating RFID Hardware into SAP Auto-ID Infrastructure. Proceedings of the 16th International Conference on Industrial Engineering and Engineering Management (IE&EM), Beijing, China (2009).
     
  • Müller, J., Faust, M., Schwalb, D., Schapranow, M.-P., Zeier, A., Plattner, H.: A Software as a Service RFID Middleware for Small and Medium-sized Enterprises. Proceedings of the 5th European Workshop on RFID Systems and Technologies (RFID !SysTech'09), Bremen, Germany (2009).
     
  • Schapranow, M.-P., Zeier, A., Borovskiy, V., Müller, J.: Binary Search Tree Visualization Algorithm. 16th International Conference on Industrial Engineering and Engineering Management (IE&EM), Beijing, China (2009).
     
  • Schapranow, M.-P., Krüger, J., Borovskiy, V., Zeier, A., Plattner, H.: Data Loading & Caching Strategies in Service-Oriented Enterprise Applications. Proceedings of IEEE Congress on Services (SERVICES 2009), Los Angeles, CA, USA (2009).
     

2008

  • Schapranow, M.-P., Krüger, J., Müller, J.: Smart Enterprise Widgets: Little Helpers with a Big Impact. SAP INFO (online). (2008).
     
  • Grund, M., Schaffner, J., Schapranow, M.-P., Bog, A., Krüger, J.: Operational Reporting Using Navigational SQL. IEEE Symposium on Advanced Management of Information for Globalized Enterprises (AMIGE'08), Tianjin, China (2008).
     
  • Schapranow, M.-P., Krüger, J.: HPI Students Learn with SAP Enterprise Services. SAP INFO (online). (2008).
     
  • Krüger, J., Grund, M., Schaffner, J., Schapranow, M.-P., Bog, A.: Shared Table Access Pattern Analysis for Multi-Tenant Applications. IEEE Symposium on Advanced Management of Information for Globalized Enterprises (AMIGE'08), Tianjin, China (2008).
     
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