Prof. Dr. Martin Werner

E-Mail: martin.werner@tum.de
Telefon: (+49) 89 289 555 50
Raum: 101
Anschrift: Technische Universität München
Prof. Dr. Martin Werner
Lise-Meitner-Str. 9
85521 Ottobrunn
Professorenprofil der TUM

Publikationen

  1. Hu, Y., Zollner, J. M., Höschen, C., Werner, M., & Schweizer, S. A. (2024). Automated identification of soil functional components based on NanoSIMS data. Ecological Informatics, 102891. https://doi.org/10.1016/j.ecoinf.2024.102891 [Online]
  2. Petry, M., Koch, A., & Werner, M. (2024). Zero-Copy AI-augmented Signal Processing Pipeline on Heterogeneous Satellite Processors. Asilomar Conference on Signals, Systems, and Computers 2024. [PDF]
  3. Walther, P., Luo, X., & Werner, M. (2024). TraBiMap: Reducing Privacy Concerns in Trajectory Analysis with Randomized Data Representations. 2nd ACM SIGSPATIAL International Workshop on Geo-Privacy and Data Utility for Smart Societies. https://doi.org/10.1145/3681768.3698496 [PDF] [Online]
  4. Mansour, W., & Werner, M. (2024). Calculating Upstream Relation in Spatial Networks Under Path Constraints. Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 314–324. https://doi.org/10.1145/3678717.3691288 [PDF] [Online]
  5. Teuscher, B., & Werner, M. (2024). PC-LMT: The Point Cloud Log Merge Tree for the Helena Point Cloud Database. Proceedings of the 12th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, 1–9. https://doi.org/10.1145/3681763.3698476 [PDF] [Online]
  6. Walther, P., Deuser, F., & Werner, M. (2024). Multi-Modal Contextualization of Trajectory Data for Advanced Analysis. Datenbank-Spektrum. https://doi.org/10.1007/s13222-024-00484-3 [PDF] [Online]
  7. Wang, Z., Du, X., Li, H., & Werner, M. (2024). Random Affine Transformation Feature Representation Learning for Fast Polygon Retrieval. Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, 22–28. https://doi.org/10.1145/3681769.3698582 [PDF] [Online]
  8. Li, H., Deuser, F., Yin, W., Luo, X., Walther, P., Mai, G., Huang, W., & Werner, M. (2024). Cross-View Geolocalization and Disaster Mapping with Street-View and VHR Satellite Imagery: A Case Study of Hurricane IAN. https://doi.org/10.48550/arXiv.2408.06761 [PDF] [Online]
  9. Mokbel, M., Sakr, M., Xiong, L., Züfle, A., Almeida, J., Anderson, T., Aref, W., Andrienko, G., Andrienko, N., Cao, Y., Chawla, S., Cheng, R., Chrysanthis, P., Fei, X., Ghinita, G., Graser, A., Gunopulos, D., Jensen, C. S., KIM, J.-S., … Zimányi, E. (2024). Mobility Data Science: Perspectives and Challenges. ACM Trans. Spatial Algorithms Syst. https://doi.org/10.1145/3652158 [Online]
  10. Petry, M., Parlier, B., Koch, A., & Werner, M. (2024). Auto-Regressive RF Synchronization Using Deep-Learning. IEEE International Conference on Machine Learning for Communication and Networking. [PDF]
  11. Teuscher, B., & Werner, M. (2024). Random Data Distribution for Efficient Parallel Point Cloud Processing. AGILE: GIScience Series, 5, 15. https://doi.org/10.5194/agile-giss-5-15-2024 [PDF] [Online]
  12. Kiprit, G. N., Koch, A., Petry, M., & Werner, M. (2024). Graph Neural Networks for Anomaly Detection in Spacecraft. Proceedings of the First Joint European Space Agency SPAICE Conference / IAA Conference on AI in and for Space. [PDF]
  13. Koch, A., Petry, M., & Werner, M. (2024). AI-augmented Anomaly Detection Pipeline for Real-Time Onboard Processing of Spacecraft Telemetry. Proceedings of the First Joint European Space Agency SPAICE Conference / IAA Conference on AI in and for Space. [PDF]
  14. Koch, A., Petry, M., & Werner, M. (2024). Extended Framework and Evaluation for Multivariate Streaming Anomaly Detection with Machine Learning. Proceedings of MulTiSA 2024, the 1st Workshop on Multivariate Time Series Analytics in Conjunction with ICDE 24, 1–8. [PDF]
  15. Li, H., Wang, J., Teuscher, B., Luoa, P., Hong, D., Mai, G., & Werner, M. (2024). GIMI: A Geographical Generalizable Image-to-Image Search Engine with Location-explicit Contrastive Embedding. ICLR 2024 Workshop on Machine Learning in Remote Sensing(ML4RS). [PDF]
  16. Zollner, J. M., Walther, P., & Werner, M. (2024). Satellite Image Representations for Quantum Classifiers. Datenbank-Spektrum, 1–9. https://doi.org/https://doi.org/10.1007/s13222-024-00464-7 [PDF] [Online]
  17. Liu, Z., Fang, C., Li, H., Wu, J., Zhou, L., & Werner, M. (2024). Efficiency and equality of the multimodal travel between public transit and bike-sharing accounting for multiscale. Sustainable Cities and Society, 101, 105096. https://doi.org/https://doi.org/10.1016/j.scs.2023.105096 [PDF] [Online]
  18. Luo, X., Walther, P., Mansour, W., Teuscher, B., Zollner, J. M., Li, H., & Werner, M. (2023). Exploring GeoAI Methods for Supraglacial Lake Mapping on Greenland Ice Sheet. The 31st ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL ’23), November 13–16, 2023, Hamburg, Germany. https://doi.org/10.1145/3589132.3629971 [PDF] [Online]
  19. Hong, D., Zhang, B., Li, H., Li, Y., Yao, J., Li, C., Werner, M., Chanussot, J., Zipf, A., & Zhu, X. X. (2023). Cross-city matters: A multimodal remote sensing benchmark dataset for cross-city semantic segmentation using high-resolution domain adaptation networks. Remote Sensing of Environment, 299, 113856. https://doi.org/https://doi.org/10.1016/j.rse.2023.113856 [Online]
  20. Deuser, F., Habel, K., Werner, M., & Oswald, N. (2023). Orientation-Guided Contrastive Learning for UAV-View Geo-Localisation. Proceedings of the 2023 Workshop on UAVs in Multimedia: Capturing the World from a New Perspective, 7–11.
  21. Li, H., Wang, J., Zollner, J. M., Mai, G., Lao, N., & Werner., M. (2023). Rethink Geographical Generalizability with Unsupervised Self-Attention Model Ensemble: A Case Study of OpenStreetMap Missing Building Detection in Africa. Proceedings of the 31st International Conference on Advances in Geographic Information Systems. https://doi.org/10.1145/3589132.3625598 [PDF] [Online]
  22. Werner, M., Li, H., Zollner, J. M., Teuscher, B., & Deuser., F. (2023). Bavaria Buildings - A Novel Dataset for Building Footprint Extraction, Instance Segmentation, and Data Quality Estimation (Data and Resources Paper). Proceedings of the 31st International Conference on Advances in Geographic Information Systems (ACM SIGSPATAIL GIS’23). https://doi.org/10.1145/3589132.3625658 [PDF] [Online]
  23. Petry, M., Koch, A., & Werner, M. (2023). Envisioning Physical Layer Flexibility Through the Power of Machine-Learning. 2023 IEEE Globecom Workshops (GC Wkshps), 50–55. https://doi.org/10.1109/GCWkshps58843.2023.10464871 [PDF]
  24. Petry, M., Wuwer, G., Koch, A., Gest, P., Ghiglione, M., & Werner, M. (2023). Accelerated Deep-Learning Inference on the Versal adaptive SoC in the Space Domain. 2023 European Data Handling & Data Processing Conference (EDHPC), 1–8. https://doi.org/10.23919/EDHPC59100.2023.10396011 [Online]
  25. Li, H., Yuan, Z., Dax, G., Kong, G., Fan, H., Zipf, A., & Werner, M. (2023). Semi-Supervised Learning from Street-View Images and OpenStreetMap for Automatic Building Height Estimation. In R. Beecham, J. A. Long, D. Smith, Q. Zhao, & S. Wise (Eds.), 12th International Conference on Geographic Information Science (GIScience 2023) (Vol. 277, pp. 7:1–7:15). Schloss Dagstuhl – Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.GIScience.2023.7 [PDF] [Online]
  26. Heller-Kaikov, B., Pail, R., & Werner, M. (2023, July). Gravity signal separation using a neural network. 28th IUGG General Assembly.
  27. Heller-Kaikov, B., Pail, R., & Werner, M. (2023). Separation of signal components in global gravity models. European Geosciences Union General Assembly.
  28. Teuscher, B., Geißendörfer, O., Luo, X., Li, H., Anders, K., Holst, C., & Werner, M. (2024). Efficient In-Memory Point Cloud Query Processing. In T. H. Kolbe, A. Donaubauer, & C. Beil (Eds.), Recent Advances in 3D Geoinformation Science (pp. 267–286). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-43699-4_16 [PDF] [Online]
  29. Koch, A., Krstova, A., Hegwein, F., De Lera, M. C., Ales, F., Petry, M., Ali, R., Mallah, M., Hili, L., Ghiglione, M., & Werner, M. (2023). On-Board Anomaly Detection on a Flight-Ready System. 2023 European Data Handling & Data Processing Conference (EDHPC), 1–4. https://doi.org/10.23919/EDHPC59100.2023.10395967 [PDF] [Online]
  30. Koch, A., Dax, G., Petry, M., Gomez, H., Raoofy, A., Saroliya, U., Ghiglione, M., Furano, G., Werner, M., Trinitis, C., & Langer, M. (2023). Reference Implementations for Machine Learning Application Benchmark. 2023 European Data Handling & Data Processing Conference (EDHPC), 1–3. https://doi.org/10.23919/EDHPC59100.2023.10396582 [PDF] [Online]
  31. Koch, A., Petry, M., Ghiglione, M., Raoofy, A., Dax, G., Furano, G., Werner, M., Trinitis, C., & Langer, M. (2023). Machine Learning Application Benchmark. 20th ACM International Conference on Computing Frontiers (CF ’23), May, 2023, Bologna, Italy. https://doi.org/10.1145/3587135.3592769 [PDF]
  32. Xiong, Z., Stober, D., Krstić, M., Korup, O., Arango, M. I., Li, H., & Werner, M. (2023). Integrating AI Hardware in Academic Teaching: Experiences and Scope from Brandenburg and Bavaria. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
  33. Petry, M., Gest, P., Koch, A., Ghiglione, M., & Werner, M. (2023). Accelerated Deep-Learning inference on FPGAs in the Space Domain. 20th ACM International Conference on Computing Frontiers (CF ’23), May, 2023, Bologna, Italy. https://doi.org/10.1145/3587135.3592763 [PDF]
  34. Petry, M., Koch, A., Werner, M., Hoch, U., Helfers, T., & Wiest, R. (2023). Machine Learning on Telecommunication Satellite. DATA SYSTEMS IN AEROSPACE - 2023 DASIA. [PDF]
  35. Teuscher, B., Xiong, Z., & Werner, M. (2023). An Augmentation Framework for Efficiently Extracting Open Educational Resources from Slideshows. 9th International Conference on Higher Education Advances (HEAd’23). https://doi.org/10.4995/HEAd23.2023.16169 [PDF] [Online]
  36. Dax, G., Nagarajan, S., Li, H., & Werner, M. (2022). Compression Supports Spatial Deep Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS). https://doi.org/10.1109/JSTARS.2022.3226563 [Online]
  37. Gao, F., Du, Z., Fang, C., Zhou, L., & Werner, M. (2022). A spatio-temporal cognitive framework for individual route choice in outdoor evacuation scenario. ISPRS International Journal of Geo-Information. https://www.mdpi.com/2220-9964/11/12/605/pdf [Online]
  38. Zhu, X. X., Wang, Y., Kochupillai, M., Werner, M., Häberle, M., Hoffmann, E. J., Taubenböck, H., Tuia, D., Levering, A., Jacobs, N., & others. (2022). Geoinformation harvesting from social media data: A community remote sensing approach. IEEE Geoscience and Remote Sensing Magazine, 10(4), 150–180. [PDF]
  39. Werner, M., & Li, H. (2022). AtlasHDF: An Efficient Big Data Framework for GeoAI. 1–7. https://doi.org/10.1145/3557917.3567615 [PDF] [Online]
  40. Mokbel, M., Sakr, M., Xiong, L., Züfle, A., Almeida, J., Anderson, T., Aref, W., Andrienko, G., Andrienko, N., Cao, Y., Chawla, S., Cheng, R., Chrysanthis, P., Fei, X., Ghinita, G., Graser, A., Gunopulos, D., Jensen, C., Kim, J.-S., … Zimányi, E. Mobility Data Science. Dagstuhl Reports - Schloss Dagstuhl Leibniz-Zentrum Für Informatik. https://drops.dagstuhl.de/opus/volltexte/2022/16919/ [Online]
  41. Dax, G., & Werner, M. (2022). The Role of Compression in Spatial Computing. PhD Colloquium of the Deutsche Geodätische Kommission, Section on Geoinformatics. [PDF]
  42. Denizoglu, D. G., Dax, G., Nagarajan, S., Zhang, N., & Werner, M. (2022). Global Active Fire Detection – Towards a SAR-enabled Multi-Sensor Global Monitoring System. Living Planet Symposium 2022. [PDF]
  43. Raoofy, A., Dax, G., Serra, V., Ghiglione, M., Werner, M., & Trinitis, C. (2022). Benchmarking and Feasibility Aspects of Machine Learning in Space Systems. Proceedings of the 19th ACM International Conference on Computing Frontiers (CF’22). https://doi.org/10.1145/3528416.3530986 [PDF] [Online]
  44. Ghiglione, M., Serra, V., Raoofy, A., Dax, G., Trinitis, C., Werner, M., Schulz, M., & Furano, G. (2022). Survey of frameworks for inference of neural networks in space data system. Data Systems in Aerospace (DASIA). Eurospace. [PDF]
  45. Gao, F., Du, Z., Werner, M., & Zhao, Y. (2022). An improved optimization model for crowd evacuation considering individual exit choice preference. Transactions in GIS (in Production).
  46. Laass, M., Dax, G., & Werner, M. (2022). A Randomized Data Structure for Point Clouds. Proceedings of the 7th Annual SDSC Conference and 17th 3D GeoInfo Conference.
  47. Cavallaro, G., Heras, D. B., Lunga, D., Werner, M., & Züfle, A. (2021). Proceedings of the 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data. ACM.
  48. Ghiglione, M., Raoofy, A., Dax, G., Furano, G., Wiest, R., Trinitis, C., Werner, M., Schulz, M., & Langer, M. (2021). Machine Learning Application Benchmark for In-Orbit On-Board Data Processing. European Workshop on On-Board Data Processing. https://zenodo.org/record/5520877/files/05.04_OBDP2021_Ghiglione.pdf [PDF] [Online]
  49. Alam, S., Ahmed, M., Dax, G., & Werner, M. (2021). Change detection of Lake Starnberg, Germany using NDVI and Sentinel 2. Symposium Für Angewandte Geoinformatik (AGIT’2021). [PDF]
  50. Götzer, S., Laass, M., Dax, G., & Werner, M. (2021). ObservaToriUM: A Simple Scalable Earth Observation Processing Engine. Symposium Für Angewandte Geoinformatik (AGIT’2021). [PDF]
  51. Werner, M. (2021). Spatially Supervised Text Mining for Social Media Cleaning and Preprocessing. 12th International Symposium on Digital Earth (ISDE12). https://dl.acm.org/doi/10.1553/giscience2021_01_s68 [Online]
  52. Dax, G., & Werner, M. (2021). Information-optimal Abstaining for Reliable Classification of Building Functions. Proceedings of the 24th AGILE Conference on Geographic Information Science (AGILE’2021). [PDF]
  53. Zeya, S. M., Theofanidis, A., Dax, G., & Werner, M. (2021). Forest and Vegetation Monitoring using Sentinel-2 Imagery in the Northern Part of Democratic Republic of Congo. Proceedings of the 24th AGILE Conference on Geographic Information Science (AGILE’2021). [PDF]
  54. Dax, G., & Werner, M. (2021). Trajectory Similarity using Compression. Proceedings of the 22nd IEEE International Conference on Mobile Data Management (MDM’2021). [PDF]
  55. Laass, M., Kiermeier, M., & Werner, M. (2021). Improving persistence based trajectory simplification. Proceedings of the 22nd IEEE International Conference on Mobile Data Management (MDM’2021). [PDF]
  56. Raoofy, A., Dax, G., Ghiglione, M., Langer, M., Trinitis, C., Werner, M., & Schulz, M. (2021). Benchmarking Machine Learning Inference in FPGA-based Accelerated Space Applications. Proceedings of the Workshop on Benchmarking Machine Learning Workloads Co-Located with IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS). [PDF]
  57. Dax, G., Laass, M., & Werner, M. (2021). Genetic Algorithm for Improved Transfer Learning Through Bagging Color-Adjusted Models. International Geoscience and Remote Sensing Symposium (IGARSS’21). [PDF]
  58. Werner, M. (2021). GloBiMapsAI – An AI-Enhanced Probabilistic Data Structure for Global Raster Datasets. ACM Transactions on Spatial Algorithms and Systems. . https://dl.acm.org/doi/10.1145/3453184 [Online]
  59. Züfle, A., & Werner, M. (2020). Introduction to this special issue: SIGSPATIAL 2020 event reports. ACM SIGSPATIAL Special, 12(3), 1–2. https://doi.org/10.1145/3447994.3447995 [Online]
  60. Werner, M., Dax, G., & Laass, M. (2020). Computational Challenges for Artificial Intelligence and Machine Learning in Environmental Research. In R. H. Reussner, A. Koziolek, & R. Heinrich (Eds.), 50. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2020 - Back to the Future, Karlsruhe, Germany, 28. September - 2. Oktober 2020: Vol. P-307 (pp. 1009–1017). GI. https://doi.org/10.18420/inf2020_95 [Online]
  61. Salcedo-Sanz, S., Ghamisi, P., Piles, M., Werner, M., Cuadra, L., Moreno-Martı́nez A, Izquierdo-Verdiguier, E., Muñoz-Marı́ J, Mosavi, A., & Camps-Valls, G. (2020). Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources. Information Fusion, 63, 256–272.
  62. Artem Leichter, M. S., Martin Werner. (2020). Feature-Extraction from All-Scale Neighborhoods With Applications To Semantic Segmentation of Point Clouds. XXIV ISPRS Congress - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. [PDF]
  63. Werner, M. (2019). Quantum spatial computing. SIGSPATIAL Special, 11(2), 26–33. [PDF]
  64. Werner, M. (2019). Parallel Processing Strategies for Big Geospatial Data. Frontiers in Big Data, 2, 44. https://doi.org/10.3389/fdata.2019.00044 [Online]
  65. Leichter, A., & Werner, M. (2019). Estimating Road Segments Using Natural Point Correspondences of GPS Trajectories. Special Issue Averaging GPS Segments, Applied Sciences, 9(20). [PDF]
  66. Werner, M. (2019). GIS++: Modern C++ for Efficient and Parallel In-Memory Spatial Computing. 1st ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs (SpatialAPI’19). [PDF]
  67. Werner, M. (2019). GloBiMaps - A Probabilistic Data Structure for In-Memory Processing of Global Raster Datasets. 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL ’19). [PDF]
  68. Häberle, M., Werner, M., & Zhu, X. (2019). Building Type Classification From Social Media Texts via Geo-Spatial Text Mining. International Geoscience and Remote Sensing Symposium (IGARSS’19).
  69. Hoffmann, E. J., Wang, Y., Werner, M., Kang, J., & Zhu, X. X. (2019). Model Fusion for Building Type Classification from Aerial and Street View Images. Remote Sensing, 11(11), 1259.
  70. Hoffmann, E. J., Werner, M., & Zhu, X. (2019). Building Instance Classification using Social Media Images. Joint Urban Remote Sensing Event (JURSE), 1–4. [PDF]
  71. Hoffmann, E. J., Werner, M., & Zhu, X. (2019). Mutual Information Analysis of Social Media Images and Building Functions. International Geoscience and Remote Sensing Symposium (IGARSS’19). [PDF]
  72. Hoffmann, E. J., Werner, M., & Zhu, X. (2019). Quality Assessment of Semantic Tags in OpenStreetMap. 11th International Symposium on Digital Earth (ISDE’11).
  73. Häberle, M., Werner, M., & Zhu, X. (2019). Geo-Spatial Text-Mining from Twitter—A Feature Space Analysis with a view towards Building Classification in Urban Regions. European Journal of Remote Sensing, 52(sup2), 2–11. https://doi.org/10.1080/22797254.2019.1586451
  74. Werner, M. (2018). Spatial Data Locality in Scalable and Fault-tolerant Distributed Spatial Computing Systems. 7th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data (BigSpatial 2018). [PDF]
  75. Kjærgaard, M. B., Werner, M., Sangogboye, F. C., & Arendt, K. (2018). DCount-A Probabilistic Algorithm for Accurately Disaggregating Building Occupant Counts into Room Counts. International Conference on Mobile Data Management. [PDF]
  76. Werner, M. (2018). Topology Extraction from Occupancy Grids. LBS 2018: 14th International Conference on Location Based Services, 133–149. [PDF]
  77. Leichter, A., Wittich, D., Rottensteiner, F., Werner, M., & Sester, M. (2018). IMPROVED CLASSIFICATION OF SATELLITE IMAGERY USING SPATIAL FEATURE MAPS EXTRACTED FROM SOCIAL MEDIA. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-4, 335–342. https://doi.org/10.5194/isprs-archives-XLII-4-335-2018 [PDF] [Online]
  78. Werner, M., & Oliver, D. (2018). ACM SIGSPATIAL GIS Cup 2017 - Range Queries Under Fréchet Distance. ACM SIGSPATIAL Newsletter. [PDF]
  79. Kiermeier, M., & Werner, M. (2017). Similarity Search for Spatial Trajectories Using Online Lower Bounding DTW and Presorting Strategies. 24th International Symposium on Temporal Representation and Reasoning. [PDF]
  80. Werner, M., & Feld, S. (2017). Successful Data Science Is a Communication Challenge. In DIGITAL MARKETPLACES UNLEASHED.
  81. Linnhoff-Popien, C., Feld, S., Werner, M., & Schönfeld, M. (2017). Innovationszentrum Mobiles Internet des ZD.B - Methoden der Digitalisierung in der Arbeitswelt. In 50 Jahre Universitäts-Informatik in München.
  82. Kiermeier, M., Werner, M., Linnhoff-Popien, C., Sauer, H., & Wieghardt, J. (2017). Anomaly detection in self-organizing industrial systems using pathlets. Proceedings of the 18th Annual International Conference on Industrial Technology (ICIT), 1226–1231.
  83. Kiermeier, M., Werner, M., Sauer, H., & Wieghardt, J. (2017). Building Scalable Models for Anomaly Detection in Self-Organizing Industrial Systems. Proceedings of the 15th IEEE International Conference on Industrial Informatics.
  84. Werner, M., & Kiermeier, M. (2016). A Low-Dimensional Feature Vector Representation for Alignment-Free Spatial Trajectory Analysis. Proceedings of the 5th ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems (MobiGIS’16). [PDF]
  85. Werner, M., Hahn, C., & Schauer, L. (2016). DeepMoVIPS: Visual Indoor Positioning Using Transfer Learning. Proceedings of the 7th International Conference on Indoor Positioning and Indoor Navigation (IPIN).
  86. Hoffmann, E.-J., Werner, M., & Schauer, L. (2016). Indoor Navigation Using Virtual Anchor Points. Proceedings of the European Navigation Conference (ENC). [PDF]
  87. Feld, S., Werner, M., & Linnhoff-Popien, C. (2016). Criteria for Selecting Small Sets of Alternative Routes in Free Space Scenarios. Proceedings of the 13th International Conference on Location-Based Services (LBS 2016). [PDF]
  88. Feld, S., Werner, M., & Linnhoff-Popien, C. (2016). Approximated Environment Features With Application to Trajectory Annotation. Proceedings of the 6th IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2016).
  89. Feld, S., Schönfeld, M., & Werner, M. (2016). Traversing Bitcoin’s P2P Network: Insights into the Structure of a Decentralized Currency. International Journal of Computational Science and Engineering, Special Issue on Security and Trust Issues in Peer-to-Peer Networks, 13(2), 122–131.
  90. Werner, M. (2015). GISCUP 2015: Notes on Routing with Polygonal Constraints. SIGSPATIAL GIS CUP 15, in Conjunction with 23rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2015). [PDF]
  91. Werner, M. (2015). BACR: Set Similarities with Lower Bounds and Application to Spatial Trajectories. 23rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2015). [PDF]
  92. Werner, M., & Schönfeld, M. (2015). The Gaussian Bloom Filter. In Proceedings of the 20th International Conference on Database Systems for Advanced Applications (DASFAA’15), Part I, LNCS 9049 (pp. 191–206). [PDF]
  93. Feld, S., Werner, M., Schönfeld, M., & Hasler, S. (2015). Archetypes of Alternative Routes in Buildings. Proceedings of the 6th International Conference on Indoor Positioning and Indoor Navigation (IPIN). [PDF]
  94. Ebert, A., Marouane, C., Rott, B., & Werner, M. (2015). KeyPocket - Imroving Security and Usability for Provider-Independent Login Architectures with Mobile Devices. 11th EAI International Conference on Security and Privacy in Communication Networks (SECURECOMM). [PDF]
  95. Ebert, A., Feld, S., & Werner, M. (2015). Nuanced Collision Detection for Parked Vehicles. To Appear, Proceedings of the 12. GI/ITG KuVS Fachgespräch Ortsbezogene Anwendungen Und Dienste.
  96. Schauer, L., & Werner, M. (2015). Clustering of Inertial Indoor Positioning Data. 1st KuVS Expert Talk on Localization.
  97. Schönfeld, M., Werner, M., Linnhoff-Popien, C., & Erk, A. (2015). Towards a Privacy-Preserving Hybrid Radio Network: Design and Open Challenges. Proceedings of the 15th International Conference on Innovations for Community Services (I4CS). [PDF]
  98. Schauer, L., & Werner, M. (2015). Kundenmonitoring im stationären Handel. In Marktplätze im Umbruch - Digitale Strategien für Services im Mobilen Internet (pp. 73–82). Springer-Verlag Berlin Heidelberg.
  99. Werner, M., Dorfmeister, F., & Schönfeld, M. (2015). AMBIENCE: A Context-Centric Online Social Network. 12th IEEE Workshop on Positioning, Navigation and Communications (WPNC ’15). [PDF]
  100. Schauer, L., & Werner, M. (2015). Analyzing Pedestrian Flows Based on Wi-Fi and Bluetooth Captures. EAI Endorsed Transactions on Ubiquitous Environments, 15(4).
  101. Werner, M. (2014). Indoor Location-Based Services: Prerequisites and Foundations. Springer.
  102. Werner, M., & Feld, S. (2014). Homotopy and Alternative Routes in Indoor Navigation Scenarios. Proceedings of the 5th International Conference on Indoor Positioning and Indoor Navigation (IPIN 2014).
  103. Werner, M., Schauer, L., & Scharf, A. (2014). Reliable Trajectory Classification Using Wi-Fi Signal Strength in Indoor Scenarios. Proceedings of the IEEE/ION Position Location and Navigation Symposium (PLANS 2014). [PDF]
  104. Kessel, M., Werner, M., Gschwandtner, F., & Linnhoff-Popien, C. (2014). Tracking and Navigation for Goods and People. In Encyclopedia of Automotive Engineering. John Wiley & Sons. [PDF]
  105. Feld, S., & Werner, M. (2014). Compression of GPS Tracks Using Map Information. Proceedings of the 11. GI/ITG KuVS Fachgespräch Ortsbezogene Anwendungen Und Dienste.
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