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Matthias Schubert

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affiliation: Ludwig Maximilian University of Munich, Germany

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2020 – today

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2024
[j10]
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Zhuang Liu, Yunpu Ma, Matthias Schubert, Yuanxin Ouyang, Wenge Rong, Zhang Xiong:
Multimodal Contrastive Transformer for Explainable Recommendation. IEEE Trans. Comput. Soc. Syst. 11(2): 2632-2643 (2024)
[c93]
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Maximilian Bernhard, Tanveer Hannan, Niklas Strauß, Matthias Schubert:
Context Matters: Leveraging Spatiotemporal Metadata for Semi-Supervised Learning on Remote Sensing Images. ECAI 2024: 2186-2193
[c92]
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Niklas Strauß, Matthias Schubert:
Spatial-Aware Deep Reinforcement Learning for the Traveling Officer Problem. SDM 2024: 869-877
[c91]
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Maximilian Bernhard, Roberto Amoroso, Yannic Kindermann, Lorenzo Baraldi, Rita Cucchiara, Volker Tresp, Matthias Schubert:
What's Outside the Intersection? Fine-grained Error Analysis for Semantic Segmentation Beyond IoU. WACV 2024: 957-966
[i24]
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  - journals/corr/abs-2401-05969
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Niklas Strauß, Matthias Schubert:
Spatial-Aware Deep Reinforcement Learning for the Traveling Officer Problem. CoRR abs/2401.05969 (2024)
[i23]
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  - journals/corr/abs-2404-10646
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Niklas Strauß, Lukas Rottkamp, Sebastian Schmoll, Matthias Schubert:
Efficient Parking Search using Shared Fleet Data. CoRR abs/2404.10646 (2024)
[i22]
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  - journals/corr/abs-2404-10683
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David Winkel, Niklas Strauß, Matthias Schubert, Thomas Seidl:
Simplex Decomposition for Portfolio Allocation Constraints in Reinforcement Learning. CoRR abs/2404.10683 (2024)
[i21]
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  - journals/corr/abs-2404-12240
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Lukas Rottkamp, Matthias Schubert:
A Time-Inhomogeneous Markov Model for Resource Availability under Sparse Observations. CoRR abs/2404.12240 (2024)
[i20]
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  - journals/corr/abs-2404-18583
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Maximilian Bernhard, Tanveer Hannan, Niklas Strauß, Matthias Schubert:
Context Matters: Leveraging Spatiotemporal Metadata for Semi-Supervised Learning on Remote Sensing Images. CoRR abs/2404.18583 (2024)
[i19]
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  - journals/corr/abs-2409-18735
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David Winkel, Niklas Strauß, Maximilian Bernhard, Zongyue Li, Thomas Seidl, Matthias Schubert:
Autoregressive Policy Optimization for Constrained Allocation Tasks. CoRR abs/2409.18735 (2024)
2023
[c90]
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  - conf/aaai/KonerHSSS0T23
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Rajat Koner, Tanveer Hannan, Suprosanna Shit, Sahand Sharifzadeh, Matthias Schubert, Thomas Seidl, Volker Tresp:
InstanceFormer: An Online Video Instance Segmentation Framework. AAAI 2023: 1188-1195
[c89]
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  - conf/ecai/WinkelSS023
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David Winkel, Niklas Strauß, Matthias Schubert, Thomas Seidl:
Simplex Decomposition for Portfolio Allocation Constraints in Reinforcement Learning. ECAI 2023: 2655-2662
[c88]
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  - conf/gecco/GiovagnoliTMS23
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Alessandro Giovagnoli, Volker Tresp, Yunpu Ma, Matthias Schubert:
QNEAT: Natural Evolution of Variational Quantum Circuit Architecture. GECCO Companion 2023: 647-650
[c87]
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  - conf/iccv/BernhardSS23
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Maximilian Bernhard, Niklas Strauß, Matthias Schubert:
MapFormer: Boosting Change Detection by Using Pre-change Information. ICCV 2023: 16791-16800
[c86]
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  - conf/igarss/MolliereGLMSS23
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Christian Mollière, Julia Gottfriedsen, Martin Langer, Patricio Massaro, Christian Soraruf, Matthias Schubert:
Multi-Spectral Super-Resolution of Thermal Infrared Data Products for Urban Heat Applications. IGARSS 2023: 4919-4922
[c85]
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  - conf/pakdd/WinkelSSMS23
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David Winkel, Niklas Strauß, Matthias Schubert, Yunpu Ma, Thomas Seidl:
Constrained Portfolio Management Using Action Space Decomposition for Reinforcement Learning. PAKDD (2) 2023: 373-385
[c84]
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  - conf/ssd/RottkampSS23
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Lukas Rottkamp, Niklas Strauß, Matthias Schubert:
DEAR: Dynamic Electric Ambulance Redeployment. SSTD 2023: 11-20
[i18]
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  - journals/corr/abs-2303-17859
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Maximilian Bernhard, Niklas Strauß, Matthias Schubert:
MapFormer: Boosting Change Detection by Using Pre-change Information. CoRR abs/2303.17859 (2023)
[i17]
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  - journals/corr/abs-2305-17096
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Tanveer Hannan, Rajat Koner, Maximilian Bernhard, Suprosanna Shit, Bjoern H. Menze, Volker Tresp, Matthias Schubert, Thomas Seidl:
GRAtt-VIS: Gated Residual Attention for Auto Rectifying Video Instance Segmentation. CoRR abs/2305.17096 (2023)
2022
[c83]
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  - conf/acl-spnlp/FuMHDMSTW22
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Guirong Fu, Zhao Meng, Zhen Han, Zifeng Ding, Yunpu Ma, Matthias Schubert, Volker Tresp, Roger Wattenhofer:
TempCaps: A Capsule Network-based Embedding Model for Temporal Knowledge Graph Completion. SPNLP@ACL 2022: 22-31
[c82]
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  - conf/emnlp/ChaudharyRSSG22
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Yatin Chaudhary, Pranav Rai, Matthias Schubert, Hinrich Schütze, Pankaj Gupta:
Federated Continual Learning for Text Classification via Selective Inter-client Transfer. EMNLP (Findings) 2022: 4789-4799
[c81]
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  - conf/gis/RottkampSS22
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Lukas Rottkamp, Matthias Schubert, Niklas Strauß:
Efficient on-street parking sensor placement. IWCTS@SIGSPATIAL 2022: 13:1-13:8
[c80]
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  - conf/gis/BernhardS22
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Maximilian Bernhard, Matthias Schubert:
Robust object detection in remote sensing imagery with noisy and sparse geo-annotations. SIGSPATIAL/GIS 2022: 25:1-25:4
[c79]
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  - conf/icdm/StraussBHS22
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Niklas Strauß, Max Berrendorf, Tom Haider, Matthias Schubert:
A Comparison of Ambulance Redeployment Systems on Real-World Data. ICDM (Workshops) 2022: 1-8
[c78]
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  - conf/mir/LiuMSO022
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Zhuang Liu, Yunpu Ma, Matthias Schubert, Yuanxin Ouyang, Zhang Xiong:
Multi-Modal Contrastive Pre-training for Recommendation. ICMR 2022: 99-108
[c77]
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  - conf/pkdd/WinkelSSS22
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David Winkel, Niklas Strauß, Matthias Schubert, Thomas Seidl:
Risk-Aware Reinforcement Learning for Multi-Period Portfolio Selection. ECML/PKDD (6) 2022: 185-200
[c76]
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Niklas Strauß, David Winkel, Max Berrendorf, Matthias Schubert:
Reinforcement Learning for Multi-Agent Stochastic Resource Collection. ECML/PKDD (4) 2022: 200-215
[c75]
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Christian M. M. Frey, Yunpu Ma, Matthias Schubert:
SEA: Graph Shell Attention in Graph Neural Networks. ECML/PKDD (2) 2022: 326-343
[i16]
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  - journals/corr/abs-2202-07025
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Tanveer Hannan, Rajat Koner, Jonathan Kobold, Matthias Schubert:
Box Supervised Video Segmentation Proposal Network. CoRR abs/2202.07025 (2022)
[i15]
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  - journals/corr/abs-2208-01735
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Christian M. M. Frey, Matthias Schubert:
V-Coder: Adaptive AutoEncoder for Semantic Disclosure in Knowledge Graphs. CoRR abs/2208.01735 (2022)
[i14]
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  - journals/corr/abs-2208-10547
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Rajat Koner, Tanveer Hannan, Suprosanna Shit, Sahand Sharifzadeh, Matthias Schubert, Thomas Seidl, Volker Tresp:
InstanceFormer: An Online Video Instance Segmentation Framework. CoRR abs/2208.10547 (2022)
[i13]
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  - journals/corr/abs-2210-06101
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Yatin Chaudhary, Pranav Rai, Matthias Schubert, Hinrich Schütze, Pankaj Gupta:
Federated Continual Learning for Text Classification via Selective Inter-client Transfer. CoRR abs/2210.06101 (2022)
[i12]
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  - journals/corr/abs-2210-12989
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Maximilian Bernhard, Matthias Schubert:
Robust Object Detection in Remote Sensing Imagery with Noisy and Sparse Geo-Annotations (Full Version). CoRR abs/2210.12989 (2022)
2021
[j9]
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  - journals/remotesensing/BernhardS21
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Maximilian Bernhard, Matthias Schubert:
Correcting Imprecise Object Locations for Training Object Detectors in Remote Sensing Applications. Remote. Sens. 13(24): 4962 (2021)
[c74]
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  - conf/mdm/StraussRSS21
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Niklas Strauß, Lukas Rottkamp, Sebastian Schmoll, Matthias Schubert:
Efficient Parking Search using Shared Fleet Data. MDM 2021: 115-120
[i11]
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  - journals/corr/abs-2110-10674
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Christian M. M. Frey, Yunpu Ma, Matthias Schubert:
SEA: Graph Shell Attention in Graph Neural Networks. CoRR abs/2110.10674 (2021)
[i10]
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  - journals/corr/abs-2110-14284
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Christian M. M. Frey, Yunpu Ma, Matthias Schubert:
MIRA: Multihop Relation Prediction in Temporal Knowledge Graphs. CoRR abs/2110.14284 (2021)
[i9]
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  - journals/corr/abs-2111-11388
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Jason Jooste, Michael Fromm, Matthias Schubert:
Conifer Seedling Detection in UAV-Imagery with RGB-Depth Information. CoRR abs/2111.11388 (2021)
2020
[j8]
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  - journals/remotesensing/RabbiRSCC20
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Jakaria Rabbi, Nilanjan Ray, Matthias Schubert, Subir Chowdhury, Dennis Chao:
Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network. Remote. Sens. 12(9): 1432 (2020)
[c73]
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  - conf/gis/RottkampS20
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Lukas Rottkamp, Matthias Schubert:
Quantifying the potential of data-driven mobility support systems. IWCTS@SIGSPATIAL 2020: 2:1-2:10
[c72]
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  - conf/ijcai/SchmollS20
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Sebastian Schmoll, Matthias Schubert:
Semi-Markov Reinforcement Learning for Stochastic Resource Collection. IJCAI 2020: 3349-3355
[c71]
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  - conf/mdm/FriedlSBS20
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Sabrina Friedl, Sebastian Schmoll, Felix Borutta, Matthias Schubert:
SMART-Env. MDM 2020: 234-235
[c70]
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  - conf/webi/FaermanBBS20
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Evgeniy Faerman, Felix Borutta, Julian Busch, Matthias Schubert:
Ada-LLD: Adaptive Node Similarity Using Multi-Scale Local Label Distributions. WI/IAT 2020: 25-32
[i8]
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  - journals/corr/abs-2001-10883
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Diana Davletshina, Valentyn Melnychuk, Viet Tran, Hitansh Singla, Max Berrendorf, Evgeniy Faerman, Michael Fromm, Matthias Schubert:
Unsupervised Anomaly Detection for X-Ray Images. CoRR abs/2001.10883 (2020)
[i7]
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  - journals/corr/abs-2003-09085
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Jakaria Rabbi, Nilanjan Ray, Matthias Schubert, Subir Chowdhury, Dennis Chao:
Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network. CoRR abs/2003.09085 (2020)
[i6]
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  - journals/corr/abs-2009-12875
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Julian Busch, Evgeniy Faerman, Matthias Schubert, Thomas Seidl:
Learning Self-Expression Metrics for Scalable and Inductive Subspace Clustering. CoRR abs/2009.12875 (2020)

2010 – 2019

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2019
[j7]
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  - journals/remotesensing/FrommSCLM19
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Michael Fromm, Matthias Schubert, Guillermo Castilla, Julia Linke, Gregory J. McDermid:
Automated Detection of Conifer Seedlings in Drone Imagery Using Convolutional Neural Networks. Remote. Sens. 11(21): 2585 (2019)
[c69]
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  - conf/icdm/FaermanRSKBBFS19
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Evgeniy Faerman, Manuell Rogalla, Niklas Strauß, Adrian Krüger, Benedict Blümel, Max Berrendorf, Michael Fromm, Matthias Schubert:
Spatial Interpolation with Message Passing Framework. ICDM Workshops 2019: 135-141
[c68]
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Michael Fromm, Max Berrendorf, Evgeniy Faerman, Yiyi Chen, Balthasar Schüss, Matthias Schubert:
XD-STOD: Cross-Domain Superresolution for Tiny Object Detection. ICDM Workshops 2019: 142-148
[c67]
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  - conf/ssd/SchmollFS19
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Sebastian Schmoll, Sabrina Friedl, Matthias Schubert:
Scaling the Dynamic Resource Routing Problem. SSTD 2019: 80-89
[c66]
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  - conf/webi/BoruttaBFKS19
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Felix Borutta, Julian Busch, Evgeniy Faerman, Adina Klink, Matthias Schubert:
Structural Graph Representations based on Multiscale Local Network Topologies. WI 2019: 91-98
[i5]
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  - journals/corr/abs-1911-06663
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Teodora Pandeva, Matthias Schubert:
MMGAN: Generative Adversarial Networks for Multi-Modal Distributions. CoRR abs/1911.06663 (2019)
2018
[j6]
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  - journals/geoinformatica/CostaNS18
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  - https://dblp.org/rec/journals/geoinformatica/CostaNS18
Camila F. Costa, Mario A. Nascimento, Matthias Schubert:
Diverse nearest neighbors queries using linear skylines. GeoInformatica 22(4): 815-844 (2018)
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Sebastian Schmoll, Matthias Schubert:
Dynamic Resource Routing using Real-Time Information. EDBT 2018: 501-504
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Sebastian Schmoll, Matthias Schubert:
Vision paper: reinforcement learning in smart spatio-temporal environments. SIGSPATIAL/GIS 2018: 81-84
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Lukas Rottkamp, Matthias Schubert:
A time-inhomogeneous Markov model for resource availability under sparse observations. SIGSPATIAL/GIS 2018: 460-463
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Sebastian Schmoll, Matthias Schubert:
Dynamic Resource Routing using Real-Time Dynamic Programming. IJCAI 2018: 4822-4828
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Marawan Shalaby, Jan Stutzki, Matthias Schubert, Stephan Günnemann:
An LSTM Approach to Patent Classification based on Fixed Hierarchy Vectors. SDM 2018: 495-503
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Hans-Peter Kriegel, Matthias Schubert:
KDD Pipeline. Encyclopedia of Database Systems (2nd ed.) 2018
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  - journals/corr/abs-1802-05563
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Evgheniy Faerman, Felix Borutta, Julian Busch, Matthias Schubert:
Semi-Supervised Learning on Graphs Based on Local Label Distributions. CoRR abs/1802.05563 (2018)
2017
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Gregor Jossé, Klaus Arthur Schmid, Andreas Züfle, Georgios Skoumas, Matthias Schubert, Matthias Renz, Dieter Pfoser, Mario A. Nascimento:
Knowledge extraction from crowdsourced data for the enrichment of road networks. GeoInformatica 21(4): 763-795 (2017)
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Ying Lu, Gregor Jossé, Tobias Emrich, Ugur Demiryurek, Matthias Renz, Cyrus Shahabi, Matthias Schubert:
Scenic Routes Now: Efficiently Solving the Time-Dependent Arc Orienteering Problem. CIKM 2017: 487-496
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Ilkcan Keles, Matthias Schubert, Peer Kröger, Simonas Saltenis, Christian S. Jensen:
Extracting visited points of interest from vehicle trajectories. GeoRich@SIGMOD 2017: 2:1-2:6
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Erik Seglem, Andreas Züfle, Jan Stutzki, Felix Borutta, Evgheniy Faerman, Matthias Schubert:
On Privacy in Spatio-Temporal Data: User Identification Using Microblog Data. SSTD 2017: 43-61
2016
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Jan Stutzki, Matthias Schubert:
Geodata supported classification of patent applications. GeoRich@SIGMOD 2016: 4:1-4:6
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Gregor Jossé, Ying Lu, Tobias Emrich, Matthias Renz, Cyrus Shahabi, Ugur Demiryurek, Matthias Schubert:
Scenic Routes Now: Efficiently Solving the Time-Dependent Arc Orienteering Problem. CoRR abs/1609.08484 (2016)
2015
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Gregor Jossé, Klaus Arthur Schmid, Matthias Schubert:
Probabilistic Resource Route Queries with Reappearance. EDBT 2015: 445-456
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Michael Shekelyan, Gregor Jossé, Matthias Schubert:
Linear path skylines in multicriteria networks. ICDE 2015: 459-470
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Michael Shekelyan, Gregor Jossé, Matthias Schubert:
ParetoPrep: Efficient Lower Bounds for Path Skylines and Fast Path Computation. SSTD 2015: 40-58
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Georgios Skoumas, Klaus Arthur Schmid, Gregor Jossé, Matthias Schubert, Mario A. Nascimento, Andreas Züfle, Matthias Renz, Dieter Pfoser:
Knowledge-Enriched Route Computation. SSTD 2015: 157-176
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Gregor Jossé, Matthias Schubert, Ludwig Zellner:
EasyEV: Monitoring and Querying System for Electric Vehicle Fleets Using Smart Car Data. SSTD 2015: 497-502
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Gregor Jossé, Klaus Arthur Schmid, Andreas Züfle, Georgios Skoumas, Matthias Schubert, Dieter Pfoser:
Tourismo: A User-Preference Tourist Trip Search Engine. SSTD 2015: 514-519
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Michael Stockerl, Christoph Ringlstetter, Matthias Schubert, Eirini Ntoutsi, Hans-Peter Kriegel:
Online template matching over a stream of digitized documents. SSDBM 2015: 9:1-9:12
2014
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Michael Shekelyan, Gregor Jossé, Matthias Schubert, Hans-Peter Kriegel:
Linear Path Skyline Computation in Bicriteria Networks. DASFAA (1) 2014: 173-187
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Anders Drachen, Matthew Yancey, John Maguire, Derrek Chu, Iris Yuhui Wang, Tobias Mahlmann, Matthias Schubert, Diego Klabjan:
Skill-based differences in spatio-temporal team behaviour in defence of the Ancients 2 (DotA 2). GEM 2014: 1-8
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Gregor Jossé, Matthias Schubert:
Towards resource route queries with reappearance. SIGSPATIAL PhD Workshop 2014: 4:1-4:5
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Michael Shekelyan, Gregor Jossé, Matthias Schubert:
ParetoPrep: Fast computation of Path Skylines Queries. CoRR abs/1410.0205 (2014)
2013
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Anders Drachen, Matthias Schubert:
Spatial game analytics and visualization. CIG 2013: 1-8
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Gregor Jossé, Matthias Schubert, Hans-Peter Kriegel:
Probabilistic parking queries using aging functions. SIGSPATIAL/GIS 2013: 442-445
[c44]
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Tobias Emrich, Gregor Jossé, Hans-Peter Kriegel, Markus Mauder, Johannes Niedermayer, Matthias Renz, Matthias Schubert, Andreas Züfle:
Optimal Distance Bounds for the Mahalanobis Distance. SISAP 2013: 175-181
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Adrian Balteanu, Gregor Jossé, Matthias Schubert:
Mining Driving Preferences in Multi-cost Networks. SSTD 2013: 74-91
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Anders Drachen, Matthias Schubert:
Spatial Game Analytics. Game Analytics, Maximizing the Value of Player Data 2013: 365-402
2012
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Hans-Peter Kriegel, Matthias Renz, Matthias Schubert, Andreas Züfle:
Efficient Traffic Density Prediction in Road Networks Using Suffix Trees. Künstliche Intell. 26(3): 233-240 (2012)
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Franz Graf, Robert Greil, Hans-Peter Kriegel, Matthias Schubert, Alexander Cavallaro:
Enhanced detection of the vertebrae in 2D CT-images. Medical Imaging: Image Processing 2012: 83142B
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Matthias Schubert, Hans-Peter Kriegel:
Co-RCA: Unsupervised Distance-Learning for Multi-View Clustering. MultiClust@SDM 2012: 11-18
2011
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Matthias Schubert, Hans-Peter Kriegel:
LOCAR: local compression of alternative routes. GIS 2011: 441-444
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Franz Graf, Hans-Peter Kriegel, Matthias Schubert, Sebastian Pölsterl, Alexander Cavallaro:
2D Image Registration in CT Images Using Radial Image Descriptors. MICCAI (2) 2011: 607-614
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Franz Graf, Hans-Peter Kriegel, Matthias Schubert, Michael Strukelj, Alexander Cavallaro:
Fully automatic detection of the vertebrae in 2D CT images. Medical Imaging: Image Processing 2011: 79620C
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Alexander Cavallaro, Franz Graf, Hans-Peter Kriegel, Matthias Schubert, Marisa Thoma:
Region of Interest Queries in CT Scans. SSTD 2011: 56-73
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Hans-Peter Kriegel, Matthias Schubert, Andreas Züfle:
Managing and Mining Multiplayer Online Games. SSTD 2011: 441-444
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Franz Graf, Hans-Peter Kriegel, Matthias Renz, Matthias Schubert:
MARiO: Multi-Attribute Routing in Open Street Map. SSTD 2011: 486-490
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Franz Graf, Hans-Peter Kriegel, Matthias Schubert, Sebastian Pölsterl, Alexander Cavallaro:
Relative location of CT slices on axial axis. UCI Machine Learning Repository, 2011
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Franz Graf, Hans-Peter Kriegel, Matthias Schubert:
Maximum Gain Round Trips with Cost Constraints. CoRR abs/1105.0830 (2011)
2010
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Hans-Peter Kriegel, Peer Kröger, Matthias Renz, Matthias Schubert:
Metric spaces in data mining: applications to clustering. ACM SIGSPATIAL Special 2(2): 36-39 (2010)
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Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Matthias Schubert, Marisa Thoma:
On the impact of flash SSDs on spatial indexing. DaMoN 2010: 3-8
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Franz Graf, Hans-Peter Kriegel, Matthias Renz, Matthias Schubert:
Memory-efficient A*-search using sparse embeddings. GIS 2010: 462-465
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Hans-Peter Kriegel, Matthias Renz, Matthias Schubert:
Route skyline queries: A multi-preference path planning approach. ICDE 2010: 261-272
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Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Matthias Schubert, Marisa Thoma, Alexander Cavallaro:
CT slice localization via instance-based regression. Medical Imaging: Image Processing 2010: 762320
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Franz Graf, Hans-Peter Kriegel, Matthias Renz, Matthias Schubert:
PAROS: pareto optimal route selection. SIGMOD Conference 2010: 1199-1202
[c29]
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Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Matthias Schubert, Marisa Thoma:
Optimizing All-Nearest-Neighbor Queries with Trigonometric Pruning. SSDBM 2010: 501-518
[c28]
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Tobias Emrich, Franz Graf, Hans-Peter Kriegel, Matthias Schubert, Marisa Thoma:
Similarity Estimation Using Bayes Ensembles. SSDBM 2010: 537-554

2000 – 2009

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2009
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Hans-Peter Kriegel, Matthias Schubert:
KDD Pipeline. Encyclopedia of Database Systems 2009: 1586-1587
2008
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Hans-Peter Kriegel, Peter Kunath, Alexey Pryakhin, Matthias Schubert:
MUSE: Multi-Represented Similarity Estimation. ICDE 2008: 1340-1342
[c26]
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Hans-Peter Kriegel, Matthias Schubert, Arthur Zimek:
Angle-based outlier detection in high-dimensional data. KDD 2008: 444-452
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Hans-Peter Kriegel, Peter Kunath, Alexey Pryakhin, Matthias Schubert:
Distribution-Based Similarity for Multi-represented Multimedia Objects. MMM 2008: 155-164
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Hans-Peter Kriegel, Matthias Renz, Matthias Schubert, Andreas Züfle:
Statistical Density Prediction in Traffic Networks. SDM 2008: 692-703
2007
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Hans-Peter Kriegel, Karsten M. Borgwardt, Peer Kröger, Alexey Pryakhin, Matthias Schubert, Arthur Zimek:
Future trends in data mining. Data Min. Knowl. Discov. 15(1): 87-97 (2007)
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Christian Böhm, Peter Kunath, Alexey Pryakhin, Matthias Schubert:
Effective and Efficient Indexing for Large Video Databases. BTW 2007: 132-151
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Christian Böhm, Michael Gruber, Peter Kunath, Alexey Pryakhin, Matthias Schubert:
ProVeR: Probabilistic Video Retrieval using the Gauss-Tree. ICDE 2007: 1521-1522
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Johannes Aßfalg, Hans-Peter Kriegel, Alexey Pryakhin, Matthias Schubert:
Multi-represented Classification Based on Confidence Estimation. PAKDD 2007: 23-34
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Christian Böhm, Peter Kunath, Alexey Pryakhin, Matthias Schubert:
Querying Objects Modeled by Arbitrary Probability Distributions. SSTD 2007: 294-311
2006
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Elke Achtert, Christian Böhm, Stefan Brecheisen, Hans-Peter Kriegel, Peter Kunath, Alexey Pryakhin, Matthias Renz, Matthias Schubert:
Komplexe Objektbeschreibungen zur Suche in Multimedia-Datenbanken. Datenbank-Spektrum 19: 32-39 (2006)
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Stefan Brecheisen, Hans-Peter Kriegel, Matthias Schubert, Michael Gruber:
VICO: Visualizing Connected Object Orderings. EDBT 2006: 1151-1154
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Christian Böhm, Alexey Pryakhin, Matthias Schubert:
The Gauss-Tree: Efficient Object Identification in Databases of Probabilistic Feature Vectors. ICDE 2006: 9
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Hans-Peter Kriegel, Alexey Pryakhin, Matthias Schubert, Arthur Zimek:
COSMIC: Conceptually Specified Multi-Instance Clusters. ICDM 2006: 917-921
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Chris Loeser, Gunnar Schomaker, Matthias Schubert, Tim Schattkowsky:
Fairness Considerations in Replication and Placement Strategies for large Documents in heterogeneous Content Delivery Networks. ICN/ICONS/MCL 2006: 105
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Hans-Peter Kriegel, Alexey Pryakhin, Matthias Schubert:
An EM-Approach for Clustering Multi-Instance Objects. PAKDD 2006: 139-148
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Elke Achtert, Hans-Peter Kriegel, Alexey Pryakhin, Matthias Schubert:
Clustering Multi-represented Objects Using Combination Trees. PAKDD 2006: 174-178
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Hans-Peter Kriegel, Matthias Schubert:
Advanced Prototype Machines: Exploring Prototypes for Classification. SDM 2006: 176-187
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Christian Böhm, Alexey Pryakhin, Matthias Schubert:
Probabilistic Ranking Queries on Gaussians. SSDBM 2006: 169-178
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Hans-Peter Kriegel, Peer Kröger, Matthias Schubert, Ziyue Zhu:
Efficient Query Processing in Arbitrary Subspaces Using Vector Approximations. SSDBM 2006: 184-190
2005
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Hans-Peter Kriegel, Alexey Pryakhin, Matthias Schubert:
Multi-represented kNN-Classification for Large Class Sets. DASFAA 2005: 511-522
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Yi Huang, Kai Yu, Matthias Schubert, Shipeng Yu, Volker Tresp, Hans-Peter Kriegel:
Hierarchy-Regularized Latent Semantic Indexing. ICDM 2005: 178-185
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Hans-Peter Kriegel, Peer Kröger, Alexey Pryakhin, Matthias Schubert:
Effective and Efficient Distributed Model-Based Clustering. ICDM 2005: 258-265
2004
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Matthias Schubert:
Advanced data mining techniques for compound objects. Ludwig Maximilian University of Munich, Germany, 2004, pp. 1-256
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Hans-Peter Kriegel, Matthias Schubert:
Classification of Websites as Sets of Feature Vectors. Databases and Applications 2004: 127-132
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Karin Kailing, Hans-Peter Kriegel, Alexey Pryakhin, Matthias Schubert:
Clustering Multi-represented Objects with Noise. PAKDD 2004: 394-403
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Hans-Peter Kriegel, Peer Kröger, Alexey Pryakhin, Matthias Schubert:
Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects. SDM 2004: 102-113
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Martin Ester, Hans-Peter Kriegel, Matthias Schubert:
Accurate and Efficient Crawling for Relevant Websites. VLDB 2004: 396-407
2003
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Hans-Peter Kriegel, Stefan Brecheisen, Peer Kröger, Martin Pfeifle, Matthias Schubert:
Using Sets of Feature Vectors for Similarity Search on Voxelized CAD Objects. SIGMOD Conference 2003: 587-598
2002
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Martin Ester, Hans-Peter Kriegel, Matthias Schubert:
Web site mining: a new way to spot competitors, customers and suppliers in the world wide web. KDD 2002: 249-258
2000
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Christian Böhm, Bernhard Braunmüller, Hans-Peter Kriegel, Matthias Schubert:
Efficient Similarity Search in Digital Libraries. ADL 2000: 193-199

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