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Timo Sztyler
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2020 – today
- 2024
- [c25]Antonio Di Mauro, Zhao Xu, Wiem Ben Rim, Timo Sztyler, Carolin Lawrence:
Generating and Evaluating Plausible Explanations for Knowledge Graph Completion. ACL (1) 2024: 12106-12118 - [c24]Zhao Xu, Wiem Ben Rim, Kiril Gashteovski, Timo Sztyler, Carolin Lawrence:
A Human-Centric Evaluation Platform for Explainable Knowledge Graph Completion. EACL (Demonstrations) 2024: 18-26 - [c23]Julia Gastinger, Christian Meilicke, Federico Errica, Timo Sztyler, Anett Schülke, Heiner Stuckenschmidt:
History Repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting. IJCAI 2024: 4016-4024 - [i6]Julia Gastinger, Christian Meilicke, Federico Errica, Timo Sztyler, Anett Schuelke, Heiner Stuckenschmidt:
History repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting. CoRR abs/2404.16726 (2024) - 2023
- [c22]Julia Gastinger, Timo Sztyler, Lokesh Sharma, Anett Schuelke, Heiner Stuckenschmidt:
Comparing Apples and Oranges? On the Evaluation of Methods for Temporal Knowledge Graph Forecasting. ECML/PKDD (3) 2023: 533-549 - 2022
- [c21]Tobias Jacobs, Jingyi Yu, Julia Gastinger, Timo Sztyler:
ProcK: Machine Learning for Knowledge-Intensive Processes. ECML/PKDD (2) 2022: 107-121 - [i5]Bhushan Kotnis, Kiril Gashteovski, Julia Gastinger, Giuseppe Serra, Francesco Alesiani, Timo Sztyler, Ammar Shaker, Na Gong, Carolin Lawrence, Zhao Xu:
Human-Centric Research for NLP: Towards a Definition and Guiding Questions. CoRR abs/2207.04447 (2022) - 2021
- [j6]Gabriele Civitarese, Timo Sztyler, Daniele Riboni, Claudio Bettini, Heiner Stuckenschmidt:
POLARIS: Probabilistic and Ontological Activity Recognition in Smart-Homes. IEEE Trans. Knowl. Data Eng. 33(1): 209-223 (2021) - [c20]Carolin Lawrence, Timo Sztyler, Mathias Niepert:
Explaining Neural Matrix Factorization with Gradient Rollback. AAAI 2021: 4987-4995 - [i4]Tobias Jacobs, Jingyi Yu, Julia Gastinger, Timo Sztyler:
ProcK: Machine Learning for Knowledge-Intensive Processes. CoRR abs/2109.04881 (2021) - 2020
- [i3]Carolin Lawrence, Timo Sztyler, Mathias Niepert:
Explaining Neural Matrix Factorization with Gradient Rollback. CoRR abs/2010.05516 (2020)
2010 – 2019
- 2019
- [b1]Timo Sztyler:
Sensor-based human activity recognition: Overcoming issues in a real world setting. University of Mannheim, Germany, 2019 - [j5]Gabriele Civitarese, Claudio Bettini, Timo Sztyler, Daniele Riboni, Heiner Stuckenschmidt:
newNECTAR: Collaborative active learning for knowledge-based probabilistic activity recognition. Pervasive Mob. Comput. 56: 88-105 (2019) - [j4]Christian Krupitzer, Timo Sztyler, Janick Edinger, Martin Breitbach, Heiner Stuckenschmidt, Christian Becker:
Beyond position-awareness - Extending a self-adaptive fall detection system. Pervasive Mob. Comput. 58 (2019) - [c19]Alexander Diete, Timo Sztyler, Heiner Stuckenschmidt:
Vision and Acceleration Modalities: Partners for Recognizing Complex Activities. PerCom Workshops 2019: 101-106 - 2018
- [j3]Alexander Diete, Timo Sztyler, Heiner Stuckenschmidt:
Exploring Semi-Supervised Methods for Labeling Support in Multimodal Datasets. Sensors 18(8): 2639 (2018) - [c18]Gabriele Civitarese, Claudio Bettini, Timo Sztyler, Daniele Riboni, Heiner Stuckenschmidt:
NECTAR: Knowledge-based Collaborative Active Learning for Activity Recognition. PerCom 2018: 1-10 - [c17]Christian Krupitzer, Timo Sztyler, Janick Edinger, Martin Breitbach, Heiner Stuckenschmidt, Christian Becker:
Hips Do Lie! A Position-Aware Mobile Fall Detection System. PerCom 2018: 1-10 - [c16]Timo Sztyler, Christian Meilicke, Heiner Stuckenschmidt:
Towards Systematic Benchmarking of Activity Recognition Algorithms. PerCom Workshops 2018: 15-20 - [c15]Timo Sztyler, Gabriele Civitarese, Heiner Stuckenschmidt:
Modeling and Reasoning with ProbLog: An Application in Recognizing Complex Activities. PerCom Workshops 2018: 259-264 - [c14]Alexander Diete, Timo Sztyler, Lydia Weiland, Heiner Stuckenschmidt:
Improving Motion-based Activity Recognition with Ego-centric Vision. PerCom Workshops 2018: 488-491 - [i2]Kristina Y. Yordanova, Adeline Paiement, Max Schröder, Emma Tonkin, Przemyslaw Woznowski, Carl Magnus Olsson, Joseph Rafferty, Timo Sztyler:
Challenges in Annotation of useR Data for UbiquitOUs Systems: Results from the 1st ARDUOUS Workshop. CoRR abs/1803.05843 (2018) - 2017
- [j2]Timo Sztyler, Heiner Stuckenschmidt, Wolfgang Petrich:
Position-aware activity recognition with wearable devices. Pervasive Mob. Comput. 38: 281-295 (2017) - [c13]Alexander Diete, Timo Sztyler, Lydia Weiland, Heiner Stuckenschmidt:
Recognizing Grabbing Actions from Inertial and Video Sensor Data in a Warehouse Scenario. FNC/MobiSPC 2017: 16-23 - [c12]Timo Sztyler:
Towards real world activity recognition from wearable devices. PerCom Workshops 2017: 97-98 - [c11]Alexander Diete, Timo Sztyler, Heiner Stuckenschmidt:
A smart data annotation tool for multi-sensor activity recognition. PerCom Workshops 2017: 111-116 - [c10]Timo Sztyler, Heiner Stuckenschmidt:
Online personalization of cross-subjects based activity recognition models on wearable devices. PerCom 2017: 180-189 - 2016
- [j1]Timo Sztyler, Josep Carmona, Johanna Völker, Heiner Stuckenschmidt:
Self-tracking Reloaded: Applying Process Mining to Personalized Health Care from Labeled Sensor Data. Trans. Petri Nets Other Model. Concurr. 11: 160-180 (2016) - [c9]Daniele Riboni, Timo Sztyler, Gabriele Civitarese, Heiner Stuckenschmidt:
Unsupervised recognition of interleaved activities of daily living through ontological and probabilistic reasoning. UbiComp 2016: 1-12 - [c8]Alexander Diete, Lydia Weiland, Timo Sztyler, Heiner Stuckenschmidt:
Exploring a multi-sensor picking process in the future warehouse. UbiComp Adjunct 2016: 1755-1758 - [c7]Timo Sztyler, Heiner Stuckenschmidt:
On-body localization of wearable devices: An investigation of position-aware activity recognition. PerCom 2016: 1-9 - 2015
- [c6]Timo Sztyler, Johanna Völker, Josep Carmona, Oliver Meier, Heiner Stuckenschmidt:
Discovery of Personal Processes from Labeled Sensor Data - An Application of Process Mining to Personalized Health Care. ATAED@Petri Nets/ACSD 2015: 31-46 - [c5]Bernd Opitz, Timo Sztyler, Michael Jess, Florian Knip, Christian Bikar, Bernd Pfister, Ansgar Scherp:
On-the-fly entity resolution from distributed social media sources for mobile search and exploration. MUM 2015: 14-24 - 2014
- [c4]Bernd Opitz, Timo Sztyler, Michael Jess, Florian Knip, Christian Bikar, Bernd Pfister, Ansgar Scherp:
An Approach for Incremental Entity Resolution at the Example of Social Media Data. AIMashup@ESWC 2014 - [c3]Timo Sztyler, Jakob Huber, Jan Noessner, Jaimie Murdock, Colin Allen, Mathias Niepert:
LODE: Linking digital humanities content to the web of data. JCDL 2014: 423-424 - [c2]Florian Knip, Christian Bikar, Bernd Pfister, Bernd Opitz, Timo Sztyler, Michael Jess, Ansgar Scherp:
A field study on the usability of a nearby search app for finding and exploring places and events. MUM 2014: 123-132 - [i1]Jakob Huber, Timo Sztyler, Jan Noessner, Jaimie Murdock, Colin Allen, Mathias Niepert:
LODE: Linking Digital Humanities Content to the Web of Data. CoRR abs/1406.0216 (2014) - 2011
- [c1]Jakob Huber, Timo Sztyler, Jan Nößner, Christian Meilicke:
CODI: Combinatorial Optimization for Data Integration: results for OAEI 2011. OM 2011
Coauthor Index
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