Timo Sztyler

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 29

Top Venues

CoRR

PerCom Workshops

PerCom

Pervasive Mob. Comput.

University of Mannheim, Germany (PHD)

Education History

University of Mannheim, Germany

PHD

Publications

Julia Gastinger, Christian Meilicke, Federico Errica, Timo Sztyler, Anett Schuelke, Heiner Stuckenschmidt
History repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting. CoRR (2024)
Antonio Di Mauro, Zhao Xu, Wiem Ben Rim, Timo Sztyler, Carolin Lawrence
Generating and Evaluating Plausible Explanations for Knowledge Graph Completion. ACL (1) (2024)
Zhao Xu, Wiem Ben Rim, Kiril Gashteovski, Timo Sztyler, Carolin Lawrence
A Human-Centric Evaluation Platform for Explainable Knowledge Graph Completion. EACL (Demonstrations) (2024)
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)
Tobias Jacobs, Jingyi Yu, Julia Gastinger, Timo Sztyler
ProcK: Machine Learning for Knowledge-Intensive Processes. ECML/PKDD (2) (2022)
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 (2022)
Carolin Lawrence, Timo Sztyler, Mathias Niepert
Explaining Neural Matrix Factorization with Gradient Rollback. AAAI (2021)
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) (2021)
Tobias Jacobs, Jingyi Yu, Julia Gastinger, Timo Sztyler
ProcK: Machine Learning for Knowledge-Intensive Processes. CoRR (2021)
Carolin Lawrence, Timo Sztyler, Mathias Niepert
Explaining Neural Matrix Factorization with Gradient Rollback. CoRR (2020)
Alexander Diete, Timo Sztyler, Heiner Stuckenschmidt
Vision and Acceleration Modalities: Partners for Recognizing Complex Activities. PerCom Workshops (2019)
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)
Gabriele Civitarese, Claudio Bettini, Timo Sztyler, Daniele Riboni, Heiner Stuckenschmidt
: Collaborative active learning for knowledge-based probabilistic activity recognition. Pervasive Mob. Comput. 56 (2019)
Timo Sztyler, Gabriele Civitarese, Heiner Stuckenschmidt
Modeling and Reasoning with ProbLog: An Application in Recognizing Complex Activities. PerCom Workshops (2018)
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 (2018)
Christian Krupitzer, Timo Sztyler, Janick Edinger, Martin Breitbach, Heiner Stuckenschmidt, Christian Becker
Hips Do Lie! A Position-Aware Mobile Fall Detection System. PerCom (2018)
Gabriele Civitarese, Claudio Bettini, Timo Sztyler, Daniele Riboni, Heiner Stuckenschmidt
NECTAR: Knowledge-based Collaborative Active Learning for Activity Recognition. PerCom (2018)
Timo Sztyler, Christian Meilicke, Heiner Stuckenschmidt
Towards Systematic Benchmarking of Activity Recognition Algorithms. PerCom Workshops (2018)
Alexander Diete, Timo Sztyler, Heiner Stuckenschmidt
Exploring Semi-Supervised Methods for Labeling Support in Multimodal Datasets. Sensors 18 (8) (2018)
Alexander Diete, Timo Sztyler, Lydia Weiland, Heiner Stuckenschmidt
Improving Motion-based Activity Recognition with Ego-centric Vision. PerCom Workshops (2018)
Timo Sztyler
Towards real world activity recognition from wearable devices. PerCom Workshops (2017)
Timo Sztyler, Heiner Stuckenschmidt
Online personalization of cross-subjects based activity recognition models on wearable devices. PerCom (2017)
Timo Sztyler, Heiner Stuckenschmidt, Wolfgang Petrich
Position-aware activity recognition with wearable devices. Pervasive Mob. Comput. 38 (2017)
Alexander Diete, Timo Sztyler, Heiner Stuckenschmidt
A smart data annotation tool for multi-sensor activity recognition. PerCom Workshops (2017)
Alexander Diete, Timo Sztyler, Lydia Weiland, Heiner Stuckenschmidt
Recognizing Grabbing Actions from Inertial and Video Sensor Data in a Warehouse Scenario. FNC/MobiSPC (2017)
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 (2016)
Alexander Diete, Lydia Weiland, Timo Sztyler, Heiner Stuckenschmidt
Exploring a multi-sensor picking process in the future warehouse. UbiComp Adjunct (2016)
Daniele Riboni, Timo Sztyler, Gabriele Civitarese, Heiner Stuckenschmidt
Unsupervised recognition of interleaved activities of daily living through ontological and probabilistic reasoning. UbiComp (2016)
Timo Sztyler, Heiner Stuckenschmidt
On-body localization of wearable devices: An investigation of position-aware activity recognition. PerCom (2016)
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)
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)
Jakob Huber, Timo Sztyler, Jan Noessner, Jaimie Murdock, Colin Allen, Mathias Niepert
LODE: Linking Digital Humanities Content to the Web of Data. CoRR (2014)
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)
Timo Sztyler, Jakob Huber, Jan Noessner, Jaimie Murdock, Colin Allen, Mathias Niepert
LODE: Linking digital humanities content to the web of data. JCDL (2014)
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)
Jakob Huber, Timo Sztyler, Jan Nößner, Christian Meilicke
CODI: Combinatorial Optimization for Data Integration: results for OAEI 2011. OM (2011)

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Publication Activity (10 Years)

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Timo Sztyler