Timo Sztyler

40 papers A* 6B 2Misc 1Journal 12Unranked 18
YearRankTypeTitle / Venue / Authors
2025 — conf
On Synthesizing Data for Context Attribution in Question Answering.
ACL (1)
Gorjan Radevski, Kiril Gashteovski, Shahbaz Syed, Christopher Malon, Sebastien Nicolas, Chia-Chien Hung, Timo Sztyler, Verena Heußer, Wiem Ben Rim, Masafumi Enomoto, Kunihiro Takeoka, Masafumi Oyamada, Goran Glavas, Carolin Lawrence
2025 J jnl
On Synthesizing Data for Context Attribution in Question Answering.
CoRR
Gorjan Radevski, Kiril Gashteovski, Shahbaz Syed, Christopher Malon, Sebastien Nicolas, Chia-Chien Hung, Timo Sztyler, Verena Heußer, Wiem Ben Rim, Masafumi Enomoto, Kunihiro Takeoka, Masafumi Oyamada, Goran Glavas, Carolin Lawrence
2024 — conf
A Human-Centric Evaluation Platform for Explainable Knowledge Graph Completion.
EACL (Demonstrations)
Zhao Xu, Wiem Ben Rim, Kiril Gashteovski, Timo Sztyler, Carolin Lawrence
2024 — conf
Dynamic Representations of Global Crises: A Temporal Knowledge Graph for Conflicts, Trade and Value Networks.
LoG
Julia Gastinger, Timo Sztyler, Nils Steinert, Sabine Gründer-Fahrer, Michael Martin, Anett Schuelke, Heiner Stuckenschmidt
2024 — conf
Generating and Evaluating Plausible Explanations for Knowledge Graph Completion.
ACL (1)
Antonio Di Mauro, Zhao Xu, Wiem Ben Rim, Timo Sztyler, Carolin Lawrence
2024 A* conf
History Repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting.
IJCAI
Julia Gastinger, Christian Meilicke, Federico Errica, Timo Sztyler, Anett Schülke, Heiner Stuckenschmidt
2024 J jnl
History repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting.
CoRR
Julia Gastinger, Christian Meilicke, Federico Errica, Timo Sztyler, Anett Schuelke, Heiner Stuckenschmidt
2023 — conf
Comparing Apples and Oranges? On the Evaluation of Methods for Temporal Knowledge Graph Forecasting.
ECML/PKDD (3)
Julia Gastinger, Timo Sztyler, Lokesh Sharma, Anett Schuelke, Heiner Stuckenschmidt
2022 J jnl
Human-Centric Research for NLP: Towards a Definition and Guiding Questions.
CoRR
Bhushan Kotnis, Kiril Gashteovski, Julia Gastinger, Giuseppe Serra, Francesco Alesiani, Timo Sztyler, Ammar Shaker, Na Gong, Carolin Lawrence, Zhao Xu
2022 — conf
ProcK: Machine Learning for Knowledge-Intensive Processes.
ECML/PKDD (2)
Tobias Jacobs, Jingyi Yu, Julia Gastinger, Timo Sztyler
2021 A* conf
Explaining Neural Matrix Factorization with Gradient Rollback.
AAAI
Carolin Lawrence, Timo Sztyler, Mathias Niepert
2021 J jnl
POLARIS: Probabilistic and Ontological Activity Recognition in Smart-Homes.
IEEE Trans. Knowl. Data Eng.
Gabriele Civitarese, Timo Sztyler, Daniele Riboni, Claudio Bettini, Heiner Stuckenschmidt
2021 J jnl
ProcK: Machine Learning for Knowledge-Intensive Processes.
CoRR
Tobias Jacobs, Jingyi Yu, Julia Gastinger, Timo Sztyler
2020 J jnl
Explaining Neural Matrix Factorization with Gradient Rollback.
CoRR
Carolin Lawrence, Timo Sztyler, Mathias Niepert
2019 J jnl
Beyond position-awareness - Extending a self-adaptive fall detection system.
Pervasive Mob. Comput.
Christian Krupitzer, Timo Sztyler, Janick Edinger, Martin Breitbach, Heiner Stuckenschmidt, Christian Becker
2019 — —
Sensor-based human activity recognition: Overcoming issues in a real world setting.
Timo Sztyler
2019 — conf
Vision and Acceleration Modalities: Partners for Recognizing Complex Activities.
PerCom Workshops
Alexander Diete, Timo Sztyler, Heiner Stuckenschmidt
2018 J jnl
Challenges in Annotation of useR Data for UbiquitOUs Systems: Results from the 1st ARDUOUS Workshop.
CoRR
Kristina Y. Yordanova, Adeline Paiement, Max Schröder, Emma Tonkin, Przemyslaw Woznowski, Carl Magnus Olsson, Joseph Rafferty, Timo Sztyler
2018 J jnl
Exploring Semi-Supervised Methods for Labeling Support in Multimodal Datasets.
Sensors
Alexander Diete, Timo Sztyler, Heiner Stuckenschmidt
2018 A* conf
Hips Do Lie! A Position-Aware Mobile Fall Detection System.
PerCom
Christian Krupitzer, Timo Sztyler, Janick Edinger, Martin Breitbach, Heiner Stuckenschmidt, Christian Becker
2018 — conf
Improving Motion-based Activity Recognition with Ego-centric Vision.
PerCom Workshops
Alexander Diete, Timo Sztyler, Lydia Weiland, Heiner Stuckenschmidt
2018 — conf
Modeling and Reasoning with ProbLog: An Application in Recognizing Complex Activities.
PerCom Workshops
Timo Sztyler, Gabriele Civitarese, Heiner Stuckenschmidt
2018 A* conf
NECTAR: Knowledge-based Collaborative Active Learning for Activity Recognition.
PerCom
Gabriele Civitarese, Claudio Bettini, Timo Sztyler, Daniele Riboni, Heiner Stuckenschmidt
2018 — conf
Towards Systematic Benchmarking of Activity Recognition Algorithms.
PerCom Workshops
Timo Sztyler, Christian Meilicke, Heiner Stuckenschmidt
2017 — conf
A smart data annotation tool for multi-sensor activity recognition.
PerCom Workshops
Alexander Diete, Timo Sztyler, Heiner Stuckenschmidt
2017 A* conf
Online personalization of cross-subjects based activity recognition models on wearable devices.
PerCom
Timo Sztyler, Heiner Stuckenschmidt
2017 J jnl
Position-aware activity recognition with wearable devices.
Pervasive Mob. Comput.
Timo Sztyler, Heiner Stuckenschmidt, Wolfgang Petrich
2017 — conf
Recognizing Grabbing Actions from Inertial and Video Sensor Data in a Warehouse Scenario.
FNC/MobiSPC
Alexander Diete, Timo Sztyler, Lydia Weiland, Heiner Stuckenschmidt
2017 — conf
Towards real world activity recognition from wearable devices.
PerCom Workshops
Timo Sztyler
2016 — conf
Exploring a multi-sensor picking process in the future warehouse.
UbiComp Adjunct
Alexander Diete, Lydia Weiland, Timo Sztyler, Heiner Stuckenschmidt
2016 A* conf
On-body localization of wearable devices: An investigation of position-aware activity recognition.
PerCom
Timo Sztyler, Heiner Stuckenschmidt
2016 J jnl
Self-tracking Reloaded: Applying Process Mining to Personalized Health Care from Labeled Sensor Data.
Trans. Petri Nets Other Model. Concurr.
Timo Sztyler, Josep Carmona, Johanna Völker, Heiner Stuckenschmidt
2016 Misc conf
Unsupervised recognition of interleaved activities of daily living through ontological and probabilistic reasoning.
UbiComp
Daniele Riboni, Timo Sztyler, Gabriele Civitarese, Heiner Stuckenschmidt
2015 — conf
Discovery of Personal Processes from Labeled Sensor Data - An Application of Process Mining to Personalized Health Care.
ATAED@Petri Nets/ACSD
Timo Sztyler, Johanna Völker, Josep Carmona, Oliver Meier, Heiner Stuckenschmidt
2015 B conf
On-the-fly entity resolution from distributed social media sources for mobile search and exploration.
MUM
Bernd Opitz, Timo Sztyler, Michael Jess, Florian Knip, Christian Bikar, Bernd Pfister, Ansgar Scherp
2014 B conf
A field study on the usability of a nearby search app for finding and exploring places and events.
MUM
Florian Knip, Christian Bikar, Bernd Pfister, Bernd Opitz, Timo Sztyler, Michael Jess, Ansgar Scherp
2014 — conf
An Approach for Incremental Entity Resolution at the Example of Social Media Data.
AIMashup@ESWC
Bernd Opitz, Timo Sztyler, Michael Jess, Florian Knip, Christian Bikar, Bernd Pfister, Ansgar Scherp
2014 J jnl
LODE: Linking Digital Humanities Content to the Web of Data.
CoRR
Jakob Huber, Timo Sztyler, Jan Noessner, Jaimie Murdock, Colin Allen, Mathias Niepert
2014 — conf
LODE: Linking digital humanities content to the web of data.
JCDL
Timo Sztyler, Jakob Huber, Jan Noessner, Jaimie Murdock, Colin Allen, Mathias Niepert
2011 — conf
CODI: Combinatorial Optimization for Data Integration: results for OAEI 2011.
OM
Jakob Huber, Timo Sztyler, Jan Nößner, Christian Meilicke