Timo Sztyler

Orcid: 0000-0001-8132-5920

According to our database1, Timo Sztyler authored at least 34 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
History Repeats Itself: A Baseline for Temporal Knowledge Graph Forecasting.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

A Human-Centric Evaluation Platform for Explainable Knowledge Graph Completion.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Generating and Evaluating Plausible Explanations for Knowledge Graph Completion.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Comparing Apples and Oranges? On the Evaluation of Methods for Temporal Knowledge Graph Forecasting.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2022
Human-Centric Research for NLP: Towards a Definition and Guiding Questions.
CoRR, 2022

ProcK: Machine Learning for Knowledge-Intensive Processes.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021
POLARIS: Probabilistic and Ontological Activity Recognition in Smart-Homes.
IEEE Trans. Knowl. Data Eng., 2021

Explaining Neural Matrix Factorization with Gradient Rollback.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019
Sensor-based human activity recognition: Overcoming issues in a real world setting.
PhD thesis, 2019

Beyond position-awareness - Extending a self-adaptive fall detection system.
Pervasive Mob. Comput., 2019

<i>newNECTAR</i>: Collaborative active learning for knowledge-based probabilistic activity recognition.
Pervasive Mob. Comput., 2019

Vision and Acceleration Modalities: Partners for Recognizing Complex Activities.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

2018
Exploring Semi-Supervised Methods for Labeling Support in Multimodal Datasets.
Sensors, 2018

Challenges in Annotation of useR Data for UbiquitOUs Systems: Results from the 1st ARDUOUS Workshop.
CoRR, 2018

Towards Systematic Benchmarking of Activity Recognition Algorithms.
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

Modeling and Reasoning with ProbLog: An Application in Recognizing Complex Activities.
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

Hips Do Lie! A Position-Aware Mobile Fall Detection System.
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications, 2018

Improving Motion-based Activity Recognition with Ego-centric Vision.
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018

NECTAR: Knowledge-based Collaborative Active Learning for Activity Recognition.
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications, 2018

2017
Position-aware activity recognition with wearable devices.
Pervasive Mob. Comput., 2017

Online personalization of cross-subjects based activity recognition models on wearable devices.
Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications, 2017

Towards real world activity recognition from wearable devices.
Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, 2017

A smart data annotation tool for multi-sensor activity recognition.
Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, 2017

Recognizing Grabbing Actions from Inertial and Video Sensor Data in a Warehouse Scenario.
Proceedings of the 14th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2017) / 12th International Conference on Future Networks and Communications (FNC 2017) / Affiliated Workshops, 2017

2016
Self-tracking Reloaded: Applying Process Mining to Personalized Health Care from Labeled Sensor Data.
Trans. Petri Nets Other Model. Concurr., 2016

On-body localization of wearable devices: An investigation of position-aware activity recognition.
Proceedings of the 2016 IEEE International Conference on Pervasive Computing and Communications, 2016

Unsupervised recognition of interleaved activities of daily living through ontological and probabilistic reasoning.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

Exploring a multi-sensor picking process in the future warehouse.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2016 ACM International Symposium on Wearable Computers, 2016

2015
On-the-fly entity resolution from distributed social media sources for mobile search and exploration.
Proceedings of the 14th International Conference on Mobile and Ubiquitous Multimedia, Linz, Austria, November 30, 2015

Discovery of Personal Processes from Labeled Sensor Data - An Application of Process Mining to Personalized Health Care.
Proceedings of the International Workshop on Algorithms & Theories for the Analysis of Event Data, 2015

2014
A field study on the usability of a nearby search app for finding and exploring places and events.
Proceedings of the 13th International Conference on Mobile and Ubiquitous Multimedia, 2014

LODE: Linking digital humanities content to the web of data.
Proceedings of the IEEE/ACM Joint Conference on Digital Libraries, 2014

An Approach for Incremental Entity Resolution at the Example of Social Media Data.
Proceedings of the AI Mashup Challenge 2014 co-located with 11th Extended Semantic Web Conference (ESWC 2014), 2014

2011
CODI: Combinatorial Optimization for Data Integration: results for OAEI 2011.
Proceedings of the 6th International Workshop on Ontology Matching, 2011


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