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2020 – today
- 2020
[j1]Rajarshi Biswas
, Michael Barz, Daniel Sonntag:
Towards Explanatory Interactive Image Captioning Using Top-Down and Bottom-Up Features, Beam Search and Re-ranking. Künstliche Intell. 34(4): 571-584 (2020)- [c17]Michael Barz, Sven Stauden, Daniel Sonntag:
Visual Search Target Inference in Natural Interaction Settings with Machine Learning. ETRA 2020: 1:1-1:8 - [c16]Michael Barz, Kristin Altmeyer, Sarah Malone, Luisa Lauer, Daniel Sonntag:
Digital Pen Features Predict Task Difficulty and User Performance of Cognitive Tests. UMAP 2020: 23-32
2010 – 2019
- 2019
- [c15]Rajarshi Biswas, Aditya Mogadala, Michael Barz, Daniel Sonntag, Dietrich Klakow:
Automatic Judgement of Neural Network-Generated Image Captions. SLSP 2019: 261-272 - [c14]Marimuthu Kalimuthu, Michael Barz, Daniel Sonntag:
Incremental Domain Adaptation for Neural Machine Translation in Low-Resource Settings. WANLP@ACL 2019 2019: 1-10 - [i4]Michael Barz, Daniel Sonntag:
Incremental Improvement of a Question Answering System by Re-ranking Answer Candidates using Machine Learning. CoRR abs/1908.10149 (2019) - 2018
- [c13]Michael Barz, Florian Daiber, Daniel Sonntag, Andreas Bulling:
Error-aware gaze-based interfaces for robust mobile gaze interaction. ETRA 2018: 24:1-24:10 - [c12]Michael Barz, Neslihan Büyükdemircioglu, Rikhu Prasad Surya, Tim Polzehl, Daniel Sonntag:
Device-Type Influence in Crowd-based Natural Language Translation Tasks (short paper). SAD/CrowdBias@HCOMP 2018: 93-97 - [c11]Alexander Prange, Michael Barz, Daniel Sonntag:
Medical 3D Images in Multimodal Virtual Reality. IUI Companion 2018: 19:1-19:2 - [c10]Sven Stauden, Michael Barz, Daniel Sonntag:
Visual Search Target Inference Using Bag of Deep Visual Words. KI 2018: 297-304 - [i3]Jan Zacharias, Michael Barz, Daniel Sonntag:
A Survey on Deep Learning Toolkits and Libraries for Intelligent User Interfaces. CoRR abs/1803.04818 (2018) - [i2]Alexander Prange, Michael Barz, Daniel Sonntag:
A categorisation and implementation of digital pen features for behaviour characterisation. CoRR abs/1810.03970 (2018) - 2017
- [c9]Michael Barz, Peter Poller, Martin Schneider, Sonja Zillner, Daniel Sonntag:
Human-in-the-Loop Control Processes in Gas Turbine Maintenance. HoloMAS 2017: 255-268 - [c8]Michael Barz, Peter Poller, Daniel Sonntag:
Evaluating Remote and Head-worn Eye Trackers in Multi-modal Speech-based HRI (Demo). HRI (Companion) 2017: 39 - [c7]Michael Barz, Peter Poller, Daniel Sonntag:
Evaluating Remote and Head-worn Eye Trackers in Multi-modal Speech-based HRI. HRI (Companion) 2017: 79-80 - [c6]Alexander Prange, Michael Barz, Daniel Sonntag:
Speech-based Medical Decision Support in VR using a Deep Neural Network (Demonstration). IJCAI 2017: 5241-5242 - [c5]Alexander Prange, Margarita Chikobava, Peter Poller, Michael Barz, Daniel Sonntag:
A Multimodal Dialogue System for Medical Decision Support inside Virtual Reality. SIGDIAL Conference 2017: 23-26 - [i1]Daniel Sonntag, Michael Barz, Jan Zacharias, Sven Stauden, Vahid Rahmani, Áron Fóthi, András Lörincz:
Fine-tuning deep CNN models on specific MS COCO categories. CoRR abs/1709.01476 (2017) - 2016
- [c4]Pascal Lessel, Maximilian Altmeyer, Frederic Kerber, Michael Barz, Cornelius Leidinger, Antonio Krüger:
WaterCoaster: A Device to Encourage People in a Playful Fashion to Reach Their Daily Water Intake Level. CHI Extended Abstracts 2016: 1813-1820 - [c3]Michael Barz, Florian Daiber, Andreas Bulling:
Prediction of gaze estimation error for error-aware gaze-based interfaces. ETRA 2016: 275-278 - [c2]Michael Barz, Mohammad Mehdi Moniri, Markus Weber, Daniel Sonntag:
Multimodal multisensor activity annotation tool. UbiComp Adjunct 2016: 17-20 - [c1]Michael Barz, Daniel Sonntag:
Gaze-guided object classification using deep neural networks for attention-based computing. UbiComp Adjunct 2016: 253-256
Coauthor Index
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