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Michael Barz
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2020 – today
- 2024
- [j6]Abdulrahman Mohamed Selim, Michael Barz, Omair Shahzad Bhatti, Hasan Md Tusfiqur Alam, Daniel Sonntag:
A review of machine learning in scanpath analysis for passive gaze-based interaction. Frontiers Artif. Intell. 7 (2024) - [c38]Abdulrahman Mohamed Selim, Maurice Rekrut, Michael Barz, Daniel Sonntag:
Speech Imagery BCI Training Using Game with a Purpose. AVI 2024: 43:1-43:5 - [c37]Omair Shahzad Bhatti, Harshinee Sriram, Abdulrahman Mohamed Selim, Cristina Conati, Michael Barz, Daniel Sonntag:
Detecting when Users Disagree with Generated Captions. ICMI Companion 2024: 195-203 - [c36]László Kopácsi, Albert Klimenko, Michael Barz, Daniel Sonntag:
Exploring Gaze-Based Menu Navigation in Virtual Environments. SUI 2024: 40:1-40:2 - [c35]Konstantin Kuznetsov, Sara-Jane Bittner, Abdulrahman Mohamed Selim, Michael Barz, Daniel Sonntag:
FormTwin: A Framework for Pen-based Data Collection. UMAP (Adjunct Publication) 2024 - [c34]László Kopácsi, Panagiotis Karagiannis, Sotiris Makris, Johan Kildal, Andoni Rivera-Pinto, Judit Ruiz de Munain, Jesús Rosel, Maria Madarieta, Nikolaos Tseregkounis, Konstantina Salagianni, Panagiotis Aivaliotis, Michael Barz, Daniel Sonntag:
The MASTER XR Platform for Robotics Training in Manufacturing. VRST 2024: 67:1-67:2 - [c33]László Kopácsi, Tobias Sebastian Schneider, Chiara Karr, Michael Barz, Daniel Sonntag:
GazeLock: Gaze- and Lock Pattern-Based Authentication. VRST 2024: 94:1-94:2 - [i7]Hoang H. Le, Duy M. H. Nguyen, Omair Shahzad Bhatti, László Kopácsi, Thinh P. Ngo, Binh T. Nguyen, Michael Barz, Daniel Sonntag:
I-MPN: Inductive Message Passing Network for Effective and Efficient Human-in-the-Loop Annotation of Mobile Eye Tracking Data. CoRR abs/2406.06239 (2024) - [i6]Daniel Sonntag, Michael Barz, Thiago S. Gouvêa:
A look under the hood of the Interactive Deep Learning Enterprise (No-IDLE). CoRR abs/2406.19054 (2024) - 2023
- [c32]Konstantin Kuznetsov, Michael Barz, Daniel Sonntag:
Detection of contract cheating in pen-and-paper exams through the analysis of handwriting style. ICMI Companion 2023: 26-30 - [c31]László Kopácsi, Michael Barz, Omair Shahzad Bhatti, Daniel Sonntag:
IMETA: An Interactive Mobile Eye Tracking Annotation Method for Semi-automatic Fixation-to-AOI mapping. IUI Companion 2023: 33-36 - [c30]Md Abdul Kadir, Abdulrahman Mohamed Selim, Michael Barz, Daniel Sonntag:
A User Interface for Explaining Machine Learning Model Explanations. IUI Companion 2023: 59-63 - [c29]Michael Barz, Omair Shahzad Bhatti, Hasan Md Tusfiqur Alam, Duy Minh Ho Nguyen, Daniel Sonntag:
Interactive Fixation-to-AOI Mapping for Mobile Eye Tracking Data based on Few-Shot Image Classification. IUI Companion 2023: 175-178 - [c28]Christoph Albert Johns, Michael Barz, Daniel Sonntag:
Interactive Link Prediction as a Downstream Task for Foundational GUI Understanding Models. KI 2023: 75-89 - 2022
- [c27]Pablo Valdunciel, Omair Shahzad Bhatti, Michael Barz, Daniel Sonntag:
Interactive Assessment Tool for Gaze-based Machine Learning Models in Information Retrieval. CHIIR 2022: 332-336 - [c26]Konstantin Kuznetsov, Michael Barz, Daniel Sonntag:
SpellInk: Interactive Correction of Spelling Mistakes in Handwritten Text. HHAI 2022: 278-280 - [c25]Felix Céard-Falkenberg, Konstantin Kuznetsov, Alexander Prange, Michael Barz, Daniel Sonntag:
pEncode: A Tool for Visualizing Pen Signal Encodings in Real-Time. HHAI 2022: 281-284 - [c24]Omair Shahzad Bhatti, Michael Barz, Daniel Sonntag:
Leveraging Implicit Gaze-Based User Feedback for Interactive Machine Learning. KI 2022: 9-16 - [i5]Hasan Md Tusfiqur Alam, Duy M. H. Nguyen, Mai Thanh Nhat Truong, Triet A. Nguyen, Binh T. Nguyen, Michael Barz, Hans-Jürgen Profitlich, Ngoc T. T. Than, Ngan Le, Pengtao Xie, Daniel Sonntag:
DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading. CoRR abs/2212.14615 (2022) - 2021
- [j5]Michael Barz, Omair Shahzad Bhatti, Daniel Sonntag:
Implicit Estimation of Paragraph Relevance From Eye Movements. Frontiers Comput. Sci. 3: 808507 (2021) - [j4]Sebastian Kapp, Michael Barz, Sergey Mukhametov, Daniel Sonntag, Jochen Kuhn:
ARETT: Augmented Reality Eye Tracking Toolkit for Head Mounted Displays. Sensors 21(6): 2234 (2021) - [j3]Michael Barz, Daniel Sonntag:
Automatic Visual Attention Detection for Mobile Eye Tracking Using Pre-Trained Computer Vision Models and Human Gaze. Sensors 21(12): 4143 (2021) - [j2]Luisa Lauer, Kristin Altmeyer, Sarah Malone, Michael Barz, Roland Brünken, Daniel Sonntag, Markus Peschel:
Investigating the Usability of a Head-Mounted Display Augmented Reality Device in Elementary School Children. Sensors 21(19): 6623 (2021) - [c23]Alexander Prange, Michael Barz, Anika Heimann-Steinert, Daniel Sonntag:
Explainable Automatic Evaluation of the Trail Making Test for Dementia Screening. CHI 2021: 382:1-382:9 - [c22]Michael Barz, Sebastian Kapp, Jochen Kuhn, Daniel Sonntag:
Automatic Recognition and Augmentation of Attended Objects in Real-time using Eye Tracking and a Head-mounted Display. ETRA Adjunct 2021: 3:1-3:4 - [c21]Omair Shahzad Bhatti, Michael Barz, Daniel Sonntag:
EyeLogin - Calibration-free Authentication Method for Public Displays Using Eye Gaze. ETRA Short Papers 2021: 14:1-14:7 - [c20]Michael Barz, Omair Shahzad Bhatti, Bengt Lüers, Alexander Prange, Daniel Sonntag:
Multisensor-Pipeline: A Lightweight, Flexible, and Extensible Framework for Building Multimodal-Multisensor Interfaces. ICMI Companion 2021: 13-18 - [c19]Rajarshi Biswas, Michael Barz, Mareike Hartmann, Daniel Sonntag:
Improving German Image Captions Using Machine Translation and Transfer Learning. SLSP 2021: 3-14 - 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) - [c18]Michael Barz, Sven Stauden, Daniel Sonntag:
Visual Search Target Inference in Natural Interaction Settings with Machine Learning. ETRA 2020: 1:1-1:8 - [c17]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
- [c16]Michael Barz, Daniel Sonntag:
Incremental Improvement of a Question Answering System by Re-ranking Answer Candidates Using Machine Learning. IWSDS 2019: 367-379 - [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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last updated on 2024-11-07 20:33 CET by the dblp team
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