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Björn M. Eskofier
Bjoern M. Eskofier
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- affiliation: University of Erlangen-Nuremberg, Germany
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2020 – today
- 2024
- [j107]Johannes Roider
, An Nguyen
, Dario Zanca
, Bjoern M. Eskofier
:
Assessing the Performance of Remaining Time Prediction Methods for Business Processes. IEEE Access 12: 130583-130601 (2024) - [j106]Katharina M. Jaeger
, Michael Nissen
, Madeleine Flaucher
, Luisa Graf, Joana Joanidopoulos, Lars Anneken, Hanna Huebner
, Chloë Goossens
, Adriana Titzmann, Constanza Pontones, Peter A. Fasching, Matthias W. Beckmann, Bjoern M. Eskofier
, Heike Leutheuser
:
Systematic Comparison of ECG Delineation Algorithm Performance on Smartwatch Data. IEEE Access 12: 160794-160804 (2024) - [j105]Kai Klede
, Thomas R. Altstidl
, Dario Zanca
, Björn M. Eskofier
:
The Impact of Random Models on Standardized Clustering Similarity. IEEE Access 12: 179879-179890 (2024) - [j104]Philipp Dumbach
, Leo Schwinn, Tim Löhr, Phi Long Do, Bjoern M. Eskofier:
Artificial intelligence trend analysis on healthcare podcasts using topic modeling and sentiment analysis: a data-driven approach. Evol. Intell. 17(4): 2145-2166 (2024) - [j103]Stefan Foerstel
, Markus Förstel, Markus Gallistl, Dario Zanca, Bjoern M. Eskofier
, Eva Rothgang:
Data quality in hospital information systems: Lessons learned from analyzing 30 years of patient data in a regional German hospital. Int. J. Medical Informatics 192: 105636 (2024) - [j102]Jannik Koegel, Stacy Huerta, Markus Gambietz
, Martin Ullrich, Christian Heyde, Eva Dorschky, Björn M. Eskofier
:
Clustering Runners' Response to Different Midsole Stack Heights: A Field Study. Sensors 24(14): 4694 (2024) - [j101]Raul C. Sîmpetru
, Andreas Arkudas
, Dominik I. Braun
, Marius Osswald
, Daniela Souza De Oliveira
, Bjoern M. Eskofier
, Thomas Kinfe
, Alessandro Del Vecchio
:
Learning a Hand Model From Dynamic Movements Using High-Density EMG and Convolutional Neural Networks. IEEE Trans. Biomed. Eng. 71(12): 3556-3568 (2024) - [j100]Ann-Kristin Seifer
, Arne Küderle
, Eva Dorschky
, Hamid Moradi
, Ronny Hannemann
, Bjoern M. Eskofier
:
Step Length and Gait Speed Estimation Using a Hearing Aid Integrated Accelerometer: A Comparison of Different Algorithms. IEEE J. Biomed. Health Informatics 28(11): 6619-6628 (2024) - [j99]Philipp Schlieper
, Hermann Luft
, Kai Klede
, Christoph Strohmeyer
, Björn M. Eskofier
, Dario Zanca
:
Enhancing Unsupervised Outlier Model Selection: A Study on IREOS Algorithms. ACM Trans. Knowl. Discov. Data 18(7): 178 (2024) - [c153]Johannes Roider, Dario Zanca, Bjoern M. Eskofier:
Efficient Training of Recurrent Neural Networks for Remaining Time Prediction in Predictive Process Monitoring. BPM 2024: 238-255 - [c152]Bernhard Schrupp, Kai Klede
, René Raab
, Björn M. Eskofier
:
Simulation and Detection of Healthcare Fraud in German Inpatient Claims Data. ICCS (4) 2024: 239-246 - [c151]Simon Dietz, Thomas Altstidl, Dario Zanca, Björn M. Eskofier, An Nguyen:
How Intermodal Interaction Affects the Performance of Deep Multimodal Fusion for Mixed-Type Time Series. IJCNN 2024: 1-8 - [c150]Hamid Moradi
, Madeleine Flaucher, Tabea Ott
, Veronika Ringgold, Björn M. Eskofier, Heike Leutheuser:
Can HCI Lead the Way? Workshop on Exploring Conscious AI. MuC (Workshopband) 2024 - [c149]Anastasiya Zakreuskaya
, Daniel Buschek
, Wendy E. Mackay
, Ignacio Avellino
, Graham Dove
, Bjoern M. Eskofier
:
From Text to Treatment: How Medical Discharge Letters Are Used as a Key Artifact for Managing Patient Care. MuC 2024: 99-110 - [c148]Daniel Zieger, Florian Güthlein, Jann-Ole Henningson
, Verena Jakob, Heiko Gaßner
, Julian Shanbhag
, Sophie Fleischmann, Jörg Miehling, Sandro Wartzack
, Björn M. Eskofier, Jürgen Winkler, Bernhard Egger
, Marc Stamminger
:
3D Body Twin: Improving Human Gait Visualizations Using Personalized Avatars. ShapeMI@MICCAI 2024: 70-83 - [c147]Thomas Altstidl, David Dobre, Arthur Kosmala, Bjoern M. Eskofier, Gauthier Gidel, Leo Schwinn:
On the Scalability of Certified Adversarial Robustness with Generated Data. NeurIPS 2024 - [c146]Madeleine Flaucher
, Florian Pruemer
, Katharina Maria Jaeger
, Jana Rolny
, Patricia Trissler
, Sebastian Eckl
, Bjoern M. Eskofier
, Heike Leutheuser
:
Motivational Factors for Experienced Users of Mobile Health Applications in Heart Failure Management. NordiCHI (Adjunct) 2024: 31:1-31:5 - [d9]Bernhard Schrupp, Kai Klede
, René Raab
, Björn M. Eskofier
:
Simulated German Inpatient Claims Data. Zenodo, 2024 - [i35]Björn Nieth, Thomas Altstidl, Leo Schwinn, Björn M. Eskofier:
Large-Scale Dataset Pruning in Adversarial Training through Data Importance Extrapolation. CoRR abs/2406.13283 (2024) - [i34]Simon Dietz, Thomas Altstidl, Dario Zanca, Björn M. Eskofier, An Nguyen:
How Intermodal Interaction Affects the Performance of Deep Multimodal Fusion for Mixed-Type Time Series. CoRR abs/2406.15098 (2024) - [i33]Aditya Parikh, Misha Sadeghi, Bjoern M. Eskofier:
Exploring Facial Biomarkers for Depression through Temporal Analysis of Action Units. CoRR abs/2407.13753 (2024) - [i32]Mahadev Prasad Panda, Matteo Tiezzi, Martina G. Vilas, Gemma Roig, Bjoern M. Eskofier, Dario Zanca:
Human-inspired Explanations for Vision Transformers and Convolutional Neural Networks. CoRR abs/2408.02123 (2024) - [i31]Dario Zanca, Andrea Zugarini, Simon Dietz, Thomas R. Altstidl, Mark A. Turban Ndjeuha, Leo Schwinn, Björn M. Eskofier:
Caption-Driven Explorations: Aligning Image and Text Embeddings through Human-Inspired Foveated Vision. CoRR abs/2408.09948 (2024) - [i30]Farnaz Rahimi, Mohammad Ali Badamchizadeh, Raul C. Sîmpetru, Sehraneh Ghaemi, Bjoern M. Eskofier, Alessandro Del Vecchio:
Simultaneous Control of Human Hand Joint Positions and Grip Force via HD-EMG and Deep Learning. CoRR abs/2410.23986 (2024) - 2023
- [j98]Leo Schwinn
, René Raab
, An Nguyen, Dario Zanca
, Björn M. Eskofier:
Exploring misclassifications of robust neural networks to enhance adversarial attacks. Appl. Intell. 53(17): 19843-19859 (2023) - [j97]João Elison da Rosa Tavares
, Martin Ullrich, Nils Roth
, Felix Kluge, Bjoern M. Eskofier
, Heiko Gaßner, Jochen Klucken
, Till Gladow
, Franz Marxreiter
, Cristiano André da Costa
, Rodrigo da Rosa Righi, Jorge Luis Victória Barbosa
:
uTUG: An unsupervised Timed Up and Go test for Parkinson's disease. Biomed. Signal Process. Control. 81: 104394 (2023) - [j96]Kenneth MacSporran Mayer
, Alessandro Del Vecchio, Bjoern M. Eskofier, Dario Farina
:
Unsupervised neural decoding of signals recorded by thin-film electrode arrays implanted in muscles using autoencoding with a physiologically derived optimisation criterion. Biomed. Signal Process. Control. 86(Part B): 105178 (2023) - [j95]Alzhraa A. Ibrahim, Werner Adler, Heiko Gaßner, Veit Rothhammer
, Felix Kluge, Bjoern M. Eskofier:
Association between cognition and gait in multiple sclerosis: A smartphone-based longitudinal analysis. Int. J. Medical Informatics 177: 105145 (2023) - [j94]Arne Küderle
, Robert Richer
, Raul C. Sîmpetru
, Bjoern M. Eskofier
:
tpcp: Tiny Pipelines for Complex Problems - A set of framework independent helpers for algorithms development and evaluation. J. Open Source Softw. 8(82): 4953 (2023) - [j93]Michael Nissen
, Nuria Barrios Campo, Madeleine Flaucher
, Katharina M. Jaeger
, Adriana Titzmann, Dominik Blunck
, Peter A. Fasching
, Victoria Engelhardt, Bjoern M. Eskofier
, Heike Leutheuser
:
Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data. npj Digit. Medicine 6 (2023) - [j92]Maximilian P. Oppelt, Andreas Foltyn, Jessica Deuschel, Nadine R. Lang, Nina Holzer, Bjoern M. Eskofier
, Seung Hee Yang:
ADABase: A Multimodal Dataset for Cognitive Load Estimation. Sensors 23(1): 340 (2023) - [j91]Christoph Scholl
, Maximilian Spiegler
, Klaus Ludwig, Bjoern M. Eskofier
, Andreas Tobola
, Dario Zanca
:
An Integrated Framework for Data Quality Fusion in Embedded Sensor Systems. Sensors 23(8): 3798 (2023) - [j90]Ann-Kristin Seifer
, Eva Dorschky
, Arne Küderle
, Hamid Moradi
, Ronny Hannemann
, Björn M. Eskofier
:
EarGait: Estimation of Temporal Gait Parameters from Hearing Aid Integrated Inertial Sensors. Sensors 23(14): 6565 (2023) - [j89]Martin Ullrich
, Nils Roth
, Arne Küderle
, Robert Richer
, Till Gladow, Heiko Gaßner
, Franz Marxreiter
, Jochen Klucken
, Bjoern M. Eskofier
, Felix Kluge
:
Fall Risk Prediction in Parkinson's Disease Using Real-World Inertial Sensor Gait Data. IEEE J. Biomed. Health Informatics 27(1): 319-328 (2023) - [j88]Sergio Cerutti
, Björn M. Eskofier
, Georgia D. Tourassi
:
Guest Editorial Advancing Biomedical Discovery and Healthcare Delivery Through Digital Technology. IEEE J. Biomed. Health Informatics 27(6): 2656-2659 (2023) - [j87]Zhao Ren
, Björn W. Schuller
, Björn M. Eskofier, Thanh Tam Nguyen, Wolfgang Nejdl:
Guest Editorial Trustworthy and Collaborative AI for Personalised Healthcare Through Edge-of-Things. IEEE J. Biomed. Health Informatics 27(11): 5213-5215 (2023) - [j86]Christoffer Löffler, Kion Fallah, Stefano Fenu, Dario Zanca, Björn M. Eskofier, Christopher John Rozell, Christopher Mutschler:
Active Learning of Ordinal Embeddings: A User Study on Football Data. Trans. Mach. Learn. Res. 2023 (2023) - [c145]Kai Klede
, Leo Schwinn, Dario Zanca
, Björn M. Eskofier:
FastAMI - a Monte Carlo Approach to the Adjustment for Chance in Clustering Comparison Metrics. AAAI 2023: 8317-8324 - [c144]Johanna Bräunig, Desar Mejdani, Daniel Krauss, Stefan Grießhammer, Robert Richer, Christian Schuessler, Julia Beatriz Yip, Tobias Steigleder, Christoph Ostgathe, Bjoern M. Eskofier, Martin Vossiek:
Radar-based Recognition of Activities of Daily Living in the Palliative Care Context Using Deep Learning. BHI 2023: 1-4 - [c143]Marie Oesten, Robert Richer, Luca Abel
, Nicolas Rohleder, Bjoern M. Eskofier:
VoStress - Voice-based Detection of Acute Psychosocial Stress. BHI 2023: 1-4 - [c142]Misha Sadeghi, Bernhard Egger, Reza Agahi, Robert Richer, Klara Capito, Lydia Helene Rupp, Lena Schindler-Gmelch, Matthias Berking, Bjoern M. Eskofier:
Exploring the Capabilities of a Language Model-Only Approach for Depression Detection in Text Data. BHI 2023: 1-5 - [c141]Linda Vorberg, Siri Pflueger, Robert Richer, Katharina M. Jäger, Arne Küderle, Nicolas Rohleder, Bjoern M. Eskofier:
Prediction of Stress Coping Capabilities from Nightly Heart Rate Patterns using Machine Learning. BHI 2023: 1-4 - [c140]Andrea Zugarini, Thomas Rothenbacher, Kai Klede, Marco Ernandes, Bjoern M. Eskofier, Dario Zanca:
Die Rätselrevolution: Automated German Crossword Solving. CLiC-it 2023 - [c139]Elisabeth Gabler, Michael Nissen, Thomas R. Altstidl, Adriana Titzmann, Kai Packhäuser, Andreas K. Maier, Peter A. Fasching, Bjoern M. Eskofier, Heike Leutheuser:
Fetal Re-Identification in Multiple Pregnancy Ultrasound Images Using Deep Learning. EMBC 2023: 1-4 - [c138]Hamid Moradi
, Julius Hannink, Sabine Stallforth, Till Gladow, Stefan Ringbauer, Martin Mayr, Jürgen Winkler, Jochen Klucken
, Bjoern M. Eskofier:
Monitoring medication optimization in patients with Parkinson's disease. EMBC 2023: 1-4 - [c137]Michael Nissen, Madeleine Flaucher, Katharina M. Jaeger, Hanna Huebner, Nina Danzberger, Adriana Titzmann, Constanza A. Pontones, Peter A. Fasching, Bjoern M. Eskofier, Heike Leutheuser:
WebPPG: Feasibility and Usability of Self-Performed, Browser-Based Smartphone Photoplethysmography. EMBC 2023: 1-4 - [c136]Thomas Altstidl
, An Nguyen, Leo Schwinn, Franz Köferl, Christopher Mutschler, Björn M. Eskofier, Dario Zanca
:
Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks. IJCNN 2023: 1-8 - [c135]Maximilian Stahlke, Tobias Feigl, Sebastian Kram, Bjoern M. Eskofier, Christopher Mutschler:
Uncertainty-based Fingerprinting Model Selection for Radio Localization. IPIN 2023: 1-6 - [c134]Madeleine Flaucher, Anastasiya Zakreuskaya, Katharina M. Jäger, Robert Richer, Jan David Smeddinck
, Devender Kumar
, Sophie Grimme, Julia Klein, Robert Hrynyschyn, Bjoern M. Eskofier, Heike Leutheuser:
Your Health, Your Data: Combining Interdisciplinary Views, Concepts, and Practices to Empower Patients in Their Engagement With Personal Health Data. MuC (Workshopband) 2023 - [c133]Kai Klede, Thomas Altstidl, Dario Zanca, Bjoern M. Eskofier:
p-value Adjustment for Monotonous, Unbiased, and Fast Clustering Comparison. NeurIPS 2023 - [d8]Arne Küderle
, Nils Roth
, Robert Richer
, Bjoern M. Eskofier
:
imucal - A Python library to calibrate 6 DOF IMUs. Version v2.4.0. Zenodo, 2023 [all versions] - [d7]Marlies Nitschke
, Eva Dorschky
, Sigrid Leyendecker
, Bjoern M. Eskofier
, Anne D. Koelewijn
:
3D kinematics and kinetics of change of direction motions reconstructed from virtual inertial sensor data through optimal control simulation. Zenodo, 2023 - [d6]Matthias Zuerl
, Richard Dirauf, Franz Köferl
, Nils Steinlein, Jonas Sueskind, Dario Zanca
, Ingrid Brehm, Lorenzo von Fersen
, Bjoern M. Eskofier
:
PolarBearVidID: A Video-based Re-Identification Benchmark Dataset for Polar Bears. Zenodo, 2023 - [i29]Kai Klede, Leo Schwinn, Dario Zanca, Björn M. Eskofier:
FastAMI - a Monte Carlo Approach to the Adjustment for Chance in Clustering Comparison Metrics. CoRR abs/2305.03022 (2023) - [i28]Thomas Altstidl, David Dobre, Björn M. Eskofier, Gauthier Gidel, Leo Schwinn:
Raising the Bar for Certified Adversarial Robustness with Diffusion Models. CoRR abs/2305.10388 (2023) - [i27]Dario Zanca, Andrea Zugarini, Simon Dietz, Thomas R. Altstidl, Mark A. Turban Ndjeuha, Leo Schwinn, Bjoern M. Eskofier:
Contrastive Language-Image Pretrained Models are Zero-Shot Human Scanpath Predictors. CoRR abs/2305.12380 (2023) - [i26]Toni Albert, Bjoern M. Eskofier, Dario Zanca:
From Patches to Objects: Exploiting Spatial Reasoning for Better Visual Representations. CoRR abs/2305.12384 (2023) - [i25]Maximilian Stahlke, George Yammine, Tobias Feigl, Bjoern M. Eskofier, Christopher Mutschler:
Velocity-Based Channel Charting with Spatial Distribution Map Matching. CoRR abs/2311.08016 (2023) - 2022
- [j85]Vinicius Facco Rodrigues, Rodolfo Stoffel Antunes
, Lucas Adams Seewald, Rodrigo Bazo, Eduardo Souza dos Reis, Uélison Jean Lopes dos Santos, Rodrigo da Rosa Righi, Luiz Gonzaga da Silveira Jr., Cristiano André da Costa, Felipe L. Bertollo, Andreas Maier, Bjoern M. Eskofier, Tim Horz, Marcus Pfister, Rebecca Fahrig:
A multi-sensor architecture combining human pose estimation and real-time location systems for workflow monitoring on hybrid operating suites. Future Gener. Comput. Syst. 135: 283-298 (2022) - [j84]Vinicius Facco Rodrigues
, Rodrigo da Rosa Righi
, Cristiano André da Costa
, Rodolfo Stoffel Antunes
, Rodrigo Bazo, Eduardo Souza dos Reis, Lucas Adams Seewald, Luiz Gonzaga da Silveira Jr.
, Björn M. Eskofier
:
HealthStack: Providing an IoT Middleware for Malleable QoS Service Stacking for Hospital 4.0 Operating Rooms. IEEE Internet Things J. 9(19): 18406-18430 (2022) - [j83]Arne Küderle
, Nils Roth
, Robert Richer
, Bjoern M. Eskofier
:
imucal - A Python library to calibrate 6 DOF IMUs. J. Open Source Softw. 7(74): 4338 (2022) - [j82]Maike P. Stoeve
, Markus Wirth, Rosanna Farlock, André Antunovic, Victoria Müller, Bjoern M. Eskofier:
Eye Tracking-Based Stress Classification of Athletes in Virtual Reality. Proc. ACM Comput. Graph. Interact. Tech. 5(2): 19:1-19:17 (2022) - [j81]Annette Hagengruber
, Ulrike Leipscher, Bjoern M. Eskofier
, Jörn Vogel:
A New Labeling Approach for Proportional Electromyographic Control. Sensors 22(4): 1368 (2022) - [j80]Johannes Link
, Timur Perst, Maike P. Stoeve
, Bjoern M. Eskofier
:
Wearable Sensors for Activity Recognition in Ultimate Frisbee Using Convolutional Neural Networks and Transfer Learning. Sensors 22(7): 2560 (2022) - [j79]Jesus D. Ceron
, Diego M. López
, Felix Kluge
, Bjoern M. Eskofier
:
Framework for Simultaneous Indoor Localization, Mapping, and Human Activity Recognition in Ambient Assisted Living Scenarios. Sensors 22(9): 3364 (2022) - [j78]Mohamad Wehbi
, Daniel Luge, Tim Hamann, Jens Barth
, Peter Kaempf, Dario Zanca
, Bjoern M. Eskofier
:
Surface-Free Multi-Stroke Trajectory Reconstruction and Word Recognition Using an IMU-Enhanced Digital Pen. Sensors 22(14): 5347 (2022) - [j77]Malte Ollenschläger
, Arne Küderle
, Wolfgang A. Mehringer, Ann-Kristin Seifer, Jürgen Winkler
, Heiko Gaßner
, Felix Kluge
, Bjoern M. Eskofier
:
MaD GUI: An Open-Source Python Package for Annotation and Analysis of Time-Series Data. Sensors 22(15): 5849 (2022) - [j76]Johannes Link
, Leo Schwinn
, Falk Pulsmeyer
, Thomas Kautz, Bjoern M. Eskofier
:
xLength: Predicting Expected Ski Jump Length Shortly after Take-Off Using Deep Learning. Sensors 22(21): 8474 (2022) - [j75]Jennifer Maier
, Marlies Nitschke
, Jang-Hwan Choi
, Garry Gold
, Rebecca Fahrig, Bjoern M. Eskofier
, Andreas Maier
:
Rigid and Non-Rigid Motion Compensation in Weight-Bearing CBCT of the Knee Using Simulated Inertial Measurements. IEEE Trans. Biomed. Eng. 69(5): 1608-1619 (2022) - [j74]Christoffer Löffler
, Luca Reeb, Daniel Dzibela, Robert Marzilger, Nicolas Witt, Björn M. Eskofier, Christopher Mutschler:
Deep Siamese Metric Learning: A Highly Scalable Approach to Searching Unordered Sets of Trajectories. ACM Trans. Intell. Syst. Technol. 13(1): 6:1-6:23 (2022) - [j73]Rodolfo Stoffel Antunes
, Cristiano André da Costa, Arne Küderle, Imrana Abdullahi Yari, Björn M. Eskofier:
Federated Learning for Healthcare: Systematic Review and Architecture Proposal. ACM Trans. Intell. Syst. Technol. 13(4): 54:1-54:23 (2022) - [j72]Nils Roth
, Martin Ullrich
, Arne Küderle
, Till Gladow, Franz Marxreiter
, Heiko Gassner
, Felix Kluge
, Jochen Klucken
, Bjoern M. Eskofier
:
Real-World Stair Ambulation Characteristics Differ Between Prospective Fallers and Non-Fallers in Parkinson's Disease. IEEE J. Biomed. Health Informatics 26(9): 4733-4742 (2022) - [j71]Leo Schwinn, Doina Precup, Björn M. Eskofier, Dario Zanca:
Behind the Machine's Gaze: Neural Networks with Biologically-inspired Constraints Exhibit Human-like Visual Attention. Trans. Mach. Learn. Res. 2022 (2022) - [j70]Wolfgang A. Mehringer
, Markus Wirth, Daniel Roth, Georg Michelson, Bjoern M. Eskofier:
Stereopsis Only: Validation of a Monocular Depth Cues Reduced Gamified Virtual Reality with Reaction Time Measurement. IEEE Trans. Vis. Comput. Graph. 28(5): 2114-2124 (2022) - [c132]Liv Herzer, Annika Muecke, Robert Richer, Nils C. Albrecht, Markus Heyder, Katharina M. Jäger, Veronika Koenig, Alexander Koelpin
, Nicolas Rohleder, Bjoern M. Eskofier:
Influence of Sensor Position and Body Movements on Radar-Based Heart Rate Monitoring. BHI 2022: 1-4 - [c131]Katharina M. Jäger, Michael Nissen, Robert Richer, Simone Rahm, Adriana Titzmann, Peter A. Fasching, Bjoern M. Eskofier, Heike Leutheuser:
Machine Learning-based Detection of In-Utero Fetal Presentation from Non-Invasive Fetal ECG. BHI 2022: 1-4 - [c130]Hamid Moradi
, Nils Roth, Ann-Kristin Seifer, Bjoern M. Eskofier:
Detection of distorted gait and wearing-off phenomenon in Parkinson's disease patients during Levodopa therapy. BHI 2022: 1-4 - [c129]Victoria Müller, Robert Richer, Lea Henrich, Leonie Berger, Antonia Gelardi, Katharina M. Jäger, Bjoern M. Eskofier, Nicolas Rohleder:
The Stroop Competition: A Social-Evaluative Stroop Test for Acute Stress Induction. BHI 2022: 1-4 - [c128]Hui Lu
, Julia Beatriz Yip, Tobias Steigleder, Stefan Grießhammer, Maria Heckel, Naga Venkata Sai Jitin Jami, Bjoern M. Eskofier, Christoph Ostgathe, Alexander Koelpin
:
A Lightweight Robust Approach for Automatic Heart Murmurs and Clinical Outcomes Classification from Phonocardiogram Recordings. CinC 2022: 1-4 - [c127]Jutta Juliane Meier, Kai Hermsen, Jochen Bauer, Björn M. Eskofier:
Digital Responsibility Goals - A Framework for a Human-Centered Sustainable Digital Economy with a Focus on Trusted Digital Solutions. dHealth 2022: 250-259 - [c126]Jingna Qiu, Maximilian P. Oppelt, Michael Nissen, Lars Anneken, Katharina Breininger, Bjoern M. Eskofier:
Improving Deep Learning-based Cardiac Abnormality Detection in 12-Lead ECG with Data Augmentation. EMBC 2022: 945-949 - [c125]Andre L. Cakici
, Marius Osswald, Daniela Souza De Oliveira, Dominik I. Braun
, Raul C. Sîmpetru
, Thomas Kinfe
, Bjoern M. Eskofier, Alessandro Del Vecchio:
A Generalized Framework for the Study of Spinal Motor Neurons Controlling the Human Hand During Dynamic Movements. EMBC 2022: 4115-4118 - [c124]Leo Schwinn, Leon Bungert, An Nguyen, René Raab, Falk Pulsmeyer, Doina Precup, Bjoern M. Eskofier, Dario Zanca:
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification. ICML 2022: 19434-19449 - [c123]Lukas M. Schmidt, Johanna Brosig, Axel Plinge, Bjoern M. Eskofier, Christopher Mutschler:
An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility. ITSC 2022: 1342-1349 - [c122]Lukas M. Schmidt, Sebastian Rietsch, Axel Plinge, Bjoern M. Eskofier, Christopher Mutschler:
How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies. ITSC 2022: 1913-1920 - [d5]Thomas Altstidl
, An Nguyen
, Leo Schwinn
, Franz Köferl
, Christopher Mutschler
, Björn M. Eskofier
, Dario Zanca
:
Scaled and Translated Image Recognition (STIR). Zenodo, 2022 - [d4]Arne Küderle
, Nils Roth
, Robert Richer
, Bjoern M. Eskofier
:
imucal - A Python library to calibrate 6 DOF IMUs. Version 2.0.2. Zenodo, 2022 [all versions] - [d3]Arne Küderle
, Nils Roth
, Robert Richer
, Bjoern M. Eskofier
:
imucal - A Python library to calibrate 6 DOF IMUs. Version 2.0.2. Zenodo, 2022 [all versions] - [d2]Marlies Nitschke
, Robert Marzilger
, Sigrid Leyendecker
, Bjoern M. Eskofier
, Anne D. Koelewijn
:
Optical motion capturing of change of direction motions reconstructed with inverse kinematics and dynamics and optimal control simulation. Zenodo, 2022 - [d1]Matthias Zuerl
, Philip Stoll, Ingrid Brehm, René Raab
, Dario Zanca
, Johanna Happold, Samira Kabri, Heiko Nille, Katharina Prechtel, Sophie Wuensch, Marie Krause, Stefan Seegerer, Lorenzo von Fersen
, Björn M. Eskofier
:
Nuremberg Polar Bear Dataset. Zenodo, 2022 - [i24]Lukas M. Schmidt, Johanna Brosig, Axel Plinge, Bjoern M. Eskofier, Christopher Mutschler:
An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility. CoRR abs/2203.07676 (2022) - [i23]Christoffer Löffler
, Wei-Cheng Lai, Bjoern M. Eskofier, Dario Zanca, Lukas Schmidt, Christopher Mutschler:
Don't Get Me Wrong: How to apply Deep Visual Interpretations to Time Series. CoRR abs/2203.07861 (2022) - [i22]Lukas M. Schmidt, Sebastian Rietsch, Axel Plinge, Bjoern M. Eskofier, Christopher Mutschler:
How to Learn from Risk: Explicit Risk-Utility Reinforcement Learning for Efficient and Safe Driving Strategies. CoRR abs/2203.08409 (2022) - [i21]Leo Schwinn, Doina Precup, Björn M. Eskofier, Dario Zanca:
Behind the Machine's Gaze: Biologically Constrained Neural Networks Exhibit Human-like Visual Attention. CoRR abs/2204.09093 (2022) - [i20]Leo Schwinn, Leon Bungert, An Nguyen, René Raab, Falk Pulsmeyer, Doina Precup, Björn M. Eskofier, Dario Zanca:
Improving Robustness against Real-World and Worst-Case Distribution Shifts through Decision Region Quantification. CoRR abs/2205.09619 (2022) - [i19]Christoffer Löffler, Kion Fallah, Stefano Fenu, Dario Zanca, Bjoern M. Eskofier, Christopher John Rozell, Christopher Mutschler:
Active Learning of Ordinal Embeddings: A User Study on Football Data. CoRR abs/2207.12710 (2022) - [i18]Maximilian Stahlke, George Yammine, Tobias Feigl, Bjoern M. Eskofier, Christopher Mutschler:
Indoor Localization with Robust Global Channel Charting: A Time-Distance-Based Approach. CoRR abs/2210.06294 (2022) - [i17]Thomas Altstidl, An Nguyen, Leo Schwinn, Franz Köferl, Christopher Mutschler, Björn M. Eskofier, Dario Zanca:
Just a Matter of Scale? Reevaluating Scale Equivariance in Convolutional Neural Networks. CoRR abs/2211.10288 (2022) - [i16]Leo Schwinn, Doina Precup, Björn M. Eskofier, Dario Zanca:
Simulating Human Gaze with Neural Visual Attention. CoRR abs/2211.12100 (2022) - 2021
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3D Non-Rigid Alignment of Low-Dose Scans Allows to Correct for Saturation in Lower Extremity Cone-Beam CT. IEEE Access 9: 71821-71831 (2021) - [j68]An Nguyen
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System Design for a Data-Driven and Explainable Customer Sentiment Monitor Using IoT and Enterprise Data. IEEE Access 9: 117140-117152 (2021) - [j67]Denise Bandeira da Silva, Diogo Schmidt, Cristiano André da Costa
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DeepSigns: A predictive model based on Deep Learning for the early detection of patient health deterioration. Expert Syst. Appl. 165: 113905 (2021) - [j66]