Eric Heim

Orcid: 0009-0003-5544-3204

According to our database1, Eric Heim authored at least 25 papers between 2014 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Decision-driven Methodology for Designing Uncertainty-aware AI Self-Assessment.
CoRR, 2024

Assessing LLMs for High Stakes Applications.
Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice, 2024

2022
What is Your Metric Telling You? Evaluating Classifier Calibration under Context-Specific Definitions of Reliability.
CoRR, 2022

Measuring AI Systems Beyond Accuracy.
CoRR, 2022

2021
A network model that combines latent factors and sparse graphs.
Stat. Anal. Data Min., 2021

2019
Factor Analysis on Citation, Using a Combined Latent and Logistic Regression Model.
CoRR, 2019

Constrained Generative Adversarial Networks for Interactive Image Generation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Exploiting Class Learnability in Noisy Data.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Large-scale medical image annotation with quality-controlled crowdsourcing.
PhD thesis, 2018

Clickstream Analysis for Crowd-Based Object Segmentation with Confidence.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Generating Triples With Adversarial Networks for Scene Graph Construction.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Abstract: Clickstreamanalyse zur Qualitätssicherung in der crowdbasierten Bildsegmentierung.
Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

2016
Clickstream analysis for crowd-based object segmentation with confidence.
CoRR, 2016

A learning-based, fully automatic liver tumor segmentation pipeline based on sparsely annotated training data.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Structure Sensor for mobile markerless augmented reality.
Proceedings of the Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, San Diego, California, United States, 27 February, 2016

Crowd-Algorithm Collaboration for Large-Scale Endoscopic Image Annotation with Confidence.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015
Active Perceptual Similarity Modeling with Auxiliary Information.
CoRR, 2015

Crowdtruth validation: a new paradigm for validating algorithms that rely on image correspondences.
Int. J. Comput. Assist. Radiol. Surg., 2015

Mobile markerless augmented reality and its application in forensic medicine.
Int. J. Comput. Assist. Radiol. Surg., 2015

Efficient Online Relative Comparison Kernel Learning.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Crowdgestützte Organsegmentierung: Möglichkeiten und Grenzen.
Proceedings of the 14. Jahrestagung der Deutschen Gesellschaft für Computer- und Roboterassistierte Chirurgie, 2015

Sparse multidimensional patient modeling using auxiliary confidence labels.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Comparative Validation of Single-Shot Optical Techniques for Laparoscopic 3-D Surface Reconstruction.
IEEE Trans. Medical Imaging, 2014

Relative Comparison Kernel Learning with Auxiliary Kernels.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

GPGPU-beschleunigter anisotroper ICP zur Registrierung von Tiefendaten.
Proceedings of the Bildverarbeitung für die Medizin 2014, Algorithmen - Systeme, 2014


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