Georg Dorffner

Orcid: 0000-0002-3181-2576

Affiliations:
  • Medical University of Vienna


According to our database1, Georg Dorffner authored at least 74 papers between 1985 and 2023.

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

Timeline

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Bibliography

2023
Improving Generalization Capability of Deep Learning-Based Nuclei Instance Segmentation by Non-deterministic Train Time and Deterministic Test Time Stain Normalization.
CoRR, 2023

NuInsSeg: A Fully Annotated Dataset for Nuclei Instance Segmentation in H&E-Stained Histological Images.
CoRR, 2023

2022
Relational local electroencephalography representations for sleep scoring.
Neural Networks, 2022

A global analysis of metrics used for measuring performance in natural language processing.
CoRR, 2022

2021
CryoNuSeg: A dataset for nuclei instance segmentation of cryosectioned H&E-stained histological images.
Comput. Biol. Medicine, 2021

Self-Attention Long-Term Dependency Modelling in Electroencephalography Sleep Stage Prediction.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Improving Mask R-CNN for Nuclei Instance Segmentation in Hematoxylin & Eosin-Stained Histological Images.
Proceedings of the MICCAI Workshop on Computational Pathology, 2021

2020
A critical analysis of metrics used for measuring progress in artificial intelligence.
CoRR, 2020

Deep contextualized embeddings for quantifying the informative content in biomedical text summarization.
Comput. Methods Programs Biomed., 2020

Transfer learning using a multi-scale and multi-network ensemble for skin lesion classification.
Comput. Methods Programs Biomed., 2020

Investigating and Exploiting Image Resolution for Transfer Learning-based Skin Lesion Classification.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Using hyperbolic large-margin classifiers for biological link prediction.
Proceedings of the 5th Workshop on Semantic Deep Learning, 2019

2018
Bayesian deep neural networks for low-cost neurophysiological markers of Alzheimer's disease severity.
CoRR, 2018

2017
Estimation of Sleep Quality by Using Microstructure Profiles.
Proceedings of the Artificial Intelligence in Medicine, 2017

Echo State Networks as Novel Approach for Low-Cost Myoelectric Control.
Proceedings of the Artificial Intelligence in Medicine, 2017

Bayesian Gaussian Process Classification from Event-Related Brain Potentials in Alzheimer's Disease.
Proceedings of the Artificial Intelligence in Medicine, 2017

2012
Extracting more information from EEG recordings for a better description of sleep.
Comput. Methods Programs Biomed., 2012

2008
Neural Network Models for Conditional Distribution Under Bayesian Analysis.
Neural Comput., 2008

Adaptive Machine Learning in Delayed Feedback Domains by Selective Relearning.
Appl. Artif. Intell., 2008

2007
Perception and Developmental Learning of Affordances in Autonomous Robots.
Proceedings of the KI 2007: Advances in Artificial Intelligence, 2007

EEG-Based Drivers' Drowsiness Monitoring Using a Hierarchical Gaussian Mixture Model.
Proceedings of the Foundations of Augmented Cognition, 2007

2006
Bayesian testing for non-linearity in volatility modeling.
Comput. Stat. Data Anal., 2006

Visual Learning of Affordance Based Cues.
Proceedings of the From Animals to Animats 9, 2006

Learning Predictive Features in Affordance based Robotic Perception Systems.
Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006

The MACS Project: An Approach to Affordance-Inspired Robot Control.
Proceedings of the Towards Affordance-Based Robot Control, 2006

06231 Executive Summary - Towards Affordance-based Robot Control.
Proceedings of the Towards Affordance-Based Robot Control, 05.06. - 09.06.2006, 2006

06231 Abstracts Collection - Towards Affordance-Based Robot Control.
Proceedings of the Towards Affordance-Based Robot Control, 05.06. - 09.06.2006, 2006

2005
Using ICA for removal of ocular artifacts in EEG recorded from blind subjects.
Neural Networks, 2005

A reliable probabilistic sleep stager based on a single EEG signal.
Artif. Intell. Medicine, 2005

2003
Simulation and Validation of an Integrated Markets Model.
J. Artif. Soc. Soc. Simul., 2003

Risk Management Application of the Recurrent Mixture Density Network Models.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

2002
Improving Biosignal Processing through Modeling Uncertainty: Bayes vs. Non-Bayes in Sleep Staging.
Appl. Artif. Intell., 2002

An Automatic, Continuous and Probabilistic Sleep Stager Based on a Hidden Markov Model.
Appl. Artif. Intell., 2002

Improvements on continuous unsupervised sleep staging.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Continuous Unsupervised Sleep Staging Based on a Single EEG Signal.
Proceedings of the Artificial Neural Networks, 2002

2001
Financial volatility trading using recurrent neural networks.
IEEE Trans. Neural Networks, 2001

Risk-neutral density extraction from option prices: improved pricing with mixture density networks.
IEEE Trans. Neural Networks, 2001

Volatility Trading ia Temporal Pattern Recognition in Quantised Financial Time Series.
Pattern Anal. Appl., 2001

Predicting the Future of Discrete Sequences from Fractal Representations of the Past.
Mach. Learn., 2001

The Effect of Incentive Schemes and Organizational Arrangements on the New Product Development Process.
Manag. Sci., 2001

A Probabilistic Approach to High-Resolution Sleep Analysis.
Proceedings of the Artificial Neural Networks, 2001

Single Trial Estimation of Evoked Potentials Using Gaussian Mixture Models with Integrated Noise Component.
Proceedings of the Artificial Neural Networks, 2001

2000
Using Hidden Markov Models to Build an Automatic, Continuous and Probabilistic Sleep Stager.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Learning in the Artificial Factory.
Proceedings of the 33rd Annual Hawaii International Conference on System Sciences (HICSS-33), 2000

Hierarchical Coordination of Economic Agents.
Proceedings of the 33rd Annual Hawaii International Conference on System Sciences (HICSS-33), 2000

The profitability of trading volatility using real-valued and symbolic models.
Proceedings of the IEEE/IAFE/INFORMS 2000 Conference on Computational Intelligence for Financial Engineering, 2000

Modelling Uncertainty in Biomedical Applications of Neural Networks.
Proceedings of the Artificial Neural Networks in Medicine and Biology, 2000

Extraction of Sleep-Spindles from the Electroencephalogram (EEG).
Proceedings of the Artificial Neural Networks in Medicine and Biology, 2000

1999
Building Predictive Models from Fractal Representations of Symbolic Sequences.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Graded Grammaticality in Prediction Fractal Machines.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Fat tails and non-linearity in volatility models: what is more important?
Proceedings of the IEEE/IAFE 1999 Conference on Computational Intelligence for Financial Engineering, 1999

A Comparison of Linear and Non-linear Classifiers for the Detection of Coronary Artery Disease in Stress-ECG.
Proceedings of the Artificial Intelligence in Medicine. Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, 1999

1998
Neural networks for recognizing patterns in cardiotocograms.
Artif. Intell. Medicine, 1998

Recurrent Neural Networks with Iterated Function Systems Dynamics.
Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998), 1998

Understanding State Space Organization in Recurrent Neural Networks with Iterative Function Systems Dynamics.
Proceedings of the Hybrid Neural Systems, 1998

1997
Synergies between Statistical Data Analysis and Neural Networks in the Control of Rotary Blood Pumps.
Cybern. Syst., 1997

Experiences with Bayesian Learning in a Real World Application.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

1994
Why Connectionism and Language Modelling Need DETE.
Connect. Sci., 1994

On using feedforward neural networks for clinical diagnostic tasks.
Artif. Intell. Medicine, 1994

1993
How connectionism can change AI and the way we think about ourselves.
Appl. Artif. Intell., 1993

1992
Concept Support as a Method for Programming Neural Networks with Symbolic Knowledge.
Proceedings of the GWAI-92: Advances in Artificial Intelligence, 16th German Conference on Artificial Intelligence, Bonn, Germany, August 31, 1992

On the Virtues of Functional Connectionist Compositionality.
Proceedings of the 10th European Conference on Artificial Intelligence, 1992

An Introduction to Neurocomputing and its Possible Role in AI.
Proceedings of the Advanced Topics in Artificial Intelligence, 1992

1991
Theory and Practice of Neural Networks.
Proceedings of the Verteilte Künstliche Intelligenz und kooperatives Arbeiten, 1991

Konnektionismus - von neuronalen Netzwerken zu einer natürlichen KI.
Leitfäden der angewandten Informatik, Teubner, ISBN: 978-3-519-02455-2, 1991

1990
Struktur und Konzeptrelationen in verteilten Netzwerken.
Proceedings of the Konnektionismus in Artificial Intelligence und Kognitionsforschung. Proceedings 6. Österreichische Artificial Intelligence-Tagung (KONNAI), 1990

A Radical View on Connectionist Language Modeling.
Proceedings of the Konnektionismus in Artificial Intelligence und Kognitionsforschung. Proceedings 6. Österreichische Artificial Intelligence-Tagung (KONNAI), 1990

Integrating Stress and Intonation into a Concept-to-Speech System.
Proceedings of the 13th International Conference on Computational Linguistics, 1990

1989
An expert advising system with acoustic output.
SIGART Newsl., 1989

Replacing symbolic rule systems with PDO Networks - Netzsprech: a German Example.
Appl. Artif. Intell., 1989

Konnektionismus in der AI.
Proceedings of the 5. Österreichische Artificial Intelligence-Tagung, 1989

1987
Parsing Phonetic Segments into Syllables.
Proceedings of the 3. Österreichische Artificial Intelligence-Tagung, 1987

1985
Morphologische Analyse und intelligente Fehlerkorrektur in VIE-LANG.
Proceedings of the Österreichische Artificial Intelligence-Tagung, 1985

GRAPHON-the Vienna speech systhesis system for arbitrary German text.
Proceedings of the IEEE International Conference on Acoustics, 1985


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