GRAPHON-the Vienna speech systhesis system for arbitrary German text. - Georg Dorffner; Markus Kommenda; Gernot Kubin (ICASSP, 1985)

Morphologische Analyse und intelligente Fehlerkorrektur in VIE-LANG. - Georg Dorffner; Harald Trost (ÖGAI, 1985)

Parsing Phonetic Segments into Syllables. - Georg Dorffner; Stanley C. Kwasny; Robert F. Port (ÖGAI, 1987)

Konnektionismus in der AI. - Georg Dorffner (ÖGAI, 1989)

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

An expert advising system with acoustic output. - Harald Trost; Ernst Buchberger; Georg Dorffner (SIGART Newsl., 1989)

Integrating Stress and Intonation into a Concept-to-Speech System. - Georg Dorffner; Ernst Buchberger; Markus Kommenda (COLING, 1990)

A Radical View on Connectionist Language Modeling. - Georg Dorffner (ÖGAI, 1990)

Struktur und Konzeptrelationen in verteilten Netzwerken. - Manfred Rotter; Georg Dorffner (ÖGAI, 1990)

Konnektionismus - von neuronalen Netzwerken zu einer natürlichen KI. - Georg Dorffner (Teubner, 1991)

Theory and Practice of Neural Networks. - Georg Dorffner; Erich Prem; Claudia Ulbricht; Herbert Wiklicky (Wissensbasierte Systeme, 1991)

An Introduction to Neurocomputing and its Possible Role in AI. - Georg Dorffner (Advanced Topics in Artificial Intelligence, 1992)

On the Virtues of Functional Connectionist Compositionality. - Georg Dorffner; Manfred Rotter (ECAI, 1992)

Concept Support as a Method for Programming Neural Networks with Symbolic Knowledge. - Erich Prem; Markus Mackinger; Georg Dorffner; Gerold Porenta; Heinz Sochor (GWAI, 1992)

How connectionism can change AI and the way we think about ourselves. - Georg Dorffner (Appl. Artif. Intell., 1993)

On using feedforward neural networks for clinical diagnostic tasks. - Georg Dorffner; Gerold Porenta (Artif. Intell. Medicine, 1994)

Why Connectionism and Language Modelling Need DETE. - Georg Dorffner (Connect. Sci., 1994)

Experiences with Bayesian Learning in a Real World Application. - Peter Sykacek; Georg Dorffner; Peter Rappelsberger; Josef Zeitlhofer (NIPS, 1997)

Synergies between Statistical Data Analysis and Neural Networks in the Control of Rotary Blood Pumps. - Georg Dorffner; Christian Stöcklmayer; Christian Schmidt 009; Heinrich Schima (Cybern. Syst., 1997)

Understanding State Space Organization in Recurrent Neural Networks with Iterative Function Systems Dynamics. - Peter Tiño; Georg Dorffner; Christian Schittenkopf (Hybrid Neural Systems, 1998)

Recurrent Neural Networks with Iterated Function Systems Dynamics. - Peter Tiño; Georg Dorffner (NC, 1998)

Neural networks for recognizing patterns in cardiotocograms. - Claudia Ulbricht; Georg Dorffner; Andreas Lee (Artif. Intell. Medicine, 1998)

A Comparison of Linear and Non-linear Classifiers for the Detection of Coronary Artery Disease in Stress-ECG. - Georg Dorffner; Ernst Leitgeb; Heinz Koller (AIMDM, 1999)

Fat tails and non-linearity in volatility models: what is more important? - Christian Schittenkopf; Georg Dorffner; Engelbert J. Dockner (CIFEr, 1999)

Graded Grammaticality in Prediction Fractal Machines. - Shan Parfitt; Peter Tiño; Georg Dorffner (NIPS, 1999)

Building Predictive Models from Fractal Representations of Symbolic Sequences. - Peter Tiño; Georg Dorffner (NIPS, 1999)

Extraction of Sleep-Spindles from the Electroencephalogram (EEG). - Allan Kardec Barros; Roman Rosipal; Mark A. Girolami; Georg Dorffner; Noboru Ohnishi (ANNIMAB, 2000)

Modelling Uncertainty in Biomedical Applications of Neural Networks. - Georg Dorffner; Peter Sykacek; Christian Schittenkopf (ANNIMAB, 2000)

The profitability of trading volatility using real-valued and symbolic models. - Christian Schittenkopf; Peter Tiño; Georg Dorffner (CIFEr, 2000)

Hierarchical Coordination of Economic Agents. - Markus Feurstein; Martin Natter; Alfred Taudes; Georg Dorffner (HICSS, 2000)

Learning in the Artificial Factory. - Martin Natter; Markus Feurstein; Andreas Mild; Alfred Taudes; Michael Trcka; Georg Dorffner; Christian Merz (HICSS, 2000)

Using Hidden Markov Models to Build an Automatic, Continuous and Probabilistic Sleep Stager. - Arthur Flexer; Peter Sykacek; Georg Dorffner; Iead Rezek (IJCNN (3), 2000)

Single Trial Estimation of Evoked Potentials Using Gaussian Mixture Models with Integrated Noise Component. - Arthur Flexer; Herbert Bauer; Claus Lamm; Georg Dorffner (ICANN, 2001)

A Probabilistic Approach to High-Resolution Sleep Analysis. - Peter Sykacek; Stephen J. Roberts; Iead Rezek; Arthur Flexer; Georg Dorffner (ICANN, 2001)

The Effect of Incentive Schemes and Organizational Arrangements on the New Product Development Process. - Martin Natter; Andreas Mild; Markus Feurstein; Georg Dorffner; Alfred Taudes (Manag. Sci., 2001)

Predicting the Future of Discrete Sequences from Fractal Representations of the Past. - Peter Tiño; Georg Dorffner (Mach. Learn., 2001)

Volatility Trading ia Temporal Pattern Recognition in Quantised Financial Time Series. - Peter Tiño; Christian Schittenkopf; Georg Dorffner (Pattern Anal. Appl., 2001)

Risk-neutral density extraction from option prices: improved pricing with mixture density networks. - Christian Schittenkopf; Georg Dorffner (IEEE Trans. Neural Networks, 2001)

Financial volatility trading using recurrent neural networks. - Peter Tiño; Christian Schittenkopf; Georg Dorffner (IEEE Trans. Neural Networks, 2001)

Continuous Unsupervised Sleep Staging Based on a Single EEG Signal. - Arthur Flexer; Georg Gruber; Georg Dorffner (ICANN, 2002)

Improvements on continuous unsupervised sleep staging. - Arthur Flexer; Georg Gruber; Georg Dorffner (NNSP, 2002)

An Automatic, Continuous and Probabilistic Sleep Stager Based on a Hidden Markov Model. - Arthur Flexer; Georg Dorffner; Peter Sykacek; Iead Rezek (Appl. Artif. Intell., 2002)

Improving Biosignal Processing through Modeling Uncertainty: Bayes vs. Non-Bayes in Sleep Staging. - Peter Sykacek; Georg Dorffner; Peter Rappelsberger; Josef Zeitlhofer (Appl. Artif. Intell., 2002)

Risk Management Application of the Recurrent Mixture Density Network Models. - Tatiana Miazhynskaia; Georg Dorffner; Engelbert J. Dockner (ICANN, 2003)

Simulation and Validation of an Integrated Markets Model. - Brian Sallans; Alexander Pfister; Alexandros Karatzoglou; Georg Dorffner (J. Artif. Soc. Soc. Simul., 2003)

A reliable probabilistic sleep stager based on a single EEG signal. - Arthur Flexer; Georg Gruber; Georg Dorffner (Artif. Intell. Medicine, 2005)

Using ICA for removal of ocular artifacts in EEG recorded from blind subjects. - Arthur Flexer; Herbert Bauer; Jürgen Pripfl; Georg Dorffner (Neural Networks, 2005)

06231 Abstracts Collection - Towards Affordance-Based Robot Control. - Erich Rome; Patrick Doherty 001; Georg Dorffner; Joachim Hertzberg (Towards Affordance-Based Robot Control, 2006)

06231 Executive Summary - Towards Affordance-based Robot Control. - Erich Rome; Joachim Hertzberg; Georg Dorffner; Patrick Doherty 001 (Towards Affordance-Based Robot Control, 2006)

The MACS Project: An Approach to Affordance-Inspired Robot Control. - Erich Rome; Lucas Paletta; Erol Sahin; Georg Dorffner; Joachim Hertzberg; Ralph Breithaupt; Gerald Fritz; Jörg Irran; Florian Kintzler; Christopher Lörken; Stefan May; Emre Ugur (Towards Affordance-Based Robot Control, 2006)

Learning Predictive Features in Affordance based Robotic Perception Systems. - Gerald Fritz; Lucas Paletta; Ralph Breithaupt; Erich Rome; Georg Dorffner (IROS, 2006)

Visual Learning of Affordance Based Cues. - Gerald Fritz; Lucas Paletta; Manish Kumar; Georg Dorffner; Ralph Breithaupt; Erich Rome (SAB, 2006)

Bayesian testing for non-linearity in volatility modeling. - Tatiana Miazhynskaia; Sylvia Frühwirth-Schnatter; Georg Dorffner (Comput. Stat. Data Anal., 2006)

EEG-Based Drivers' Drowsiness Monitoring Using a Hierarchical Gaussian Mixture Model. - Roman Rosipal; Björn Peters; Göran Kecklund; Torbjörn Åkerstedt; Georg Gruber; Michael Woertz; Peter Anderer; Georg Dorffner (HCI (16), 2007)

Perception and Developmental Learning of Affordances in Autonomous Robots. - Lucas Paletta; Gerald Fritz; Florian Kintzler; Jörg Irran; Georg Dorffner (KI, 2007)

Adaptive Machine Learning in Delayed Feedback Domains by Selective Relearning. - Marcus-Christopher Ludl; Achim Lewandowski; Georg Dorffner (Appl. Artif. Intell., 2008)

Neural Network Models for Conditional Distribution Under Bayesian Analysis. - Tatiana Miazhynskaia; Sylvia Frühwirth-Schnatter; Georg Dorffner (Neural Comput., 2008)

Extracting more information from EEG recordings for a better description of sleep. - Achim Lewandowski; Roman Rosipal; Georg Dorffner (Comput. Methods Programs Biomed., 2012)

Bayesian Gaussian Process Classification from Event-Related Brain Potentials in Alzheimer's Disease. - Wolfgang Fruehwirt; Pengfei Zhang 001; Matthias Gerstgrasser; Dieter Grossegger; Reinhold Schmidt; Thomas Benke; Peter Dal-Bianco; Gerhard Ransmayr; Leonard Weydemann; Heinrich Garn; Markus Waser; Michael A. Osborne; et al. (AIME, 2017)

Echo State Networks as Novel Approach for Low-Cost Myoelectric Control. - Cosima Prahm; Alexander Schulz 001; Benjamin Paaßen; Oskar Aszmann; Barbara Hammer; Georg Dorffner (AIME, 2017)

Estimation of Sleep Quality by Using Microstructure Profiles. - Zuzana Rost'áková; Georg Dorffner; Önder Aydemir; Roman Rosipal (AIME, 2017)

Bayesian deep neural networks for low-cost neurophysiological markers of Alzheimer's disease severity. - Wolfgang Fruehwirt; Adam D. Cobb; Martin Mairhofer; Leonard Weydemann; Heinrich Garn; Reinhold Schmidt; Thomas Benke; Peter Dal-Bianco; Gerhard Ransmayr; Markus Waser; Dieter Grossegger; Pengfei Zhang 001; et al. (CoRR, 2018)

Using hyperbolic large-margin classifiers for biological link prediction. - Asan Agibetov; Georg Dorffner; Matthias Samwald (SemDeep@IJCAI, 2019)

Investigating and Exploiting Image Resolution for Transfer Learning-based Skin Lesion Classification. - Amirreza Mahbod; Gerald Schaefer; Chunliang Wang; Rupert Ecker; Georg Dorffner; Isabella Ellinger (ICPR, 2020)

Transfer learning using a multi-scale and multi-network ensemble for skin lesion classification. - Amirreza Mahbod; Gerald Schaefer; Chunliang Wang; Georg Dorffner; Rupert Ecker; Isabella Ellinger (Comput. Methods Programs Biomed., 2020)

Deep contextualized embeddings for quantifying the informative content in biomedical text summarization. - Milad Moradi; Georg Dorffner; Matthias Samwald (Comput. Methods Programs Biomed., 2020)

A critical analysis of metrics used for measuring progress in artificial intelligence. - Kathrin Blagec; Georg Dorffner; Milad Moradi; Matthias Samwald (CoRR, 2020)

Improving Mask R-CNN for Nuclei Instance Segmentation in Hematoxylin & Eosin-Stained Histological Images. - Benjamin Bancher; Amirreza Mahbod; Isabella Ellinger; Rupert Ecker; Georg Dorffner (COMPAY@MICCAI, 2021)

Self-Attention Long-Term Dependency Modelling in Electroencephalography Sleep Stage Prediction. - Georg Brandmayr; Manfred Martin Hartmann; Franz Fürbass; Georg Dorffner (ICONIP (3), 2021)

CryoNuSeg: A dataset for nuclei instance segmentation of cryosectioned H&E-stained histological images. - Amirreza Mahbod; Gerald Schaefer; Benjamin Bancher; Christine Löw; Georg Dorffner; Rupert Ecker; Isabella Ellinger (Comput. Biol. Medicine, 2021)

A global analysis of metrics used for measuring performance in natural language processing. - Kathrin Blagec; Georg Dorffner; Milad Moradi; Simon Ott; Matthias Samwald (CoRR, 2022)

Relational local electroencephalography representations for sleep scoring. - Georg Brandmayr; Manfred Martin Hartmann; Franz Fürbass; Gerald Matz; Matthias Samwald; Tilmann Kluge; Georg Dorffner (Neural Networks, 2022)

NuInsSeg: A Fully Annotated Dataset for Nuclei Instance Segmentation in H&E-Stained Histological Images. - Amirreza Mahbod; Christine Polak; Katharina Feldmann; Rumsha Khan; Katharina Gelles; Georg Dorffner; Ramona Woitek; Sepideh Hatamikia; Isabella Ellinger (CoRR, 2023)

Improving Generalization Capability of Deep Learning-Based Nuclei Instance Segmentation by Non-deterministic Train Time and Deterministic Test Time Stain Normalization. - Amirreza Mahbod; Georg Dorffner; Isabella Ellinger; Ramona Woitek; Sepideh Hatamikia (CoRR, 2023)

Standardized low-resolution brain electromagnetic tomography does not improve EEG Alzheimer's disease assessment. - Wolfgang Fruehwirt; Martin Mairhofer; Andreas Hahn 001; Heinrich Garn; Markus Waser; Reinhold Schmidt; Thomas Benke; Peter Dal-Bianco; Gerhard Ransmayr; Dieter Grossegger; Stephen J. Roberts; Georg Dorffner (NeuroImage, 2025)