Thomas Trappenberg

Orcid: 0000-0002-6144-8963

According to our database1, Thomas Trappenberg authored at least 69 papers between 1994 and 2022.

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

Timeline

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Bibliography

2022
Logical Activation Functions: Logit-space equivalents of Probabilistic Boolean Operators.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Label-free Monitoring of Self-Supervised Learning Progress.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2022

2021
LogAvgExp Provides a Principled and Performant Global Pooling Operator.
CoRR, 2021

Logical Activation Functions: Logit-space equivalents of Boolean Operators.
CoRR, 2021

2020
Multiplicative Decomposition of Heterogeneity in Mixtures of Continuous Distributions.
Entropy, 2020

Representational Rényi Heterogeneity.
Entropy, 2020

Learning dynamic weights for an ensemble of deep models applied to medical imaging classification.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

On Out-of-Distribution Detection Algorithms with Deep Neural Skin Cancer Classifiers.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Topographic representation adds robustness to supervised learning.
J. Intell. Fuzzy Syst., 2019

A Novel Model for Arbitration Between Planning and Habitual Control Systems.
Frontiers Neurorobotics, 2019

Skin cancer detection based on deep learning and entropy to detect outlier samples.
CoRR, 2019

Model-free prostate cancer segmentation from dynamic contrast-enhanced MRI with recurrent convolutional networks: A feasibility study.
Comput. Medical Imaging Graph., 2019

Learning Adaptive Weight Masking for Adversarial Examples.
Proceedings of the International Joint Conference on Neural Networks, 2019

A Deep Learning Based Approach to Skin Lesion Border Extraction With a Novel Edge Detector in Dermoscopy Images.
Proceedings of the International Joint Conference on Neural Networks, 2019

Using a Deep CNN for Automatic Classification of Sleep Spindles: A Preliminary Study.
Proceedings of the Advances in Artificial Intelligence, 2019

Self-training for Cell Segmentation and Counting.
Proceedings of the Advances in Artificial Intelligence, 2019

Mitigating Overfitting Using Regularization to Defend Networks Against Adversarial Examples.
Proceedings of the Advances in Artificial Intelligence, 2019

Supervised Versus Unsupervised Deep Learning Based Methods for Skin Lesion Segmentation in Dermoscopy Images.
Proceedings of the Advances in Artificial Intelligence, 2019

2018
Words Are Not Temporal Sequences of Characters.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Mixing Habits and Planning for Multi-Step Target Reaching Using Arbitrated Predictive Actor-Critic.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
In vivo classification of inflammation in blood vessels with convolutional neural networks.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Impact of biased mislabeling on learning with deep networks.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
A Neural Field Approach to Obstacle Avoidance.
Proceedings of the KI 2016: Advances in Artificial Intelligence, 2016

2015
Learning-Regulated Context Relevant Topographical Map.
IEEE Trans. Neural Networks Learn. Syst., 2015

Modeling human target reaching with an adaptive observer implemented with dynamic neural fields.
Neural Networks, 2015

A biological mechanism for Bayesian feature selection: Weight decay and raising the LASSO.
Neural Networks, 2015

Classifier with Hierarchical Topographical Maps as Internal Representation.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Detection of event-related potentials in individual subjects using support vector machines.
Brain Informatics, 2015

2014
A Brief Introduction to Probabilistic Machine Learning and Its Relation to Neuroscience.
Proceedings of the Growing Adaptive Machines, 2014

An Architecture for Distinguishing between Predictors and Inhibitors in Reinforcement Learning.
Proceedings of the 2nd International Conference on Learning Representations, 2014

Simulating oculomotor inhibition of return with a two-dimensional dynamic neural field model of the superior colliculus.
Aust. J. Intell. Inf. Process. Syst., 2014

Visualizing Hierarchical Representation in a Multilayered Restricted RBF Network.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

2013
Improved Path Integration Using a Modified Weight Combination Method.
Cogn. Comput., 2013

Bubbles in the robot.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Classificability-regulated self-organizing map using restricted RBF.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Biologically plausible feature selection through relative correlation.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
Spatial Interactions in the Superior Colliculus Predict Saccade Behavior in a Neural Field Model.
J. Cogn. Neurosci., 2012

Internal representation of sensory information for training autonomous robot.
Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012

2011
A Characterization of the Combined Effects of Overlap and Imbalance on the SVM Classifier
CoRR, 2011

Internal topographical structure in training autonomous robot.
Proceedings of the IEEE International Conference on Systems, 2011

Comparison of Learned versus Engineered Features for Classification of Mine Like Objects from Raw Sonar Images.
Proceedings of the Advances in Artificial Intelligence, 2011

Characterizing a Brain-Based Value-Function Approximator.
Proceedings of the Advances in Artificial Intelligence, 2011

2010
Selective attention improves self-organization of cortical maps with multiple inputs.
Proceedings of the International Joint Conference on Neural Networks, 2010

Overlap versus Imbalance.
Proceedings of the Advances in Artificial Intelligence, 2010

Detection of Mine-Like Objects Using Restricted Boltzmann Machines.
Proceedings of the Advances in Artificial Intelligence, 2010

2009
Top-Down Control of Learning in Biological Self-Organizing Maps.
Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009

Learning Intialized by Topologically Correct Representation.
Proceedings of the IEEE International Conference on Systems, 2009

Fundamentals of Computational Neuroscience (2. ed.).
Oxford University Press, ISBN: 978-0-19-956841-3, 2009

2008
Modeling the integration of expectations in visual search with centre-surround neural fields.
Neural Networks, 2008

2007
Computational consequences of experimentally derived spike-time and weight dependent plasticity rules.
Biol. Cybern., 2007

The Trouble with Weight-Dependent STDP.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
Input Variable Selection: Mutual Information and Linear Mixing Measures.
IEEE Trans. Knowl. Data Eng., 2006

Rapid learning and robust recall of long sequences in modular associator networks.
Neurocomputing, 2006

A Heuristic for Free Parameter Optimization with Support Vector Machines.
Proceedings of the International Joint Conference on Neural Networks, 2006

2005
Modelling divided visual attention with a winner-take-all network.
Neural Networks, 2005

Multi-packet regions in stabilized continuous attractor networks.
Neurocomputing, 2005

Coverage-performance estimation for classification with ambiguous data.
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

A multi-modular associator network for simple temporal sequence learning and generation.
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

2004
Self-organising continuous attractor networks with multiple activity packets, and the representation of space.
Neural Networks, 2004

2003
Self-organizing continuous attractor networks and motor function.
Neural Networks, 2003

2001
Selecting inputs for modeling using normalized higher order statistics and independent component analysis.
IEEE Trans. Neural Networks, 2001

Effective Size of Receptive Fields of Inferior Temporal Visual Cortex Neurons in Natural Scenes.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000
A Classification Scheme for Applications with Ambiguous Data.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

1999
Modeling time-varying processes by unfolding the time domain.
Proceedings of the International Joint Conference Neural Networks, 1999

Input variable selection using independent component analysis.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
Dynamic Cooperation and Competition in a Network of Spiking Neurons.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1997
Neural field model of oculomotor preparation and disengagement.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

Non-monotone network dynamics; preliminary results.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1994
High Speed Monte Carlo Simulations on Vector Parallel Computers.
Parallel Algorithms Appl., 1994


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