Thomas Martinetz

Orcid: 0000-0002-4539-4475

Affiliations:
  • University of Lübeck, Germany


According to our database1, Thomas Martinetz authored at least 131 papers between 1989 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2023
Convolutional Neural Networks Do Work with Pre-Defined Filters.
Proceedings of the International Joint Conference on Neural Networks, 2023

Large Neural Networks Learning from Scratch with Very Few Data and without Explicit Regularization.
Proceedings of the 15th International Conference on Machine Learning and Computing, 2023

2022
A walk in the black-box: 3D visualization of large neural networks in virtual reality.
Neural Comput. Appl., 2022

Highly over-parameterized classifiers generalize since bad solutions are rare.
CoRR, 2022

Large Neural Networks Learning from Scratch with Very Few Data and without Regularization.
CoRR, 2022

2021
Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning.
Sensors, 2021

COVID-Nets: deep CNN architectures for detecting COVID-19 using chest CT scans.
PeerJ Comput. Sci., 2021

Multivariate and Online Prediction of Closing Price Using Kernel Adaptive Filtering.
Comput. Intell. Neurosci., 2021

Towards Explainable Ear Recognition Systems Using Deep Residual Networks.
IEEE Access, 2021

An AI-based Framework for Diagnostic Quality Assessment of Ankle Radiographs.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

2020
Feature Products Yield Efficient Networks.
CoRR, 2020

Deep Convolutional Neural Networks for Unconstrained Ear Recognition.
IEEE Access, 2020

Solving Raven's Progressive Matrices with Multi-Layer Relation Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Log-Nets: Logarithmic Feature-Product Layers Yield More Compact Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019
Handcrafted versus CNN Features for Ear Recognition.
Symmetry, 2019

Ensembles of Deep Learning Models and Transfer Learning for Ear Recognition.
Sensors, 2019

Multi-layer relation networks for relational reasoning.
Proceedings of the 2nd International Conference on Applications of Intelligent Systems, 2019

2018
Multi-layer Relation Networks.
CoRR, 2018

2017
Perception space analysis: From color vision to odor perception.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Recursive autoconvolution for unsupervised learning of convolutional neural networks.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Sensing Forest for Pattern Recognition.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2017

2016
Learning Efficient Data Representations With Orthogonal Sparse Coding.
IEEE Trans. Computational Imaging, 2016

A Thalamocortical Neural Mass Model of the EEG during NREM Sleep and Its Response to Auditory Stimulation.
PLoS Comput. Biol., 2016

Modeling the effect of sleep regulation on a neural mass model.
J. Comput. Neurosci., 2016

Autoconvolution for Unsupervised Feature Learning.
CoRR, 2016

Hierarchical Manifold Sensing with Foveation and Adaptive Partitioning of the Dataset.
Proceedings of the Human Vision and Electronic Imaging, 2016

2015
Maximum distance minimization for feature weighting.
Pattern Recognit. Lett., 2015

Self-organizing maps for hand and full body tracking.
Neurocomputing, 2015

Learning orthogonal sparse representations by using geodesic flow optimization.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Deep convolutional neural networks as generic feature extractors.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Foveated Manifold Sensing for object recognition.
Proceedings of the IEEE International Black Sea Conference on Communications and Networking, 2015

2014
Characterization of K-Complexes and Slow Wave Activity in a Neural Mass Model.
PLoS Comput. Biol., 2014

Committees of deep feedforward networks trained with few data.
CoRR, 2014

Key-point Detection with Multi-layer Center-surround Inhibition.
Proceedings of the VISAPP 2014, 2014

Global Metric Learning by Gradient Descent.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

An adaptive hierarchical sensing scheme for sparse signals.
Proceedings of the Human Vision and Electronic Imaging XIX, 2014

Visual manifold sensing.
Proceedings of the Human Vision and Electronic Imaging XIX, 2014

Learning and modeling big data.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

2013
The Support Feature Machine: Classification with the Least Number of Features and Application to Neuroimaging Data.
Neural Comput., 2013

Feature Weighting by Maximum Distance Minimization.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

Optimizing depth-of-field based on a range map and a wavelet transform.
Proceedings of the Multimedia Content and Mobile Devices 2013, 2013

Real-time skeleton tracking for embedded systems.
Proceedings of the Multimedia Content and Mobile Devices 2013, 2013

Gesture Interfaces with Depth Sensors.
Proceedings of the Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications, 2013

2012
Intrinsic Dimensionality Predicts the Saliency of Natural Dynamic Scenes.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Sparse Coding and Selected Applications.
Künstliche Intell., 2012

On the boundedness of an Iteration involving Points on the Hypersphere.
Int. J. Comput. Geom. Appl., 2012

Hand Tracking with an Extended Self-Organizing Map.
Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012

Sparse Coding Neural Gas Applied to Image Recognition.
Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012

A Multivariate Approach to Estimate Complexity of FMRI Time Series.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Application of non-linear transform coding to image processing.
Proceedings of the Human Vision and Electronic Imaging XVII, 2012

How to make a small phone camera shoot like a big DSLR: creating and fusing multi-modal exposure series.
Proceedings of the Human Vision and Electronic Imaging XVII, 2012

2011
Robust and Fast Learning of Sparse Codes With Stochastic Gradient Descent.
IEEE J. Sel. Top. Signal Process., 2011

Advances in artificial neural networks, machine learning, and computational intelligence.
Neurocomputing, 2011

Soft-competitive learning of sparse codes and its application to image reconstruction.
Neurocomputing, 2011

Eye Movements Show Optimal Average Anticipation with Natural Dynamic Scenes.
Cogn. Comput., 2011

PhyloMap: an algorithm for visualizing relationships of large sequence data sets and its application to the influenza A virus genome.
BMC Bioinform., 2011

BLProt: Prediction of bioluminescent proteins based on Support Vector Machine and ReliefF feature selection.
BMC Bioinform., 2011

On the Problem of Finding the Least Number of Features by L1-Norm Minimisation.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010
Shading constraint improves accuracy of time-of-flight measurements.
Comput. Vis. Image Underst., 2010

Statistical Fourier Descriptors for Defect Image Classification.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

A New Approach to Classification with the Least Number of Features.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

A Learned Saliency Predictor for Dynamic Natural Scenes.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

The Support Feature Machine for Classifying with the Least Number of Features.
Proceedings of the Artificial Neural Networks, 2010

Learning sparse codes for image reconstruction.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

Bag of Pursuits and Neural Gas for Improved Sparse Coding.
Proceedings of the 19th International Conference on Computational Statistics, 2010

2009
SoftDoubleMaxMinOver: Perceptron-Like Training of Support Vector Machines.
IEEE Trans. Neural Networks, 2009

Sparse Coding Neural Gas: Learning of overcomplete data representations.
Neurocomputing, 2009

Adaptive Dynamics of Regulatory Networks: Size Matters.
EURASIP J. Bioinform. Syst. Biol., 2009

Approaching the Time Dependent Cocktail Party Problem with Online Sparse Coding Neural Gas.
Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009

Optical Inspection of Welding Seams.
Proceedings of the Computer Vision, Imaging and Computer Graphics. Theory and Applications, 2009

Welding Inspection using Novel Specularity Features and a One-class SVM.
Proceedings of the VISAPP 2009 - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications, Lisboa, Portugal, February 5-8, 2009, 2009

Multimodal Sparse Features for Object Detection.
Proceedings of the Artificial Neural Networks, 2009

Deictic Gestures with a Time-of-Flight Camera.
Proceedings of the Gesture in Embodied Communication and Human-Computer Interaction, 2009

Self-Organizing Maps for Pose Estimation with a Time-of-Flight Camera.
Proceedings of the Dynamic 3D Imaging, DAGM 2009 Workshop, 2009

Face Detection Using a Time-of-Flight Camera.
Proceedings of the Dynamic 3D Imaging, DAGM 2009 Workshop, 2009

2008
Simple Method for High-Performance Digit Recognition Based on Sparse Coding.
IEEE Trans. Neural Networks, 2008

A facial feature tracker for human-computer interaction based on 3D Time-Of-Flight cameras.
Int. J. Intell. Syst. Technol. Appl., 2008

Uncertainty propagation for quality assurance in Reinforcement Learning.
Proceedings of the International Joint Conference on Neural Networks, 2008

Fast model selection for MaxMinOver-based training of support vector machines.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Sparse Coding Neural Gas for the Separation of Noisy Overcomplete Sources.
Proceedings of the Artificial Neural Networks, 2008

Reliability of Cross-Validation for SVMs in High-Dimensional, Low Sample Size Scenarios.
Proceedings of the Artificial Neural Networks, 2008

A software framework for simulating eye trackers.
Proceedings of the Eye Tracking Research & Application Symposium, 2008

Learning Data Representations with Sparse Coding Neural Gas.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

Simple Incremental One-Class Support Vector Classification.
Proceedings of the Pattern Recognition, 2008

Scale-invariant range features for time-of-flight camera applications.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

2007
Improving Optimality of Neural Rewards Regression for Data-Efficient Batch Near-Optimal Policy Identification.
Proceedings of the Artificial Neural Networks, 2007

Learning optimal features for visual pattern recognition.
Proceedings of the Human Vision and Electronic Imaging XII, San Jose, CA, USA, January 29, 2007

Explicit Kernel Rewards Regression for data-efficient near-optimal policy identification.
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

Neural Rewards Regression for near-optimal policy identification in Markovian and partial observable environments.
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

The Intrinsic Recurrent Support Vector Machine.
Proceedings of the 15th European Symposium on Artificial Neural Networks, 2007

2006
Eye movement predictions on natural videos.
Neurocomputing, 2006

Fast and Easy Computation of Approximate Smallest Enclosing Balls.
Proceedings of the 19th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2006), 2006

A Single-Camera Remote Eye Tracker.
Proceedings of the Perception and Interactive Technologies, 2006

Gaze-Contingent Spatio-temporal Filtering in a Head-Mounted Display.
Proceedings of the Perception and Interactive Technologies, 2006

Guiding Eye Movements for Better Communication and Augmented Vision.
Proceedings of the Perception and Interactive Technologies, 2006

MaxMinOver Regression: A Simple Incremental Approach for Support Vector Function Approximation.
Proceedings of the Artificial Neural Networks, 2006

Guiding the mind's eye: improving communication and vision by external control of the scanpath.
Proceedings of the Human Vision and Electronic Imaging XI, 2006

Gaze-contingent temporal filtering of video.
Proceedings of the Eye Tracking Research & Application Symposium, 2006

OnlineDoubleMaxMinOver: a simple approximate time and information efficient online Support Vector Classification method.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

Kernel Rewards Regression: An Information Efficient Batch Policy Iteration Approach.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2006

2005
Unsupervised spike sorting with ICA and its evaluation using GENESIS simulations.
Neurocomputing, 2005

Medical image compression using topology-preserving neural networks.
Eng. Appl. Artif. Intell., 2005

SoftDoubleMinOver: A Simple Procedure for Maximum Margin Classification.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Visibility of temporal blur on a gaze-contingent display.
Proceedings of the 2nd Symposium on Applied Perception in Graphics and Visualization, 2005

2004
Binding Matrix: a Novel Approach for Binding Site Recognition.
J. Bioinform. Comput. Biol., 2004

On the dimensions of the olfactory perception space.
Neurocomputing, 2004

Saliency Extraction for Gaze-Contingent Displays.
Proceedings of the 34. Jahrestagung der Gesellschaft für Informatik, 2004

MinOver Revisited for Incremental Support-Vector-Classification.
Proceedings of the Pattern Recognition, 26th DAGM Symposium, August 30, 2004

2003
Dynamic predictions of tracked gaze.
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

Individual predictions of eye-movements with dynamic scenes.
Proceedings of the Human Vision and Electronic Imaging VIII, 2003

Model-Free Functional MRI Analysis Using Topographic Independent Component Analysis.
Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

One-Class Classification with Subgaussians.
Proceedings of the Pattern Recognition, 2003

2001
A Method for Incorporation of New Evidence to Improve World State Estimation.
Proceedings of the RoboCup 2001: Robot Soccer World Cup V, 2001

On the Effects of Transcription Factor Properties on the Information Content of Binding Sites.
Proceedings of the Computer science and biology: Proceedings of the German Conference on Bioinformatics, 2001

An Information-Theoretic Approach for the Quantification of Relevance.
Proceedings of the Advances in Artificial Life, 6th European Conference, 2001

2000
Team Description for Lucky Lübeck - Evidence-Based World State Estimation.
Proceedings of the RoboCup 2000: Robot Soccer World Cup IV, 2000

1999
Genetic Algorithms in Time-Dependent Environments
CoRR, 1999

Molecular Evolution in Time-Dependent Environments.
Proceedings of the Advances in Artificial Life, 5th European Conference, 1999

1997
Topology preservation in self-organizing feature maps: exact definition and measurement.
IEEE Trans. Neural Networks, 1997

1995
Neural Network Control for Steel Rolling Mills.
Proceedings of the Neural Networks: Artificial Intelligence and Industrial Applications, 1995

1994
Topology representing networks.
Neural Networks, 1994

Topology Preservation in Self-Organizing Feature Maps: General Definition and Efficient Measurement.
Proceedings of the Fuzzy Logik, 1994

1993
'Neural-gas' network for vector quantization and its application to time-series prediction.
IEEE Trans. Neural Networks, 1993

A neural network with Hebbian-like adaptation rules learning visuomotor coordination of a PUMA robot.
Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

1992
Selbstorganisierende neuronale Netzwerkmodelle zur Bewegungssteuerung.
PhD thesis, 1992

Neural computation and self-organizing maps - an introduction.
Computation and neural systems series, Addison-Wesley, ISBN: 978-0-201-55443-4, 1992

1991
Vector Quantization Algorithm for Time Series Prediction and Visuo-Motor Control of Robots.
Proceedings of the Verteilte Künstliche Intelligenz und kooperatives Arbeiten, 1991

Neuronale Netze - eine Einführung in die Neuroinformatik selbstorganisierter Netzwerke (2. Aufl.).
Reihe Künstliche Intelligenz, Addison-Wesley, ISBN: 978-3-89319-131-4, 1991

1990
Three-dimensional neural net for learning visuomotor coordination of a robot arm.
IEEE Trans. Neural Networks, 1990

Hierarchical neural net for learning control of a robot's arm and gripper.
Proceedings of the IJCNN 1990, 1990

1989
Topology-conserving maps for learning visuo-motor-coordination.
Neural Networks, 1989


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