Thomas Natschläger

According to our database1, Thomas Natschläger authored at least 45 papers between 1996 and 2021.

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Bibliography

2021
An Approach for Ranking Feature-based Clustering Methods and its Application in Multi-System Infrastructure Monitoring.
Proceedings of the 47th Euromicro Conference on Software Engineering and Advanced Applications, 2021

2020
Multi-source transfer learning of time series in cyclical manufacturing.
J. Intell. Manuf., 2020

2019
Robust unsupervised domain adaptation for neural networks via moment alignment.
Inf. Sci., 2019

A Demand-Response Framework in Balance Groups through Direct Battery-Storage Control.
Proceedings of the 17th European Control Conference, 2019

2018
Automatic recommendation of prognosis measures for mechanical components based on massive text mining.
Int. J. Web Inf. Syst., 2018

Treating Missing Data in Industrial Data Analytics.
Proceedings of the 2018 Thirteenth International Conference on Digital Information Management (ICDIM), 2018

Recommendation of Job Offers Using Random Forests and Support Vector Machines.
Proceedings of the Workshops of the EDBT/ICDT 2018 Joint Conference (EDBT/ICDT 2018), 2018

WorkflowDSL: Scalable Workflow Execution with Provenance for Data Analysis Applications.
Proceedings of the 2018 IEEE 42nd Annual Computer Software and Applications Conference, 2018

2017
Multi-Domain Transfer Component Analysis for Domain Generalization.
Neural Process. Lett., 2017

Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
Generalized Online Transfer Learning for Climate Control in Residential Buildings.
CoRR, 2016

Supervisory Output Prediction for Bilinear Systems by Reinforcement Learning.
CoRR, 2016

Regression Models for Output Prediction of Thermal Dynamics in Buildings.
CoRR, 2016

Online transfer learning for climate control in residential buildings.
Proceedings of the 15th European Control Conference, 2016

2015
Domain Generalization Based on Transfer Component Analysis.
Proceedings of the Advances in Computational Intelligence, 2015

Framework for Fast Prototyping of Energy-Saving Controllers.
Proceedings of the 26th International Workshop on Database and Expert Systems Applications, 2015

2014
On Stability of Distance Measures for Event Sequences Induced by Level-Crossing Sampling.
IEEE Trans. Signal Process., 2014

Nonlinear system identification of thermal dynamics in buildings.
Proceedings of the 13th European Control Conference, 2014

Realistic User Behavior Modeling for Energy Saving in Residential Buildings.
Proceedings of the 25th International Workshop on Database and Expert Systems Applications, 2014

Supervisory system identification for bilinear systems with application to thermal dynamics in buildings.
Proceedings of the 2014 IEEE International Symposium on Intelligent Control, 2014

2013
On the Relevance of Graphical Causal Models for Failure Detection for Industrial Machinery.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013

Modeling User Behavior through Electricity Consumption Patterns.
Proceedings of the 24th International Workshop on Database and Expert Systems Applications, 2013

2011
Applying Heuristic Approaches for Predicting Defect-Prone Software Components.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2011, 2011

2010
The usual suspects: a case study on delivered defects per developer.
Proceedings of the International Symposium on Empirical Software Engineering and Measurement, 2010

2009
PCSIM: a parallel simulation environment for neural circuits fully integrated with Python.
Frontiers Neuroinformatics, 2009

Key Questions in Building Defect Prediction Models in Practice.
Proceedings of the Product-Focused Software Process Improvement, 2009

What Software Repositories Should Be Mined for Defect Predictors?.
Proceedings of the 35th Euromicro Conference on Software Engineering and Advanced Applications, 2009

2007
Simulation of networks of spiking neurons: A review of tools and strategies.
J. Comput. Neurosci., 2007

Observing Distributions in Size Metrics: Experience from Analyzing Large Software Systems.
Proceedings of the 31st Annual International Computer Software and Applications Conference, 2007

2005
Dynamics of information and emergent computation in generic neural microcircuit models.
Neural Networks, 2005

2004
Real-Time Computation at the Edge of Chaos in Recurrent Neural Networks.
Neural Comput., 2004

At the Edge of Chaos: Real-time Computations and Self-Organized Criticality in Recurrent Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Extracting knowledge and computable models from data - needs, expectations, and experience.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

2003
Information Dynamics and Emergent Computation in Recurrent Circuits of Spiking Neurons.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002
Spiking neurons and the induction of finite state machines.
Theor. Comput. Sci., 2002

Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations.
Neural Comput., 2002

A Model for Real-Time Computation in Generic Neural Microcircuits.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001
Computing the Optimally Fitted Spike Train for a Synapse.
Neural Comput., 2001

2000
A Model for Fast Analog Computation Based on Unreliable Synapses.
Neural Comput., 2000

Processing of Time Series by Neural Circuits with Biologically Realistic Synaptic Dynamics.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Finding the Key to a Synapse.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999
Pattern analysis with spiking neurons using delay coding.
Neurocomputing, 1999

Fast analog computation in networks of spiking neurons using unreliable synapses.
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

1996
Erratum: Exact VC-Dimension of Boolean Monomials.
Inf. Process. Lett., 1996

Exact VC-Dimension of Boolean Monomials.
Inf. Process. Lett., 1996


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