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2020 – today
- 2021
[c27]Andreas Schörgenhumer, Thomas Natschläger, Paul Grünbacher, Mario Kahlhofer
, Peter Chalupar, Hanspeter Mössenböck:
An Approach for Ranking Feature-based Clustering Methods and its Application in Multi-System Infrastructure Monitoring. SEAA 2021: 178-187- 2020
- [j16]Werner Zellinger, Thomas Grubinger, Michael Zwick, Edwin Lughofer, Holger Schöner, Thomas Natschläger, Susanne Saminger-Platz:
Multi-source transfer learning of time series in cyclical manufacturing. J. Intell. Manuf. 31(3): 777-787 (2020)
2010 – 2019
- 2019
- [j15]Werner Zellinger, Bernhard Alois Moser, Thomas Grubinger, Edwin Lughofer, Thomas Natschläger, Susanne Saminger-Platz:
Robust unsupervised domain adaptation for neural networks via moment alignment. Inf. Sci. 483: 174-191 (2019) - [c26]Georgios C. Chasparis, Mario Pichler, Thomas Natschläger:
A Demand-Response Framework in Balance Groups through Direct Battery-Storage Control. ECC 2019: 1392-1397 - 2018
- [j14]Jorge Martínez Gil, Bernhard Freudenthaler, Thomas Natschläger:
Automatic recommendation of prognosis measures for mechanical components based on massive text mining. Int. J. Web Inf. Syst. 14(4): 480-494 (2018) - [c25]Tharidu Fernando, Nikita Gureev, Mihhail Matskin, Michael Zwick, Thomas Natschläger:
WorkflowDSL: Scalable Workflow Execution with Provenance for Data Analysis Applications. COMPSAC (1) 2018: 774-779 - [c24]Jorge Martínez Gil, Bernhard Freudenthaler, Thomas Natschläger:
Recommendation of Job Offers Using Random Forests and Support Vector Machines. EDBT/ICDT Workshops 2018: 22-27 - [c23]Lisa Ehrlinger, Thomas Grubinger, Bence Varga, Mario Pichler, Thomas Natschläger, Jürgen Zeindl:
Treating Missing Data in Industrial Data Analytics. ICDIM 2018: 148-155 - 2017
- [j13]Thomas Grubinger, Adriana Birlutiu, Holger Schöner, Thomas Natschläger, Tom Heskes:
Multi-Domain Transfer Component Analysis for Domain Generalization. Neural Process. Lett. 46(3): 845-855 (2017) - [c22]Werner Zellinger, Thomas Grubinger, Edwin Lughofer, Thomas Natschläger, Susanne Saminger-Platz:
Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning. ICLR (Poster) 2017 - [c21]Jorge Martínez Gil, Bernhard Freudenthaler, Thomas Natschläger:
Automatic recommendation of prognosis measures for mechanical components based on massive text mining. iiWAS 2017: 32-39 - [i5]Werner Zellinger, Thomas Grubinger, Edwin Lughofer, Thomas Natschläger, Susanne Saminger-Platz:
Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning. CoRR abs/1702.08811 (2017) - [i4]Werner Zellinger, Bernhard Alois Moser, Thomas Grubinger, Edwin Lughofer, Thomas Natschläger, Susanne Saminger-Platz:
Robust Unsupervised Domain Adaptation for Neural Networks via Moment Alignment. CoRR abs/1711.06114 (2017) - 2016
- [c20]Thomas Grubinger, Georgios C. Chasparis, Thomas Natschläger:
Online transfer learning for climate control in residential buildings. ECC 2016: 1183-1188 - [i3]Georgios C. Chasparis, Thomas Natschläger:
Regression Models for Output Prediction of Thermal Dynamics in Buildings. CoRR abs/1608.03090 (2016) - [i2]Thomas Grubinger, Georgios C. Chasparis, Thomas Natschläger:
Generalized Online Transfer Learning for Climate Control in Residential Buildings. CoRR abs/1610.04042 (2016) - [i1]Georgios C. Chasparis, Thomas Natschläger:
Supervisory Output Prediction for Bilinear Systems by Reinforcement Learning. CoRR abs/1611.02052 (2016) - 2015
- [c19]Jorge Martínez Gil, Georgios C. Chasparis, Andreas Bögl, Christa Illibauer, Bernhard Freudenthaler, Thomas Natschläger:
Framework for Fast Prototyping of Energy-Saving Controllers. DEXA Workshops 2015: 68-72 - [c18]Thomas Grubinger, Adriana Birlutiu, Holger Schöner, Thomas Natschläger, Tom Heskes:
Domain Generalization Based on Transfer Component Analysis. IWANN (1) 2015: 325-334 - 2014
- [j12]Bernhard Alois Moser, Thomas Natschläger:
On Stability of Distance Measures for Event Sequences Induced by Level-Crossing Sampling. IEEE Trans. Signal Process. 62(8): 1987-1999 (2014) - [c17]Georgios C. Chasparis, Thomas Natschläger:
Supervisory system identification for bilinear systems with application to thermal dynamics in buildings. ISIC 2014: 832-837 - [c16]Jorge Martínez Gil, Georgios C. Chasparis, Bernhard Freudenthaler, Thomas Natschläger:
Realistic User Behavior Modeling for Energy Saving in Residential Buildings. DEXA Workshops 2014: 121-125 - [c15]Georgios C. Chasparis, Thomas Natschläger:
Nonlinear system identification of thermal dynamics in buildings. ECC 2014: 1649-1654 - 2013
- [c14]Jorge Martínez Gil, Bernhard Freudenthaler, Thomas Natschläger:
Modeling User Behavior through Electricity Consumption Patterns. DEXA Workshops 2013: 204-208 - [c13]Andreea-Hilda Kosorus, Mariya Zhariy, Thomas Natschläger, Bernhard Freudenthaler, Josef Küng:
On the Relevance of Graphical Causal Models for Failure Detection for Industrial Machinery. EUROCAST (1) 2013: 174-181 - 2011
- [c12]Rudolf Ramler, Thomas Natschläger:
Applying Heuristic Approaches for Predicting Defect-Prone Software Components. EUROCAST (1) 2011: 384-391 - 2010
- [c11]Rudolf Ramler, Claus Klammer, Thomas Natschläger:
The usual suspects: a case study on delivered defects per developer. ESEM 2010
2000 – 2009
- 2009
- [j11]Dejan Pecevski, Thomas Natschläger, Klaus Schuch:
PCSIM: a parallel simulation environment for neural circuits fully integrated with Python. Frontiers Neuroinformatics 3: 11 (2009) - [c10]Rudolf Ramler, Stefan Larndorfer, Thomas Natschläger:
What Software Repositories Should Be Mined for Defect Predictors?. EUROMICRO-SEAA 2009: 181-187 - [c9]Rudolf Ramler, Klaus Wolfmaier, Erwin Stauder, Felix Kossak, Thomas Natschläger:
Key Questions in Building Defect Prediction Models in Practice. PROFES 2009: 14-27 - 2007
- [j10]Romain Brette, Michelle Rudolph, Ted Carnevale, Michael L. Hines, David Beeman, James M. Bower, Markus Diesmann, Abigail Morrison, Philip H. Goodman, Frederick C. Harris Jr., Milind Zirpe, Thomas Natschläger, Dejan Pecevski, Bard Ermentrout, Mikael Djurfeldt, Anders Lansner, Olivier Rochel, Thierry Viéville, Eilif Mueller, Andrew P. Davison, Sami El Boustani, Alain Destexhe:
Simulation of networks of spiking neurons: A review of tools and strategies. J. Comput. Neurosci. 23(3): 349-398 (2007) - [c8]Rudolf Ramler, Klaus Wolfmaier, Thomas Natschläger:
Observing Distributions in Size Metrics: Experience from Analyzing Large Software Systems. COMPSAC (2) 2007: 299-304 - 2005
- [j9]Thomas Natschläger, Wolfgang Maass:
Dynamics of information and emergent computation in generic neural microcircuit models. Neural Networks 18(10): 1301-1308 (2005) - 2004
- [j8]Nils Bertschinger, Thomas Natschläger:
Real-Time Computation at the Edge of Chaos in Recurrent Neural Networks. Neural Comput. 16(7): 1413-1436 (2004) - [c7]Thomas Natschläger, Felix Kossak, Mario Drobics:
Extracting knowledge and computable models from data - needs, expectations, and experience. FUZZ-IEEE 2004: 493-498 - [c6]Nils Bertschinger, Thomas Natschläger, Robert Legenstein:
At the Edge of Chaos: Real-time Computations and Self-Organized Criticality in Recurrent Neural Networks. NIPS 2004: 145-152 - 2003
- [c5]Thomas Natschläger, Wolfgang Maass:
Information Dynamics and Emergent Computation in Recurrent Circuits of Spiking Neurons. NIPS 2003: 1255-1262 - 2002
- [j7]Wolfgang Maass, Thomas Natschläger, Henry Markram:
Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations. Neural Comput. 14(11): 2531-2560 (2002) - [j6]Thomas Natschläger, Wolfgang Maass:
Spiking neurons and the induction of finite state machines. Theor. Comput. Sci. 287(1): 251-265 (2002) - [c4]Wolfgang Maass, Thomas Natschläger, Henry Markram:
A Model for Real-Time Computation in Generic Neural Microcircuits. NIPS 2002: 213-220 - 2001
- [j5]Thomas Natschläger, Wolfgang Maass:
Computing the Optimally Fitted Spike Train for a Synapse. Neural Comput. 13(11): 2477-2494 (2001) - 2000
- [j4]Wolfgang Maass, Thomas Natschläger:
A Model for Fast Analog Computation Based on Unreliable Synapses. Neural Comput. 12(7): 1679-1704 (2000) - [c3]Thomas Natschläger, Wolfgang Maass:
Finding the Key to a Synapse. NIPS 2000: 138-144 - [c2]Thomas Natschläger, Wolfgang Maass, Eduardo D. Sontag, Anthony M. Zador:
Processing of Time Series by Neural Circuits with Biologically Realistic Synaptic Dynamics. NIPS 2000: 145-151
1990 – 1999
- 1999
- [j3]Thomas Natschläger, Berthold Ruf:
Pattern analysis with spiking neurons using delay coding. Neurocomputing 26-27: 463-469 (1999) - [c1]Thomas Natschläger, Wolfgang Maass:
Fast analog computation in networks of spiking neurons using unreliable synapses. ESANN 1999: 417-422 - 1996
- [j2]Thomas Natschläger, Michael Schmitt:
Exact VC-Dimension of Boolean Monomials. Inf. Process. Lett. 59(1): 19-20 (1996) - [j1]Thomas Natschläger, Michael Schmitt:
Erratum: Exact VC-Dimension of Boolean Monomials. Inf. Process. Lett. 60(2): 107 (1996)
Coauthor Index
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