| 2018 | COMPSAC | WorkflowDSL: Scalable Workflow Execution with Provenance for Data Analysis Applications. | Tharidu Fernando, Nikita Gureev, Mihhail Matskin, Michael Zwick, Thomas Natschlger |
| 2018 | EDBT | Recommendation of Job Offers Using Random Forests and Support Vector Machines. | Jorge Martinez-Gil, Bernhard Freudenthaler, Thomas Natschlger |
| 2017 | ICLR | Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning. | Werner Zellinger, Thomas Grubinger, Edwin Lughofer, Thomas Natschlger, Susanne Saminger-Platz |
| 2017 | IIWAS | Automatic recommendation of prognosis measures for mechanical components based on massive text mining. | Jorge Martinez-Gil, Bernhard Freudenthaler, Thomas Natschlger |
| 2015 | IWANN | Domain Generalization Based on Transfer Component Analysis. | Thomas Grubinger, Adriana Birlutiu, Holger Schner, Thomas Natschlger, Tom Heskes |
| 2010 | ESEM | The usual suspects: a case study on delivered defects per developer. | Rudolf Ramler, Claus Klammer, Thomas Natschlger |
| 2009 | PROFES | Key Questions in Building Defect Prediction Models in Practice. | Rudolf Ramler, Klaus Wolfmaier, Erwin Stauder, Felix Kossak, Thomas Natschlger |
| 2007 | COMPSAC | Observing Distributions in Size Metrics: Experience from Analyzing Large Software Systems. | Rudolf Ramler, Klaus Wolfmaier, Thomas Natschlger |
| 1999 | ESANN | Fast analog computation in networks of spiking neurons using unreliable synapses. | Thomas Natschlger, Wolfgang Maass |