Inversive and Linear Congruential Pseudorandom Number Generators in Empirical Tests. - Hannes Leeb; Stefan Wegenkittl (ACM Trans. Model. Comput. Simul., 1997)

Linear and Inversive Pseudorandom Numbers for Parallel and Distributed Simulation. - Karl Entacher; Andreas Uhl; Stefan Wegenkittl (Workshop on Parallel and Distributed Simulation, 1998)

Linear Congruential Generators for Parallel Monte Carlo: the Leap-Frog Case. - Karl Entacher; Andreas Uhl; Stefan Wegenkittl (Monte Carlo Methods Appl., 1998)

Parallel Random Number Generation: Long-Range Correlations Among Multiple Processors. - Karl Entacher; Andreas Uhl; Stefan Wegenkittl (ACPC, 1999)

Monkeys, gambling, and return times: assessing pseudorandomness. - Stefan Wegenkittl (WSC, 1999)

Getting rid of correlations among pseudorandom numbers: discarding versus tempering. - Stefan Wegenkittl; Makoto Matsumoto (ACM Trans. Model. Comput. Simul., 1999)

Looking Beyond Selection Probabilities: Adaptation of the X2Measure for the Performance Analysis of Selection Methods in GAs. - Thomas Schell; Stefan Wegenkittl (Evol. Comput., 2001)

Entropy estimators and serial tests for ergodic chains. - Stefan Wegenkittl (IEEE Trans. Inf. Theory, 2001)

Sparse Serial Tests of Uniformity for Random Number Generators. - Pierre L'Ecuyer; Richard J. Simard; Stefan Wegenkittl (SIAM J. Sci. Comput., 2002)

Empirical evidence concerning AES. - Peter Hellekalek; Stefan Wegenkittl (ACM Trans. Model. Comput. Simul., 2003)

MAESTRO - multi agent stability prediction upon point mutations. - Josef Laimer; Heidi Hofer; Marko Fritz; Stefan Wegenkittl; Peter Lackner (BMC Bioinform., 2015)

Tastalyzer: Audiovisual Exploration of Urban and Rural Variations in Music Taste. - Christine Bauer 001; Markus Schedl; Vera Angerer; Stefan Wegenkittl (ACM Multimedia, 2019)

A Semi-discriminative Approach for Sub-sentence Level Topic Classification on a Small Dataset. - Cornelia Ferner; Stefan Wegenkittl (ECML/PKDD (2), 2019)

Pool detection from smart metering data with convolutional neural networks. - Cornelia Ferner; Günther Eibl; Andreas Unterweger; Sebastian Burkhart; Stefan Wegenkittl (Energy Inform., 2019)

Sequential IoT Data Augmentation Using Generative Adversarial Networks. - Maximilian Ernst Tschuchnig; Cornelia Ferner; Stefan Wegenkittl (ICASSP, 2020)

Automated Seeded Latent Dirichlet Allocation for Social Media Based Event Detection and Mapping. - Cornelia Ferner; Clemens Havas; Elisabeth Birnbacher; Stefan Wegenkittl; Bernd Resch (Inf., 2020)

Modeling Patterns in Map Use Contexts and Mobile Map Design Usability. - Mona Bartling; Clemens Havas; Stefan Wegenkittl; Tumasch Reichenbacher; Bernd Resch (ISPRS Int. J. Geo Inf., 2021)

Spatio-Temporal Machine Learning Analysis of Social Media Data and Refugee Movement Statistics. - Clemens Havas; Lorenz Wendlinger; Julian Stier; Sahib Julka; Veronika Krieger; Cornelia Ferner; Andreas Petutschnig; Michael Granitzer; Stefan Wegenkittl; Bernd Resch (ISPRS Int. J. Geo Inf., 2021)

Strategies for Developing a Supervisory Controller with Deep Reinforcement Learning in a Production Context. - Jonas Harb; Sarah Riedmann; Stefan Wegenkittl (CCTA, 2022)

An Architecture for Deploying Reinforcement Learning in Industrial Environments. - Georg Schäfer; Reuf Kozlica; Stefan Wegenkittl; Stefan Huber 001 (EUROCAST, 2022)

Benefits from Variational Regularization in Language Models. - Cornelia Ferner; Stefan Wegenkittl (Mach. Learn. Knowl. Extr., 2022)

Deep Q-Learning versus Proximal Policy Optimization: Performance Comparison in a Material Sorting Task. - Reuf Kozlica; Stefan Wegenkittl; Simon Hirländer (ISIE, 2023)

A Modular Test Bed for Reinforcement Learning Incorporation into Industrial Applications. - Reuf Kozlica; Georg Schäfer; Simon Hirländer; Stefan Wegenkittl (CoRR, 2023)