Our mission is to leverage the methods of machine learning and game theory for addressing relevant applications both in recreational games and in abstract decision games played in the real world.
Kaggle is a platform for data prediction competitions. Companies, organizations and researchers post their data and have it scrutinized by the world's best statisticians.
Kaggle is a platform for data prediction competitions. Companies, organizations and researchers post their data and have it scrutinized by the world's best statisticians.
M. Züfle, and S. Kounev. Proceedings of the 15th Conference on Computer Science and Information Systems (FedCSIS): Data Mining Competition of the International Symposium on Advanced Artificial Intelligence in Applications, (September 2020)
M. Züfle, and S. Kounev. Proceedings of the 15th Conference on Computer Science and Information Systems (FedCSIS): Data Mining Competition of the International Symposium on Advanced Artificial Intelligence in Applications, (September 2020)
M. Züfle, and S. Kounev. Proceedings of the 15th Conference on Computer Science and Information Systems (FedCSIS): Data Mining Competition of the International Symposium on Advanced Artificial Intelligence in Applications, (September 2020)
Q. Noorshams, A. Rentschler, S. Kounev, and R. Reussner. Proceedings of the ACM/SPEC International Conference on Performance Engineering, page 339--342. New York, NY, USA, ACM, (2013)
Q. Noorshams, A. Rentschler, S. Kounev, and R. Reussner. Proceedings of the ACM/SPEC International Conference on Performance Engineering, page 339--342. New York, NY, USA, ACM, (2013)
P. Rygielski, S. Zschaler, and S. Kounev. Proceedings of the 4th ACM/SPEC International Conference on Performance Engineering (ICPE 2013), page 327--330. New York, NY, USA, ACM, (April 2013)
P. Rygielski, S. Zschaler, and S. Kounev. Proceedings of the 4th ACM/SPEC International Conference on Performance Engineering (ICPE 2013), page 327--330. New York, NY, USA, ACM, (April 2013)
S. Kounev, K. Sachs, J. Bacon, and A. Buchmann. Proceedings of the 11th IEEE International Symposium on Object Oriented Real-Time Distributed Computing (ISORC 2008), Orlando, Florida, USA, May 5-7, 2008, page 13--22. Washington, DC, USA, IEEE Computer Society, (2008)Acceptance Rate (Full Paper): 30\%, <b>Best-Paper-Award-Nomination</b>.
S. Kounev, K. Sachs, J. Bacon, and A. Buchmann. Proceedings of the 11th IEEE International Symposium on Object Oriented Real-Time Distributed Computing (ISORC 2008), Orlando, Florida, USA, May 5-7, 2008, page 13--22. Washington, DC, USA, IEEE Computer Society, (2008)Acceptance Rate (Full Paper): 30\%, <b>Best-Paper-Award-Nomination</b>.
C. Voigtmann, C. Schütte, A. Wacker, and K. David. 10th IEEE Workshop on Context Modeling and Reasoning, CoMoRea 2013, in conjunction with IEEE Pervasive Computing and Communication, PerCom 2013, San Diego, California, USA,, (March 2013)