Paraskevas Yiapanis

According to our database, Paraskevas Yiapanis authored at least 14 papers between 2008 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

A Clustering-Based Patient Grouper for Burn Care.

Chimdimma Noelyn Onah, Richard Allmendinger, Julia Handl, Paraskevas Yiapanis, Kenneth W. Dunn

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2019, 2019

Scaling techniques for parallel ant colony optimization on large problem instances.

Joshua Peake, Martyn Amos, Paraskevas Yiapanis, Huw Lloyd

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2018

Vectorized candidate set selection for parallel ant colony optimization.

Joshua Peake, Martyn Amos, Paraskevas Yiapanis, Huw Lloyd

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

2017

Leveraging data mining techniques to understand drivers of obesity.

Reza Salehnejad, Richard Allmendinger, Yu-Wang Chen, Manhal Ali, Azar Shahgholian, Paraskevas Yiapanis, Mohaimen Mansur

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2017

2016

Compiler-Driven Software Speculation for Thread-Level Parallelism.

Paraskevas Yiapanis, Gavin Brown, Mikel Luján

ACM Trans. Program. Lang. Syst., 2016

Towards Automatic Memory Tuning for In-Memory Big Data Analytics in Clusters.

Aris-Kyriakos Koliopoulos, Paraskevas Yiapanis, Firat Tekiner, Goran Nenadic, John A. Keane

Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016

2015

A Parallel Distributed Weka Framework for Big Data Mining Using Spark.

Aris-Kyriakos Koliopoulos, Paraskevas Yiapanis, Firat Tekiner, Goran Nenadic, John A. Keane

Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

2013

High performance optimizations in runtime speculative parallelization for multicore architectures.

Paraskevas Yiapanis

PhD thesis, 2013

Optimizing software runtime systems for speculative parallelization.

Paraskevas Yiapanis, Demian Rosas-Ham, Gavin Brown, Mikel Luján

ACM Trans. Archit. Code Optim., 2013

2012

Architectural Support for Exploiting Fine Grain Parallelism.

Demian Rosas-Ham, Isuru Herath, Paraskevas Yiapanis, Mikel Luján, Ian Watson

Proceedings of the 14th IEEE International Conference on High Performance Computing and Communication & 9th IEEE International Conference on Embedded Software and Systems, 2012

2010

Online Non-stationary Boosting.

Adam Craig Pocock, Paraskevas Yiapanis, Jeremy Singer, Mikel Luján, Gavin Brown

Proceedings of the Multiple Classifier Systems, 9th International Workshop, 2010

Toward a more accurate understanding of the limits of the TLS execution paradigm.

Nikolas Ioannou, Jeremy Singer, Salman Khan, Polychronis Xekalakis, Paraskevas Yiapanis, Adam Craig Pocock, Gavin Brown, Mikel Luján, Ian Watson, Marcelo Cintra

Proceedings of the 2010 IEEE International Symposium on Workload Characterization, 2010

2009

Fundamental Nano-Patterns to Characterize and Classify Java Methods.

Jeremy Singer, Gavin Brown, Mikel Luján, Adam Craig Pocock, Paraskevas Yiapanis

Proceedings of the Ninth Workshop on Language Descriptions Tools and Applications, 2009

2008

Variable-grain and dynamic work generation for Minimal Unique Itemset mining.

Paraskevas Yiapanis, David J. Haglin, Anna M. Manning, Ken Mayes, John A. Keane

Proceedings of the 2008 IEEE International Conference on Cluster Computing, 29 September, 2008