Paraskevas (Paris) Yiapanis
Paraskevas (Paris) Yiapanis
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A Parallel Distributed Weka Framework for Big Data Mining using Spark
AK Koliopoulos, P Yiapanis, F Tekiner, G Nenadic, J Keane
IEEE International Congress on Big Data (BigData Congress), 9-16, 2015
Fundamental nano-patterns to characterize and classify java methods
J Singer, G Brown, M LujŠn, A Pocock, P Yiapanis
Electronic Notes in Theoretical Computer Science 253 (7), 191-204, 2010
Optimizing software runtime systems for speculative parallelization
P Yiapanis, D Rosas-Ham, G Brown, M LujŠn
ACM Transactions on Architecture and Code Optimization (TACO) 9 (4), 1-27, 2013
Online non-stationary boosting
A Pocock, P Yiapanis, J Singer, M LujŠn, G Brown
Multiple Classifier Systems, 205-214, 2010
Toward a more accurate understanding of the limits of the TLS execution paradigm
N Ioannou, J Singer, S Khan, P Xekalakis, P Yiapanis, A Pocock, G Brown, ...
IEEE International Symposium on Workload Characterization (IISWC), 1-12, 2010
Compiler-Driven Software Speculation for Thread-Level Parallelism
P Yiapanis, G Brown, M LujŠn
ACM Transactions on Programming Languages and Systems (TOPLAS) 38 (2), 5, 2016
Towards Automatic Memory Tuning for In-Memory Big Data Analytics in Clusters
A Koliopoulos, P Yiapanis, T Tekiner, G Nenadic, J Keane
IEEE International Congress On Big Data (BigData Congress), 2016
Scaling Techniques for Parallel Ant Colony Optimization on Large Problem Instances
J Peake, M Amos, P Yiapanis, H Lloyd
Genetic and Evolutionary Computation Conference (GECCO), 2019
Vectorized candidate set selection for parallel ant colony optimization
J Peake, M Amos, P Yiapanis, H Lloyd
Genetic and Evolutionary Computation Conference (GECCO) Companion, 1300-1306, 2018
Static java program features for intelligent squash prediction
J Singer, P Yiapanis, A Pocock, M Lujan, G Brown, N Ioannou, M Cintra
Statistical and Machine learning approaches to ARchitecture and compilaTion†…, 2010
Variable-grain and dynamic work generation for Minimal Unique Itemset mining
P Yiapanis, DJ Haglin, AM Manning, K Mayes, J Keane
IEEE International Conference on Cluster Computing (CLUSTER), 33-41, 2008
Parallel Mining of Minimal Sample Unique Itemsets
P Yiapanis
University of Manchester, 2007
A clustering-based patient grouper for burn care
CN Onah, R Allmendinger, J Handl, P Yiapanis, KW Dunn
Intelligent Data Engineering and Automated Learning–IDEAL 2019: 20th†…, 2019
Leveraging data mining techniques to understand drivers of obesity
R Salehnejad, R Allmendinger, YW Chen, M Ali, A Shahgholian, ...
IEEE Conference on Computational Intelligence in Bioinformatics and†…, 2017
High Performance Optimizations in Runtime Speculative Parallelization for Multicore Architectures
P Yiapanis
The University of Manchester (United Kingdom), 2013
Current and future applications of artificial intelligence in surgery: implications for clinical practice and research
MX Morris, D Fiocco, T Caneva, P Yiapanis, DP Orgill
Frontiers in Surgery 11, 1393898, 2024
Architectural Support for Exploiting Fine Grain Parallelism
D Rosas-Ham, I Herath, P Yiapanis, M LujŠn, I Watson
IEEE International Conference on High Performance Computing and†…, 2012
Using Static Code Features for Intelligent Squash Prediction
J Singer, A Pocock, P Yiapanis, S Wilkinson, M LujŠn, G Brown
Mining Static Features for Squash Prediction in Thread Level Speculation
P Yiapanis, J Singer, A Pocock, M LujŠn, G Brown
Advanced Computer Architecture and Compilation for High-Performance and†…, 2009
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