Paraskevas (Paris) Yiapanis 个人学术档案

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	总计	2019 年至今
引用	326	149
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Mikel LujanDepartment of Computer Science, University of Manchester在 manchester.ac.uk 的电子邮件经过验证
Gavin BrownProfessor of Machine Learning, Dept of Computer Science, University of Manchester在 manchester.ac.uk 的电子邮件经过验证
Adam PocockResearcher at Oracle Labs Machine Learning Research Group在 oracle.com 的电子邮件经过验证
Goran NenadicDepartment of Computer Science, University of Manchester在 manchester.ac.uk 的电子邮件经过验证
Demian Rosas-HamPhD in Computer Science, University of Manchester在 cs.man.ac.uk 的电子邮件经过验证
Marcelo CintraHead of Scientific Computing at CAESAR and Honorary Professor at University of Edinburgh在 caesar.de 的电子邮件经过验证
Nikolas IoannouGoogle在 google.com 的电子邮件经过验证
Martyn AmosProfessor of Computer and Information Sciences, Northumbria University在 northumbria.ac.uk 的电子邮件经过验证
Joshua PeakePhD Student, Centre for Advanced Computational Science, Manchester Metropolitan University在 mmu.ac.uk 的电子邮件经过验证
Huw LloydSenior Lecturer, Computing and Mathematics, Manchester Metropolitan University在 mmu.ac.uk 的电子邮件经过验证
Polychronis XekalakisNvidia在 nvidia.com 的电子邮件经过验证
Salman KhanSolarflare Communications在 solarflare.com 的电子邮件经过验证
Richard AllmendingerProfessor of Applied AI, The University of Manchester, UK在 manchester.ac.uk 的电子邮件经过验证
David J. HaglinChief Technology Officer, Trovares Inc.在 trovares.com 的电子邮件经过验证
Julia HandlProfessor in Decision Sciences, The University of Manchester在 manchester.ac.uk 的电子邮件经过验证
Mohaimen MansurAssociate Professor, University of Dhaka在 isrt.ac.bd 的电子邮件经过验证
Azar ShahgholianSenior Lecturer in Digital Marketing在 ljmu.ac.uk 的电子邮件经过验证
Yu-wang ChenThe University of Manchester在 manchester.ac.uk 的电子邮件经过验证
Isuru HerathPhD Student in Computer Science, University of Manchester在 cs.man.ac.uk 的电子邮件经过验证

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Paraskevas (Paris) Yiapanis

University of Manchester

在 cs.man.ac.uk 的电子邮件经过验证

Machine Learning Engineering Data Science MLOps Data Engineering


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
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	80	2015
Fundamental nano-patterns to characterize and classify java methods J Singer, G Brown, M Luján, A Pocock, P Yiapanis Electronic Notes in Theoretical Computer Science 253 (7), 191-204, 2010	49	2010
Optimizing software runtime systems for speculative parallelization P Yiapanis, D Rosas-Ham, G Brown, M Luján ACM Transactions on Architecture and Code Optimization (TACO) 9 (4), 1-27, 2013	42	2013
Online non-stationary boosting A Pocock, P Yiapanis, J Singer, M Luján, G Brown Multiple Classifier Systems, 205-214, 2010	42	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	24	2010
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	16	2019
Compiler-Driven Software Speculation for Thread-Level Parallelism P Yiapanis, G Brown, M Luján ACM Transactions on Programming Languages and Systems (TOPLAS) 38 (2), 5, 2016	15	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	15	2016
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	12	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	9	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	7	2008
Parallel Mining of Minimal Sample Unique Itemsets P Yiapanis University of Manchester, 2007	5	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	3	2019
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	2	2024
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	2	2017
High Performance Optimizations in Runtime Speculative Parallelization for Multicore Architectures P Yiapanis The University of Manchester (United Kingdom), 2013	2	2013
Architectural Support for Exploiting Fine Grain Parallelism D Rosas-Ham, I Herath, P Yiapanis, M Luján, I Watson IEEE International Conference on High Performance Computing and …, 2012	1	2012
Using Static Code Features for Intelligent Squash Prediction J Singer, A Pocock, P Yiapanis, S Wilkinson, M Luján, G Brown		2009
Mining Static Features for Squash Prediction in Thread Level Speculation P Yiapanis, J Singer, A Pocock, M Luján, G Brown Advanced Computer Architecture and Compilation for High-Performance and …, 2009		2009

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