| dispel4py: A Python framework for data-intensive scientific computing R Filguiera, A Krause, M Atkinson, I Klampanos, A Moreno The International Journal of High Performance Computing Applications 31 (4 …, 2017 | 70 | 2017 |
| An architecture for information retrieval over semi-collaborating peer-to-peer networks IA Klampanos, JM Jose Proceedings of the 2004 ACM symposium on Applied computing, 1078-1083, 2004 | 68 | 2004 |
| Automatic detection of seafloor marine litter using towed camera images and deep learning DV Politikos, E Fakiris, A Davvetas, IA Klampanos, G Papatheodorou Marine Pollution Bulletin 164, 111974, 2021 | 54 | 2021 |
| The BigDataEurope platform–supporting the variety dimension of big data S Auer, S Scerri, A Versteden, E Pauwels, A Charalambidis, ... Web Engineering: 17th International Conference, ICWE 2017, Rome, Italy, June …, 2017 | 39 | 2017 |
| The design of a community science cloud: The open science data cloud perspective RL Grossman, M Greenway, AP Heath, R Powell, RD Suarez, W Wells, ... 2012 SC Companion: High Performance Computing, Networking Storage and …, 2012 | 32 | 2012 |
| A suite of testbeds for the realistic evaluation of peer-to-peer information retrieval systems IA Klampanos, V Poznański, JM Jose, P Dickman European Conference on Information Retrieval, 38-51, 2005 | 30 | 2005 |
| Temporal pseudo-relevance feedback in microblog retrieval S Whiting, IA Klampanos, JM Jose European Conference on Information Retrieval, 522-526, 2012 | 27 | 2012 |
| dispel4py: An agile framework for data-intensive escience R Filgueira, A Krause, M Atkinson, I Klampanos, A Spinuso, ... 2015 IEEE 11th International Conference on e-Science, 454-464, 2015 | 26 | 2015 |
| Manning Christopher, Prabhakar Raghavan, Hinrich Schütze: Introduction to information retrieval: Cambridge University Press, Cambridge, 2008, 478 pp, Price 60, ISBN 97805218657515 IA Klampanos Information Retrieval 12, 609-612, 2009 | 22 | 2009 |
| VERCE delivers a productive e-Science environment for seismology research M Atkinson, M Carpené, E Casarotti, S Claus, R Filgueira, A Frank, ... 2015 IEEE 11th International Conference on e-Science, 224-236, 2015 | 19 | 2015 |
| An architecture for peer-to-peer information retrieval IA Klampanos, JM Jose Proceedings of the 26th annual international ACM SIGIR conference on …, 2003 | 19 | 2003 |
| Autoencoder-driven weather clustering for source estimation during nuclear events IA Klampanos, A Davvetas, S Andronopoulos, C Pappas, ... Environmental Modelling & Software 102, 84-93, 2018 | 17 | 2018 |
| An evaluation of a cluster-based architecture for peer-to-peer information retrieval IA Klampanos, JM Jose International Conference on Database and Expert Systems Applications, 380-391, 2007 | 12 | 2007 |
| Single-pass clustering for peer-to-peer information retrieval: the effect of document ordering IA Klampanos, JM Jose, CJK van Rijsbergen Proceedings of the 1st international conference on Scalable information …, 2006 | 12 | 2006 |
| DARE: A reflective platform designed to enable agile data-driven research on the cloud I Klampanos, A Davvetas, A Gemünd, M Atkinson, A Koukourikos, ... 2019 15th International Conference on eScience (eScience), 578-585, 2019 | 11 | 2019 |
| ANNETT-O: an ontology for describing artificial neural network evaluation, topology and training IA Klampanos, A Davvetas, A Koukourikos, V Karkaletsis International Journal of Metadata, Semantics and Ontologies 13 (3), 179-190, 2019 | 10 | 2019 |
| DARE Platform: a Developer-Friendly and Self-Optimising Workflows-as-a-Service Framework for e-Science on the Cloud IA Klampanos, C Themeli, A Spinuso, R Filgueira, M Atkinson, A Gemünd, ... Journal of Open Source Software 5 (54), 2664, 2020 | 7 | 2020 |
| Comprehensible control for researchers and developers facing data challenges M Atkinson, R Filgueira, I Klampanos, A Koukourikos, A Krause, ... 2019 15th International Conference on eScience (eScience), 311-320, 2019 | 7 | 2019 |
| Searching in peer-to-peer networks IA Klampanos, JM Jose Computer Science Review 6 (4), 161-183, 2012 | 7 | 2012 |
| A deep learning approach for spatial error correction of numerical seasonal weather prediction simulation data S Karozis, IA Klampanos, A Sfetsos, D Vlachogiannis Big Earth Data 7 (2), 231-250, 2023 | 6 | 2023 |
Malcolm AtkinsonProfessor of eScience, University of EdinburghVerified email at ed.ac.uk
