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Iraklis A. Klampanos
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2020 – today
- 2024
- [j9]Antonis Troumpoukis
, Iraklis A. Klampanos, Despina-Athanasia Pantazi, Mohanad Albughdadi, Vasileios Baousis, Omar Barrilero, Alexandra Bojor, Pedro Branco
European AI and EO convergence via a novel community-driven framework for data-intensive innovation. Future Gener. Comput. Syst. 160: 505-521 (2024) - 2023
- [c28]Antonis Troumpoukis, Iraklis A. Klampanos, Despina-Athanasia Pantazi, Eleni Tsalapati, Mohanad Albughdadi, Mihai Alexe, Vasileios Baousis, Omar Barrilero, Bryce Billière, Alexandra Bojor, Pedro Branco
Bridging the European Earth-Observation and AI Communities for Data-Intensive Innovation. BigDataService 2023: 9-16 - 2022
- [j8]Athanasios Davvetas
Evidence Transfer: Learning Improved Representations According to External Heterogeneous Task Outcomes. ACM Trans. Knowl. Discov. Data 16(5): 85:1-85:22 (2022) - 2021
- [c27]David Coster, Shaun De Witt, Iraklis A. Klampanos, Marcin Plóciennik
Towards Making Fusion Data FAIR. e-Science 2021: 233-234 - [c26]Athina Kyriakou, Iraklis Angelos Klampanos:
MRbox: Simplifying Working with Remote Heterogeneous Analytics and Storage Services via Localised Views. EDBT/ICDT Workshops 2021 - 2020
- [j7]Iraklis A. Klampanos
DARE Platform: a Developer-Friendly and Self-Optimising Workflows-as-a-Service Framework for e-Science on the Cloud. J. Open Source Softw. 5(54): 2664 (2020) - [c25]Athanasios Davvetas, Iraklis A. Klampanos:
Unsupervised Severe Weather Detection Via Joint Representation Learning Over Textual and Weather Data. SETN Workshops 2020: 83-87 - [i8]Athanasios Davvetas, Iraklis A. Klampanos
Unsupervised Severe Weather Detection Via Joint Representation Learning Over Textual and Weather Data. CoRR abs/2005.07243 (2020) - [i7]Vasilis Margonis, Athanasios Davvetas, Iraklis A. Klampanos:
WeLa-VAE: Learning Alternative Disentangled Representations Using Weak Labels. CoRR abs/2008.09879 (2020)
2010 – 2019
- 2019
- [j6]Iraklis A. Klampanos
ANNETT-O: an ontology for describing artificial neural network evaluation, topology and training. Int. J. Metadata Semant. Ontologies 13(3): 179-190 (2019) - [j5]Athanasios Davvetas
The Effect of Evidence Transfer on Latent Feature Relevance for Clustering. Informatics 6(2): 17 (2019) - [c24]Malcolm P. Atkinson, Rosa Filgueira, Iraklis A. Klampanos, Antonis Koukourikos, Amrey Krause, Federica Magnoni, Christian Pagé
Comprehensible Control for Researchers and Developers Facing Data Challenges. eScience 2019: 311-320 - [c23]Iraklis A. Klampanos, Federica Magnoni, Emanuele Casarotti, Christian Pagé
DARE: A Reflective Platform Designed to Enable Agile Data-Driven Research on the Cloud. eScience 2019: 578-585 - [c22]Athanasios Davvetas
Evidence Transfer for Improving Clustering Tasks Using External Categorical Evidence. IJCNN 2019: 1-8 - [i6]Athanasios Davvetas, Iraklis A. Klampanos
Learning Improved Representations by Transferring Incomplete Evidence Across Heterogeneous Tasks. CoRR abs/1912.10490 (2019) - 2018
- [j4]Iraklis A. Klampanos
Autoencoder-driven weather clustering for source estimation during nuclear events. Environ. Model. Softw. 102: 84-93 (2018) - [i5]Iraklis A. Klampanos
ANNETT-O: An Ontology for Describing Artificial Neural Network Evaluation, Topology and Training. CoRR abs/1804.02528 (2018) - [i4]Athanasios Davvetas, Iraklis A. Klampanos
Evidence Transfer for Improving Clustering Tasks Using External Categorical Evidence. CoRR abs/1811.03909 (2018) - 2017
- [j3]Rosa Filgueira, Amrey Krause, Malcolm P. Atkinson, Iraklis A. Klampanos, Alexander Moreno:
dispel4py. Int. J. High Perform. Comput. Appl. 31(4): 316-334 (2017) - [c21]Sören Auer
The BigDataEurope Platform - Supporting the Variety Dimension of Big Data. ICWE 2017: 41-59 - [c20]Athanasios Davvetas, Iraklis A. Klampanos, Spyros Andronopoulos, Giannis Mouchakis, Stasinos Konstantopoulos, Andreas Ikonomopoulos, Vangelis Karkaletsis:
Big Data Processing and Semantic Web Technologies for Decision Making in Hazardous Substance Dispersion Emergencies. ISWC (Posters, Demos & Industry Tracks) 2017 - [i3]Iraklis A. Klampanos
Autoencoder-Driven Weather Clustering for Source Estimation during Nuclear Events. CoRR abs/1709.05840 (2017) - 2016
- [i2]Robert L. Grossman, Matthew Greenway, Allison P. Heath, Ray Powell, Rafael D. Suarez, Walt Wells, Kevin P. White, Malcolm P. Atkinson, Iraklis A. Klampanos, Heidi L. Alvarez, Christine Harvey, Joe Mambretti:
The Design of a Community Science Cloud: The Open Science Data Cloud Perspective. CoRR abs/1601.00323 (2016) - 2015
- [c19]Malcolm P. Atkinson, Michele Carpenè, Emanuele Casarotti
VERCE Delivers a Productive E-science Environment for Seismology Research. e-Science 2015: 224-236 - [c18]Rosa Filgueira, Amrey Krause, Malcolm P. Atkinson, Iraklis A. Klampanos, Alessandro Spinuso, Susana Sánchez-Expósito
dispel4py: An Agile Framework for Data-Intensive eScience. e-Science 2015: 454-464 - [i1]Malcolm P. Atkinson, Michele Carpenè, Emanuele Casarotti, Steffen Claus, Rosa Filgueira, Anton Frank, Michelle Galea, Tom Garth, André Gemünd, Heiner Igel, Iraklis A. Klampanos, Amrey Krause, Lion Krischer, Siew Hoon Leong, Federica Magnoni, Jonas Matser, Alberto Michelini, Andreas Rietbrock, Horst Schwichtenberg, Alessandro Spinuso, Jean-Pierre Vilotte:
VERCE delivers a productive e-Science environment for seismology research. CoRR abs/1510.01989 (2015) - 2014
- [c17]Rosa Filgueira, Iraklis A. Klampanos, Yusuke Tanimura, Malcolm P. Atkinson:
FAST: flexible automated synchronization transfer. DICT@HPDC 2014: 47-52 - [c16]Rosa Filgueira, Iraklis A. Klampanos, Amrey Krause, Mário David
dispel4py: a Python framework for data-intensive scientific computing. DISCS@SC 2014: 9-16 - 2013
- [c15]Sandra Gesing, Malcolm P. Atkinson, Iraklis A. Klampanos, Michelle Galea, Michael R. Berthold, Roberto Barbera, Diego Scardaci, Gábor Terstyánszky, Tamás Kiss
The demand for consistent web-based workflow editors. WORKS@SC 2013: 112-123 - [c14]Michele Carpenè, Iraklis A. Klampanos, Siew Hoon Leong, Emanuele Casarotti, Peter Danecek
Towards Addressing CPU-Intensive Seismological Applications in Europe. ISC 2013: 55-66 - 2012
- [j2]Iraklis A. Klampanos, Joemon M. Jose
Searching in peer-to-peer networks. Comput. Sci. Rev. 6(4): 161-183 (2012) - [c13]Stewart Whiting, Iraklis A. Klampanos, Joemon M. Jose
Temporal Pseudo-relevance Feedback in Microblog Retrieval. ECIR 2012: 522-526 - [c12]Robert L. Grossman, Matthew Greenway, Allison P. Heath, Ray Powell
The Design of a Community Science Cloud: The Open Science Data Cloud Perspective. SC Companion 2012: 1051-1057 - 2011
- [c11]Stewart Whiting, Iraklis A. Klampanos, Joemon M. Jose:
University of Glasgow (UGLA-D) at TREC Microblog 2011: Temporal Pseudo-Relevance Feedback in Microblog Retrieval. TREC 2011 - [p1]Hany Azzam, Iraklis A. Klampanos, Thomas Roelleke:
Large-Scale Logical Retrieval: Technology for Semantic Modelling of Patent Search. Current Challenges in Patent Information Retrieval 2011: 181-195 - 2010
- [c10]Iraklis A. Klampanos, Hengzhi Wu, Thomas Roelleke, Hany Azzam:
Logic-Based Retrieval: Technology for Content-Oriented and Analytical Querying of Patent Data. IRFC 2010: 100-119
2000 – 2009
- 2009
- [j1]Iraklis A. Klampanos:
Manning Christopher, Prabhakar Raghavan, Hinrich Schütze: Introduction to information retrieval. Inf. Retr. 12(5): 609-612 (2009) - [c9]Iraklis A. Klampanos, Hany Azzam, Thomas Roelleke:
A case for probabilistic logic for scalable patent retrieval. PaIR@CIKM 2009: 1-8 - 2008
- [c8]P. Punitha, Thierry Urruty, Yue Feng, Martin Halvey, Anuj Goyal, David Hannah, Iraklis A. Klampanos, Vassilios Stathopoulos, Robert Villa, Joemon M. Jose:
Glasgow University at TRECVID 2008. TRECVID 2008 - 2007
- [c7]Iraklis A. Klampanos, Joemon M. Jose:
An Evaluation of a Cluster-Based Architecture for Peer-to-Peer Information Retrieval. DEXA 2007: 380-391 - 2006
- [c6]Iraklis A. Klampanos, Joemon M. Jose
Single-pass clustering for peer-to-peer information retrieval: the effect of document ordering. Infoscale 2006: 36 - 2005
- [c5]Iraklis A. Klampanos, Victor Poznanski:
Retrieval Efficiency in Peer-to-Peer Networks with Replication Restrictions. DEXA Workshops 2005: 758-763 - [c4]Iraklis A. Klampanos, Victor Poznanski, Joemon M. Jose, Peter Dickman:
A Suite of Testbeds for the Realistic Evaluation of Peer-to-Peer Information Retrieval Systems. ECIR 2005: 38-51 - 2004
- [c3]Iraklis A. Klampanos, Joemon M. Jose:
An architecture for information retrieval over semi-collaborating Peer-to-Peer networks. SAC 2004: 1078-1083 - 2003
- [c2]Iraklis A. Klampanos, James J. Barnes, Joemon M. Jose:
Evaluating Peer-to-Peer Networking for Information Retrieval within the Context of Meta-searching. ECIR 2003: 528-536 - [c1]Iraklis A. Klampanos, Joemon M. Jose:
An architecture for peer-to-peer information retrieval. SIGIR 2003: 401-402
Coauthor Index
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