Evaluating Peer-to-Peer Networking for Information Retrieval within the Context of Meta-searching. - Iraklis A. Klampanos; James J. Barnes; Joemon M. Jose (ECIR, 2003)

An architecture for peer-to-peer information retrieval. - Iraklis A. Klampanos; Joemon M. Jose (SIGIR, 2003)

An architecture for information retrieval over semi-collaborating Peer-to-Peer networks. - Iraklis A. Klampanos; Joemon M. Jose (SAC, 2004)

Retrieval Efficiency in Peer-to-Peer Networks with Replication Restrictions. - Iraklis A. Klampanos; Victor Poznanski (DEXA Workshops, 2005)

A Suite of Testbeds for the Realistic Evaluation of Peer-to-Peer Information Retrieval Systems. - Iraklis A. Klampanos; Victor Poznanski; Joemon M. Jose; Peter Dickman (ECIR, 2005)

Single-pass clustering for peer-to-peer information retrieval: the effect of document ordering. - Iraklis A. Klampanos; Joemon M. Jose; Keith van Rijsbergen (Infoscale, 2006)

An Evaluation of a Cluster-Based Architecture for Peer-to-Peer Information Retrieval. - Iraklis A. Klampanos; Joemon M. Jose (DEXA, 2007)

Glasgow University at TRECVID 2008. - P. Punitha 001; Thierry Urruty; Yue Feng 002; Martin Halvey; Anuj Goyal; David Hannah; Iraklis A. Klampanos; Vassilios Stathopoulos 002; Robert Villa; Joemon M. Jose (TRECVID, 2008)

A case for probabilistic logic for scalable patent retrieval. - Iraklis A. Klampanos; Hany Azzam; Thomas Roelleke (PaIR@CIKM, 2009)

Manning Christopher, Prabhakar Raghavan, Hinrich Schütze: Introduction to information retrieval. - Iraklis A. Klampanos (Inf. Retr., 2009)

Logic-Based Retrieval: Technology for Content-Oriented and Analytical Querying of Patent Data. - Iraklis A. Klampanos; Hengzhi Wu; Thomas Roelleke; Hany Azzam (IRFC, 2010)

Large-Scale Logical Retrieval: Technology for Semantic Modelling of Patent Search. - Hany Azzam; Iraklis A. Klampanos; Thomas Roelleke (Current Challenges in Patent Information Retrieval, 2011)

University of Glasgow (UGLA-D) at TREC Microblog 2011: Temporal Pseudo-Relevance Feedback in Microblog Retrieval. - Stewart Whiting; Iraklis A. Klampanos; Joemon M. Jose (TREC, 2011)

Temporal Pseudo-relevance Feedback in Microblog Retrieval. - Stewart Whiting; Iraklis A. Klampanos; Joemon M. Jose (ECIR, 2012)

The Design of a Community Science Cloud: The Open Science Data Cloud Perspective. - Robert L. Grossman; Matthew Greenway; Allison P. Heath; Ray Powell; Rafael D. Suarez; Walt Wells; Kevin P. White; Malcolm P. Atkinson 001; Iraklis A. Klampanos; Heidi L. Alvarez; Christine Harvey; Joe Mambretti (SC Companion, 2012)

Searching in peer-to-peer networks. - Iraklis A. Klampanos; Joemon M. Jose (Comput. Sci. Rev., 2012)

The demand for consistent web-based workflow editors. - Sandra Gesing; Malcolm P. Atkinson 001; Iraklis A. Klampanos; Michelle Galea; Michael R. Berthold; Roberto Barbera; Diego Scardaci; Gábor Terstyánszky; Tamás Kiss; Péter Kacsuk (WORKS@SC, 2013)

Towards Addressing CPU-Intensive Seismological Applications in Europe. - Michele Carpenè; Iraklis A. Klampanos; Siew Hoon Leong; Emanuele Casarotti; Peter Danecek; Graziella Ferini; André Gemünd; Amrey Krause; Lion Krischer; Federica Magnoni; Marek Simon; Alessandro Spinuso; et al. (ISC, 2013)

FAST: flexible automated synchronization transfer. - Rosa Filgueira; Iraklis A. Klampanos; Yusuke Tanimura; Malcolm P. Atkinson 001 (DICT@HPDC, 2014)

dispel4py: a Python framework for data-intensive scientific computing. - Rosa Filgueira; Iraklis A. Klampanos; Amrey Krause; Mário David; Alexander Moreno; Malcolm P. Atkinson 001 (DISCS@SC, 2014)

VERCE Delivers a Productive E-science Environment for Seismology Research. - Malcolm P. Atkinson 001; Michele Carpenè; Emanuele Casarotti; Steffen Claus; Rosa Filgueira; Anton Frank; Michelle Galea; Tom Garth; André Gemünd; Heiner Igel; Iraklis A. Klampanos; Amrey Krause; et al. (e-Science, 2015)

dispel4py: An Agile Framework for Data-Intensive eScience. - Rosa Filgueira; Amrey Krause; Malcolm P. Atkinson 001; Iraklis A. Klampanos; Alessandro Spinuso; Susana Sánchez-Expósito (e-Science, 2015)

The BigDataEurope Platform - Supporting the Variety Dimension of Big Data. - Sören Auer; Simon Scerri; Aad Versteden; Erika Pauwels; Angelos Charalambidis; Stasinos Konstantopoulos; Jens Lehmann 001; Hajira Jabeen; Ivan Ermilov; Gezim Sejdiu; Andreas Ikonomopoulos; Spyros Andronopoulos; et al. (ICWE, 2017)

Big Data Processing and Semantic Web Technologies for Decision Making in Hazardous Substance Dispersion Emergencies. - Athanasios Davvetas; Iraklis A. Klampanos; Spyros Andronopoulos; Giannis Mouchakis; Stasinos Konstantopoulos; Andreas Ikonomopoulos; Vangelis Karkaletsis (ISWC (Posters, Demos & Industry Tracks), 2017)

dispel4py. - Rosa Filgueira; Amrey Krause; Malcolm P. Atkinson 001; Iraklis A. Klampanos; Alexander Moreno (Int. J. High Perform. Comput. Appl., 2017)

Autoencoder-driven weather clustering for source estimation during nuclear events. - Iraklis A. Klampanos; Athanasios Davvetas; Spyros Andronopoulos; Charalambos Pappas; Andreas Ikonomopoulos; Vangelis Karkaletsis (Environ. Model. Softw., 2018)

Comprehensible Control for Researchers and Developers Facing Data Challenges. - Malcolm P. Atkinson 001; Rosa Filgueira; Iraklis A. Klampanos; Antonis Koukourikos; Amrey Krause; Federica Magnoni; Christian Pagé; Andreas Rietbrock; Alessandro Spinuso (eScience, 2019)

DARE: A Reflective Platform Designed to Enable Agile Data-Driven Research on the Cloud. - Iraklis A. Klampanos; Federica Magnoni; Emanuele Casarotti; Christian Pagé; Mike Lindner; Andreas Ikonomopoulos; Vangelis Karkaletsis; Athanasios Davvetas; André Gemünd; Malcolm P. Atkinson 001; Antonios Koukourikos; Rosa Filgueira; et al. (eScience, 2019)

Evidence Transfer for Improving Clustering Tasks Using External Categorical Evidence. - Athanasios Davvetas; Iraklis A. Klampanos; Vangelis Karkaletsis (IJCNN, 2019)

Learning Improved Representations by Transferring Incomplete Evidence Across Heterogeneous Tasks. - Athanasios Davvetas; Iraklis A. Klampanos (CoRR, 2019)

ANNETT-O: an ontology for describing artificial neural network evaluation, topology and training. - Iraklis A. Klampanos; Athanasios Davvetas; Antonis Koukourikos; Vangelis Karkaletsis (Int. J. Metadata Semant. Ontologies, 2019)

The Effect of Evidence Transfer on Latent Feature Relevance for Clustering. - Athanasios Davvetas; Iraklis A. Klampanos; Spiros Skiadopoulos; Vangelis Karkaletsis (Informatics, 2019)

Unsupervised Severe Weather Detection Via Joint Representation Learning Over Textual and Weather Data. - Athanasios Davvetas; Iraklis A. Klampanos (SETN Workshops, 2020)

WeLa-VAE: Learning Alternative Disentangled Representations Using Weak Labels. - Vasilis Margonis; Athanasios Davvetas; Iraklis A. Klampanos (CoRR, 2020)

DARE Platform: a Developer-Friendly and Self-Optimising Workflows-as-a-Service Framework for e-Science on the Cloud. - Iraklis A. Klampanos; Chrysoula Themeli; Alessandro Spinuso; Rosa Filgueira; Malcolm P. Atkinson 001; André Gemünd; Vangelis Karkaletsis (J. Open Source Softw., 2020)

Towards Making Fusion Data FAIR. - David Coster; Shaun De Witt; Iraklis A. Klampanos; Marcin Plóciennik; Andreas Ikonomopoulos; Frederic Imbeaux; Nathan Cummings; Michal Owsiak; Agata Filipczak; Bartosz Bosak; Stasinos Konstantopoulos; Pär Strand (e-Science, 2021)

MRbox: Simplifying Working with Remote Heterogeneous Analytics and Storage Services via Localised Views. - Athina Kyriakou; Iraklis Angelos Klampanos (EDBT/ICDT Workshops, 2021)

Evidence Transfer: Learning Improved Representations According to External Heterogeneous Task Outcomes. - Athanasios Davvetas; Iraklis A. Klampanos; Spiros Skiadopoulos; Vangelis Karkaletsis (ACM Trans. Knowl. Discov. Data, 2022)

Bridging the European Earth-Observation and AI Communities for Data-Intensive Innovation. - Antonis Troumpoukis; Iraklis A. Klampanos; Despina-Athanasia Pantazi; Eleni Tsalapati; Mohanad Albughdadi; Mihai Alexe; Vasileios Baousis; Omar Barrilero; Bryce Billière; Alexandra Bojor; Pedro Branco 002; Lorenzo Bruzzone; et al. (BigDataService, 2023)

European AI and EO convergence via a novel community-driven framework for data-intensive innovation. - Antonis Troumpoukis; Iraklis A. Klampanos; Despina-Athanasia Pantazi; Mohanad Albughdadi; Vasileios Baousis; Omar Barrilero; Alexandra Bojor; Pedro Branco 002; Lorenzo Bruzzone; Andreina Chietera; Philippe Fournand; Richard Hall; et al. (Future Gener. Comput. Syst., 2024)

Enhancing Interpretability in Generative AI Through Search-Based Data Influence Analysis. - Theodoros Aivalis; Iraklis A. Klampanos; Antonis Troumpoukis; Joemon M. Jose (CoRR, 2025)