Iraklis A. Klampanos

50 papers A* 1A 3B 5C 2Misc 1Journal 19Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Deep Learning Approach to Evaluate Individual Predictors for Extreme Precipitation in Greece. DARES@ECAI Vasileios Vatellis, Stelios Karozis, Iraklis A. Klampanos, Antonis Troumpoukis, Antonis Gkanios
2025	J	`jnl`	Enhancing Interpretability in Generative AI Through Search-Based Data Influence Analysis. CoRR Theodoros Aivalis, Iraklis A. Klampanos, Antonis Troumpoukis, Joemon M. Jose
2025	—	`conf`	LLM-Driven Knowledge Graph Construction from Earth Observation Data for Extreme Events. DARES@ECAI Theodoros Aivalis, Iraklis A. Klampanos, Antonis Troumpoukis
2025	—	`ed.`	Proceedings of the Workshop on AI-driven Data Engineering and Reusability for Earth and Space Sciences (DARES 2025) co-located with the 28th European Conference on Artificial Intelligence (ECAI 2025), Bologna, Italy, October 25, 2025. DARES@ECAI Iraklis A. Klampanos, Antonis Troumpoukis, Manolis Koubarakis
2025	J	`jnl`	Training Data Attribution for Image Generation using Ontology-Aligned Knowledge Graphs. CoRR Theodoros Aivalis, Iraklis A. Klampanos, Antonis Troumpoukis, Joemon M. Jose
2024	J	`jnl`	European AI and EO convergence via a novel community-driven framework for data-intensive innovation. Future Gener. Comput. Syst. Antonis Troumpoukis, Iraklis A. Klampanos, Despina-Athanasia Pantazi, Mohanad Albughdadi, Vasileios Baousis, Omar Barrilero, Alexandra Bojor, Pedro Branco, Lorenzo Bruzzone, Andreina Chietera, Philippe Fournand, Richard Hall, Michele Lazzarini, Adrian Luna, Alexandros Nousias, Christos Perentis, George Petrakis, Dharmen Punjani, David Röbl, George Stamoulis, Eleni Tsalapati, Indre Urbanaviciute, Giulio Weikmann, Xenia Ziouvelou, Marcin Ziólkowski, Manolis Koubarakis, Vangelis Karkaletsis
2023	—	`conf`	Bridging the European Earth-Observation and AI Communities for Data-Intensive Innovation. BigDataService Antonis Troumpoukis, Iraklis A. Klampanos, Despina-Athanasia Pantazi, Eleni Tsalapati, Mohanad Albughdadi, Mihai Alexe, Vasileios Baousis, Omar Barrilero, Bryce Billière, Alexandra Bojor, Pedro Branco, Lorenzo Bruzzone, Andreina Chietera, Philippe Fournand, Richard Hall, David Hassan, Michele Lazzarini, Adrian Luna, Dharmen Punjani, George Stamoulis, Giulio Weikmann, Marcin Ziólkowski, Xenia Ziouvelou, Manolis Koubarakis, Vangelis Karkaletsis
2022	J	`jnl`	Evidence Transfer: Learning Improved Representations According to External Heterogeneous Task Outcomes. ACM Trans. Knowl. Discov. Data Athanasios Davvetas, Iraklis A. Klampanos, Spiros Skiadopoulos, Vangelis Karkaletsis
2021	B	`conf`	Towards Making Fusion Data FAIR. e-Science 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
2020	J	`jnl`	DARE Platform: a Developer-Friendly and Self-Optimising Workflows-as-a-Service Framework for e-Science on the Cloud. J. Open Source Softw. Iraklis A. Klampanos, Chrysoula Themeli, Alessandro Spinuso, Rosa Filgueira, Malcolm P. Atkinson, André Gemünd, Vangelis Karkaletsis
2020	—	`conf`	Unsupervised Severe Weather Detection Via Joint Representation Learning Over Textual and Weather Data. SETN Workshops Athanasios Davvetas, Iraklis A. Klampanos
2020	J	`jnl`	Unsupervised Severe Weather Detection Via Joint Representation Learning Over Textual and Weather Data. CoRR Athanasios Davvetas, Iraklis A. Klampanos
2020	J	`jnl`	WeLa-VAE: Learning Alternative Disentangled Representations Using Weak Labels. CoRR Vasilis Margonis, Athanasios Davvetas, Iraklis A. Klampanos
2019	J	`jnl`	ANNETT-O: an ontology for describing artificial neural network evaluation, topology and training. Int. J. Metadata Semant. Ontologies Iraklis A. Klampanos, Athanasios Davvetas, Antonis Koukourikos, Vangelis Karkaletsis
2019	—	`conf`	Comprehensible Control for Researchers and Developers Facing Data Challenges. eScience Malcolm P. Atkinson, Rosa Filgueira, Iraklis A. Klampanos, Antonis Koukourikos, Amrey Krause, Federica Magnoni, Christian Pagé, Andreas Rietbrock, Alessandro Spinuso
2019	—	`conf`	DARE: A Reflective Platform Designed to Enable Agile Data-Driven Research on the Cloud. eScience Iraklis A. Klampanos, Federica Magnoni, Emanuele Casarotti, Christian Pagé, Mike Lindner, Andreas Ikonomopoulos, Vangelis Karkaletsis, Athanasios Davvetas, André Gemünd, Malcolm P. Atkinson, Antonios Koukourikos, Rosa Filgueira, Amrey Krause, Alessandro Spinuso, Angelos Charalambidis
2019	B	`conf`	Evidence Transfer for Improving Clustering Tasks Using External Categorical Evidence. IJCNN Athanasios Davvetas, Iraklis A. Klampanos, Vangelis Karkaletsis
2019	J	`jnl`	Learning Improved Representations by Transferring Incomplete Evidence Across Heterogeneous Tasks. CoRR Athanasios Davvetas, Iraklis A. Klampanos
2019	J	`jnl`	The Effect of Evidence Transfer on Latent Feature Relevance for Clustering. Informatics Athanasios Davvetas, Iraklis A. Klampanos, Spiros Skiadopoulos, Vangelis Karkaletsis
2018	J	`jnl`	ANNETT-O: An Ontology for Describing Artificial Neural Network Evaluation, Topology and Training. CoRR Iraklis A. Klampanos, Athanasios Davvetas, Antonis Koukourikos, Vangelis Karkaletsis
2018	J	`jnl`	Autoencoder-driven weather clustering for source estimation during nuclear events. Environ. Model. Softw. Iraklis A. Klampanos, Athanasios Davvetas, Spyros Andronopoulos, Charalambos Pappas, Andreas Ikonomopoulos, Vangelis Karkaletsis
2018	J	`jnl`	Evidence Transfer for Improving Clustering Tasks Using External Categorical Evidence. CoRR Athanasios Davvetas, Iraklis A. Klampanos, Vangelis Karkaletsis
2017	J	`jnl`	Autoencoder-Driven Weather Clustering for Source Estimation during Nuclear Events. CoRR Iraklis A. Klampanos, Athanasios Davvetas, Spyros Andronopoulos, Charalambos Pappas, Andreas Ikonomopoulos, Vangelis Karkaletsis
2017	—	`conf`	Big Data Processing and Semantic Web Technologies for Decision Making in Hazardous Substance Dispersion Emergencies. ISWC (Posters, Demos & Industry Tracks) Athanasios Davvetas, Iraklis A. Klampanos, Spyros Andronopoulos, Giannis Mouchakis, Stasinos Konstantopoulos, Andreas Ikonomopoulos, Vangelis Karkaletsis
2017	B	`conf`	The BigDataEurope Platform - Supporting the Variety Dimension of Big Data. ICWE Sören Auer, Simon Scerri, Aad Versteden, Erika Pauwels, Angelos Charalambidis, Stasinos Konstantopoulos, Jens Lehmann, Hajira Jabeen, Ivan Ermilov, Gezim Sejdiu, Andreas Ikonomopoulos, Spyros Andronopoulos, Mandy Vlachogiannis, Charalambos Pappas, Athanasios Davettas, Iraklis A. Klampanos, Efstathios Grigoropoulos, Vangelis Karkaletsis, Victor de Boer, Ronald Siebes, Mohamed Nadjib Mami, Sergio Albani, Michele Lazzarini, Paulo Nunes, Emanuele Angiuli, Nikiforos Pittaras, George Giannakopoulos, Giorgos Argyriou, George Stamoulis, George Papadakis, Manolis Koubarakis, Pythagoras Karampiperis, Axel-Cyrille Ngonga Ngomo, Maria-Esther Vidal
2017	J	`jnl`	dispel4py. Int. J. High Perform. Comput. Appl. Rosa Filgueira, Amrey Krause, Malcolm P. Atkinson, Iraklis A. Klampanos, Alexander Moreno
2016	J	`jnl`	The Design of a Community Science Cloud: The Open Science Data Cloud Perspective. CoRR 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
2015	B	`conf`	VERCE Delivers a Productive E-science Environment for Seismology Research. e-Science 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
2015	J	`jnl`	VERCE delivers a productive e-Science environment for seismology research. CoRR 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
2015	B	`conf`	dispel4py: An Agile Framework for Data-Intensive eScience. e-Science Rosa Filgueira, Amrey Krause, Malcolm P. Atkinson, Iraklis A. Klampanos, Alessandro Spinuso, Susana Sánchez-Expósito
2014	—	`conf`	FAST: flexible automated synchronization transfer. DICT@HPDC Rosa Filgueira, Iraklis A. Klampanos, Yusuke Tanimura, Malcolm P. Atkinson
2014	—	`conf`	dispel4py: a Python framework for data-intensive scientific computing. DISCS@SC Rosa Filgueira, Iraklis A. Klampanos, Amrey Krause, Mário David, Alexander Moreno, Malcolm P. Atkinson
2013	—	`conf`	The demand for consistent web-based workflow editors. WORKS@SC Sandra Gesing, Malcolm P. Atkinson, Iraklis A. Klampanos, Michelle Galea, Michael R. Berthold, Roberto Barbera, Diego Scardaci, Gábor Terstyánszky, Tamás Kiss, Péter Kacsuk
2013	C	`conf`	Towards Addressing CPU-Intensive Seismological Applications in Europe. ISC 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, Luca Trani, Malcolm P. Atkinson, Giovanni Erbacci, Anton Frank, Heiner Igel, Andreas Rietbrock, Horst Schwichtenberg, Jean-Pierre Vilotte
2012	J	`jnl`	Searching in peer-to-peer networks. Comput. Sci. Rev. Iraklis A. Klampanos, Joemon M. Jose
2012	A	`conf`	Temporal Pseudo-relevance Feedback in Microblog Retrieval. ECIR Stewart Whiting, Iraklis A. Klampanos, Joemon M. Jose
2012	—	`conf`	The Design of a Community Science Cloud: The Open Science Data Cloud Perspective. SC Companion 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
2011	—	`ch.`	Large-Scale Logical Retrieval: Technology for Semantic Modelling of Patent Search. Current Challenges in Patent Information Retrieval Hany Azzam, Iraklis A. Klampanos, Thomas Roelleke
2011	—	`conf`	University of Glasgow (UGLA-D) at TREC Microblog 2011: Temporal Pseudo-Relevance Feedback in Microblog Retrieval. TREC Stewart Whiting, Iraklis A. Klampanos, Joemon M. Jose
2010	—	`conf`	Logic-Based Retrieval: Technology for Content-Oriented and Analytical Querying of Patent Data. IRFC Iraklis A. Klampanos, Hengzhi Wu, Thomas Roelleke, Hany Azzam
2009	—	`conf`	A case for probabilistic logic for scalable patent retrieval. PaIR@CIKM Iraklis A. Klampanos, Hany Azzam, Thomas Roelleke
2009	J	`jnl`	Manning Christopher, Prabhakar Raghavan, Hinrich Schütze: Introduction to information retrieval. Inf. Retr. Iraklis A. Klampanos
2008	—	`conf`	Glasgow University at TRECVID 2008. TRECVID P. Punitha, Thierry Urruty, Yue Feng, Martin Halvey, Anuj Goyal, David Hannah, Iraklis A. Klampanos, Vassilios Stathopoulos, Robert Villa, Joemon M. Jose
2007	C	`conf`	An Evaluation of a Cluster-Based Architecture for Peer-to-Peer Information Retrieval. DEXA Iraklis A. Klampanos, Joemon M. Jose
2006	—	`conf`	Single-pass clustering for peer-to-peer information retrieval: the effect of document ordering. Infoscale Iraklis A. Klampanos, Joemon M. Jose, Keith van Rijsbergen
2005	A	`conf`	A Suite of Testbeds for the Realistic Evaluation of Peer-to-Peer Information Retrieval Systems. ECIR Iraklis A. Klampanos, Victor Poznanski, Joemon M. Jose, Peter Dickman
2005	—	`conf`	Retrieval Efficiency in Peer-to-Peer Networks with Replication Restrictions. DEXA Workshops Iraklis A. Klampanos, Victor Poznanski
2004	Misc	`conf`	An architecture for information retrieval over semi-collaborating Peer-to-Peer networks. SAC Iraklis A. Klampanos, Joemon M. Jose
2003	A*	`conf`	An architecture for peer-to-peer information retrieval. SIGIR Iraklis A. Klampanos, Joemon M. Jose
2003	A	`conf`	Evaluating Peer-to-Peer Networking for Information Retrieval within the Context of Meta-searching. ECIR Iraklis A. Klampanos, James J. Barnes, Joemon M. Jose