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238 results on '"Dalamagas, Theodore"'

1. Effector: A Python package for regional explanations

Author

Gkolemis, Vasilis, Diou, Christos, Ntoutsi, Eirini, Dalamagas, Theodore, Bischl, Bernd, Herbinger, Julia, and Casalicchio, Giuseppe

Subjects
Computer Science - Machine Learning
Abstract

Global feature effect methods explain a model outputting one plot per feature. The plot shows the average effect of the feature on the output, like the effect of age on the annual income. However, average effects may be misleading when derived from local effects that are heterogeneous, i.e., they significantly deviate from the average. To decrease the heterogeneity, regional effects provide multiple plots per feature, each representing the average effect within a specific subspace. For interpretability, subspaces are defined as hyperrectangles defined by a chain of logical rules, like age's effect on annual income separately for males and females and different levels of professional experience. We introduce Effector, a Python library dedicated to regional feature effects. Effector implements well-established global effect methods, assesses the heterogeneity of each method and, based on that, provides regional effects. Effector automatically detects subspaces where regional effects have reduced heterogeneity. All global and regional effect methods share a common API, facilitating comparisons between them. Moreover, the library's interface is extensible so new methods can be easily added and benchmarked. The library has been thoroughly tested, ships with many tutorials (https://xai-effector.github.io/) and is available under an open-source license at PyPi (https://pypi.org/project/effector/) and Github (https://github.com/givasile/effector)., Comment: 33 pages, 17 figures

Published
2024

2. Regionally Additive Models: Explainable-by-design models minimizing feature interactions

Author

Gkolemis, Vasilis, Tzerefos, Anargiros, Dalamagas, Theodore, Ntoutsi, Eirini, and Diou, Christos

Subjects
Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

Generalized Additive Models (GAMs) are widely used explainable-by-design models in various applications. GAMs assume that the output can be represented as a sum of univariate functions, referred to as components. However, this assumption fails in ML problems where the output depends on multiple features simultaneously. In these cases, GAMs fail to capture the interaction terms of the underlying function, leading to subpar accuracy. To (partially) address this issue, we propose Regionally Additive Models (RAMs), a novel class of explainable-by-design models. RAMs identify subregions within the feature space where interactions are minimized. Within these regions, it is more accurate to express the output as a sum of univariate functions (components). Consequently, RAMs fit one component per subregion of each feature instead of one component per feature. This approach yields a more expressive model compared to GAMs while retaining interpretability. The RAM framework consists of three steps. Firstly, we train a black-box model. Secondly, using Regional Effect Plots, we identify subregions where the black-box model exhibits near-local additivity. Lastly, we fit a GAM component for each identified subregion. We validate the effectiveness of RAMs through experiments on both synthetic and real-world datasets. The results confirm that RAMs offer improved expressiveness compared to GAMs while maintaining interpretability., Comment: Accepted at ECMLPKDD 2023 Workshop Uncertainty meets Explainability

Published
2023

3. RHALE: Robust and Heterogeneity-aware Accumulated Local Effects

Author

Gkolemis, Vasilis, Dalamagas, Theodore, Ntoutsi, Eirini, and Diou, Christos

Subjects
Computer Science - Machine Learning
Abstract

Accumulated Local Effects (ALE) is a widely-used explainability method for isolating the average effect of a feature on the output, because it handles cases with correlated features well. However, it has two limitations. First, it does not quantify the deviation of instance-level (local) effects from the average (global) effect, known as heterogeneity. Second, for estimating the average effect, it partitions the feature domain into user-defined, fixed-sized bins, where different bin sizes may lead to inconsistent ALE estimations. To address these limitations, we propose Robust and Heterogeneity-aware ALE (RHALE). RHALE quantifies the heterogeneity by considering the standard deviation of the local effects and automatically determines an optimal variable-size bin-splitting. In this paper, we prove that to achieve an unbiased approximation of the standard deviation of local effects within each bin, bin splitting must follow a set of sufficient conditions. Based on these conditions, we propose an algorithm that automatically determines the optimal partitioning, balancing the estimation bias and variance. Through evaluations on synthetic and real datasets, we demonstrate the superiority of RHALE compared to other methods, including the advantages of automatic bin splitting, especially in cases with correlated features., Comment: Accepted at ECAI 2023 (European Conference on Artificial Intelligence)

Published
2023

5. DALE: Differential Accumulated Local Effects for efficient and accurate global explanations

Author

Gkolemis, Vasilis, Dalamagas, Theodore, and Diou, Christos

Subjects
Computer Science - Machine Learning, I.2.0
Abstract

Accumulated Local Effect (ALE) is a method for accurately estimating feature effects, overcoming fundamental failure modes of previously-existed methods, such as Partial Dependence Plots. However, ALE's approximation, i.e. the method for estimating ALE from the limited samples of the training set, faces two weaknesses. First, it does not scale well in cases where the input has high dimensionality, and, second, it is vulnerable to out-of-distribution (OOD) sampling when the training set is relatively small. In this paper, we propose a novel ALE approximation, called Differential Accumulated Local Effects (DALE), which can be used in cases where the ML model is differentiable and an auto-differentiable framework is accessible. Our proposal has significant computational advantages, making feature effect estimation applicable to high-dimensional Machine Learning scenarios with near-zero computational overhead. Furthermore, DALE does not create artificial points for calculating the feature effect, resolving misleading estimations due to OOD sampling. Finally, we formally prove that, under some hypotheses, DALE is an unbiased estimator of ALE and we present a method for quantifying the standard error of the explanation. Experiments using both synthetic and real datasets demonstrate the value of the proposed approach., Comment: 16 pages, to be published in Asian Conference of Machine Learning (ACML) 2023

Published
2022

7. Atrapos: Real-time Evaluation of Metapath Query Workloads

Author

Chatzopoulos, Serafeim, Vergoulis, Thanasis, Skoutas, Dimitrios, Dalamagas, Theodore, Tryfonopoulos, Christos, and Karras, Panagiotis

Subjects
Computer Science - Databases, Computer Science - Information Retrieval
Abstract

Heterogeneous information networks (HINs) represent different types of entities and relationships between them. Exploring, analysing, and extracting knowledge from such networks relies on metapath queries that identify pairs of entities connected by relationships of diverse semantics. While the real-time evaluation of metapath query workloads on large, web-scale HINs is highly demanding in computational cost, current approaches do not exploit interrelationships among the queries. In this paper, we present ATRAPOS, a new approach for the real-time evaluation of metapath query workloads that leverages a combination of efficient sparse matrix multiplication and intermediate result caching. ATRAPOS selects intermediate results to cache and reuse by detecting frequent sub-metapaths among workload queries in real time, using a tailor-made data structure, the Overlap Tree, and an associated caching policy. Our experimental study on real data shows that ATRAPOS accelerates exploratory data analysis and mining on HINs, outperforming off-the-shelf caching approaches and state-of-the-art research prototypes in all examined scenarios. -- Note that this version of our work is more extended than the one presented in TheWebConf 2023 (doi: 10.1145/3543507.3583322), Comment: 13 pages, 19 figures

Published
2022
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8. SCHeMa: Scheduling Scientific Containers on a Cluster of Heterogeneous Machines

Author

Vergoulis, Thanasis, Zagganas, Konstantinos, Kavouras, Loukas, Reczko, Martin, Sartzetakis, Stelios, and Dalamagas, Theodore

Subjects
Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

In the era of data-driven science, conducting computational experiments that involve analysing large datasets using heterogeneous computational clusters, is part of the everyday routine for many scientists. Moreover, to ensure the credibility of their results, it is very important for these analyses to be easily reproducible by other researchers. Although various technologies, that could facilitate the work of scientists in this direction, have been introduced in the recent years, there is still a lack of open source platforms that combine them to this end. In this work, we describe and demonstrate SCHeMa, an open-source platform that facilitates the execution and reproducibility of computational analysis on heterogeneous clusters, leveraging containerization, experiment packaging, workflow management, and machine learning technologies.

Published
2021

9. Simplifying Impact Prediction for Scientific Articles

Author

Vergoulis, Thanasis, Kanellos, Ilias, Giannopoulos, Giorgos, and Dalamagas, Theodore

Subjects
Computer Science - Information Retrieval, Computer Science - Machine Learning
Abstract

Estimating the expected impact of an article is valuable for various applications (e.g., article/cooperator recommendation). Most existing approaches attempt to predict the exact number of citations each article will receive in the near future, however this is a difficult regression analysis problem. Moreover, most approaches rely on the existence of rich metadata for each article, a requirement that cannot be adequately fulfilled for a large number of them. In this work, we take advantage of the fact that solving a simpler machine learning problem, that of classifying articles based on their expected impact, is adequate for many real world applications and we propose a simplified model that can be trained using minimal article metadata. Finally, we examine various configurations of this model and evaluate their effectiveness in solving the aforementioned classification problem.

Published
2020

10. Modeling asset allocation strategies and a new portfolio performance score

Author

Chalkis, Apostolos, Christoforou, Emmanouil, Emiris, Ioannis Z., and Dalamagas, Theodore

Subjects
Quantitative Finance - Portfolio Management, Computer Science - Computational Geometry, Statistics - Applications, 62-08, 51.08, G.3, I.0
Abstract

We discuss and extend a powerful, geometric framework to represent the set of portfolios, which identifies the space of asset allocations with the points lying in a convex polytope. Based on this viewpoint, we survey certain state-of-the-art tools from geometric and statistical computing in order to handle important and difficult problems in digital finance. Although our tools are quite general, in this paper we focus on two specific questions. The first concerns crisis detection, which is of prime interest for the public in general and for policy makers in particular because of the significant impact that crises have on the economy. Certain features in stock markets lead to this type of anomaly detection: Given the assets' returns, we describe the relationship between portfolios' return and volatility by means of a copula, without making any assumption on investor strategies. We examine a recent method relying on copulae to construct an appropriate indicator that allows us to automate crisis detection. On real data, the indicator detects all past crashes in the cryptocurrency market, whereas from the DJ600-Europe index, from 1990 to 2008, the indicator identifies correctly 4 crises and issues one false positive for which we offer an explanation. Our second contribution is to introduce an original computational framework to model asset allocation strategies, which is of independent interest for digital finance and its applications. Our approach addresses the crucial question of evaluating portfolio management, and is relevant to individual managers as well as financial institutions. To evaluate portfolio performance, we provide a new portfolio score, based on the aforementioned framework and concepts. In particular, our score relies on the statistical properties of portfolios, and we show how they can be computed efficiently., Comment: 36 pages, 4 Figures, 8 Tables

Published
2020
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11. Ranking Papers by their Short-Term Scientific Impact

Author

Kanellos, Ilias, Vergoulis, Thanasis, Sacharidis, Dimitris, Dalamagas, Theodore, and Vassiliou, Yannis

Subjects
Computer Science - Digital Libraries, Computer Science - Information Retrieval
Abstract

The constantly increasing rate at which scientific papers are published makes it difficult for researchers to identify papers that currently impact the research field of their interest. Hence, approaches to effectively identify papers of high impact have attracted great attention in the past. In this work, we present a method that seeks to rank papers based on their estimated short-term impact, as measured by the number of citations received in the near future. Similar to previous work, our method models a researcher as she explores the paper citation network. The key aspect is that we incorporate an attention-based mechanism, akin to a time-restricted version of preferential attachment, to explicitly capture a researcher's preference to read papers which received a lot of attention recently. A detailed experimental evaluation on four real citation datasets across disciplines, shows that our approach is more effective than previous work in ranking papers based on their short-term impact.

Published
2020

12. SurvAnnT: Facilitating Community-Led Scientific Surveys and Annotations

Author

Tzerefos, Anargiros, Kanellos, Ilias, Chatzopoulos, Serafeim, Dalamagas, Theodore, Vergoulis, Thanasis, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Silvello, Gianmaria, editor, Corcho, Oscar, editor, Manghi, Paolo, editor, Di Nunzio, Giorgio Maria, editor, Golub, Koraljka, editor, Ferro, Nicola, editor, and Poggi, Antonella, editor

Published
2022
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15. Modeling of Crisis Periods in Stock Markets

Author

Chalkis, Apostolos, Christoforou, Emmanouil, Dalamagas, Theodore, Emiris, Ioannis Z., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Simos, Dimitris E., editor, Pardalos, Panos M., editor, and Kotsireas, Ilias S., editor

Published
2021
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17. ArtSim: Improved Estimation of Current Impact for Recent Articles

Author

Chatzopoulos, Serafeim, Vergoulis, Thanasis, Kanellos, Ilias, Dalamagas, Theodore, Tryfonopoulos, Christos, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Bellatreche, Ladjel, editor, Bieliková, Mária, editor, Boussaïd, Omar, editor, Catania, Barbara, editor, Darmont, Jérôme, editor, Demidova, Elena, editor, Duchateau, Fabien, editor, Hall, Mark, editor, Merčun, Tanja, editor, Novikov, Boris, editor, Papatheodorou, Christos, editor, Risse, Thomas, editor, Romero, Oscar, editor, Sautot, Lucile, editor, Talens, Guilaine, editor, Wrembel, Robert, editor, and Žumer, Maja, editor

Published
2020
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18. VeTo: Expert Set Expansion in Academia

Author

Vergoulis, Thanasis, Chatzopoulos, Serafeim, Dalamagas, Theodore, Tryfonopoulos, Christos, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Hall, Mark, editor, Merčun, Tanja, editor, Risse, Thomas, editor, and Duchateau, Fabien, editor

Published
2020
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19. SciTo Trends: Visualising Scientific Topic Trends

Author

Chatzopoulos, Serafeim, Deligiannis, Panagiotis, Vergoulis, Thanasis, Kanellos, Ilias, Tryfonopoulos, Christos, Dalamagas, Theodore, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Doucet, Antoine, editor, Isaac, Antoine, editor, Golub, Koraljka, editor, Aalberg, Trond, editor, and Jatowt, Adam, editor

Published
2019
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20. A Study on the Readability of Scientific Publications

Author

Vergoulis, Thanasis, Kanellos, Ilias, Tzerefos, Anargiros, Chatzopoulos, Serafeim, Dalamagas, Theodore, Skiadopoulos, Spiros, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Doucet, Antoine, editor, Isaac, Antoine, editor, Golub, Koraljka, editor, Aalberg, Trond, editor, and Jatowt, Adam, editor

Published
2019
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23. Publishing Life Science Data as Linked Open Data: the Case Study of miRBase

Author

Dalamagas, Theodore, Bikakis, Nikos, Papastefanatos, George, Stavrakas, Yannis, and Hatzigeorgiou, Artemis G.

Subjects
Computer Science - Databases
Abstract

This paper presents our Linked Open Data (LOD) infrastructures for genomic and experimental data related to microRNA biomolecules. Legacy data from two well-known microRNA databases with experimental data and observations, as well as change and version information about microRNA entities, are fused and exported as LOD. Our LOD server assists biologists to explore biological entities and their evolution, and provides a SPARQL endpoint for applications and services to query historical miRNA data and track changes, their causes and effects., Comment: Presented at the First International Workshop On Open Data, WOD-2012 (arXiv:1204.3726)

Published
2012

24. Diachronic Linked Data: Towards Long-Term Preservation of Structured Interrelated Information

Author

Stavrakas, Yannis, Papastefanatos, George, Dalamagas, Theodore, and Christophides, Vassilis

Subjects
Computer Science - Databases, Computer Science - Digital Libraries
Abstract

The Linked Data Paradigm is one of the most promising technologies for publishing, sharing, and connecting data on the Web, and offers a new way for data integration and interoperability. However, the proliferation of distributed, inter-connected sources of information and services on the Web poses significant new challenges for managing consistently a huge number of large datasets and their interdependencies. In this paper we focus on the key problem of preserving evolving structured interlinked data. We argue that a number of issues that hinder applications and users are related to the temporal aspect that is intrinsic in linked data. We present a number of real use cases to motivate our approach, we discuss the problems that occur, and propose a direction for a solution., Comment: Presented at the First International Workshop On Open Data, WOD-2012 (http://arxiv.org/abs/1204.3726)

Published
2012

25. FreePub: Collecting and Organizing Scientific Material Using Mindmaps

Author

Dalamagas, Theodore, Farmakakis, Tryfon, Maragkakis, Manolis, and Hatzigeorgiou, Artemis

Subjects
Computer Science - Human-Computer Interaction, J.3
Abstract

This paper presents a creativity support tool, called FreePub, to collect and organize scientific material using mindmaps. Mindmaps are visual, graph-based represenations of concepts, ideas, notes, tasks, etc. They generally take a hierarchical or tree branch format, with ideas branching into their subsections. FreePub supports creativity cycles. A user starts such a cycle by setting up her domain of interest using mindmaps. Then, she can browse mindmaps and launch search tasks to gather relevant publications from several data sources. FreePub, besides publications, identifies helpful supporting material (e.g., blog posts, presentations). All retrieved information from FreePub can be imported and organized in mindmaps. FreePub has been fully implemented on top of FreeMind, a popular open-source, mindmapping tool., Comment: in Adrian Paschke, Albert Burger, Andrea Splendiani, M. Scott Marshall, Paolo Romano: Proceedings of the 3rd International Workshop on Semantic Web Applications and Tools for the Life Sciences, Berlin,Germany, December 8-10, 2010

Published
2010

32. MirPub v2: Towards Ranking and Refining miRNA Publication Search Results

Author

Kanellos, Ilias, Vlachokyriakou, Vasiliki, Vergoulis, Thanasis, Georgakilas, Georgios, Vassiliou, Yannis, Hatzigeorgiou, Artemis K., Dalamagas, Theodore, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Kapidakis, Sarantos, editor, Mazurek, Cezary, editor, and Werla, Marcin, editor

Published
2015
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33. Keywords-To-SPARQL Translation for RDF Data Search and Exploration

Author

Gkirtzou, Katerina, Karozos, Kostis, Vassalos, Vasilis, Dalamagas, Theodore, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Kapidakis, Sarantos, editor, Mazurek, Cezary, editor, and Werla, Marcin, editor

Published
2015
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34. RDivF: Diversifying Keyword Search on RDF Graphs

Author

Bikakis, Nikos, Giannopoulos, Giorgos, Liagouris, John, Skoutas, Dimitrios, Dalamagas, Theodore, Sellis, Timos, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Aalberg, Trond, editor, Papatheodorou, Christos, editor, Dobreva, Milena, editor, Tsakonas, Giannis, editor, and Farrugia, Charles J., editor

Published
2013
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35. TARCLOUD: A Cloud-Based Platform to Support miRNA Target Prediction

Author

Vergoulis, Thanasis, Alexakis, Michail, Dalamagas, Theodore, Maragkakis, Manolis, Hatzigeorgiou, Artemis G., Sellis, Timos, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Ailamaki, Anastasia, editor, and Bowers, Shawn, editor

Published
2012
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36. Search Behavior-Driven Training for Result Re-Ranking

Author

Giannopoulos, Giorgos, Dalamagas, Theodore, Sellis, Timos, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Gradmann, Stefan, editor, Borri, Francesca, editor, Meghini, Carlo, editor, and Schuldt, Heiko, editor

Published
2011
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37. Dynamic Pickup and Delivery with Transfers

Author

Bouros, Panagiotis, Sacharidis, Dimitris, Dalamagas, Theodore, Sellis, Timos, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Pfoser, Dieter, editor, Tao, Yufei, editor, Mouratidis, Kyriakos, editor, Nascimento, Mario A., editor, Mokbel, Mohamed, editor, Shekhar, Shashi, editor, and Huang, Yan, editor

Published
2011
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38. Integrating Keywords and Semantics on Document Annotation and Search

Author

Bikakis, Nikos, Giannopoulos, Giorgos, Dalamagas, Theodore, Sellis, Timos, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Meersman, Robert, editor, Dillon, Tharam, editor, and Herrero, Pilar, editor

Published
2010
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39. GoNTogle: A Tool for Semantic Annotation and Search

Author

Giannopoulos, Giorgos, Bikakis, Nikos, Dalamagas, Theodore, Sellis, Timos, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Aroyo, Lora, editor, Antoniou, Grigoris, editor, Hyvönen, Eero, editor, ten Teije, Annette, editor, Stuckenschmidt, Heiner, editor, Cabral, Liliana, editor, and Tudorache, Tania, editor

Published
2010
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40. Evaluating Reachability Queries over Path Collections

Author

Bouros, Panagiotis, Skiadopoulos, Spiros, Dalamagas, Theodore, Sacharidis, Dimitris, Sellis, Timos, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, and Winslett, Marianne, editor

Published
2009
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41. Efficient Evaluation of Generalized Tree-Pattern Queries with Same-Path Constraints

Author

Wu, Xiaoying, Theodoratos, Dimitri, Souldatos, Stefanos, Dalamagas, Theodore, Sellis, Timos, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, and Winslett, Marianne, editor

Published
2009
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42. Application of the Peer-to-Peer Paradigm in Digital Libraries

Author

Viglas, Stratis D., Dalamagas, Theodore, Christophides, Vassilis, Sellis, Timos, Dimitriou, Aggeliki, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Thanos, Costantino, editor, Borri, Francesca, editor, and Candela, Leonardo, editor

Published
2007
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43. NaviMoz: Mining Navigational Patterns in Portal Catalogs

Author

Christodoulou, Eleni, Dalamagas, Theodore, Sellis, Timos, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Grust, Torsten, editor, Höpfner, Hagen, editor, Illarramendi, Arantza, editor, Jablonski, Stefan, editor, Mesiti, Marco, editor, Müller, Sascha, editor, Patranjan, Paula-Lavinia, editor, Sattler, Kai-Uwe, editor, Spiliopoulou, Myra, editor, and Wijsen, Jef, editor

Published
2006
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44. SDQNET: Semantic Distributed Querying in Loosely Coupled Data Sources

Author

Spyropoulou, Eirini, Dalamagas, Theodore, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Manolopoulos, Yannis, editor, Pokorný, Jaroslav, editor, and Sellis, Timos K., editor

Published
2006
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45. Querying Tree-Structured Data Using Dimension Graphs

Author

Theodoratos, Dimitri, Dalamagas, Theodore, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Pastor, Oscar, editor, and Falcão e Cunha, João, editor

Published
2005
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46. RDFSculpt: Managing RDF Schemas Under Set-Like Semantics

Author

Kaoudi, Zoi, Dalamagas, Theodore, Sellis, Timos, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Gómez-Pérez, Asunción, editor, and Euzenat, Jérôme, editor

Published
2005
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47. Semantic Integration of Tree-Structured Data Using Dimension Graphs

Author

Dalamagas, Theodore, Theodoratos, Dimitri, Koufopoulos, Antonis, Liu, I-Ting, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, and Spaccapietra, Stefano, editor

Published
2005
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48. An Overview of Web Data Clustering Practices

Author

Vakali, Athena, Pokorný, Jaroslav, Dalamagas, Theodore, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Lindner, Wolfgang, editor, Mesiti, Marco, editor, Türker, Can, editor, Tzitzikas, Yannis, editor, and Vakali, Athena I., editor

Published
2005
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49. Clustering XML Documents Using Structural Summaries

Author

Dalamagas, Theodore, Cheng, Tao, Winkel, Klaas-Jan, Sellis, Timos, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Lindner, Wolfgang, editor, Mesiti, Marco, editor, Türker, Can, editor, Tzitzikas, Yannis, editor, and Vakali, Athena I., editor

Published
2005
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50. Clustering XML Documents by Structure

Author

Dalamagas, Theodore, Cheng, Tao, Winkel, Klaas-Jan, Sellis, Timos, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Carbonell, Jaime G., editor, Siekmann, Jörg, editor, Vouros, George A., editor, and Panayiotopoulos, Themistoklis, editor

Published
2004
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