Zobrazeno 1 - 10
of 137
pro vyhledávání: '"Dalamagas Theodore"'
Autor:
Gkolemis, Vasilis, Diou, Christos, Ntoutsi, Eirini, Dalamagas, Theodore, Bischl, Bernd, Herbinger, Julia, Casalicchio, Giuseppe
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 l
Externí odkaz:
http://arxiv.org/abs/2404.02629
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
Externí odkaz:
http://arxiv.org/abs/2309.12215
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 t
Externí odkaz:
http://arxiv.org/abs/2309.11193
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 A
Externí odkaz:
http://arxiv.org/abs/2210.04542
Autor:
Chatzopoulos, Serafeim, Vergoulis, Thanasis, Skoutas, Dimitrios, Dalamagas, Theodore, Tryfonopoulos, Christos, Karras, Panagiotis
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
Externí odkaz:
http://arxiv.org/abs/2201.04058
Autor:
Vergoulis, Thanasis, Zagganas, Konstantinos, Kavouras, Loukas, Reczko, Martin, Sartzetakis, Stelios, Dalamagas, Theodore
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 thei
Externí odkaz:
http://arxiv.org/abs/2103.13138
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, howev
Externí odkaz:
http://arxiv.org/abs/2012.15192
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 fr
Externí odkaz:
http://arxiv.org/abs/2012.05088
Autor:
Kanellos, Ilias, Vergoulis, Thanasis, Sacharidis, Dimitris, Dalamagas, Theodore, Vassiliou, Yannis
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
Externí odkaz:
http://arxiv.org/abs/2006.00951
Autor:
Simossis Victor A, Kourtis Kornilios, Koukis Evangelos, Goumas George, Giannopoulos George, Dalamagas Theodore, Reczko Martin, Papadopoulos Giorgio L, Alexiou Panagiotis, Maragkakis Manolis, Sethupathy Praveen, Vergoulis Thanasis, Koziris Nectarios, Sellis Timos, Tsanakas Panagiotis, Hatzigeorgiou Artemis G
Publikováno v:
BMC Bioinformatics, Vol 10, Iss 1, p 295 (2009)
Abstract Background MicroRNAs are small endogenously expressed non-coding RNA molecules that regulate target gene expression through translation repression or messenger RNA degradation. MicroRNA regulation is performed through pairing of the microRNA
Externí odkaz:
https://doaj.org/article/16b79c687bf5444b8fc10de8c4a4f042
