User profiles for Ilianna Kollia

Ilianna Kollia

National Technical University of Athens,IBM
Verified email at mail.ntua.gr
Cited by 781

SPARQL query answering over OWL ontologies

I Kollia, B Glimm, I Horrocks - … , ESWC 2011, Heraklion, Crete, Greece, May …, 2011 - Springer
The SPARQL query language is currently being extended by W3C with so-called entailment
regimes, which define how queries are evaluated under more expressive semantics than …

Deep transparent prediction through latent representation analysis

…, Y Vlaxos, V Brillakis, M Seferis, I Kollia… - arXiv preprint arXiv …, 2020 - arxiv.org
The paper presents a novel deep learning approach, which extracts latent information from
trained Deep Neural Networks (DNNs) and derives concise representations that are …

Transparent adaptation in deep medical image diagnosis

D Kollias, Y Vlaxos, M Seferis, I Kollia… - … AI-Integrating Learning …, 2021 - Springer
The paper presents a novel deep learning approach, which extracts latent information from
trained Deep Neural Networks (DNNs) and derives concise representations that are …

Predicting Parkinson's disease using latent information extracted from deep neural networks

I Kollia, AG Stafylopatis, S Kollias - 2019 International Joint …, 2019 - ieeexplore.ieee.org
This paper presents a new method for medical diagnosis of neurodegenerative diseases, such
as Parkinson's, by extracting and using latent information from trained Deep convolutional…

Unified deep learning approach for prediction of Parkinson's disease

J Wingate, I Kollia, L Bidaut, S Kollias - IET Image Processing, 2020 - Wiley Online Library
The study presents a novel approach, based on deep learning, for diagnosis of Parkinson's
disease through medical imaging. The approach includes analysis and use of the …

Optimizing SPARQL query answering over OWL ontologies

I Kollia, B Glimm - Journal of artificial intelligence research, 2013 - jair.org
The SPARQL query language is currently being extended by the World Wide Web Consortium
(W3C) with so-called entailment regimes. An entailment regime defines how queries are …

Ai-enabled efficient and safe food supply chain

I Kollia, J Stevenson, S Kollias - Electronics, 2021 - mdpi.com
This paper provides a review of an emerging field in the food processing sector, referring to
efficient and safe food supply chains, ’from farm to fork’, as enabled by Artificial Intelligence (…

A systemic approach for effective semantic access to cultural content

I Kollia, V Tzouvaras, N Drosopoulos… - Semantic Web, 2012 - content.iospress.com
A large on-going activity for digitization, dissemination and preservation of cultural heritage
is taking place in Europe and the United States, which involves all types of cultural institutions…

A deep learning approach for load demand forecasting of power systems

I Kollia, S Kollias - 2018 IEEE Symposium Series on …, 2018 - ieeexplore.ieee.org
Power load forecasting has been an important problem in which machine learning and neural
networks have been largely studied, providing effective solutions. Nevertheless, there are …

Optimizing query answering over expressive ontological knowledge

IS Kollia - 2014 - dspace.lib.ntua.gr
Query answering over ontologies, ie, the computation of answers to user queries based not
only on explicitly stated information but also on implicit knowledge is an important task in the …