164 citations
- G. Paliouras9 · h 43
- V. Karkaletsis8 · h 32
- A. Artikis5 · h 35
- Ion Androutsopoulos5 · h 48
- A. Charalambidis3 · h 9
- Anastasia Krithara3 · h 22
- A. Nentidis3 · h 17
- Antonis Troumpoukis3 · h 6
- K. Bougiatiotis3 · h 11
- Panagiotis Stamatopoulos3 · h 15
- Stergos D. Afantenos3 · h 16
- Anastasios Skarlatidis2 profiles2 · h 9
- National Centre of Scientific Research "Demokritos"GR29 papers
- National and Kapodistrian University of AthensGR8 papers
- University of PiraeusGR6 papers
- Institute of Informatics of the Slovak Academy of SciencesSK3 papers
- National Technical University of AthensGR3 papers
- Aristotle University of ThessalonikiGR2 papers
- Alzheimer’s Research UKGB1 paper
- Athens Technology Center (Greece)GR1 paper
- Athens University of Economics and BusinessGR1 paper
- Barcelona Supercomputing CenterES1 paper
- Centre for Genomic RegulationES1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
30 papers
iASiS: Towards Heterogeneous Big Data Analysis for Personalized Medicine
Anastasia Krithara, Fotis Aisopos, Vassiliki Rentoumi +14
The vision of IASIS project is to turn the wave of big biomedical data heading our way into actionable knowledge for decision makers. This is achieved by integrating data from disp…
Financial misstatement detection: a realistic evaluation
Elias Zavitsanos, Dimitris Mavroeidis, Konstantinos Bougiatiotis +3
In this work, we examine the evaluation process for the task of detecting financial reports with a high risk of containing a misstatement. This task is often referred to, in the li…
Large-scale investigation of weakly-supervised deep learning for the fine-grained semantic indexing of biomedical literature
Anastasios Nentidis, Thomas Chatzopoulos, Anastasia Krithara +2
Objective: Semantic indexing of biomedical literature is usually done at the level of MeSH descriptors with several related but distinct biomedical concepts often grouped together…
A geospatial source selector for federated GeoSPARQL querying
Antonis Troumpoukis, Stasinos Konstantopoulos, Nefeli Prokopaki-Kostopoulou
Background: Geospatial linked data brings into the scope of the Semantic Web and its technologies, a wealth of datasets that combine semantically-rich descriptions of resources wit…
Developing Machine-Learned Potentials for Coarse-Grained Molecular Simulations: Challenges and Pitfalls
Eleonora Ricci, George Giannakopoulos, Vangelis Karkaletsis +2
Coarse graining (CG) enables the investigation of molecular properties for larger systems and at longer timescales than the ones attainable at the atomistic resolution. Machine lea…
Investigation of Machine Learning-based Coarse-Grained Mapping Schemes for Organic Molecules
Dimitris Nasikas, Eleonora Ricci, George Giannakopoulos +3
Due to the wide range of timescales that are present in macromolecular systems, hierarchical multiscale strategies are necessary for their computational study. Coarse-graining (CG)…