Search Results for author: Vangelis Karkaletsis

Found 11 papers, 3 papers with code

Developing Machine-Learned Potentials for Coarse-Grained Molecular Simulations: Challenges and Pitfalls

no code implementations26 Sep 2022 Eleonora Ricci, George Giannakopoulos, Vangelis Karkaletsis, Doros N. Theodorou, Niki Vergadou

Coarse graining (CG) enables the investigation of molecular properties for larger systems and at longer timescales than the ones attainable at the atomistic resolution.

Investigation of Machine Learning-based Coarse-Grained Mapping Schemes for Organic Molecules

no code implementations26 Sep 2022 Dimitris Nasikas, Eleonora Ricci, George Giannakopoulos, Vangelis Karkaletsis, Doros N. Theodorou, Niki Vergadou

Due to the wide range of timescales that are present in macromolecular systems, hierarchical multiscale strategies are necessary for their computational study.

Evidence Transfer for Improving Clustering Tasks Using External Categorical Evidence

1 code implementation9 Nov 2018 Athanasios Davvetas, Iraklis A. Klampanos, Vangelis Karkaletsis

In this paper we introduce evidence transfer for clustering, a deep learning method that can incrementally manipulate the latent representations of an autoencoder, according to external categorical evidence, in order to improve a clustering outcome.

Clustering Representation Learning

ANNETT-O: An Ontology for Describing Artificial Neural Network Evaluation, Topology and Training

1 code implementation7 Apr 2018 Iraklis A. Klampanos, Athanasios Davvetas, Antonis Koukourikos, Vangelis Karkaletsis

Deep learning models, while effective and versatile, are becoming increasingly complex, often including multiple overlapping networks of arbitrary depths, multiple objectives and non-intuitive training methodologies.

CLARIN-EL Web-based Annotation Tool

1 code implementation LREC 2016 Ioannis Manousos Katakis, Georgios Petasis, Vangelis Karkaletsis

This paper presents a new Web-based annotation tool, the {``}CLARIN-EL Web-based Annotation Tool{''}.

Cloud Computing

NOMAD: Linguistic Resources and Tools Aimed at Policy Formulation and Validation

no code implementations LREC 2014 George Kiomourtzis, George Giannakopoulos, Georgios Petasis, Pythagoras Karampiperis, Vangelis Karkaletsis

The NOMAD project (Policy Formulation and Validation through non Moderated Crowd-sourcing) is a project that supports policy making, by providing rich, actionable information related to how citizens perceive different policies.

Retrieval Sentiment Analysis +2

Task-Driven Linguistic Analysis based on an Underspecified Features Representation

no code implementations LREC 2012 Stasinos Konstantopoulos, Valia Kordoni, Nicola Cancedda, Vangelis Karkaletsis, Dietrich Klakow, Jean-Michel Renders

In this paper we explore a task-driven approach to interfacing NLP components, where language processing is guided by the end-task that each application requires.

Evaluation of Online Dialogue Policy Learning Techniques

no code implementations LREC 2012 Alex Papangelis, ros, Vangelis Karkaletsis, Fillia Makedon

The number of applied Dialogue Systems is ever increasing in several service providing and other applications as a way to efficiently and inexpensively serve large numbers of customers.

Dialogue Management Management +3

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