National Technical University of Athens

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The National Technical University of Athens (NTUA) is the oldest and most famous educational institution in Greece in the field of technology and has contributed greatly to the scientific, technical and economic development of the country since its foundation in 1836...

A Unified Deep Learning Approach for Prediction of Parkinson's Disease

The paper presents a novel approach, based on deep learning, for diagnos...
11/25/2019 ∙ by James Wingate, et al. ∙ 27 ∙ share

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Shallow Water Bathymetry Mapping from UAV Imagery based on Machine Learning

The determination of accurate bathymetric information is a key element f...
02/27/2019 ∙ by Panagiotis Agrafiotis, et al. ∙ 10 ∙ share

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Fusing Body Posture with Facial Expressions for Joint Recognition of Affect in Child-Robot Interaction

In this paper we address the problem of multi-cue affect recognition in ...
01/07/2019 ∙ by Panagiotis P. Filntisis, et al. ∙ 4 ∙ share

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A linear method for camera pair self-calibration and multi-view reconstruction with geometrically verified correspondences

We examine 3D reconstruction of architectural scenes in unordered sets o...
06/28/2019 ∙ by Nikos Melanitis, et al. ∙ 4 ∙ share

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Multimodal Visual Concept Learning with Weakly Supervised Techniques

Despite the availability of a huge amount of video data accompanied by d...
12/03/2017 ∙ by Giorgos Bouritsas, et al. ∙ 0 ∙ share

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Structural Attention Neural Networks for improved sentiment analysis

We introduce a tree-structured attention neural network for sentences an...
01/07/2017 ∙ by Filippos Kokkinos, et al. ∙ 0 ∙ share

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A Finite Element Computational Framework for Active Contours on Graphs

In this paper we present a new framework for the solution of active cont...
10/12/2017 ∙ by Nikolaos Kolotouros, et al. ∙ 0 ∙ share

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Online Event Recognition from Moving Vessel Trajectories

We present a system for online monitoring of maritime activity over stre...
01/22/2016 ∙ by Kostas Patroumpas, et al. ∙ 0 ∙ share

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Answering Fuzzy Conjunctive Queries over Finitely Valued Fuzzy Ontologies

Fuzzy Description Logics (DLs) provide a means for representing vague kn...
08/11/2015 ∙ by Stefan Borgwardt, et al. ∙ 0 ∙ share

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Global Vertices and the Noising Paradox

A theoretical and experimental analysis related to the identification of...
08/02/2016 ∙ by Konstantinos A. Raftopoulos, et al. ∙ 0 ∙ share

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Data-Driven Background Subtraction Algorithm for in-Camera Acceleration in Thermal Imagery

Detection of moving objects in videos is a crucial step towards successf...
07/31/2016 ∙ by Konstantinos Makantasis, et al. ∙ 0 ∙ share

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Incremental Noising and its Fractal Behavior

This manuscript is about further elucidating the concept of noising. The...
07/28/2016 ∙ by Konstantinos A. Raftopoulos, et al. ∙ 0 ∙ share

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Optimization in Differentiable Manifolds in Order to Determine the Method of Construction of Prehistoric Wall-Paintings

In this paper a general methodology is introduced for the determination ...
10/09/2012 ∙ by Dimitris Arabadjis, et al. ∙ 0 ∙ share

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Reasoning with Very Expressive Fuzzy Description Logics

It is widely recognized today that the management of imprecision and vag...
10/31/2011 ∙ by I. Horrocks, et al. ∙ 0 ∙ share

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Variational Inference for Background Subtraction in Infrared Imagery

We propose a Gaussian mixture model for background subtraction in infrar...
06/29/2015 ∙ by Konstantinos Makantasis, et al. ∙ 0 ∙ share

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Performance Analysis and Optimization of Sparse Matrix-Vector Multiplication on Modern Multi- and Many-Core Processors

This paper presents a low-overhead optimizer for the ubiquitous sparse m...
11/15/2017 ∙ by Athena Elafrou, et al. ∙ 0 ∙ share

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Multimodal Signal Processing and Learning Aspects of Human-Robot Interaction for an Assistive Bathing Robot

We explore new aspects of assistive living on smart human-robot interact...
11/06/2017 ∙ by A. Zlatintsi, et al. ∙ 0 ∙ share

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Joining Local Knowledge to Communicate Reliably (Extended Abstract)

A fundamental primitive in distributed computing is Reliable Message Tra...
11/06/2017 ∙ by Aris Pagourtzis, et al. ∙ 0 ∙ share

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A Decision Tree Based Approach Towards Adaptive Profiling of Distributed Applications

The adoption of the distributed paradigm has allowed applications to inc...
04/10/2017 ∙ by Ioannis Giannakopoulos, et al. ∙ 0 ∙ share

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Skyline Queries in O(1) time?

The skyline of a set P of points (SKY(P)) consists of the "best" points ...
09/12/2017 ∙ by Spyros Sioutas, et al. ∙ 0 ∙ share

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Simple Compact Monotone Tree Drawings

A monotone drawing of a graph G is a straight-line drawing of G such tha...
08/31/2017 ∙ by Anargyros Oikonomou, et al. ∙ 0 ∙ share

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Planar Drawings of Fixed-Mobile Bigraphs

A fixed-mobile bigraph G is a bipartite graph such that the vertices of ...
08/30/2017 ∙ by Michael Bekos, et al. ∙ 0 ∙ share

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Validating Intelligent Power and Energy Systems - A Discussion of Educational Needs

Traditional power systems education and training is flanked by the deman...
10/06/2017 ∙ by Panos Kotsampopoulos, et al. ∙ 0 ∙ share

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Social Event Scheduling

A major challenge for social event organizers (e.g., event planning comp...
01/30/2018 ∙ by Nikos Bikakis, et al. ∙ 0 ∙ share

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Dynamically Efficient Kinematics for Hyper-Redundant Manipulators

A hyper-redundant robotic arm is a manipulator with many degrees of free...
03/10/2018 ∙ by Marios P. Xanthidis, et al. ∙ 0 ∙ share

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A Faster FPTAS for the Subset-Sums Ratio Problem

The Subset-Sums Ratio problem (SSR) is an optimization problem in which,...
03/27/2018 ∙ by Nikolaos Melissinos, et al. ∙ 0 ∙ share

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SPAIDS and OAMS Models in Wireless Ad Hoc Networks

In this paper, we present two randomized distributed algorithms in wirel...
05/13/2018 ∙ by Aikaterini Nikolidaki, et al. ∙ 0 ∙ share

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Pattern Search MDS

We present a novel view of nonlinear manifold learning using derivative-...
06/01/2018 ∙ by Georgios Paraskevopoulos, et al. ∙ 0 ∙ share

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A New Theoretical Evaluation Framework for Satisfaction Equilibria in Wireless Networks

In this paper, a theoretical evaluation framework regarding the Satisfac...
06/05/2018 ∙ by Michail Fasoulakis, et al. ∙ 0 ∙ share

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Pattern Search Multidimensional Scaling

We present a novel view of nonlinear manifold learning using derivative-...
06/01/2018 ∙ by Georgios Paraskevopoulos, et al. ∙ 0 ∙ share

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Drawing a Rooted Tree as a Rooted y-Monotone Minimum Spanning Tree

Given a rooted point set P, the rooted y-Monotone Minimum Spanning Tree ...
06/12/2018 ∙ by Konstantinos Mastakas, et al. ∙ 0 ∙ share

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Uniform 2D-Monotone Minimum Spanning Graphs

A geometric graph G is xy-monotone if each pair of vertices of G is conn...
06/22/2018 ∙ by Konstantinos Mastakas, et al. ∙ 0 ∙ share

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A Simple Network of Nodes Moving on the Circle

Two simple Markov processes are examined, one in discrete and one in con...
08/11/2018 ∙ by Dimitris Cheliotis, et al. ∙ 0 ∙ share

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NTUA-SLP at IEST 2018: Ensemble of Neural Transfer Methods for Implicit Emotion Classification

In this paper we present our approach to tackle the Implicit Emotion Sha...
09/03/2018 ∙ by Alexandra Chronopoulou, et al. ∙ 0 ∙ share

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A Bridge between Liquid and Social Welfare in Combinatorial Auctions with Submodular Bidders

We study incentive compatible mechanisms for Combinatorial Auctions wher...
09/06/2018 ∙ by Dimitris Fotakis, et al. ∙ 0 ∙ share

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Tropical Modeling of Weighted Transducer Algorithms on Graphs

Weighted Finite State Transducers (WFSTs) are versatile data structures ...
11/01/2018 ∙ by Emmanouil Theodosis, et al. ∙ 0 ∙ share

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Planar Graphs of Bounded Degree have Constant Queue Number

A queue layout of a graph consists of a linear order of its vertices and...
11/02/2018 ∙ by Michael A. Bekos, et al. ∙ 0 ∙ share

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An Adaptive Pruning Algorithm for Spoofing Localisation Based on Tropical Geometry

The problem of spoofing attacks is increasingly relevant as digital syst...
11/01/2018 ∙ by Emmanouil Theodosis, et al. ∙ 0 ∙ share

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Integrating Recurrence Dynamics for Speech Emotion Recognition

We investigate the performance of features that can capture nonlinear re...
11/09/2018 ∙ by Efthymios Tzinis, et al. ∙ 0 ∙ share

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Improved Frequency Modulation Features for Multichannel Distant Speech Recognition

Frequency modulation features capture the fine structure of speech forma...
11/23/2018 ∙ by Isidoros Rodomagoulakis, et al. ∙ 0 ∙ share

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SUSiNet: See, Understand and Summarize it

In this work we propose a multi-task spatio-temporal network, called SUS...
12/03/2018 ∙ by Petros Koutras, et al. ∙ 0 ∙ share

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A Deep Learning Approach for Multi-View Engagement Estimation of Children in a Child-Robot Joint Attention task

In this work we tackle the problem of child engagement estimation while ...
12/01/2018 ∙ by Jack Hadfield, et al. ∙ 0 ∙ share

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On-line Human Gait Stability Prediction using LSTMs for the fusion of Deep-based Pose Estimation and LRF-based Augmented Gait State Estimation in an Intelligent Robotic Rollato

In this work we present a novel Long Short Term Memory (LSTM) based on-l...
12/01/2018 ∙ by Georgia Chalvatzaki, et al. ∙ 0 ∙ share

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Playing with and against Hedge

Hedge has been proposed as an adaptive scheme, which guides an agent's d...
11/20/2018 ∙ by Miltiades E. Anagnostou, et al. ∙ 0 ∙ share

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Detecting Adversarial Examples in Convolutional Neural Networks

The great success of convolutional neural networks has caused a massive ...
12/08/2018 ∙ by Stefanos Pertigkiozoglou, et al. ∙ 0 ∙ share

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Predicting Parkinson's Disease using Latent Information extracted from Deep Neural Networks

This paper presents a new method for medical diagnosis of neurodegenerat...
01/23/2019 ∙ by Ilianna Kollia, et al. ∙ 0 ∙ share

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Parameterized Fine-Grained Reductions

During recent years the field of fine-grained complexity has bloomed to ...
02/14/2019 ∙ by Elli Anastasiadi, et al. ∙ 0 ∙ share

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Deeply Supervised Multimodal Attentional Translation Embeddings for Visual Relationship Detection

Detecting visual relationships, i.e. <Subject, Predicate, Object> triple...
02/15/2019 ∙ by Nikolaos Gkanatsios, et al. ∙ 0 ∙ share

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An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models

A growing number of state-of-the-art transfer learning methods employ la...
02/27/2019 ∙ by Alexandra Chronopoulou, et al. ∙ 0 ∙ share

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Deep Learning in Cardiology

The medical field is creating large amount of data that physicians are u...
02/22/2019 ∙ by Paschalis Bizopoulos, et al. ∙ 0 ∙ share

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