ARISTOTLE UNIVERSITY OF THESSALONIKI

∙ Thessaloniki , Greece ∙ 0 followers

Aristotle University of Thessaloniki was founded in 1924. The University offers bachelor, graduate, and doctorate programs of study in philosophy, science, law, economics, theology, engineering, and other areas.

Three-Filters-to-Normal: An Accurate and Ultrafast Surface Normal Estimator

Over the past decade, significant efforts have been made to improve the ...
05/17/2020 ∙ by Rui Fan, et al. ∙ 18 ∙ share

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Rethinking Road Surface 3D Reconstruction and Pothole Detection: From Perspective Transformation to Disparity Map Segmentation

Potholes are one of the most common forms of road damage, which can seve...
12/19/2020 ∙ by Rui Fan, et al. ∙ 9 ∙ share

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Style Decomposition for Improved Neural Style Transfer

Universal Neural Style Transfer (NST) methods are capable of performing ...
11/30/2018 ∙ by Paraskevas Pegios, et al. ∙ 8 ∙ share

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Bag of Color Features For Color Constancy

In this paper, we propose a novel color constancy approach, called Bag o...
06/11/2019 ∙ by Firas Laakom, et al. ∙ 4 ∙ share

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Pothole Detection Based on Disparity Transformation and Road Surface Modeling

Pothole detection is one of the most important tasks for road maintenanc...
08/02/2019 ∙ by Rui Fan, et al. ∙ 3 ∙ share

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Learning to Teach Reinforcement Learning Agents

In this article we study the transfer learning model of action advice un...
07/28/2017 ∙ by Anestis Fachantidis, et al. ∙ 0 ∙ share

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Inducing Generalized Multi-Label Rules with Learning Classifier Systems

In recent years, multi-label classification has attracted a significant ...
12/25/2015 ∙ by Fani A. Tzima, et al. ∙ 0 ∙ share

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Learning Local Feature Aggregation Functions with Backpropagation

This paper introduces a family of local feature aggregation functions an...
06/26/2017 ∙ by Angelos Katharopoulos, et al. ∙ 0 ∙ share

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Measuring #GamerGate: A Tale of Hate, Sexism, and Bullying

Over the past few years, online aggression and abusive behaviors have oc...
02/24/2017 ∙ by Despoina Chatzakou, et al. ∙ 0 ∙ share

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Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks

Convolutional Neural Networks (CNNs) are well established models capable...
07/25/2017 ∙ by Nikolaos Passalis, et al. ∙ 0 ∙ share

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An Argument-based Creative Assistant for Harmonic Blending

Conceptual blending is a powerful tool for computational creativity wher...
03/06/2016 ∙ by Maximos Kaliakatsos-Papakostas, et al. ∙ 0 ∙ share

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Photo-Quality Evaluation based on Computational Aesthetics: Review of Feature Extraction Techniques

Researchers try to model the aesthetic quality of photographs into low a...
12/19/2016 ∙ by Dimitris Spathis, et al. ∙ 0 ∙ share

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Granger Causality in Multi-variate Time Series using a Time Ordered Restricted Vector Autoregressive Model

Granger causality has been used for the investigation of the inter-depen...
11/11/2015 ∙ by Elsa Siggiridou, et al. ∙ 0 ∙ share

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The Stochastic Gradient Descent for the Primal L1-SVM Optimization Revisited

We reconsider the stochastic (sub)gradient approach to the unconstrained...
04/23/2013 ∙ by Constantinos Panagiotakopoulos, et al. ∙ 0 ∙ share

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Dense Distributions from Sparse Samples: Improved Gibbs Sampling Parameter Estimators for LDA

We introduce a novel approach for estimating Latent Dirichlet Allocation...
05/08/2015 ∙ by Yannis Papanikolaou, et al. ∙ 0 ∙ share

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Open Source Software: How Can Design Metrics Facilitate Architecture Recovery?

Modern software development methodologies include reuse of open source c...
10/10/2011 ∙ by Eleni Constantinou, et al. ∙ 0 ∙ share

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Backward-in-Time Selection of the Order of Dynamic Regression Prediction Model

We investigate the optimal structure of dynamic regression models used i...
01/11/2013 ∙ by Ioannis Vlachos, et al. ∙ 0 ∙ share

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A Variation of the Box-Counting Algorithm Applied to Colour Images

The box counting method for fractal dimension estimation had not been ap...
07/12/2011 ∙ by N. S. Nikolaidis, et al. ∙ 0 ∙ share

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Local Word Vectors Guiding Keyphrase Extraction

Automated keyphrase extraction is a fundamental textual information proc...
10/20/2017 ∙ by Eirini Papagiannopoulou, et al. ∙ 0 ∙ share

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Core Discovery in Hidden Graphs

Massive network exploration is an important research direction with many...
12/07/2017 ∙ by Panagiotis Strouthopoulos, et al. ∙ 0 ∙ share

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Metric Map Merging using RFID Tags & Topological Information

A map merging component is crucial for the proper functionality of a mul...
11/17/2017 ∙ by Emmanouil Tsardoulias, et al. ∙ 0 ∙ share

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Impact and Productivity of PhD Graduates of Computer Science/Engineering Departments of Hellenic Universities

This article presents an anatomy of PhD programmes in Hellenic universit...
07/18/2017 ∙ by Dimitrios Katsaros, 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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MK-fuzzy Automata and MSO Logics

We introduce MK-fuzzy automata over a bimonoid K which is related to the...
09/07/2017 ∙ by Manfred Droste, et al. ∙ 0 ∙ share

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Secure Communications in NOMA System: Subcarrier Assignment and Power Allocation

Secure communication is a promising technology for wireless networks bec...
01/13/2018 ∙ by Haijun Zhang, et al. ∙ 0 ∙ share

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A Unified Deep Learning Architecture for Abuse Detection

Hate speech, offensive language, sexism, racism and other types of abusi...
02/01/2018 ∙ by Antigoni-Maria Founta, et al. ∙ 0 ∙ share

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Resource Allocation in NOMA based Fog Radio Access Networks

In the wake of growth in intelligent mobile devices and wide usage of ba...
03/15/2018 ∙ by H. Zhang, et al. ∙ 0 ∙ share

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Physical Layer Security in the Presence of Interference

We evaluate and quantify the joint effect of fading and multiple interfe...
03/24/2018 ∙ by Dimitrios S. Karas, et al. ∙ 0 ∙ share

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Spectrum Sensing with Multiple Primary Users over Fading Channels

We investigate the impact of multiple primary users (PUs) and fading on ...
03/24/2018 ∙ by Alexandros-Apostolos A. Boulogeorgos, et al. ∙ 0 ∙ share

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Probabilistic Knowledge Transfer for Deep Representation Learning

Knowledge Transfer (KT) techniques tackle the problem of transferring th...
03/28/2018 ∙ by Nikolaos Passalis, et al. ∙ 0 ∙ share

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SqueezeJet: High-level Synthesis Accelerator Design for Deep Convolutional Neural Networks

Deep convolutional neural networks have dominated the pattern recognitio...
05/06/2018 ∙ by Panagiotis G. Mousouliotis, et al. ∙ 0 ∙ share

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Process Network Models for Embedded System Design Based on the Real-Time BIP Execution Engine

Existing model-based processes for embedded real-time systems support th...
06/26/2018 ∙ by Fotios Gioulekas, et al. ∙ 0 ∙ share

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Model-Based Design of Energy-Efficient Applications for IoT Systems

A major challenge that is currently faced in the design of applications ...
06/26/2018 ∙ by Alexios Lekidis, et al. ∙ 0 ∙ share

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Deep Reinforcement Learning for Doom using Unsupervised Auxiliary Tasks

Recent developments in deep reinforcement learning have enabled the crea...
07/05/2018 ∙ by Georgios Papoudakis, et al. ∙ 0 ∙ share

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Making Classifier Chains Resilient to Class Imbalance

Class imbalance is an intrinsic characteristic of multi-label data. Most...
07/30/2018 ∙ by Bin Liu, et al. ∙ 0 ∙ share

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Unsupervised Keyphrase Extraction Based on Outlier Detection

We propose a novel unsupervised keyphrase extraction approach based on o...
08/10/2018 ∙ by Eirini Papagiannopoulou, et al. ∙ 0 ∙ share

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Span error bound for weighted SVM with applications in hyperparameter selection

Weighted SVM (or fuzzy SVM) is the most widely used SVM variant owning i...
09/17/2018 ∙ by Ioannis Sarafis, et al. ∙ 0 ∙ share

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Machine Learning for Forecasting Mid Price Movement using Limit Order Book Data

Forecasting the movements of stock prices is one the most challenging pr...
09/19/2018 ∙ by Paraskevi Nousi, et al. ∙ 0 ∙ share

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Using Deep Learning for price prediction by exploiting stationary limit order book features

The recent surge in Deep Learning (DL) research of the past decade has s...
10/23/2018 ∙ by Avraam Tsantekidis, et al. ∙ 0 ∙ share

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A Framework of Transfer Learning in Object Detection for Embedded Systems

Transfer learning is one of the subjects undergoing intense study in the...
11/12/2018 ∙ by Ioannis Athanasiadis, et al. ∙ 0 ∙ share

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Interference-Free Transceiver Design and Signal Detection for Ambient Backscatter Communication Systems over Frequency-Selective Channels

In this letter, we study the ambient backscatter communication systems o...
12/29/2018 ∙ by Chong Zhang, et al. ∙ 0 ∙ share

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A Unified Spatial Framework for UAV-aided MmWave Networks

In this paper, we propose a unified three-dimensional (3D) spatial frame...
01/05/2019 ∙ by Wenqiang Yi, et al. ∙ 0 ∙ share

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Longest Common Subsequence on Weighted Sequences

We consider the general problem of the Longest Common Subsequence (LCS) ...
01/13/2019 ∙ by Evangelos Kipouridis, et al. ∙ 0 ∙ share

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Deep Supervised Hashing leveraging Quadratic Spherical Mutual Information for Content-based Image Retrieval

Several deep supervised hashing techniques have been proposed to allow f...
01/16/2019 ∙ by Nikolaos Passalis, et al. ∙ 0 ∙ share

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Temporal Logistic Neural Bag-of-Features for Financial Time series Forecasting leveraging Limit Order Book Data

Time series forecasting is a crucial component of many important applica...
01/24/2019 ∙ by Nikolaos Passalis, et al. ∙ 0 ∙ share

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RELINE: Point-of-Interest Recommendations using Multiple Network Embeddings

The rapid growth of users' involvement in Location-Based Social Networks...
02/02/2019 ∙ by Giannis Christoforidis, et al. ∙ 0 ∙ share

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Software-Defined FPGA Accelerator Design for Mobile Deep Learning Applications

Recently, the field of deep learning has received great attention by the...
02/08/2019 ∙ by Panagiotis G. Mousouliotis, et al. ∙ 0 ∙ share

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On the Convergence of Network Systems

The apparent disconnection between the microscopic and the macroscopic i...
02/11/2019 ∙ by Evangelos Kipouridis, et al. ∙ 0 ∙ share

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Continuous Outlier Mining of Streaming Data in Flink

In this work, we focus on distance-based outliers in a metric space, whe...
02/21/2019 ∙ by Theodoros Toliopoulos, et al. ∙ 0 ∙ share

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Deep Adaptive Input Normalization for Price Forecasting using Limit Order Book Data

Deep Learning (DL) models can be used to tackle time series analysis tas...
02/21/2019 ∙ by Nikolaos Passalis, et al. ∙ 0 ∙ share

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ARISTOTLE UNIVERSITY OF THESSALONIKI

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