Search Results - "Pikrakis, Aggelos"
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Received Signal Strength Fingerprinting-Based Indoor Location Estimation Employing Machine Learning
Published in Sensors (Basel, Switzerland) (05-07-2021)“…The fingerprinting technique is a popular approach to reveal location of persons, instruments or devices in an indoor environment. Typically based on signal…”
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A modular deep learning architecture for voice pathology classification
Published in IEEE access (01-01-2023)“…The development of methods that combine different sources of information for the purposes of medical diagnosis is an essential challenge in the field of…”
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3
Deep Learning-Based Indoor Localization Using Multi-View BLE Signal
Published in Sensors (Basel, Switzerland) (02-04-2022)“…In this paper, we present a novel Deep Neural Network-based indoor localization method that estimates the position of a Bluetooth Low Energy (BLE) transmitter…”
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4
DanceConv: Dance Motion Generation With Convolutional Networks
Published in IEEE access (2022)“…Automatically synthesizing dance motion sequences is an increasingly popular research task in the broader field of human motion analysis. Recent approaches…”
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Improving Post-processing of Audio Event Detectors using Reinforcement Learning
Published in IEEE access (2022)“…We apply post-processing to the class probability distribution outputs of audio event classification models and employ reinforcement learning to jointly…”
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A Deep Reinforcement Learning Approach To Audio-Based Navigation In A Multi-Speaker Environment
Published in ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (01-01-2021)“…In this work we use deep reinforcement learning to create an autonomous agent that can navigate in a two-dimensional space using only raw auditory sensory…”
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Conference Proceeding -
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i4sea: a big data platform for sea area monitoring and analysis of fishing vessels activity
Published in Geo-spatial information science (03-04-2022)“…The i4sea research project provides effective and efficient big data integration, processing, and analysis technologies to deliver both real-time and…”
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On the Adaptability of Recurrent Neural Networks for Real-Time Jazz Improvisation Accompaniment
Published in Frontiers in artificial intelligence (12-02-2021)“…Jazz improvisation on a given lead sheet with chords is an interesting scenario for studying the behaviour of artificial agents when they collaborate with…”
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Gunshot detection in audio streams from movies by means of dynamic programming and Bayesian networks
Published in 2008 IEEE International Conference on Acoustics, Speech and Signal Processing (01-03-2008)“…This paper treats gunshot detection in audio streams from movies as a maximization task, where the solution is obtained by means of dynamic programming. The…”
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Conference Proceeding -
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Introduction to Pattern Recognition: A Matlab Approach
Published 2010“…Matlab booklet to accompany Theodoridis, Pattern Recognition 4e. Contains tutorials, examples, and Matlab code corresponding to chapters from the Pattern…”
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An Efficient LSTM Neural Network-Based Framework for Vessel Location Forecasting
Published in IEEE transactions on intelligent transportation systems (01-05-2023)“…Forecasting vessel locations is of major importance in the maritime domain, with applications in safety, logistics, etc. Nowadays, vessel tracking has become…”
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Reproducible research in signal processing
Published in EURASIP journal on advances in signal processing (27-10-2011)“…Reproducible research results become more and more an important issue as systems under investigation are growing permanently in complexity, and it becomes thus…”
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Journal Article Publication -
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Predicting Co-movement patterns in mobility data
Published in GeoInformatica (01-04-2024)“…Predictive analytics over mobility data is of great importance since it can assist an analyst to predict events, such as collisions, encounters, traffic jams,…”
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14
Meta-learning with hypernetworks: Cost-effective fault detection in Parabolic Trough plants
Published in Engineering applications of artificial intelligence (01-07-2024)“…Detecting receivers with broken glass envelopes in Parabolic Trough plants presents a crucial challenge in Concentrated Solar Power systems. While existing…”
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15
Discovery of Repeated Melodic Phrases in Folk Singing Recordings
Published in IEEE transactions on multimedia (01-06-2018)“…In music, repetition is a fundamental concept to establish structure and create temporal relationships. Previous approaches to detecting repetition in music…”
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Behaviour reflects personality: detecting co-residence attacks on Xen-based cloud environments
Published in International journal of information security (01-08-2015)“…Cloud computing is gradually becoming the most popular option of Information Technology infrastructures. However, an important issue that has emerged through…”
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17
On the effect of hydrostatic stress on fatigue crack propagation
Published in International journal of structural integrity (10-04-2017)“…Purpose The purpose of this paper is to study mutual interaction between von Mises equivalent and hydrostatic stresses at the crack tip area of an…”
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18
Sea Area Monitoring and Analysis of Fishing Vessels Activity: The i4sea Big Data Platform
Published in 2020 21st IEEE International Conference on Mobile Data Management (MDM) (01-06-2020)“…The i4sea research project provides effective and efficient big data integration, processing and analysis technologies to deliver both real-time and historical…”
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Conference Proceeding -
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If you want to know about a hunter, study his prey: detection of network based attacks on KVM based cloud environments
Published in Journal of cloud computing : advances, systems and applications (05-12-2014)“…Computational systems are gradually moving towards Cloud Computing Infrastructures, using the several advantages they have to offer and especially the economic…”
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A Speech/Music Discriminator of Radio Recordings Based on Dynamic Programming and Bayesian Networks
Published in IEEE transactions on multimedia (01-08-2008)“…This paper presents a multistage system for speech/music discrimination which is based on a three-step procedure. The first step is a computationally efficient…”
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