Harris V. Georgiou

Orcid: 0000-0003-3462-0745

Affiliations:
  • University of Piraeus, Data Science Lab, Athens, Greece
  • National and Kapodistrian University of Athens, Greece (former)


According to our database1, Harris V. Georgiou authored at least 35 papers between 2002 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Particle swarm optimization and RBF neural networks for public transport arrival time prediction using GTFS data.
Int. J. Inf. Manag. Data Insights, 2022

MoRSE: Deep Learning-based Arm Gesture Recognition for Search and Rescue Operations.
Proceedings of the 8th IEEE World Forum on Internet of Things, 2022

Detection of victims with UAVs during wide area Search and Rescue operations.
Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2022

Genetic profiling of olives for location of origin and variety discrimination using Machine Learning.
Proceedings of the IEEE International Conference on Internet of Things and Intelligence Systems, 2022

2021
Public Transport Arrival Time Prediction Based on GTFS Data.
Proceedings of the Machine Learning, Optimization, and Data Science, 2021

2020
Semantic-aware aircraft trajectory prediction using flight plans.
Int. J. Data Sci. Anal., 2020

Emergency Response in Recent Urban/Suburban Disaster Events in Attica: Technology Gaps, Limitations and Lessons Learned.
Proceedings of the 17th International Conference on Information Systems for Crisis Response and Management, 2020

Future Location and Trajectory Prediction.
Proceedings of the Big Data Analytics for Time-Critical Mobility Forecasting, 2020

2019
Citizens' Campaigns for Environmental Water Monitoring: Lessons From Field Experiments.
IEEE Access, 2019


Online Long-Term Trajectory Prediction Based on Mined Route Patterns.
Proceedings of the Multiple-Aspect Analysis of Semantic Trajectories, 2019

2018
Moving Objects Analytics: Survey on Future Location & Trajectory Prediction Methods.
CoRR, 2018

Increasing Maritime Situation Awareness via Trajectory Detection, Enrichment and Recognition of Events.
Proceedings of the Web and Wireless Geographical Information Systems, 2018


2017
Intrinsic dimension estimation of the fMRI space via sparsity-promoting matrix factorization: Counting the 'brain cores' of the human brain.
Proceedings of the 21st Pan-Hellenic Conference on Informatics, 2017

2016
On the optimality of ternary arithmetic for compactness and hardware design.
CoRR, 2016

Identification of refugee influx patterns in Greece via model-theoretic analysis of daily arrivals.
CoRR, 2016

2015
Elements of Game Theory - Part I: Foundations, acts and mechanisms.
CoRR, 2015

Collective decision efficiency and optimal voting mechanisms: A comprehensive overview for multi-classifier models.
CoRR, 2015

2014
Estimating the intrinsic dimension in fMRI space via dataset fractal analysis - Counting the 'cpu cores' of the human brain.
CoRR, 2014

FMRI unmixing via properly adjusted dictionary learning.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
A game-theoretic framework for classifier ensembles using weighted majority voting with local accuracy estimates
CoRR, 2013

Adaptive detection and severity level characterization algorithm for Obstructive Sleep Apnea Hypopnea Syndrome (OSAHS) via oximetry signal analysis.
CoRR, 2013

2011
A fully automated scheme for mammographic segmentation and classification based on breast density and asymmetry.
Comput. Methods Programs Biomed., 2011

2010
Shape-Based Tumor Retrieval in Mammograms Using Relevance-Feedback Techniques.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2009
Αλγόριθμοι ανάλυσης εικόνας και συνδυασμού ταξινομητών προτύπων με εφαρμογή στην ιατρική διάγνωση
PhD thesis, 2009

Algorithms for Image Analysis and Combination of Pattern Classifiers with Application to Medical Diagnosis
CoRR, 2009

A fully automated complete segmentation scheme for mammograms.
Proceedings of the 16th International Conference on Digital Signal Processing, 2009

A fully automated scheme for breast density estimation and asymmetry detection of mammograms.
Proceedings of the 17th European Signal Processing Conference, 2009

2007
Multi-scaled morphological features for the characterization of mammographic masses using statistical classification schemes.
Artif. Intell. Medicine, 2007


2006
Mammographic masses characterization based on localized texture and dataset fractal analysis using linear, neural and support vector machine classifiers.
Artif. Intell. Medicine, 2006

A Game-Theoretic Approach to Weighted Majority Voting for Combining SVM Classifiers.
Proceedings of the Artificial Neural Networks, 2006

2002
Mammographic mass classification using textural features and descriptive diagnostic data.
Proceedings of the 14th International Conference on Digital Signal Processing, 2002

Multi-resolution morphological analysis and classification of mammographic masses using shape, spectral and wavelet features.
Proceedings of the 14th International Conference on Digital Signal Processing, 2002


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