Tsoukas, Vasileios; Kolomvatsos, Konstantinos; Chioktour, Vasileios; Kakarountas, Athanasios A Comparative Assessment of Machine Learning Algorithms for Events Detection Proceedings Article In: 2019 4th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM), pp. 1–4, IEEE 2019. BibTeX | Tags: Algorithms, Data, Machine Learning Kassari, Penio; Papaioannou, Panagiotis; Billiris, Antonis; Karanikas, Haralampos; Eleftheriou, Stergiani; Thireos, Eleftherios; Manios, Yannis; Chrousos, George P; Charmandari, Evangelia Electronic registry for the management of childhood obesity in Greece Journal Article In: European Journal of Clinical Investigation, vol. 48, no. 3, pp. e12887, 2018. Abstract | Links | BibTeX | Tags: Algorithms, e-health Oikonomou, Panagiotis; Dadaliaris, Antonios N; Loukopoulos, Thanasis; Kakarountas, Athanasios; Stamoulis, Georgios I A Tetris-based legalization heuristic for standard cell placement with obstacles Proceedings Article In: 2018 7th International Conference on Modern Circuits and Systems Technologies (MOCAST), pp. 1–4, IEEE 2018. BibTeX | Tags: Algorithms Hyvönen, V; Pitkänen, T; Tasoulis, S; Jääsaari, E; Tuomainen, R; Wang, L; Corander, J; Roos, T Fast nearest neighbor search through sparse random projections and voting Proceedings Article In: 2016 IEEE International Conference on Big Data (Big Data), pp. 881-888, 2016. Links | BibTeX | Tags: Algorithms Maglogiannis, Ilias; Georgakopoulos, Spiros V; Tasoulis, Sotiris K; Plagianakos, Vassilis P A software tool for the automatic detection and quantification of fibrotic tissues in microscopy images Journal Article In: Information Sciences, vol. 308, pp. 125–139, 2015. BibTeX | Tags: Algorithms, Machine Learning Tasoulis, Sotiris K; Epitropakis, Michael G; Plagianakos, Vassilis P; Tasoulis, Dimitris K Density based projection pursuit clustering Proceedings Article In: 2012 IEEE Congress on Evolutionary Computation, pp. 1–8, IEEE 2012. BibTeX | Tags: Algorithms, Machine Learning
2019
@inproceedings{tsoukas2019comparative,
title = {A Comparative Assessment of Machine Learning Algorithms for Events Detection},
author = {Vasileios Tsoukas and Konstantinos Kolomvatsos and Vasileios Chioktour and Athanasios Kakarountas},
year = {2019},
date = {2019-01-01},
booktitle = {2019 4th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM)},
pages = {1--4},
organization = {IEEE},
keywords = {Algorithms, Data, Machine Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
2018
@article{https://doi.org/10.1111/eci.12887,
title = {Electronic registry for the management of childhood obesity in Greece},
author = {Penio Kassari and Panagiotis Papaioannou and Antonis Billiris and Haralampos Karanikas and Stergiani Eleftheriou and Eleftherios Thireos and Yannis Manios and George P Chrousos and Evangelia Charmandari},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1111/eci.12887},
doi = {https://doi.org/10.1111/eci.12887},
year = {2018},
date = {2018-01-01},
journal = {European Journal of Clinical Investigation},
volume = {48},
number = {3},
pages = {e12887},
abstract = {Abstract Background Obesity in childhood and adolescence represents a major health problem in our century. In Greece, more than 30%-35% of children and adolescents are either overweight or obese. Materials and methods Using information and communication technologies, we developed a “National Registry for the Prevention and Management of Overweight and Obesity in Childhood and Adolescence” for guidance and training of Pediatricians and General Practitioners. The application supports interoperability with other national infrastructures and multi-layered security spanning preventive, detective and administrative controls. The Patient Summary Dataset includes information on medical history, family history, medications, immunizations, clinical examination and laboratory findings and appointment booking service. Results The application was launched in September 2015 and is accessible by: http://app.childhood-obesity.gr/. Based on the data that the doctor registers, the system calculates a personalized therapeutic algorithm that provides information on diet, physical exercise and sleep, as well as guidance on laboratory investigations and referral to specialized centres. A pilot study performed in 1270 children and adolescents indicated that using this system resulted in a reduction in obesity rates by 30% and overweight rates by 35% within 1 year. Conclusions This National e-Health System appears to be effective in the management of overweight and obesity in childhood and adolescence.},
keywords = {Algorithms, e-health},
pubstate = {published},
tppubtype = {article}
}
@inproceedings{oikonomou2018tetris,
title = {A Tetris-based legalization heuristic for standard cell placement with obstacles},
author = {Panagiotis Oikonomou and Antonios N Dadaliaris and Thanasis Loukopoulos and Athanasios Kakarountas and Georgios I Stamoulis},
year = {2018},
date = {2018-01-01},
booktitle = {2018 7th International Conference on Modern Circuits and Systems Technologies (MOCAST)},
pages = {1--4},
organization = {IEEE},
keywords = {Algorithms},
pubstate = {published},
tppubtype = {inproceedings}
}
2016
@inproceedings{7840682b,
title = {Fast nearest neighbor search through sparse random projections and voting},
author = {V Hyvönen and T Pitkänen and S Tasoulis and E Jääsaari and R Tuomainen and L Wang and J Corander and T Roos},
doi = {10.1109/BigData.2016.7840682},
year = {2016},
date = {2016-01-01},
booktitle = {2016 IEEE International Conference on Big Data (Big Data)},
pages = {881-888},
keywords = {Algorithms},
pubstate = {published},
tppubtype = {inproceedings}
}
2015
@article{maglogiannis2015softwareb,
title = {A software tool for the automatic detection and quantification of fibrotic tissues in microscopy images},
author = {Ilias Maglogiannis and Spiros V Georgakopoulos and Sotiris K Tasoulis and Vassilis P Plagianakos},
year = {2015},
date = {2015-01-01},
journal = {Information Sciences},
volume = {308},
pages = {125--139},
publisher = {Elsevier},
keywords = {Algorithms, Machine Learning},
pubstate = {published},
tppubtype = {article}
}
2012
@inproceedings{tasoulis2012density,
title = {Density based projection pursuit clustering},
author = {Sotiris K Tasoulis and Michael G Epitropakis and Vassilis P Plagianakos and Dimitris K Tasoulis},
year = {2012},
date = {2012-01-01},
booktitle = {2012 IEEE Congress on Evolutionary Computation},
pages = {1--8},
organization = {IEEE},
keywords = {Algorithms, Machine Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
A Comparative Assessment of Machine Learning Algorithms for Events Detection Proceedings Article In: 2019 4th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM), pp. 1–4, IEEE 2019. Electronic registry for the management of childhood obesity in Greece Journal Article In: European Journal of Clinical Investigation, vol. 48, no. 3, pp. e12887, 2018. A Tetris-based legalization heuristic for standard cell placement with obstacles Proceedings Article In: 2018 7th International Conference on Modern Circuits and Systems Technologies (MOCAST), pp. 1–4, IEEE 2018. Fast nearest neighbor search through sparse random projections and voting Proceedings Article In: 2016 IEEE International Conference on Big Data (Big Data), pp. 881-888, 2016. A software tool for the automatic detection and quantification of fibrotic tissues in microscopy images Journal Article In: Information Sciences, vol. 308, pp. 125–139, 2015. Density based projection pursuit clustering Proceedings Article In: 2012 IEEE Congress on Evolutionary Computation, pp. 1–8, IEEE 2012.
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