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Δρ. Αντώνιος Λάλας -
Δημοσιεύσεις

Δημοσιεύσεις Σε Περιοδικά

  1. I. Lazic, F. Agullo, S. Ausso, B. Alves, C. Barelle, J. Berral, P. Bizopoulos, O. Bunduc, I. Chouvarda, D. Dominguez, D. Filos, A. Gutierrez-Torre, I. Hesso, N. Jakovljević, R. Kayyali, M. Kogut-Czarkowska, A. Kosvyra, A. Lalas, M. Lavdaniti, T. Loncar-Turukalo, S. Martinez-Alabart, N. Michas, S. Nabhani-Gebara, A. Raptopoulos, Y. Roussakis, E. Stalika, C. Symvoulidis, O. Tsave, K. Votis, A. Charalambous, "The Holistic Perspective of the INCISIVE Project—Artificial Intelligence in Screening Mammography.", Applied Sciences. 2022; 12(17):8755. https://doi.org/10.3390/app12178755
  2. D. Tsiktsiris, A. Vafeiadis, A. Lalas, M. Dasygenis, K. Votis, D. Tzovaras, "A Novel Image and Audio-based Artificial Intelligence Service for Security Applications in Autonomous Vehicles.", Transportation Research Procedia, Volume 62 (2022): 294-301. https://doi.org/10.1016/j.trpro.2022.02.037
  3. D. Tsiktsiris, N. Dimitriou, A. Lalas, M. Dasygenis, K. Votis, D. Tzovaras, "Real-time Abnormal Event Detection for Enhanced Security in Autonomous Shuttles Mobility Infrastructures", Sensors 2020, 20, 4943; doi:10.3390/s20174943.
  4. A. Eleftheriadou, A. Vafeiadis, A. Lalas, K. Votis, D. Tzovaras, "An Audio-Based Method for Assessing Proper Usage of Dry Powder Inhalers", Appl. Sci. 2020, 10, 6677; doi:10.3390/app10196677.
  5. I. Papadimitriou, A. Vafeiadis, A. Lalas, K. Votis, D. Tzovaras, "Audio-Based Event Detection at Different SNR Settings Using Two-Dimensional Spectrogram Magnitude Representations", Electronics 2020, 9, 1593; doi:10.3390/electronics9101593.
  6. Stewart, Warne, Kendall, Sharma, G. Loi, A, Green, D. Olivereau, M. Kenny, J. Copeman, C. Cao, A. Sun, N. Hope, H. Xie, J. Ye, A. Valdez, R. Azafrani, J. Barret, H. Becha, C. Bhatt, M. Enescu, A. Fimin, G. Gilmore, A. Gluhak, L. Hinrichs, A. Kaushik, A. Lalas, C. Levy-Bencheton, H. Li, I. Petrick, F. Puhlmann, D. Price, D. Spiliopoulos, H. Stüttgen, B. Subirana, D. Tzovaras, K. Votis, P. Waher, S. Westermann, "The Internet Of Things: Applications For Business, Exploring the transformative potential of IoT", The Economist Intelligence Unit, June 2020.
  7. R. J. Khusial, P. J. Honkoop, O. Usmani, M. Soares, A. Simpson, M. Biddiscombe, S. Meah, M. Bonini, A. Lalas, E. Polychronidou, J. G. Koopmans, K. Moustakas, J. B. Snoeck-Stroband, S. Ortmann, K. Votis, D. Tzovaras, K. F. Chung, S. Fowler, J. K. Sont, "Effectiveness of myAirCoach: A mHealth Self-Management System in Asthma", The Journal of Allergy and Clinical Immunology: In Practice, 2020, ISSN 2213-2198. https://doi.org/10.1016/j.jaip.2020.02.018
  8. S. Samaras, E. Diamantidou, D. Ataloglou, N. Sakellariou, A. Vafeiadis, V. Magoulianitis, A. Lalas, A. Dimou, D. Zarpalas, K. Votis, P. Daras, D. Tzovaras, "Deep Learning on Multi Sensor Data for Counter UAV Applications – A Systematic Review",Sensors 2019, 19 (22), 4837, Special Issue: Deep Learning for Multi-Sensor Fusion. DOI: https://doi.org/10.3390/s19224837
  9. A. Lalas, S. Nousias, D. Kikidis, A. Lalos, G. Arvanitis, C. Sougles, K. Moustakas, K. Votis, S. Verbanck, O. Usmani, D. Tzovaras, "Substance deposition assessment in obstructed pulmonary system through numerical characterization of airflow and inhaled particles attributes", BMC Medical Informatics and Decision Making, 17 (Suppl 3): 173, 2017. [doi: 10.1186/s12911-017-0561-y]

Δημοσιεύσεις Σε Συνέδρια

  1. A. Papadopoulos, A. Sersemis, G. Spanos, A. Lalas, C. Liaskos, K. Votis, D. Tzovaras, "Lightweight accident detection model for autonomous fleets based on GPS data.", In 2023 Euro Working Group on Transportation (EWGT), pages 16-23, September 2023.
  2. E. Antypas, G. Spanos, A. Lalas, K. Votis, D. Tzovaras, "A time-series approach for estimated time of arrival prediction in autonomous vehicles.", In 2023 Euro Working Group on Transportation (EWGT), pages 166-173, September 2023.
  3. D. Tsiktsiris, N. Dimitriou, Z. Kolias, S. Skourti, P. Girssas, A. Lalas, K. Votis, D. Tzovaras, "A Framework for Contextual Recommendations Using Instance Segmentation.", In Proceedings of the 25th International Conference on Human-Computer Interaction, (HCI International 2023), Copenhagen, Denmark, 23-28 July, 2023 (accepted for publication).
  4. A. Sersemis, A. Papadopoulos, G. Spanos, A. Lalas, K. Votis, D. Tzovaras, "Cybersecurity Oriented Architecture to Ensure the Autonomous Vehicles Communication.", In 2023 31st Mediterranean Conference on Control and Automation (MED), pages 119-124, June 2023.
  5. G. Agrafiotis, E. Makri, I. Kalamaras, A. Lalas, K. Votis, D. Tzovaras, "Nearest Unitary and Toeplitz matrix techniques for adaptation of Deep Learning models in photonic FPGA.", In Proceedings of the Northern Lights Deep Learning Workshop (Vol. 4). (2023, January).. https://septentrio.uit.no/index.php/nldl/article/view/6825
  6. A. Papadopoulos, A. Lalas, K. Votis, D. Tyrovolas, G. Karagiannidis, S. Ioannidis, C. Liaskos, "An Open Platform for Simulating the Physical Layer of 6G Communication Systems with Multiple Intelligent Surfaces", 2022 18th International Conference on Network and Service Management (CNSM), Thessaloniki, Greece, 2022, pp. 359-363. https://arxiv.org/abs/2211.01659
  7. E. Antypas, G. Spanos, A. Lalas, K. Votis, D. Tzovaras, "Estimated Time of Arrival in Autonomous Vehicles Using Gradient Boosting: Real-life case study in public transportation", In 2022 IEEE International Smart Cities Conference (ISC2), pages, 1-7, September 2022
  8. G. Agrafiotis, E. Makri, I. Flionis, A. Lalas, K. Votis, D. Tzovaras, "Image-based Neural Network Models for Malware Traffic Classification using PCAP to Picture Conversion.", In Proceedings of the 17th International Conference on Availability, Reliability and Security (pp. 1-7). (2022, August).. https://dl.acm.org/doi/abs/10.1145/3538969.3544473
  9. D. Tsiktsiris, A. Lalas, M. Dasygenis, K. Votis, D. Tzovaras, "An Efficient Method for Addressing COVID-19 Proximity Related Issues in Autonomous Shuttles Public Transportation.", In Proceedings of the Artificial Intelligence Applications and Innovations: 18th IFIP WG 12.5 International Conference (AIAI 2022), Hersonissos, Crete, Greece, 17-20 June, 2022. https://doi.org/10.1007/978-3-031-08333-4_14
  10. E. Makri, G. Agrafiotis, I. Kalamaras, A. Lalas, K. Votis, D. Tzovaras, "Less is More: Compression of Deep Neural Networks for adaptation in photonic FPGA circuits.", In 2022 Data Compression Conference (DCC) (pp. 470-470). IEEE. (2022, March).. https://ieeexplore.ieee.org/abstract/document/9810741
  11. E. Makri, G. Agrafiotis, I. Kalamaras, A. Lalas, K. Votis, D. Tzovaras, "Adaptation of Neural Network Architectures for Photonic FPGA Circuits", 1st Workshop on Neuromorphic Photonics, Thessaloniki, Greece, December 6-7, 2021.
  12. A. Sersemis, A. Papadopoulos, G. Spanos, A. Lalas, K. Votis, D. Tzovaras, "A Novel Cybersecurity Architecture for IoV Communication", In 25th Pan-Hellenic Conference on Informatics, pages 357-361, November 2021
  13. C. Zarakovitis, D. Klonidis, Z. Salazar, A. Prudnikova, A. Bozorgchenani, Q. Ni, C. Klitis, G. Guirgis, A. Cavalli, N. Sgouros, E. Makri, A. Lalas, K. Votis, G. Amponis, W. Mallouli, "SANCUS: Multi-Layers Vulnerability Management Framework for Cloud-Native 5G Networks.", In Proceedings of the 16th International Conference on Availability, Reliability and Security (pp. 1-10). (2021, August). . https://dl.acm.org/doi/abs/10.1145/3465481.3470092
  14. D. Tsiktsiris, A. Lalas, M. Dasygenis, K. Votis, D. Tzovaras, "Enhanced Security Framework for Enabling Facial Recognition in Autonomous Shuttles Public Transportation During COVID-19.", In Proceedings of the Artificial Intelligence Applications and Innovations: 17th IFIP WG 12.5 International Conference (AIAI 2021), Hersonissos, Crete, Greece, 25-27 June, 2021.. https://doi.org/10.1007/978-3-030-79150-6_12
  15. T. Marinopoulou A. Vafeiadis, A. Lalas, C. Rollwage, D. Hollosi, K. Votis, D. Tzovaras, "Two Dimensional Convolutional Neural Network Frameworks Using Acoustic Nodes for UAV Security Applications", International Symposium on Quiet Drones, Paris, France, October 2020.
  16. C. Alexakos, K. Votis, A. Lalas, D. Tzovaras, D. Serpanos, "Enabling Digital Forensics Readiness for Internet of Vehicles", 23rd EURO Working Group on Transportation Meeting (EWGT 2020), Paphos, Cyprus, 16-18 September 2020.
  17. A. Papadakis, A. Lalas, K. Votis, D. Tzovaras, "Cybersecurity Aspects of 5G Connectivity in Smart Cities Ecosystem via Connected and Autonomous Vehicles Use Cases", In proc. of 43rd Wireless World Research Forum (WWRF43) meeting, London, United Kingdom, October 2019
  18. A. Lalas, E. Polychronidou, K. Votis, K. Danas, D. Tzovaras, "Self-Management Platform for Chronic Respiratory Diseases through 5G-Enabled Monitoring and Training Approaches", Workshop on 5G e/m-Health and Wearables at the 43rd Wireless World Research Forum (WWRF) Meeting, London, United Kingdom, October 2019.
  19. A. Lalas, E. Polychronidou, R. Kordonias, P. Evaggelatos, V. Koutkias, K. Votis, D. Tzovaras, "Intelligent Clinical Platform for Self-management, Training, and Support of Chronic Respiratory Patients", SimInhale International Conference on Current Challenges and Future Opportunities for Inhalation Therapies, Athens, Greece, September-October 2019.
  20. S. Ortmann, O. Maye, B. Zinke, A. Lalas, K. Votis, D. Tzovaras, A. Lalos, S. Nousias, K. Moustakas, "Wearable sensing technologies for smart asthma guidance", Biomedical Engineering Congress - 53rd Annual Conference of the German Society for Biomedical Engineering (BMT 2019), Frankfurt/Main, Germany, September 2019.
  21. A. Lalas, E. Polychronidou, S. Nousias, P. Evaggelatos, R. Kordonias, G. Arvanitis, A. Kokonozi, P. Steiropoulos, A. Georgiou, P. Angelidis, E. Karvounis, K. Moustakas, V. Koutkias, K. Votis, D. Tzovaras, "Take-A-Breath: Smart Platform for Self-management and Support of Patients with Chronic Respiratory Diseases", 10th International Conference on Information, Intelligence, Systems and Applications (IISA 2019), Patras, Greece, July 2019.
  22. R. J. Khusial, P. J. Honkoop, O. Usmani, M. Soares, A. Simpson, M. Biddiscombe, S. Meah, A. Lalas, E. Polychronidou, J. G. Koopmans, K. Moustakas, J. B. Snoeck-Stroband, S. Ortmann, K. Votis, D. Tzovaras, K. F. Chung, S. Fowler, J. K. Sont, "Effectiveness of myAirCoach: a mHealth self-management system, in uncontrolled asthma", In Proc. of European Respiratory Society International Congress (ERS 2019), European Respiratory Journal, vol. 54:Suppl. 63, PA745, Madrid, Spain, 2019, ISSN: 0903-1936
  23. E. Polychronidou, A. Lalas, D. Tzovaras, K. Votis, "A systematic distributing sensor system prototype for respiratory diseases", 2019 International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Barcelona, Spain, 2019, pp. 191-196.
  24. S. Nousias, A. Lalos, K. Moustakas, A. Lalas, D. Kikidis, K. Votis, D. Tzovaras, O. Usmani, F. Chung, "Computational modeling methods for simulating obstructive human lung diseases", In Proceedings of European Respiratory Society International Congress (ERS 2016), European Respiratory Journal, vol. 48:PA4401, London, UK, 2016.
  25. A. Lalas, S. Nousias, D. Kikidis, A. Lalos, K. Votis, K. Moustakas, D. Tzovaras, "Numerical Assessment of Airflow and Inhaled Particles Attributes in Obstructed Pulmonary System", in 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Shenzhen, China, 15-18 Dec. 2016.

Κεφάλαια Βιβλίων

  1. E. Diamantidou, A. Lalas, K. Votis, D. Tzovaras, "Multimodal Deep Learning Framework for Enhanced Accuracy of UAV Detection", In proc. of Workshop on Vision-enabled UAV and counter-UAV technologies for surveillance and security of critical infrastructures (UAV4S) at the 12th International Conference on Computer Vision Systems (ICVS 2019), Springer Nature Switzerland AG, D. Tzovaras et al. (Eds.): ICVS 2019, LNCS 11754, pp. 768–777, 2019, https://doi.org/10.1007/978-3-030-34995-0_70
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