{"id":4,"date":"2015-04-22T07:15:42","date_gmt":"2015-04-22T05:15:42","guid":{"rendered":"http:\/\/dke.maastrichtuniversity.nl\/stelios.asteriadis\/?page_id=4"},"modified":"2023-01-13T14:01:04","modified_gmt":"2023-01-13T13:01:04","slug":"publications","status":"publish","type":"page","link":"https:\/\/dke.maastrichtuniversity.nl\/stelios.asteriadis\/publications","title":{"rendered":"Publications"},"content":{"rendered":"


\nJournal Publications<\/span><\/span><\/b><\/p>\n

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  1. 1. S. Pai, I. Hadzic, C. Rao, I. Zhovannik, A. Dekker, A. Traverso, S. Asteriadis<\/strong>, E. Hortal, Frequency Domain based Structure Losses for CycleGAN-based Cone-beam Computed Tomography Translation, Sensors 23 (accepted for publication), 2023<\/li>\n
  2. E. Ghaleb, J. Niehues, S. Asteriadis<\/strong>, Joint modelling of audio-visual cues using attention mechanisms for emotion recognition<\/a>. Multimedia Tools and Applications. no 5:1-26, 2022<\/li>\n
  3. B. Khaertdinov, S. Asteriadis<\/strong>, E. Ghaleb, Dynamic Temperature Scaling in Contrastive Self-supervised Learning for Sensor-based Human Activity Recognition, IEEE Transactions on Biometrics, Behavior, and Identity Science (accepted for publication), 2022<\/li>\n
  4. A. Firintepe, C. Vey, S. Asteriadis<\/strong>, A. Pagani, D. Stricker, From IR images to Point Clouds to Pose: Point Cloud-based AR Glasses Pose Estimation, Journal of Imaging, 7, no. 5: 80, 2021.<\/li>\n
  5. D. Dotti, M. Popa, S. Asteriadis<\/strong>, \u201cBeing the center of attention: A Person-Context CNN framework for Personality Recognition<\/a>\u201c, Transactions on Interactive Intelligent Systems (TiiS), 10, no. 3: 1-20, 2020.<\/li>\n
  6. E. Ghaleb, M. Popa, S.Asteriadis<\/strong>,\u00a0\u201cMetric Learning Based Multimodal Audio-visual Emotion Recognition<\/a>\u201d IEEE Multimedia Magazine,\u00a0IEEE Multimedia 27, no. 1: 37-48, 2019.<\/em><\/li>\n
  7. C. Athanasiadis, M. Amestory, E. Hortal and S. Asteriadis<\/strong>, \u201ce-3 learning: a Dataset for Affect-driven Adaptation of Computer-Based Learning<\/a>\u201d, IEEE MultiMedia 27, no. 1: 49-60, 2019.<\/li>\n
  8. C. Athanasiadis, E. Hortal and S. Asteriadis<\/strong>,\u00a0\u201cAudio-visual Domain Adaptation using conditional semi-supervised Generative Adversarial Networks<\/a>\u201d Neurocomputing Elsevier, 337: 331-344, 2019.<\/li>\n
  9. D. Dotti, M. Popa and S. Asteriadis,<\/strong> \u201cA Hierarchical Autoencoder Learning Model for Path Prediction and Abnormality Detection<\/a>\u201c Pattern Recognition Letters, 130: 216-224, 2019.<\/li>\n
  10. D. F. L. Hertroijs, A. M. J. Elissen, M. C. G. J. Brouwers, N. C. Schaper,\u00a0S. K\u00f6hler,\u00a0M. C. Popa,\u00a0S. Asteriadis<\/strong>, S. H. Hendriks, H. J. Bilo, D. Ruwaard. A risk score of BMI, HbA1c and triglycerides predicts future glycemic control in type 2 diabetes, Diabetes, Obesity and Metabolism Journal, 18, 2018.<\/li>\n
  11. N. Vretos; P. Daras; S. Asteriadis<\/strong>; E. Hortal; E. Ghaleb; E. Spyrou; H. Leligou; P. Karkazis; P. Trakadas, K. Assimakopoulos, Exploiting sensing devices availability in AR\/VR deployments to foster engagement<\/a>, Virtual Reality, Springer, 23, no. 4: 399-410, 2019.<\/li>\n
  12. F. Alvarez, M. Popa, V. Solachidis, G. Hern\u00e1ndez, A. Belmonte, S. Asteriadis,<\/strong> N. Vretos,\u00a0 M. Quintana, T. Theodoridis, D. Dotti, P. Daras. Behaviour analysis through multimodal sensing for\u00a0care of\u00a0Parkinson’s and Alzheimer’s Patients<\/a>, IEEE Multimedia, \u00a025, no. 1: 14-25, 2018.<\/li>\n
  13. L. Malatesta,\u00a0S. Asteriadis<\/strong>, G. Caridakis, A. Vasalou, K. Karpouzis, Associating gesture expressivity with affective representations<\/a>, International Journal Engineering Applications of Artificial Intelligence (Elsevier), Special Issue on Mining the Humanities, , 51: 124-135, 2016<\/li>\n
  14. S. Asteriadis<\/strong>, P. Daras, Landmark-based multimodal human action recognition<\/a>, Multimedia Tools and Applications, 76, no. 3: 4505-4521, 2017.<\/li>\n
  15. S. Asteriadis<\/b>, K. Karpouzis, S. Kollias, Visual Focus of Attention in Non-Calibrated Environments using Gaze Estimation. <\/a>International Journal of Computer Vision, Springer<\/i>, accepted for publication<\/li>\n
  16. N.Shaker, S. Asteriadis, <\/b>G.Yannakakis, K. Karpouzis, Fusing Visual and Behavioral Cues for Modeling User Experience in Games, <\/a>IEEE Transactions on Cybernetics<\/em>, Volume 43, Number 6, pp. 1519-1531, 2013<\/li>\n
  17. S. Asteriadis<\/b>, K. Karpouzis, N. Shaker, G. Yannakakis, Towards Detecting Clusters of Players using Visual and Game-play Behavioral Cues, <\/a>Procedia Computer Science, Special issue on Virtual Worlds for Serious Applications<\/i>, Volume 15, pp. 140-147, 2012<\/li>\n
  18. G. Caridakis,\u00a0S. Asteriadis<\/b>, K. Karpouzis, Non-manual cues in automatic sign language recognition, <\/a>Special Issue on Assistive Environments for the Disabled and the Senior Citizens, Personal and Ubiquitous Computing<\/i>, Springer, 18, no. 1 (2014): 37-46.<\/li>\n
  19. C. Peters,\u00a0S. Asteriadis<\/b>, K. Karpouzis, Investigating shared attention with a virtual agent using a gaze-based interface, <\/a>Journal on Multimodal User Interfaces,<\/i> 3, No 1-2, Springer, 2010<\/li>\n
  20. S. Asteriadis<\/b>, N. Nikolaidis, I. Pitas,<\/span>\u00a0Facial feature detection using Distance Vector Fields, Pattern Recognition,<\/i> <\/span><\/a>Volume 42, Number 7, Elsevier, 2009<\/span><\/li>\n
  21. S. Asteriadis<\/b>, K. Karpouzis, S. Kollias.<\/span> Estimation of behavioral user state based on eye gaze and head pose\u2014application in an e-learning environment, <\/span><\/a>Multimedia Tools and Applications<\/i><\/span>, Volume 41, Issue 3, Springer, 2009<\/span><\/li>\n<\/ol>\n

    Book Chapters<\/span><\/b><\/p>\n

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      \n
    1. P. Karkazis, H. C. Leligou, P. Trakadas, N. Vretos, S. Asteriadis<\/strong>, P. Daras, P. Standen,\u00a0Technologies facilitating smart pedagogy<\/i>, Didactics of Smart Pedagogy-Smart Pedagogy for Technology Enhanced Learning, ISBN 978-3-030-01550-3 Linda Daniela, Springer, 2018.<\/li>\n
    2. A. S\u00e1nchez-Rico, P. Garel, I. Notarangelo, M. Quintana, G. Hern\u00e1ndez, S. Asteriadis<\/strong>, M. Popa, N. Vretos, V. Solachidis, M. Burgos, A. Girault. ICT Services for Life Improvement for the Elderly. Stud Health Technol Inform. 242:600-605, 2017<\/li>\n
    3. S. Asteriadis<\/span><\/b>, N. Nikolaidis, I. Pitas, Review of Facial Feature Detection Algorithms,\u00a0Advances in Face Image Analysis: Techniques and Technologies<\/i>, 2009<\/span><\/li>\n
    4. G. Caridakis, G. Castellano, L. Kessous, A. Raouzaiou, L. Malatesta,\u00a0S. Asteriadis<\/b>, K. Karpouzis,\u00a0Expressive faces, gestures and speech in multimodal affective analysis, in C. Boukis, A. Pnevmatikakis and L. Polymenakos (eds.), Artificial Intelligence and Innovations: from Theory to Applications,<\/i> pp 375-388, 2007<\/span><\/li>\n<\/ol>\n

      Publications in Conferences<\/span><\/b><\/p>\n

        \n
      1. B. Khaertdinov, S. Asteriadis<\/strong>, Temporal Feature Alignment in Contrastive Self-Supervised Learning for Human Activity Recognition, in the International Joint Conference on Biometrics (IJCB 2022), Abu Dhabi, United Arab Emirates, October 10-13, 2022<\/li>\n
      2. E. Ghaleb, Y. C. Semerci, and S. Asteriadis<\/strong>, Modelling behaviours of people living with neurodegenerative conditions, in the 15th International Conference on PErvasive Technologies Related to Assistive Environments (PETRA 2022), ASSIST: 2nd International Workshop on AI and Sensor-Supported Integrated care Solutions, Corfu, Greece, June 29 \u2013 July 1, 2022<\/li>\n
      3. R. Brinzea, B. Khaertdinov, and S. Asteriadis<\/strong>, Contrastive Learning with Cross-Modal Knowledge Mining for Multimodal Human Activity Recognition<\/a>, IEEE International Joint Conference on Neural Networks (IJCNN), Padova, Italy, 18-23 July, 2022.<\/li>\n
      4. B. Khaertdinov, R. Brinzea, and S. Asteriadis<\/strong>, Contrastive Self-supervised Learning for Human Activity Recognition using Inertial and Skeleton Modalities, 36th<\/sup> AAAI Conference on Artificial Intelligence, Human-Centric Self-Supervised Learning workshop, Vancouver, Canada, February 22 \u2013 March 1, 2022.<\/li>\n
      5. E. Ghaleb, A. Mertens, S. Asteriadis<\/strong>, and G. Weiss, Skeleton-Based Explainable Bodily Expressed Emotion Recognition through Graph Convolutional Networks, IEEE international conference on Automatic Face and Gesture Recognition (IEEE FG), Jodhpur, India, 15-18 December, 2021<\/li>\n
      6. A. Mertens, E. Ghaleb, and S. Asteriadis<\/strong>, “Explainable and Interpretable Features of Emotion in Human Body Expressions”, The annual Benelux Conference on Artificial Intelligence and Machine Learning (BNAIC 2021), Luxembourg, 10-12 November, 2021<\/li>\n
      7. C. Athanasiadis, E. Hortal. and S. Asteriadis<\/strong>, “Temporal conditional Wasserstein GANs for audio-visual affect-related ties”, in the\u00a0\u201cWhat\u2019s Next in Affect Modelling\u201d workshop, 9th International Conference on Affective Computing & Intelligent Interaction (ACII 2021), <\/em>28 September \u2013 1 October, 2021, Virtual Event<\/li>\n
      8. B. Khaertdinov, E. Ghaleb, and S. Asteriadis<\/strong>, \u201cDeep Triplet Networks with Attention for Sensor-based Human Activity Recognition<\/a>\u201d,\u00a0 in the\u00a019th International Conference on Pervasive Computing and Communications (PerCom 2021), IEEE, Kassel, Germany, March 22-26, 2021<\/li>\n
      9. B. Khaertdinov, E. Ghaleb, and S. Asteriadis<\/strong>, \u201cContrastive Self-supervised Learning for Sensor-based Human Activity Recognition<\/a>\u201c, in the 2021 International Joint Conference on Biometrics (IJCB 2021), Shenzhen, China, August 4-7, 2021 – 2nd runner-up award<\/em><\/li>\n
      10. B. Khaertdinov, Y. C. Semerci, and S. Asteriadis<\/strong>, \u201cWandering Recognition using Classical Machine Learning and Deep Learning Techniques with Skeletal Trajectories\u201d,\u00a0in the\u00a014th International Conference on PErvasive Technologies Related to Assistive Environments (PETRA 2021), ASSIST: 1st International Workshop on AI and Sensor-Supported Integrated care Solutions, Corfu, Greece, June 29 \u2013 July 2, 2021<\/li>\n
      11. J. Lucas, E. Ghaleb, S. Asteriadis<\/strong>, \u2018Deep, Dimensional and Multimodal Emotion Recognition Using Attention Mechanisms<\/a>\u2018, The annual Benelux Conference on Artificial Intelligence and Machine Learning (BNAIC 2020), Leiden, the Netherlands, November 2020<\/li>\n
      12. E. Ghaleb, J. Niehues, and S. Asteriadis<\/strong>, Multimodal Attention-Mechanism for Temporal Emotion Recognition, The 27th IEEE International Conference on Image Processing (ICIP 2020), October 25-28, 2020.<\/li>\n
      13. C. Athanasiadis, E. Hortal, and S. Asteriadis<\/strong>, Audio-based Emotion Recognition Enhancement through Progressive GAN, The 27th IEEE International Conference on Image Processing (ICIP 2020), October 25-28, 2020.<\/li>\n
      14. D. Dotti, E. Ghaleb, S. Asteriadis<\/strong>,\u00a0Temporal Triplet Mining for Personality Recognition<\/a>, The 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG2020),\u00a0Buenos Aires, Argentina, 18 -22 May, 2020<\/li>\n
      15. F. Gibellini, J. Sebastiaan, J. Lucas, M. Luli, M. Stallmann, D. Dotti, S. Asteriadis<\/strong>, Towards Approximating Personality Cues Through Simple Daily Activities, Advanced Concepts for Intelligent Vision Systems (ACIVS 2020), Auckland, New Zealand, 10-14 February, 2020<\/li>\n
      16. F. Calsius, S. Asteriadis<\/strong>. Synthesizing Personality-Dependent Body Postures Using Generative Adversarial Networks<\/a>. BNAIC\/BENELEARN 2019 \u2013 The reference AI & ML conference for Belgium, Netherlands & Luxemburg. Brussels, 6-8 November, 2019<\/li>\n
      17. S. Foutsitzi, S. Asteriadis<\/strong>, G. Caridakis,\u00a0An overview of Affective Models and ICT in Education<\/a>,\u00a0The 10th International Conference on Information, Intelligence, Systems and Applications (IISA 2019), Patras, Greece, 15-17 July, 2019<\/li>\n
      18. E. Ghaleb,\u00a0 M. Popa,\u00a0 and S. Asteriadis<\/strong>, Multimodal and Temporal Perception of Audio-visual Cues for Emotion Recognition, 8th International Conference on Affective Computing & Intelligent Interaction (ACII 2019), Cambridge, UK, 3-6 September 2019<\/li>\n
      19. C. Athanasiadis, E. Hortal and S. Ateriadis<\/strong>, Bridging face and sound modalities through Domain Adaptation Metric Learning, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2019), Bruges (Belgium), 24 \u2013 26 April 2019.<\/li>\n
      20. D. F. L., Hertroijs; A.M.J Elissen; M.C.G.J Brouwers; N.C. Schaper; S. K\u00f6hler; M.C. Popa; S. Asteriadis<\/strong>; S.H. Hendriks; H.J. Bilo; D. Ruwaard, A risk score of BMI, HbA1c and triglycerides predicts future glycemic control in type 2 diabetes, 18th International Conference on Integrated Care, Utrecht, 23-25 May, 2018<\/li>\n
      21. E. Ghaleb, E. Hortal, M. Popa, S. Asteriadis<\/strong>,\u00a0Towards Affect Recognition through Interactions with Learning Materials, IEEE International Conference on Machine Learning and Applications (ICMLA 2018), Orlando, Florida, USA, 17-20 December, 2018<\/li>\n
      22. E. Spyrou; N. Vretos; A. Pomazanskyi; S. Asteriadis<\/strong> and H. Leligou,\u00a0Exploiting IoT Technologies for Personalized Learning, IEEE Conference on Computational Intelligence and Games (CIG 2018), Maastricht, the Netherlands, 14-18 August, 2018<\/li>\n
      23. D. Mart\u00edn, M. Popa, J. Jim\u00e9nez, F. \u00c1lvarez, S. Asteriadis<\/strong>, L. Carrasco, A Novel Approach for Movement Evolution Tracking in Parkinson’s Disease using Data Analysis and Fuzzy Logic. In Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference (PETRA) 2018 Jun 26 (pp. 455-461). ACM.<\/li>\n
      24. D, Dotti; M. Popa; S. Asteriadis<\/strong>,\u00a0Behavior and Personality Analysis in a nonsocial context Dataset<\/a>,\u00a02018 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Salt Lake City, US, 22 June, 2018<\/li>\n
      25. D. Tsatsou, A. Pomazanskyi, E. Hortal, E. Spyrou, H. Leligou, S. Asteriadis<\/strong>, N. Vretos, and P.\u00a0Daras, Adaptive learning based on affect sensing, 19th International Conference on Artificial Intelligence in Education, London, UK, June 27-30, 2018<\/li>\n
      26. C. Athanasiadis, C.Z. Lens, D. Koutsoukos, E. Hortal and S. Asteriadis,<\/strong>\u00a0Personalized, affect and performance-driven Computer-based Learning\u00a0CSEDU<\/a> 2017, 9th International Conference on Computer Supported Education, Porto, 21-23 April 2017.<\/li>\n
      27. J. Schwan, E. Ghaleb, E. Hortal, S. Asteriadis.<\/strong>\u00a0High-performance and Lightweight Real-time Deep Face Emotion Recognition<\/a>,\u00a012th International Workshop on Semantic and Social Media Adaptation and Personalization,\u00a0Bratislava, 9-10 July, 2017<\/li>\n
      28. F. Alvarez, M. Popa,\u00a0N.\u00a0Vretos, A. Belmonte, S. Asteriadis<\/strong>, V. Solachidis, T. Mariscal, D. Dotti, P. Daras,\u00a0Multimodal monitoring of Parkinson\u2019s and Alzheimer\u2019s patients using the ICT4LIFE platform.\u00a0Smart indoor event and Activity Recognition Workshop (SIEARW), IEEE AVSS 2017, Lecce, Italy, 29 August 2017<\/li>\n
      29. S. Selzer, S. Asteriadis<\/strong>, M. Politze,\u00a0Prediction of learning space occupation through WLAN access point data using Kalman filter and Gradient Boosting Regression.\u00a0Smart indoor event and Activity Recognition Workshop (SIEARW), IEEE AVSS 2017, Lecce, Italy, 29 August 2017<\/li>\n
      30. E. Ghaleb, M. Popa, E. Hortal, S. Asteriadis<\/strong>, Multimodal Fusion Based on Information Gain for Emotion Recognition in the Wild,\u00a0Intelligent Systems Conference (IntelliSys) 2017, London, United Kingdom, 7-8 September 2017.<\/li>\n
      31. D. Dotti, M. Popa, S. Asteriadis<\/strong>, Unsupervised discovery of normal and abnormal activity patterns in indoor and outdoor environments,\u00a0VISAPP 2017 12th International Conference on Computer Vision Theory and Applications, Porto, Portugal, 27 February – 1 March 2017.<\/li>\n
      32. K. Karpouzis, N. Shaker, G. Yannakakis, S. Asteriadis<\/strong>, The Platformer Experience Dataset, 6th<\/sup> Affective Computing and Intelligenct Interaction (ACII 2015<\/em>) Conference, Xi\u2019an, China, 21-24 September, 2015<\/li>\n
      33. S. Asteriadis, <\/b>P. Daras,\u00a0Skeleton-based Human Action Recognition using Basis Vectors,\u00a0<\/span>8th International Conference on Pervasive Technologies Related to Assistive Environments 2015 (PETRA 2015), <\/i>Corfu, Greece, 1-3 July, 2015<\/li>\n
      34. S. Crowle, M. Boniface, B. Poussard, S. Asteriadis, <\/b>A design and evaluation framework for a tele-immersive mixed reality platform, 1st\u00a0International Conference on Augmented and Virtual Reality (SALENTO AVR 2014<\/i>), Lecce, 17-20 Sept, 2014<\/span><\/li>\n
      35. B. Poussard, S. Richir, J. Vatjus-Anttila, S. <\/i>Asteriadis<\/b>, D. Zarpalas, P. Daras, 3DLIVE: A Multi-Modal Sensing Platform Allowing Tele-Immersive Sports Applications, 22nd European Signal Processing Conference (EUSIPCO<\/i>), Lisbon, Portugal, 2-5 Sept. 2014<\/span><\/li>\n
      36. A. Doumanoglou, D. Alexiadis, S. Asteriadis<\/b>, D. Zarpalas, P. Daras, On Human Time-Varying Mesh Compression Exploiting Activity-Related Characteristics, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)<\/i>, Florence, Italy, May 4-9, 2014<\/li>\n
      37. S. Asteriadis, A. Chatzitofis, D. Zarpalas, D. S. Alexiadis, P. Daras, “Estimating human motion from multiple Kinect Sensors,<\/a> 6th International Conference on Computer Vision \/ Computer Graphics Collaboration Techniques and Applications (MIRAGE), June 6\u20137, 2013, Berlin, Germany<\/li>\n
      38. A. Doumanoglou,\u00a0S. Asteriadis<\/b><\/span><\/span>, D. Alexiadis, D. Zarpalas, P. Daras,<\/span><\/span>\u00a0“A Dataset of Kinect-based 3D scans”, <\/span><\/span><\/a>11th IEEE IVMSP Workshop: 3D Image\/Video Technologies and Applications, Yonsei University, Seoul, Korea, 10-12 June 2013<\/span><\/span><\/li>\n
      39. S. Asteriadis<\/span><\/b>, K. Karpouzis, N. Shaker, G Yannakakis, \u201cTowards detecting clusters of players using visual and game-play behavioural cues\u201d, 4th<\/sup>\u00a0International Conference on Games and Virtual Worlds for Serious Applications (VS-Games 2012)<\/i>, Genoa, Italy, October 2012<\/span><\/li>\n
      40. S. Asteriadis<\/span><\/b>, G. Caridakis, L. Malatesta, K. Karpouzis,\u00a0 “Natural interaction multimodal analysis: Expressivity analysis towards adaptive and personalized interfaces”, 7th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)<\/i>, Luxemburg, December 2012<\/span><\/li>\n
      41. S. Asteriadis<\/span><\/b>, K. Karpouzis, N. Shaker, G. N. Yannakakis, Does your profile say it all? Using demographics to predict expressive head movement during gameplay, 20th<\/sup>\u00a0conference on User Modeling, Adaptation, and Personalization (UMAP)<\/i>, Workshop on TV and multimedia personalization, Montreal, Canada, 16-20 July, 2012<\/span><\/li>\n
      42. S. Asteriadis<\/span><\/b>,\u00a0<\/b>N. Shaker, K. Karpouzis, G. N. Yannakakis,\u00a0<\/span>\u00a0<\/i><\/span>Towards Player\u2019s Affective and Behavioral Visual Cues as drives to Game Adaptation,<\/span>\u00a0<\/span><\/a>LREC Workshop on Multimodal Corpora for Machine Learning,<\/i> Istanbul, May, 2012<\/span><\/li>\n
      43. S. Asteriadis<\/span><\/b>, K. Karpouzis, S. Kollias,\u00a0Robust Validation of Visual Focus of Attention using Adaptive Fusion of Head and Eye Gaze patterns,<\/a> 6th IEEE Workshop on Human Computer Interaction: Real-Time Vision Aspects of Natural User Interfaces, in conjunction with ICCV<\/i>, Barcelona, Spain. 6-13 November, 2011<\/span><\/li>\n
      44. S. Asteriadis<\/span><\/b>, K. Karpouzis, S. Kollias,\u00a0The importance of eye gaze and head pose to estimating levels of attention, 3rd International Conference in Games and Virtual Worlds for Serious Applications (VS-Games),<\/i>May 4-6 2011, Athens, Greece.\u00a0<\/span><\/li>\n
      45. C. Grappiolo, G. Yannakakis,\u00a0S. Asteriadis<\/b>, K. Karpouzis,\u00a0Towards Multimodal Player Adaptivity in a Serious Game for Fair Resource Distribution\u00a0IEEE International Conference on Multimedia and Expo (ICME),<\/i>Barcelona, Spain, 2011<\/span><\/li>\n
      46. G. Caridakis, K. Karpouzis,\u00a0S. Asteriadis<\/b>, Low-cost affect and behaviour sensing in games, Fourth EUCogII Members Conference, Poster session, Thessaloniki, Greece, April 11-12, 2011<\/li>\n
      47. G. Caridakis,\u00a0S. Asteriadis<\/b>, K. Karpouzis,\u00a0Non-manual cues in automatic sign language recognition, ABRA: Affect and Behaviour Related Assistance Workshop, 4th ACM International PETRA Conference,<\/i> Crete, Greece, May 25-27, 2011
        \n<\/span><\/li>\n
      48. G. Caridakis,\u00a0S. Asteriadis<\/b>, K. Karpouzis, S. Kollias,\u00a0Detecting Human Behavior Emotional Cues in Natural Interaction, 17th International Conference on Digital Signal Processing (DSP),<\/i> Corfu, Greece, July 6-8, 2011
        \n<\/span><\/li>\n
      49. N. Shaker,\u00a0S. Asteriadis<\/b>, G. Yannakakis, K. Karpouzis,\u00a0\u00a0A Game-based Corpus for Analysing the Interplay between Game Context and Player Experience, EmoGames workshop, International Conference on Affective Computing and Intelligent Interaction (ACII)<\/i>, Memphis, USA, October 9, 2011
        \n<\/span><\/li>\n
      50. S. Asteriadis<\/span><\/b>, K. Karpouzis, S. Kollias,\u00a0<\/span> Head Pose Estimation with One Camera, in Uncalibrated Environments, <\/span><\/a>International Workshop on Eye Gaze in Intelligent Human Machine Interaction, (IUI<\/i><\/span>), Hong Kong, February, 2010<\/span><\/li>\n
      51. G. Caridakis,\u00a0S. Asteriadis<\/b><\/span>, K. Karpouzis,<\/span> User modeling via gesture and head pose expressivity features, <\/span><\/a>5th International Workshop on Semantic Media Adaptation and Personalization, (SMAP),<\/i><\/span> Limassol, Cyprus, 9-10 December, 2010<\/span><\/li>\n
      52. S. Asteriadis<\/span><\/b>, K. Karpouzis, S. Kollias,<\/span> Face Tracking and Head Pose Estimation using Convolutional Neural Networks,<\/span><\/a> Symposium on Face Analysis and Animation,<\/i><\/span> Edinburgh, 21 October, 2010<\/span><\/li>\n
      53. S. Asteriadis<\/span><\/b>, K. Karpouzis, S.Kollias,<\/span> Feature extraction and Selection for inferring user engagement in an HCI environment, <\/span><\/a>Human Computer Interaction International Conference (HCII),<\/i><\/span> San Diego, California, 19-24 July, 2009<\/span><\/li>\n
      54. S. Asteriadis<\/span><\/b>, D. Soufleros, K. Karpouzis, S. Kollias,<\/span> A Natural Head Pose and Eye Gaze Dataset, <\/span><\/a>International Conference on Multimodal Interfaces (ICMI)<\/i><\/span>, Boston, MA<\/span>,<\/i> November 2-6, 2009
        \n<\/span><\/li>\n
      55. C. Peters,\u00a0S. Asteriadis, G. Rebolledo-Mendez, Modelling User Attention for Human-Agent Interaction,<\/a> International Workshop inImage and Audio Analysis for Multimedia Interactive Systems (WIAMIS), London, 6-8 May 2009<\/li>\n
      56. S. Asteriadis<\/span><\/b>, K. Karpouzis, S. Kollias,<\/span> A Neuro-Fuzzy approach to User Attention Recognition, <\/span><\/a>18th International Conference on Artificial Neural Networks (ICANN)<\/i><\/span>, Prague, 3-6 September 2008<\/span><\/li>\n
      57. C. Peters,\u00a0S. Asteriadis<\/b><\/span>, K. Karpouzis, E. de Sevin,<\/span> Towards a real-time gaze-based Shared Attention for a virtual agent, <\/span><\/a>AFFINE workshop,<\/i><\/span> Chania, Crete, October 2008<\/span><\/li>\n
      58. S. Asteriadis<\/span><\/b>, P. Tzouveli, K. Karpouzis, S. Kollias,\u00a0 A non-intrusive method for user focus of attention estimation in front of a computer monitor, IEEE Conference on Automatic Face and Gesture Recognition (FG)<\/i>, Amsterdam, The Netherlands (Demo Paper), September 2008
        \n<\/span><\/li>\n
      59. S. Asteriadis<\/span><\/b>, P. Tzouveli, K. Karpouzis, S. Kollias,<\/span> Non-verbal feedback on user interest based on gaze direction and head pose, <\/span><\/a>2nd International Workshop on Semantic Media Adaptation and Personalization (SMAP)<\/i><\/span>, London, United Kingdom, 17-18 December 2007<\/span><\/li>\n
      60. S. Asteriadis<\/span><\/b>, N. Nikolaidis, A. Hajdu, I.Pitas, An Eye Detection\u00a0 Algorithm using Pixel to Edge information, Proceedings of the 2nd IEEE-EURASIP International Symposium on Control, Communications, and Signal Processing, <\/i>Marrakech, March, 2006<\/span><\/li>\n
      61. S. Asteriadis<\/span><\/b>, N. Nikolaidis, A. Hajdu, I. Pitas, A novel eye detection algorithm utilizing edge-related geometrical information, European Signal Processing Conference (<\/i><\/span>EUSIPCO<\/i><\/span>),<\/i> Florence, Italy, September 06\u00a0<\/span><\/li>\n
      62. L. Goldmann , M. Krinidis , N. Nikolaidis ,\u00a0S. Asteriadis<\/b>\u00a0, and T. Sikora\u00a0\u00a0 \u0391n Integrated System for face detection and tracking, 2nd Workshop on Immersive Communication and Broadcast Systems,<\/i> 2005<\/span><\/li>\n<\/ol>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

        Journal Publications 1. S. Pai, I. Hadzic, C. Rao, I. Zhovannik, A. Dekker, A. Traverso, S. Asteriadis, E. Hortal, Frequency Domain based Structure Losses for CycleGAN-based Cone-beam Computed Tomography Translation, Sensors 23 (accepted for publication), 2023 E. Ghaleb, J. Niehues, S. Asteriadis, Joint modelling of audio-visual cues using attention mechanisms for emotion recognition. Multimedia Tools […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-4","page","type-page","status-publish","hentry","post"],"_links":{"self":[{"href":"https:\/\/dke.maastrichtuniversity.nl\/stelios.asteriadis\/wp-json\/wp\/v2\/pages\/4","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dke.maastrichtuniversity.nl\/stelios.asteriadis\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/dke.maastrichtuniversity.nl\/stelios.asteriadis\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/dke.maastrichtuniversity.nl\/stelios.asteriadis\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/dke.maastrichtuniversity.nl\/stelios.asteriadis\/wp-json\/wp\/v2\/comments?post=4"}],"version-history":[{"count":57,"href":"https:\/\/dke.maastrichtuniversity.nl\/stelios.asteriadis\/wp-json\/wp\/v2\/pages\/4\/revisions"}],"predecessor-version":[{"id":413,"href":"https:\/\/dke.maastrichtuniversity.nl\/stelios.asteriadis\/wp-json\/wp\/v2\/pages\/4\/revisions\/413"}],"wp:attachment":[{"href":"https:\/\/dke.maastrichtuniversity.nl\/stelios.asteriadis\/wp-json\/wp\/v2\/media?parent=4"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}