A Survey of Alzheimer’s Disease Early Diagnosis Methods for Cognitive Assessment

Editorial: Methods and protocols in Brain-Computer Interfaces
Anastasia Angelopoulou, Ines Chihi and Jude Hemanth 2024. Editorial: Methods and protocols in Brain-Computer Interfaces. Frontiers in Human Neuroscience. 18:1447973. https://doi.org/10.3389/fnhum.2024.1447973

Comparative Analysis of Micro/Minichannel Flow Boiling Pattern Recognition and Classification using a Combined CNN-Clustering Algorithms Approach
Mohammad Harris, Anastasia Angelopoulou, Hongwei Wu and Wenbin Zhang 2024. Comparative Analysis of Micro/Minichannel Flow Boiling Pattern Recognition and Classification using a Combined CNN-Clustering Algorithms Approach. IEEE 14th International Conference on Pattern Recognition Systems (ICPRS). London, United Kingdom 15 - 18 Jul 2024 IEEE . https://doi.org/10.1109/ICPRS62101.2024.10677840

Heat Transfer Optimisation using Novel Biomorphic Pin-Fin Heat Sinks: An Integrated Approach via Design for Manufacturing, Numerical Simulation, and Machine Learning
Mohammad Harris, Hongwei Wu, Angelopoulou, A., Wenbin Zhang, Zhuohuan Hu and Yongqi Xie 2024. Heat Transfer Optimisation using Novel Biomorphic Pin-Fin Heat Sinks: An Integrated Approach via Design for Manufacturing, Numerical Simulation, and Machine Learning. Thermal Science and Engineering Progress. 51 102606. https://doi.org/10.1016/j.tsep.2024.102606

Editorial: Women in AI medicine and public health 2022
Lin-Ching Chang and Anastasia Angelopoulou 2023. Editorial: Women in AI medicine and public health 2022. Frontiers in Big Data. 6 1303367. https://doi.org/10.3389/fdata.2023.1303367

Evaluation of Environmental Conditions on Object Detection Using Oriented Bounding Boxes for AR Applications
Li, Vladislav, Villarini, Barbara, Nebel, Jean–Christophe, Lagkas, Thomas, Sarigiannidis, Panagiotis and Argyriou, Vasileios 2023. Evaluation of Environmental Conditions on Object Detection Using Oriented Bounding Boxes for AR Applications. 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT). Pafos, Cyprus 19 - 21 Jun 2023 IEEE . https://doi.org/10.1109/dcoss-iot58021.2023.00058

A Modular Deep Learning Framework for Scene Understanding in Augmented Reality Applications
Li, V., Villarini, B., Nebel, JC. and Argyriou, V. 2023. A Modular Deep Learning Framework for Scene Understanding in Augmented Reality Applications. The IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology. Bali, Indonesia 13 - 15 Jul 2023 IEEE . https://doi.org/10.1109/IAICT59002.2023.10205667

Detection of Physical Adversarial Attacks on Traffic Signs for Autonomous Vehicles
Villarini, B., Radoglou-Grammatikis, P., Lagkas, T., Sarigiannidis, P. and Argyriou, V. 2023. Detection of Physical Adversarial Attacks on Traffic Signs for Autonomous Vehicles. 2023 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT). Bali, Indonesia 13 - 15 May 2023 IEEE . https://doi.org/10.1109/IAICT59002.2023.10205591

An AI-Assisted Skincare Routine Recommendation System in XR
Rajegowda, M.g., Spyridis, Y., Villarini, B. and Argyriou, V. 2023. An AI-Assisted Skincare Routine Recommendation System in XR. 2023 7th International Conference on Artificial Intelligence and Virtual Reality (AIVR2023). Kumamoto, Japan 23 May - 21 Jun 2023 Springer.

3D CATBraTS: Channel Attention Transformer for Brain Tumour Semantic Segmentation
El Badaoui, R., Bonmati Coll, E., Psarrou, A. and Villarini, B. 2023. 3D CATBraTS: Channel Attention Transformer for Brain Tumour Semantic Segmentation. 36th IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS2023). L'Aquila, Italy 24 May - 22 Jun 2023 IEEE . https://doi.org/10.1109/cbms58004.2023.00267

Intraclass Clustering-Based CNN Approach for Detection of Malignant Melanoma
Bandy, A.D., Spyridis, Y., Villarini, B. and Argyriou, V. 2023. Intraclass Clustering-Based CNN Approach for Detection of Malignant Melanoma. Sensors. 23 (2), p. 926. https://doi.org/10.3390/s23020926

A transfer learning-based system for grading breast invasive ductal carcinoma
Radhakrishnan Sujatha, Jyotir Moy Chatterjee, Angelopoulou, A., Kapetanios, E., Parvathaneni Naga Srinivasu and Duraisamy Jude Hemanth 2023. A transfer learning-based system for grading breast invasive ductal carcinoma. IET Image Processing. 17 (7), pp. 1979-1990. https://doi.org/10.1049/ipr2.12660

An End-to-End Automated License Plate Recognition System Using YOLO Based Vehicle and License Plate Detection with Vehicle Classification
Al Batat, R., Angelopoulou, A., Premkumar, S., Hemanth, J. and Kapetanios, D.E. 2022. An End-to-End Automated License Plate Recognition System Using YOLO Based Vehicle and License Plate Detection with Vehicle Classification. Sensors. 22 9477. https://doi.org/10.3390/s22239477

Editorial: Explanation in Human-AI Systems
Kapetanios, D.E., Angelopoulou, A., Smith, D.H., Steuber, V., Woll, B. and Zeller, F. 2022. Editorial: Explanation in Human-AI Systems. Frontiers in Artificial Intelligence. 5 1048568. https://doi.org/10.3389/frai.2022.1048568

Overview of Recent Trends in Microchannels for Heat Transfer and Thermal Management Applications
Mohammad Harris, Hongwei Wu, Wenbin Zhang and Angelopoulou, A. 2022. Overview of Recent Trends in Microchannels for Heat Transfer and Thermal Management Applications. Chemical Engineering and Processing - Process Intensification. 181 109155. https://doi.org/10.1016/j.cep.2022.109155

AI Driven IoT Web-Based Application for Automatic Segmentation and Reconstruction of Abdominal Organs from Medical Images
Villarini, B. and Asaturyan, H. 2022. AI Driven IoT Web-Based Application for Automatic Segmentation and Reconstruction of Abdominal Organs from Medical Images. International Conference on Distributed Computing in Sensor Systems (DCOSS). Los Angeles, California 30 May - 01 Jul 2022 IEEE . https://doi.org/10.1109/DCOSS54816.2022.00045

Classification of Uterine Fibroids in Ultrasound Images Using Deep Learning Model
Dilna, K.T., Anitha, J., Angelopoulou, A., Chaussalet, T.J., Kapetanios, D.E. and Jude Hemanth, D. 2022. Classification of Uterine Fibroids in Ultrasound Images Using Deep Learning Model. International Conference on Computational Science ICCS 2022. London, UK 21 - 23 Jun 2022 Springer. https://doi.org/10.1007/978-3-031-08757-8_5

Super-Resolution Convolutional Network for Image Quality Enhancement in Remote Photoplethysmography based Heart Rate Estimation
Smera Premkumar, K., Angelopoulou, A., Chaussalet, T.J., Kapetanios, D.E. and Jude Hemanth, D. 2022. Super-Resolution Convolutional Network for Image Quality Enhancement in Remote Photoplethysmography based Heart Rate Estimation. International Conference on Computational Science ICCS 2022. London, UK 21 - 23 Jun 2022 Springer. https://doi.org/10.1007/978-3-031-08757-8_15

Transfer Learning based Natural Scene Classification for Scene Understanding by Intelligent Machines
Surendran, R., Anitha, J., Angelopoulou, A., Chaussalet, T.J., Kapetanios, D.E. and Jude Hemanth, D. 2022. Transfer Learning based Natural Scene Classification for Scene Understanding by Intelligent Machines. International Conference on Computational Science ICCS 2022. London, UK 21 - 23 Jun 2022 Springer. https://doi.org/10.1007/978-3-031-08754-7_6

Hybrid deep convolutional neural models for iris image recognition
Jenkin Winston, J., Hemmanth, J., Angelopoulou, A. and Kapetanios, E. 2022. Hybrid deep convolutional neural models for iris image recognition. Multimedia Tools and Applications. 81, pp. 9481-9503. https://doi.org/10.1007/s11042-021-11482-y

Improving Automatic Renal Segmentation in Clinically Normal and Abnormal Paediatric DCE-MRI via Contrast Maximisation and Convolutional Networks for Computing Markers of Kidney Function.
Asaturyan, H., Villarini, Barbara, Sarao, Karen, Chow, Jeanne S, Afacan, Onur and Kurugol, Sila 2021. Improving Automatic Renal Segmentation in Clinically Normal and Abnormal Paediatric DCE-MRI via Contrast Maximisation and Convolutional Networks for Computing Markers of Kidney Function. Sensors. 21 (23) 7942. https://doi.org/10.3390/s21237942

3D Deep Learning for Anatomical Structure Segmentation in Multiple Imaging Modalities
Villarini, B., Asaturyan, H., Kurugol, S., Afacan, O., Bell, J.D. and Thomas, E.L. 2021. 3D Deep Learning for Anatomical Structure Segmentation in Multiple Imaging Modalities. O'Conner, L. (ed.) 34th IEEE CBMS International Symposium on Computer-Based Medical Systems. Online Event 07 - 09 Jun 2021 IEEE . https://doi.org/10.1109/CBMS52027.2021.00066

A Multi-modal Machine Learning Approach and Toolkit to Automate Recognition of Early Stages of Dementia among British Sign Language Users
Liang, X., Angelopoulou, A., Kapetanios, E., Woll, B. and Al Batat, R. 2021. A Multi-modal Machine Learning Approach and Toolkit to Automate Recognition of Early Stages of Dementia among British Sign Language Users. Adrien Bartoli and Andrea Fusiello (ed.) Sign Language Recognition, Translation & Production (SLRTP) Workshop, in conjunction with the ECCV 2020 Conference. Springer. https://doi.org/10.1007/978-3-030-66096-3_20

Exploring the Suitability of Semantic Spaces as Word Association Models for the Extraction of Semantic Relationships
Kapetanios, E., Sugumaran, V. and Angelopoulou, A. 2020. Exploring the Suitability of Semantic Spaces as Word Association Models for the Extraction of Semantic Relationships. arXiv:2004.14265. https://doi.org/arXiv:2004.14265

Machine Learning for Enhancing Dementia Screening in Ageing Deaf Signers of British Sign Language
Xing Liang, Bencie Woll, Kapetanios, E., Angelopoulou, A. and Reda Al batat 2020. Machine Learning for Enhancing Dementia Screening in Ageing Deaf Signers of British Sign Language. LREC 2020, 9th Workshop on the Representation and Processing of Sign Languages: Sign Language Resources in the Service of the Language Community, Technological Challenges and Application Perspectives. Marseille 11 - 16 May 2020 European Language Resources Association (ELRA).

Assessing the Effectiveness of Automated Emotion Recognition in Adults and Children for Clinical Investigation
Flynn, M., Effraimidis, D., Angelopoulou, A., Kapetanios, E., Williams, D., Hemanth, J. and Towell, T. 2020. Assessing the Effectiveness of Automated Emotion Recognition in Adults and Children for Clinical Investigation. Frontiers in Human Neuroscience. 14 70. https://doi.org/10.3389/fnhum.2020.00070

Feature Extraction Techniques for Human Emotion Identification from Face Images
M. Kalpana Chowdary, D.Jude Hemanth, Angelopoulou, A. and Kapetanios, E. 2019. Feature Extraction Techniques for Human Emotion Identification from Face Images. The 9th International Conference on Imaging for Crime Detection and Prevention. 16 - 18 Dec 2019 Institution of Engineering and Technology (IET). https://doi.org/10.1049/cp.2019.1173

Iris Image Recognition using Optimized Kohonen Self Organizing Neural Network
Jenkin Winston, J., Jude Hemanth, D., Angelopoulou, A. and Kapetanios, E. 2019. Iris Image Recognition using Optimized Kohonen Self Organizing Neural Network. The 9th International Conference on Imaging for Crime Detection and Prevention. 16 - 18 Dec 2019 Institution of Engineering and Technology (IET). https://doi.org/10.1049/cp.2019.1171

A Framework for Automatic Morphological Feature Extraction and Analysis of Abdominal Organs in MRI Volumes
Asaturyan, H., Thomas, E.L., Bell, J.D. and Villarini, B. 2019. A Framework for Automatic Morphological Feature Extraction and Analysis of Abdominal Organs in MRI Volumes. Journal of Medical Systems. 43 334. https://doi.org/10.1007/s10916-019-1474-3

Advancing Pancreas Segmentation in Multi-protocol MRI Volumes using Hausdorff-Sine Loss Function
Asaturyan, H., Thomas, E.L., Fitzpatrick, J., Bell, J.D. and Villarini, B. 2019. Advancing Pancreas Segmentation in Multi-protocol MRI Volumes using Hausdorff-Sine Loss Function. 10th International Workshop on Machine Learning in Medical Imaging (MLMI 2019) in conjunction with MICCAI 2019. Shenzen, China 13 Oct 2019 Springer. https://doi.org/10.1007/978-3-030-32692-0_4

Real Time Hand Movement Trajectory Tracking for Enhancing Dementia Screening in Ageing Deaf Signers of British Sign Language
Liang, X., Kapetanios, D.E., Woll, B. and Angelopoulou, A. 2019. Real Time Hand Movement Trajectory Tracking for Enhancing Dementia Screening in Ageing Deaf Signers of British Sign Language. in: Machine Learning and Knowledge Extraction. CD-MAKE 2019 Springer.

Brain-Inspired Intelligent Systems for Daily Assistance
Angelopoulou, A., Garcia-Rodriguez, J., Kapetanios, D.E., Roth, P.M. and Revett, K. 2019. Brain-Inspired Intelligent Systems for Daily Assistance. Computational Intelligence and Neuroscience. 2019 7597839. https://doi.org/10.1155/2019/7597839

Complex Methods Applied to Data Analysis, Processing, and Visualisation
Garcia Rodriguez, J., Angelopoulou, A., David Tomas and Lewis, A. 2019. Complex Methods Applied to Data Analysis, Processing, and Visualisation. Complexity. 2019 9316123. https://doi.org/10.1155/2019/9316123

Morphological and multi-level geometrical descriptor analysis in CT and MRI volumes for automatic pancreas segmentation
Asaturyan, H., Gligorievski, A. and Villarini, B. 2019. Morphological and multi-level geometrical descriptor analysis in CT and MRI volumes for automatic pancreas segmentation. Computerized Medical Imaging and Graphics. 75, pp. 1-13. https://doi.org/10.1016/j.compmedimag.2019.04.004

Evaluation of different chrominance models in the detection and reconstruction of faces and hands using the growing neural gas network
Angelopoulou, A., Garcia-Rodriguez, J., Orts Escolano, S., Kapetanios, D.E., Liang, X., Woll, B. and Psarrou, A. 2019. Evaluation of different chrominance models in the detection and reconstruction of faces and hands using the growing neural gas network. Pattern Analysis and Applications. 22 (4), p. 1667–1685. https://doi.org/10.1007/s10044-019-00819-x

The SmartTarget BIOPSY trial: A prospective, within-person randomised, blinded trial comparing the accuracy of visual-registration and MRI/ultrasound image-fusion targeted biopsies for prostate cancer risk stratification
Hamid, S., Donaldson, I.A., Hu, Y., Rodell, R., Villarini, B., Bonmati, E., Tranter, P., Punwani, S., Side, H.S., Willis, S., van der Meulen, J., Hawkes, D., Mccarran, N., Potyka, I., Williams, N.W., Brew-Graves, C., Freeman, A., Moore, C.M., Barratt, D., Emberton, M. and Ahmed, H.U. 2019. The SmartTarget BIOPSY trial: A prospective, within-person randomised, blinded trial comparing the accuracy of visual-registration and MRI/ultrasound image-fusion targeted biopsies for prostate cancer risk stratification. European Urology. 75 (5), p. 733–740. https://doi.org/10.1016/j.eururo.2018.08.007

Hierarchical Framework for Automatic Pancreas Segmentation in MRI Using Continuous Max-flow and Min-Cuts Approach
Asaturyan, H. and Villarini, B. 2018. Hierarchical Framework for Automatic Pancreas Segmentation in MRI Using Continuous Max-flow and Min-Cuts Approach. ICIAR 2018 International Conference Image Analysis and Recognition. Póvoa de Varzim, Portugal 27 - 29 Jun 2018 Springer. https://doi.org/10.1007/978-3-319-93000-8_64

Technical Note: Error metrics for estimating the accuracy of needle/instrument placement during transperineal MR/US-guided prostate interventions
Bonmati, E., Hu, Y., Villarini, B., Rodell, R., Martin, P., Han, L., Donaldson, I., Ahmed, H.U., Moore, C.M., Emberton, M. and Barratt, D.C. 2018. Technical Note: Error metrics for estimating the accuracy of needle/instrument placement during transperineal MR/US-guided prostate interventions. Medical Physics. 45 (4), pp. 1408-1414. https://doi.org/10.1002/mp.12814

Measuring the Engagement of the Learner in a Controlled Environment Using Three Different Biosensors
El-Abbasy, K., Angelopoulou, A. and Towell, A. 2018. Measuring the Engagement of the Learner in a Controlled Environment Using Three Different Biosensors. 10th International Conference on Computer Supported Education. Madeira, Portugal 15 - 17 Mar 2018 SCITEPRESS. https://doi.org/10.5220/0006788202780284

Fast 2D/3D object representation with growing neural gas
Angelopoulou, A., Garcia-Rodriguez, J., Orts Escolano, S., Gupta, G. and Psarrou, A. 2018. Fast 2D/3D object representation with growing neural gas. Neural Computing and Applications. 29 (10), pp. 903-919. https://doi.org/10.1007/s00521-016-2579-y

MP33-20 The SmartTarget Biopsy Trial: a Prospective Paired Blinded Trial with Randomisation to Compare Visual-Estimation and Image-Fusion Targeted Prostate Biopsies
Donaldson, I., Hamid, S., Barratt, D., Hu, Y., Rodell, R., Villarini, B., Bonmati, E., Martin, P., Hawkes, D., Mccarran, N., Potyka, I., Williams, N., Bre-Graves, C., Moore, C., Emberson, M. and Ahmed, H. 2017. MP33-20 The SmartTarget Biopsy Trial: a Prospective Paired Blinded Trial with Randomisation to Compare Visual-Estimation and Image-Fusion Targeted Prostate Biopsies. The Journal of Urology. 197 (4), p. e425. https://doi.org/10.1016/j.juro.2017.02.1016

A Framework for Morphological Feature Extraction of Organs from MR Images for Detection and Classification of Abnormalities
Villarini, B., Asaturyan, H., Thomas, E.L., Mould, R. and Bell, J.D. 2017. A Framework for Morphological Feature Extraction of Organs from MR Images for Detection and Classification of Abnormalities. Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems (CBMS’17). Thessaloniki, Greece 22 - 24 Jun 2017 IEEE . https://doi.org/10.1109/CBMS.2017.49

Cognitive behaviour analysis based on facial information using depth sensors
Montenegro, J.F., Villarini, B., Gkelias, A. and Argyriou, V. 2016. Cognitive behaviour analysis based on facial information using depth sensors. Wannous, H., Pala, P., Daoudi, M. and Flórez-Revuelta, F. (ed.) ICPR Workshop on Understanding Human Activities through 3D Sensors (UHA3DS 2016). Cancun, Mexico 04 - 08 Dec 2016 Springer. https://doi.org/10.1007/978-3-319-91863-1

Photometric Stereo for 3D Face Reconstruction Using Non Linear Illumination Models
Villarini, B., Gkelias, A. and Argyriou, V. 2016. Photometric Stereo for 3D Face Reconstruction Using Non Linear Illumination Models. ICPR Workshop on Multimodal Pattern Recognition of Social Signals in Human-Computer Interaction. Cancun, Mexico 04 Dec 2016 - 08 Jun 2017 Springer. https://doi.org/10.1007/978-3-319-59259-6_12

Performance Evaluation of a Statistical and a Neural Network Model for Nonrigid Shape-Based Registration
Angelopoulou, A., Psarrou, A., Garcia-Rodriguez, J. and Mentzelopoulos, M. 2016. Performance Evaluation of a Statistical and a Neural Network Model for Nonrigid Shape-Based Registration. Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA'16). Finland 12 - 15 Dec 2016 IEEE . https://doi.org/10.1109/IPTA.2016.7820990

Are Deep Learning Approaches Suitable for Natural Language Processing?
Alshahrani, S. and Kapetanios, E. 2016. Are Deep Learning Approaches Suitable for Natural Language Processing? NLDB 2016: 21st International Conference on Applications of Natural Language to Information Systems. Salford, Manchester, UK 22 - 24 Jun 2016 Springer. https://doi.org/10.1007/978-3-319-41754-7_33

Real time motion estimation using a neural architecture implemented on GPUs
Garcia-Rodriguez, J., Orts Escolano, S., Angelopoulou, A., Psarrou, A., Azorin-Lopez, J. and Garcia-Chamizo, J.M. 2016. Real time motion estimation using a neural architecture implemented on GPUs. Journal of Real-Time Image Processing. 11 (4), pp. 731-749. https://doi.org/10.1007/s11554-014-0417-y

A cross-lingual knowledge base
Kapetanios, E. Forthcoming. A cross-lingual knowledge base.

Validation of the needle targeting accuracy of a MRI/TRUS- image-guided system for transperineal prostate cancer biopsy
Bonmati, E., Hu, Y., Rodell, R., Villarini, B., Martin, P., Han, L., Donaldson, I., Ahmed, H.U., Moore, C.M., Emberton, M. and Barratt, D.C. 2015. Validation of the needle targeting accuracy of a MRI/TRUS- image-guided system for transperineal prostate cancer biopsy. CARS-Computer Assisted Radiology and Surgery, 29th International Congress and Exhibition. Barcelona, Spain 24 Jun 2015 Springer. https://doi.org/10.1007/s11548-015-1213-2

Image, video and 3D data registration: medical, satellite and video processing applications with quality metrics
Argyriou, V., Del Rincon, J.M., Villarini, B. and Roche, A. 2015. Image, video and 3D data registration: medical, satellite and video processing applications with quality metrics. Oxford Wiley.

Editorial: Neural Processing Letters Special Issue on “Neural Networks for Vision and Robotics”
Garcia-Rodriguez, J., Psarrou, A., Lewis, A., Angelopoulou, A. and Cazorla, M. 2015. Editorial: Neural Processing Letters Special Issue on “Neural Networks for Vision and Robotics”. Neural Processing Letters. 43 (2), pp. 309-310. https://doi.org/10.1007/s11063-015-9435-4

Affective Computing to Enhance E-Learning in Segregated Societies
El-Abbasy, K., Angelopoulou, A. and Towell, A. 2015. Affective Computing to Enhance E-Learning in Segregated Societies. 2015 Imperial College Computing Student Workshop (ICCSW 2015). London 23 Sep 2015 OpenAccess Series in Informatics. https://doi.org/10.4230/OASIcs.ICCSW.2015.13

Developing Prognostic Models Using Duality Principles for DC-to-DC Converters
Samie, M., Motlagh, A.M.S., Alghassi, A., Perinpanayagam, S. and Kapetanios, E. 2015. Developing Prognostic Models Using Duality Principles for DC-to-DC Converters. IEEE Transactions on Power Electronics. 30 (5), pp. 2872 - 2884. https://doi.org/10.1109/TPEL.2014.2376413

3D reconstruction of medical images from slices automatically landmarked with growing neural models
Angelopoulou, A., Psarrou, A., Garcia-Rodriguez, J., Orts-Escolano, S., Azorin-Lopez, J. and Revett, K. 2015. 3D reconstruction of medical images from slices automatically landmarked with growing neural models. Neurocomputing. 150 (A), pp. 16-25. https://doi.org/10.1016/j.neucom.2014.03.078

Reliability enhanced EV using pattern recognition techniques
Samie, M., Motlagh, A.M.S., Alghassi, A., Perinpanayagam, S. and Kapetanios, E. 2014. Reliability enhanced EV using pattern recognition techniques. Electric Vehicle Conference (IEVC), 2014 IEEE International . Florence 17 Dec 2014 IEEE . https://doi.org/10.1109/IEVC.2014.7056199

Principle of Duality on Prognostics
Samie, M., Amir, M., Motlagh, A.M.S., Alghassi, A., Perinpanayagam, S. and Kapetanios, E. 2014. Principle of Duality on Prognostics. International Journal of Advanced Computer Science and Applications(IJACSA). 5 (6), pp. 43-52. https://doi.org/10.14569/IJACSA.2014.050609

Model probability in self-organising maps
Angelopoulou, A., Psarrou, A., García-Rodríguez, J., Mentzelopoulos, M. and Gupta, G. 2013. Model probability in self-organising maps. Springer.

3D hand pose estimation with neural networks
Serra, J.A., Garcia-Rodriguez, J., Orts Escolano, S., Garcia-Chamizo, J.M., Angelopoulou, A., Psarrou, A., Mentzelopoulos, M., Montoyo-Bojo, J. and Domínguez, E. 2013. 3D hand pose estimation with neural networks. in: Advances in Computational Intelligence: 12th International Work-Conference on Artificial Neural Networks, IWANN 2013 Springer.

Football video annotation based on player motion recognition using enhanced entropy
Mentzelopoulos, M., Psarrou, A., Angelopoulou, A. and Garcia-Rodriguez, J. 2013. Football video annotation based on player motion recognition using enhanced entropy. in: Advances in Computational Intelligence: 12th International Work-Conference on Artificial Neural Networks, IWANN 2013 Springer.

A sparse representation method for determining the optimal illumination directions in Photometric Stereo
Argyriou, V., Zafeiriou, S., Villarini, B. and Petrou, M. 2013. A sparse representation method for determining the optimal illumination directions in Photometric Stereo. Signal Processing. 93 (11), pp. 3027-3038. https://doi.org/10.1016/j.sigpro.2013.04.026

Natural User Interfaces in Volume Visualisation using Microsoft Kinect
Angelopoulou, A., Garcia-Rodriguez, J., Psarrou, A., Mentzelopoulos, M., Reddy, B., Orts Escolano, S., Serra, J.A. and Lewis, A. 2013. Natural User Interfaces in Volume Visualisation using Microsoft Kinect. ICIAP 2013 International Workshops. Naples, Italy 09 Sep 2013 Springer. https://doi.org/10.1007/978-3-642-41190-8_2

Adaptive learning in motion analysis with self-organising maps
Angelopoulou, A., Garcia-Rodriguez, J., Psarrou, A., Gupta, G. and Mentzelopoulos, M. 2013. Adaptive learning in motion analysis with self-organising maps. International Joint Conference on Neural Networks (IJCNN). Dallas, TX 04 Aug 2013 IEEE . https://doi.org/10.1109/IJCNN.2013.6707135

A semi-parametric approach for football video annotation
Mentzelopoulos, M., Psarrou, A., Angelopoulou, A. and Garcia-Rodriguez, J. 2013. A semi-parametric approach for football video annotation. International Joint Conference on Neural Networks (IJCNN). Dallas, TX 04 Aug 2013 IEEE . https://doi.org/10.1109/IJCNN.2013.6706720

HREBS and cohesion chains as similar tools for semantic text properties research
Tatar, D., Lupea, M. and Kapetanios, E. 2013. HREBS and cohesion chains as similar tools for semantic text properties research. KEPT 2013: Knowledge Engineering: Principles and Techniques Conference. Babes-Bolyai University, Cluj-Napocca, Romania July 5-7, 2013

Entangled semantics
Tanase, D. and Kapetanios, E. 2013. Entangled semantics. Métais, E., Meziane, F., Saraee, M., Sugumaran, V. and Vadera, S. (ed.) NLDB 2013: 18th International Conference on Application of Natural Language to Information Systems. University of Salford, Manchester, UK 19-21 June 2013 Springer. https://doi.org/10.1007/978-3-642-38824-8_36

3D gesture recognition with growing neural gas
Sera-Perez, J.A., Garcia Rodriguez, J., Orts-Escolano, S., García-Chamizo, J.M., Montoyo-Bojo, J., Angelopoulou, A., Psarrou, A., Mentzelopoulos, M., Lewis, A. and Orts Escolano, S. 2013. 3D gesture recognition with growing neural gas. in: Proceedings of the International Joint Conference in Neural Networks, IJCNN 2013, 2-9 August 2013, Dallas, USA IEEE . pp. 3034-3041

Natural language processing: semantic aspects
Kapetanios, E., Tatar, D. and Sacarea, C. 2013. Natural language processing: semantic aspects. London CRC Press, Taylor & Francis.

Active foreground region extraction and tracking for sports video annotation
Mentzelopoulos, M., Psarrou, A., Angelopoulou, A. and Garcia-Rodriguez, J. 2013. Active foreground region extraction and tracking for sports video annotation. Neural Processing Letters. 37 (1), pp. 33-46. https://doi.org/10.1007/s11063-012-9267-4

Are SKOS concept schemas ready for multilingual applications?
Tanase, D. and Kapetanios, E. 2012. Are SKOS concept schemas ready for multilingual applications? in: Sack, H. and Pellegrini, T. (ed.) I-SEMANTICS 2012 - proceedings of the 8th International Conference on Semantic Systems, Graz, Austria — September 05 - 07, 2012 New York ACM. pp. 149-156

An optimal method for searching UEP profiles in wireless JPEG 2000 video transmission
Baruffa, G., Frescura, F., Micanti, P. and Villarini, B. 2012. An optimal method for searching UEP profiles in wireless JPEG 2000 video transmission. ICIP - International Conference on Image Processing. Orlando, FL 30 Sep 2012 IEEE . https://doi.org/10.1109/ICIP.2012.6467192

A reduced-reference perceptual image and video quality metric based on edge preservation
Martini, M.G., Villarini, B. and Fiorucci, F. 2012. A reduced-reference perceptual image and video quality metric based on edge preservation. EURASIP Journal on Advances in Signal Processing. 2012 (66) 66. https://doi.org/10.1186/1687-6180-2012-66

Image quality assessment based on edge preservation
Martini, M.G., Hewage, C. and Villarini, B. 2012. Image quality assessment based on edge preservation. Signal Processing: Image Communication. 27 (8), pp. 875-882. https://doi.org/10.1016/j.image.2012.01.012

Region analysis through close contour transformation using growing neural gas
Gupta, G., Psarrou, A., Angelopoulou, A. and Garcia Rodriguez, J. 2012. Region analysis through close contour transformation using growing neural gas. in: WCCI 2012 IEEE World Congress on Computational Intelligence, IJCNN, Brisbane, Australia, 10-15 June 2012 IEEE . pp. 1-8

Image segmentation based on semi-greedy region merging
Gupta, G., Psarrou, A. and Angelopoulou, A. 2012. Image segmentation based on semi-greedy region merging. IET Image Processing Conference. University of Westminster 3th - 4th July 2012 Stevenage Institution of Engineering and Technology (IET). pp. 211-214 https://doi.org/10.1049/cp.2012.0431

Building visual surveillance systems with neural networks.
Garcia Rodriguez, J., Angelopoulou, A., Mora-Gimeno, F.J. and Psarrou, A. 2012. Building visual surveillance systems with neural networks. in: Elizondo, D.A., Solanas, A. and Martinez-Balleste, A. (ed.) Computational Intelligence for Privacy and Security Springer.

Mobile augmented reality for cultural heritage
Angelopoulou, A., Economou, D., Bouki, V., Psarrou, A., Jin, L., Pritchard, C. and Kolyda, F. 2012. Mobile augmented reality for cultural heritage. in: Mobile wireless middleware, operating systems and applications: 4th international ICST conference, Mobilware 2011. London, UK, June 2011. Revised selected papers. Springer.

Autonomous Growing Neural Gas for applications with time constraint: Optimal parameter estimation
García-Rodríguez, J., Angelopoulou, A., García-Chamizo, J.M., Psarrou, A., Orts Escolano, S. and Morell Giménez, V. 2012. Autonomous Growing Neural Gas for applications with time constraint: Optimal parameter estimation. Neural Networks. 32, pp. 196-208. https://doi.org/10.1016/j.neunet.2012.02.032

Ontology-based operational risk management
Lykourentzou, I., Papadaki, K., Kalliakmanis, A., Djaghloul, Y., Latour, T., Charalambis, I. and Kapetanios, E. 2011. Ontology-based operational risk management. in: 2011 IEEE 13th conference on commerce and enterprise computing (CEC) Luxembourg IEEE . pp. 153-160

Collective intelligence systems: classification and modeling
Lykourentzou, I., Vergados, D., Kapetanios, E. and Loumos, V. 2011. Collective intelligence systems: classification and modeling. Journal of Emerging Technologies in Web Intelligence (JETWI). 3 (3), pp. 217-226. https://doi.org/10.4304/jetwi.3.3.217-226

An unsupervised method for active region extraction in sports videos
Mentzelopoulos, M., Psarrou, A. and Angelopoulou, A. 2011. An unsupervised method for active region extraction in sports videos. in: Cabestany J., Rojas I. and Joya G. (ed.) Advances in Computational Intelligence. IWANN 2011. Lecture Notes in Computer Science, vol 6692 Springer. pp. 42-49

Video and image processing with self-organizing neural networks
García-Rodríguez, J., Domínguez, E., Angelopoulou, A., Psarrou, A., Mora-Gimeno, F.J., Orts, S. and García-Chamizo, J.M. 2011. Video and image processing with self-organizing neural networks. Springer.

Reduced-Reference Image Quality Assessment Based on Edge Preservation
Martini, M.G., Villarini, B. and Fiorucci, F. 2011. Reduced-Reference Image Quality Assessment Based on Edge Preservation. 7th International ICST Mobile Multimedia Communications Conference. Cagliari, Italy 05 Sep 2011 Springer. https://doi.org/10.1007/978-3-642-30419-4_3

Fast image representation with GPU-based growing neural gas
Garcia-Rodriguez, J., Angelopoulou, A., Morell, V., Orts Escolano, S., Psarrou, A. and Garcia-Chamizo, J.M. 2011. Fast image representation with GPU-based growing neural gas. in: Cabestany, J., Rojas, I. and Joya, G. (ed.) Advances in Computational Intelligence: 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part II Springer.

Fast Autonomous Growing Neural Gas
Garcia-Rodriguez, J., Angelopoulou, A., Orts Escolano, S., García-Chamizo, J.M., Psarrou, A. and Garcia Rodriguez, J. 2011. Fast Autonomous Growing Neural Gas. 2011 International Joint Conference on Neural Networks (IJCNN). San Jose, California July 31 - August 5, 2011 https://doi.org/10.1109/ijcnn.2011.6033293

"Cognitive theory of multimedia learning" and learning videos design: The "redundancy principle"
Bouki, V., Economou, D. and Angelopoulou, A. 2011. "Cognitive theory of multimedia learning" and learning videos design: The "redundancy principle". in: SIGDOC'11: proceedings of the 29th ACM international conference on design of communication, October 3 - 5, 2011, Pisa, Italy ACM. pp. 271-278

A growing neural gas algorithm with applications in hand modelling and tracking
Angelopoulou, A., Psarrou, A. and García Rodríguez, J. 2011. A growing neural gas algorithm with applications in hand modelling and tracking. in: Cabestany, J., Rojas, I. and Joya, G. (ed.) Advances in Computational Intelligence: 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Torremolinos-Málaga, Spain, June 8-10, 2011, Proceedings, Part II Springer.

Object representation with self-organising networks
Angelopoulou, A., Psarrou, A. and García Rodríguez, J. 2011. Object representation with self-organising networks. in: Cabestany, J., Rojas, I. and Joya, G. (ed.) Advances in computational intelligence: 11th international work-conference on artificial neural networks, IWANN 2011, Torremolinos-Malaga, Spain, June 8-10, 2011 Springer. pp. 244-251

Collectively intelligent information and knowledge management
Kapetanios, E., Chbeir, R. and Andres, F. 2010. Collectively intelligent information and knowledge management. International Journal of Organizational and Collective Intelligence. 1 (4).

Exploring the relationship between UML design metrics for Web applications and maintainability
Ghosheh, E., Black, S.E., Kapetanios, E. and Baldwin, M. 2010. Exploring the relationship between UML design metrics for Web applications and maintainability. Journal of Object Technology. 9 (3), pp. 125-144. https://doi.org/10.5381/jot.2010.9.3.a5

A reprogrammable computing platform for JPEG 2000 and H.264 SHD video coding
Baruffa, G., Fiorucci, F., Frescura, F., Micanti, P., Verducci, L. and Villarini, B. 2010. A reprogrammable computing platform for JPEG 2000 and H.264 SHD video coding. 8th IEEE Workshop on Embedded Systems for Real-Time Multimedia (ESTIMedia). Scottsdale, AZ 28 Oct 2010 IEEE . https://doi.org/10.1109/ESTMED.2010.5666990

Hand gesture modelling and tracking using a self-organising network
Angelopoulou, A., Garcia-Rodriguez, J., Psarrou, A. and Gupta, G. 2010. Hand gesture modelling and tracking using a self-organising network. The 2010 International Joint Conference on Neural Networks (IJCNN) . Barcelona 18 Jul 2010 IEEE . https://doi.org/10.1109/IJCNN.2010.5596288

Text segments as constrained formal concepts
Tatar, D., Kapetanios, E., Sacarea, C. and Tanase, D. 2010. Text segments as constrained formal concepts. in: Ida, T., Negru, V., Jebelean, T., Petcu, D., Watt, S. and Zaharie, D. (ed.) 12th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), Timisoara, Romania, 23-26 September 2010 IEEE . pp. 223-228

Weighting common syntactic structures for natural language based information retrieval
Liu, C., Wang, H., McClean, S.I. and Kapetanios, E. 2010. Weighting common syntactic structures for natural language based information retrieval. CIKM 2010: 19th ACM International Conference on Information and Knowledge Management. Toronto, Canada 26 - 30 Oct 2010

On the notion of collective intelligence: opportunity or challenge?
Kapetanios, E. 2010. On the notion of collective intelligence: opportunity or challenge? International Journal of Organizational and Collective Intelligence. 1 (1), pp. 1-14.

GNG based surveillance system
Garcia Rodriguez, J., Angelopoulou, A., García-Chamizo, J.M. and Psarrou, A. 2010. GNG based surveillance system. in: 2010 International Joint Conference on Neural Networks (IJCNN), Barcelona, Spain, 18-23 July 2010 IEEE . pp. 1-8

Tracking gestures using a probabilistic self-organising network
Angelopoulou, A., Psarrou, A., Garcia Rodriguez, J. and Gupta, G. 2010. Tracking gestures using a probabilistic self-organising network. in: 2010 International Joint Conference on Neural Networks (IJCNN), Barcelona, Spain, 18-23 July 2010 IEEE . pp. 1-7

Guest editorial: Special issue on collective intelligence
Kapetanios, E. and Koutrika, G. 2010. Guest editorial: Special issue on collective intelligence. Information Sciences. 180 (1), pp. 1-3. https://doi.org/10.1016/j.ins.2009.10.009

Guest editorial: Special Issue – 13th International Conference on Natural Language and Information Systems (NLDB 2008)
Kapetanios, E., Sugumaran, V. and Spiliopoulou, M. 2010. Guest editorial: Special Issue – 13th International Conference on Natural Language and Information Systems (NLDB 2008). Data & Knowledge Engineering. 69 (3), pp. 249-250. https://doi.org/10.1016/j.datak.2009.10.005

At the cross-road of the social Web and cross-lingual information retrieval
Tanase, D. and Kapetanios, E. 2009. At the cross-road of the social Web and cross-lingual information retrieval. in: Murugesan, S. (ed.) Handbook of research on Web 2.0, 3.0, and X.0: technologies, business, and social applications USA Information Science Reference.

Natural language and information systems: 13th international conference on applications of natural language to information systems, NLDB 2008, London, UK, June 24-27, 2008 proceedings
Kapetanios, E., Sugumaran, V. and Spiliopoulou, M. 2009. Natural language and information systems: 13th international conference on applications of natural language to information systems, NLDB 2008, London, UK, June 24-27, 2008 proceedings. Springer.

Generic colour image segmentation via multi-stage region merging
Gupta, G., Psarrou, A. and Angelopoulou, A. 2009. Generic colour image segmentation via multi-stage region merging. in: Proceedings of the 10th Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS '09) IEEE . pp. 185-188

Quo Vadis computer science: from Turing to personal computer, personal content and collective intelligence
Kapetanios, E. 2008. Quo Vadis computer science: from Turing to personal computer, personal content and collective intelligence. Data & Knowledge Engineering. 67 (2), pp. 286-292. https://doi.org/10.1016/j.datak.2008.05.003

A parametric linguistics based approach for cross-lingual web querying
Kapetanios, E., Sugumaran, V. and Tanase, D. 2008. A parametric linguistics based approach for cross-lingual web querying. Data & Knowledge Engineering. 66 (1), pp. 35-52. https://doi.org/10.1016/j.datak.2007.07.008

Evaluating the impact of personal dictionaries for cross-language information retrieval of socially annotated images
Tanase, D. and Kapetanios, E. 2008. Evaluating the impact of personal dictionaries for cross-language information retrieval of socially annotated images. iCLEF Workshop. Aarhus, Denmark 16 Sep 2008

Active-GNG: model acquisition and tracking in cluttered backgrounds
Angelopoulou, A., Psarrou, A., Garcia Rodriguez, J. and Gupta, G. 2008. Active-GNG: model acquisition and tracking in cluttered backgrounds. in: VNBA '08: Proceeding of the 1st ACM workshop on vision networks for behavior analysis ACM. pp. 17-22

An algebra and conceptual model for semantic tagging of collaborative digital libraries
Kapetanios, E. and Schall, M. 2007. An algebra and conceptual model for semantic tagging of collaborative digital libraries. Second Workshop on Foundations of Digital Libraries in conjunction with 11th European Conference on Research and Advanced Technologies on Digital Libraries (ECDL 2007). Budapest, Hungary 20 Sep 2007

Robust modelling and tracking of NonRigid objects using Active-GNG
Angelopoulou, A., Psarrou, A., Gupta, G. and Garcia Rodriguez, J. 2007. Robust modelling and tracking of NonRigid objects using Active-GNG. in: IEEE Workshop on Non-rigid Registration and Tracking through Learning, NRTL 2007, in conjunction with ICCV 2007, 14-21 October 2007, Rio de Janeiro Los Alamitos, USA IEEE . pp. 1-7

Nonparametric modelling and tracking with Active-GNG
Angelopoulou, A., Psarrou, A., Gupta, G. and Garcia Rodriguez, J. 2007. Nonparametric modelling and tracking with Active-GNG. in: Lew, M., Sebe, N., Huang, T.S. and Bakker, E.M. (ed.) Human-Computer Interaction: IEEE international workshop, HCI 2007, Rio de Janeiro, Brazil, October 20, 2007; proceedings Berlin Springer.

Cross-lingual information retrieval and delivery using community mobile networks
Schriram, R., Sugumaran, V. and Kapetanios, E. 2006. Cross-lingual information retrieval and delivery using community mobile networks. in: 1st International Conference on Digital Information Management Los Alamitos, USA IEEE . pp. 320-325

Multi-lingual Web querying: a parametric linguistics based approach
Kapetanios, E., Sugumaran, V. and Tanase, D. 2006. Multi-lingual Web querying: a parametric linguistics based approach. in: Kop, C., Fliedl, G., Mayr, H.C. and Metais, E. (ed.) Natural Language Processing and Information Systems: 11th International Conference on Applications of Natural Language to Information Systems, NLDB 2006, Klagenfurt, Austria, May 31 - June 2, 2006. Proceedings Berlin, Germany Springer.

Automatically building 2D statistical shapes using the topology preservation model GNG
Garcia Rodriguez, J., Angelopoulou, A., Psarrou, A. and Revett, K. 2006. Automatically building 2D statistical shapes using the topology preservation model GNG. in: Narayanan, P.J., Nayar, S.K. and Shum, H.Y. (ed.) Computer Vision ACCV 2006: 7th Asian Conference on Computer Vision, Hyderabad, India, January 13-16, 2006: Proceedings, Part I Springer.

Learning 2D hand shapes using the topology preservation model GNG
Angelopoulou, A., Rodríguez, J.G. and Psarrou, A. 2006. Learning 2D hand shapes using the topology preservation model GNG. in: Leonardis, A., Bischof, H. and Pinz, A. (ed.) Proceedings of the 9th IEEE European Conference on Computer Vision, ECCV 2006 Hamburg, Germany Springer. pp. 313-324

Growing neural gas (GNG): A soft competitive learning method for 2D hand modelling
García Rodríguez, J., Angelopoulou, A. and Psarrou, A. 2006. Growing neural gas (GNG): A soft competitive learning method for 2D hand modelling. IEICE Transactions on Information and Systems. E89-D (7), pp. 2124-2131. https://doi.org/10.1093/ietisy/e89-d.7.2124

Simplifying syntactic and semantic parsing of NL-based queries in advanced application domains
Kapetanios, E., Baer, D. and Groenewoud, P. 2005. Simplifying syntactic and semantic parsing of NL-based queries in advanced application domains. Data & Knowledge Engineering. 55 (1), pp. 38-58. https://doi.org/10.1016/j.datak.2004.11.008

Probablistic image-based characterisation of manuscript inks
Psarrou, A. and Angelopoulou, A. 2005. Probablistic image-based characterisation of manuscript inks. SPIE International Symposium on Optical Metrology. Munich, Germany 13-17 Jun 2005

Multi-lingual database querying and the atoms of language
Kapetanios, E. and Chountas, P. 2005. Multi-lingual database querying and the atoms of language. in: Montoyo, A., Munoz, R. and Metais, E. (ed.) Natural Language Processing and Information Systems: 10th International Conference on Applications of Natural Language to Information Systems, NLDB 2005, Alicante, Spain, June 15-17, 2005. Proceedings Berlin, Germany Springer.

MDDQL: an ontology driven, multi-lingual query language and system for an integrated view of heterogeneous data sources
Kapetanios, E. and Chountas, P. 2005. MDDQL: an ontology driven, multi-lingual query language and system for an integrated view of heterogeneous data sources. Semantic Technology Conference 2005. California, USA 07-10 Mar 2005

On the relativity of ontological domains and their specifications
Kapetanios, E. 2005. On the relativity of ontological domains and their specifications. in: Khosrow-Pour, M. (ed.) Encyclopedia of information science and technology Hershey, USA Idea Group Reference.

Automatic landmarking of 2D medical shapes using the growing neural gas network
Angelopoulou, A., Psarrou, A., Rodríguez, J.G. and Revett, K. 2005. Automatic landmarking of 2D medical shapes using the growing neural gas network. in: Liu, Y., Jiang, T. and Zhang, C. (ed.) Computer Vision for Biomedical Image Applications: First International Workshop, CVBIA 2005, Beijing, China, October 21, 2005, Proceedings Berlin, Germany Springer.

Automatic landmark extraction from a class of hands using growing neural gas
Angelopoulou, A., Garcia Rodriguez, J. and Psarrou, A. 2005. Automatic landmark extraction from a class of hands using growing neural gas. in: Proceedings of the 9th IAPR Conference on Machine Vision Applications, MVA 2005 Tokyo, Japan IAPR MVA Conference Committee. pp. 168-171

MDDQL-Stat: data querying and analysis through integration of intentional and extensional semantics
Kapetanios, E., Baer, D., Glaus, B. and Groenewoud, P. 2004. MDDQL-Stat: data querying and analysis through integration of intentional and extensional semantics. in: 16th International Conference on Scientific and Statistical Database Management (SSDBM'04) USA IEEE . pp. 353-356

Delivering distance learning material via interactive television in the UK: a dynamic content-based inferface
Angelopoulou, A., Thomas, S., Konstantinou, V. and Psarrou, A. 2004. Delivering distance learning material via interactive television in the UK: a dynamic content-based inferface. 21st ICDE Conference on Open Learning and Distance Education. Hong Kong 18-21 Feb 2004

Evaluating statistical shape models for automatic landmark generation on a class of human hands
Angelopoulou, A. and Psarrou, A. 2004. Evaluating statistical shape models for automatic landmark generation on a class of human hands. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. 34 (XXX).

diARTgnosis: study of European religious painting
Angelopoulou, A., Mantratzis, C., Psarrou, A. and Konstantinou, V. 2004. diARTgnosis: study of European religious painting. 2nd International Conference of Museology. Mytilene, Greece 28 Jun - 02 Jul 2004

Assessment of indications in interventional cardiology: appropriateness and necessity of coronary angiography and revascularization
Schilling, J., Gerstl, P., Kapetanios, E., Lee, C.Y. and Bertel, O. 2003. Assessment of indications in interventional cardiology: appropriateness and necessity of coronary angiography and revascularization. American Journal of Medical Quality. 18 (4), pp. 155-163. https://doi.org/10.1177/106286060301800405

Simplifying syntactic and semantic parsing of NL-based queries in advanced application domains
Kapetanios, E., Baer, D. and Groenewoud, P. 2003. Simplifying syntactic and semantic parsing of NL-based queries in advanced application domains. in: Dusterhoft, A. and Thalheim, B. (ed.) Natural Language Processing and Information Systems, 8th International Conference on Applications of Natural Language to Information Systems, June 2003, Burg (Spreewald), Germany Springer. pp. 127-140

A dynamic model for delivering distance learning material via interactive television
Angelopoulou, A., Thomas, S., Gallahan, P. and Psarrou, A. 2003. A dynamic model for delivering distance learning material via interactive television. Second International Conference on Multimedia and ICTs in Education. Badajoz, Spain 03-06 Dec 2003

Query construction through meaningful suggestions of terms
Kapetanios, E. and Groenewoud, P. 2002. Query construction through meaningful suggestions of terms. in: Andreasen, T. (ed.) FQAS '02: Proceedings of the 5th International Conference on Flexible Query Answering Systems Berlin, Germany Springer.

The design and implementation of a meaning driven data query language
Kapetanios, E., Baer, D., Groenewoud, P. and Mueller, P. 2002. The design and implementation of a meaning driven data query language. in: Proceedings of the 14th International Conference on Scientific and Statistical Database Management, July 24-26, 2002, Edinburgh, Scotland, UK. USA IEEE . pp. 20-23

A semantically advanced querying methodology for medical knowledge and decision support
Kapetanios, E. 2002. A semantically advanced querying methodology for medical knowledge and decision support. in: Grutter, R. (ed.) Knowledge media in healthcare: opportunities and challenges Hershey, USA Idea Group Publishing. pp. 96-130

A meaning driven querying methodology: end user oriented querying
Kapetanios, E. 2001. A meaning driven querying methodology: end user oriented querying. PhD thesis Swiss Federal Institute of Technology (ETH), Zurich Department of Computer Science

A semantics based interactive query formulation technique
Baer, D., Groenewoud, P., Kapetanios, E. and Keuser, S. 2001. A semantics based interactive query formulation technique. in: Proceedings of the Second International Workshop on User Interfaces to Data Intensive Systems (UIDIS'01) USA IEEE . pp. 43-49

An extensible movie system interface for information-rich television
Angelopoulou, A., Psarrou, A. and Parapadakis, D. 2001. An extensible movie system interface for information-rich television. in: Graham, P., Maheswaran, M. and Eskicioglu, M.R. (ed.) Proceedings of the International Conference on Internet Computing, IC'2001, Las Vegas, Nevada, USA, June 25-28, 2001 USA CSREA Press.

Appropriateness and necessity research on the internet: using a "second opinion system"
Schilling, J., Faisst, K., Kapetanios, E., Wyss, P., Norrie, M.C. and Gutzwiller, F. 2000. Appropriateness and necessity research on the internet: using a "second opinion system". Methods of Information in Medicine. 39 (3), pp. 233-237.

MDDQL: a visual query language for metadata driven querying
Kapetanios, E., Norrie, M.C. and Fuhrer-Stakic, D. 2000. MDDQL: a visual query language for metadata driven querying. in: Arisawa, H. and Catarci, T. (ed.) Advances in Visual Information Management: proceedings of the Fifth Working Conference on Visual Database Systems (VDB5), Fukuoka, Japan, May 10-12, 2000 London, UK Kluwer Academic Publishers.

An information states blackboard as an intelligent querying interface for snow and avalanche data
Kapetanios, E., Norrie, M.C. and Frei, A. 1999. An information states blackboard as an intelligent querying interface for snow and avalanche data. in: Paton, N.W. and Griffiths, T. (ed.) User Interfaces to Data Intensive Systems: proceedings USA IEEE . pp. 32-41

Context based querying of scientific data: changing querying paradigms?
Kapetanios, E., Norrie, M.C. and Brabec, B. 1999. Context based querying of scientific data: changing querying paradigms? in: Miller, C. and Musick, R. (ed.) Third IEEE Metadata Conference Proceedings, 06-07 April 1999, Bethesda, MD IEEE .