Journals and Magazines


2021

Sulun, S., Davies, M. E. P. (2021). On Filter Generalization for Music Bandwidth Extension Using Deep Neural Networks. IEEE Journal of Selected Topics in Signal Processing, vol. 15 (1), 132-142, doi: 10.1109/JSTSP.2020.3037485.

Castro, H., Andrade, M.T., Viana, P. (2021). FiM’s DE – The communication package for the creative pipeline. Multimedia Tools and Applications. https://doi.org/10.1007/s11042-020-10282-0

2020

Salselas, I., Penha, R., Bernardes, G. (2020). Sound design inducing attention in the context of audiovisual immersive environments. Personal and Ubiquitous Computing, Springer. DOI: http://doi.org/10.1007/s00779-020-01386-3

Castro, H.F., Cardoso, J.S., Andrade, M.T. (2020). A Systematic Survey of ML Datasets for Prime CV Research Areas. Media and Metadata, 6(2), 12. https://doi.org/10.3390/data6020012

Viana, P., Soares, M., Gaio, R., Correia, A. (2020). Consumer Attitudes toward News Delivering: An Experimental Evaluation of the Use and Efficacy of Personalized Recommendations. Information, vol. 11(350), doi: https://doi.org/10.3390/info11070350

Marcal, J., Borges, M.M., Viana, P., Carvalho, P. (2020). Learning Physics Through Online Video Annotations. Education in the Knowledge Society, vol. 21(14).

Pereira, A., Carvalho, P., Coelho, G., Côrte-Real, L. (2020). Efficient CIEDE2000-Based Color Similarity Decision for Computer Vision. IEEE Transactions on Circuits and Systems for Video Technology, vol. 30 (7), 2141-2154, July, doi: 10.1109/TCSVT.2019.2914969.

Martins, I., Carvalho, P., Corte-Real, L., Alba-Castro, J.L. (2020). Texture collinearity foreground segmentation for night videos. Computer Vision and Image Understanding, vol. 200, doi: https://doi.org/10.1016/j.cviu.2020.103032.

2019

Matos, A.C., Terroso, T.A., Corte-Real, L., Carvalho, P. (2019). Stereo vision system for human motion analysis in a rehabilitation context. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. 7. 5-6, 707-723. https://doi.org/10.1080/21681163.2018.1542346

Pinto, J.P., Viana, P. (2019). Improving Youtube video retrieval by integrating crowdsourced timed metadata. Journal of Intelligent and Fuzzy Systems. https://doi.org/10.3233/JIFS-179333

Costa, T.S., Andrade, M.T., Viana, P. (2019). Predictive multi-view content buffering applied to interactive streaming system. Electronic Letters. 55(15), 837-838 (2). https://doi.org/10.1049/el.2019.0713

Pereira, A., Carvalho, P., Coelho, G., Corte-Real, L. (2019). Efficient CIEDE2000-based Color Similarity Decision for Computer Vision. IEEE Transactions on Circuits and Systems for Video Technology. 1-1. https://doi.org/10.1109/TCSVT.2019.2914969

Caetano, M., Zacharakis, A., Barbancho, I., & Tardón, L. J. (2019). Leveraging diversity in computer-aided musical orchestration with an artificial immune system for multi-modal optimization. Swarm and Evolutionary Computation. 50. 1-17. https://doi.org/10.1016/j.swevo.2018.12.010

Clemente, M., Mendes, J., Moreira, A., Bernardes, G., Van Twillert, H., Ferreira, A., & Amarante, J. M. (2019). A new classification of wind instruments: Orofacial considerations. Journal of Oral Biology and Craniofacial Research. 9(3), 268-276. https://doi.org/10.1016/j.jobcr.2019.06.010

Navarro-Cáceres, M., Caetano, M., Bernardes, G., & de Castro, L. N. (2019). ChordAIS: An assistive system for the generation of chord progressions with an artificial immune system. Swarm and Evolutionary Computation. 50, 1-14. https://doi.org/10.1016/j.swevo.2019.05.012

Maçãs, C., Rodrigues, A., Bernardes, G., & Machado, P. (2019). MixMash: An Assistive Tool for Music Mashup Creation from Large Music Collections. International Journal of Art, Culture and Design Technologies (IJACDT). 8(2), 20-40. https://doi.org/10.4018/IJACDT.2019070102

2018

Carvalho, D., Bessa, M., Magalhães, L., & Carrapatoso, E. (2018). Performance evaluation of different age groups for gestural interaction: a case study with Microsoft Kinect and Leap Motion. Universal Access in the Information Society, 17(1), 37–50. https://doi.org/10.1007/s10209-016-0518-4

Martins, I, Carvalho, P, Corte Real, L, Alba Castro, JL. (2018). BMOG: boosted Gaussian Mixture Model with controlled complexity for background subtraction. Pattern Analysis and Applications. 21(3), 641-654 (14). https://doi.org/10.1007/s10044-018-0699-y

Sioros, G., Davies, M.E.P, Guedes, C. (2018). A Generative Model for the Characterization of Musical Rhythms. Journal of New Music Research. 47(2). 114-128. https://doi.org/10.1080/09298215.2017.1409769

Tavares, R., Mesquita, H., Penha, R., Abreu, P., Restivo, T. (2018). An Instrumented Glove for Control Audiovisual Elements in Performing Arts, International Journal of Online Engineering. 14. 173-180

Castro, H., Andrade, M.T. (2018). ML Datasets as Synthetic Cognitive Experience Records. International Journal of Computer Information Systems and Industrial Management Applications. 10, 289–331

Fernandes, R., Andrade, M.T. (2018). Multimedia Content Classification Metrics for Content Adaptation. U.Porto Journal of Engineering. 2(2), 14-25.

2017

Jin, C., Davies, M., & Campisi, P. (2017). Embedded Systems Feel the Beat in New Orleans: Highlights from the IEEE Signal Processing Cup 2017 Student Competition. IEEE Signal Processing Magazine, 34(4), 143–170. https://doi.org/10.1109/MSP.2017.2698075

Otebolaku, A. M., & Andrade, M. T. (2017). Context-Aware Personalization Using Neighborhood-Based Context Similarity. Wireless Personal Communications, 94(3), 1595–1618. https://doi.org/10.1007/s11277-016-3701-2

Sioros, G., Davies, M. E. P., & Guedes, C. (2017). A generative model for the characterization of musical rhythms. Journal of New Music Research, 47(2), 114–128. https://doi.org/10.1080/09298215.2017.1409769

Viana, P., & Pinto, J. P. (2017). A collaborative approach for semantic time-based video annotation using gamification. Human-Centric Computing and Information Sciences, 7(1), 13. https://doi.org/10.1186/s13673-017-0094-5

Viana, P., & Soares, M. (2017). A Hybrid Approach for Personalized News Recommendation in a Mobility Scenario Using Long-Short User Interest. International Journal on Artificial Intelligence Tools, 26(2), 1760012, 1-29. https://doi.org/10.1142/S0218213017600120

Bernardes, G. (2017). David Huron, Voice Leading: The Science Behind a Musical Art (Book Review). Portuguese Journal of Musicology, 4(1), 219-226

2016

Bernardes, G., Cocharro, D., Caetano, M., Guedes, C. & Davies, M. (2016) A Multi-Level Tonal Interval Space for Modelling Pitch Relatedness and Musical Dissonance. Journal of New Music Research, 45(3), 1-14.

Bernardes, G., Cocharro, D., Guedes, C. & Davies, M.E.P. (2016) Harmony Generation Driven by a Perceptually Motivated Tonal Interval Space” To appear in ACM Computers in Entertainment.

Caetano, M. Kafentzis, G., Mouchtaris, A. & Stylianou, Y. (2016) Full-Band Quasi-Harmonic Analysis and Synthesis of Musical Instrument Sounds with Adaptive Sinusoids. Applied Sciences, 6, 127.

Gebhardt, R., Davies,M.E.P. & Seeber, B. (2016) Psychoacoustic Approaches for Harmonic Music Mixing. Applied Sciences, Special Issue in Audio Signal Processing, 6(5), 123

Otebolaku, A. & Andrade, M.T. (2016) User context recognition using smartphone sensors and classification models, Elsevier Journal of Network and Computer Applications, Vol./Issue 66C, 33-51

2015

Andrade, M. T., & Costa, T. S. da. (2015). Gaze-Based Personalized Multi-View Experiences. Journal of Media & Mass Communication, 1(1), 43–49. http://doi.org/10.12720/jmmc.1.2.43-49

Beyls, P., Bernardes, G. & Caetano, M. (2015) earGram Actors: An Interactive Audiovisual System Based on Social Behaviour, In Journal of Science and Technology of the Arts CITAR Journal: xCoAx 2015 Special Issue, volume 7

Castro, H., Monteiro, J., Pereira, A., Silva, D., Coelho, G., & Carvalho, P. (2015). Cognition inspired format for the expression of computer vision metadata. Multimedia Tools and Applications, 1–23. http://doi.org/10.1007/s11042-015-2974-x

Oliveira, J. L., Ince, G., Nakamura, K., Nakadai, K., Okuno, H. G., Gouyon, F., & Reis, L. P. (2015). Beat Tracking for Interactive Dancing Robots. International Journal of Humanoid Robotics, 12(04), 1550023. http://doi.org/10.1142/S0219843615500231

Soares, M., & Viana, P. (2015). Tuning metadata for better movie content-based recommendation systems. Multimedia Tools and Applications, 74(17), 7015–7036. http://doi.org/10.1007/s11042-014-1950-1

2014

Almeida, F., Castro, H., Andrade, M. T., Tropea, G., Melazzi, N. B., Signorello, S., & Difino, A. (2014). Digital Forgetting in Information-centric Networks: The CONVERGENCE Perspective. New Rev. Hypermedia Multimedia, 20(2), 169–187. http://doi.org/10.1080/13614568.2013.877088

Castro, H., Andrade, M. T., Almeida, F., Tropea, G., Melazzi, N. B., Mousas, A. S., & Difino, A. (2014). Semantically connected web resources with MPEG-21. Multimedia Tools and Applications, 74(2), 439–462. http://doi.org/10.1007/s11042-014-1918-1

Otebolaku, A. M., & Andrade, M. T. (2014). Context-aware media recommendations for smart devices. Journal of Ambient Intelligence and Humanized Computing, 6(1), 13–36. http://doi.org/10.1007/s12652-014-0234-y

Soares, M., & Viana, P. (2014). TV Recommendation and Personalization Systems: Integrating Broadcast and Video On demand Services. Advances in Electrical and Computer Engineering, 14(1), 115–120. http://doi.org/10.4316/AECE.2014.01018

2013

Castro, H. F., Alves, A. P., & Andrade, M. T. (2013). Reliable P2P Content Delivery for Alternative Business Models. International Journal of Computer Information Systems and Industrial Management Applications, pp. 11–29.

Silva, P., Andrade, M. T., Carvalho, P., Mota, J., Silva, P., Andrade, M. T., & Mota, J. (2013). A Structured and Flexible Language for Physical Activity Assessment and Characterization, Journal of Sports Medicine, Journal of Sports Medicine 2013, http://doi.org/10.1155/2013/420916

2011

Andrade, M. T., Dogan, S., Carreras, A., Barbosa, V., Arachchi, H. K., Delgado, J., & Kondoz, A. M. (2011). Advanced delivery of sensitive multimedia content for better serving user expectations in Virtual Collaboration applications. Multimedia Tools and Applications, 58(3), 633–661. http://doi.org/10.1007/s11042-011-0749-6