I'm a member of the Cognitive and Media Systems research group at the the Center for Informatics and Systems of the University of Coimbra (CISUC). I also colaborate with the and Adaptive Computation Group at CISUC. My main research interests are in the areas of Music Information Retrieval (MIR) and Clinical Informatics. The commom research "hat" is the study of signal processing, feature engineering, pattern recognition, data mining and machine learning techniques applied to bio and musical signals.

Regarding MIR, lately I've been working on Music Emotion Recognition (MER), where my goal is to devise methods for emotion-based analysis, classification and retrieval of recorded music. In the past, I've addressed the problem of melody detection in polyphonic audio. As for clinical informatics, I'm presently investigating methods for the automatic detection of lung adventitious sounds, namely, crackles and wheezes, as well as cough. In the past, I've tackled the estimation of systolic time intervals (PEP and LVET) based mostly on heart sounds. Moreover, I'm also working on noise detection and classification of murmur, again using heart sounds.

 

Below, you can find short descriptions of the main PROJECTS I am/was involved in lately (more information on my MIR projects at the mir.dei site: http://mir.dei.uc.pt/).

 

Also, you can find RESEARCH OPPORTUNITIES.

 

You can also check my list of PUBLICATIONS, including:

• Books
• Theses
• Supervised Doctoral Theses
• Book Chapters
• Journal Papers
• Conference Papers
• Scientific Reports
• Tutorials
• Invited Scientific Presentations

 

If you are interested in performing research (MSc or PhD level) in any of the topics below, drop me an e-mail.

• Music Information Retrieval in general
• Music Emotion Recognition: involving Machine Learning + Audio Signal Processing (for feature extraction from audio) and/or MIDI Processing (for feature extraction from MIDI) and/or Natural Language Processing (for lyrics processing), among other sources
• Automatic Music Transcription and Melody Transcription in particular

• Clinical Informatics: involving Machine learning + Physiological Sound Processing (heart, lung sounds, etc.) and/or ICG/PPG/ECG Processing, among other biosignals

 

FCT PTDC/CCI-COM/3171/2021. January 2022 – December 2024. Project Coordinator. Funded by the Portuguese government – 195 892 EUR (national project).

More information at the mir.dei site.

 

FCT PTDC/EIA-EIA/102185/2008. May 2010 – November 2013. Project Coordinator. Funded by the Portuguese government – 77 304 EUR (national project).

More information at the mir.dei site.

 

SI & IDT-Co-Promoção - Projecto nº22997. January 2012 – June 2014. Project Co-coordinator. Funded by QREN (Quadro de Referência Estratégica Nacional) – 1,282,400 EUR (global) – 104,943 EUR (local) (national project).

More information at https://www.cisuc.uc.pt/projects/show/159.

 

PhD research project. Funded by CISUC (conference travels and laboratories visits).

More information at the mir.dei site.

 

H2020-825572.  January 2019 – June 2022. Local coordinator. Funded by the European Union – 4,000,000 EUR.

More information at http://www.welmo-project.eu/.

 

H2020-TWINN-2015 692023.  January 2016 – December 2018. Project member. Funded by the European Union – 1,000,000 EUR.

More information at https://www.linkresearch.eu/.

 

FP7-ICT-2013-10.  October 2013 – September 2017. Local coordinator. Funded by the European Union – 6,173,231 EUR (global) – 372,867 EUR (local). .

More information at http://www.welcome-project.eu/.

 

FCT PTDC/EEI-PRO/2857/2012. April 2013 – March 2016. Project member. Funded by the Portuguese government – 200,000 EUR (national project).

More information at https://www.cisuc.uc.pt/projects/show/152.

 

FP7 – 216695.  January 2008 – August 2013. Project member. Funded by the European Union – 14,000,000 EUR (IP project).

More information at http://www.heartcycle.eu/.

 

FCT PTDC/EIA/68620/2006. January 2008 – June 2011. Project member. Funded by the Portuguese government – 112,500 EUR (national project).

More information at http://www.cisuc.uc.pt/projects/show/87.

 

FCT PTDC/EEI-ESS/1189/2014. June 2016 – June 2019. Project member. Funded by the Portuguese government – 186,450 EUR (national project).

 

Funded by QREN (Quadro de Referência Estratégica Nacional) – 1.2 Million EUR (national project).

More information at https://www.cisuc.uc.pt/projects/show/173.

 

November 2012 – June 2013. Coordinator. Funded by Secretaría Nacional de Educación Superior, Ciencia, Tecnología e Innovación (Senescyt), Ecuador: 40 560 USD. Prooject coordinator.

 

Visiting scientist.

Prometeo Program is an initiative that seeks to build the research capacities of institutions in the country that are engaged in science, by linking them with foreign and Ecuadorian researchers residing abroad.

More information at the site of Proyecto Prometeo.

 

2001. Project members. Funded by Vodafone Portugal.

 

1998-2000. Project member. Funded by the Portuguese Ministry of Science and Technology, under the program PRAXIS XXI.

More information at https://www.cisuc.uc.pt/projects/show/27.

 

Paiva R. P., Carvalho P. & Kilintzis V. (2022). “Wearable Sensing and Intelligent Data Analysis for Respiratory Management”. Academic Press (Elsevier). ISBN: 9780128234471.

Paiva R. P. (2009). “Melody Detection in Polyphonic Audio: From Pitch Extraction to Note Identification”. Lambert Academic Publishing. ISBN 978-3838319704.

Paiva R. P. (2007). “Melody Detection in Polyphonic Audio”. PhD Thesis, Department of Informatics Engineering, University of Coimbra, Portugal, February 2007.

Paiva R. P. (1999). “Identificação Neuro-Difusa: Aspectos de Interpretabilidade” (Neuro-Fuzzy Identification: Interpretability Issues). MSc Thesis, Department of Informatics Engineering, University of Coimbra, Portugal (in Portuguese), November 1999.

Paiva R. P. (1996). “Modelling and Control of an Electric Arc Furnace”. MSc Thesis, Department of Automatic Control, University of Lund, Sweden, June 1996.

I'm currently supervising 4 PhD students:

Ricardo Correia (started 2023). “Feature Engineering and Deep Learning for Lyrics-based Music Emotion Recognition“. Doctoral Program in Informatics Engineering. University of Coimbra. Co-Supervisor (main supervisor: Prof. Ricardo Malheiro; co-supervisor: Dr. Renato Panda).

Pedro Louro (started 2022). “Feature Engineering and Deep Learning for Audio-based Music Emotion Recognition“. Doctoral Program in Informatics Engineering. University of Coimbra. Co-Supervisor (main supervisor: Dr. Renato Panda; co-supervisor: Prof. Ricardo Malheiro).

Diogo Pessoa (started 2019). “Automatic Respiratory Function Analysis using Lung Sound and EIT“. Doctoral Program in Information Science and Technology. University of Coimbra. Supervisor (with the co-supervision of Prof. Dr. Paulo de Carvalho and Prof. Dr. Inez Frerichs - University of Kiel, Germany).

Bruno Rocha (started 2015). “Detection of Cough and Adventitious Sounds“. Doctoral Program in Information Science and Technology. University of Coimbra. Supervisor (with the co-supervision of Prof. Dr. Paulo de Carvalho and Prof. Dr. Alda Marques - University of Aveiro, Portugal).

Concluded Doctoral Theses:

Pedro Pereira (2022). “Skin Lesion Assessment based on Plenoptic Images for Melanoma Classification“. Doctoral Program in Information Science and Technology. University of Coimbra. Co-Supervisor (Main supervisors: Prof. Dr. Sérgio Faria and Prof. Dr. Rui Fonseca-Pinto).

Renato Panda (2019). “Emotion-based Analysis and Classification of Audio Music“. Doctoral Program in Information Science and Technology. University of Coimbra. Supervisor.

Ricardo Malheiro (2017). “Emotion-based Analysis and Classification of Music Lyrics“. Doctoral Program in Information Science and Technology. University of Coimbra. Supervisor (with the co-supervision of Prof. Dr. Paulo Gomes).

Ricardo Couceiro (2015). “Cardiovascular Performance Assessment for p-Health Applications“. Doctoral Program in Information Science and Technology. University of Coimbra. Undergoing research. Co-supervisor (main supervisor: Prof. Dr. Paulo de Carvalho).

Frerichs I., Zhao Z., Dai M., Braun F., Proença M., Rapin M., Wacker J., Lemay M., Haris K., Petmezas G., Cheimariotis G.-A., Lekka I., Maglaveras N., Strodthoff C., Vogt B., Lasarow L., Weiler N., Pessoa D., Rocha B. M., Carvalho P., Paiva R. P. & Adler A. (2022). “Respiratory Image Analysis”. In Paiva, Carvalho & Kilintzis (Eds.), Wearable Sensing and Intelligent Data Analysis for Respiratory Management (Chapter 6, pp. 169-212). Academic Press (Elsevier). DOI: 10.1016/B978-0-12-823447-1.00001-4.

Pessoa D., Rocha B. M., Carvalho P. ^ Paiva R. P. (2022). “Automated Respiratory Sound Analysis”. In Paiva, Carvalho & Kilintzis (Eds.), Wearable Sensing and Intelligent Data Analysis for Respiratory Management (Chapter 5, pp. 123-168). Academic Press (Elsevier). DOI: 10.1016/B978-0-12-823447-1.00003-8.

Pessoa D., Rocha B. M., Gomes M., Rodrigues G., Petmezas G., Cheimariotis G.-A., Maglaveras N., Mar-ques A., Frerichs I., Carvalho P. & Paiva R. P. (2024). “Ensemble deep learning model for dimensionless respiratory airflow estimation using respiratory sound”. Biomedical Signal Processing and Control, Vol. 87(A), pp. 105451. DOI: 10.1016/j.bspc.2023.105451.

Wu Y., Rocha B. M., Kaimakamis E., Cheimariotis G.-A., Petmezas G., Chatzis E., Kilintzis V., Stefanopoulos L., Pessoa D., Marques A., Carvalho P., Paiva R. P., Kotoulas S., Bitzani M., Katsaggelos A. K. & Maglaveras N. (2024). “A deep learning method for predicting the COVID-19 ICU patient outcome fusing X-rays, respiratory sounds, and ICU parameters”. Expert Systems with Applications, Vol. 235, pp. 121089. DOI: 10.1016/j.eswa.2023.121089.

Pessoa D., Rocha B. M., Strodthoff C., Gomes M., Rodrigues G., Petmezas G., Cheimariotis G.-A., Kilintzis V., Kaimakamis E., Maglaveras N., Marques A., Frerichs I., Carvalho P. & Paiva R. P. (2023). “BRACETS: Bimodal Repository of Auscultation Coupled with Electrical Impedance Thoracic Signals”. Computer Methods and Programs in Biomedicine, Vol. 240, pp. 107720. DOI: 10.1016/j.cmpb.2023.107720.

Frerichs I., Paradiso R., Kilintzis V., Rocha B. M., Braun F., Rapin M., Caldani L., Beredimas N., Trechlis R., Suursalu S., Strodthoff C., Pessoa D., Chételat O., Paiva R. P., Carvalho P., Maglaveras N., Weiler N. & Wacker J. (2023). “Wearable pulmonary monitoring system with integrated functional lung imaging and chest sound recording: a clinical investigation in healthy subjects”. Physiological Measurement, Vol. 44(4), pp. 045002. DOI: 10.1088/1361-6579/acc82a.

Rocha B. M., Pessoa D., Marques A., Carvalho P. & R. P. Paiva (2023). “Automatic Wheeze Segmentation Using Harmonic-Percussive Source Separation and Empirical Mode Decomposition”. IEEE Journal of Biomedical and Health Informatics, Vol. 27(4), pp. 1926-1934. DOI: 10.1109/JBHI.2023.3248265.

Panda R., Malheiro R. & Paiva R. P. (2023). “Audio Features for Music Emotion Recognition: a Survey”. IEEE Transactions on Affective Computing, Vol. 14(1), pp. 68-88. DOI: 10.1109/TAFFC.2020.3032373.

Pereira P., Thomaz L., Távora L., Assunção P., Fonseca-Pinto R., Paiva R. P. & Faria S. (2022). “Multiple Instance Learning Using 3D Features for Melanoma Detection”. IEEE Access, Vol. 10, pp. 76296-76309. DOI: 10.1109/ACCESS.2022.3192444.

Petmezas G., Cheimariotis G.-A..; Stefanopoulos L.; Rocha B. M..; Paiva R. P., Katsaggelos A. & Maglaveras N. (2022). “Automated Lung Sound Classification Using a Hybrid CNN-LSTM Network and Focal Loss Function”. Sensors, Vol. 22(3), 1232, MDPI. DOI: 10.3390/s22031232.

Pereira P., Thomaz L., Távora L., Assunção P., Fonseca-Pinto R., Paiva R. P. & Faria S. (2022). “Melanoma classification using light-Fields with morlet scattering transform and CNN: Surface depth as a valuable tool to increase detection rate”. Medical Image Analysis, Vol. 75, pp. 102254, Elservier. DOI: 10.1016/j.media.2021.102254.

Haris K., Vogt B., Strodthoff C., Pessoa, D., Cheimariotis, G.-A., Rocha B., Petmezas G., Weiler N., Paiva R. P., Carvalho P., Maglaveras N. & Frerichs I. (2021). “Identification and analysis of stable breathing periods in electrical impedance to-mography recordings”. Physiological Measurement, Vol. 42(3), pp. 064003, IOP Science. DOI: 10.1088/1361-6579

Rocha B. M., Pessoa D., Marques A., Carvalho P. & Paiva R. P. (2021). “Automatic Classification of Adventitious Respiratory Sounds: A (Un)Solved Problem?”. Sensors, Vol. 21(1), 57, MDPI. DOI: 10.3390/s21010057

Panda R., Malheiro R. & Paiva R. P. (2020). “Novel audio features for music emotion recognition”. IEEE Transactions on Affective Computing, Vol. 11(4), pp. 614-626. DOI: 10.1109/TAFFC.2018.2820691.

Yilmaz G., Rapin M., Pessoa D., Rocha B., de Sousa A., Rusconi R., Carvalho P., Wacker J., Paiva R. P. & Chételat O. (2020). “A Wearable Stethoscope for Long-Term Ambulatory Respiratory Health Moni-toring”. Sensors, Vol. 20(18), 5124, MDPI. DOI: 10.3390/s20185124.

Pereira P., Fonseca-Pinto R., Paiva R. P., Assunção P., Távora L., Thomaz L. & Faria S. (2020). “Dermoscopic skin lesion image segmentation based on Local Binary Pattern clustering: comparative study”. Biomedical Signal Processing and Control, Vol. 59, pp. 101924, Elservier, DOI: 10.1016/j.bspc.2020.101924.

Pereira P., Fonseca-Pinto R., Paiva R. P., Assunção P., Távora L., Thomaz L. & Faria S. (2020). “Skin Lesion Classication Enhancement Using Border-Line Features - the Melanoma vs Nevus problem”. Biomedical Signal Processing and Control, Vol. 57, pp. 101765, Elservier, DOI: 10.1016/j.bspc.2019.101765.

Rocha B. M., Filos D., Mendes L., Serbes G., Ulukaya S., Kahya Y. P., Jakovljevic N., Turukalo T. L., Vogiatzis I. M., Perantoni E., Kaimakamis E., Natsiavas P., Oliveira A., Jácome C., Marques A., Maglaveras N., Paiva R. P., Chouvarda I. & Carvalho P. (2019). “An Open Access Database for the Evaluation of Respiratory Sound Classification Algorithms”. Physiological Measurement, Vol. 40(3), pp. 035001, DOI: 10.1088/1361-6579/ab03ea.

Malheiro R., Panda R., Gomes P. & Paiva R. P. (2018). “Emotionally-Relevant Features for Classification and Regression of Music Lyrics”. IEEE Transactions on Affective Computing, Vol. 9(2), pp. 240-254, DOI:10.1109/TAFFC.2016.2598569.

Couceiro R., Carvalho P., Paiva R. P., Muehlsteff J., Henriques J., Eickholt C., Brinkmeyer C., Kelm M. & Meyer C. (2016). “Real Time Prediction of Neurally Mediated Syncope”. IEEE Journal of Biomedical and Health Informatics, accepted for publication, Vol. 20 (2), pp. 508-520.

Vogt B., Mendes L., Chouvarda I., Perantoni E., Kaimakamis E., Becher T., Weiler N., Tsara V., Paiva R. P., Maglaveras N. & Frerichs I. (2016). “Influence of torso and arm positions on chest examinations by electrical impedance tomography”. Physiological Measurement, Vol. 37 (6), pp. 904-921, IOP Publishing.

Couceiro R., Carvalho P., Paiva R. P., Henriques J., Quintal I., Antunes M., Muehlsteff J., Eickholt C., Brinkmeyer C., Kelm M. & Meyer C. (2015). “Assessment of Cardiovascular Function from Multi-Gaussian Fitting of Finger Photoplethysmogram”. Physiological Measurement, Vol. 36 (9), pp. 1801-1825, IOP Science.

Panda R., Rocha B., Paiva R. P. (2015). “Music Emotion Recognition with Standard and Melodic Audio Features”. Applied Artificial Intelligence, Vol. 29:4, pp. 313-334, Taylor & Francis.

Couceiro R., Carvalho P., Paiva R. P., Henriques J. & Muehlsteff J. (2014). “Detection of motion artifact patterns in photoplethysmographic signals based on time and period domain analysis”. Physiological Measurement, Vol. 35, pp. 2369-2388, IOP Science.

Paiva R. P., Carvalho P., Couceiro R., Henriques J., Antunes M., Quintal I. & Muehlsteff J. (2012). “Beat-to-Beat Systolic Time-Interval Measurement from Heart Sounds and ECG”. Physiological Measurement, Vol. 33, pp. 177-194, IOP Science.

Kumar D., Carvalho P., Antunes M., Paiva R. P. & Henriques J. (2011). “Noise Detection during Heart Sound Recording using Periodicity Signatures”. Physiological Measurement, Vol. 32, pp. 599-618, IOP Science.

Paiva R. P., Mendes T. & Cardoso A. (2008). “From Pitches to Notes: Creation and Segmentation of Pitch Tracks for Melody Detection in Polyphonic Audio”. Journal of New Music Research, Vol. 37, No. 3, pp 185-205, Taylor and Francis.

Paiva R. P., Mendes T. & Cardoso A. (2006). “Melody Detection in Polyphonic Musical Signals: Exploiting Perceptual Rules, Note Salience and Melodic Smoothness”. Computer Music Journal, Vol. 30, No. 4, pp. 80-98, MIT Press.

Paiva R. P., Dourado A. & Duarte B. (2004). “Quality Prediction in Pulp Bleaching: Application of a Neuro-Fuzzy System”. Control Engineering Practice, Vol. 12 (5), pp. 587-594, Elsevier.

Paiva R. P. & Dourado A. (2004). “Interpretability and Learning in Neuro-Fuzzy Systems”. Fuzzy Sets and Systems, Vol. 147 (1), pp. 17-38, Elsevier.

Malheiro R., Paiva R. P., Mendes A. J., Mendes T. e Cardoso A. (2004). “Sistemas de Classificação Musical com Redes Neuronais”. Gestão e Desenvolvimento, Vol. 12, pp. 167-195, Universidade Católica Portuguesa. (in Portuguese).

Paiva R. P. & Dourado A. (2001). “Structure and Parameter Learning of Neuro-Fuzzy Systems: A Methodology and a Comparative Study”. Journal of Intelligent and Fuzzy Systems, Vol. 11 (3,4), pp 147-161, IOS Press.

2023

Pessoa D., Petmezas G., Papageorgiou V. E., Rocha B. M., Stefanopoulos L., Kilintzis V., Maglaveras N., Frerichs I., Carvalho P. & Paiva R. P. (2023). “Pediatric Respiratory Sound Classification Using a Dual Input Deep Learning Architecture: the IEEE BioCAS 2023 Grand Challenge”. IEEE Biomedical Circuits and Systems Conference – IEEE BioCAS 2023, Toronto, Canada, October 19 21.

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2022

Frerichs I., Wacker J., Paradiso R., Kilintzis V., Rocha B. M., Braun F., Rapin M., Caldani L., Beredimas N., Trechlis R., Strodthoff C., Paiva R. P., Maglaveras N. & Weiler N. (2022). “Wearable lung monitoring device with integrated non-invasive chest imaging and sound recording: a clinical validation study”. European Respiratory Society International Congress – ERS 2022, Barcelona, Spain, September 4-6.

Fernandes T., Rocha B. M., Pessoa D., Carvalho P. & Paiva R. P. (2022). “Classification of Adventitious Respiratory Sound Events: A Stratified Analysis”. IEEE-EMBS International Conference on Biomedical and Health Informatics – BHI 2022, Ioannina, Greece, September 27-30.

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2021

Pessoa D., Rocha B. M., Cheimariotis G.-A., Haris K., Strodthoff C., Kaimakamis E., Maglaveras M., Frerichs I., Carvalho P. & Paiva R. P. (2021). “Classification of Electrical Impedance Tomography Data Using Machine Learning”. 43rd International Conference of the IEEE Engineering in Medicine and Biology Society – EMBC 2021, November 1 5 (virtual conference).

Rocha B. M., Pessoa D., Cheimariotis G.-A., Kaimakamis E., Kotoulas S.-C., Tzimou M., Maglaveras N., Marques A., Carvalho P. & Paiva R. P. (2021). “Detection of squawks in respiratory sounds of mechanically ventilated COVID-19 patients”. 43rd International Conference of the IEEE Engineering in Medicine and Biology Society – EMBC 2021, November 1 5 (virtual conference).

Pereira P., Thomaz L. A., Tavora L., Assunção P., Fonseca-Pinto R., Paiva R. P. & Faria S. (2021). “Skin lesion classification using features of 3D border lines”. Skin lesion classification using features of 3D border lines. 43rd International Conference of the IEEE Engineering in Medicine and Biology Society – EMBC 2021, November 1 5 (virtual conference).

Panda R., Redinho H., Gonçalves C., Malheiro R. & Paiva R. P. (2021). “How Does the Spotify API Compare to the Music Emotion Recognition State-of-the-Art?”. Proceedings of the 18th Sound and Music Computing Conference – SMC 2021, June 29 – July 1 (virtual conference).

Pereira P., Thomaz L. A., Tavora L., Assunção P., Fonseca-Pinto R., Paiva R. P. & Faria S. (2021). “Skin Lesion Classification using Bag-of-3D-Features”. 2021 Telecoms Conference – ConfTELE 2021, Leira, Portugal, February 11-12 (virtual conference).

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2020

Rocha B. M., Pessoa D., Marques A., Carvalho P. & Paiva R. P. (2020). “Influence of Event Duration on Automatic Wheeze Classification”. 25th International Conference on Pattern Recognition – ICPR 2020, Milan, Italy, January 10-15 (virtual conference).

Rocha B. M., Pessoa D., Marques A., Carvalho P. & Paiva R. P. (2020). “Personalized Detection of Explosive Cough Events in Patients With Pulmonary Disease”. 20th IEEE Mediterranean Electrotechnical Conference – MELECON 2020, Palermo, Italy, June 16-18.

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2019

Paiva R. P., Rocha B. M., Teixeira C., Henriques J. & Carvalho P. (2019). “Feature Engineering for the Detection and Classification of Respiratory Sounds”. XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019, Coimbra, Portugal, September 26-28.

Pereira P., Fonseca-Pinto R., Paiva R. P., Távora L., Assunção P. & Faria S. (2019). “Accurate Segmentation of Dermoscopic Images based on Local Binary Pattern Clustering”. 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics – MIPRO 2019, Opatija, Croatia, May 20-24.

Pereira P., Távora L., Fonseca-Pinto R., Paiva R. P., Assunção P. & Faria S. (2019). “Image Segmentation using Gradient-based Histogram Thresholding for Skin Lesion Delineation”. 6th International Conference on Bioimaging – BIOIMAGING 2019, Prague, Czech Republic, February 22-24.

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2018

Pereira P., Fonseca-Pinto R., Paiva R. P., Távora L., Assunção P. & Faria S. (2018). “Transfer Learning of ImageNet Neural Network for Pigmented Skin Lesion Detection”. 24th Portuguese Conference on Pattern Recognition – RECPAD 2018, Coimbra, Portugal, October 26.

Panda R., Malheiro R. & Paiva R. P. (2018). “Musical Texture and Expressivity Features for Music Emotion Recognition”. 19th International Society for Music Information Retrieval Conference – ISMIR 2018, Paris, France, September 23-27.

Pedroso A., Lopes B. L., Correia J., Araújo F., Cardoso J. & Paiva R. P. (2018). “A Data Mining Service for Non-Programmers"”. 10th International Conference on Knowledge Discovery and Information Retrieval – KDIR 2018, Seville, Spain, September 18-20.
Errata

Lopes B. L., Pedroso A., Correia J., Araújo F., Cardoso J. & Paiva R. P. (2018). “DataScience4NP - A Data Science Service for Non-Programmers"”. 10º Simpósio de Informática – INForum 2018, Coimbra, Portugal, September 3-4.

Fernandes J. T., Rocha B., Paiva R. P. & Cruz T. J. (2018). “Using Low Cost Embedded Systems for Respiratory Sounds Auscultation”. 15th International Symposium on Wireless Communication Systems – ISWCS 2018, Lisbon, Portugal, August 28-31.

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2017

Rocha B., Filos D., Mendes L., Vogiatzis I., Perantoni E., Kaimakamis E., Natsiavas P., Oliveira A., Jácome C., Marques A., Paiva R. P., Chouvarda I., Carvalho P. & Maglaveras N. (2017). “Respiratory Sound Database for the Development of Automated Classification”. International Conference on Biomedical and Health Informatics – ICBHI 2017, Thessaloniki, Greece.

Rocha B., Mendes L., Chouvarda I., Carvalho P. & Paiva R. P. (2017). “Detection of Cough and Adventitious Respiratory Sounds in Audio Recordings by Internal Sound Analysis”. International Conference on Biomedical and Health Informatics – ICBHI 2017, Thessaloniki, Greece.

Filipe R., Paiva R.P. & Araujo F. (2017). “Client-Side Black-Box Monitoring for Web Sites”. The 16th IEEE International Symposium on Network Computing and Applications - NCA 2017, Cambridge, MA, USA.

Couceiro R., Henriques J., Paiva R. P., Antunes M., Carvalho P. (2017). “Physiologically Motivated Detection of Atrial Fibrillation”. 39th Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC 2017, JeJu Island, S. Korea.

Rocha B., Mendes L., Couceiro R., Henriques J., Carvalho P., Paiva R. P. (2017). “Detection of Explosive Cough Events in Audio Recordings by Internal Sound Analysis”. 39th Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC 2017, JeJu Island, S. Korea.

Lasarow L., Vogt B., Mendes L., Chouvarda I., Perantoni E., Kaimakamis E., Weiler N., Paiva R. P., Maglaveras N., Frerichs I. (2017). “Inhomogenität der regionalen Ventilationsverteilung während der forcierten Inspiration gemessen mittels elektrischer Impedanztomografie bei COPD-Patienten”. 58th Congress of the German Society for Pneumology and Respiratory Medicine – DGP 2017.

Carvalho P., Mendes L., Maglaveras N., Chouvarda I., Henriques J., Teixeira C., Paiva R. P. (2017). “Machine Learning and Multiparametric Analysis of Cardiorespiratory Biosignals and Environmental Parameters”. IEEE International Conference on Biomedical and Health Informatics – BHI 2017, Orlando, USA.

Mendes L., Chouvarda I., Maglaveras N., Teixeira C., Henriques J, Carvalho, P. & Paiva R.P. (2017). “Detection of wheezes and crackles using a multi feature approach”. 5th IEEE Portuguese BioEngineering Meeting – ENBENG 2017, Coimbra, Portugal.

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2016

Malheiro R., Panda R., Gomes P. & Paiva R. P. (2016). “Classification and Regression of Music Lyrics: Emotionally-Significant Features”. 8th International Conference on Knowledge Discovery and Information Retrieval – KDIR'2016, Porto, Portugal.

Malheiro R., Oliveira H. G., Gomes P. & Paiva R. P. (2016). “Keyword-Based Approach for Lyrics Emotion Variation Detection”. 8th International Conference on Knowledge Discovery and Information Retrieval – KDIR'2016, Porto, Portugal.

Malheiro R., Panda R., Gomes P. & Paiva R. P. (2016). “Bi-Modal Music Emotion Recognition: Novel Lyrical Features and Dataset”. 9th International Workshop on Music and Machine Learning – MML'2016 – in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases – ECML/PKDD 2016, Riva del Garda, Italy.

Mendes L., Vogiatzis I., Perantoni E., Kaimakamis E., Chouvarda I., Maglaveras N., Henriques J., Carvalho P. & Paiva R. P. (2016). “Detection of Crackle Events Using a Multi-Feature Approach”. 38th Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC'2016, Orlando, USA.

Trenk F., Mendes L., Carvalho P., Paiva R. P. & Teixeira C. (2016). “Evaluation of Lung Ventilation Distribution in Chronic Obstructive Pulmonary Disease Patients Using the Global Inhomogeneity Index”. 38th Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC'2016, Orlando, USA.

Leal A., Chouvarda I., Maglaveras N., Henriques J., Paiva R. P., Carvalho P., Teixeira C., & Couceiro R. (2016). “Detection of Different Types of Noise in Lung Sounds”. 38th Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC'2016, Orlando, USA.

Nunes D., Leal A., Henriques J., Paiva R. P., Carvalho P., Teixeira C. & Couceiro R. (2016). “An accurate and real-time ECG noise detection methodology”. 38th Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC'2016, Orlando, USA.

Carvalho P., Henriques J., Paiva R. P., Teixeira C., Ruano M. G., Rocha T., Paredes S., Bianchi A. M., Barbieri R., Traver V. & Martínez-Romero A. (2016). “Opportunities and Challenges for Research on Intelligent Algorithms for Phealth”. 38th Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC'2016, Orlando, USA.

Carvalho P., Henriques J., Paiva R. P., Teixeira C., Rocha T., Paredes S., Ruano M. G., Bianchi A., Traver-Salcedo V. & Martinez-Romero A. (2016). “LINK: Linking Excellence in Biomedical knowledge and Computational Intelligence Research for personalized management of CVD within PHC”. Pan American Health Care Exchanges – PAHCE'2016, Madrid, Spain.

Henriques J., Carvalho P., Paiva R. P., Teixeira C., Rocha T., Paredes S., Ruano M. G., Bianchi A., Traver-Salcedo V. & Martinez-Romero A. (2016). “Research on algorithms and models for pHealth applications: opportunities and challenges”. Pan American Health Care Exchanges – PAHCE'2016, Madrid, Spain.

Couceiro R., Carvalho P., Paiva R. P., Muehlsteff J., Henriques J., Willems S., Peiker C., & Meyer C. (2016). “Evaluation of a PPG-based algorithm for prediction of Neurally Mediated Syncope”. IEEE International Conference on Biomedical and Health Informatics – BHI'2016, Las Vegas, USA.

Carvalho P., Henriques J., Teixeira C., Couceiro R., Rocha T., Mendes L., Nunes D., Chouvarda I., Maglaveras N., & Paiva R. P. (2016). “Biodata analytics for COPD”. IEEE International Conference on Biomedical and Health Informatics – BHI'2016, Las Vegas, USA.

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2015

Leal A., Teixeira C., Chouvarda I., Maglaveras N., Henriques J., Paiva R. P. & Carvalho P. (2015). “A multi-feature approach for noise detection in lung sounds”. International Conference on Biomedical and Health Informatics (ICBHI'2015), Haikou, China.

Couceiro R., Carvalho P., Henriques J., Paiva R. P. & Antunes M. (2015). “Detection of Atrial Fibrillation using 12-lead ECG for Mobile Applications”. International Conference on Biomedical and Health Informatics (ICBHI'2015), Haikou, China.

Couceiro R., Carvalho P., Paiva R. P., Muehlsteff J., Henriques J., Willems S., Jungen C & Meyer C. (2015). “Algorithm for Real-time Prediction of Neurally Mediated Syncope Integrating Indexes of Autonomic Modulation”. 2015 (42nd) Computing in Cardiology Conference – CinC 2015, Nice, France, September 6-9.

Mendes L., Vogiatzis I., Perantoni E., Kaimakamis E., Chouvarda I., Maglaveras N., Tsara V., Teixeira C., Carvalho P., Henriques J. & Paiva R. P. (2015). “Detection of wheezes using their signature in the spectrogram space and musical features”. 37th Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC'2015, Milan, Italy.

Paiva R. P., Sapata T., Henriques J., Quintal I., Baptista R., Gonçalves L. & Carvalho P. (2015). “Multi-Channel Audio-Based Estimation of the Pre-Ejection Period”. 37th Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC'2015, Milan, Italy.

Vogt B., Mendes L., Chouvarda I., Perantoni E., Kaimakamis E., Becher T., Weiler N., Tsara V., Paiva R. P., Maglaveras N. & Frerichs I. (2015). “Influence of torso position on chest examinations by electrical impedance tomography”. 16th International Conference on Biomedical Applications of Electrical Impedance Tomography, Neuchatel, Switzerland.

Carvalho P., Paiva R. P., Henriques J., Kumar D., Couceiro R., Sapata T., Quintal I., Baptista R. & Antunes M. (2015). “Acoustic Cardiac Signal Analysis : a toolbox”. 3rd Experiment@International Conference – exp.at’15, Ponta Delgada, Azores, Portugal.

C34. Paiva R. P., Mendes L., Teixeira C., Henriques J. & Carvalho P. (2015). “Audio Signal Processing for Respiratory Evaluation within the WELCOME Project”. XXXI EURO Mini Conference on Improving Healthcare: New Challenges, New Approaches – EURO Mini 2015, Coimbra, Portugal, March 30 - April 1.

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2014

Chouvarda I., Kilintzis V., Haris K., Kaimakamis V., Perantoni E., Maglaveras N., Philip N., Mendes L., Lúcio C., Teixeira C., Henriques J., Carvalho P., Paiva R.P., Chetelat O., Wacker J., Rapin M., Meier C., Porchet, J.-A., D’Arcy S. & Frerichs I. (2014). “Combining Pervasive Technologies and Cloud Computing for COPD and Comorbidities Management”. 4th International Conference on Wireless Mobile Communication and Healthcare – "Transforming healthcare through innovations in mobile and wireless technologies", Athens, Greece.

Lúcio C., Teixeira C. A., Henriques J., Carvalho P. & Paiva R. P. (2014). “Voluntary Cough Detection by Internal Sound Analysis”. 7th International Conference on BioMedical Engineering and Informatics – BMEI 2014, Dalian, China.

Couceiro R., Carvalho P., Paiva R. P., Henriques J., Muehlsteff J., Eickholt C., Brinkmeyer C., Kelm M. & Meyer C. (2014). “Neurally Mediated Syncope Prediction Based on Changes of Cardiovascular Performance Surrogates”. 7th International Conference on BioMedical Engineering and Informatics – BMEI 2014, Dalian, China.

Couceiro R., Carvalho P., Paiva R. P., Muehlsteff J., Henriques J., Eickholt C., Brinkmeyer C., Kelm M. & Meyer C. (2014). “A Novel Multi-Parametric Algorithm for Faint Prediction Integrating Indices of Cardiac Inotropy and Vascular Tone”. 36th Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC'2014, Chicago, USA.

Mendes L., Carvalho P., Teixeira C. A., Paiva R. P. & Henriques J. (2014). “Robust features for detection of crackles: an exploratory study”. 36th Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC'2014, Chicago, USA.

Chouvarda I., Philip N. Y., Natsiavas P., Kilintzis V., Sobnath D., Kayyali R., Henriques J., Paiva R. P., Raptopoulos A., Chételat O. & Maglaveras N. (2014). “WELCOME – Innovative Integrated Care platform using Wearable Sensing and Smart Cloud Computing for COPD patients with Comorbidities”. 36th Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC'2014, Chicago, USA.

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2013

Couceiro R., Carvalho P, Paiva R. P., Henriques J. & Muehlsteff J. (2013). “Detection of motion artifacts in photoplethysmographic signals: Algorithms comparison”. 1st IFMBE International Conference on Health Informatics – ICHI’2013, Vilamoura, Portugal.

Panda R., Malheiro R., Rocha B., Oliveira A. & Paiva R. P. (2013). “Multi-Modal Music Emotion Recognition: A New Dataset, Methodology and Comparative Analysis”. 10th International Symposium on Computer Music Multidisciplinary Research – CMMR’2013, Marseille, France.

Panda R., Rocha B., & Paiva R. P. (2013). “Dimensional Music Emotion Recognition: Combining Standard and Melodic Audio Features”. 10th International Symposium on Computer Music Multidisciplinary Research – CMMR’2013, Marseille, France.

Rocha B., Panda R. & Paiva R. P. (2013). “Music Emotion Recognition: The Importance of Melodic Features”. 6th International Workshop on Music and Machine Learning – MML’2013 – in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases – ECML/PKDD 2013, Prague, Czech Republic.

Malheiro R., Panda R., Gomes P. & Paiva R. P. (2013). “Music Emotion Recognition from Lyrics: A Comparative Study”. 6th International Workshop on Music and Machine Learning – MML’2013 – in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases – ECML/PKDD 2013, Prague, Czech Republic.

Couceiro R., Carvalho P, Paiva R. P., Muehlsteff J., Henriques J., Schulze V., Ritz A., Kelm M. & Meyer C. (2013). “Characterization of Surrogate Parameters for Blood Pressure Regulation in Neurally-Mediated Syncope”. 35th Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC’2013, Osaka, Japan.

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2012

Panda R. & Paiva R. P. (2012). “MIREX 2012: Mood Classifcation Task Submission”. Proceedings of the Music Information Retrieval Exchange – MIREX'2012.

Panda R. & Paiva R. P. (2012). “Music Emotion Classification: Dataset Acquisition and Comparative Analysis”. 15th International Conference on Digital Audio Effects – DAFx ’12, York, UK.

Couceiro R., Carvalho P., Paiva R. P., Henriques J. & Muehlsteff J. (2012). “Detection of motion artifacts in photoplethysmographic signals based on time and period domain analysis”. Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC’2012, San Diego, USA.

Couceiro R., Carvalho P., Paiva R. P., Henriques J., Antunes M., Quintal I. & Muehlsteff J. (2012). “Multi-Gaussian fitting for the assessment of left ventricular ejection time from the Photoplethysmogram”. Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC’2012, San Diego, USA.

Panda R. & Paiva R. P. (2012). “Music Emotion Classification: Analysis of a Classifier Ensemble Approach”.5th International Workshop on Machine Learning and Music – MML ’2012 (at the 29th International Conference on Machine Learning – ICML’2012), Edinburgh, Scotland, UK.

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2011

Cardoso L., Panda R. & Paiva R. P. (2011). “MOODetector: A Prototype Software Tool for Mood-based Playlist Generation”. Simpósio de Informática – INForum 2011.

Couceiro R., Carvalho P., Paiva R. P., Henriques J., Antunes M., Quintal I. & Muehlsteff J. (2011). “Beat-to-beat Cardiac Output inference using heart sounds”. Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC’2011, Boston, USA.

Ramos J. P., Carvalho P., Paiva R. P. & Henriques J. (2011). “Modulation Filtering for Noise Detection in Heart Sound Signals”. Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC’2011, Boston, USA.

Muehlsteff J., Carvalho P., Paiva R. P. & Reiter H. (2011). “Cardiac Status Assessment with a multi-signal sensing device for improved Home-based Congestive Heart Failure Management”. Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC’2011, Boston, USA.

Panda R. & Paiva R. P. (2011). “Automatic Creation of Mood Playlists in the Thayer Plane: a Methodology and a Comparative Study”. 8th Sound and Music Computing Conference – SMC’2011, Padova, Italy.

Santos S., Carvalho P., Paiva R. P., Henriques J. (2011). “Detection of the S2 split using the Hilbert and Wavelet transforms”. Congresso de Métodos Numéricos em Engenharia – CMNE 2011.

Kumar D., Carvalho P., Antunes M., Paiva R. P. & Henriques J. (2011). “An Adaptive Approach to Abnormal Heart Sound Segmentation”. Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing – ICASSP’2011, Prague, Czech Republic.

Panda R. & Paiva R. P. (2011). “Using Support Vector Machines for Automatic Mood Tracking in Audio Music”. Proceedings of the 130th Audio Engineering Society Convention – AES 130, London, UK.

Carvalho P., Paiva R. P., Henriques J., Antunes M., Quintal I. & Muehlsteff  J. (2011). “Robust Characteristic Points for ICG: Definition and Comparative Analysis”. Proceedings of the International Joint Conference on Biomedical Engineering Systems and Technologies – BIOSTEC’2011, Rome, Italy.

Carvalho P., Paiva R. P., Kumar D., Ramos J., Santos S. & Henriques J. (2011). “A Framework for Acoustic Cardiac Signal Analysis”. Proceedings of the International Joint Conference on Biomedical Engineering Systems and Technologies – BIOSTEC’2011, Rome, Italy.

Ramos J. P., Carvalho P., Paiva R. P., Vale L. & Henriques J. (2011). “Intelligent Phonocardiogram Analysis and Representation Tool”. Proceedings of the International Joint Conference on Biomedical Engineering Systems and Technologies – BIOSTEC’2011, Rome, Italy.

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2010

Kumar D., Carvalho P., Couceiro R., Antunes M., Paiva R. P. & Henriques J. (2010). “Heart Murmur Classification using Complexity Signatures”. Proceedings of the International Conference on Pattern Recognition – ICPR’2010.

Carvalho P., Paiva R. P., Couceiro R., Henriques J., M. Antunes, Quintal I. & Muehlsteff J., (2010). “Comparison of Systolic Time Interval Measurement Modalities for Portable Devices”. Proceedings of the Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC’2010, Buenos Aires, Argentina.

Kumar D., Carvalho P., Couceiro R., Antunes M., Paiva R. P. & Henriques J.  (2010). “Heart Murmur Classification with Feature Selection”. Proceedings of the Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC’2010, Buenos Aires, Argentina.

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2009

Paiva R. P., Carvalho P., Henriques J., Antunes M., Muehlsteff J. & Aubert X. (2009). “Assessing PEP and LVET from Heart Sounds: Algorithms and Evaluation”. Proceedings of the Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC’2009, Minneapolis, USA.

Carvalho P., Paiva R. P., Couceiro R., Henriques J., Quintal I., Muehlsteff J., Aubert X., and Antunes M. (2009). “Assessing Systolic Time-Intervals from Heart Sound: a Feasibility Study”. Proceedings of the Int. Conf. of the IEEE Engineering in Medicine and Biology Society – EMBC’2009, Minneapolis, USA.

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2007

Paiva R. P. (2007). “An Approach for Melody Extraction from Polyphonic Audio: Using Perceptual Principles and Melodic Smoothness”. Proceedings of the 154th Meeting of the Acoustical Society of America, New Orleans, USA, November 2007.

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2005

Paiva R. P., Mendes T. & Cardoso A. (2005). “On the Definition of Musical Notes from Pitch Tracks for Melody Detection in Polyphonic Recordings”. Proceedings of the International Conference on Digital Audio Effects – DAFx’05, Madrid, Spain.

Paiva R. P., Mendes T. & Cardoso A. (2005). “On the Detection of Melody Notes in Polyphonic Audio”. Proceedings of the International Conference on Music Information Retrieval – ISMIR’2005, London, UK.

Paiva R. P. (2005). “An Algorithm for Melody Detection in Polyphonic Recordings”. Proceedings of the Music Information Retrieval Exchange – MIREX’2005.

Paiva R. P., Mendes T. & Cardoso A. (2005). “Exploiting Melodic Smoothness for Melody Detection in Polyphonic Audio”. Proceedings of the International Computer Music Conference – ICMC’2005, Barcelona, Spain.

Paiva R. P., Mendes T. & Cardoso A. (2005). “Segmentation of Pitch Tracks for Melody Detection in Polyphonic Audio”. Proceedings of the European Signal Processing Conference – EUSIPCO’2005, Antalya, Turkey.

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2004

Malheiro R., Paiva R. P., Mendes A. J., Mendes T. & Cardoso A. (2004). “A Prototype for Classification of Classical Music using Neural Networks”. Proceedings of the 8th IASTED International Conference on Artificial Intelligence and Soft Computing - ASC’2004, pp. 294-299, Marbella, Spain.

Malheiro R., Paiva R. P., Mendes A. J., Mendes T. & Cardoso A. (2004). “Classification of Recorded Classical Music: A Methodology and a Comparative Study”. Proceedings of the 1st International Symposium on Brain Inspired Cognitive Systems - BICS’2004, Stirling, Scotland, UK.

Paiva R. P., Mendes T. & Cardoso A. (2005). “An Auditory Model Based Approach for Melody Detection in Polyphonic Musical Recordings”. U. K. Wiil (ed.) Computer Music Modeling and Retrieval – CMMR 2004, Esbjerg, Denmark, Lecture Notes in Computer Science, Vol. 3310, pp. 21‑40.

Paiva R. P., Mendes T. & Cardoso A. (2004). “A Methodology for Detection of Melody in Polyphonic Musical Signals”. Proceedings of the 116th Audio Engineering Society Convention – AES 116, Berlim, Germany.

Malheiro R., Paiva R. P., Mendes A. J., Mendes T. & Cardoso A. (2004). “Classification of Recorded Classical Music Using Neural Networks”. Proceedings of the 4th International Symposium on Engineering of Intelligent Systems - EIS’2004, Funchal, Portugal.

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2001

Paiva R. P. & Dourado A. (2001). “Merging and Constrained Learning for Interpretability in Neuro-Fuzzy Systems”. Proceedings of the 1st International Workshop on Hybrid Methods for Adaptive Systems, Tenerife, Spain.

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2000

Paiva R. P. & Dourado A. (2000). “Comparison of Neuro-Fuzzy Structures For System Identification”. Proceedings of the UKACC International Conference on Control - CONTROL’2000, Cambridge, UK.

Paiva R. P., Dourado A. & Duarte B. (2000). “Quality Prediction in Industrial Processes: Application of a Neuro-Fuzzy System”. Proceedings of the 2nd Conference on Management and Control of Production and Logistics - MCPL’2000, Grenoble, France.

Paiva R. P. & Dourado A. (2000). “Development of Interpretable Models through Neuro-Fuzzy Networks”. Proceedings of the 2nd International Symposium on Engineering of Intelligent Systems - EIS’2000, Paisley, Scotland, UK.

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1999

Paiva R. P. & Dourado A. (1999). “Comparação de Estruturas Neuro-Difusas para Identificação de Sistemas”. Actas do 2º Encontro de Engenharia Informática - EEI’99 (Colégio de Informática da Ordem dos Engenheiros), pp. 162-165, Braga, Portugal.

Dourado A., Cardoso A., Gil P., Henriques J., Paiva R. P., Pereira C., Santos A. & Victor J. (1999). “Intelligent Control and Supervision at Centro de Informática e Sistemas da Universidade de Coimbra”. Actas de las XX Jornadas de Automática, pp. 423-426, Salamanca, Spain.

Paiva R. P., Dourado A. & Duarte B. (1999). “Applying Subtractive Clustering for Neuro-Fuzzy Modelling of a Bleaching Plant”. Proceedings of the 5th European Control Conference - ECC’99, Karlsruhe, Germany.

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1998

Paiva R. P., Dourado A. & Duarte B. (1998). “Abordagem Neuro-Difusa para a Modelização de um Sistema de Branqueamento de Pasta de Papel”. Actas do XVI Encontro Nacional da Tecnicelpa – Tecnicelpa’98, pp. 92-100, Covilhã, Portugal.

Paiva R. P., Dourado A. & Duarte, B. (1998). “A Neuro-Fuzzy System for Modelling of a Bleaching Plant”. Proceedings of the 6th European Congress on Fuzzy and Intelligent Techniques - EUFIT’98, Vol. 3, pp 1539-1543, Aachen, Germany.

Paiva R. P. (2013). “An Outline for Quantitative Research Papers”. Scientific Report, Centre of Informatics and Systems of the University of Coimbra, Portugal.

Gómez E., Streich S., Ong B., Paiva R. P., Tappert S., Batke J.-M., Poliner G., Ellis D. & Bello J. P. (2006). “A Quantitative Comparison of Different Approaches for Melody Extraction from Polyphonic Audio Recordings”. Scientific Report, Music Technology Group, Pompeu Fabra University, Spain.

Paiva R. P. (2002). “Content-based Classification and Retrieval of Music: Overview and Research Trends”. Scientific Report, Centre of Informatics and Systems of the University of Coimbra, Portugal.

Paiva R. P. (2013). “Machine Learning: Applications, Process and Techniques”. Tutorial, University of Coimbra (Portugal) / National Polytechnic School (Ecuador).

Paiva R. P. (2013). “How to Write Good Scientific Papers: A Comprehensive Guide”. Tutorial, University of Coimbra (Portugal) / National Polytechnic School (Ecuador).

Paiva R. P. (2013). “How to Write Good Scientific Project Proposals: A Comprehensive Guide”. Tutorial, University of Coimbra (Portugal) / National Polytechnic School (Ecuador).

Paiva R. P. (2013). “Music Data Mining: Automatic Emotion Recognition”. Invited Presentation. Ciclo de Conferencias en Ingeniería Informática, Universidad Central del Ecuador, Quito, Ecuador. October 25, 2013.

Paiva R. P. (2013). “MOODetector: Automatic Music Emotion Recognition”. Invited Presentation. Campus Party Quito 3, Quito, Equador. September 20, 2013.

Paiva R. P. (2013). “Data Mining in the Real-World”. Invited Presentation. Jornadas de Informática, Universidad Central del Ecuador, Quito, Ecuador. July 22, 2013.

Paiva R. P. (2012). “From Music Information Retrieval to Music Emotion Recognition”. Internal Presentation. Center for Informatics and Systems of the University of Coimbra, Portugal.

Paiva R. P. (2010). “MOODetector: A System for Mood-based Classification and Retrieval of Audio Music”. Invited Presentation. 1as. Jornadas de la Sociedad Ibérica de Tecnología Musical, Madrid, Spain. December 2010.

Paiva R. P. (2008). “Music Information Retrieval: Overview and Current Trends”. Invited Presentation. DEI Undercover, Department of Informatics Engineering, University of Coimbra, Portugal. December 10, 2008.

Paiva R. P. (2007). “Melody Detection in Polyphonic Audio”. Invited Presentation. 9th Meeting of APEA - Associação Portuguesa de Engenharia Áudio (national branch of the Audio Engineering Society), Leiria, Portugal. October 20, 2007.