Miquel Perelló Nieto, Ph.D.
Documents
Journals and conferences :
A multi-sensor dataset with annotated activities of daily living recorded in a residential setting. Emma L. Tonkin, Michael Holmes, Hao Song, Niall Twomey, Tom Diethe, Meelis Kull, Miquel Perello Nieto, Massimo Camplani, Sion Hannuna, Xenofon Fafoutis, Ni Zhu, Przemysław R. Woznowski, Gregory J. L. Tourte, Raúl Santos-Rodríguez, Peter A. Flach & Ian Craddock Nature, Scientific Data (Sci Data) 10, 162 (2023). 30th International Conference on Artificial Neural Networks. Artificial Neural Networks and Machine Learning - ICANN 2021. Lecture Notes in Computer Science, vol 12892. Springer.
On the Selection of Loss Functions Under Known Weak Label Models. Bacaicoa-Barber, D., Perello-Nieto, M., Santos-Rodríguez, R., & Cid-Sueiro, J. 30th International Conference on Artificial Neural Networks. Artificial Neural Networks and Machine Learning - ICANN 2021. Lecture Notes in Computer Science, vol 12892. Springer.
Human Activity Recognition Based on Dynamic Active Learning Bi, H, Perello-Nieto, M, Santos-Rodriguez, R & Flach, PA. 2020, IEEE Journal of Biomedical and Health Informatics.
Recycling weak labels for multiclass classification Perello-Nieto, M., Santos-Rodriguez, R., Garcia-Garcia D., Cid-Sueiro, J. 2020, Journal of Neurocomputing (Volume 400, pp. 206-215).
Beyond temperature scaling: Obtaining well-calibrated multiclass probabilities with Dirichlet calibration Kull, M., Perello-Nieto, M., Kängsepp, M., Silva Filho, T., Song, H., Flach, P. 2019, In Advances in Neural Information Processing Systems (pp. 12295-12305). Additional documents: website, ArXiv, video, slides, poster, experiments,
HyperStream: a Workflow Engine for Streaming Data Diethe, T., Kull, M., Twomey, N., Sokol, K., Song, H., Perello-Nieto, M., Tonkin, E. & Flach, P. , 7 Aug 2019, In : arXiv.
Releasing eHealth analytics into the wild: Lessons learnt from the SPHERE project Diethe, T, Nieto, MP, Tonkin, E, Holmes, M, Sokol, K, Twomey, N, Kull, M, Song, H & Flach, P 2018, KDD'18: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery (ACM), pp. 243-252
Adapting Supervised Classification Algorithms to Arbitrary Weak Label Scenarios Miquel Perelló-Nieto, Raúl Santos-Rodríguez and Jesús Cid-Sueiro Advances in Intelligent Data Analysis XVI: 16th International Symposium, IDA 2017, London, UK, October 26–28, 2017, Proceedings. Springer Verlag, pp. 247-259 Additional documents: slides, github
Background Check: A general technique to build more reliable and versatile classifiers Miquel Perelló Nieto, Telmo de Menezes e Silva Filho, Meelis Kull, Peter Flach International Conference on Data Mining (ICDM). 2016. IEEE, Barcelona, Spain, December, 2016. Additional documents: slides (8min), slides (25min), github, project webpage supplementary material
Hands-on Course in Networked Control Systems Josep M. Fuertes, Ricard Villà, Jordi Ayza, Pere Marés, Pau Martí, Manel Velasco, José Yépez, Gina Torres, Miquel Perelló Nieto In 20th Mediterranean Conference on Control and Automation (MED2012), Barcelona, Spain, July, 2012.
Workshops and technical reports :
Towards a methodology for acceptance testing and validation of monitoring bodyworn devices Tonkin, E. L., Perello-Nieto, M., Bi, H. & Vafeas, A. T. IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops 2020). IEEE Computer Society
Analysis of patient domestic activity in recovery from hip or knee replacement surgery: modelling wrist-worn wearable RSSI and accelerometer data in the wild Holmes, M, Song, H, Tonkin, EL, Nieto, MP, Grant, S & Flach, P 2018, The 3rd International Workshop on Knowledge Discovery in Healthcare Data @IJCAI. CEUR Workshop Proceedings
Designing a Practical Course in Networked Control Systems Josep M. Fuertes, Ricard Villà, Jordi Ayza, Pere Marés, Pau Martí, Manel Velasco, José Yépez, Gina Torres, Miquel Perelló Nieto XV Jornadas de Tiempo Real, Santander, Spain, January, 2012.
Design of a Hands-on Course in Networked Control Systems Josep M. Fuertes, Ricard Villà, Jordi Ayza, Pere Marés, Pau Martí, Manel Velasco, José Yépez, Gina Torres, Miquel Perelló Nieto Research report ESAII-RR-12-01, Automatic Control Department, Technical University of Catalonia, report available here, January, 2012.
Ph.D. in Computer Science
Estimating Models' Uncertainty in Supervised and Semi-Supervised Classification Problems. Half-year Ph.D. review Miquel Perelló Nieto Additional documents: github,
Final Project Master's Programme in Machine Learning and Data Mining :
Merging chrominance and luminance in early, medium and late fusion using Convolutional Neural Networks Miquel Perelló Nieto Master's thesis, 2015. Additional documents: slides, github, project webpage
Final Project Degree in Technical Engineer in Computer Systems :
Design of a Platform to Test Distributed Conrol Systems (Catalan) Miquel Perelló Nieto Bachelour's thesis, 2012. Additional documents: slides, informe previ, resum, conference, report, report, google code, github
Final Project High School with specialization on Science and Technology :
Sub-atomic world and particle accelerators (Catalan) Miquel Perelló Nieto High School thesis, 07-02-2004.
Project proposals:
Semi-supervised learning of deep hierarchical hidden representations Miquel Perelló Nieto Research project proposal, 04-03-2015.
Extremely concurrent and distributed acquisition of images and labels Miquel Perelló Nieto Research project proposal, 10-02-2015.
Bachelor's and Master's projects :
Data Mining/Machine Learning :
An analysis of Deep Neural Network training methods Miquel Perelló Nieto Lab of Advanced Topics of Computational Intelligence course, 15-05-2013.
Forecasting Currency Risk Premiums with Artificial Neural Networks in Dow, Ibex35, Stoxx and MCSIW stock markets Miquel Perelló Nieto Seminar on Neural Networks for Finances, 24-06-2013.
Binary Classification of Gaussian Data Miquel Perelló Nieto, Marc A. Garcia Gonzalo Report of Computational Intelligence course, 21-01-2013.
Clustering and factor analysis exercise Miquel Perelló Nieto, Marc A. Garcia Gonzalo Report 1 of Introduction to Machine Learning course, 28-10-2012.
Case-based reasoning exercise Miquel Perelló Nieto, Marc A. Garcia Gonzalo Report 2 of Introduction to Machine Learning course, 19-11-2012.
Supervised classification Miquel Perelló Nieto, Marc A. Garcia Gonzalo Report 3 of Introduction to Machine Learning course, 21-12-2012.
Identifificant nombres escrits Miquel Perelló Nieto, Marc Bergés Garrido Lab 1 of Data Mining course, 15-06-2012.
Caracterització dels compradors del producte "Alfa" i els seus competidors Miquel Perelló Nieto, Marc Bergés Garrido Lab 2 of Data Mining course, 20-06-2012.
Robotics :
Designing an Emotional Basis for Aibo Miquel Perelló Nieto Lab of Cognitive Interaction with Robots course, 18-01-2013. Additional documents: slides, video
Lego Mindstorm Maze Resolving and Optimal Path Return Miquel Perelló Nieto, Emili Boronat Roselló Lab of Robotics course, 27-06-2012.
Computer Vision:
Detection and Recognition of RGB-D and 3D objects Miquel Perelló Nieto Lab 1 of Object Recognition course, 12-04-2013.
Object Recognition Miquel Perelló Nieto, Marc A. Garcia Gonzalo Lab of Computer Vision course, 14-01-2013.
Face detection Miquel Perelló Nieto, Marc A. Garcia Gonzalo Lab of Computer Vision course, 02-12-2012.
Natural Language Processing :
Unsupervised Learning of Multiple Languages Using Recurrent Neural Networks Miquel Perelló Nieto, Mathias Berglund, Tapani Raiko Report of a Research Project in Computer and Information Science, 04-08-2014. Additional documents: slides,
Natural Language Processing Summary Miquel Perelló Nieto Summary of Natural Language Processing course, 04-11-2012.
Classification of documents about organizations Miquel Perelló Nieto, Marc A. Garcia Gonzalo Lab of Natural Language Processing course, 16-12-2012.
Information Retrieval :
Resum de Recuperació de la Informació Miquel Perelló Nieto Summary of Information Retrieval course, 04-11-2012.
Valoració d'eficiència de diferents algorismes de cerca Miquel Perelló Nieto Lab 1 of Information Retrieval course, 07-03-2012.
Eines i Recursos Bioinformatics Miquel Perelló Nieto Lab 2 of Information Retrieval course, 06-04-2012.
Artificial Intelligence :
Busqueda Local Miquel Perelló Nieto, Oscar Rodríguez Pestaña Lab 1 of Artificial Intelligence course, 04-04-2011.
Sistemes Basats en el Coneixement Miquel Perelló Nieto, Oscar Rodríguez Pestaña Lab 2 of Artificial Intelligence course, 02-06-2011.
Recomender system :
Collaborative Filtering: an Empirical Analysis Miquel Perelló Nieto Lab of Self-organizing Agent Systems course, 16-04-2013.
Multiagents system :
Critical assessment of the usefulness of multi-agent technology in health care projects Miquel Perelló Nieto Seminar on Artificial Intelligence, may 2013.
Mutliagent System for a SmartGrid Miquel Perelló Nieto, Emili Boronat Roselló, Marc A. Garcia Gonzalo Lab of Aplications of Artificial Intelligence course, 14-06-2012.
Computer Networks Project
YouRead Perelló Nieto, M., Ferran Alvaro, Daniel Blasco, Rafa Gracia Project of Computer Networks course, 2010.
Networks and O.S. Project
Propuesta Comercial Olmos Alabert, M. ; Perelló Nieto, M. ; Monserrat Nuñez, P. ; Herrero Rosello, A. ; Bertran Logroño, A. ; Requejo García, B. ; Alvaro Saperas, F. ; Exposito Piñol, L. ; Forns Soler, X. ; Fernández Sánchez, M. Lab of Natural Language Processing course, 27-04-2011.
Digital systems and microcontrollers
Control system and digital screen for a motorcycle Perelló Nieto, M., Alejandro Marquez, Jordi Piqueras Project Digital Systems and Microcontrollers course, 02-06-2010.