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README.md 🐛 Dec 31, 2019

README.md

Publications

In this repo, you will find some of the publications that I have done during my career.

NOTE: This document is automatically generated. I use pandoc to convert the publications from bibtex format to markdown. To see how I do it, take a look at this guide.

More information about my scientific career can be found in my personal page at RoboticsLab research group from Universidad Carlos III de Madrid and ThrishLab research group from King's College London (now at Imperial College).

Conferences

[1] M. González-Fierro and A. Argyriou, "Taking Recommendation Systems to The Masses", Open Data Science Conference ODSC London 2019, 2019.

[2] S. Bleik, Y. Chen, E. Awa, M. González-Fierro, and D. Deng, "Deep Learning for Natural Language Processing: From 0 to 100", Machine Learning and Data Science Conference (MLADS) Fall Redmond 2019, 2019.

[3] L. Shao, H. Lu, A. Eswaran, and M. González-Fierro, "Distributed Training of BERT and XLNET Models for Question Answering Using Azure Machine Learning", Machine Learning and Data Science Conference (MLADS) Fall Redmond 2019, 2019.

[4] D. Deng, S. Bleik, E. Awa, J. S. Mathew, and M. González-Fierro, "AI Transformers for State of the Art NLP", Machine Learning and Data Science Conference (MLADS) Fall Redmond 2019, 2019.

[5] M. González-Fierro, J. K. Min, C. Pirillo, and A. Umamahesan, "Accelerating recommendation system development with Azure Machine Learning", Microsoft Ignite Conferece 2019 Florida, Orlando, 2019.

[6] A. Argyriou, M. González-Fierro, J. Lian, T. Wu, X. Xie, and L. Zhang, "Building Production-Ready Recommendation System at Scale", ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2019 (KDD 2019), 2019.

[7] T. Wu, M. González-Fierro, L. Zhang, and N. Joglekar, "Train and operationalize recommender systems on Azure", Machine Learning and Data Science Conference (MLADS) Sprint Redmond 2019, 2019.

[8] M. González-Fierro, "Overcoming Machine Learning Bias through Model Analysis", Data Leadership Summit Conference, 2019. Available online: https://www.slideshare.net/MiguelFierro1/overcoming-machine-learning-bias-through-model-analysis

[9] L. Zhang, G. Williams, T. Wu, M. González-Fierro, and N. Joglekar, "Building and Evaluating a Production-ready Recommendation System", Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) Macau China 2019, 2019.

[10] T. Wu, M. González-Fierro, L. Zhang, and N. Joglekar, "Best Practices for Recommender Systems", Machine Learning and Data Science Conference (MLADS) Fall Redmond 2018, 2018.

[11] N. Joglekar, M. Cozowicz, L. Zhang, A. Argyriou, T. Wu, and M. González-Fierro, "Building and Evaluating a Scalable Recommendation System", Machine Learning and Data Science Conference (MLADS) Fall Redmond 2018, 2018.

[12] G. Iordanescu and M. González-Fierro, "Using Transfer Learning as a Powerful Baseline for Deep Learning", Deep Learning World Berlin 2018, 2018.

[13] M. González-Fierro, D. Dean, M. Salvaris, and I. Karmanov, "Microsoft AI Transformation", 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018), 2018.

[14] M. Salvaris, I. Karmanov, and M. González-Fierro, "Distributed Training on Multi-Node Multi-GPU of Deep Neural Networks", Open Data Science Conference ODSC London 2018, 2018. Available online: https://www.slideshare.net/secret/2t5zCccvMndEui

[15] G. Iordanescu and M. González-Fierro, "Using Transfer Learning as a Powerful Baseline for Deep Learning", Predictive Analytics World London 2018, 2018.

[16] M. González-Fierro and A. Taylor, "Spark Made Simple with AZTK", Brisbane UseR! 2018, 2018.

[17] M. Salvaris, I. Karmanov, and M. González-Fierro, "Training Distributed Deep Learning Models", Machine Learning and Data Science Conference (MLADS) Spring Redmond 2018, 2018.

[18] M. Salvaris, I. Karmanov, and M. González-Fierro, "Distributed Training of Deep Learning Models", Strata Data Conference London, 2018. Available online: https://www.slideshare.net/MiguelFierro1/distributed-training-of-deep-learning-models

[19] Y. Xing, M. González-Fierro, P. Xia, and T. Wu, "Transfer Learning and Fine Tuning of Pre-trained DNN Models on Kaggle Airport Passenger Screening Challenge", The Thirty-First Annual Conference on Neural Information Processing Systems NIPS 2017, 2017.

[20] M. González-Fierro, "Running Intelligent Applications inside a Database: Deep Learning with Python Stored Procedures in SQL", Open Data Science Conference ODSC London 2017, 2017. Available online: https://www.slideshare.net/MiguelFierro1/running-intelligent-applications-inside-a-database-deep-learning-with-python-stored-procedures-in-sql

[21] Y. Xing, M. González-Fierro, P. Xia, and T. Wu, "Transfer Learning and Fine Tuning of Pre-trained DNN Models on Kaggle Airport Passenger Screening Challenge Using Azure Machine Learning Workbench", Machine Learning and Data Science Conference (MLADS) Redmond 2017, 2017.

[22] M. González-Fierro, "Deep Learning for Sales Professionals", Intelligent Cloud GBB Ready Lisbon, 2017. Available online: https://www.slideshare.net/MiguelFierro1/deep-learning-for-sales-professionals

[23] A. Taylor and M. González-Fierro, "Deep Learning for Natural Language Processing in R", Brussels UseR! 2017, 2017.

[24] M. González-Fierro, "Mastering Computer Vision Problems with State-of-the-art Deep Learning", Strata Data Conference London, 2017. Available online: https://www.slideshare.net/MiguelFierro1/mastering-computer-vision-problems-with-stateoftheart-deep-learning

[25] M. Salvaris and M. González-Fierro, "Speeding up Machine Learning Applications with the LightGBM Library", Strata Data Conference London, 2017. Available online: https://www.slideshare.net/MiguelFierro1/speeding-up-machinelearning-applications-with-the-lightgbm-library

[26] M. González-Fierro, "Deep Learning for Lung Cancer Detection", AI Immersion Workshop. Microsoft Build Conference 2017, 2017. Available online: https://www.slideshare.net/MiguelFierro1/deep-learning-for-lung-cancer-detection

[27] M. González-Fierro, Y. Xing, and T. Wu, "Getting Started on a Lung Cancer Detection Competition in One Hour Using Cognitive Toolkit and DSVM", The Data Platform Show, 2017.

[28] M. González-Fierro and D. Dean, "Democratizing Intelligence in the World of Predictive, Cognitive and Advanced Analytics", Data 360 - A Virtual Summit on Data. Data Digital Event Bangalore, 2016.

[29] M. González-Fierro, M. Kaznady, and A. Argyriou, "Implementing Large Scale Image Classification with Deep Learning on the Azure Cloud, Microsoft R Server and Spark", Machine Learning and Data Science Conference (MLADS) Redmond 2016, 2016.

[30] T. Delteil and M. González-Fierro, "Deep Learning for Natural Language Processing", Open Data Science Conference ODSC London 2016, 2016. Available online: https://www.slideshare.net/MiguelFierro1/deep-learning-for-nlp-67182819

[31] M. González-Fierro, "Leveraging Deep Learning for Applications", Machine Learning and Data Science Conference (MLADS) Bangalore 2016, 2016.

[32] M. González-Fierro, C. A. Monje, and C. Balaguer, "Robust Control of a Reduced Humanoid Robot Model using Genetic Algorithms and Fractional Calculus", Mathematical Methods in Engineering International Conference MME2013, 2013, pp. 183-194. Available online: http://miguelgfierro.com/docs/gonzalez-fierro2013robust.pdf

[33] M. González-Fierro, M. A. Maldonado, J. G. Víctores, S. Morante, and C. Balaguer, "Object Tagging for Human-Robot Interaction by Recolorization using Gaussian Mixture Models", Proceedings of Robocity2030 12th Workshop: Robótica Cognitiva, 2013, pp. 67-76. Available online: http://miguelgfierro.com/docs/gonzalez-fierro2013object.pdf

[34] M. González-Fierro, C. Balaguer, N. Swann, and T. Nanayakkara, "A Humanoid Robot Standing Up Through Learning from Demonstration Using a Multimodal Reward Function", IEEE-RAS International Conference on Humanoid Robots, 2013. Humanoids 2013, 2013, pp. 74-79. Available online: http://miguelgfierro.com/docs/gonzalez-fierro2013humanoid.pdf

[35] M. González-Fierro, C. Monje, V. González, and C. Balaguer, "Evolutionary Fractional Order Control of a Humanoid Robot Modeled as a Triple Inverted Pendulum", Proceedings of Robocity2030 11th Workshop: Robots Sociales, 2013, pp. 245-263. Available online: http://miguelgfierro.com/docs/gonzalez-fierro2013evolutionary.pdf

[36] M. González-Fierro, J. Bueno, C. Balaguer, and L. Moreno, "A Complete 3D Perception and Path Planning Architecture for a Humanoid", Proceedings of Robocity2030 11th Workshop: Robots Sociales, 2013, pp. 167-184. Available online: http://miguelgfierro.com/docs/gonzalez-fierro2013complete.pdf

[37] J. Bueno, A. Martín, M. González-Fierro, L. Moreno, and C. Balaguer, "Distinguishing between Similar Objects based on Geometrical Features in 3D Perception", Proceedings of Robocity2030 12th Workshop: Robótica Cognitiva, 2013, pp. 77-92. Available online: http://miguelgfierro.com/docs/bueno2013distinguishing.pdf

[38] M. González-Fierro, D. Hernández, P. Pierro, and C. Balaguer, "Dynamic Modelling of Humanoid Robots Using Spatial Algebra", XXXIII Jornadas de Automática, 2012. Available online: http://miguelgfierro.com/docs/gonzalez-fierro2012dynamic.pdf

[39] J. G. Víctores, S. Morante, M. González-Fierro, and C. Balaguer, "Augmented Reality and Social Interaction platform through Multirobot Design", Proceedings of Robocity2030 11th Workshop: Robots Sociales, 2013, pp. 131-143. Available online: http://miguelgfierro.com/docs/victores2013augmented.pdf

[40] D. Herrero, P. Pierro, M. González-Fierro, D. Hernández, and C. Balaguer, "Perception System for Working with Humanoid Robots in Unstructured Collaborative Scenarios", Proceedings of the 2012 International IEEE Intelligent Vehicles Symposium. Workshops V Perception in Robotics, 2012.

[41] J. G. Bueno, M. González-Fierro, L. Moreno, and C. Balaguer, "Facial Gesture Recognition using Active Appearance Models based on Neural Evolution", 2012 International Conference on Human-Robot Interaction (HRI 2012), 2012, pp. 133-134. Available online: http://doi.acm.org/10.1145/2157689.2157721

[42] C. A. Monje, P. Pierro, T. Ramos, M. González-Fierro, and C. Balaguer, "Modeling and Simulation of the Humanoid Robot HOAP-3 in the OpenHRP3 Platform", Proceedings of Robot 2011. Workshop Robots Humanoides, 2011. Available online: http://miguelgfierro.com/docs/monje2011modeling.pdf

[43] J. G. Bueno, M. González-Fierro, L. Moreno, and C. Balaguer, "Facial Gesture Recognition and Postural Interaction using Neural Evolution Algorithm and Active Appearance Models", Proceedings of Robocity2030 9th Workshop: Robots Colaborativos e Interacción Humano-Robot, 2011, pp. 145-159. Available online: http://miguelgfierro.com/docs/bueno2011facial.pdf

[44] M. González-Fierro, A. Jardón, S. Martínez de la Casa, M. F. Stoelen, J. G. Víctores, and C. Balaguer, "Educational Initiatives Related with the CEABOT Contest", Proceedings of SIMPAR, 2010, pp. 649-658. Available online: http://miguelgfierro.com/docs/gonzalez-fierro2010educational.pdf

[45] A. Peña, D. Hernández, M. González-Fierro, P. Pierro, and C. Balaguer, "Sistema de Visión del Humanoide HOAP-3 para la Detección e Identificación de Objetos Mediante Librerías OpenCV", Proceedings of Robocity2030 7th Workshop: Vision en Robótica, 2010. Available online: http://miguelgfierro.com/docs/pena2010sistema.pdf

[46] A. P. Mateo, M. González-Fierro, D. Hernández, P. Pierro, and C. Balaguer, "Robust Real Time Stabilization: Estabilización de la Imagen con Aplicación en el Robot Humanoide HOAP-3", Proceedings of Robocity2030 7th Workshop: Vision en Robótica, 2010. Available online: http://miguelgfierro.com/docs/mateo2010robust.pdf

[47] M. González-Fierro, P. Pierro, A. Jardón, D. Herrero, and C. Balaguer, "Realización de Tareas Colaborativas entre Robots Humanoides. Experimentación con Dos Robots Robonova", Proceedings of Robocity2030 5th Workshop: Cooperación en Robótica, 2009. Available online: http://miguelgfierro.com/docs/gonzalez-fierro2009realizacion

[48] P. Pierro, D. Hernández, M. González-Fierro, L. Blasi, A. Milani, and C. Balaguer, "A Human-Humanoid Interface for Collaborative Tasks", Proceedings on the Second Workshop for Young Researchers on Human-Friendly Robotics, 2009. Available online: http://miguelgfierro.com/docs/pierro2009human.pdf

[49] P. Pierro, D. Hernández, M. González-Fierro, L. Blasi, A. Milani, and C. Balaguer, "Humanoid Teleoperation System for Space Environments", Advanced Robotics, 2009. ICAR 2009. International Conference on, 2009, pp. 1-6. Available online: http://miguelgfierro.com/docs/pierro2009humanoid.pdf

[50] P. Pierro, M. González-Fierro, and C. Balaguer, "El Proyecto Europeo ROBOT@CWE: Advanced Robotic Systems in Future Collaborative Working Environments", II Workshop de Robótica (ROBOT 2009), 2009.

Scientific Journals

[1] M. González-Fierro, C. Monje, and C. Balaguer, "Fractional Control of a Humanoid Robot Reduced Model with Model Disturbances", Journal of Cybernetics and Systems, vol. 47, n.º 6, pp. 445-459, 2016. Available online: http://www.tandfonline.com/doi/abs/10.1080/01969722.2016.1187031

[2] M. González-Fierro, D. Hernández, T. Nanayakkara, and C. Balaguer, "Behavior Sequencing Based on Demonstrations - a Case of a Humanoid Opening a Door While Walking", Advanced Robotics, vol. 29, n.º 5, pp. 315-329, 2015. Available online: http://dx.doi.org/10.1080/01691864.2014.992955

[3] M. González-Fierro, C. Balaguer, N. Swann, and T. Nanayakkara, "Full-Body Postural Control of a Humanoid Robot with Both Imitation Learning and Skill Innovation", International Journal of Humanoid Robotics, vol. 11, n.º 2, p. 1450012, 2014. Available online: http://dx.doi.org/10.1142/S0219843614500121

[4] J. G. Bueno, M. González-Fierro, L. Moreno, and C. Balaguer, "Facial Emotion Recognition and Adaptative Postural Reaction by a Humanoid based on Neural Evolution", International Journal of Advanced Computer Science, vol. 3, n.º 10, pp. 481-493, 2013. Available online: http://miguelgfierro.com/docs/bueno2013facial.pdf

[5] C. A. Monje, P. Pierro, T. Ramos, M. González-Fierro, and C. Balaguer, "Modeling and Simulation of the Humanoid Robot HOAP-3 in the OpenHRP3 Platform", Cybernetics and Systems, vol. 44, n.º 8, pp. 663-680, 2013. Available online: http://dx.doi.org/10.1080/01969722.2013.832095

Thesis

[1] M. González-Fierro, "Humanoid Robot Control of Complex Postural Tasks Based on Learning From Demonstrations", Ph.D. Thesis, Universidad Carlos III de Madrid, 2014. Available online: http://miguelgfierro.com/docs/gonzalez-fierro2014thesis.pdf

[2] M. González-Fierro, "Dynamic Modeling of Humanoid Robots through Spatial Algebra (in Spanish)", Master’s Thesis, Universidad Carlos III de Madrid, 2009. Available online: http://miguelgfierro.com/docs/gonzalez-fierro2009master.pdf

[3] M. González-Fierro, "Execution of Collaborative Tasks on Robonova using FSRs (in Spanish)", Master’s Thesis, Universidad Carlos III de Madrid, 2008.

Blog posts

I have my personal blog where I write about artificial intelligence, machine learning, technical business and other random stuff that comes to my mind. The blog has been designed to mimic the appearance of a scientific paper. I did it that way to honor my scientific background. The code is open sourced and can be found in this repo.

Here there are some posts that attracted attention:

Patents and IP

[1] M. González-Fierro, "ssm library - Image recognition and similarity for the fashion industry: M-008319/2014", 2014.

Books and book chapters

[1] I. Karmanov and M. González-Fierro, "Recurrent Neural Networks", in Deep Learning with Azure, M. Salvaris, D. Dean, and W. H. Tok, Eds. Apress, 2018, pp. 161-186.

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