Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/miguelgfierro/publications

My publications
https://github.com/miguelgfierro/publications

ai artificial-intelligence data-science deep-learning deep-neural-networks humanoid-robots international-conference machine-learning papers proceedings publications research robotics workshop

Last synced: 24 days ago
JSON representation

My publications

Awesome Lists containing this project

README 

        
[![Twitter](https://img.shields.io/twitter/follow/miguelgfierro?style=social)](https://twitter.com/intent/follow?screen_name=miguelgfierro)

[![Linkedin](https://img.shields.io/badge/Linkedin-Follow%20Miguel-blue?logo=linkedin)](https://www.linkedin.com/comm/mynetwork/discovery-see-all?usecase=PEOPLE_FOLLOWS&followMember=miguelgfierro)

[![Blog](https://img.shields.io/badge/Blog-Visit%20miguelgfierro.com-blue.svg)](https://miguelgfierro.com?utm_source=github.com&utm_medium=profile&utm_campaign=publications)



# 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](bibtex/README.md).*



More information about my scientific career can be found on my personal page at [RoboticsLab](http://roboticslab.uc3m.es/roboticslab/people/m-gonzalez-fierro) research group from Universidad Carlos III de Madrid and [ThrishLab](https://www.imperial.ac.uk/morph-lab/) research group from King's College London (now at Imperial College).



## Table of contents



* [Conferences](#conferences)

* [Scientific Journals](#scientific-journals)

* [Theses](#theses)

* [Patents and IP](#patents-and-ip)

* [Books and book chapters](#books-and-book-chapters)

* [Blog posts](#blog-posts)

* [Interviews](#interviews)



## Conferences



\[1\] M. González-Fierro, "Recommenders: Best practices in recommendation systems for gaming", *XGS Data & Applied Sciences Summit*, 2024.



\[2\] M. González-Fierro, "Exploring Uses of AI in Gaming", *Magneto6 Conference, Redmond, US*, 2024.



\[3\] M. González-Fierro, "Transitioning to a Meaningful Artificial Intelligence Career", *AI & ML Community Call, Redmond, US*, 2023.



\[4\] M. González-Fierro, "Tech Entrepreneurship", *TechIE Conference*, 2023.



\[5\] M. González-Fierro, "How to Start a Career in Data Science", *Sci-Tech Day, European University*, 2023.



\[6\] M. González-Fierro, "Applying Graph Neural Networks to Recommendation Systems", *Madrid Machine Learning Meetup*, 2023.



\[7\] F. Zamanian, S. Zhao, P. V. Joshi, D. Anand, M. González-Fierro, S. Antharam, J. Kucera, and L. McGlinn, "How AI can help billions of PlayFab users and game developers to know and retain their players", *Machine Learning and Data Science Conference (MLADS) Fall Redmond*, 2022.



\[8\] M. González-Fierro, "Switching Your Career to Data Science", *Machine Learning and Data Science Conference (MLADS) Fall Redmond*, 2022.



\[9\] P. V. Joshi, A. Argyriou, and M. González-Fierro, "Implementing a Parallel MLOps Test Pipeline for Open Source Development", *MLOps World: Machine Learning in Production*, 2022.



\[10\] P. V. Joshi and M. González-Fierro, "Implementing an Efficient Testing Pipelines for GitHub Repositories with Azure Machine Learning", *Microsoft AI and ML Community Call, Redmond, US*, 2022.



\[11\] M. González-Fierro, "Becoming a T-shaped Data Scientist in Recommendation Systems", *Universidad de Navarra*, 2022.



\[12\] M. González-Fierro, "How to Create Recommendation Systems with the Help of the Recommenders Open-source Repository", *Deeplearning.ai Meetup Amsterdam*, 2022. Available online: https://www.eventbrite.com/e/pie-ai-amsterdam-building-recommenders-open-source-repository-tickets-332757866737



\[13\] M. González-Fierro, "Transitioning to a Data Science Career", *AI & ML Community Call, Microsoft UK*, 2022.



\[14\] M. González-Fierro, "Overcoming the challenges to make Artificial Intelligence omnipresent", *Summer School CEA (Spanish Commission of Automation)*, 2021.



\[15\] M. González-Fierro, "Current Challenges in Artificial Intelligence: Artificial Intelligence in the Industry (in Spanish)", *IEEE Spain & CEA (Spanish Commission of Automation)*, 2021.



\[16\] M. González-Fierro, "The challenges of artificial intelligence in today’s society (in Spanish)", *Universidad Libre de Infantes, Santo Tomás de Villanueva*, 2021. Available online: https://www.slideshare.net/MiguelFierro1/los-retos-de-la-inteligencia-artificial-en-la-sociedad-actual



\[17\] S. Bleik, M. González-Fierro, H. Lu, D. Deng, Y. Chen, H. Spetalnick, T. Wu, and S. Chikkerur, "A Hitchhikers guide to using Transformers for multiple scenarios and languages", *AACL-IJCNLP 2020: The 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing*, 2020. Available online: http://aacl2020.org/program/tutorials/#t5-a-hitchhikers-guide-to-using-transformers-for-multiple-scenarios-and-languages



\[18\] M. González-Fierro, "Knowledge Graph Recommendation Systems For COVID-19", *Toronto Machine Learning Summit*, 2020. Available online: https://www2.slideshare.net/MiguelFierro1/knowledge-graph-recommendation-systems-for-covid19



\[19\] L. Zhang, Z. Shen, J. Lian, C. Wu, M. González-Fierro, A. Argyriou, and T. Wu, "In Search for A Cure: Recommendation with Knowledge Graph on CORD-19", *ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2020 (KDD 2020)*, 2020. Available online: https://dl.acm.org/doi/10.1145/3394486.3406711



\[20\] A. Argyriou, M. González-Fierro, and L. Zhang, "Microsoft Recommenders: Best Practices for Production-Ready Recommendation Systems", *WWW 2020: International World Wide Web Conference Taipei*, 2020. Available online: https://dl.acm.org/doi/abs/10.1145/3366424.3382692



\[21\] M. González-Fierro and A. Argyriou, "Taking Recommendation Systems to The Masses", *Open Data Science Conference ODSC London 2019*, 2019.



\[22\] 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.



\[23\] 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.



\[24\] 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.



\[25\] M. González-Fierro, J. K. Min, C. Pirillo, and A. Umamahesan, "Accelerating recommendation system development with Azure Machine Learning", *Microsoft Ignite Conference 2019 Florida, Orlando*, 2019.



\[26\] L. Zhang, T. Wu, X. Xie, A. Argyriou, M. González-Fierro, and J. Lian, "Building Production-Ready Recommendation System at Scale", *ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2019 (KDD 2019)*, 2019. Available online: https://www.kdd.org/kdd2019/hands-on-tutorials



\[27\] 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.



\[28\] 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



\[29\] 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.



\[30\] 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.



\[31\] 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.



\[32\] G. Iordanescu and M. González-Fierro, "Using Transfer Learning as a Powerful Baseline for Deep Learning", *Deep Learning World Berlin 2018*, 2018.



\[33\] 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.



\[34\] 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



\[35\] G. Iordanescu and M. González-Fierro, "Using Transfer Learning as a Powerful Baseline for Deep Learning", *Predictive Analytics World London 2018*, 2018.



\[36\] M. González-Fierro and A. Taylor, "Spark Made Simple with AZTK", *Brisbane UseR! 2018*, 2018.



\[37\] M. Salvaris, I. Karmanov, and M. González-Fierro, "Training Distributed Deep Learning Models", *Machine Learning and Data Science Conference (MLADS) Spring Redmond 2018*, 2018.



\[38\] 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



\[39\] 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.



\[40\] 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



\[41\] 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.



\[42\] 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



\[43\] A. Taylor and M. González-Fierro, "Deep Learning for Natural Language Processing in R", *Brussels UseR! 2017*, 2017.



\[44\] 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



\[45\] 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



\[46\] 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



\[47\] 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.



\[48\] 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.



\[49\] 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.



\[50\] 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



\[51\] M. González-Fierro, "Leveraging Deep Learning for Applications", *Machine Learning and Data Science Conference (MLADS) Bangalore 2016*, 2016.



\[52\] 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: https://github.com/miguelgfierro/publications/blob/main/docs/gonzalez-fierro2013robust.pdf



\[53\] 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: https://github.com/miguelgfierro/publications/blob/main/docs/gonzalez-fierro2013object.pdf



\[54\] 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: https://github.com/miguelgfierro/publications/blob/main/docs/gonzalez-fierro2013humanoid.pdf



\[55\] 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: https://github.com/miguelgfierro/publications/blob/main/docs/gonzalez-fierro2013evolutionary.pdf



\[56\] 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: https://github.com/miguelgfierro/publications/blob/main/docs/gonzalez-fierro2013complete.pdf



\[57\] 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: https://github.com/miguelgfierro/publications/blob/main/docs/bueno2013distinguishing.pdf



\[58\] 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: https://github.com/miguelgfierro/publications/blob/main/docs/gonzalez-fierro2012dynamic.pdf



\[59\] 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: https://github.com/miguelgfierro/publications/blob/main/docs/victores2013augmented.pdf



\[60\] 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.



\[61\] 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



\[62\] 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: https://github.com/miguelgfierro/publications/blob/main/docs/monje2011modeling.pdf



\[63\] 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: https://github.com/miguelgfierro/publications/blob/main/docs/bueno2011facial.pdf



\[64\] 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: https://github.com/miguelgfierro/publications/blob/main/docs/gonzalez-fierro2010educational.pdf



\[65\] 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: https://github.com/miguelgfierro/publications/blob/main/docs/pena2010sistema.pdf



\[66\] 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: https://github.com/miguelgfierro/publications/blob/main/docs/mateo2010robust.pdf



\[67\] 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: https://github.com/miguelgfierro/publications/blob/main/docs/gonzalez-fierro2009realizacion.pdf



\[68\] 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: https://github.com/miguelgfierro/publications/blob/main/docs/pierro2009human.pdf



\[69\] 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: https://github.com/miguelgfierro/publications/blob/main/docs/pierro2009humanoid.pdf



\[70\] 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: https://github.com/miguelgfierro/publications/blob/main/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



## Theses



\[1\] 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: https://github.com/miguelgfierro/publications/blob/main/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: https://github.com/miguelgfierro/publications/blob/main/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.



## 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.



## Blog posts



I have my [personal blog](https://miguelgfierro.com) 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](https://github.com/miguelgfierro/sciblog).



In addition, some of the posts have code supporting the articles. The code is available in [this repo](https://github.com/miguelgfierro/sciblog_support).



Here there is the list of posts published on my blog and other blogs:



\[1\] M. González-Fierro, "Reverse Learning: How To Learn The AI Used Today In The Industry". 2023. Available online: https://miguelgfierro.com/blog/2023/reverse-learning-how-to-learn-the-ai-used-today-in-the-industry/



\[2\] M. González-Fierro, "From Cloud Solution Architect To Data Scientist In 4 Months". 2023. Available online: https://miguelgfierro.com/blog/2023/from-cloud-solution-architect-to-data-scientist-in-4-months/



\[3\] M. González-Fierro, "The Story Of How Nikolaos Got A Data Science Job In Just 3 Months". 2023. Available online: https://miguelgfierro.com/blog/2023/the-story-of-how-nikolaos-got-a-data-science-job-in-just-3-months/



\[4\] M. González-Fierro, "My Most Popular LinkedIn Posts Of 2022". 2023. Available online: https://miguelgfierro.com/blog/2023/my-most-popular-linkedin-posts-of-2022/



\[5\] M. González-Fierro, "Discover My Day To Day At Microsoft - Doing A Data Science Project". 2022. Available online: https://miguelgfierro.com/blog/2022/discover-my-day-to-day-at-microsoft-doing-a-data-science-project/



\[6\] M. González-Fierro, "An Analysis Of The Adoption Of Top Deep Learning Frameworks". 2022. Available online: https://miguelgfierro.com/blog/2022/an-analysis-of-the-adoption-of-top-deep-learning-frameworks/



\[7\] M. González-Fierro, "My Most Popular LinkedIn Posts Of 2021". 2022. Available online: https://miguelgfierro.com/blog/2022/my-most-popular-linkedin-posts-of-2021/



\[8\] M. González-Fierro, "A Gentle Introduction To Distributed Training With DeepSpeed". 2022. Available online: https://miguelgfierro.com/blog/2022/a-gentle-introduction-to-distributed-training-with-deepspeed/



\[9\] M. González-Fierro, "A Gentle Introduction To Matrix Factorization For Recommendations". 2021. Available online: https://miguelgfierro.com/blog/2021/a-gentle-introduction-to-matrix-factorization-for-recommendations/



\[10\] M. González-Fierro, J. Kahnfeld, L. Zhang, and T. Wu, "AI for Retail: Recommendation". 2021. Available online: https://www.linkedin.com/pulse/ai-retail-recommendation-markus-cozowicz



\[11\] M. González-Fierro, "Understanding The New Project Of Elon Musk, The Tesla Bot". 2021. Available online: https://miguelgfierro.com/blog/2021/understanding-the-new-project-of-elon-musk-the-tesla-bot/



\[12\] M. González-Fierro, "A Gentle Introduction To Fourier Transformers For NLP". 2021. Available online: https://miguelgfierro.com/blog/2021/a-gentle-introduction-to-fourier-transformers-for-nlp/



\[13\] A. Meyster and M. González-Fierro, "Three Unique Ways To Source Top Tech Talent". 2021. Available online: https://miguelgfierro.com/blog/2021/three-unique-ways-to-source-top-tech-talent/



\[14\] M. González-Fierro, "My Personal Quest To Become The Best Version Of Myself". 2021. Available online: https://miguelgfierro.com/blog/2021/my-personal-quest-to-become-the-best-version-of-myself



\[15\] M. González-Fierro, "Book Review: Influence By Robert Cialdini". 2021. Available online: https://miguelgfierro.com/blog/2021/book-review-influence-by-robert-cialdini/



\[16\] A. Meyster and M. González-Fierro, "Technology Is Reducing The Cost Of Education". 2021. Available online: https://miguelgfierro.com/blog/2021/technology-is-reducing-the-cost-of-education/



\[17\] M. González-Fierro, "10 Reasons Why AI Has Developed Faster Than Robotics". 2020. Available online: https://miguelgfierro.com/blog/2020/10-reasons-why-ai-has-developed-faster-than-robotics/



\[18\] F. Wu, J. Yi, Y. Lei, Y. Qiao, L. Zhang, and M. González-Fierro, "A Step-by-Step Guide to the Microsoft News Recommendation Competition". 2020. Available online: https://towardsdatascience.com/a-step-by-step-guide-to-the-microsoft-news-recommendation-competition-700ab00831a



\[19\] M. Cozowicz and M. González-Fierro, "A Gentle Introduction to Contextual Bandits". 2020. Available online: https://miguelgfierro.com/blog/2020/a-gentle-introduction-to-contextual-bandits



\[20\] D. Estévez, J. Isabel, V. G. Pacheco, J. G. Víctores, and M. González-Fierro, "ASROB 10th Anniversary". 2019. Available online: https://miguelgfierro.com/blog/2019/asrob-10th-anniversary/



\[21\] M. González-Fierro, "Understanding the Sequential Recommender SLi-Rec". 2019. Available online: https://miguelgfierro.com/blog/2019/understanding-the-sequential-recommender-sli-rec/



\[22\] M. González-Fierro, "Understanding XLNet and its Implications for NLP". 2019. Available online: https://miguelgfierro.com/blog/2019/understanding-xlnet-and-its-implications-for-nlp/



\[23\] M. González-Fierro, "Revisiting the Revisit of the Unreasonable Effectiveness of Data". 2019. Available online: https://miguelgfierro.com/blog/2019/revisiting-the-revisit-of-the-unreasonable-effectiveness-of-data/



\[24\] S. Graham, L. Zhan, A. Argyriou, and M. González-Fierro, "Scalable personalization on Azure". 2019. Available online: https://docs.microsoft.com/en-us/azure/architecture/example-scenario/ai/scalable-personalization



\[25\] H. Spetalnick, L. Zhan, A. Argyriou, N. Joglekar, J. Min, S. Graham, J. Reynolds, T. Wu, and M. González-Fierro, "Building recommender systems with Azure Machine Learning service". 2019. Available online: https://azure.microsoft.com/en-us/blog/building-recommender-systems-with-azure-machine-learning-service/



\[26\] I. Karmanov and M. González-Fierro, "Cloud-Scale Text Classification With Convolutional Neural Networks". 2019. Available online: https://miguelgfierro.com/blog/2019/cloud-scale-text-classification-with-convolutional-neural-networks/



\[27\] N. Joglekar, J. K. Min, S. Graham, L. Zhan, and M. González-Fierro, "Movie Recommendations on Azure". 2019. Available online: https://docs.microsoft.com/en-us/azure/architecture/example-scenario/ai/movie-recommendations



\[28\] J. K. Min, N. Joglekar, S. Graham, L. Zhan, J. Reynolds, and M. González-Fierro, "Build a Real-Time Recommendation API on Azure". 2018. Available online: https://docs.microsoft.com/en-us/azure/architecture/reference-architectures/ai/real-time-recommendation



\[29\] M. González-Fierro, "Top 35 AI Solutions for Today’s Key Industries". 2018. Available online: https://miguelgfierro.com/blog/2018/top-35-ai-solutions-for-todays-key-industries/



\[30\] M. González-Fierro, "A Gentle Explanation Of Dimensionality Reduction With T-SNE". 2018. Available online: https://miguelgfierro.com/blog/2018/a-gentle-explanation-of-dimensionality-reduction-with-t-sne/



\[31\] N. Joglekar and M. González-Fierro, "Evidence-Based Software Design". 2018. Available online: https://miguelgfierro.com/blog/2018/evidence-based-software-design/



\[32\] M. González-Fierro, "Python Pro Tips: Understanding Explicit Is Better Than Implicit". 2018. Available online: https://miguelgfierro.com/blog/2018/python-pro-tips-understanding-explicit-is-better-than-implicit



\[33\] M. González-Fierro, "Real-Time Fraud Detection". 2018. Available online: https://miguelgfierro.com/blog/2018/real-time-fraud-detection/



\[34\] M. González-Fierro, "A Beginner’s Guide To Python Testing". 2018. Available online: https://miguelgfierro.com/blog/2018/a-beginners-guide-to-python-testing/



\[35\] M. González-Fierro, "Demystifying WebSockets For Real-Time Web Communication". 2018. Available online: https://miguelgfierro.com/blog/2018/demystifying-websockets-for-real-time-web-communication/



\[36\] M. González-Fierro, "Top Mistakes And Learnings From My Startup: Postmortem Samsamia". 2018. Available online: https://miguelgfierro.com/blog/2018/top-mistakes-and-learnings-from-my-startup-postmortem-samsamia/



\[37\] M. González-Fierro, "10 Ethical Issues Of Artificial Intelligence And Robotics". 2018. Available online: https://miguelgfierro.com/blog/2018/10-ethical-issues-of-artificial-intelligence-and-robotics/



\[38\] I. Karmanov, M. Salvaris, M. González-Fierro, and D. Dean, "Comparing Deep Learning Frameworks: A Rosetta Stone Approach". 2018. Available online: https://docs.microsoft.com/en-gb/archive/blogs/machinelearning/comparing-deep-learning-frameworks-a-rosetta-stone-approach



\[39\] M. González-Fierro, "Stock Price Prediction With LSTMs". 2018. Available online: https://miguelgfierro.com/blog/2018/stock-price-prediction-with-lstms/



\[40\] M. González-Fierro, "Introduction To Recommendation Systems With Deep Autoencoders". 2018. Available online: https://miguelgfierro.com/blog/2018/introduction-to-recommendation-systems-with-deep-autoencoders/



\[41\] M. González-Fierro, "A Gentle Introduction To Transfer Learning For Image Classification". 2017. Available online: https://miguelgfierro.com/blog/2017/a-gentle-introduction-to-transfer-learning-for-image-classification/



\[42\] M. González-Fierro, M. Salvaris, G. Ke, and T. Wu, "Lessons Learned From Benchmarking Fast Machine Learning Algorithms". 2017. Available online: https://docs.microsoft.com/en-gb/archive/blogs/machinelearning/lessons-learned-benchmarking-fast-machine-learning-algorithms



\[43\] M. González-Fierro, "Deep Learning For Entrepreneurs". 2017. Available online: https://miguelgfierro.com/blog/2017/deep-learning-for-entrepreneurs/



\[44\] M. González-Fierro, "10 Reasons Why You Should Be Using Git In Software Projects". 2017. Available online: https://miguelgfierro.com/blog/2017/10-reasons-why-you-should-be-using-git-in-software-projects/



\[45\] M. González-Fierro, "Laplace’s Demon And The Scientific Method". 2017. Available online: https://miguelgfierro.com/blog/2017/laplaces-demon-and-the-scientific-method/



\[46\] I. Karmanov and M. González-Fierro, "How To Deploy An Image Classification API Based On Deep Learning". 2017. Available online: https://miguelgfierro.com/blog/2017/how-to-deploy-an-image-classification-api-based-on-deep-learning/



\[47\] M. González-Fierro, Y. Xing, and T. Wu, "Quick-Start Guide to the Data Science Bowl Lung Cancer Detection Challenge, Using Deep Learning, Microsoft Cognitive Toolkit and Azure GPU VMs". 2017. Available online: https://docs.microsoft.com/en-gb/archive/blogs/machinelearning/quick-start-guide-to-the-data-science-bowl-lung-cancer-detection-challenge-using-deep-learning-microsoft-cognitive-toolkit-and-azure-gpu-vms



\[48\] M. González-Fierro, "The Sorcerer’s Apprentice". 2017. Available online: https://miguelgfierro.com/blog/2017/the-sorcerers-apprentice/



\[49\] M. González-Fierro, I. Karmanov, T. Delteil, A. Argyriou, and M. Kaznady, "Cloud-Scale Text Classification with Convolutional Neural Networks on Microsoft Azure". 2017. Available online: https://docs.microsoft.com/en-gb/archive/blogs/machinelearning/cloud-scale-text-classification-with-convolutional-neural-networks-on-microsoft-azure



\[50\] M. González-Fierro, "A Gentle Introduction To Text Classification And Sentiment Analysis". 2017. Available online: https://miguelgfierro.com/blog/2017/a-gentle-introduction-to-text-classification-and-sentiment-analysis/



\[51\] A. Argyriou and M. González-Fierro, "Learnings From AI & Machine Learning Conference NIPS 2016". 2016. Available online: https://miguelgfierro.com/blog/2016/learnings-from-ai-machine-learning-conference-nips-2016/



\[52\] M. González-Fierro, "How To Develop A Data Science Project Using The Lean Startup Method". 2016. Available online: https://miguelgfierro.com/blog/2016/how-to-develop-a-data-science-project-using-the-lean-startup-method/



\[53\] M. González-Fierro, M. Kaznady, R. Jain, T. Wu, and A. Argyriou, "Training Deep Neural Networks on ImageNet Using Microsoft R Server and Azure GPU VMs". 2016. Available online: https://docs.microsoft.com/en-gb/archive/blogs/machinelearning/imagenet-deep-neural-network-training-using-microsoft-r-server-and-azure-gpu-vms



\[54\] M. Kaznady, M. González-Fierro, R. Jain, T. J. Hazen, and T. Wu, "Applying Deep Learning at Cloud Scale, with Microsoft R Server & Azure Data Lake". 2016. Available online: https://docs.microsoft.com/en-gb/archive/blogs/machinelearning/applying-cloud-deep-learning-at-scale-with-microsoft-r-server-azure-data-lake



\[55\] M. González-Fierro, "A Gentle Introduction To Convolutional Neural Networks". 2016. Available online: https://miguelgfierro.com/blog/2016/a-gentle-introduction-to-convolutional-neural-networks/



\[56\] M. Kaznady, R. Jain, T. Wu, M. González-Fierro, and A. Argyriou, "Building Deep Neural Networks in the Cloud with Azure GPU VMs, MXNet and Microsoft R Server". 2016. Available online: https://docs.microsoft.com/en-gb/archive/blogs/machinelearning/building-deep-neural-networks-in-the-cloud-with-azure-gpu-vms-mxnet-and-microsoft-r-server



\[57\] M. González-Fierro, "When To Use Deep Learning In A Data Science Problem". 2016. Available online: https://miguelgfierro.com/blog/2016/when-to-use-deep-learning-in-a-data-science-problem/



\[58\] M. González-Fierro, "How Human Intelligence Works And Why That Makes Us Racists". 2016. Available online: https://miguelgfierro.com/blog/2016/how-human-intelligence-works-and-why-that-makes-us-racists/



\[59\] M. González-Fierro, "A Gentle Introduction To The Basics Of Machine Learning". 2016. Available online: https://miguelgfierro.com/blog/2016/a-gentle-introduction-to-the-basics-of-machine-learning/



\[60\] M. González-Fierro, "Lessons Learned About Marketing While Building A Startup". 2016. Available online: https://miguelgfierro.com/blog/2016/lessons-learned-about-marketing-while-building-a-startup/



\[61\] M. González-Fierro, "The Growth Of Artificial Intelligence In The New Economy". 2016. Available online: https://miguelgfierro.com/blog/2016/the-growth-of-artificial-intelligence-in-the-new-economy/



\[62\] M. González-Fierro, "Is It Possible For A Robot To Have Emotions?" 2016. Available online: https://miguelgfierro.com/blog/2016/is-it-possible-for-a-robot-to-have-emotions/



\[63\] M. González-Fierro, "Why Math Is So Important In Everyone’s Life". 2016. Available online: https://miguelgfierro.com/blog/2016/why-math-is-so-important-in-everyones-life/



\[64\] A. Malmierca and M. González-Fierro, "The Science Behind The New Star Wars Robot: BB-8". 2016. Available online: https://miguelgfierro.com/blog/2016/the-science-behind-the-new-star-wars-robot-bb-8/



\[65\] M. González-Fierro, "A Blog With The Appearance Of A Scientific Paper In Latex". 2015. Available online: https://miguelgfierro.com/blog/2015/a-blog-with-the-appearance-of-a-scientific-paper-in-latex/



\[66\] M. González-Fierro, "The Spanish Startup Ecosystem Will Be More Technological". 2015. Available online: https://miguelgfierro.com/blog/2015/the-spanish-startup-ecosystem-will-be-more-technological/



\[67\] M. González-Fierro, "What Color Is This Dress? The Dressgate Explained". 2015. Available online: https://miguelgfierro.com/blog/2015/what-color-is-this-dress-the-dressgate-explained/



\[68\] M. González-Fierro, T. Nanayakkara, and C. Balaguer, "A Humanoid Robot Ph.D. Thesis Explained To Non Scientists". 2014. Available online: https://miguelgfierro.com/blog/2014/a-humanoid-robot-phd-thesis-explained-to-non-scientists/



\[69\] M. González-Fierro, "What Is Scrum And How To Apply It To A Startup". 2014. Available online: https://miguelgfierro.com/blog/2014/what-is-scrum-and-how-to-apply-it-to-a-startup/



\[70\] M. González-Fierro, "What Makes The Difference Is Not The Experience, But Its Derivative". 2014. Available online: https://miguelgfierro.com/blog/2014/what-makes-the-difference-is-not-the-experience-but-its-derivative/



\[71\] M. González-Fierro, "Dresscovery, The Visual Search App Is Working With Google Glass". 2014. Available online: https://miguelgfierro.com/blog/2014/dresscovery-the-visual-search-app-is-working-with-google-glass/



\[72\] M. González-Fierro, "Dresscovery App Is Out". 2013. Available online: https://miguelgfierro.com/blog/2013/dresscovery-app-is-out/



\[73\] M. González-Fierro, "The Best Image Recognition System For Fashion". 2013. Available online: https://miguelgfierro.com/blog/2013/the-best-image-recognition-system-for-fashion/



\[74\] M. González-Fierro, "Samsamia Is About AI, Pattern Recognition And Machine Learning". 2013. Available online: https://miguelgfierro.com/blog/2013/samsamia-is-about-ai-pattern-recognition-and-machine-learning/



\[75\] M. González-Fierro, "Samsamia At BBVA OpenTalent Event In Buenos Aires". 2013. Available online: https://miguelgfierro.com/blog/2013/samsamia-at-bbva-opentalent-event-in-buenos-aires/



\[76\] M. González-Fierro, "Demoday Of 2020 For 2020 Startup Madrid". 2013. Available online: https://miguelgfierro.com/blog/2013/demoday-of-2020-for-2020-startup-madrid/



## Interviews



\[1\] D. Brinkmann, "From Robotics to Recommender Systems - Miguel Fierro". 2024. Available online: https://www.youtube.com/watch?v=wEmO00ADppw



\[2\] L. H. Zafer, "Miguel Fierro - AI is the New Normal". 2023. Available online: https://podcasts.apple.com/ch/podcast/miguel-fierro-ai-is-the-new-normal/id1613934397?i=1000623771203



\[3\] P. Rolfe, "Faculty Spotlight: Miguel González-Fierro". 2023. Available online: https://www.ie.edu/school-science-technology/news/faculty-spotlight-miguel-gonzalez-fierro/



\[4\] M. Kurovski, "Microsoft Recommenders and LLM-based RecSys with Miguel Fierro". 2023. Available online: https://www.recsperts.com/episodes/17-microsoft-recommenders-and-llm-based-recsys-with-miguel-fierro



\[5\] A. N. Reganti, "Machine Learning Mastery For Career Growth At Top-Tech Corporations". 2023. Available online: https://miguelgfierro.com/blog/2023/machine-learning-mastery-for-career-growth-at-top-tech-corporations/



\[6\] N. Leiser, "Start With Transformers". 2023. Available online: https://miguelgfierro.com/blog/2023/start-with-transformers/



\[7\] S. Juarez, "Building Recommender Systems". 2022. Available online: https://miguelgfierro.com/blog/2022/building-recommender-systems/



\[8\] D. J. Reji, "Recommendation Systems". 2022. Available online: https://miguelgfierro.com/blog/2022/d4-data-podcast-with-miguel-fierro-recommendation-systems/



\[9\] J. Baum, "All About Human Series with Miguel González-Fierro". 2022. Available online: https://www.aitimejournal.com/all-about-human-series



\[10\] S. Nouri, "AI Career Interview Series \#7: Miguel Fierro". 2021. Available online: https://www.linkedin.com/video/event/urn:li:ugcPost:6851333494367502336/



\[11\] A. M. Aditya, "Interview with Miguel González-Fierro, Sr. Data Scientist Lead, Microsoft". 2021. Available online: https://www.aitimejournal.com/@a.m.aditya/interview-with-miguel-gonzalez-fierro-sr-data-scientist-lead-microsoft



\[12\] T. Scarfe, "Miguel Fierro - Recommendation Systems". 2019. Available online: https://www.youtube.com/watch?v=arcelVdJnck



\[13\] Madrid+d, "We have to fight to show that a scientist can change the world (in Spanish)". 2014. Available online: http://www.preproduccion.madrimasd.org/notiweb/entrevistas/hay-que-luchar-demostrar-que-un-cientifico-puede-cambiar-mundo