{"id":16802312,"url":"https://github.com/miguelgfierro/publications","last_synced_at":"2025-03-17T08:45:08.312Z","repository":{"id":13942983,"uuid":"75418513","full_name":"miguelgfierro/publications","owner":"miguelgfierro","description":"My publications","archived":false,"fork":false,"pushed_at":"2025-01-23T14:35:58.000Z","size":44868,"stargazers_count":7,"open_issues_count":0,"forks_count":3,"subscribers_count":3,"default_branch":"main","last_synced_at":"2025-01-23T15:32:13.906Z","etag":null,"topics":["ai","artificial-intelligence","data-science","deep-learning","deep-neural-networks","humanoid-robots","international-conference","machine-learning","papers","proceedings","publications","research","robotics","workshop"],"latest_commit_sha":null,"homepage":"https://miguelgfierro.com","language":"TeX","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/miguelgfierro.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2016-12-02T17:56:39.000Z","updated_at":"2025-01-23T14:36:03.000Z","dependencies_parsed_at":"2024-05-01T20:51:41.167Z","dependency_job_id":"52eaea12-2be6-4831-94b2-cd27fbab454f","html_url":"https://github.com/miguelgfierro/publications","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/miguelgfierro%2Fpublications","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/miguelgfierro%2Fpublications/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/miguelgfierro%2Fpublications/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/miguelgfierro%2Fpublications/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/miguelgfierro","download_url":"https://codeload.github.com/miguelgfierro/publications/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244005449,"owners_count":20382435,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai","artificial-intelligence","data-science","deep-learning","deep-neural-networks","humanoid-robots","international-conference","machine-learning","papers","proceedings","publications","research","robotics","workshop"],"created_at":"2024-10-13T09:39:15.134Z","updated_at":"2025-03-17T08:45:08.277Z","avatar_url":"https://github.com/miguelgfierro.png","language":"TeX","funding_links":[],"categories":[],"sub_categories":[],"readme":"[![Twitter](https://img.shields.io/twitter/follow/miguelgfierro?style=social)](https://twitter.com/intent/follow?screen_name=miguelgfierro)\n[![Linkedin](https://img.shields.io/badge/Linkedin-Follow%20Miguel-blue?logo=linkedin)](https://www.linkedin.com/comm/mynetwork/discovery-see-all?usecase=PEOPLE_FOLLOWS\u0026followMember=miguelgfierro)\n[![Blog](https://img.shields.io/badge/Blog-Visit%20miguelgfierro.com-blue.svg)](https://miguelgfierro.com?utm_source=github.com\u0026utm_medium=profile\u0026utm_campaign=publications)\n\n# Publications\n\nIn this repo, you will find some of the publications that I have done during my career.\n\n*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).*\n\nMore information about my scientific career can be found on my personal page at [RoboticsLab](https://roboticslab.uc3m.es/author/miguelgfierro/) 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).\n\n## Table of contents\n\n* [Conferences](#conferences)\n* [Scientific Journals](#scientific-journals)\n* [Theses](#theses)\n* [Patents and IP](#patents-and-ip)\n* [Books and book chapters](#books-and-book-chapters)\n* [Blog posts](#blog-posts)\n* [Interviews](#interviews)\n\n## Conferences\n\n\\[1\\] J. Shah and M. González-Fierro, \"Adoption of recommendation systems: Observations, Trends and Leveling the Playing Field\", *RecSys’24, Bari, Italy*, 2024. Available online: \u003ca href=\"https://github.com/miguelgfierro/publications/blob/main/docs/shah2024adoption.pdf\" class=\"uri\" class=\"uri\"\u003ehttps://github.com/miguelgfierro/publications/blob/main/docs/shah2024adoption.pdf\u003c/a\u003e\n\n\\[2\\] M. González-Fierro, \"Recommenders: Best practices in recommendation systems for gaming\", *XGS Data \u0026 Applied Sciences Summit*, 2024.\n\n\\[3\\] M. González-Fierro, \"Exploring Uses of AI in Gaming\", *Magneto6 Conference, Redmond, US*, 2024.\n\n\\[4\\] M. González-Fierro, \"Transitioning to a Meaningful Artificial Intelligence Career\", *AI \u0026 ML Community Call, Redmond, US*, 2023.\n\n\\[5\\] M. González-Fierro, \"Tech Entrepreneurship\", *TechIE Conference*, 2023.\n\n\\[6\\] M. González-Fierro, \"How to Start a Career in Data Science\", *Sci-Tech Day, European University*, 2023.\n\n\\[7\\] M. González-Fierro, \"Applying Graph Neural Networks to Recommendation Systems\", *Madrid Machine Learning Meetup*, 2023.\n\n\\[8\\] 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.\n\n\\[9\\] M. González-Fierro, \"Switching Your Career to Data Science\", *Machine Learning and Data Science Conference (MLADS) Fall Redmond*, 2022.\n\n\\[10\\] 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.\n\n\\[11\\] 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.\n\n\\[12\\] M. González-Fierro, \"Becoming a T-shaped Data Scientist in Recommendation Systems\", *Universidad de Navarra*, 2022.\n\n\\[13\\] M. González-Fierro, \"How to Create Recommendation Systems with the Help of the Recommenders Open-source Repository\", *Deeplearning.ai Meetup Amsterdam*, 2022. Available online: \u003ca href=\"https://www.eventbrite.com/e/pie-ai-amsterdam-building-recommenders-open-source-repository-tickets-332757866737\" class=\"uri\" class=\"uri\"\u003ehttps://www.eventbrite.com/e/pie-ai-amsterdam-building-recommenders-open-source-repository-tickets-332757866737\u003c/a\u003e\n\n\\[14\\] M. González-Fierro, \"Transitioning to a Data Science Career\", *AI \u0026 ML Community Call, Microsoft UK*, 2022.\n\n\\[15\\] M. González-Fierro, \"Overcoming the challenges to make Artificial Intelligence omnipresent\", *Summer School CEA (Spanish Commission of Automation)*, 2021.\n\n\\[16\\] M. González-Fierro, \"Current Challenges in Artificial Intelligence: Artificial Intelligence in the Industry (in Spanish)\", *IEEE Spain \u0026 CEA (Spanish Commission of Automation)*, 2021.\n\n\\[17\\] 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: \u003ca href=\"https://www.slideshare.net/MiguelFierro1/los-retos-de-la-inteligencia-artificial-en-la-sociedad-actual\" class=\"uri\" class=\"uri\"\u003ehttps://www.slideshare.net/MiguelFierro1/los-retos-de-la-inteligencia-artificial-en-la-sociedad-actual\u003c/a\u003e\n\n\\[18\\] 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: \u003ca href=\"http://aacl2020.org/program/tutorials/#t5-a-hitchhikers-guide-to-using-transformers-for-multiple-scenarios-and-languages\" class=\"uri\" class=\"uri\"\u003ehttp://aacl2020.org/program/tutorials/#t5-a-hitchhikers-guide-to-using-transformers-for-multiple-scenarios-and-languages\u003c/a\u003e\n\n\\[19\\] M. González-Fierro, \"Knowledge Graph Recommendation Systems For COVID-19\", *Toronto Machine Learning Summit*, 2020. Available online: \u003ca href=\"https://www2.slideshare.net/MiguelFierro1/knowledge-graph-recommendation-systems-for-covid19\" class=\"uri\" class=\"uri\"\u003ehttps://www2.slideshare.net/MiguelFierro1/knowledge-graph-recommendation-systems-for-covid19\u003c/a\u003e\n\n\\[20\\] 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: \u003ca href=\"https://dl.acm.org/doi/10.1145/3394486.3406711\" class=\"uri\" class=\"uri\"\u003ehttps://dl.acm.org/doi/10.1145/3394486.3406711\u003c/a\u003e\n\n\\[21\\] 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: \u003ca href=\"https://dl.acm.org/doi/abs/10.1145/3366424.3382692\" class=\"uri\" class=\"uri\"\u003ehttps://dl.acm.org/doi/abs/10.1145/3366424.3382692\u003c/a\u003e\n\n\\[22\\] M. González-Fierro and A. Argyriou, \"Taking Recommendation Systems to The Masses\", *Open Data Science Conference ODSC London 2019*, 2019.\n\n\\[23\\] 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.\n\n\\[24\\] 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.\n\n\\[25\\] 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.\n\n\\[26\\] 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.\n\n\\[27\\] 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: \u003ca href=\"https://www.kdd.org/kdd2019/hands-on-tutorials\" class=\"uri\" class=\"uri\"\u003ehttps://www.kdd.org/kdd2019/hands-on-tutorials\u003c/a\u003e\n\n\\[28\\] 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.\n\n\\[29\\] M. González-Fierro, \"Overcoming Machine Learning Bias through Model Analysis\", *Data Leadership Summit Conference*, 2019. Available online: \u003ca href=\"https://www.slideshare.net/MiguelFierro1/overcoming-machine-learning-bias-through-model-analysis\" class=\"uri\" class=\"uri\"\u003ehttps://www.slideshare.net/MiguelFierro1/overcoming-machine-learning-bias-through-model-analysis\u003c/a\u003e\n\n\\[30\\] 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.\n\n\\[31\\] 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.\n\n\\[32\\] 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.\n\n\\[33\\] G. Iordanescu and M. González-Fierro, \"Using Transfer Learning as a Powerful Baseline for Deep Learning\", *Deep Learning World Berlin 2018*, 2018.\n\n\\[34\\] 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.\n\n\\[35\\] 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: \u003ca href=\"https://www.slideshare.net/secret/2t5zCccvMndEui\" class=\"uri\" class=\"uri\"\u003ehttps://www.slideshare.net/secret/2t5zCccvMndEui\u003c/a\u003e\n\n\\[36\\] G. Iordanescu and M. González-Fierro, \"Using Transfer Learning as a Powerful Baseline for Deep Learning\", *Predictive Analytics World London 2018*, 2018.\n\n\\[37\\] M. González-Fierro and A. Taylor, \"Spark Made Simple with AZTK\", *Brisbane UseR! 2018*, 2018.\n\n\\[38\\] M. Salvaris, I. Karmanov, and M. González-Fierro, \"Training Distributed Deep Learning Models\", *Machine Learning and Data Science Conference (MLADS) Spring Redmond 2018*, 2018.\n\n\\[39\\] M. Salvaris, I. Karmanov, and M. González-Fierro, \"Distributed Training of Deep Learning Models\", *Strata Data Conference London*, 2018. Available online: \u003ca href=\"https://www.slideshare.net/MiguelFierro1/distributed-training-of-deep-learning-models\" class=\"uri\" class=\"uri\"\u003ehttps://www.slideshare.net/MiguelFierro1/distributed-training-of-deep-learning-models\u003c/a\u003e\n\n\\[40\\] 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.\n\n\\[41\\] 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: \u003ca href=\"https://www.slideshare.net/MiguelFierro1/running-intelligent-applications-inside-a-database-deep-learning-with-python-stored-procedures-in-sql\" class=\"uri\" class=\"uri\"\u003ehttps://www.slideshare.net/MiguelFierro1/running-intelligent-applications-inside-a-database-deep-learning-with-python-stored-procedures-in-sql\u003c/a\u003e\n\n\\[42\\] 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.\n\n\\[43\\] M. González-Fierro, \"Deep Learning for Sales Professionals\", *Intelligent Cloud GBB Ready Lisbon*, 2017. Available online: \u003ca href=\"https://www.slideshare.net/MiguelFierro1/deep-learning-for-sales-professionals\" class=\"uri\" class=\"uri\"\u003ehttps://www.slideshare.net/MiguelFierro1/deep-learning-for-sales-professionals\u003c/a\u003e\n\n\\[44\\] A. Taylor and M. González-Fierro, \"Deep Learning for Natural Language Processing in R\", *Brussels UseR! 2017*, 2017.\n\n\\[45\\] M. González-Fierro, \"Mastering Computer Vision Problems with State-of-the-art Deep Learning\", *Strata Data Conference London*, 2017. Available online: \u003ca href=\"https://www.slideshare.net/MiguelFierro1/mastering-computer-vision-problems-with-stateoftheart-deep-learning\" class=\"uri\" class=\"uri\"\u003ehttps://www.slideshare.net/MiguelFierro1/mastering-computer-vision-problems-with-stateoftheart-deep-learning\u003c/a\u003e\n\n\\[46\\] M. Salvaris and M. González-Fierro, \"Speeding up Machine Learning Applications with the LightGBM Library\", *Strata Data Conference London*, 2017. Available online: \u003ca href=\"https://www.slideshare.net/MiguelFierro1/speeding-up-machinelearning-applications-with-the-lightgbm-library\" class=\"uri\" class=\"uri\"\u003ehttps://www.slideshare.net/MiguelFierro1/speeding-up-machinelearning-applications-with-the-lightgbm-library\u003c/a\u003e\n\n\\[47\\] M. González-Fierro, \"Deep Learning for Lung Cancer Detection\", *AI Immersion Workshop. Microsoft Build Conference 2017*, 2017. Available online: \u003ca href=\"https://www.slideshare.net/MiguelFierro1/deep-learning-for-lung-cancer-detection\" class=\"uri\" class=\"uri\"\u003ehttps://www.slideshare.net/MiguelFierro1/deep-learning-for-lung-cancer-detection\u003c/a\u003e\n\n\\[48\\] 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.\n\n\\[49\\] 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.\n\n\\[50\\] 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.\n\n\\[51\\] T. Delteil and M. González-Fierro, \"Deep Learning for Natural Language Processing\", *Open Data Science Conference ODSC London 2016*, 2016. Available online: \u003ca href=\"https://www.slideshare.net/MiguelFierro1/deep-learning-for-nlp-67182819\" class=\"uri\" class=\"uri\"\u003ehttps://www.slideshare.net/MiguelFierro1/deep-learning-for-nlp-67182819\u003c/a\u003e\n\n\\[52\\] M. González-Fierro, \"Leveraging Deep Learning for Applications\", *Machine Learning and Data Science Conference (MLADS) Bangalore 2016*, 2016.\n\n\\[53\\] 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: \u003ca href=\"https://github.com/miguelgfierro/publications/blob/main/docs/gonzalez-fierro2013robust.pdf\" class=\"uri\" class=\"uri\"\u003ehttps://github.com/miguelgfierro/publications/blob/main/docs/gonzalez-fierro2013robust.pdf\u003c/a\u003e\n\n\\[54\\] 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: \u003ca href=\"https://github.com/miguelgfierro/publications/blob/main/docs/gonzalez-fierro2013object.pdf\" class=\"uri\" class=\"uri\"\u003ehttps://github.com/miguelgfierro/publications/blob/main/docs/gonzalez-fierro2013object.pdf\u003c/a\u003e\n\n\\[55\\] 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: \u003ca href=\"https://github.com/miguelgfierro/publications/blob/main/docs/gonzalez-fierro2013humanoid.pdf\" class=\"uri\" class=\"uri\"\u003ehttps://github.com/miguelgfierro/publications/blob/main/docs/gonzalez-fierro2013humanoid.pdf\u003c/a\u003e\n\n\\[56\\] 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: \u003ca href=\"https://github.com/miguelgfierro/publications/blob/main/docs/gonzalez-fierro2013evolutionary.pdf\" class=\"uri\" class=\"uri\"\u003ehttps://github.com/miguelgfierro/publications/blob/main/docs/gonzalez-fierro2013evolutionary.pdf\u003c/a\u003e\n\n\\[57\\] 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: \u003ca href=\"https://github.com/miguelgfierro/publications/blob/main/docs/gonzalez-fierro2013complete.pdf\" class=\"uri\" class=\"uri\"\u003ehttps://github.com/miguelgfierro/publications/blob/main/docs/gonzalez-fierro2013complete.pdf\u003c/a\u003e\n\n\\[58\\] 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: \u003ca href=\"https://github.com/miguelgfierro/publications/blob/main/docs/bueno2013distinguishing.pdf\" class=\"uri\" class=\"uri\"\u003ehttps://github.com/miguelgfierro/publications/blob/main/docs/bueno2013distinguishing.pdf\u003c/a\u003e\n\n\\[59\\] 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: \u003ca href=\"https://github.com/miguelgfierro/publications/blob/main/docs/gonzalez-fierro2012dynamic.pdf\" class=\"uri\" class=\"uri\"\u003ehttps://github.com/miguelgfierro/publications/blob/main/docs/gonzalez-fierro2012dynamic.pdf\u003c/a\u003e\n\n\\[60\\] 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: \u003ca href=\"https://github.com/miguelgfierro/publications/blob/main/docs/victores2013augmented.pdf\" class=\"uri\" class=\"uri\"\u003ehttps://github.com/miguelgfierro/publications/blob/main/docs/victores2013augmented.pdf\u003c/a\u003e\n\n\\[61\\] 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.\n\n\\[62\\] 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: \u003ca href=\"http://doi.acm.org/10.1145/2157689.2157721\" class=\"uri\" class=\"uri\"\u003ehttp://doi.acm.org/10.1145/2157689.2157721\u003c/a\u003e\n\n\\[63\\] 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: \u003ca href=\"https://github.com/miguelgfierro/publications/blob/main/docs/monje2011modeling.pdf\" class=\"uri\" class=\"uri\"\u003ehttps://github.com/miguelgfierro/publications/blob/main/docs/monje2011modeling.pdf\u003c/a\u003e\n\n\\[64\\] 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: \u003ca href=\"https://github.com/miguelgfierro/publications/blob/main/docs/bueno2011facial.pdf\" class=\"uri\" class=\"uri\"\u003ehttps://github.com/miguelgfierro/publications/blob/main/docs/bueno2011facial.pdf\u003c/a\u003e\n\n\\[65\\] 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: \u003ca href=\"https://github.com/miguelgfierro/publications/blob/main/docs/gonzalez-fierro2010educational.pdf\" class=\"uri\" class=\"uri\"\u003ehttps://github.com/miguelgfierro/publications/blob/main/docs/gonzalez-fierro2010educational.pdf\u003c/a\u003e\n\n\\[66\\] 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: \u003ca href=\"https://github.com/miguelgfierro/publications/blob/main/docs/pena2010sistema.pdf\" class=\"uri\" class=\"uri\"\u003ehttps://github.com/miguelgfierro/publications/blob/main/docs/pena2010sistema.pdf\u003c/a\u003e\n\n\\[67\\] 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: \u003ca href=\"https://github.com/miguelgfierro/publications/blob/main/docs/mateo2010robust.pdf\" class=\"uri\" class=\"uri\"\u003ehttps://github.com/miguelgfierro/publications/blob/main/docs/mateo2010robust.pdf\u003c/a\u003e\n\n\\[68\\] 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: \u003ca href=\"https://github.com/miguelgfierro/publications/blob/main/docs/gonzalez-fierro2009realizacion.pdf\" class=\"uri\" class=\"uri\"\u003ehttps://github.com/miguelgfierro/publications/blob/main/docs/gonzalez-fierro2009realizacion.pdf\u003c/a\u003e\n\n\\[69\\] 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: \u003ca href=\"https://github.com/miguelgfierro/publications/blob/main/docs/pierro2009human.pdf\" class=\"uri\" class=\"uri\"\u003ehttps://github.com/miguelgfierro/publications/blob/main/docs/pierro2009human.pdf\u003c/a\u003e\n\n\\[70\\] 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: \u003ca href=\"https://github.com/miguelgfierro/publications/blob/main/docs/pierro2009humanoid.pdf\" class=\"uri\" class=\"uri\"\u003ehttps://github.com/miguelgfierro/publications/blob/main/docs/pierro2009humanoid.pdf\u003c/a\u003e\n\n\\[71\\] 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.\n\n## Scientific Journals\n\n\\[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: \u003ca href=\"http://www.tandfonline.com/doi/abs/10.1080/01969722.2016.1187031\" class=\"uri\" class=\"uri\"\u003ehttp://www.tandfonline.com/doi/abs/10.1080/01969722.2016.1187031\u003c/a\u003e\n\n\\[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: \u003ca href=\"http://dx.doi.org/10.1080/01691864.2014.992955\" class=\"uri\" class=\"uri\"\u003ehttp://dx.doi.org/10.1080/01691864.2014.992955\u003c/a\u003e\n\n\\[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: \u003ca href=\"http://dx.doi.org/10.1142/S0219843614500121\" class=\"uri\" class=\"uri\"\u003ehttp://dx.doi.org/10.1142/S0219843614500121\u003c/a\u003e\n\n\\[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: \u003ca href=\"https://github.com/miguelgfierro/publications/blob/main/docs/bueno2013facial.pdf\" class=\"uri\" class=\"uri\"\u003ehttps://github.com/miguelgfierro/publications/blob/main/docs/bueno2013facial.pdf\u003c/a\u003e\n\n\\[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: \u003ca href=\"http://dx.doi.org/10.1080/01969722.2013.832095\" class=\"uri\" class=\"uri\"\u003ehttp://dx.doi.org/10.1080/01969722.2013.832095\u003c/a\u003e\n\n\n## Theses\n\n\\[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: \u003ca href=\"https://github.com/miguelgfierro/publications/blob/main/docs/gonzalez-fierro2014thesis.pdf\" class=\"uri\" class=\"uri\"\u003ehttps://github.com/miguelgfierro/publications/blob/main/docs/gonzalez-fierro2014thesis.pdf\u003c/a\u003e\n\n\\[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: \u003ca href=\"https://github.com/miguelgfierro/publications/blob/main/gonzalez-fierro2009master.pdf\" class=\"uri\" class=\"uri\"\u003ehttps://github.com/miguelgfierro/publications/blob/main/gonzalez-fierro2009master.pdf\u003c/a\u003e\n\n\\[3\\] M. González-Fierro, \"Execution of Collaborative Tasks on Robonova using FSRs (in Spanish)\", *Master’s Thesis*, Universidad Carlos III de Madrid, 2008.\n\n\n## Patents and IP\n\n\\[1\\] M. González-Fierro, \"ssm library - Image recognition and similarity for the fashion industry: M-008319/2014\", 2014.\n\n## Books and book chapters\n\n\\[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.\n\n## Blog posts\n\nI 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).\n\nIn addition, some of the posts have code supporting the articles. The code is available in [this repo](https://github.com/miguelgfierro/sciblog_support).\n\nHere there is the list of posts published on my blog and other blogs:\n\n\n\\[1\\] M. González-Fierro, \"Reverse Learning: How To Learn The AI Used Today In The Industry\". 2023. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2023/reverse-learning-how-to-learn-the-ai-used-today-in-the-industry/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2023/reverse-learning-how-to-learn-the-ai-used-today-in-the-industry/\u003c/a\u003e\n\n\\[2\\] M. González-Fierro, \"From Cloud Solution Architect To Data Scientist In 4 Months\". 2023. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2023/from-cloud-solution-architect-to-data-scientist-in-4-months/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2023/from-cloud-solution-architect-to-data-scientist-in-4-months/\u003c/a\u003e\n\n\\[3\\] M. González-Fierro, \"The Story Of How Nikolaos Got A Data Science Job In Just 3 Months\". 2023. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2023/the-story-of-how-nikolaos-got-a-data-science-job-in-just-3-months/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2023/the-story-of-how-nikolaos-got-a-data-science-job-in-just-3-months/\u003c/a\u003e\n\n\\[4\\] M. González-Fierro, \"My Most Popular LinkedIn Posts Of 2022\". 2023. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2023/my-most-popular-linkedin-posts-of-2022/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2023/my-most-popular-linkedin-posts-of-2022/\u003c/a\u003e\n\n\\[5\\] M. González-Fierro, \"Discover My Day To Day At Microsoft - Doing A Data Science Project\". 2022. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2022/discover-my-day-to-day-at-microsoft-doing-a-data-science-project/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2022/discover-my-day-to-day-at-microsoft-doing-a-data-science-project/\u003c/a\u003e\n\n\\[6\\] M. González-Fierro, \"An Analysis Of The Adoption Of Top Deep Learning Frameworks\". 2022. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2022/an-analysis-of-the-adoption-of-top-deep-learning-frameworks/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2022/an-analysis-of-the-adoption-of-top-deep-learning-frameworks/\u003c/a\u003e\n\n\\[7\\] M. González-Fierro, \"My Most Popular LinkedIn Posts Of 2021\". 2022. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2022/my-most-popular-linkedin-posts-of-2021/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2022/my-most-popular-linkedin-posts-of-2021/\u003c/a\u003e\n\n\\[8\\] M. González-Fierro, \"A Gentle Introduction To Distributed Training With DeepSpeed\". 2022. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2022/a-gentle-introduction-to-distributed-training-with-deepspeed/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2022/a-gentle-introduction-to-distributed-training-with-deepspeed/\u003c/a\u003e\n\n\\[9\\] M. González-Fierro, \"A Gentle Introduction To Matrix Factorization For Recommendations\". 2021. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2021/a-gentle-introduction-to-matrix-factorization-for-recommendations/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2021/a-gentle-introduction-to-matrix-factorization-for-recommendations/\u003c/a\u003e\n\n\\[10\\] M. González-Fierro, J. Kahnfeld, L. Zhang, and T. Wu, \"AI for Retail: Recommendation\". 2021. Available online: \u003ca href=\"https://www.linkedin.com/pulse/ai-retail-recommendation-markus-cozowicz\" class=\"uri\" class=\"uri\"\u003ehttps://www.linkedin.com/pulse/ai-retail-recommendation-markus-cozowicz\u003c/a\u003e\n\n\\[11\\] M. González-Fierro, \"Understanding The New Project Of Elon Musk, The Tesla Bot\". 2021. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2021/understanding-the-new-project-of-elon-musk-the-tesla-bot/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2021/understanding-the-new-project-of-elon-musk-the-tesla-bot/\u003c/a\u003e\n\n\\[12\\] M. González-Fierro, \"A Gentle Introduction To Fourier Transformers For NLP\". 2021. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2021/a-gentle-introduction-to-fourier-transformers-for-nlp/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2021/a-gentle-introduction-to-fourier-transformers-for-nlp/\u003c/a\u003e\n\n\\[13\\] A. Meyster and M. González-Fierro, \"Three Unique Ways To Source Top Tech Talent\". 2021. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2021/three-unique-ways-to-source-top-tech-talent/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2021/three-unique-ways-to-source-top-tech-talent/\u003c/a\u003e\n\n\\[14\\] M. González-Fierro, \"My Personal Quest To Become The Best Version Of Myself\". 2021. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2021/my-personal-quest-to-become-the-best-version-of-myself\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2021/my-personal-quest-to-become-the-best-version-of-myself\u003c/a\u003e\n\n\\[15\\] M. González-Fierro, \"Book Review: Influence By Robert Cialdini\". 2021. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2021/book-review-influence-by-robert-cialdini/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2021/book-review-influence-by-robert-cialdini/\u003c/a\u003e\n\n\\[16\\] A. Meyster and M. González-Fierro, \"Technology Is Reducing The Cost Of Education\". 2021. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2021/technology-is-reducing-the-cost-of-education/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2021/technology-is-reducing-the-cost-of-education/\u003c/a\u003e\n\n\\[17\\] M. González-Fierro, \"10 Reasons Why AI Has Developed Faster Than Robotics\". 2020. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2020/10-reasons-why-ai-has-developed-faster-than-robotics/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2020/10-reasons-why-ai-has-developed-faster-than-robotics/\u003c/a\u003e\n\n\\[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: \u003ca href=\"https://towardsdatascience.com/a-step-by-step-guide-to-the-microsoft-news-recommendation-competition-700ab00831a\" class=\"uri\" class=\"uri\"\u003ehttps://towardsdatascience.com/a-step-by-step-guide-to-the-microsoft-news-recommendation-competition-700ab00831a\u003c/a\u003e\n\n\\[19\\] M. Cozowicz and M. González-Fierro, \"A Gentle Introduction to Contextual Bandits\". 2020. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2020/a-gentle-introduction-to-contextual-bandits\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2020/a-gentle-introduction-to-contextual-bandits\u003c/a\u003e\n\n\\[20\\] D. Estévez, J. Isabel, V. G. Pacheco, J. G. Víctores, and M. González-Fierro, \"ASROB 10th Anniversary\". 2019. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2019/asrob-10th-anniversary/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2019/asrob-10th-anniversary/\u003c/a\u003e\n\n\\[21\\] M. González-Fierro, \"Understanding the Sequential Recommender SLi-Rec\". 2019. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2019/understanding-the-sequential-recommender-sli-rec/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2019/understanding-the-sequential-recommender-sli-rec/\u003c/a\u003e\n\n\\[22\\] M. González-Fierro, \"Understanding XLNet and its Implications for NLP\". 2019. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2019/understanding-xlnet-and-its-implications-for-nlp/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2019/understanding-xlnet-and-its-implications-for-nlp/\u003c/a\u003e\n\n\\[23\\] M. González-Fierro, \"Revisiting the Revisit of the Unreasonable Effectiveness of Data\". 2019. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2019/revisiting-the-revisit-of-the-unreasonable-effectiveness-of-data/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2019/revisiting-the-revisit-of-the-unreasonable-effectiveness-of-data/\u003c/a\u003e\n\n\\[24\\] S. Graham, L. Zhan, A. Argyriou, and M. González-Fierro, \"Scalable personalization on Azure\". 2019. Available online: \u003ca href=\"https://docs.microsoft.com/en-us/azure/architecture/example-scenario/ai/scalable-personalization\" class=\"uri\" class=\"uri\"\u003ehttps://docs.microsoft.com/en-us/azure/architecture/example-scenario/ai/scalable-personalization\u003c/a\u003e\n\n\\[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: \u003ca href=\"https://azure.microsoft.com/en-us/blog/building-recommender-systems-with-azure-machine-learning-service/\" class=\"uri\" class=\"uri\"\u003ehttps://azure.microsoft.com/en-us/blog/building-recommender-systems-with-azure-machine-learning-service/\u003c/a\u003e\n\n\\[26\\] I. Karmanov and M. González-Fierro, \"Cloud-Scale Text Classification With Convolutional Neural Networks\". 2019. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2019/cloud-scale-text-classification-with-convolutional-neural-networks/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2019/cloud-scale-text-classification-with-convolutional-neural-networks/\u003c/a\u003e\n\n\\[27\\] N. Joglekar, J. K. Min, S. Graham, L. Zhan, and M. González-Fierro, \"Movie Recommendations on Azure\". 2019. Available online: \u003ca href=\"https://docs.microsoft.com/en-us/azure/architecture/example-scenario/ai/movie-recommendations\" class=\"uri\" class=\"uri\"\u003ehttps://docs.microsoft.com/en-us/azure/architecture/example-scenario/ai/movie-recommendations\u003c/a\u003e\n\n\\[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: \u003ca href=\"https://docs.microsoft.com/en-us/azure/architecture/reference-architectures/ai/real-time-recommendation\" class=\"uri\" class=\"uri\"\u003ehttps://docs.microsoft.com/en-us/azure/architecture/reference-architectures/ai/real-time-recommendation\u003c/a\u003e\n\n\\[29\\] M. González-Fierro, \"Top 35 AI Solutions for Today’s Key Industries\". 2018. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2018/top-35-ai-solutions-for-todays-key-industries/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2018/top-35-ai-solutions-for-todays-key-industries/\u003c/a\u003e\n\n\\[30\\] M. González-Fierro, \"A Gentle Explanation Of Dimensionality Reduction With T-SNE\". 2018. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2018/a-gentle-explanation-of-dimensionality-reduction-with-t-sne/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2018/a-gentle-explanation-of-dimensionality-reduction-with-t-sne/\u003c/a\u003e\n\n\\[31\\] N. Joglekar and M. González-Fierro, \"Evidence-Based Software Design\". 2018. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2018/evidence-based-software-design/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2018/evidence-based-software-design/\u003c/a\u003e\n\n\\[32\\] M. González-Fierro, \"Python Pro Tips: Understanding Explicit Is Better Than Implicit\". 2018. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2018/python-pro-tips-understanding-explicit-is-better-than-implicit\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2018/python-pro-tips-understanding-explicit-is-better-than-implicit\u003c/a\u003e\n\n\\[33\\] M. González-Fierro, \"Real-Time Fraud Detection\". 2018. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2018/real-time-fraud-detection/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2018/real-time-fraud-detection/\u003c/a\u003e\n\n\\[34\\] M. González-Fierro, \"A Beginner’s Guide To Python Testing\". 2018. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2018/a-beginners-guide-to-python-testing/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2018/a-beginners-guide-to-python-testing/\u003c/a\u003e\n\n\\[35\\] M. González-Fierro, \"Demystifying WebSockets For Real-Time Web Communication\". 2018. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2018/demystifying-websockets-for-real-time-web-communication/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2018/demystifying-websockets-for-real-time-web-communication/\u003c/a\u003e\n\n\\[36\\] M. González-Fierro, \"Top Mistakes And Learnings From My Startup: Postmortem Samsamia\". 2018. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2018/top-mistakes-and-learnings-from-my-startup-postmortem-samsamia/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2018/top-mistakes-and-learnings-from-my-startup-postmortem-samsamia/\u003c/a\u003e\n\n\\[37\\] M. González-Fierro, \"10 Ethical Issues Of Artificial Intelligence And Robotics\". 2018. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2018/10-ethical-issues-of-artificial-intelligence-and-robotics/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2018/10-ethical-issues-of-artificial-intelligence-and-robotics/\u003c/a\u003e\n\n\\[38\\] I. Karmanov, M. Salvaris, M. González-Fierro, and D. Dean, \"Comparing Deep Learning Frameworks: A Rosetta Stone Approach\". 2018. Available online: \u003ca href=\"https://docs.microsoft.com/en-gb/archive/blogs/machinelearning/comparing-deep-learning-frameworks-a-rosetta-stone-approach\" class=\"uri\" class=\"uri\"\u003ehttps://docs.microsoft.com/en-gb/archive/blogs/machinelearning/comparing-deep-learning-frameworks-a-rosetta-stone-approach\u003c/a\u003e\n\n\\[39\\] M. González-Fierro, \"Stock Price Prediction With LSTMs\". 2018. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2018/stock-price-prediction-with-lstms/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2018/stock-price-prediction-with-lstms/\u003c/a\u003e\n\n\\[40\\] M. González-Fierro, \"Introduction To Recommendation Systems With Deep Autoencoders\". 2018. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2018/introduction-to-recommendation-systems-with-deep-autoencoders/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2018/introduction-to-recommendation-systems-with-deep-autoencoders/\u003c/a\u003e\n\n\\[41\\] M. González-Fierro, \"A Gentle Introduction To Transfer Learning For Image Classification\". 2017. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2017/a-gentle-introduction-to-transfer-learning-for-image-classification/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2017/a-gentle-introduction-to-transfer-learning-for-image-classification/\u003c/a\u003e\n\n\\[42\\] M. González-Fierro, M. Salvaris, G. Ke, and T. Wu, \"Lessons Learned From Benchmarking Fast Machine Learning Algorithms\". 2017. Available online: \u003ca href=\"https://docs.microsoft.com/en-gb/archive/blogs/machinelearning/lessons-learned-benchmarking-fast-machine-learning-algorithms\" class=\"uri\" class=\"uri\"\u003ehttps://docs.microsoft.com/en-gb/archive/blogs/machinelearning/lessons-learned-benchmarking-fast-machine-learning-algorithms\u003c/a\u003e\n\n\\[43\\] M. González-Fierro, \"Deep Learning For Entrepreneurs\". 2017. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2017/deep-learning-for-entrepreneurs/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2017/deep-learning-for-entrepreneurs/\u003c/a\u003e\n\n\\[44\\] M. González-Fierro, \"10 Reasons Why You Should Be Using Git In Software Projects\". 2017. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2017/10-reasons-why-you-should-be-using-git-in-software-projects/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2017/10-reasons-why-you-should-be-using-git-in-software-projects/\u003c/a\u003e\n\n\\[45\\] M. González-Fierro, \"Laplace’s Demon And The Scientific Method\". 2017. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2017/laplaces-demon-and-the-scientific-method/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2017/laplaces-demon-and-the-scientific-method/\u003c/a\u003e\n\n\\[46\\] I. Karmanov and M. González-Fierro, \"How To Deploy An Image Classification API Based On Deep Learning\". 2017. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2017/how-to-deploy-an-image-classification-api-based-on-deep-learning/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2017/how-to-deploy-an-image-classification-api-based-on-deep-learning/\u003c/a\u003e\n\n\\[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: \u003ca href=\"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\" class=\"uri\" class=\"uri\"\u003ehttps://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\u003c/a\u003e\n\n\\[48\\] M. González-Fierro, \"The Sorcerer’s Apprentice\". 2017. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2017/the-sorcerers-apprentice/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2017/the-sorcerers-apprentice/\u003c/a\u003e\n\n\\[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: \u003ca href=\"https://docs.microsoft.com/en-gb/archive/blogs/machinelearning/cloud-scale-text-classification-with-convolutional-neural-networks-on-microsoft-azure\" class=\"uri\" class=\"uri\"\u003ehttps://docs.microsoft.com/en-gb/archive/blogs/machinelearning/cloud-scale-text-classification-with-convolutional-neural-networks-on-microsoft-azure\u003c/a\u003e\n\n\\[50\\] M. González-Fierro, \"A Gentle Introduction To Text Classification And Sentiment Analysis\". 2017. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2017/a-gentle-introduction-to-text-classification-and-sentiment-analysis/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2017/a-gentle-introduction-to-text-classification-and-sentiment-analysis/\u003c/a\u003e\n\n\\[51\\] A. Argyriou and M. González-Fierro, \"Learnings From AI \u0026 Machine Learning Conference NIPS 2016\". 2016. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2016/learnings-from-ai-machine-learning-conference-nips-2016/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2016/learnings-from-ai-machine-learning-conference-nips-2016/\u003c/a\u003e\n\n\\[52\\] M. González-Fierro, \"How To Develop A Data Science Project Using The Lean Startup Method\". 2016. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2016/how-to-develop-a-data-science-project-using-the-lean-startup-method/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2016/how-to-develop-a-data-science-project-using-the-lean-startup-method/\u003c/a\u003e\n\n\\[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: \u003ca href=\"https://docs.microsoft.com/en-gb/archive/blogs/machinelearning/imagenet-deep-neural-network-training-using-microsoft-r-server-and-azure-gpu-vms\" class=\"uri\" class=\"uri\"\u003ehttps://docs.microsoft.com/en-gb/archive/blogs/machinelearning/imagenet-deep-neural-network-training-using-microsoft-r-server-and-azure-gpu-vms\u003c/a\u003e\n\n\\[54\\] M. Kaznady, M. González-Fierro, R. Jain, T. J. Hazen, and T. Wu, \"Applying Deep Learning at Cloud Scale, with Microsoft R Server \u0026 Azure Data Lake\". 2016. Available online: \u003ca href=\"https://docs.microsoft.com/en-gb/archive/blogs/machinelearning/applying-cloud-deep-learning-at-scale-with-microsoft-r-server-azure-data-lake\" class=\"uri\" class=\"uri\"\u003ehttps://docs.microsoft.com/en-gb/archive/blogs/machinelearning/applying-cloud-deep-learning-at-scale-with-microsoft-r-server-azure-data-lake\u003c/a\u003e\n\n\\[55\\] M. González-Fierro, \"A Gentle Introduction To Convolutional Neural Networks\". 2016. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2016/a-gentle-introduction-to-convolutional-neural-networks/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2016/a-gentle-introduction-to-convolutional-neural-networks/\u003c/a\u003e\n\n\\[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: \u003ca href=\"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\" class=\"uri\" class=\"uri\"\u003ehttps://docs.microsoft.com/en-gb/archive/blogs/machinelearning/building-deep-neural-networks-in-the-cloud-with-azure-gpu-vms-mxnet-and-microsoft-r-server\u003c/a\u003e\n\n\\[57\\] M. González-Fierro, \"When To Use Deep Learning In A Data Science Problem\". 2016. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2016/when-to-use-deep-learning-in-a-data-science-problem/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2016/when-to-use-deep-learning-in-a-data-science-problem/\u003c/a\u003e\n\n\\[58\\] M. González-Fierro, \"How Human Intelligence Works And Why That Makes Us Racists\". 2016. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2016/how-human-intelligence-works-and-why-that-makes-us-racists/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2016/how-human-intelligence-works-and-why-that-makes-us-racists/\u003c/a\u003e\n\n\\[59\\] M. González-Fierro, \"A Gentle Introduction To The Basics Of Machine Learning\". 2016. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2016/a-gentle-introduction-to-the-basics-of-machine-learning/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2016/a-gentle-introduction-to-the-basics-of-machine-learning/\u003c/a\u003e\n\n\\[60\\] M. González-Fierro, \"Lessons Learned About Marketing While Building A Startup\". 2016. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2016/lessons-learned-about-marketing-while-building-a-startup/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2016/lessons-learned-about-marketing-while-building-a-startup/\u003c/a\u003e\n\n\\[61\\] M. González-Fierro, \"The Growth Of Artificial Intelligence In The New Economy\". 2016. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2016/the-growth-of-artificial-intelligence-in-the-new-economy/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2016/the-growth-of-artificial-intelligence-in-the-new-economy/\u003c/a\u003e\n\n\\[62\\] M. González-Fierro, \"Is It Possible For A Robot To Have Emotions?\" 2016. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2016/is-it-possible-for-a-robot-to-have-emotions/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2016/is-it-possible-for-a-robot-to-have-emotions/\u003c/a\u003e\n\n\\[63\\] M. González-Fierro, \"Why Math Is So Important In Everyone’s Life\". 2016. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2016/why-math-is-so-important-in-everyones-life/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2016/why-math-is-so-important-in-everyones-life/\u003c/a\u003e\n\n\\[64\\] A. Malmierca and M. González-Fierro, \"The Science Behind The New Star Wars Robot: BB-8\". 2016. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2016/the-science-behind-the-new-star-wars-robot-bb-8/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2016/the-science-behind-the-new-star-wars-robot-bb-8/\u003c/a\u003e\n\n\\[65\\] M. González-Fierro, \"A Blog With The Appearance Of A Scientific Paper In Latex\". 2015. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2015/a-blog-with-the-appearance-of-a-scientific-paper-in-latex/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2015/a-blog-with-the-appearance-of-a-scientific-paper-in-latex/\u003c/a\u003e\n\n\\[66\\] M. González-Fierro, \"The Spanish Startup Ecosystem Will Be More Technological\". 2015. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2015/the-spanish-startup-ecosystem-will-be-more-technological/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2015/the-spanish-startup-ecosystem-will-be-more-technological/\u003c/a\u003e\n\n\\[67\\] M. González-Fierro, \"What Color Is This Dress? The Dressgate Explained\". 2015. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2015/what-color-is-this-dress-the-dressgate-explained/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2015/what-color-is-this-dress-the-dressgate-explained/\u003c/a\u003e\n\n\\[68\\] M. González-Fierro, T. Nanayakkara, and C. Balaguer, \"A Humanoid Robot Ph.D. Thesis Explained To Non Scientists\". 2014. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2014/a-humanoid-robot-phd-thesis-explained-to-non-scientists/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2014/a-humanoid-robot-phd-thesis-explained-to-non-scientists/\u003c/a\u003e\n\n\\[69\\] M. González-Fierro, \"What Is Scrum And How To Apply It To A Startup\". 2014. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2014/what-is-scrum-and-how-to-apply-it-to-a-startup/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2014/what-is-scrum-and-how-to-apply-it-to-a-startup/\u003c/a\u003e\n\n\\[70\\] M. González-Fierro, \"What Makes The Difference Is Not The Experience, But Its Derivative\". 2014. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2014/what-makes-the-difference-is-not-the-experience-but-its-derivative/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2014/what-makes-the-difference-is-not-the-experience-but-its-derivative/\u003c/a\u003e\n\n\\[71\\] M. González-Fierro, \"Dresscovery, The Visual Search App Is Working With Google Glass\". 2014. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2014/dresscovery-the-visual-search-app-is-working-with-google-glass/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2014/dresscovery-the-visual-search-app-is-working-with-google-glass/\u003c/a\u003e\n\n\\[72\\] M. González-Fierro, \"Dresscovery App Is Out\". 2013. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2013/dresscovery-app-is-out/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2013/dresscovery-app-is-out/\u003c/a\u003e\n\n\\[73\\] M. González-Fierro, \"The Best Image Recognition System For Fashion\". 2013. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2013/the-best-image-recognition-system-for-fashion/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2013/the-best-image-recognition-system-for-fashion/\u003c/a\u003e\n\n\\[74\\] M. González-Fierro, \"Samsamia Is About AI, Pattern Recognition And Machine Learning\". 2013. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2013/samsamia-is-about-ai-pattern-recognition-and-machine-learning/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2013/samsamia-is-about-ai-pattern-recognition-and-machine-learning/\u003c/a\u003e\n\n\\[75\\] M. González-Fierro, \"Samsamia At BBVA OpenTalent Event In Buenos Aires\". 2013. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2013/samsamia-at-bbva-opentalent-event-in-buenos-aires/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2013/samsamia-at-bbva-opentalent-event-in-buenos-aires/\u003c/a\u003e\n\n\\[76\\] M. González-Fierro, \"Demoday Of 2020 For 2020 Startup Madrid\". 2013. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2013/demoday-of-2020-for-2020-startup-madrid/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2013/demoday-of-2020-for-2020-startup-madrid/\u003c/a\u003e\n\n## Interviews\n\n\n\\[1\\] D. Brinkmann, \"From Robotics to Recommender Systems - Miguel Fierro\". 2024. Available online: \u003ca href=\"https://www.youtube.com/watch?v=wEmO00ADppw\" class=\"uri\" class=\"uri\"\u003ehttps://www.youtube.com/watch?v=wEmO00ADppw\u003c/a\u003e\n\n\\[2\\] L. H. Zafer, \"Miguel Fierro - AI is the New Normal\". 2023. Available online: \u003ca href=\"https://podcasts.apple.com/ch/podcast/miguel-fierro-ai-is-the-new-normal/id1613934397?i=1000623771203\" class=\"uri\" class=\"uri\"\u003ehttps://podcasts.apple.com/ch/podcast/miguel-fierro-ai-is-the-new-normal/id1613934397?i=1000623771203\u003c/a\u003e\n\n\\[3\\] P. Rolfe, \"Faculty Spotlight: Miguel González-Fierro\". 2023. Available online: \u003ca href=\"https://www.ie.edu/school-science-technology/news/faculty-spotlight-miguel-gonzalez-fierro/\" class=\"uri\" class=\"uri\"\u003ehttps://www.ie.edu/school-science-technology/news/faculty-spotlight-miguel-gonzalez-fierro/\u003c/a\u003e\n\n\\[4\\] M. Kurovski, \"Microsoft Recommenders and LLM-based RecSys with Miguel Fierro\". 2023. Available online: \u003ca href=\"https://www.recsperts.com/episodes/17-microsoft-recommenders-and-llm-based-recsys-with-miguel-fierro\" class=\"uri\" class=\"uri\"\u003ehttps://www.recsperts.com/episodes/17-microsoft-recommenders-and-llm-based-recsys-with-miguel-fierro\u003c/a\u003e\n\n\\[5\\] A. N. Reganti, \"Machine Learning Mastery For Career Growth At Top-Tech Corporations\". 2023. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2023/machine-learning-mastery-for-career-growth-at-top-tech-corporations/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2023/machine-learning-mastery-for-career-growth-at-top-tech-corporations/\u003c/a\u003e\n\n\\[6\\] N. Leiser, \"Start With Transformers\". 2023. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2023/start-with-transformers/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2023/start-with-transformers/\u003c/a\u003e\n\n\\[7\\] S. Juarez, \"Building Recommender Systems\". 2022. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2022/building-recommender-systems/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2022/building-recommender-systems/\u003c/a\u003e\n\n\\[8\\] D. J. Reji, \"Recommendation Systems\". 2022. Available online: \u003ca href=\"https://miguelgfierro.com/blog/2022/d4-data-podcast-with-miguel-fierro-recommendation-systems/\" class=\"uri\" class=\"uri\"\u003ehttps://miguelgfierro.com/blog/2022/d4-data-podcast-with-miguel-fierro-recommendation-systems/\u003c/a\u003e\n\n\\[9\\] J. Baum, \"All About Human Series with Miguel González-Fierro\". 2022. Available online: \u003ca href=\"https://www.aitimejournal.com/all-about-human-series\" class=\"uri\" class=\"uri\"\u003ehttps://www.aitimejournal.com/all-about-human-series\u003c/a\u003e\n\n\\[10\\] S. Nouri, \"AI Career Interview Series \\#7: Miguel Fierro\". 2021. Available online: \u003ca href=\"https://www.linkedin.com/video/event/urn:li:ugcPost:6851333494367502336/\" class=\"uri\" class=\"uri\"\u003ehttps://www.linkedin.com/video/event/urn:li:ugcPost:6851333494367502336/\u003c/a\u003e\n\n\\[11\\] A. M. Aditya, \"Interview with Miguel González-Fierro, Sr. Data Scientist Lead, Microsoft\". 2021. Available online: \u003ca href=\"https://www.aitimejournal.com/@a.m.aditya/interview-with-miguel-gonzalez-fierro-sr-data-scientist-lead-microsoft\" class=\"uri\" class=\"uri\"\u003ehttps://www.aitimejournal.com/@a.m.aditya/interview-with-miguel-gonzalez-fierro-sr-data-scientist-lead-microsoft\u003c/a\u003e\n\n\\[12\\] T. Scarfe, \"Miguel Fierro - Recommendation Systems\". 2019. Available online: \u003ca href=\"https://www.youtube.com/watch?v=arcelVdJnck\" class=\"uri\" class=\"uri\"\u003ehttps://www.youtube.com/watch?v=arcelVdJnck\u003c/a\u003e\n\n\\[13\\] Madrid+d, \"We have to fight to show that a scientist can change the world (in Spanish)\". 2014. Available online: \u003ca href=\"http://www.preproduccion.madrimasd.org/notiweb/entrevistas/hay-que-luchar-demostrar-que-un-cientifico-puede-cambiar-mundo\" class=\"uri\" class=\"uri\"\u003ehttp://www.preproduccion.madrimasd.org/notiweb/entrevistas/hay-que-luchar-demostrar-que-un-cientifico-puede-cambiar-mundo\u003c/a\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmiguelgfierro%2Fpublications","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmiguelgfierro%2Fpublications","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmiguelgfierro%2Fpublications/lists"}