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cjferba/README.md

cjferba

Hi, I'm Carlos! A passionate Researcher - Data Science & Machine Learning GIF

GitHub LinkedIn ResearchGate ORCID publons GoogleScholar Portfolio Portfolio

Languages
Spanish ★★★
English ★★☆
NOW
  • He is currently working on the development of new Big Data algorithms for pattern recognition in medical applications. In addition, at UCL he is working on explainability models in AI (XAI) and automatic causality and blame analysis using NLP.

BIO

  • 🏢 PostDoc at University College London, London, UK
  • 🏢 Full stack engineer at SiftyML Ltd, London, UK
  • 🔭 Area of interest is in , and
  • 🎯 Specifically interested in finding hidden patterns,relationship extraction in nlp, rules and knowledge from a dataset.
  • 🌱 Learning all about
  • Looking to collaborate on Open Source Projects on
  • Ping me about and

Code Spark Python Jupyter NumPy Pandas Ploty ScikitLearn SciPy TensorFlow R C++ Amazon AWS LaTeX

☰ Click for List of Publications (click to expand) 🔗

📜Journal Articles

No Title DOI Journal Quartile JCR
01 Extraction of association rules using big data technologies (2016) DOI International Journal of Design & Nature and Ecodynamics -
02 Finding tendencies in streaming data using big data frequent itemset mining (2019) DOI Knowledge-Based Systems Q1
03 A probabilistic algorithm for predictive control with full-complexity models in non-residential buildings (2019) DOI IEEE Access Q1
04 A Fuzzy Mining Approach for Energy Efficiency in a Big Data Framework (2020) DOI IEEE Transactions on Fuzzy Systems Q1
05 Spark solutions for discovering fuzzy association rules in Big Data (2021) DOI International Journal of Approximate Reasoning Q2
06 Big Data Architecture for Building Energy Management Systems (2021) DOI IEEE Transactions on Industrial Informatics Q1
07 A fuzzy-based medical system for pattern mining in a distributed environment: Application to diagnostic and co-morbidity (2022) DOI Applied Soft Computing Q1

📃 Conference Proceedings

No Title DOI Conference
01 Advances in Data Science for Building Energy Management (2016) 2016 9th International Conference Improving Energy Efficiency in Commercial Buildings and Smart Communities (IEECB&SC’16)
02 A comparative analysis of tools for visualizing association rules: A proposal for visualising fuzzy association rules (2019) DOI 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)

📖 Book Chapter

No Title DOI Book Chapter
01 Actitudes y formación sobre inclusión de los docentes universitarios (2017) DOI Actitudes y formación sobre inclusión de los docentes universitarios
☰ Click for GitHub Stats (click to expand)

Carlos' Github readme stats cjferba

LinkedIn Gmail

Build README Python

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  1. MLDGR/Kaggle_HomesiteQuoteConversion MLDGR/Kaggle_HomesiteQuoteConversion Public

    R 1 1

  2. MLDGR/Kaggle_Otto_Group MLDGR/Kaggle_Otto_Group Public

    Description of approaches to the Otto Group Product Classification Challenge on Kaggle http://es.slideshare.net/cjferba/otto-challenge-report

    R 1 1

  3. MLDGR/traffic-deep-intelligence MLDGR/traffic-deep-intelligence Public

    R 1 2

  4. Gesture_Recognition_Tools Gesture_Recognition_Tools Public

    Gesture recognition application by Big Data Tools

    Java

  5. ML-Protein_Structure_Prediction ML-Protein_Structure_Prediction Public

    Using data mining to predict the structure of proteins. Kaggle in class competition https://inclass.kaggle.com/c/ugr14b-protein-structure-prediction

    R 1

  6. Kaggle-West-Nile-Virus-Prediction Kaggle-West-Nile-Virus-Prediction Public

    Kaggle championship

    R