Natalia Díaz Rodríguez
105
Followers
Personal Information
Organization / Workplace
Paris France
Occupation
Researcher and Lecturer
Industry
Technology / Software / Internet
Website
nataliadiaz.github.io
About
INTERESTS: Artificial Intelligence, Deep Learning, Reinforcement Learning, Robotics, Cognitive Science, Neuroscience, Knowledge Engineering, and Developmental Robotics
EXPERIENCE: Semantic Web, Context-awareness, Ontologies, Fuzzy Logic, Description Logics, Probabilistic Soft Logic, Ambient Assisted Living, Active Healthy Ageing, Smart Spaces, SmartDosing medication tracking project, e-Health, Wearables, Soft Computing.
PUBLICATIONS:
https://scholar.google.com/citations?user=aia6ZgYAAAAJ
Tags
ontologies
reinforcement learning
artificial intelligence
wearables
fuzzy logic
semantic web
smart spaces
continual learning
lifelong learning
robotics
deep learning
healthcare
human activity recognition
unsupervised learning
ambient intelligence
ambient assisted living
medication dispensing
medication tracking
device interoperability
incremental learning
summer school
stitch fix
subjective networks
nlp
sentence
style
knowledge graph
crowdsourcing
notes
folksonomy
fashion
journals
evaluation
sistematic literature reviews
metrics
engineering
literature
context awareness
role-based access control
clips
sensors
smart-m3
kinect
rehabilitation
human activity modelling
probabilistic soft logic
lifestyle profiling
augmented reality
usability
security
mobile application development
hospital
dosing
application
rule based systems
See more
- Presentations
- Documents
- Infographics
26 Time Management Hacks I Wish I'd Known at 20
Étienne Garbugli
•
11 years ago
10 more lessons learned from building Machine Learning systems
Xavier Amatriain
•
8 years ago
Recommender Systems (Machine Learning Summer School 2014 @ CMU)
Xavier Amatriain
•
9 years ago
Python for Image Understanding: Deep Learning with Convolutional Neural Nets
Roelof Pieters
•
8 years ago
Re-Invent the Future
Steven Van Belleghem
•
10 years ago
word2vec, LDA, and introducing a new hybrid algorithm: lda2vec
👋 Christopher Moody
•
8 years ago
Matrix Factorization Techniques For Recommender Systems
Lei Guo
•
12 years ago
Developing For Wearables - Lessons Learned & Best Practices
Jean-Luc David
•
9 years ago
Generative adversarial networks
남주 김
•
7 years ago
Music recommendations @ MLConf 2014
Erik Bernhardsson
•
10 years ago
word2vec, LDA, and introducing a new hybrid algorithm: lda2vec
👋 Christopher Moody
•
8 years ago
JSON-LD for RESTful services
Markus Lanthaler
•
12 years ago
On Beyond OWL: challenges for ontologies on the Web
James Hendler
•
8 years ago
Putting the Magic in Data Science
Sean Taylor
•
9 years ago
RDB2RDF Tutorial (R2RML and Direct Mapping) at ISWC 2013
Juan Sequeda
•
10 years ago
What Deep Learning Means for Artificial Intelligence
Jonathan Mugan
•
9 years ago
Appraiser: How Airbnb Generates Complex Models in Spark for Demand Prediction-(Hector Yee, Airbnb)
Spark Summit
•
8 years ago
Sensor Research in NASA, Director Meyya Meyyappan, NASA Ames Research Center
Business Turku
•
11 years ago
Natural Language Processing for the Semantic Web
Isabelle Augenstein
•
9 years ago
Slicing Pie: Perfect Equity Splits Short as I possible
Mike Moyer
•
9 years ago