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
(16)Likes
(52)FDL 2017 Lunar Water and Volatiles
Leonard Silverberg
•
6 years ago
Natasha Jaques - Learning via Social Awareness - Creative AI meetup
Luba Elliott
•
5 years ago
A Study in (P)rose
Stefano Bragaglia
•
5 years ago
Introducing PRSs and Drools (in Italian)
Stefano Bragaglia
•
10 years ago
Ontology development
Stefano Bragaglia
•
10 years ago
Generative adversarial networks
남주 김
•
7 years ago
Life-long / Incremental Learning (DLAI D6L1 2017 UPC Deep Learning for Artificial Intelligence)
Universitat Politècnica de Catalunya
•
6 years ago
Footbar - Soccer Gesture recognition from accelerometer data
Sébastien Benoit
•
6 years ago
RecSys 2016 Talk: Feature Selection For Human Recommenders
Katherine Livins
•
7 years ago
John Bronskill - Machine Learning Is Everywhere
SogetiLabs
•
8 years ago
Matrix Factorization Techniques For Recommender Systems
Lei Guo
•
11 years ago
Recommender Systems (Machine Learning Summer School 2014 @ CMU)
Xavier Amatriain
•
9 years ago
How to write systematic literature reviews (ideally, your first PhD paper)
Natalia Díaz Rodríguez
•
7 years ago
Mammography with Inception
Stephen Morrell
•
7 years ago
Music recommendations @ MLConf 2014
Erik Bernhardsson
•
9 years ago
Large scale-ctr-prediction lessons-learned-florian-hartl
PyData
•
7 years ago
Leveraging Social Media with Computer Vision
TJ Torres
•
7 years ago
Replication in Data Science - A Dance Between Data Science & Machine Learning Strata 2016
June Andrews
•
7 years ago
10 more lessons learned from building Machine Learning systems
Xavier Amatriain
•
8 years ago
RDB2RDF Tutorial (R2RML and Direct Mapping) at ISWC 2013
Juan Sequeda
•
10 years ago
Things I Think Are Awesome (Eyeo 2016 Talk)
Lynn Cherny
•
7 years ago
H2O Machine Learning and Kalman Filters for Machine Prognostics - Galvanize SF
Sri Ambati
•
8 years ago
18º Betabeers Granada: Cómo hacer un BOT para Facebook y Battever
JM Robles
•
7 years ago
Spark tuning2016may11bida
Anya Bida
•
7 years ago
word2vec, LDA, and introducing a new hybrid algorithm: lda2vec
👋 Christopher Moody
•
8 years ago
word2vec, LDA, and introducing a new hybrid algorithm: lda2vec
👋 Christopher Moody
•
8 years ago
Corinna Cortes, Head of Research, Google at MLconf NYC
MLconf
•
9 years ago
Brad Klingenberg, Director of Styling Algorithms, Stitch Fix at MLconf SF - 11/13/15
MLconf
•
8 years ago
On Beyond OWL: challenges for ontologies on the Web
James Hendler
•
8 years ago
Recommending Semantic Nearest Neighbors Using Storm and Dato
Ashok Venkatesan
•
8 years ago
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