Personal Information
Entreprise/Lieu de travail
Paris France
Profession
Researcher and Lecturer
Secteur d’activité
Technology / Software / Internet
Site Web
nataliadiaz.github.io
À propos
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
Mots-clés
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
Tout plus
Présentations
(16)J’aime
(52)FDL 2017 Lunar Water and Volatiles
Leonard Silverberg
•
il y a 6 ans
Natasha Jaques - Learning via Social Awareness - Creative AI meetup
Luba Elliott
•
il y a 5 ans
A Study in (P)rose
Stefano Bragaglia
•
il y a 6 ans
Introducing PRSs and Drools (in Italian)
Stefano Bragaglia
•
il y a 10 ans
Ontology development
Stefano Bragaglia
•
il y a 10 ans
Generative adversarial networks
남주 김
•
il y a 7 ans
Life-long / Incremental Learning (DLAI D6L1 2017 UPC Deep Learning for Artificial Intelligence)
Universitat Politècnica de Catalunya
•
il y a 6 ans
Footbar - Soccer Gesture recognition from accelerometer data
Sébastien Benoit
•
il y a 6 ans
RecSys 2016 Talk: Feature Selection For Human Recommenders
Katherine Livins
•
il y a 7 ans
John Bronskill - Machine Learning Is Everywhere
SogetiLabs
•
il y a 8 ans
Matrix Factorization Techniques For Recommender Systems
Lei Guo
•
il y a 12 ans
Recommender Systems (Machine Learning Summer School 2014 @ CMU)
Xavier Amatriain
•
il y a 9 ans
How to write systematic literature reviews (ideally, your first PhD paper)
Natalia Díaz Rodríguez
•
il y a 7 ans
Mammography with Inception
Stephen Morrell
•
il y a 7 ans
Music recommendations @ MLConf 2014
Erik Bernhardsson
•
il y a 10 ans
Large scale-ctr-prediction lessons-learned-florian-hartl
PyData
•
il y a 7 ans
Leveraging Social Media with Computer Vision
TJ Torres
•
il y a 7 ans
Replication in Data Science - A Dance Between Data Science & Machine Learning Strata 2016
June Andrews
•
il y a 7 ans
10 more lessons learned from building Machine Learning systems
Xavier Amatriain
•
il y a 8 ans
RDB2RDF Tutorial (R2RML and Direct Mapping) at ISWC 2013
Juan Sequeda
•
il y a 10 ans
Things I Think Are Awesome (Eyeo 2016 Talk)
Lynn Cherny
•
il y a 7 ans
H2O Machine Learning and Kalman Filters for Machine Prognostics - Galvanize SF
Sri Ambati
•
il y a 8 ans
18º Betabeers Granada: Cómo hacer un BOT para Facebook y Battever
JM Robles
•
il y a 7 ans
Spark tuning2016may11bida
Anya Bida
•
il y a 7 ans
word2vec, LDA, and introducing a new hybrid algorithm: lda2vec
👋 Christopher Moody
•
il y a 8 ans
word2vec, LDA, and introducing a new hybrid algorithm: lda2vec
👋 Christopher Moody
•
il y a 8 ans
Corinna Cortes, Head of Research, Google at MLconf NYC
MLconf
•
il y a 9 ans
Brad Klingenberg, Director of Styling Algorithms, Stitch Fix at MLconf SF - 11/13/15
MLconf
•
il y a 8 ans
On Beyond OWL: challenges for ontologies on the Web
James Hendler
•
il y a 8 ans
Recommending Semantic Nearest Neighbors Using Storm and Dato
Ashok Venkatesan
•
il y a 8 ans
Personal Information
Entreprise/Lieu de travail
Paris France
Profession
Researcher and Lecturer
Secteur d’activité
Technology / Software / Internet
Site Web
nataliadiaz.github.io
À propos
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
Mots-clés
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
Tout plus