Trinh Minh Tri Do

According to our database1, Trinh Minh Tri Do authored at least 28 papers between 2005 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2018
DrinkSense: Characterizing Youth Drinking Behavior Using Smartphones.
IEEE Trans. Mob. Comput., 2018

Vlogging Over Time: Longitudinal Impressions and Behavior in YouTube.
Proceedings of the 17th International Conference on Mobile and Ubiquitous Multimedia, 2018

2015
A probabilistic kernel method for human mobility prediction with smartphones.
Pervasive Mob. Comput., 2015

2014
The Places of Our Lives: Visiting Patterns and Automatic Labeling from Longitudinal Smartphone Data.
IEEE Trans. Mob. Comput., 2014

Where and what: Using smartphones to predict next locations and applications in daily life.
Pervasive Mob. Comput., 2014

2013
Human interaction discovery in smartphone proximity networks.
Pers. Ubiquitous Comput., 2013

From big smartphone data to worldwide research: The Mobile Data Challenge.
Pervasive Mob. Comput., 2013

From Foursquare to My Square: Learning Check-in Behavior from Multiple Sources.
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

Inferring social activities with mobile sensor networks.
Proceedings of the 2013 International Conference on Multimodal Interaction, 2013

2012
Regularized bundle methods for convex and non-convex risks.
J. Mach. Learn. Res., 2012

Checking in or checked in: comparing large-scale manual and automatic location disclosure patterns.
Proceedings of the 11th International Conference on Mobile and Ubiquitous Multimedia, 2012

Contextual conditional models for smartphone-based human mobility prediction.
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012

2011
Modèle hybride champ markovien conditionnel et réseau de neurones profond.
Document Numérique, 2011

Contextual Grouping: Discovering Real-Life Interaction Types from Longitudinal Bluetooth Data.
Proceedings of the 12th IEEE International Conference on Mobile Data Management, 2011

GroupUs: Smartphone Proximity Data and Human Interaction Type Mining.
Proceedings of the 15th IEEE International Symposium on Wearable Computers (ISWC 2011), 2011

Smartphone usage in the wild: a large-scale analysis of applications and context.
Proceedings of the 13th International Conference on Multimodal Interfaces, 2011

Joint Optimization of Hidden Conditional Random Fields and Non Linear Feature Extraction.
Proceedings of the 2011 International Conference on Document Analysis and Recognition, 2011

2010
Neural conditional random fields.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

By their apps you shall understand them: mining large-scale patterns of mobile phone usage.
Proceedings of the 9th International Conference on Mobile and Ubiquitous Multimedia, 2010

2009
Learning mixture models with support vector machines for sequence classification and segmentation.
Pattern Recognit., 2009

Large margin training for hidden Markov models with partially observed states.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Maximum Margin Training of Gaussian HMMs for Handwriting Recognition.
Proceedings of the 10th International Conference on Document Analysis and Recognition, 2009

Improved Handwriting Recognition by Combining Two Forms of Hidden Markov Models and a Recurrent Neural Network.
Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009

2008
A Fast Method for Training Linear SVM in the Primal.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Optimisation du Primal pour les SVM.
Proceedings of the Extraction et gestion des connaissances (EGC'2008), 2008

2006
Champs de Markov conditionnels pour le traitement de séquences.
Proceedings of the Extraction et gestion des connaissances (EGC'2006), 2006

Polynomial Conditional Random Fields for Signal Processing.
Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

2005
Sélection de modèles par des méthodes à noyaux pour la classification de données séquentielles.
Proceedings of the Extraction et gestion des connaissances (EGC'2005), 2005


  Loading...