Pablo Robles-Granda

Orcid: 0000-0003-0604-7187

According to our database1, Pablo Robles-Granda authored at least 14 papers between 2015 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
Goodness-of-Fit of Attributed Probabilistic Graph Generative Models.
CoRR, 2023

2022
Representation Learning on Variable Length and Incomplete Wearable-Sensory Time Series.
ACM Trans. Intell. Syst. Technol., 2022

2021
The effects of seasons and weather on sleep patterns measured through longitudinal multimodal sensing.
npj Digit. Medicine, 2021

Person-Centered Predictions of Psychological Constructs with Social Media Contextualized by Multimodal Sensing.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Jointly Predicting Job Performance, Personality, Cognitive Ability, Affect, and Well-Being.
IEEE Comput. Intell. Mag., 2021

2020
Improved Sleep Detection Through the Fusion of Phone Agent and Wearable Data Streams.
Proceedings of the 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, 2020

2019
A Multisensor Person-Centered Approach to Understand the Role of Daily Activities in Job Performance with Organizational Personas.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

Differentiating Higher and Lower Job Performers in the Workplace Using Mobile Sensing.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019



2018
Social Network Structure is Predictive of Health and Wellness.
CoRR, 2018

2017
Unified Representation and Lifted Sampling for Generative Models of Social Networks.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
Sampling of Attributed Networks from Hierarchical Generative Models.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015
Using Bayesian Network Representations for Effective Sampling from Generative Network Models.
CoRR, 2015


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