Henrique Lemos dos Santos
Orcid: 0000-0003-0236-1291Affiliations:
- Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil
According to our database1,
Henrique Lemos dos Santos
authored at least 14 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
LANSE: A Cloud-Powered Learning Analytics Platform for the Automated Identification of Students at Risk in Learning Management Systems.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2024
2023
On the Evolution of AI and Machine Learning: Towards a Meta-level Measuring and understanding Impact, Influence and Leadership at Premier AI Conferences.
FLAP, 2023
2022
On the Evolution of A.I. and Machine Learning: Towards Measuring and Understanding Impact, Influence, and Leadership at Premier A.I. Conferences.
CoRR, 2022
2020
Towards the implementation of a countrywide K-12 learning analytics initiative in Uruguay.
Interact. Learn. Environ., 2020
Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020
2019
The final year project supervision in online distance learning: assessing students and faculty perceptions about communication tools.
Behav. Inf. Technol., 2019
Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019
Graph Colouring Meets Deep Learning: Effective Graph Neural Network Models for Combinatorial Problems.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
Multitask Learning on Graph Neural Networks: Learning Multiple Graph Centrality Measures with a Unified Network.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2017
A comparison among approaches for recommending learning objects through collaborative filtering algorithms.
Program, 2017
2015
Clustering Learning Objects for Improving Their Recommendation via Collaborative Filtering Algorithms.
Proceedings of the Metadata and Semantics Research - 9th Research Conference, 2015