Clustering Learning Objects for Improving Their Recommendation via Collaborative Filtering Algorithms. - Henrique Lemos dos Santos; Cristian Cechinel; Ricardo Matsumura de Araújo; Miguel-Ángel Sicilia (MTSR, 2015)

A comparison among approaches for recommending learning objects through collaborative filtering algorithms. - Henrique Lemos dos Santos; Cristian Cechinel; Ricardo Matsumura de Araújo (Program, 2017)

Learning to Solve NP-Complete Problems: A Graph Neural Network for Decision TSP. - Marcelo O. R. Prates; Pedro H. C. Avelar; Henrique Lemos 001; Luís C. Lamb; Moshe Y. Vardi (AAAI, 2019)

Multitask Learning on Graph Neural Networks: Learning Multiple Graph Centrality Measures with a Unified Network. - Pedro H. C. Avelar; Henrique Lemos 001; Marcelo O. R. Prates; Luís da Cunha Lamb (ICANN (Workshop), 2019)

Graph Colouring Meets Deep Learning: Effective Graph Neural Network Models for Combinatorial Problems. - Henrique Lemos 001; Marcelo O. R. Prates; Pedro H. C. Avelar; Luís C. Lamb (ICTAI, 2019)

Challenges on implementing Learning Analytics over countrywide K-12 data. - Luiz Antonio Buschetto Macarini; Cristian Cechinel; Henrique Lemos dos Santos; Xavier Ochoa 001; Virgínia Rodés; Guillermo Ettlin Alonso; Alén Pérez Casas; Patricia Díaz (LAK, 2019)

The final year project supervision in online distance learning: assessing students and faculty perceptions about communication tools. - Henrique Lemos dos Santos; Cristian Cechinel (Behav. Inf. Technol., 2019)

Typed Graph Networks. - Pedro H. C. Avelar; Henrique Lemos 001; Marcelo O. R. Prates; Marco Gori; Luís C. Lamb (CoRR, 2019)

Neural-Symbolic Relational Reasoning on Graph Models: Effective Link Inference and Computation from Knowledge Bases. - Henrique Lemos 001; Pedro H. C. Avelar; Marcelo O. R. Prates; Artur S. d'Avila Garcez; Luís C. Lamb (ICANN (1), 2020)

Mapping Learning Analytics initiatives in Latin America. - Cristian Cechinel; Xavier Ochoa 001; Henrique Lemos dos Santos; João Batista Carvalho Nunes; Virgínia Rodés; Emanuel Marques Queiroga (Br. J. Educ. Technol., 2020)

Towards the implementation of a countrywide K-12 learning analytics initiative in Uruguay. - Luiz Antonio Buschetto Macarini; Henrique Lemos dos Santos; Cristian Cechinel; Xavier Ochoa 001; Virgínia Rodés; Alén Pérez Casas; Pedro Pablo Lucas; Ricardo Maya; Guillermo Ettlin Alonso; Patricia Díaz (Interact. Learn. Environ., 2020)

On the Evolution of A.I. and Machine Learning: Towards Measuring and Understanding Impact, Influence, and Leadership at Premier A.I. Conferences. - Rafael Baldasso Audibert; Henrique Lemos dos Santos; Pedro H. C. Avelar; Anderson R. Tavares; Luís C. Lamb (CoRR, 2022)

On the Evolution of AI and Machine Learning: Towards a Meta-level Measuring and understanding Impact, Influence and Leadership at Premier AI Conferences. - Rafael Baldasso Audibert; Henrique Lemos 001; Pedro H. C. Avelar; Anderson R. Tavares; Luís C. Lamb (FLAP, 2023)

LANSE: A Cloud-Powered Learning Analytics Platform for the Automated Identification of Students at Risk in Learning Management Systems. - Cristian Cechinel; Emanuel Marques Queiroga; Tiago Thompsen Primo; Henrique Lemos dos Santos; Vinicius Faria Culmant Ramos; Roberto Muñoz 001; Rafael Ferreira Mello; Matheus Francisco Batista Machado (AIED Companion (1), 2024)