1
Assuntos:
“...Deep Learning...”
Um estudo comparativo de redes neurais profundas para classificação automática de texto
Dissertação
2
Assuntos:
“...Machine Learning...”
Meta learning approaches for few-shot semantic segmentation with sparse labels
Dissertação
3
Assuntos:
“...Project-based learning...”
A framework for gamification of project-based software engineering education
Tese
4
5
6
Assuntos:
“...Reinforcement Learning...”
Markov decision processes for optimizing job scheduling with Reinforcement Learning
Tese
7
8
Assuntos:
“...Machine learning...”
A Thorough exploitation of distance-based meta-features for Automated text classification
Tese
9
Assuntos:
“...Machine learning...”
Ensemble learning by diversifying explanations: predicting the evolution of pain relief
Tese
10
Assuntos:
“...Explainable Machine Learning...”
Understanding software defects with machine learning
Tese
11
Assuntos:
“...Machine Learning...”
Explainable models for automated essay scoring in the presence of biased scoring
Tese
12
Assuntos:
“...Learning...”
A probabilistic algorithm to predict missing facts from knowledge graphs
Dissertação
13
14
15
Assuntos:
“...Representation learning...”
On the impact of sample reduction strategies for heterogeneous network representation learning
Dissertação
16
Assuntos:
“...Deep metric learning...”
Um novo espaço de similaridade projetado para o aprendizado supervisionado de métricas profundas
Dissertação
17
Assuntos:
“...Deep Learning...”
QoE-aware container scheduling for co-located cloud applications
Dissertação
18
Assuntos:
“...Deep reinforcement learning...”
Automatic flexible control of tidal range structures
Tese
19
Assuntos:
“...Automated Machine Learning...”
Understanding the search space of methods for automatically designing graph neural networks
Dissertação
20
Assuntos:
“...Reinforcement learning...”
Drafting in collectible card games via reinforcement learning
Dissertação