Ghent University Academic Bibliography

Show Sort by

Your filters: cql: parent exact "MACHINE LEARNING"

Add to list
- Miscellaneous
Special issue on feature engineering editorial

Tim Verdonck, Bart Baesens, María Óskarsdóttir and Seppe vanden Broucke (UGent)

(2023) MACHINE LEARNING.
Add to list
- Journal Article
Forecasting directional bitcoin price returns using aspect-based sentiment analysis on online text data

Ekaterina Loginova (UGent) , Wai Kit Tsang, Guus van Heijningen, Louis-Philippe Kerkhove and Dries Benoit (UGent)

(2023) MACHINE LEARNING.
Add to list
- Journal Article
- A1
- open access
Inverse reinforcement learning through logic constraint inference

Mattijs Baert (UGent) , Sam Leroux (UGent) and Pieter Simoens (UGent)

(2023) MACHINE LEARNING. 112(7). p.2593-2618
Add to list
Multi-target prediction for dummies using two-branch neural networks

Dimitrios Iliadis (UGent) , Bernard De Baets (UGent) and Willem Waegeman (UGent)

(2022) MACHINE LEARNING. 111(2). p.651-684
Add to list
- Journal Article
- A1
- open access
Optimised one-class classification performance

Oliver Lenz (UGent) , Daniel Peralta (UGent) and Chris Cornelis (UGent)

(2022) MACHINE LEARNING. 111(8). p.2863-2883
Add to list
- Journal Article
- A1
- open access
Conditional t-SNE : more informative t-SNE embeddings

Bo Kang (UGent) , Darío García García, Jefrey Lijffijt (UGent) , Raúl Santos-Rodríguez and Tijl De Bie (UGent)

(2021) MACHINE LEARNING. 110(10). p.2905-2940
Add to list
- Journal Article
- A1
- open access
Aleatoric and epistemic uncertainty in machine learning : an introduction to concepts and methods

Eyke Huellermeier and Willem Waegeman (UGent)

(2021) MACHINE LEARNING. 110(3). p.457-506
Add to list
- Journal Article
- A1
- open access
Soft quantification in statistical relational learning

Golnoosh Farnadi (UGent) , Stephen H Bach, Marie-Francine Moens, Lise Getoor and Martine De Cock (UGent)

(2017) MACHINE LEARNING. 106(12). p.1971-1991
Add to list
- Journal Article
- A1
- open access
Subjective interestingness of subgraph patterns

Matthijs van Leeuwen, Tijl De Bie (UGent) , Eirini Spyropoulou and Cédric Mesnage

(2016) MACHINE LEARNING. 105(1). p.41-75
Add to list
- Journal Article
- A1
- open access
Interpretable domain adaptation via optimization over the Stiefel manifold

Christian Poelitz, Wouter Duivesteijn (UGent) and Katharina Morik

(2016) MACHINE LEARNING. 104(2-3). p.315-336

Academic Bibliography

Special issue on feature engineering editorial

Forecasting directional bitcoin price returns using aspect-based sentiment analysis on online text data

Inverse reinforcement learning through logic constraint inference

Multi-target prediction for dummies using two-branch neural networks

Optimised one-class classification performance

Conditional t-SNE : more informative t-SNE embeddings

Aleatoric and epistemic uncertainty in machine learning : an introduction to concepts and methods

Soft quantification in statistical relational learning

Subjective interestingness of subgraph patterns

Interpretable domain adaptation via optimization over the Stiefel manifold

Contents

Support

Contact