| Practical Open-Loop Optimistic Planning
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2020 |
Leurent, Edouard |
| An Engineered Empirical Bernstein Bound
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2020 |
Burgess, Mark A. |
| Attentive Multi-task Deep Reinforcement Learning
|
2020 |
Bräm, Timo |
| Sequential Learning over Implicit Feedback for Robust Large-Scale Recommender System
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2020 |
Burashnikova, Aleksandra |
| Transfer Learning in Credit Risk
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2020 |
Suryanto, Hendra |
| LSTM Encoder-Predictor for Short-Term Train Load Forecasting
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2020 |
Pasini, Kevin |
| BK-ADAPT: Dynamic Background Knowledge for Automating Data Transformation
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2020 |
Contreras-Ochando, Lidia |
| OCADaMi: One-Class Anomaly Detection and Data Mining Toolbox
|
2020 |
Theissler, Andreas |
| Distributed Algorithms to Find Similar Time Series
|
2020 |
Levchenko, Oleksandra |
| Learning 3D Navigation Protocols on Touch Interfaces with Cooperative Multi-agent Reinforcement Learning
|
2020 |
Debard, Quentin |
| Safe Policy Improvement with Soft Baseline Bootstrapping
|
2020 |
Nadjahi, Kimia |
| Stochastic Activation Actor Critic Methods
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2020 |
Shang, Wenling |
| A Ranking Model Motivated by Nonnegative Matrix Factorization with Applications to Tennis Tournaments
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2020 |
Xia, Rui |
| A Reduction of Label Ranking to Multiclass Classification
|
2020 |
Brinker, Klaus |
| Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysis and Practical Performance
|
2020 |
Köppel, Marius |
| Automatic Recognition of Student Engagement Using Deep Learning and Facial Expression
|
2020 |
Nezami, Omid Mohamad |
| Augmenting Semantic Representation of Depressive Language: From Forums to Microblogs
|
2020 |
Farruque, Nawshad |
| Wearable-Based Parkinson's Disease Severity Monitoring Using Deep Learning
|
2020 |
Goschenhofer, Jann |
| A Deep Multi-task Approach for Residual Value Forecasting
|
2020 |
Rashed, Ahmed |
| Manufacturing Dispatching Using Reinforcement and Transfer Learning
|
2020 |
Zheng, Shuai |
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