Automating Data Science The ABC of Data: A Classifying Framework for Data Readiness
|
2020 |
Castelijns, Laurens A. |
Towards Automated Configuration of Stream Clustering Algorithms
|
2020 |
Carnein, Matthias |
Learning and Interpreting Potentials for Classical Hamiltonian Systems
|
2020 |
Bhat, Harish S. |
Measuring Unfairness Through Game-Theoretic Interpretability
|
2020 |
Cesaro, Juliana |
Decentralized Recommendation Based on Matrix Factorization: A Comparison of Gossip and Federated Learning
|
2020 |
Hegedüs, István |
Decentralized Learning with Budgeted Network Load Using Gaussian Copulas and Classifier Ensembles
|
2020 |
Klein, John |
A Comparative Study of Community Detection Techniques for Large Evolving Graphs
|
2020 |
Coppens, Lauranne |
Hardware Acceleration of Machine Learning Beyond Linear Algebra
|
2020 |
Mücke, Sascha |
Manifold Mixing for Stacked Regularization
|
2020 |
Pereira, Joao |
Mobile Game Theory with Street Gangs
|
2020 |
Cooney, Sarah |
HyperUCB: Hyperparameter Optimization Using Contextual Bandits
|
2020 |
Tavakol, Maryam |
Supervised Human-Guided Data Exploration
|
2020 |
Oikarinen, Emilia |
Quantifying Model Complexity via Functional Decomposition for Better Post-hoc Interpretability
|
2020 |
Molnar, Christoph |
Enriching Visual with Verbal Explanations for Relational Concepts — Combining LIME with Aleph
|
2020 |
Rabold, Johannes |
Sampling, Intervention, Prediction, Aggregation: A Generalized Framework for Model-Agnostic Interpretations
|
2020 |
Scholbeck, Christian A. |
Distributed Generative Modelling with Sub-linear Communication Overhead
|
2020 |
Piatkowski, Nico |
Detecting Stable Communities in Link Streams at Multiple Temporal Scales
|
2020 |
Boudebza, Soudad |
Evolution Analysis of Large Graphs with Gradoop
|
2020 |
Rost, Christopher |
Multimodal Deep Networks for Text and Image-Based Document Classification
|
2020 |
Audebert, Nicolas |
Iterative Representation Learning for Entity Alignment Leveraging Textual Information
|
2020 |
Zeng, Weixin |