Machine learning and principles and practice of knowledge discovery in databases International Workshops of ECML PKDD 2021, virtual event, September 13-17, 2021, proceedings Part 1

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Bibliographische Detailangaben
Körperschaft: ECML PKDD (VerfasserIn)
Weitere Verfasser: Kamp, Michael (HerausgeberIn)
Format: UnknownFormat
Sprache:eng
Veröffentlicht: Cham Springer 2021
Schriftenreihe:Communications in computer and information science 1524
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Titel Jahr Verfasser
A Classification of Anomaly Explanation Methods 2021 Tchaghe, Véronne Yepmo
Bringing a Ruler Into the Black Box: Uncovering Feature Impact from Individual Conditional Expectation Plots 2021 Yeh, Andrew
Reject and Cascade Classifier with Subgroup Discovery for Interpretable Metagenomic Signatures 2021 Queyrel, Maxence
Adversarial Generation of Temporal Data: A Critique on Fidelity of Synthetic Data 2021 Debnath, Ankur
Ultra-low Power Machinery Fault Detection Using Deep Neural Networks 2021 Nitzsche, Sven
Neural Maximum Independent Set 2021 Pontoizeau, Thomas
Towards Addressing Noise and Static Variations of Analog Computations Using Efficient Retraining 2021 Klein, Bernhard
How to Choose an Explainability Method? Towards a Methodical Implementation of XAI in Practice 2021 Vermeire, Tom
Using Explainable Boosting Machines (EBMs) to Detect Common Flaws in Data 2021 Chen, Zhi
Explanations for Network Embedding-Based Link Predictions 2021 Kang, Bo
Towards Explainable Meta-learning 2021 Woźnica, Katarzyna
Robustness of Fairness: An Experimental Analysis 2021 Kamp, Serafina
Rule Learning Through Active Inductive Inference 2021 Erdmann, Tore
Active Inference for Stochastic Control 2021 Paul, Aswin
Desiderata for Explainable AI in Statistical Production Systems of the European Central Bank 2021 Navarro, Carlos Mougan
Inferring in Circles: Active Inference in Continuous State Space Using Hierarchical Gaussian Filtering of Sufficient Statistics 2021 Waade, Peter Thestrup
Deep Active Inference for Pixel-Based Discrete Control: Evaluation on the Car Racing Problem 2021 van Hoeffelen, N. T. A.
Interpretable Models via Pairwise Permutations Algorithm 2021 Maasland, Troy
Migrating Models: A Decentralized View on Federated Learning 2021 Kiss, Péter
Towards Precomputed 1D-Convolutional Layers for Embedded FPGAs 2021 Einhaus, Lukas
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