European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN)

Policy-Based Reinforcement Learning in the Generalized Rock-Paper-Scissors Game.

基于策略的强化学习在广义石头剪刀布游戏中的应用。

2023

Efficient feature selection for domain adaptation using Mutual Information Maximization.

基于互信息最大化的领域自适应高效特征选择。

2023

Residual Reservoir Computing Neural Networks for Time-series Classification.

时间序列分类的残差储层计算神经网络。

2023

On Feature Removal for Explainability in Dynamic Environments.

动态环境中可解释性的特征移除研究

2023

A Counterexample to Ockham's Razor and the Curse of Dimensionality: Marginalising Complexity and Dimensionality for GMMs.

奥卡姆剃刀与维度诅咒的反例:为高斯混合模型边缘化复杂性与维度。

2023

Mitigating Robustness Bias: Theoretical Results and Empirical Evidences.

缓解鲁棒性偏差:理论结果与实证证据。

2023

Hierarchical priors for Hyperspherical Prototypical Networks.

超球面原型网络的分层先验。

2023

Trends and Challenges for Sign Language Recognition with Machine Learning.

机器学习在手语识别中的趋势与挑战

2023

WiSARD-based Ensemble Learning.

基于WiSARD的集成学习。

2023

Hidden Markov Models for Temporal Graph Representation Learning.

用于时间图表示学习的隐马尔可夫模型。

2023

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European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

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CCF: N

CORE: B

THCPL: N

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Year: 2025

Place: Bruges, Belgium

Date: April 23 - April 25, 2025

Timeline:

Abstract Deadline: 2024-11-20T00:00:00-08:00

Deadline: 2024-11-20T00:00:00-08:00

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