Online first articles
Articles not assigned to an issue 125 articles
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From MNIST to ImageNet and back: benchmarking continual curriculum learning
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Did we personalize? Assessing personalization by an online reinforcement learning algorithm using resampling
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Exposing and explaining fake news on-the-fly
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Utilizing reinforcement learning for de novo drug design
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An effective keyword search co-occurrence multi-layer graph mining approach
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Personalization for web-based services using offline reinforcement learning
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Can cross-domain term extraction benefit from cross-lingual transfer and nested term labeling?
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When are they coming? Understanding and forecasting the timeline of arrivals at the FC Barcelona stadium on match days
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Ijuice: integer JUstIfied counterfactual explanations
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TOCOL: improving contextual representation of pre-trained language models via token-level contrastive learning
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Stress detection with encoding physiological signals and convolutional neural network
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Glacier: guided locally constrained counterfactual explanations for time series classification
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Neural network relief: a pruning algorithm based on neural activity
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Dynamic datasets and market environments for financial reinforcement learning
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Correction to: Multi-agent reinforcement learning for fast-timescale demand response of residential loads
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Re-attentive experience replay in off-policy reinforcement learning
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Reinforcement learning tutor better supported lower performers in a math task
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Goal exploration augmentation via pre-trained skills for sparse-reward long-horizon goal-conditioned reinforcement learning
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Goal-conditioned offline reinforcement learning through state space partitioning
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DPQ: dynamic pseudo-mean mixed-precision quantization for pruned neural network
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Reduced implication-bias logic loss for neuro-symbolic learning
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Recurrent segmentation meets block models in temporal networks
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Paf-tracker: a novel pre-frame auxiliary and fusion visual tracker
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DPG: a model to build feature subspace against adversarial patch attack
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Hybrid approaches to optimization and machine learning methods: a systematic literature review
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DynamiSE: dynamic signed network embedding for link prediction
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Empirical analysis of performance assessment for imbalanced classification
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Distributed and explainable GHSOM for anomaly detection in sensor networks
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Mental stress detection from ultra-short heart rate variability using explainable graph convolutional network with network pruning and quantisation
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Event causality extraction through external event knowledge learning and polyhedral word embedding
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