When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate | Paper Citation Record

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This paper cites Time series extrinsic regression,.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Time series extrinsic regression,

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This paper cites Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey,.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey,

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This paper cites Deep learning for time series classification: a review,.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Deep learning for time series classification: a review,

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This paper cites Addressing spatial-temporal heterogeneity: General mixed time series analysis via latent continuity recovery and alignment,.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Addressing spatial-temporal heterogeneity: General mixed time series analysis via latent continuity recovery and alignment,

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This paper cites Unsupervised feature based algorithms for time series extrinsic regression,.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Unsupervised feature based algorithms for time series extrinsic regression,

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This paper cites ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels

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This paper cites MultiRocket: Multiple pooling operators and transformations for fast and effective time series classification,.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate MultiRocket: Multiple pooling operators and transformations for fast and effective time series classification,

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This paper cites Hydra: Competing convolutional kernels for fast and accurate time series classification,.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Hydra: Competing convolutional kernels for fast and accurate time series classification,

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This paper cites Benchmarking Deep Learning Interpretability in Time Series Predictions,.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Benchmarking Deep Learning Interpretability in Time Series Predictions,

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This paper cites TimeX++: Learning Time-Series Explanations with Information Bottleneck.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate TimeX++: Learning Time-Series Explanations with Information Bottleneck

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This paper cites TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation,.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation,

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This paper cites Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead,.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead,

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This paper cites Neural Additive Models: Interpretable Machine Learning with Neural Nets.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Neural Additive Models: Interpretable Machine Learning with Neural Nets

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This paper cites Neural additive time-series models: Explainable deep learning for multivariate time-series prediction,.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Neural additive time-series models: Explainable deep learning for multivariate time-series prediction,

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This paper cites Concept Bottleneck Models,.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Concept Bottleneck Models,

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This paper cites Interpretable Prognostics with Concept Bottleneck Models,.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Interpretable Prognostics with Concept Bottleneck Models,

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This paper cites Towards Automatic Concept-based Explanations,.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Towards Automatic Concept-based Explanations,

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This paper cites Label-Free Concept Bottleneck Models.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Label-Free Concept Bottleneck Models

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This paper cites Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery

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This paper cites Interpretable-by-Design Text Understanding with Iteratively Generated Concept Bottleneck.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Interpretable-by-Design Text Understanding with Iteratively Generated Concept Bottleneck

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This paper cites Discovering Invariant Rationales for Graph Neural Networks.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Discovering Invariant Rationales for Graph Neural Networks

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This paper cites Interpretable extreme wind speed prediction with concept bottleneck models,.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Interpretable extreme wind speed prediction with concept bottleneck models,

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This paper cites Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI

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This paper cites Axiomatic Attribution for Deep Networks,.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Axiomatic Attribution for Deep Networks,

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This paper cites Learning Important Features Through Propagating Activation Differences,.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Learning Important Features Through Propagating Activation Differences,

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This paper cites What went wrong and when? Instance-wise feature importance for time-series black-box models,.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate What went wrong and when? Instance-wise feature importance for time-series black-box models,

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When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Explaining Time Series Predictions with Dynamic Masks

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This paper cites Temporal Dependencies in Feature Importance for Time Series Predictions.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Temporal Dependencies in Feature Importance for Time Series Predictions

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When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Learning Perturbations to Explain Time Series Predictions

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This paper cites Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency

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When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Multivariate Time Series Analysis: An Interpretable CNN-based Model,

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When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Interpretable Detection of Partial Discharge in Power Lines with Deep Learning,

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When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Generalized Additive Models,

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When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Generalized additive neural networks,

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When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Interpretable generalized additive neural networks,

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When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate GAMI-Net: An Explainable Neural Network based on Generalized Additive Models with Structured Interactions

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When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning,

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When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Explainable Neural Networks based on Additive Index Models,

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When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Neural Basis Models for Interpretability

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When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Transparent Networks for Multivariate Time Series,

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When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Deep Learning for Case-Based Reasoning through Prototypes: A Neural Network that Explains Its Predictions

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When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Example or Prototype? Learning Concept-Based Explanations in Time-Series,

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When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Explaining Deep Classification of Time-Series Data with Learned Prototypes

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When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Interpretable and Steerable Sequence Learning via Prototypes

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When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Time series shapelets: a novel technique that allows accurate, interpretable and fast classification,

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When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Learning multivariate shapelets with multi-layer neural networks for interpretable time-series classification,

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When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate NN Kernels Can Be the Best Shapelets

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When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Time series ordinal classification via shapelets,

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When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Towards Robust Interpretability with Self-Explaining Neural Networks

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When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off

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When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts

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When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Learning Optimal Summaries of Clinical Time-series with Concept Bottleneck Models,

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When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Shedding Light on Time Series Classification using Interpretability Gated Networks,

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When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Enforcing Interpretability in Time Series Transformers: A Concept Bottleneck Framework,

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This paper cites What You See is What You Classify: Black Box Attributions.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate What You See is What You Classify: Black Box Attributions

Reference 56

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Observation 8810c3a7-0c44-42fb-8d2a-1f4b5266ac75 · outbound

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When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-03T18:48:45.724525Z

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Observation 5ae4a443-2412-471c-9fbd-6c9cc2a931a3 · outbound

This paper cites Categorical Reparameterization with Gumbel-Softmax,.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Categorical Reparameterization with Gumbel-Softmax,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-03T18:48:45.765737Z

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Observation 386e8841-44e5-4cb5-b42e-9b680c50a9cf · outbound

This paper cites Random Forests,.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Random Forests,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-03T18:48:45.824502Z

Source-reported events for the cited work

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Observation 85111788-9100-42db-8c3b-72795a9a18d6 · outbound

This paper cites Disentangling Slow and Fast Temporal Dynamics in Degradation Inference with Hierarchical Differential Models,.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Disentangling Slow and Fast Temporal Dynamics in Degradation Inference with Hierarchical Differential Models,

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-03T18:48:45.899172Z

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Observation ebff0622-1233-49d6-820c-a6a2ca484617 · outbound

This paper cites Explainable Neural Networks based on Additive Index Models.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Explainable Neural Networks based on Additive Index Models

Reference 2018

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Observation 618adc5f-f64a-47cf-81a8-cb52eff61aaf · outbound

This paper cites an unresolved cited work.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Unresolved cited work

Reference 2019

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Observation 16a83309-5ed3-4ab8-9505-c8dbe6622400 · outbound

This paper cites NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-03T18:48:43.580610Z

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Observation 6e9d38a5-0336-4666-a409-3dfa0011829c · outbound

This paper cites an unresolved cited work.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Unresolved cited work

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T18:48:45.598822Z

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Observation a21ce1db-ed42-460f-9713-b9bc385e9610 · outbound

This paper cites Smart Maintenance.

When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Smart Maintenance

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T18:48:45.967010Z

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