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Manipulationen und Moneten - Datentrickserei Im Digitalen Zeitalter

Lenz, Hans-J

1, 2024

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Modernes IT-Management: Methodische Kombination Von IT-Strategie und IT-Reifegradmodell

2, 2024

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Verfügbarkeit prüfen

50 & 25 Years Ago

Computer (Long Beach, Calif.), 2024-04, Vol.57 (4), p.7-10

Neuhold, Erich

2024

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IEEE_Xplore

Robust Federated Learning: Maximum Correntropy Aggregation Against Byzantine Attacks

IEEE transaction on neural networks and learning systems, 2024-04, Vol.PP, p.1-14

2024

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IEEE_Xplore

Message from the Editor-In-Chief

IEEE internet computing, 2024-03, Vol.28 (2), p.5-5

Shi, Weisong

2024

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IEEE_Xplore

Multiscale Deep Learning for Detection and Recognition: A Comprehensive Survey

IEEE transaction on neural networks and learning systems, 2024-04, Vol.PP, p.1-21

2024

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IEEE_Xplore

Leveraging Bilateral Correlations for Multi-Label Few-Shot Learning

IEEE transaction on neural networks and learning systems, 2024-04, Vol.PP, p.1-13

2024

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IEEE_Xplore

Distributional Policy Gradient With Distributional Value Function

IEEE transaction on neural networks and learning systems, 2024-04, Vol.PP, p.1-13

2024

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IEEE_Xplore

Understanding Double Descent Using VC-Theoretical Framework

IEEE transaction on neural networks and learning systems, 2024-04, Vol.PP, p.1-10

2024

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IEEE_Xplore

AttMOT: Improving Multiple-Object Tracking by Introducing Auxiliary Pedestrian Attributes

IEEE transaction on neural networks and learning systems, 2024-04, Vol.PP, p.1-15

2024

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IEEE_Xplore

Reliability-Guided Hierarchical Memory Network for Scribble-Supervised Video Object Segmentation

IEEE transaction on neural networks and learning systems, 2024-04, Vol.PP, p.1-15

2024

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IEEE_Xplore

Balanced Unfolding Induced Tensor Nuclear Norms for High-Order Tensor Completion

IEEE transaction on neural networks and learning systems, 2024-04, Vol.PP, p.1-14

2024

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IEEE_Xplore

Secure State Estimation for Artificial Neural Networks With Unknown-But-Bounded Noises: A Homomorphic Encryption Scheme

IEEE transaction on neural networks and learning systems, 2024-04, Vol.PP, p.1-12

2024

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IEEE_Xplore

Hierarchical Self-Attention Network for Industrial Data Series Modeling With Different Sampling Rates Between the Input and Output Sequences

IEEE transaction on neural networks and learning systems, 2024-04, Vol.PP, p.1-11

2024

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IEEE_Xplore

Relation-Aware Heterogeneous Graph Network for Learning Intermodal Semantics in Textbook Question Answering

IEEE transaction on neural networks and learning systems, 2024-04, Vol.PP, p.1-12

2024

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IEEE_Xplore

Toward Efficient Convolutional Neural Networks With Structured Ternary Patterns

IEEE transaction on neural networks and learning systems, 2024-04, Vol.PP, p.1-8

Kyrkou, Christos

2024

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IEEE_Xplore

ZS-VAT: Learning Unbiased Attribute Knowledge for Zero-Shot Recognition Through Visual Attribute Transformer

IEEE transaction on neural networks and learning systems, 2024-04, Vol.PP, p.1-12

2024

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IEEE_Xplore

Geometric Matching for Cross-Modal Retrieval

IEEE transaction on neural networks and learning systems, 2024-04, Vol.PP, p.1-13

2024

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IEEE_Xplore

Deep Probabilistic Principal Component Analysis for Process Monitoring

IEEE transaction on neural networks and learning systems, 2024-04, Vol.PP, p.1-15

2024

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IEEE_Xplore

Select Your Own Counterparts: Self-Supervised Graph Contrastive Learning With Positive Sampling

IEEE transaction on neural networks and learning systems, 2024-04, Vol.PP, p.1-15

2024

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IEEE_Xplore

New Bounds on the Accuracy of Majority Voting for Multiclass Classification

IEEE transaction on neural networks and learning systems, 2024-04, Vol.PP, p.1-15

2024

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IEEE_Xplore

MultiFair: Model Fairness With Multiple Sensitive Attributes

IEEE transaction on neural networks and learning systems, 2024-04, Vol.PP, p.1-14

2024

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IEEE_Xplore

PrivFR: Privacy-Enhanced Federated Recommendation With Shared Hash Embedding

IEEE transaction on neural networks and learning systems, 2024-04, Vol.PP, p.1-15

2024

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IEEE_Xplore

SATF: A Scalable Attentive Transfer Framework for Efficient Multiagent Reinforcement Learning

IEEE transaction on neural networks and learning systems, 2024-04, Vol.PP, p.1-15

2024

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IEEE_Xplore

Size and Depth of Monotone Neural Networks: Interpolation and Approximation

IEEE transaction on neural networks and learning systems, 2024-04, Vol.PP, p.1-12

2024

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IEEE_Xplore

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Manipulationen und Moneten - Datentrickserei Im Digitalen Zeitalter

Modernes IT-Management: Methodische Kombination Von IT-Strategie und IT-Reifegradmodell

50 & 25 Years Ago

Robust Federated Learning: Maximum Correntropy Aggregation Against Byzantine Attacks

Message from the Editor-In-Chief

Multiscale Deep Learning for Detection and Recognition: A Comprehensive Survey

Leveraging Bilateral Correlations for Multi-Label Few-Shot Learning

Distributional Policy Gradient With Distributional Value Function

Understanding Double Descent Using VC-Theoretical Framework

AttMOT: Improving Multiple-Object Tracking by Introducing Auxiliary Pedestrian Attributes

Reliability-Guided Hierarchical Memory Network for Scribble-Supervised Video Object Segmentation

Balanced Unfolding Induced Tensor Nuclear Norms for High-Order Tensor Completion

Secure State Estimation for Artificial Neural Networks With Unknown-But-Bounded Noises: A Homomorphic Encryption Scheme

Hierarchical Self-Attention Network for Industrial Data Series Modeling With Different Sampling Rates Between the Input and Output Sequences

Relation-Aware Heterogeneous Graph Network for Learning Intermodal Semantics in Textbook Question Answering

Toward Efficient Convolutional Neural Networks With Structured Ternary Patterns

ZS-VAT: Learning Unbiased Attribute Knowledge for Zero-Shot Recognition Through Visual Attribute Transformer

Geometric Matching for Cross-Modal Retrieval

Deep Probabilistic Principal Component Analysis for Process Monitoring

Select Your Own Counterparts: Self-Supervised Graph Contrastive Learning With Positive Sampling

New Bounds on the Accuracy of Majority Voting for Multiclass Classification

MultiFair: Model Fairness With Multiple Sensitive Attributes

PrivFR: Privacy-Enhanced Federated Recommendation With Shared Hash Embedding

SATF: A Scalable Attentive Transfer Framework for Efficient Multiagent Reinforcement Learning

Size and Depth of Monotone Neural Networks: Interpolation and Approximation

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