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The use of van Hiele theory as a theoretical framework for technology-assisted geometry learning
The use of van Hiele theory as a theoretical framework for technology-assisted geometry learning
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The use of van Hiele theory as a theoretical framework for technology-assisted geometry learning

AIP Conference Proceedings, 2023, Vol.2614 (1) [Periódico revisado por pares]

Melville: American Institute of Physics

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"Tubruk" painting technique of Batik: Understanding number pattern through project-based learning
"Tubruk" painting technique of Batik: Understanding number pattern through project-based learning
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"Tubruk" painting technique of Batik: Understanding number pattern through project-based learning

Rohmat, Hasan Titis ; Toyib Muhamad ; Nuqthy, Faiziyah

AIP Conference Proceedings, 2023, Vol.2727 (1) [Periódico revisado por pares]

Melville: American Institute of Physics

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CodeS: Towards Code Model Generalization Under Distribution Shift
CodeS: Towards Code Model Generalization Under Distribution Shift
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CodeS: Towards Code Model Generalization Under Distribution Shift

Hu, Qiang ; Guo, Yuejun ; Xie, Xiaofei ; Cordy, Maxime ; Papadakis, Mike ; Ma, Lei ; Le Traon, Yves

2023 IEEE/ACM 45th International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER), 2023, p.1-6

IEEE

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4
Neurally-Inspired Hyperdimensional Classification for Efficient and Robust Biosignal Processing
Neurally-Inspired Hyperdimensional Classification for Efficient and Robust Biosignal Processing
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Neurally-Inspired Hyperdimensional Classification for Efficient and Robust Biosignal Processing

Ni, Yang ; Lesica, Nicholas ; Zeng, Fan-Gang ; Imani, Mohsen

2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2022, p.1-9

ACM

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5
SynergicLearning: Neural Network-Based Feature Extraction for Highly-Accurate Hyperdimensional Learning
SynergicLearning: Neural Network-Based Feature Extraction for Highly-Accurate Hyperdimensional Learning
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SynergicLearning: Neural Network-Based Feature Extraction for Highly-Accurate Hyperdimensional Learning

Nazemi, Mahdi ; Esmaili, Amirhossein ; Fayyazi, Arash ; Pedram, Massoud

2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2020, p.1-9

Association on Computer Machinery

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6
Potential Based Reward Shaping Using Learning to Rank
Potential Based Reward Shaping Using Learning to Rank
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Potential Based Reward Shaping Using Learning to Rank

Raza, Syed Ali ; Williams, Mary-Anne

Proceedings of the Companion of the 2017 ACM/IEEE International Conference on human-robot interaction, 2017, p.261-262

ACM

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Unconventional Formats of Background Knowledge from Human Teacher in Reward Shaping
Unconventional Formats of Background Knowledge from Human Teacher in Reward Shaping
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Unconventional Formats of Background Knowledge from Human Teacher in Reward Shaping

Raza, Syed Ali ; Williams, Mary-Anne

Proceedings of the Companion of the 2017 ACM/IEEE International Conference on human-robot interaction, 2017, p.373-374

ACM

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8
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion
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DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion

Cord, Matthieu ; Douillard, Arthur ; Ramé, Alexandre ; Couairon, Guillaume

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

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9
WaferHSL: Wafer Failure Pattern Classification with Efficient Human-Like Staged Learning
WaferHSL: Wafer Failure Pattern Classification with Efficient Human-Like Staged Learning
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WaferHSL: Wafer Failure Pattern Classification with Efficient Human-Like Staged Learning

Wang, Qijing ; Wong, Martin D.F.

2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2022, p.1-8

ACM

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10
Asymmetric Transitivity Preserving Graph Embedding
Asymmetric Transitivity Preserving Graph Embedding
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Asymmetric Transitivity Preserving Graph Embedding

Ou, Mingdong ; Cui, Peng ; Pei, Jian ; Zhang, Ziwei ; Zhu, Wenwu

Proceedings of the 22nd ACM SIGKDD International Conference on knowledge discovery and data mining, 2016, p.1105-1114

ACM

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