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102

Effector-GAN: prediction of fungal effector proteins based on pretrained deep representation learning methods and generative adversarial networks.
Wang, Yansu ; Luo, Ximei ; Zou, Quan
Bioinformatics; Jul2022, Vol. 38 Issue 14, p3541-3548, 8p

INTERNET servers GENERATIVE adversarial n... FUNGAL proteins PROBABILISTIC generative... DEEP learning PHYTOPATHOGENIC fungi …
Fachzeitschrift
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103

Convex Optimization for Machine Learning
Suh, Changho

Convex Optimization, Dee... Optimization
E-Book
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104

Mechanical submodels driven by machine learning : application to structural dynamics
Sous-modèles mécaniques pilotés par machine learning : application à la dynamique des structures
Boukraichi, Hamza ; Centre des Matériaux (MAT) ; Mines Paris - PSL (École nationale supérieure des mines de Paris) ; et al.
Materials. Université Paris sciences et lettres, 2023. English. ⟨NNT : 2023UPSLM003⟩

Uncertainty quantificati... Regression model Supervised learning Structural zoom Submodeling Generative models …
Dissertation
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105

Enhancing MIMO-OFDM channel estimation in 5G and beyond with conditional self-attention generative adversarial networks.
Alqahtani, Abdullah Saleh ; Pandiaraj, Saravanan ; Alshmrany, Sami ; et al.
Wireless Networks (10220038). Apr2024, Vol. 30 Issue 3, p1719-1736. 18p.

GENERATIVE adversarial n... SYMBOL error rate CHANNEL estimation STATISTICS DOPPLER effect MIMO systems
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106

On the Value of Using 3D Shape and Electrostatic Similarities in Deep Generative Methods
Bolcato, Giovanni ; Heid, Esther ; Boström, Jonas
Journal of Chemical Information and Modeling. 62(6):1388-1398

Rezension
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108

A multi-modality framework for precise brain tumor detection and multi-class classification using hybrid GAN approach
Karpakam, S. ; Kumareshan, N.
In Biomedical Signal Processing and Control June 2025 104

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109

Data-driven discovery of vanadium-based anode materials for lithium-ion batteries
Mo, Yunhe ; Tang, Zhenqiang ; Zheng, Long ; et al.
In Journal of Energy Storage 15 May 2025 118

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110

Development of a Machine-Learning Intrusion Detection System and Testing of Its Performance Using a Generative Adversarial Network
Andrei-Grigore Mari ; Daniel Zinca ; Virgil Dobrota
Sensors, Vol 23, Iss 3, p 1315 (2023)

generative adversarial n... intrusion detection syst... intrusion evasion machine learning NSL-KDD dataset Python …
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111

Data Generation with Variational Autoencoders and Generative Adversarial Networks
Daniil Devyatkin ; Ivan Trenev
Engineering Proceedings, Vol 33, Iss 1, p 37 (2023)

machine learning deep learning autoencoders generative adversarial n... MNIST Engineering machinery …
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112

LineageVAE: reconstructing historical cell states and transcriptomes toward unobserved progenitors.
Majima K ; Kojima Y ; Minoura K ; et al.
Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE

Humans Cell Lineage Sequence Analysis, RNA m... Hematopoiesis genetics Deep Learning Animals …
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113

Machine learning y deep learning
Bobadilla Sancho, Jesús

Machine learning Aprendizaje automático Modelos de regresión Aprendizaje profundo (ap... Inteligencia artificial Deep learning (machine l... …
Buch
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114

Optimizing learning outcomes: a deep dive into hybrid AI models for adaptive educational feedback.
Qadir, Hafiz Muhammad ; Suleman, M. Taseer ; Khan, Rafaqat Alam ; et al.
Journal of Big Data; 6/5/2025, Vol. 12 Issue 1, p1-26, 26p

ARTIFICIAL neural networ... DATA mining LONG short-term memory ENSEMBLE learning RECURRENT neural network... DEEP learning
Fachzeitschrift
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115

Convex Optimization for Machine Learning
Suh, Changho

Convex Optimization, Dee... Textbook Optimization
E-Book
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116

Integrating Generative Machine Learning Models and Physics-Based Models for Building Energy Simulation
Luigi Vanfretti ; Christopher R. Laughman ; Ankush Chakrabarty
Linköping Electronic Conference Proceedings. 207:178-188

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117

PREDICTING STOCK MARKET TRENDS WITH PYTHON
Mariia Kapinus ; Katerynа Liashenko ; Nikolina Ljepava ; et al.
Grail of Science. :109-116

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118

AIMSim: An accessible cheminformatics platform for similarity operations on chemicals datasets
Bhattacharjee, Himaghna ; Burns, Jackson ; Vlachos, Dionisios G.
In Computer Physics Communications February 2023 283

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119

Personalized Intervention based on the Early Prediction of At-risk Students to Improve Their Learning Performance.
Huang, Anna Y. Q. ; Jei Wei Chang ; Yang, Albert C. M. ; et al.
Educational Technology & Society. Oct2023, Vol. 26 Issue 4, p69-89. 21p.

Intelligent tutoring sys... At-risk students Self-regulated learning Artificial intelligence Language models Deep learning …
Fachzeitschrift
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120

Modeling Structural Features with Structure Position-Aware Attention for Code Summarization.
Luo, Jian ; Qu, Zhiheng ; Cai, Bo
International Journal of Software Engineering & Knowledge Engineering. Dec2025, p1-19. 19p. 3 Illustrations.

TRANSFORMER models SOFTWARE engineering SOURCE code MACHINE learning COMPUTATIONAL linguistic... GENERALIZATION
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