Index analysis of deep partitioning strategy. by Hui Yang (91136)

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Temporal response patterns determined by the GMM clustering algorithm across varying primary stimulus parameters (amplitude or onset ramp velocity) of all test stimuli. by Dinh K. Tang (20469082)

Deep Discrete Encoders: Identifiable Deep Generative Models for Rich Data with Discrete Latent Layers by Seunghyun Lee (1372719)

“…Motivated by this, we propose interpretable deep generative models for rich data types with discrete latent layers, called <i>Deep Discrete Encoders</i> (DDEs). …”

Hyperparameters for each classification model. by Rodrigo Gutiérrez Benítez (19746443)

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Comparison of Forecasting Models in Terms of Accuracy and Efficiency. by Nasir Nauman (22272299)

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Structure of encoder. by Wei Cui (92129)

“…This model captures both the temporal dependencies and global attention information in the traffic data. …”

Operational mechanism diagram of deep reinforcement learning retrieval optimization module, based on the user interaction retrieval strategy optimization process, encodes the user... by Yali Chen (24494)

Architecture of AGAN algorithm model. by Xing Chen (140292)

The algorithm of the applied models. by Elif Tuçe Bal (21367965)

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CDF comparing error accumulation across various models. by Nasir Nauman (22272299)

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Flowchart of the data-driven vs. the conventional approach. by Noam Omer (21402801)

S2 Data - Text intelligent correction in English translation: A study on integrating models with dependency attention mechanism by Yutong Liu (4027994)

S1 Data - Text intelligent correction in English translation: A study on integrating models with dependency attention mechanism by Yutong Liu (4027994)

The taxonomy of data augmentation. by Rodrigo Gutiérrez Benítez (19746443)

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Figure 1 from DeePathNet: A Transformer-Based Deep Learning Model Integrating Multiomic Data with Cancer Pathways by Zhaoxiang Cai (20445441)

Comparison results of prediction model with single algorithm and combination algorithm. by Jiayuan Wang (3765376)

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Comparative Evaluation of Convergence Rates: LSTM-GA and NARX vs Benchmark Models. by Nasir Nauman (22272299)

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Model-Based Clustering of Categorical Data Based on the Hamming Distance by Raffaele Argiento (647076)

“…The proposed method exploits the Hamming distance to define a family of probability mass functions to model the data. …”

Comparison of TodayNew with different intervals under FedAvg, FedProx and SCAFFOLD. by Pan Wang (198097)

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The accuracy of FashionMNIST dataset under FedAvg, FedProx, and SCAFFOLD. by Pan Wang (198097)

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