data_codes.rar by Zhe Li (22011704)

Confusion Matrix for Subspace algorithm (3000 Learning Cycles) providing insight into the performance evaluation of Subspace algorithm. by Sadia Nazim (21440115)

Data_Sheet_1_Sex differences in brain MRI using deep learning toward fairer healthcare outcomes.PDF by Mahsa Dibaji (20177271)

“…<p>This study leverages deep learning to analyze sex differences in brain MRI data, aiming to further advance fairness in medical imaging. …”

Summary of key articles on deep learning techniques in NLP. by Hongtao Wang (570131)

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Data&Code by anonymous author (20478659)

Input to the deep learning model and output trajectory. by Umar Zaman (19859645)

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Optical Tweezers with Optical Vortex Based on Deep Learning by Zhe Shen (325412)

“…Our work demonstrates that the proposed deep learning network can provide an effective algorithmic platform for the analysis and design of optical tweezers and is expected to promote the application of optical tweezers in biomedicine.…”

Accuracy Comparison of CDL with Other Deep Learning Models. by Afnan M. Alhassan (18349378)

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The genome coding scheme. by Wenbing Shi (5806160)

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code & data for GeoEvo by Wenhui Zhang (20474243)

Data and code resources. by Sam Hall-McMaster (10343795)

Data&Codes.rar by anonymous author (20478659)

Scatter diagram of different principal elements. by Jizhong Wang (7441697)

All Code and MoCap data for Cutaneous Rectilinear Algorithm tests by Henry Astley (22155685)

Overview of our deep learning pipeline for analyzing cellular autophagy. by Oriana Presacan (22232246)

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Fixed-Wing UAV Pose Estimation Using a Self-Organizing Map and Deep Learning by Nuno Pessanha Santos (7381244)

Data and code used in this article. by Yazhen Zhu (3595430)

Data_Sheet_1_Development of prognostic models for advanced multiple hepatocellular carcinoma based on Cox regression, deep learning and machine learning algorithms.CSV by Jie Shen (31533)

“…</p>Methods<p>Eligible patients with HCC were obtained from the Surveillance, Epidemiology, and End Results (SEER) database, and then prognostic models were built using Cox regression, machine learning (ML), and deep learning (DL) algorithms. The model’s performance was evaluated using C-index, receiver operating characteristic curve, Brier score and decision curve analysis, respectively, and the best model was interpreted using SHapley additive explanations (SHAP) interpretability technique.…”

Data_Sheet_2_Development of prognostic models for advanced multiple hepatocellular carcinoma based on Cox regression, deep learning and machine learning algorithms.docx by Jie Shen (31533)

“…</p>Methods<p>Eligible patients with HCC were obtained from the Surveillance, Epidemiology, and End Results (SEER) database, and then prognostic models were built using Cox regression, machine learning (ML), and deep learning (DL) algorithms. The model’s performance was evaluated using C-index, receiver operating characteristic curve, Brier score and decision curve analysis, respectively, and the best model was interpreted using SHapley additive explanations (SHAP) interpretability technique.…”

Generative Deep Learning-Aided Design of Flexible Molecular Crystals by Chenyang Zhao (533763)

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