Hyperparameters of self-supervised learning algorithms used in Experiments 1–5. by Lalit Pandey (13195488)

Diagram of BILSTM-AEAM algorithm structure. by Hao Cao (2248066)

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<b>ODS2 - Dataset of smear microscopy images labelled to evaluate algorithms for bacilli detection</b> by Marly G F Costa (19812192)

Genetic algorithm flowchart. by Wenguang Li (6528113)

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Effect of post-processing threshold and algorithms performance on the communities abundance-structure estimation. by Valentine Fleuré (12822137)

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The processed data and results of manuscript "A Unified Framework for Deciphering Cellular Dynamics byLearning and Interpreting Vector Field" by Ruihong Xu (19517776)

Spatial spectrum estimation for three algorithms. by Chuanxi Xing (20141665)

“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”

<b>DDS3 - Dataset of mosaic sputum smear microscopy images for evaluation of bacillus detection algorithms</b> by Marly G F Costa (19812192)

K-SVD dictionary learning process. by Li Jiaqing (21212614)

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Obtained heat map for regression-based algorithms. by Akshansh Mishra (21001499)

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Filtered Labels after applying the data preparation algorithms. by Tanjim Taharat Aurpa (11250554)

Effect of video processing rate and algorithms performance on the estimation of species composition of simulated communities. by Valentine Fleuré (12822137)

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Effect of video processing rate and algorithms performance on the estimation of the abundance-structure of simulated communities. by Valentine Fleuré (12822137)

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Performance Analysis of Super-resolution Algorithms. by Persiya J. (21743388)

Optimization algorithms performance comparison across benchmark functions. by Sundreen Asad Kamal (20390818)

Frameworks: Infrastructure for Political and Social Event Data Using Machine Learning by Javier Osorio (21782588)

Summary of the metrics of the different trained algorithms that performed best in the Testing process for each dataset. by Jaime B. Matas-Bustos (21772430)

Results obtained from the supervised machine learning regression-based algorithms in the present work. by Akshansh Mishra (21001499)

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Performance of various biclustering algorithms on FilmTrust dataset with Q-learning. by Muhammad Waqar (500788)

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Feature importance plot obtained for regression-based algorithms. by Akshansh Mishra (21001499)

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