Multi-Source Deep Transfer Learning Algorithm Based on Feature Alignment.zip by gao peng (10018607)

Code: Online Learning Algorithms for Portfolio Selection by David White (17270008)

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The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”

Four scenarios of alignment between algorithmic fairness and health equity. by Jee Young Kim (8137314)

code&data by Liyuan Liu (18298084)

“…The study identified outdoor sports facilities in Shanghai using advanced deep-learning techniques on remote sensing data. It then developed a greedy heuristic algorithm based on the Gaussian Two-Step Floating Catchment Area method and Gini coefficient analysis for evaluating and optimizing facility accessibility and fairness. …”

The parameter Alignment Score of the Smith-Waterman algorithm in the quantitative measurement of homology. by Ehsan Maleki (14149418)

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Prediction of pharmaceuticals occurrence based on sales data and Machine learning algorithms. by Júlia Bijos (14489543)

“…</p><p dir="ltr"><b>Antibioticos/Carbamazepina</b>: contains the main codes of the prediction models to classify the occurrence concentrations of some antibiotics and Carbamazepine, by tree boosting algorithms.…”

Comparison of federated learning algorithms. by Duy-Dong Le (22057362)

Comparing Within- and Cross-Project Machine Learning Algorithms for Code Smell Detection by Manuel De Stefano (8634399)

The parameter Identity of the Smith-Waterman algorithm in the quantitative measurement of homology. by Ehsan Maleki (14149418)

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The parameter Similarity of the Smith-Waterman algorithm in the quantitative measurement of homology. by Ehsan Maleki (14149418)

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Data_Sheet_1_CRBA: A Competitive Rate-Based Algorithm Based on Competitive Spiking Neural Networks.PDF by Paolo G. Cachi (10683969)

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File includes code "Transfer learning.R" and "updatebeta.cpp" for implementing transfer learning methods. by Lulu Pan (8977979)

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The pseudo code of the experiment settings and comparisons (all methods are compared based based on same training/test data. by Shuwen Wang (457921)

Genomes used for alignment. by Raga Krishnakumar (11909990)

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

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Codes and datasets for AAAI 2021 paper "Learning to Pre-train Graph Neural Networks" by Yuanfu LU (8644788)

Subjects: “…Deep learning…”

The comparison of different ML algorithms on EN dataset in group AB.s. by Hakimeh Khojasteh (16748091)

Time and space complexities of the HELIOS compared to well-known algorithms, performing a pairwise sequence alignment. by Ehsan Maleki (14149418)

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A brief report of the accuracy measurement of classification output of the HELIOS method with referencing well-known algorithms, including Smith-Waterman, Needleman-Wunsch, Clustal... by Ehsan Maleki (14149418)

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