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  1. 3381

    Research on anomaly detection algorithm based on sparse variational autoencoder using spike and slab prior by Huahua CHEN, Zhe CHEN

    Published 2022-12-01
    “…Anomaly detection remains to be an essential and extensive research branch in data mining due to its widespread use in a wide range of applications.It helps researchers to obtain vital information and make better decisions about data by detecting abnormal data.Considering that sparse coding can get more powerful features and improve the performance of other tasks, an anomaly detection model based on sparse variational autoencoder was proposed.Firstly, the discrete mixed modelspike and slab distribution was used as the prior of variational autoencoder, simulated the sparsity of the space where the hidden variables were located, and obtained the sparse representation of data characteristics.Secondly, combined with the deep support vector network, the feature space was compressed, and the optimal hypersphere was found to discriminate normal data and abnormal data.And then, the abnormal fraction of the data was measured by the Euclidean distance from the data feature to the center of the hypersphere, and then the abnormal detection was carried out.Finally, the algorithm was evaluated on the benchmark datasets MNIST and Fashion-MNIST, and the experimental results show that the proposed algorithm achieves better effects than the state-of-the-art methods.…”
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    Article
  2. 3382

    A Local Extended Algorithm Combined with Degree and Clustering Coefficient to Optimize Overlapping Community Detection by Jing Liu, Junfang Guo, Qi Li

    Published 2021-01-01
    “…Experimental results show that the proposed algorithm can achieve better community partitioning results than other state-of-the-art algorithms.…”
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    Article
  3. 3383

    Lightweight Photo-Response Non-Uniformity Fingerprint Extraction Algorithm Based on an Invertible Denoising Network by Zihang Yuan, Yanhui Xiao, Huawei Tian

    Published 2024-12-01
    “…Experimental results show that this algorithm exhibits superior PRNU fingerprint extraction performance and generalization ability compared to the state-of-the-art PRNU fingerprint extraction algorithms.…”
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    Article
  4. 3384

    Firefly Algorithm for Cardinality Constrained Mean-Variance Portfolio Optimization Problem with Entropy Diversity Constraint by Nebojsa Bacanin, Milan Tuba

    Published 2014-01-01
    “…Our proposed modified firefly algorithm proved to be better than other state-of-the-art algorithms, while introduction of entropy diversity constraint further improved results.…”
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    Article
  5. 3385

    Gaitmap—An Open Ecosystem for IMU-Based Human Gait Analysis and Algorithm Benchmarking by Arne Kuderle, Martin Ullrich, Nils Roth, Malte Ollenschlager, Alzhraa A. Ibrahim, Hamid Moradi, Robert Richer, Ann-Kristin Seifer, Matthias Zurl, Raul C. Simpetru, Liv Herzer, Dominik Prossel, Felix Kluge, Bjoern M. Eskofier

    Published 2024-01-01
    “…<italic>Methods:</italic> This initial release includes over 20 state-of-the-art algorithms, enables easy access to seven datasets, and provides eight benchmark challenges with reference implementations. …”
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    Article
  6. 3386

    A Method for Detecting Overlapping Protein Complexes Based on an Adaptive Improved FCM Clustering Algorithm by Caixia Wang, Rongquan Wang, Kaiying Jiang

    Published 2025-01-01
    “…Finally, the performance of the DFPO algorithm was evaluated using multiple metrics and compared with over ten state-of-the-art protein complex detection algorithms. …”
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    Article
  7. 3387

    A Systematic Literature Review on Robust Swarm Intelligence Algorithms in Search-Based Software Engineering by Alam Zeb, Fakhrud Din, Muhammad Fayaz, Gulzar Mehmood, Kamal Z. Zamli

    Published 2023-01-01
    “…The study also points out some of the areas where applications of these swarm intelligence algorithms can be utilized. This study may act as a guideline for researchers in improving the current state-of-the-art on generally adopting these metaheuristics in software engineering.…”
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    Article
  8. 3388

    An Improved Sequential Recommendation Algorithm based on Short-Sequence Enhancement and Temporal Self-Attention Mechanism by Jianjun Ni, Guangyi Tang, Tong Shen, Yu Cai, Weidong Cao

    Published 2022-01-01
    “…Sequential recommendation algorithm can predict the next action of a user by modeling the user’s interaction sequence with an item. …”
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    Article
  9. 3389

    Incremental learning algorithm for dynamic evolution of domain specific vocabulary with its stability and plasticity analysis by Mansi Jain, Harmeet Kaur, Bhavna Gupta, Jaya Gera, Vandana Kalra

    Published 2025-01-01
    “…This paper presents an incremental learning algorithm for updating domain-specific vocabularies. …”
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    Article
  10. 3390

    Microscale search-based algorithm based on time-space transfer for automated test case generation by Yinghan Hong, Fangqing Liu, Han Huang, Yi Xiang, Xueming Yan, Guizhen Mai

    Published 2025-01-01
    “…The results show that MISA-TST achieves significantly higher path coverage than other state-of-the-art algorithms in most benchmarks. Furthermore, the combination of the two time-space transfer strategies significantly enhances the performance of search-based algorithms like MISA, especially in large-scale unit programs.…”
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    Article
  11. 3391

    Maritime Small Object Detection Algorithm in Drone Aerial Images Based on Improved YOLOv8 by Peng Ling, Yihong Zhang, Shuai Ma

    Published 2024-01-01
    “…Combining unmanned aerial vehicles (UAVs) with deep learning algorithms offers an efficient, safe and inexpensive alternative to maritime search and rescue (mSAR) missions. …”
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  12. 3392

    Exploring machine learning algorithms for predicting fertility preferences among reproductive age women in Nigeria by Zinabu Bekele Tadese, Teshome Demis Nimani, Kusse Urmale Mare, Fetlework Gubena, Ismail Garba Wali, Jamilu Sani

    Published 2025-01-01
    “…Hence, this study aimed to predict the fertility preferences of reproductive age women in Nigeria using state-of-the-art machine learning techniques.MethodsSecondary data analysis from the recent 2018 Nigeria Demographic and Health Survey dataset was employed using feature selection to identify predictors to build machine learning models. …”
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    Article
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