Suchergebnisse - Active Learning in Machine Learning Research

The roles of artificial intelligence techniques for increasing the prediction performance of important parameters and their optimization in membrane processes: A systematic review von Shuai Yuan, Hossein Ajam, Zainab Ali Bu Sinnah, Farag M. A. Altalbawy, Sabah Auda Abdul Ameer, Ahmed Husain, Zuhair I. Al Mashhadani, Ahmed Alkhayyat, Ali Alsalamy, Riham Ali Zubaid, Yan Cao

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Secure Image Inference Using Pairwise Activation Functions von Jonas T. Agyepong, Mostafa I. Soliman, Yasutaka Wada, Keiji Kimura, Ahmed El-Mahdy

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Machine learning for active matter von Cichos, Frank, Gustavsson, Kristian, Mehlig, Bernhard, Volpe, Giovanni

“… The availability of large datasets has boosted the application of machine learning in many fields and is now starting to shape active-matter research as well …”
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Research on Cu-Sn machine learning interatomic potential with active learning strategy von Liu, Jinyan, Zhang, Guanghao, Wang, Jianyong, Zhang, Hong, Han, Ye

“… Fig.1 Active learning Cu-Sn DP model workflow. δ represented the model deviation …”
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Underwater Acoustic Research Trends with Machine Learning: Active SONAR Applications von Yang, Haesang, Byun, Sung-Hoon, Lee, Keunhwa, Choo, Youngmin, Kim, Kookhyun

“… Presently, various types of machine learning techniques are being widely used to extract information from acoustic data …”
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Research on intelligent semi-active control algorithms and seismic reliability based on machine learning von Xiao, Zhongyuan, Xu, Jianguo, Wang, Li, Huang, Liang

“… Building upon this, an intelligent semi-active control algorithm leveraging machine learning is introduced …”
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Structure Guided Deep Neural Network for Unsupervised Active Learning von Li, Changsheng, Ma, Handong, Yuan, Ye, Wang, Guoren, Xu, Dong

“… Unsupervised active learning has become an active research topic in the machine learning and computer vision communities, whose goal is to choose a subset of representative samples to be labeled …”
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Active Machine Learning for Chemical Engineers: A Bright Future Lies Ahead von Ureel, Yannick, Dobbelaere, Maarten R., Ouyang, Yi, De Ras, Kevin, Sabbe, Maarten K., Marin, Guy B., Van Geem, Kevin M.

“… By combining machine learning with the design of experiments, thereby achieving so-called active machine learning, more efficient and cheaper research can be conducted …”
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Radiological images and machine learning: Trends, perspectives, and prospects von Zhang, Zhenwei, Sejdić, Ervin

“… The application of machine learning to radiological images is an increasingly active research area that is expected to grow in the next five to ten years …”
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Proactive Push Research on Personalized Learning Resources Based on Machine Learning von Wang, Lu

“… This article analyzes the role of traditional big data technology and machine learning technology in recommending personalized learning resources in educational assistance systems …”
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Editorial of Special Issue “Deep Learning and Machine Learning in Bioinformatics” von Kang, Mingon, Oh, Jung Hun

“… In recent years, deep learning has emerged as a highly active research field, achieving great success in various machine learning areas, including image processing, speech recognition, and natural …”
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Knowledge graphs as tools for explainable machine learning: A survey von Tiddi, Ilaria, Schlobach, Stefan

“… As of late, explainable AI has become a very active field of research by addressing the limitations of the latest machine learning solutions that often provide highly accurate, but hardly scrutable …”
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Research on the optimal selection method of sensors/actuators in active structural acoustic control for helicopter based on machine learning von Yuan, Yang, Lu, Yang, Sun, Jiaming, Wang, Changtian

“… •An intelligent sensors/actuators selection algorithm based on machine learning is proposed.•A simulation study is conducted using a helicopter cabin model as the object …”
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Artificial Intelligence and Machine Learning in Sport Research: An Introduction for Non-data Scientists von Chmait, Nader, Westerbeek, Hans

“… Likewise, for many, the motivations for adopting a machine learning (ML) paradigm in sports analytics are still either faint or unclear …”
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Examining active travel behavior through explainable machine learning: Insights from Beijing, China von Yin, Ganmin, Huang, Zhou, Fu, Chen, Ren, Shuliang, Bao, Yi, Ma, Xiaolei

“… To fill the gap, our study integrates large-scale big trip data and data-driven machine learning to simultaneously predict active travel flow and probability …”
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Int&in: A machine learning‐based web server for active split site identification in inteins von Schmitz, Mirko, Ballestin, Jara Ballestin, Liang, Junsheng, Tomas, Franziska, Freist, Leon, Voigt, Karsten, Di Ventura, Barbara, Öztürk, Mehmet Ali

“… Inteins are proteins that excise themselves out of host proteins and ligate the flanking polypeptides in an auto‐catalytic process called protein splicing. In …”
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Asymmetric Domain Nucleation from Dislocation Core in Barium Titanate: Molecular Dynamics Simulation Using Machine‐Learning Potential through Active Learning von Deguchi, Genki, Kobayashi, Ryo, Azuma, Hikaru, Ogata, Shuji, Uranagase, Masayuki, Spreafico, Samuele

“… In this article, a machine learning (ML) potential is developed to study the influence of dislocations on domain nucleation …”
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Expediting carbon dots synthesis by the active adaptive method with machine learning and applications in dental diagnosis and treatment von Tang, Yaoyao, Xu, Quan, Zhang, Xinyao, Zhu, Rongye, Zhao, Nuo, Wang, Juncheng

“… However, the synthesis method containing multivariable leads to high uncertainty, exhaustive attempts, and exorbitant manpower costs. Machine learning (ML …”
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Generalized SMO Algorithm for SVM-Based Multitask Learning von Feng Cai, Cherkassky, V.

“… Exploiting additional information to improve traditional inductive learning is an active research area in machine learning …”
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Research on Semi-active Air Suspensions of Heavy Trucks Based on a Combination of Machine Learning and Optimal Fuzzy Control von Yuan, Huan, Nguyen, Vanliem, Zhou, Huaxiang

“… A combination of machine learning (ML) and optimal fuzzy control (OFC) is proposed for the semi-active air suspensions of heavy trucks to further improve ride comfort and road friendliness …”
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