Search Results - "machine learning"

A Machine Learning Based Framework to Identify and Classify Non-alcoholic Fatty Liver Disease in a Large-Scale Population by Weidong Ji, Mingyue Xue, Yushan Zhang, Hua Yao, Yushan Wang

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Depression Prediction by Using Ecological Momentary Assessment, Actiwatch Data, and Machine Learning: Observational Study on Older Adults Living Alone by Kim, Heejung, Lee, SungHee, Lee, SangEun, Hong, Soyun, Kang, HeeJae, Kim, Namhee

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Identification of high-risk patients for referral through machine learning assisting the decision making to manage minor ailments in community pharmacies by Noelia Amador-Fernández, Noelia Amador-Fernández, Shalom I. Benrimoj, Victoria García-Cárdenas, Miguel Ángel Gastelurrutia, Emma L. Graham, Rubén Palomo-Llinares, Julia Sánchez-Tormo, Vicente J. Baixauli Fernández, Elena Pérez Hoyos, Javier Plaza Zamora, Vicente Colomer Molina, Ricardo Fuertes González, Óscar García Agudo, Fernando Martínez-Martínez

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An analysis of intrusion detection classification using supervised machine learning algorithms on NSL-KDD dataset / Sarthak Rastogi ... [et al.] by Rastogi, Sarthak, Shrotriya, Archit, Singh, Mitul Kumar, Potukuchi, Raghu Vamsi

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Machine learning techniques for early heart failure prediction / Nur Shahellin Mansur Huang, Zaidah Ibrahim and Norizan Mat Diah by Mansur Huang, Nur Shahellin, Ibrahim, Zaidah, Mat Diah, Norizan

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IDENTIFIKASI KANKER KULIT (MELANOMA) PADA CITRA MENGGUNAKAN ALGORITMA MACHINE LEARNING K-NEAREST NEIGHBOR (K-NN) CLASSIFIER by Jasmine Athira Azzahra,

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Intelligent Sensor Networks The Integration of Sensor Networks, Signal Processing and Machine Learning

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Intelligent Sensor Networks The Integration of Sensor Networks, Signal Processing and Machine Learning

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Multiple-Aspect Analysis of Semantic Trajectories First International Workshop, MASTER 2019, Held in Conjunction with ECML-PKDD 2019, Würzburg, Germany, September 16, 2019, Proceed...

Table of Contents: “…Learning from our Movements - The Mobility Data Analytics Era -- Uncovering hidden concepts from AIS data: A network abstraction of maritime traffic for anomaly detection -- Nowcasting Unemployment Rates with Smartphone GPS data -- Online long-term trajectory prediction based on mined route patterns -- EvolvingClusters: Online Discovery of Group Patterns in Enriched Maritime Data -- Prospective Data Model and Distributed Query Processing for Mobile Sensing Data Streams -- Predicting Fishing Effort and Catch Using Semantic Trajectories and Machine Learning -- A Neighborhood-augmented LSTM Model for Taxi-Passenger Demand Prediction -- Multi-Channel Convolutional Neural Networks for Handling Multi-Dimensional Semantic Trajectories and Predicting Future Semantic Locations.…”
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Metalearning Applications to Automated Machine Learning and Data Mining / by Brazdil, Pavel, van Rijn, Jan N., Soares, Carlos, Vanschoren, Joaquin

Table of Contents: “…Introduction -- Part I, Basic Architecture of Metalearning and AutoML Systems -- Metalearning Approaches for Algorithm Selection I -- Evaluating Recommendations of Metalearning / AutoML Systems -- Metalearning Approaches for Algorithm Selection II -- Automating Machine Learning (AutoML) and Algorithm Configuration -- Dataset Characteristics (Metafeatures) -- Automating the Workflow / Pipeline Design -- Part II, Extending the Architecture of Metalearning and AutoML Systems -- Setting Up Configuration Spaces and Experiments -- Using Metalearning in the Construction of Ensembles -- Algorithm Recommendation for Data Streams -- Transfer of Metamodels Across Tasks -- Automating Data Science -- Automating the Design of Complex Systems -- Repositories of Experimental Results (OpenML) -- Learning from Metadata in Repositories.…”
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Hypergraph Computation by Dai, Qionghai, Gao, Yue

Subjects: “…Machine learning.…”
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Pattern Recognition Analysis and Applications

Subjects: “…Machine learning bicssc…”
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Deep Learning Applications

Subjects: “…Machine learning bicssc…”
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Comparison of statistical and machine learning models for healthcare cost data: a simulation study motivated by Oncology Care Model (OCM) data by Madhu Mazumdar, Jung-Yi Joyce Lin, Wei Zhang, Lihua Li, Mark Liu, Kavita Dharmarajan, Mark Sanderson, Luis Isola, Liangyuan Hu

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Identification of a ferroptosis-related gene signature predicting recurrence in stage II/III colorectal cancer based on machine learning algorithms by Ze Wang, Ze Wang, Chenghao Ma, Qiong Teng, Jinyu Man, Jinyu Man, Xuening Zhang, Xuening Zhang, Xinjie Liu, Xinjie Liu, Tongchao Zhang, Tongchao Zhang, Wei Chong, Hao Chen, Hao Chen, Ming Lu, Ming Lu, Ming Lu

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Diagnosis prediction of tumours of unknown origin using ImmunoGenius, a machine learning-based expert system for immunohistochemistry profile interpretation by Yosep Chong, Nishant Thakur, Ji Young Lee, Gyoyeon Hwang, Myungjin Choi, Yejin Kim, Hwanjo Yu, Mee Yon Cho

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Machine Learning-Driven Models to Predict Prognostic Outcomes in Patients Hospitalized With Heart Failure Using Electronic Health Records: Retrospective Study by Lv, Haichen, Yang, Xiaolei, Wang, Bingyi, Wang, Shaobo, Du, Xiaoyan, Tan, Qian, Hao, Zhujing, Liu, Ying, Yan, Jun, Xia, Yunlong

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Exploration of programmed cell death-associated characteristics and immune infiltration in neonatal sepsis: new insights from bioinformatics analysis and machine learning by Yun Hang, Huanxia Qu, Juanzhi Yang, Zhang Li, Shiqi Ma, Chenlu Tang, Chuyan Wu, Yunlei Bao, Feng Jiang, Jin Shu

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Among Artificial Intelligence/Machine Learning Methods, Automated Gradient-Boosting Models Accurately Score Intraoral Plaque in Non-Standardized Images by Eric Coy, William Santo, Bonnie Jue, Helen Betts, Francisco Ramos-Gomez, Stuart A. Gansky

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Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities by Ricardo Gonzalez, Ashirbani Saha, Clinton J.V. Campbell, Peyman Nejat, Cynthia Lokker, Andrew P. Norgan

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