Search Results - "Deep Learning"

Evaluating OpenFace: an open-source automatic facial comparison algorithm for forensics by Angeliki Fydanaki, Zeno Geradts

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Preparation of image databases for artificial intelligence algorithm development in gastrointestinal endoscopy by Chang Bong Yang, Sang Hoon Kim, Yun Jeong Lim

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Artificial intelligence, nano-technology and genomic medicine: The future of anaesthesia by Shagufta Naaz, Adil Asghar

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Facial expression recognition via transfer learning by Bin Li

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Tea category classification via 5-layer customized convolutional neural network by Xiang Li, Mengyao Zhai, Junding Sun

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Artificial Intelligence in Drug Metabolism and Excretion Prediction: Recent Advances, Challenges, and Future Perspectives by Thi Tuyet Van Tran, Hilal Tayara, Kil To Chong

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RANCANG BANGUN APLIKASI FAKE NEWS DETECTOR MENGGUNAKAN METODE LONG SHORT TERM MEMORY by Bisma Wahyu Anaafie, -

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IMPLEMENTASI EDUCATIONAL DATA MINING UNTUK KLASIFIKASI KONSENTRASI PADA PROGRAM STUDI PENDIDIKAN TEKNIK ELEKTRO by Dani Akbar Nopia, -

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MPMABP: A CNN and Bi-LSTM-Based Method for Predicting Multi-Activities of Bioactive Peptides by You Li, Xueyong Li, Yuewu Liu, Yuhua Yao, Guohua Huang

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The Chatbots' Challenge to Education: Disruption or Destruction? by Menucha Birenbaum

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In silico discovery of repetitive elements as key sequence determinants of 3D genome folding by Laura M. Gunsalus, Michael J. Keiser, Katherine S. Pollard

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Progress in biological age research by Zhe Li, Zhe Li, Weiguang Zhang, Yuting Duan, Yuting Duan, Yue Niu, Yizhi Chen, Yizhi Chen, Xiaomin Liu, Zheyi Dong, Ying Zheng, Xizhao Chen, Zhe Feng, Yong Wang, Delong Zhao, Xuefeng Sun, Guangyan Cai, Hongwei Jiang, Xiangmei Chen

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Convolutional Neural Network Technology in Endoscopic Imaging: Artificial Intelligence for Endoscopy by Joonmyeong Choi, Keewon Shin, Jinhoon Jung, Hyun-Jin Bae, Do Hoon Kim, Jeong-Sik Byeon, Namku Kim

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Inculcating the practice of reflection among medical students: Role of teachers by Saurabh RamBihariLal Shrivastava, Prateek Saurabh Shrivastava

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Advances in Modeling Approaches for Oral Drug Delivery: Artificial Intelligence, Physiologically-Based Pharmacokinetics, and First-Principles Models by Yehuda Arav

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Inculcating the practice of reflection among medical students: Role of teachers by Saurabh RamBihariLal Shrivastava, Prateek Saurabh Shrivastava

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Multivariate Statistical Machine Learning Methods for Genomic Prediction by Montesinos López, Osval Antonio, Montesinos López, Abelardo, Crossa, José

Table of Contents: “…Preface -- Chapter 1 -- General elements of genomic selection and statistical learning -- Chapter. 2 -- Preprocessing tools for data preparation -- Chapter. 3 -- Elements for building supervised statistical machine learning models -- Chapter. 4 -- Overfitting, model tuning and evaluation of prediction performance -- Chapter. 5 -- Linear Mixed Models -- Chapter. 6 -- Bayesian Genomic Linear Regression -- Chapter. 7 -- Bayesian and classical prediction models for categorical and count data -- Chapter. 8 -- Reproducing Kernel Hilbert Spaces Regression and Classification Methods -- Chapter. 9 -- Support vector machines and support vector regression -- Chapter. 10 -- Fundamentals of artificial neural networks and deep learning -- Chapter. 11 -- Artificial neural networks and deep learning for genomic prediction of continuous outcomes -- Chapter. 12 -- Artificial neural networks and deep learning for genomic prediction of binary, ordinal and mixed outcomes -- Chapter. 13 -- Convolutional neural networks -- Chapter. 14 -- Functional regression -- Chapter. 15 -- Random forest for genomic prediction.…”
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Manifold Learning Model Reduction in Engineering / by Ryckelynck, David, Casenave, Fabien, Akkari, Nissrine

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DeepMalaria: Artificial Intelligence Driven Discovery of Potent Antiplasmodials by Arash Keshavarzi Arshadi, Milad Salem, Jennifer Collins, Jiann Shiun Yuan, Debopam Chakrabarti

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Hypothesis‐free deep survival learning applied to the tumour microenvironment in gastric cancer by Armin Meier, Katharina Nekolla, Lindsay C Hewitt, Sophie Earle, Takaki Yoshikawa, Takashi Oshima, Yohei Miyagi, Ralf Huss, Günter Schmidt, Heike I Grabsch

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