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Refinado por: Base de dados/Biblioteca: EZB Electronic Journals Library remover assunto: Machine Learning remover
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1
Artificial intelligence as the next step towards precision pathology
Artificial intelligence as the next step towards precision pathology
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Artificial intelligence as the next step towards precision pathology

Acs, B. ; Rantalainen, M. ; Hartman, J.

Journal of internal medicine, 2020-07, Vol.288 (1), p.62-81 [Periódico revisado por pares]

England: Blackwell Publishing Ltd

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2
Identify novel elements of knowledge with word embedding
Identify novel elements of knowledge with word embedding
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Identify novel elements of knowledge with word embedding

Yin, Deyun ; Wu, Zhao ; Yokota, Kazuki ; Matsumoto, Kuniko ; Shibayama, Sotaro Basile, Vincenzo

PloS one, 2023-06, Vol.18 (6), p.e0284567-e0284567 [Periódico revisado por pares]

United States: Public Library of Science

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3
A Deep Learning Framework for Predicting Response to Therapy in Cancer
A Deep Learning Framework for Predicting Response to Therapy in Cancer
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A Deep Learning Framework for Predicting Response to Therapy in Cancer

Sakellaropoulos, Theodore ; Vougas, Konstantinos ; Narang, Sonali ; Koinis, Filippos ; Kotsinas, Athanassios ; Polyzos, Alexander ; Moss, Tyler J. ; Piha-Paul, Sarina ; Zhou, Hua ; Kardala, Eleni ; Damianidou, Eleni ; Alexopoulos, Leonidas G. ; Aifantis, Iannis ; Townsend, Paul A. ; Panayiotidis, Mihalis I. ; Sfikakis, Petros ; Bartek, Jiri ; Fitzgerald, Rebecca C. ; Thanos, Dimitris ; Mills Shaw, Kenna R. ; Petty, Russell ; Tsirigos, Aristotelis ; Gorgoulis, Vassilis G.

Cell reports (Cambridge), 2019-12, Vol.29 (11), p.3367-3373.e4 [Periódico revisado por pares]

United States: Elsevier Inc

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4
Evaluating the indoor radon concentrations in the Swedish building stock using statistical and machine learning
Evaluating the indoor radon concentrations in the Swedish building stock using statistical and machine learning
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Evaluating the indoor radon concentrations in the Swedish building stock using statistical and machine learning

Wu, Pei-Yu ; Johansson, Tim ; Mangold, Mikael ; Sandels, Claes ; Mjörnell, Kristina

Journal of physics. Conference series, 2023-12, Vol.2654 (1), p.12086 [Periódico revisado por pares]

Bristol: IOP Publishing

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5
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
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Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

Menden, Michael P ; Wang, Dennis ; Mason, Mike J ; Szalai, Bence ; Bulusu, Krishna C ; Guan, Yuanfang ; Yu, Thomas ; Kang, Jaewoo ; Jeon, Minji ; Wolfinger, Russ ; Nguyen, Tin ; Zaslavskiy, Mikhail ; Jang, In Sock ; Ghazoui, Zara ; Ahsen, Mehmet Eren ; Vogel, Robert ; Neto, Elias Chaibub ; Norman, Thea ; Tang, Eric K Y ; Garnett, Mathew J ; Veroli, Giovanni Y Di ; Fawell, Stephen ; Stolovitzky, Gustavo ; Guinney, Justin ; Dry, Jonathan R ; Saez-Rodriguez, Julio

Nature communications, 2019-06, Vol.10 (1), p.2674-17, Article 2674 [Periódico revisado por pares]

England: Nature Publishing Group

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6
Using machine learning to detect events in eye-tracking data
Using machine learning to detect events in eye-tracking data
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Using machine learning to detect events in eye-tracking data

Zemblys, Raimondas ; Niehorster, Diederick C. ; Komogortsev, Oleg ; Holmqvist, Kenneth

Behavior research methods, 2018-02, Vol.50 (1), p.160-181 [Periódico revisado por pares]

New York: Springer US

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7
ViraMiner: Deep learning on raw DNA sequences for identifying viral genomes in human samples
ViraMiner: Deep learning on raw DNA sequences for identifying viral genomes in human samples
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ViraMiner: Deep learning on raw DNA sequences for identifying viral genomes in human samples

Tampuu, Ardi ; Bzhalava, Zurab ; Dillner, Joakim ; Vicente, Raul Melcher, Ulrich

PloS one, 2019-09, Vol.14 (9), p.e0222271-e0222271 [Periódico revisado por pares]

United States: Public Library of Science

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8
PTPD: predicting therapeutic peptides by deep learning and word2vec
PTPD: predicting therapeutic peptides by deep learning and word2vec
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PTPD: predicting therapeutic peptides by deep learning and word2vec

Wu, Chuanyan ; Gao, Rui ; Zhang, Yusen ; De Marinis, Yang

BMC bioinformatics, 2019-09, Vol.20 (1), p.456-456, Article 456 [Periódico revisado por pares]

England: BioMed Central Ltd

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9
SinGAN-Seg: Synthetic training data generation for medical image segmentation
SinGAN-Seg: Synthetic training data generation for medical image segmentation
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SinGAN-Seg: Synthetic training data generation for medical image segmentation

Thambawita, Vajira ; Salehi, Pegah ; Sheshkal, Sajad Amouei ; Hicks, Steven A ; Hammer, Hugo L ; Parasa, Sravanthi ; Lange, Thomas de ; Halvorsen, Pål ; Riegler, Michael A Stoean, Ruxandra

PloS one, 2022-05, Vol.17 (5), p.e0267976-e0267976 [Periódico revisado por pares]

United States: Public Library of Science

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10
Interpreting biologically informed neural networks for enhanced proteomic biomarker discovery and pathway analysis
Interpreting biologically informed neural networks for enhanced proteomic biomarker discovery and pathway analysis
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Interpreting biologically informed neural networks for enhanced proteomic biomarker discovery and pathway analysis

Hartman, Erik ; Scott, Aaron M ; Karlsson, Christofer ; Mohanty, Tirthankar ; Vaara, Suvi T ; Linder, Adam ; Malmström, Lars ; Malmström, Johan

Nature communications, 2023-09, Vol.14 (1), p.5359-5359, Article 5359 [Periódico revisado por pares]

London: Nature Publishing Group

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