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Genomic prediction in plants: opportunities for ensemble machine learning based approaches [version 2; peer review: 1 approved, 2 approved with reservations]
Genomic prediction in plants: opportunities for ensemble machine learning based approaches [version 2; peer review: 1 approved, 2 approved with reservations]
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Genomic prediction in plants: opportunities for ensemble machine learning based approaches [version 2; peer review: 1 approved, 2 approved with reservations]

Farooq, Muhammad ; van Dijk, Aalt D.J. ; Nijveen, Harm ; Mansoor, Shahid ; de Ridder, Dick

F1000 research, 2023, Vol.11, p.802-802 [Periódico revisado por pares]

London: Faculty of 1000 Ltd

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2
MSTCN: A multiscale temporal convolutional network for user independent human activity recognition [version 2; peer review: 2 approved, 1 approved with reservations]
MSTCN: A multiscale temporal convolutional network for user independent human activity recognition [version 2; peer review: 2 approved, 1 approved with reservations]
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MSTCN: A multiscale temporal convolutional network for user independent human activity recognition [version 2; peer review: 2 approved, 1 approved with reservations]

Raja Sekaran, Sarmela ; Pang, Ying Han ; Ling, Goh Fan ; Yin, Ooi Shih

F1000 research, 2022, Vol.10, p.1261-1261 [Periódico revisado por pares]

London: Faculty of 1000 Ltd

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3
Recent advancements in machine vision methods for product code recognition: A systematic review [version 1; peer review: 2 approved]
Recent advancements in machine vision methods for product code recognition: A systematic review [version 1; peer review: 2 approved]
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Recent advancements in machine vision methods for product code recognition: A systematic review [version 1; peer review: 2 approved]

Koponen, Jarmo ; Haataja, Keijo ; Toivanen, Pekka

F1000 research, 2022, Vol.11, p.1099-1099 [Periódico revisado por pares]

London: Faculty of 1000 Ltd

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4
Turning any bed into an intensive care unit with the Internet of things and artificial intelligence technology. Presenting the enhanced mechanical ventilator [version 1; peer review: 1 approved, 2 approved with reservations]
Turning any bed into an intensive care unit with the Internet of things and artificial intelligence technology. Presenting the enhanced mechanical ventilator [version 1; peer review: 1 approved, 2 approved with reservations]
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Turning any bed into an intensive care unit with the Internet of things and artificial intelligence technology. Presenting the enhanced mechanical ventilator [version 1; peer review: 1 approved, 2 approved with reservations]

Pulido Morales, Leidy Lorena ; Buitrago Romero, Juan Sebastian ; Ardila Sanchez, Ismael A. ; Yepes-Calderon, Fernando

F1000 research, 2022, Vol.11, p.1570-1570 [Periódico revisado por pares]

England: Faculty of 1000 Ltd

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5
Deep supervised hashing for gait retrieval [version 2; peer review: 2 approved]
Deep supervised hashing for gait retrieval [version 2; peer review: 2 approved]
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Deep supervised hashing for gait retrieval [version 2; peer review: 2 approved]

Sayeed, Shohel ; Min, Pa Pa ; Ong, Thian Song

F1000 research, 2022, Vol.10, p.1038-1038 [Periódico revisado por pares]

London: Faculty of 1000 Ltd

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6
WBC-based segmentation and classification on microscopic images: a minor improvement [version 1; peer review: 2 approved]
WBC-based segmentation and classification on microscopic images: a minor improvement [version 1; peer review: 2 approved]
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WBC-based segmentation and classification on microscopic images: a minor improvement [version 1; peer review: 2 approved]

Lam, Xin-Hui ; Ng, Kok-Why ; Yoong, Yih-Jian ; Ng, Seng-Beng

F1000 research, 2021, Vol.10, p.1168-1168 [Periódico revisado por pares]

England: Faculty of 1000 Ltd

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7
Pancreatic cancer grading in pathological images using deep learning convolutional neural networks [version 2; peer review: 2 approved]
Pancreatic cancer grading in pathological images using deep learning convolutional neural networks [version 2; peer review: 2 approved]
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Pancreatic cancer grading in pathological images using deep learning convolutional neural networks [version 2; peer review: 2 approved]

Mohamad Sehmi, Muhammad Nurmahir ; Ahmad Fauzi, Mohammad Faizal ; Wan Ahmad, Wan Siti Halimatul Munirah ; Wan Ling Chan, Elaine

F1000 research, 2022-11, Vol.10, p.1057-1057 [Periódico revisado por pares]

London: Faculty of 1000 Ltd

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8
Assessing structure and disorder prediction tools for de novo emerged proteins in the age of machine learning [version 1; peer review: 2 approved]
Assessing structure and disorder prediction tools for de novo emerged proteins in the age of machine learning [version 1; peer review: 2 approved]
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Assessing structure and disorder prediction tools for de novo emerged proteins in the age of machine learning [version 1; peer review: 2 approved]

Aubel, Margaux ; Eicholt, Lars ; Bornberg-Bauer, Erich

F1000 research, 2023, Vol.12, p.347-347 [Periódico revisado por pares]

England: Faculty of 1000 Ltd

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9
Granite classification using machine learning and edge computing [version 1; peer review: 1 approved, 2 approved with reservations]
Granite classification using machine learning and edge computing [version 1; peer review: 1 approved, 2 approved with reservations]
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Granite classification using machine learning and edge computing [version 1; peer review: 1 approved, 2 approved with reservations]

Karanam, Madhavi ; Nagaraju, Krishna Chythanya ; P, Gotham Sai ; S, SaiKiran Manasa ; G, Pranay Krishna

F1000 research, 2022, Vol.11, p.1276-1276 [Periódico revisado por pares]

London: Faculty of 1000 Ltd

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10
Modelling sentiments based on objectivity and subjectivity with self-attention mechanisms [version 2; peer review: 1 approved, 2 approved with reservations]
Modelling sentiments based on objectivity and subjectivity with self-attention mechanisms [version 2; peer review: 1 approved, 2 approved with reservations]
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Modelling sentiments based on objectivity and subjectivity with self-attention mechanisms [version 2; peer review: 1 approved, 2 approved with reservations]

Ng, Hu ; Chia, Glenn Jun Weng ; Yap, Timothy Tzen Vun ; Goh, Vik Tor

F1000 research, 2021, Vol.10, p.1001-1001 [Periódico revisado por pares]

England: Faculty of 1000 Ltd

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