The state of health in the European Union (EU-27) in 2019: a systematic analysis for the Global Burden of Disease study 2019 by Santos, JV, Padron-Monedero, A, Bikbov, B, Grad, DA, Plass, D, Mechili, EA, Gazzelloni, F, Fischer, F, Sulo, G, Ngwa, CH, Noguer-Zambrano, I, Peñalvo, JL, Haagsma, JA, Kissimova-Skarbek, K, Monasta, L, Ghith, N, Sarmiento-Suarez, R, Hrzic, R, Haneef, R, O’Caoimh, R, Cuschieri, S, Mondello, S, Kabir, Z, GBD 2019 EU State of Health Collaborators, Freitas, A, Devleesschauwer, B

Living by the lake: plant food diversity in a prehistoric lake-dwelling community in the Republic of North Macedonia by Holguin, A, Charles, M, Antolín, F, Ballantyne, R, Ergun, M, Hafner, A, Jacomet, S, Lotter, AF, Naumov, G, Reich, J, Soteras, R, Stroud, E, Tinner, W, Wood, R, Bogaard, A

“…This paper explores the relationship between wetland ecosystems and prehistoric lakeshore settlements within the Lake Ohrid basin (a biodiversity hotspot) by considering plant food systems at Ploča Mičov Grad, North Macedonia. …”

Visualizing interpretations of deep neural networks by Ta, Quynh Nga

“…Maximally activating image patches help users understand what patterns maximally activate a channel in a layer. Feature attribution visualisation with SmoothGrad highlights the pixels that are most influential for the model's prediction. …”
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Deep neural network technique for automated detection of ADHD and CD using ECG signal by Loh, Hui Wen, Ooi, Chui Ping, Oh, Shu Lih, Barua, Prabal Datta, Tan, Yi Ren, Molinari, Filippo, March, Sonja, Acharya, U. Rajendra, Fung, Daniel Shuen Sheng

“…Background and objective: Attention Deficit Hyperactivity problem (ADHD) is a common neurodevelopment problem in children and adolescents that can lead to long-term challenges in life outcomes if left untreated. …”
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Emergent semantic segmentation: training-free dense-label-free extraction from vision-language models by Luo, Jiayun

“…However, leveraging such pre-trained models for open-vocabulary semantic segmentation remains a challenge. In this thesis, we propose a simple, yet extremely effective, training-free technique, Plug-and-Play Open-Vocabulary Semantic Segmentation (PnP-OVSS) for this task. …”
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