日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

REST, Exploring Sleep Patterns and Influencing Factors in Elite Female Football Athletes

休息:探索精英女足球运动员的睡眠模式及其影响因素

Boeker, Matthias; Alexandersen, Andreas; Thambawita, Vajira; Midoglu, Cise; Johansen, Dag; Riegler, Michael A; Halvorsen, Pål

Investigating discrepancies in accuracy, agreement and interpretability for single-frame embryo classification tasks conducted by embryologists and deep learning models

调查胚胎学家和深度学习模型在单帧胚胎分类任务中的准确性、一致性和可解释性方面的差异

Kakulavarapu, Radhika; Delbarre, Erwan; Sharma, Akriti; Jahanlu, David; Riegler, Michael A; Haugen, Trine B; Iliceto, Mario; Stensen, Mette H

Transforming Healthcare: Intelligent Wearable Sensors Empowered by Smart Materials and Artificial Intelligence

变革医疗保健:智能材料和人工智能赋能的智能可穿戴传感器

Chen, Shuwen; Fan, Shicheng; Qiao, Zheng; Wu, Zixiong; Lin, Baobao; Li, Zhijie; Riegler, Michael A; Wong, Matthew Yu Heng; Opheim, Arve; Korostynska, Olga; Nielsen, Kaare Magne; Glott, Thomas; Martinsen, Anne Catrine T; Telle-Hansen, Vibeke H; Lim, Chwee Teck

OBF-Psychiatric, a motor activity dataset of patients diagnosed with major depression, schizophrenia, and ADHD

OBF-Psychiatric 是一个包含被诊断患有重度抑郁症、精神分裂症和注意力缺陷多动障碍 (ADHD) 患者的运动活动数据集。

Garcia-Ceja, Enrique; Stautland, Andrea; Riegler, Michael A; Halvorsen, Pål; Hinojosa, Salvador; Ochoa-Ruiz, Gilberto; Berle, Jan O; Førland, Wenche; Mjeldheim, Kristin; Oedegaard, Ketil Joachim; Jakobsen, Petter

Using large language models to suggest informative prior distributions in Bayesian regression analysis

在贝叶斯回归分析中使用大型语言模型来建议信息丰富的先验分布

Riegler, Michael A; Hellton, Kristoffer H; Thambawita, Vajira; Hammer, Hugo L

Impact of decoding strategies on GPU energy usage in large language model text generation

解码策略对大型语言模型文本生成中GPU能耗的影响

Nik, Alireza; Riegler, Michael A; Halvorsen, Pål

Stress management with HRV following AI, semantic ontology, genetic algorithm and tree explainer

基于人工智能、语义本体论、遗传算法和树状解释器的心率变异性压力管理

Chatterjee, Ayan; Riegler, Michael A; Ganesh, K; Halvorsen, Pål

Merging synthetic and real embryo data for advanced AI predictions

将合成胚胎数据与真实胚胎数据融合,用于高级人工智能预测

Presacan, Oriana; Dorobanţiu, Alexandru; Thambawita, Vajira; Riegler, Michael A; Stensen, Mette H; Iliceto, Mario; Aldea, Alexandru C; Sharma, Akriti

Exploring the clinical value of concept-based AI explanations in gastrointestinal disease detection

探索基于概念的人工智能解释在胃肠道疾病检测中的临床价值

Storås, Andrea M; Dreyer, Maximilian; Pahde, Frederik; Lapuschkin, Sebastian; Samek, Wojciech; Halvorsen, Pål; de Lange, Thomas; Mori, Yuichi; Hann, Alexander; Berzin, Tyler M; Parasa, Sravanthi; Riegler, Michael A

Deep learning methods to forecasting human embryo development in time-lapse videos

利用深度学习方法预测延时视频中的人类胚胎发育

Sharma, Akriti; Dorobantiu, Alexandru; Ali, Saquib; Iliceto, Mario; Stensen, Mette H; Delbarre, Erwan; Riegler, Michael A; Hammer, Hugo L