Zobrazeno 1 - 10
of 127 639
pro vyhledávání: '"Jb, A."'
Recent advancements in Model-Based Reinforcement Learning (MBRL) have made it a powerful tool for visual control tasks. Despite improved data efficiency, it remains challenging to train MBRL agents with generalizable perception. Training in the prese
Externí odkaz:
http://arxiv.org/abs/2410.09972
Autor:
Kim, Kyungmin, Corsi, Davide, Rodriguez, Andoni, Lanier, JB, Parellada, Benjami, Baldi, Pierre, Sanchez, Cesar, Fox, Roy
While Deep Reinforcement Learning (DRL) has achieved remarkable success across various domains, it remains vulnerable to occasional catastrophic failures without additional safeguards. One effective solution to prevent these failures is to use a shie
Externí odkaz:
http://arxiv.org/abs/2410.02038
Autor:
Hemforth, Lisa, Couvy-Duchesne, Baptiste, De Matos, Kevin, Brianceau, Camille, Joulot, Matthieu, Banaschewski, Tobias, Bokde, Arun L. W., Desrivières, Sylvane, Flor, Herta, Grigis, Antoine, Garavan, Hugh, Gowland, Penny, Heinz, Andreas, Brühl, Rüdiger, Martinot, Jean-Luc, Martinot, Marie-Laure Paillère, Artiges, Eric, Papadopoulos, Dimitri, Lemaitre, Herve, Paus, Tomas, Poustka, Luise, Hohmann, Sarah, Holz, Nathalie, Fröhner, Juliane H., Smolka, Michael N., Vaidya, Nilakshi, Walter, Henrik, Whelan, Robert, Schumann, Gunter, Büchel, Christian, Poline, JB, Itterman, Bernd, Frouin, Vincent, Martin, Alexandre, group, IMAGEN study, Cury, Claire, Colliot, Olivier
Publikováno v:
Machine.Learning.for.Biomedical.Imaging. 2 (2024)
Incomplete Hippocampal Inversion (IHI), sometimes called hippocampal malrotation, is an atypical anatomical pattern of the hippocampus found in about 20% of the general population. IHI can be visually assessed on coronal slices of T1 weighted MR imag
Externí odkaz:
http://arxiv.org/abs/2408.02496
In this study, we explore the impact of different masking strategies on time series imputation models. We evaluate the effects of pre-masking versus in-mini-batch masking, normalization timing, and the choice between augmenting and overlaying artific
Externí odkaz:
http://arxiv.org/abs/2405.17508
Autor:
Qian, Linglong, Raj, Joseph Arul, Ellis, Hugh Logan, Zhang, Ao, Zhang, Yuezhou, Wang, Tao, Dobson, Richard JB, Ibrahim, Zina
We present an end-to-end architecture for managing complex missingness in multivariate time series derived from hospital electronic health records (EHRs). Our Conditional Self-Attention Imputation (CSAI) is a recurrent neural network architecture equ
Externí odkaz:
http://arxiv.org/abs/2312.16713
Autor:
Zhang, Yuezhou, Folarin, Amos A, Sun, Shaoxiong, Cummins, Nicholas, Ranjan, Yatharth, Rashid, Zulqarnain, Stewart, Callum, Conde, Pauline, Sankesara, Heet, Laiou, Petroula, Matcham, Faith, White, Katie M, Oetzmann, Carolin, Lamers, Femke, Siddi, Sara, Simblett, Sara, Vairavan, Srinivasan, Myin-Germeys, Inez, Mohr, David C., Wykes, Til, Haro, Josep Maria, Annas, Peter, Penninx, Brenda WJH, Narayan, Vaibhav A, Hotopf, Matthew, Dobson, Richard JB, consortium, RADAR-CNS
Objective: This study aimed to explore the associations between depression severity and wearable-measured circadian rhythms, accounting for seasonal impacts and quantifying seasonal changes in circadian rhythms.Materials and Methods: Data used in thi
Externí odkaz:
http://arxiv.org/abs/2312.02953
Solving math word problems depends on how to articulate the problems, the lens through which models view human linguistic expressions. Real-world settings count on such a method even more due to the diverse practices of the same mathematical operatio
Externí odkaz:
http://arxiv.org/abs/2311.01036
Relational Database Management Systems designed for Online Analytical Processing (RDBMS-OLAP) have been foundational to democratizing data and enabling analytical use cases such as business intelligence and reporting for many years. However, RDBMS-OL
Externí odkaz:
http://arxiv.org/abs/2310.08697
Autor:
Zhang, Yuezhou, Folarin, Amos A, Dineley, Judith, Conde, Pauline, de Angel, Valeria, Sun, Shaoxiong, Ranjan, Yatharth, Rashid, Zulqarnain, Stewart, Callum, Laiou, Petroula, Sankesara, Heet, Qian, Linglong, Matcham, Faith, White, Katie M, Oetzmann, Carolin, Lamers, Femke, Siddi, Sara, Simblett, Sara, Schuller, Björn W., Vairavan, Srinivasan, Wykes, Til, Haro, Josep Maria, Penninx, Brenda WJH, Narayan, Vaibhav A, Hotopf, Matthew, Dobson, Richard JB, Cummins, Nicholas, consortium, RADAR-CNS
Language use has been shown to correlate with depression, but large-scale validation is needed. Traditional methods like clinic studies are expensive. So, natural language processing has been employed on social media to predict depression, but limita
Externí odkaz:
http://arxiv.org/abs/2308.11773
Autor:
Rashid, Zulqarnain, Folarin, Amos A, Ranjan, Yatharth, Conde, Pauline, Sankesara, Heet, Zhang, Yuezhou, Sun, Shaoxiong, Stewart, Callum, Laiou, Petroula, Dobson, Richard JB
Digital Biomarkers and remote patient monitoring can provide valuable and timely insights into how a patient is coping with their condition (disease progression, treatment response, etc.), complementing treatment in traditional healthcare settings.Sm
Externí odkaz:
http://arxiv.org/abs/2308.02043