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Publication search results
found 181 matches
- 2022
- Kendra Albert, Maggie K. Delano:
Sex trouble: Sex/gender slippage, sex confusion, and sex obsession in machine learning using electronic health records. Patterns 3(8): 100534 (2022) - Abdullahi Ali, Nasir Ahmad, Elgar de Groot, Marcel A. J. van Gerven, Tim Christian Kietzmann:
Predictive coding is a consequence of energy efficiency in recurrent neural networks. Patterns 3(12): 100639 (2022) - Matthew Amodio, Scott E. Youlten, Aarthi Venkat, Beatriz P. San Juan, Christine L. Chaffer, Smita Krishnaswamy:
Single-cell multi-modal GAN reveals spatial patterns in single-cell data from triple-negative breast cancer. Patterns 3(9): 100577 (2022) - Yash Amonkar, David J. Farnham, Upmanu Lall:
A k-nearest neighbor space-time simulator with applications to large-scale wind and solar power modeling. Patterns 3(3): 100454 (2022) - Meelad Amouzgar, David R. Glass, Reema Baskar, Inna Averbukh, Samuel C. Kimmey, Albert G. Tsai, Felix J. Hartmann, Sean Bendall:
Supervised dimensionality reduction for exploration of single-cell data by HSS-LDA. Patterns 3(8): 100536 (2022) - Shahab Bakhtiari:
Energy efficiency as a normative account for predictive coding. Patterns 3(12): 100661 (2022) - Soumya Banerjee, Phil Alsop, Linda Jones, Rudolf N. Cardinal:
Patient and public involvement to build trust in artificial intelligence: A framework, tools, and case studies. Patterns 3(6): 100506 (2022) - Anahid Basiri, Chris Brunsdon:
Missing data as data. Patterns 3(9): 100587 (2022) - Francine Berman, Emilia Cabrera, Ali Jebari, Wassim Marrakchi:
The impact universe - a framework for prioritizing the public interest in the Internet of Things. Patterns 3(1): 100398 (2022) - Ilayda Beyreli, Oguzhan Karakahya, A. Ercüment Çiçek:
DeepND: Deep multitask learning of gene risk for comorbid neurodevelopmental disorders. Patterns 3(7): 100524 (2022) - Xin Bing, Tyler Lovelace, Florentina Bunea, Marten H. Wegkamp, Sudhir Pai Kasturi, Harinder Singh, Panayiotis V. Benos, Jishnu Das:
Essential Regression: A generalizable framework for inferring causal latent factors from multi-omic datasets. Patterns 3(5): 100473 (2022) - Martin-Immanuel Bittner, Sahar Farajnia:
AI in drug discovery: Applications, opportunities, and challenges. Patterns 3(6): 100529 (2022) - Laura Boeschoten, Adriënne Mendrik, Emiel van der Veen, Jeroen Vloothuis, Haili Hu, Roos Voorvaart, Daniel L. Oberski:
Privacy-preserving local analysis of digital trace data: A proof-of-concept. Patterns 3(3): 100444 (2022) - Matthias Braun, Patrik Hummel:
Data justice and data solidarity. Patterns 3(3): 100427 (2022) - Matthias Braun, Jenny Krutzinna:
Digital twins and the ethics of health decision-making concerning children. Patterns 3(4): 100469 (2022) - James F. Campbell:
Will drones revolutionize home delivery? Let's get real... Patterns 3(8): 100564 (2022) - Nina H. Di Cara, Natalie Zelenka, Huw Day, Euan D. S. Bennet, Vanessa Hanschke, Valerio Maggio, Ola Aleksandra Michalec, Charles Radclyffe, Roman Shkunov, Emma Tonkin, Zoë Turner, Kamilla Wells:
Data Ethics Club: Creating a collaborative space to discuss data ethics. Patterns 3(7): 100537 (2022) - Rui B. Chang:
A journey toward artificial intelligence-assisted automated sleep scoring. Patterns 3(1): 100429 (2022) - Joyjit Chatterjee, Nina Dethlefs:
Facilitating a smoother transition to renewable energy with AI. Patterns 3(6): 100528 (2022) - Zhe S. Chen, Prathamesh Kulkarni, Isaac R. Galatzer-Levy, Benedetta Bigio, Carla Nasca, Yu Zhang:
Modern views of machine learning for precision psychiatry. Patterns 3(11): 100602 (2022) - Liuyin Chen, Haoyang Qi, Di Lu, Jianxue Zhai, Kaican Cai, Long Wang, Guoyuan Liang, Zijun Zhang:
Machine vision-assisted identification of the lung adenocarcinoma category and high-risk tumor area based on CT images. Patterns 3(4): 100464 (2022) - Hu Chen, Che Sun, Peixi Liao, Yancun Lai, Fei Fan, Yi Lin, Zhenhua Deng, Yi Zhang:
A fine-grained network for human identification using panoramic dental images. Patterns 3(5): 100485 (2022) - Yoonjoo Choi:
Artificial intelligence for antibody reading comprehension: AntiBERTa. Patterns 3(7): 100535 (2022) - Paul Chong, Byung-Jun Yoon, Debbie Lai, Michael Carlson, Jarone Lee, Shuhan He:
Looking back on forward-looking COVID models. Patterns 3(7): 100492 (2022) - Debora Irene Christine, Mamello Thinyane:
Citizen science as a data-based practice: A consideration of data justice. Patterns 3(8): 100575 (2022) - Griffin Chure, Rachel A. Banks, Avi I. Flamholz, Nicholas S. Sarai, Mason Kamb, Ignacio Lopez-Gomez, Yinon Bar-On, Ron Milo, Rob Phillips:
Anthroponumbers.org: A quantitative database of human impacts on Planet Earth. Patterns 3(9): 100552 (2022) - Austin Clyde:
AI for science and global citizens. Patterns 3(2): 100446 (2022) - Erin Connelly, Christina Lee, Jessica Furner-Pardoe, Charo I. Del Genio, Freya Harrison:
A case study of the Ancientbiotics collaboration. Patterns 3(12): 100632 (2022) - Henry Cope, Craig R. G. Willis, Matthew J. MacKay, Lindsay Rutter, Li Shean Toh, Philip M. Williams, Raúl Herranz, Joseph Borg, Daniela Bezdan, Stefania Giacomello, Masafumi Muratani, Christopher E. Mason, Timothy Etheridge, Nathaniel J. Szewczyk:
Routine omics collection is a golden opportunity for European human research in space and analog environments. Patterns 3(10): 100550 (2022) - Steve Cranford:
Navigating the "Kessel Run" of digital materials acceleration. Patterns 3(11): 100638 (2022)
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