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Publication search results
found 163 matches
- 2022
- Ahmed M. Alaa:
Mining for informative signals in biological sequences. Nat. Mach. Intell. 4(8): 665-666 (2022) - Yasin Almalioglu, Mehmet Turan, Niki Trigoni, Andrew Markham:
Deep learning-based robust positioning for all-weather autonomous driving. Nat. Mac. Intell. 4(9): 749-760 (2022) - Tom Altenburg, Sven H. Giese, Shengbo Wang, Thilo Muth, Bernhard Y. Renard:
Ad hoc learning of peptide fragmentation from mass spectra enables an interpretable detection of phosphorylated and cross-linked peptides. Nat. Mach. Intell. 4(4): 378-388 (2022) - Luís A. Nunes Amaral:
A cautionary tale from the machine scientist. Nat. Mach. Intell. 4(5): 416-417 (2022) - Arsam Aryandoust, Anthony Patt, Stefan Pfenninger:
Enhanced spatio-temporal electric load forecasts using less data with active deep learning. Nat. Mac. Intell. 4(11): 977-991 (2022) - Eric Bach, Emma Schymanski, Juho Rousu:
Joint structural annotation of small molecules using liquid chromatography retention order and tandem mass spectrometry data. Nat. Mac. Intell. 4(12): 1224-1237 (2022) - Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuansheng Zheng, Jianming Wang, Zhen Li, Carola Schönlieb, Tian Xia:
Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. Nat. Mach. Intell. 4(4): 413 (2022) - Thomas D. Barrett, Aleksei O. Malyshev, A. I. Lvovsky:
Autoregressive neural-network wavefunctions for ab initio quantum chemistry. Nat. Mach. Intell. 4(4): 351-358 (2022) - Alexander V. Belikov, Andrey Rzhetsky, James A. Evans:
Prediction of robust scientific facts from literature. Nat. Mach. Intell. 4(5): 445-454 (2022) - Elizabeth R. Bennewitz, Florian Hopfmueller, Bohdan Kulchytskyy, Juan Carrasquilla, Pooya Ronagh:
Neural Error Mitigation of Near-Term Quantum Simulations. Nat. Mach. Intell. 4(7): 618-624 (2022) - Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Shadi Albarqouni:
Federated disentangled representation learning for unsupervised brain anomaly detection. Nat. Mach. Intell. 4(8): 685-695 (2022) - Anthony Bilodeau, Constantin V. L. Delmas, Martin Parent, Paul De Koninck, Audrey Durand, Flavie Lavoie-Cardinal:
Microscopy analysis neural network to solve detection, enumeration and segmentation from image-level annotations. Nat. Mach. Intell. 4(5): 455-466 (2022) - Marc-Michael Blum:
No chemical killer AI (yet). Nat. Mach. Intell. 4(6): 506-507 (2022) - William J. Bolton, Cosmin Badea, Pantelis Georgiou, Alison H. Holmes, Timothy M. Rawson:
Developing moral AI to support decision-making about antimicrobial use. Nat. Mac. Intell. 4(11): 912-915 (2022) - Nima Boscarino, Reed A. Cartwright, Keolu Fox, Krystal S. Tsosie:
Federated learning and Indigenous genomic data sovereignty. Nat. Mac. Intell. 4(11): 909-911 (2022) - Cameron Buckner, Risto Miikkulainen, Stephanie Forrest, Silvia Milano, James Zou, Carina Prunk, Christopher Irrgang, I. Glenn Cohen, Hao Su, Robin R. Murphy, Russell H. Taylor, Axel Krieger, Mirko Kovac, Jathan Sadowski, Vidushi Marda:
AI reflections in 2021. Nat. Mach. Intell. 4(1): 5-10 (2022) - Yang Cao, Cher Tian Ser, Marta Skreta, Kjell Jorner, Nathanael Kusanda, Alán Aspuru-Guzik:
Reinforcement learning supercharges redox flow batteries. Nat. Mach. Intell. 4(8): 667-668 (2022) - Jie Cao, Xiaosong Zhang, Vahakn Shahinian, Huiying Yin, Diane Steffick, Rajiv Saran, Susan Crowley, Michael Mathis, Girish N. Nadkarni, Michael Heung, Karandeep Singh:
Generalizability of an acute kidney injury prediction model across health systems. Nat. Mac. Intell. 4(12): 1121-1129 (2022) - Egbert Castro, Abhinav Godavarthi, Julian Rubinfien, Kevin B. Givechian, Dhananjay Bhaskar, Smita Krishnaswamy:
Transformer-based protein generation with regularized latent space optimization. Nat. Mac. Intell. 4(10): 840-851 (2022) - Lucian Chan, Rajendra Kumar, Marcel L. Verdonk, Carl Poelking:
A multilevel generative framework with hierarchical self-contrasting for bias control and transparency in structure-based ligand design. Nat. Mac. Intell. 4(12): 1130-1142 (2022) - Mostafa Haghir Chehreghani:
Half a decade of graph convolutional networks. Nat. Mach. Intell. 4(3): 192-193 (2022) - Yu-Qin Chen, Yu Chen, Chee-Kong Lee, Shengyu Zhang, Chang-Yu Hsieh:
Optimizing quantum annealing schedules with Monte Carlo tree search enhanced with neural networks. Nat. Mach. Intell. 4(3): 269-278 (2022) - Xiaoyang Chen, Shengquan Chen, Shuang Song, Zijing Gao, Lin Hou, Xuegong Zhang, Hairong Lv, Rui Jiang:
Cell type annotation of single-cell chromatin accessibility data via supervised Bayesian embedding. Nat. Mach. Intell. 4(2): 116-126 (2022) - Shuan Chen, Yousung Jung:
A generalized-template-based graph neural network for accurate organic reactivity prediction. Nat. Mac. Intell. 4(9): 772-780 (2022) - Shuan Chen, Yousung Jung:
Author Correction: A generalized-template-based graph neural network for accurate organic reactivity prediction. Nat. Mac. Intell. 4(11): 1054 (2022) - Subham Choudhury, Michael Moret, Pierre Salvy, Daniel Weilandt, Vassily Hatzimanikatis, Ljubisa Miskovic:
Reconstructing Kinetic Models for Dynamical Studies of Metabolism using Generative Adversarial Networks. Nat. Mach. Intell. 4(8): 710-719 (2022) - Yanyi Chu, Yan Zhang, Qiankun Wang, Lingfeng Zhang, Xuhong Wang, Yanjing Wang, Dennis Russell Salahub, Qin Xu, Jianmin Wang, Xue Jiang, Yi Xiong, Dong-Qing Wei:
A transformer-based model to predict peptide-HLA class I binding and optimize mutated peptides for vaccine design. Nat. Mach. Intell. 4(3): 300-311 (2022) - Cédric Colas, Tristan Karch, Clément Moulin-Frier, Pierre-Yves Oudeyer:
Language and culture internalization for human-like autotelic AI. Nat. Mac. Intell. 4(12): 1068-1076 (2022) - Francisco J. Valero Cuevas, Andrew Erwin:
Bio-robots step towards brain-body co-adaptation. Nat. Mac. Intell. 4(9): 737-738 (2022) - Peng Cui, Susan Athey:
Stable learning establishes some common ground between causal inference and machine learning. Nat. Mach. Intell. 4(2): 110-115 (2022)
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