External Links

    Journal: Nat. Mach. Intell.

    Volume 3, Issue 9

    737 -- 0. The big question
    738 -- 739Kerstin N. Vokinger, Urs Gasser. Regulating AI in medicine in the United States and Europe
    740 -- 741Nabil Imam. Wiring up recurrent neural networks
    742 -- 743Charlotte Frenkel. Sparsity provides a competitive advantage
    744 -- 748Marcello Ienca, Effy Vayena. Ethical requirements for responsible research with hacked data
    749 -- 758Dmitrii Usynin, Alexander Ziller, Marcus R. Makowski, Rickmer Braren, Daniel Rueckert, Ben Glocker, Georgios Kaissis, Jonathan Passerat-Palmbach. Adversarial interference and its mitigations in privacy-preserving collaborative machine learning
    759 -- 770Michael A. Skinnider, R. Greg Stacey, David S. Wishart, Leonard J. Foster. Chemical language models enable navigation in sparsely populated chemical space
    771 -- 786Laura E. Suárez, Blake A. Richards, Guillaume Lajoie, Bratislav Misic. Learning function from structure in neuromorphic networks
    787 -- 798Jia Wu, Chao Li 0031, Michael Gensheimer, Sukhmani Padda, Fumi Kato, Hiroki Shirato, Yiran Wei 0002, Carola-Bibiane Schönlieb, Stephen John Price, David Jaffray, John V. Heymach, Joel W. Neal, Billy W. Loo, Heather Wakelee, Maximilian Diehn, Ruijiang Li. Radiological tumour classification across imaging modality and histology
    799 -- 811Alvaro Gomariz 0001, Tiziano Portenier, Patrick M. Helbling, Stephan Isringhausen, Ute Suessbier, César Nombela-Arrieta, Orcun Goksel. Modality attention and sampling enables deep learning with heterogeneous marker combinations in fluorescence microscopy
    812 -- 822Di Chen 0001, Yiwei Bai, Sebastian Ament, Wenting Zhao 0002, Dan Guevarra, Lan Zhou, Bart Selman, R. Bruce van Dover, John M. Gregoire, Carla P. Gomes. Automating crystal-structure phase mapping by combining deep learning with constraint reasoning
    823 -- 835Julian Göltz, Laura Kriener, Andreas Baumbach, Sebastian Billaudelle, Oliver Breitwieser, Benjamin Cramer, Dominik Dold, Ákos F. Kungl, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici. Fast and energy-efficient neuromorphic deep learning with first-spike times

    Volume 3, Issue 8

    653 -- 0. Striving for health equity with machine learning
    654 -- 655Ashley Nunes, Kay W. Axhausen. Road safety, health inequity and the imminence of autonomous vehicles
    656 -- 657David Rousseau. Resource-efficient inference for particle physics
    658 -- 0David C. Parkes. Playing with symmetry with neural networks
    659 -- 666Vishwali Mhasawade, Yuan Zhao, Rumi Chunara. Machine learning and algorithmic fairness in public and population health
    667 -- 674Christopher Irrgang, Niklas Boers, Maike Sonnewald, Elizabeth A. Barnes, Christopher Kadow, Joanna Staneva, Jan Saynisch-Wagner. Towards neural Earth system modelling by integrating artificial intelligence in Earth system science
    675 -- 686Claudionor N. Coelho Jr., Aki Kuusela, Shan Li, Hao Zhuang, Jennifer Ngadiuba, Thea Klaeboe Aarrestad, Vladimir Loncar, Maurizio Pierini, Adrian Alan Pol, Sioni Summers. Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors
    687 -- 695Martin Bichler, Maximilian Fichtl, Stefan Heidekrüger, Nils Kohring, Paul Sutterer. Learning equilibria in symmetric auction games using artificial neural networks
    696 -- 704James Lu, Brendan Bender, Jin Y. Jin, Yuanfang Guan. Deep learning prediction of patient response time course from early data via neural-pharmacokinetic/pharmacodynamic modelling
    705 -- 715Lukas M. Simon, Yin-Ying Wang, Zhongming Zhao. Integration of millions of transcriptomes using batch-aware triplet neural networks
    716 -- 726Ahmed M. Alaa, Deepti Gurdasani, Adrian L. Harris, Jem Rashbass, Mihaela van der Schaar. Machine learning to guide the use of adjuvant therapies for breast cancer
    727 -- 734Marie Weiel, Markus Götz, André Klein, Daniel Coquelin, Ralf Floca, Alexander Schug. Dynamic particle swarm optimization of biomolecular simulation parameters with flexible objective functions
    735 -- 736Jungkyu Park 0001, Yoel Shoshan, Robert Martí, Pablo Gómez del Campo, Vadim Ratner, Daniel Khapun, Aviad Zlotnick, Ella Barkan, Flora Gilboa-Solomon, Jakub Chledowski, Jan Witowski, Alexandra Millet, Eric Kim, Alana Lewin, Kristine Pysarenko, Sardius Chen, Julia Goldberg, Shalin Patel, Anastasia Plaunova, Melanie Wegener, Stacey Wolfson, Jiyon Lee, Sana Hava, Sindhoora Murthy, Linda Du, Sushma Gaddam, Ujas Parikh, Laura Heacock, Linda Moy, Beatriu Reig, Michal Rosen-Zvi, Krzysztof J. Geras. Lessons from the first DBTex Challenge

    Volume 3, Issue 7

    555 -- 0. AI on the beach
    556 -- 565Zachary S. Ballard, Calvin Brown, Asad M. Madni, Aydogan Ozcan. Machine learning and computation-enabled intelligent sensor design
    566 -- 571Gregory Falco, Ben Shneiderman, Julia Badger, Ryan Carrier, Anton Dahbura, David Danks, Martin Eling, Alwyn Goodloe, Jerry Gupta, Christopher Hart, Marina Jirotka, Henric Johnson, Cara Lapointe, Ashley J. Llorens, Alan K. Mackworth, Carsten Maple, Sigurður Emil Pálsson, Frank Pasquale, Alan F. T. Winfield, Zee Kin Yeong. Governing AI safety through independent audits
    572 -- 575Jon Paul Janet, Anna Tomberg, Jonas Boström. Reusability report: Learning the language of synthetic methods used in medicinal chemistry
    590 -- 600Yijun Bao, Somayyeh Soltanian-Zadeh, Sina Farsiu, Yiyang Gong. Segmentation of neurons from fluorescence calcium recordings beyond real time
    601 -- 609Jinbo Xu, Matthew McPartlon, Jin Li. Improved protein structure prediction by deep learning irrespective of co-evolution information
    610 -- 619Alex J. DeGrave, Joseph D. Janizek, Su-In Lee. AI for radiographic COVID-19 detection selects shortcuts over signal
    620 -- 631Gabriel G. Erion, Joseph D. Janizek, Pascal Sturmfels, Scott M. Lundberg, Su-In Lee. Improving performance of deep learning models with axiomatic attribution priors and expected gradients
    632 -- 640Brodie Fischbacher, Sarita Hedaya, Brigham J. Hartley, Zhongwei Wang, Gregory Lallos, Dillion Hutson, Matthew Zimmer, Jacob Brammer, Daniel Paull. Modular deep learning enables automated identification of monoclonal cell lines
    641 -- 651Christian Lagemann, Kai Lagemann, Sach Mukherjee, Wolfgang Schröder 0001. Deep recurrent optical flow learning for particle image velocimetry data
    652 -- 0Ania Korsunska, David C. Fajgenbaum. Publisher Correction: Back to the future with machine learning

    Volume 3, Issue 6

    459 -- 0. Collaborative learning without sharing data
    460 -- 0Supriya Kapur. Reducing racial bias in AI models for clinical use requires a top-down intervention
    461 -- 463Abubakar Abid, Maheen Farooqi, James Zou 0001. Large language models associate Muslims with violence
    464 -- 465Ania Korsunska, David C. Fajgenbaum. Back to the future with machine learning
    466 -- 472Silvia Milano, Brent D. Mittelstadt 0002, Sandra Wachter, Christopher Russell 0001. Epistemic fragmentation poses a threat to the governance of online targeting
    473 -- 484Georgios Kaissis, Alexander Ziller, Jonathan Passerat-Palmbach, Théo Ryffel, Dmitrii Usynin, Andrew Trask, Ionésio Lima, Jason Mancuso, Friederike Jungmann, Marc-Matthias Steinborn, Andreas Saleh, Marcus R. Makowski, Daniel Rueckert, Rickmer Braren. End-to-end privacy preserving deep learning on multi-institutional medical imaging
    485 -- 494Alessandra Toniato, Philippe Schwaller, Antonio Cardinale, Joppe Geluykens, Teodoro Laino. Unassisted noise reduction of chemical reaction datasets
    495 -- 506Biagio Brattoli, Uta Büchler, Michael Dorkenwald, Philipp Reiser, Linard Filli, Fritjof Helmchen, Anna-Sophia Wahl, Björn Ommer. Unsupervised behaviour analysis and magnification (uBAM) using deep learning
    507 -- 512Xiaoyan Yin, Rolf Müller. Integration of deep learning and soft robotics for a biomimetic approach to nonlinear sensing
    513 -- 526Roman Schulte-Sasse, Stefan Budach, Denes Hnisz, Annalisa Marsico. Integration of multiomics data with graph convolutional networks to identify new cancer genes and their associated molecular mechanisms
    527 -- 535Govinda B. Kc, Giovanni Bocci, Srijan Verma, Md Mahmudulla Hassan, Jayme Holmes, Jeremy J. Yang, Suman Sirimulla, Tudor I. Oprea. A machine learning platform to estimate anti-SARS-CoV-2 activities
    536 -- 544Qiao Liu, Shengquan Chen, Rui Jiang 0001, Wing Hung Wong. Simultaneous deep generative modelling and clustering of single-cell genomic data
    545 -- 554Enrica Soria, Fabrizio Schiano, Dario Floreano. Predictive control of aerial swarms in cluttered environments

    Volume 3, Issue 5

    367 -- 0. How to be responsible in AI publication
    368 -- 369Eduard Fosch Villaronga, Pranav Khanna, Hadassah Drukarch, Bart H. M. Custers. A human in the loop in surgery automation
    370 -- 371Liesbeth Venema. Defining a role for AI ethics in national security
    372 -- 373Yi Zhang 0055, Yang Liu, X. Shirley Liu. Neural network architecture search with AMBER
    374 -- 375Shangying Wang, Simone Bianco 0002. Linking the length scales
    376 -- 377Marta R. Costa-Jussà. Towards universal translation
    378 -- 386Partha P. Mitra. Fitting elephants in modern machine learning by statistically consistent interpolation
    387 -- 391Ugur Tegin, Niyazi Ulas Dinç, Christophe Moser, Demetri Psaltis. Reusability report: Predicting spatiotemporal nonlinear dynamics in multimode fibre optics with a recurrent neural network
    392 -- 400Zijun Zhang, Christopher Y. Park, Chandra L. Theesfeld, Olga G. Troyanskaya. An automated framework for efficiently designing deep convolutional neural networks in genomics
    401 -- 409Harsh Bhatia, Timothy S. Carpenter, Helgi I. Ingólfsson, Gautham Dharuman, Piyush Karande, Shusen Liu, Tomas Oppelstrup, Chris Neale, Felice C. Lightstone, Brian Van Essen, James N. Glosli, Peer-Timo Bremer. Machine-learning-based dynamic-importance sampling for adaptive multiscale simulations
    410 -- 419Tønnes F. Nygaard, Charles P. Martin, Jim Tørresen, Kyrre Glette, David Howard. Real-world embodied AI through a morphologically adaptive quadruped robot
    420 -- 425Rui Qiao 0001, Ngoc Hieu Tran, Lei Xin, Xin Chen, Ming Li 0001, Baozhen Shan, Ali Ghodsi 0001. Computationally instrument-resolution-independent de novo peptide sequencing for high-resolution devices
    426 -- 433Zixuan Song, Jun Li 0052. Variable selection with false discovery rate control in deep neural networks
    434 -- 446Takuya Isomura, Taro Toyoizumi. Dimensionality reduction to maximize prediction generalization capability
    447 -- 456Darius Roman, Saurabh Saxena, Valentin Robu, Michael G. Pecht, David Flynn. Machine learning pipeline for battery state-of-health estimation
    457 -- 0Takuya Isomura, Taro Toyoizumi. Publisher Correction: Dimensionality reduction to maximize prediction generalization capability

    Volume 3, Issue 4

    275 -- 0. People have the AI power
    276 -- 0Ross D. King, Oghenejokpeme I. Orhobor, Charles C. Taylor. Cross-validation is safe to use
    277 -- 278Alejandro A. Franco. Escape from flatland
    279 -- 280Rohit Bhargava, Kianoush Falahkheirkhah. Enhancing hyperspectral imaging
    281 -- 282Daniel J. Gauthier, Ingo Fischer. Predicting hidden structure in dynamical systems
    283 -- 287Boris Babic, Sara Gerke, Theodoros Evgeniou, I. Glenn Cohen. Direct-to-consumer medical machine learning and artificial intelligence applications
    288 -- 298Edward Korot, Zeyu Guan, Daniel Ferraz, Siegfried K. Wagner, Gongyu Zhang, Xiaoxuan Liu, Livia Faes, Nikolas Pontikos, Samuel G. Finlayson, Hagar Khalid, Gabriella Moraes, Konstantinos Balaskas, Alastair K. Denniston, Pearse A. Keane. Code-free deep learning for multi-modality medical image classification
    299 -- 305Steve Kench, Samuel J. Cooper. Generating three-dimensional structures from a two-dimensional slice with generative adversarial network-based dimensionality expansion
    306 -- 315Bryce Manifold, Shuaiqian Men, Ruoqian Hu, Dan Fu. A versatile deep learning architecture for classification and label-free prediction of hyperspectral images
    316 -- 323Jason Z. Kim, Zhixin Lu, Erfan Nozari, George J. Pappas, Danielle S. Bassett. Teaching recurrent neural networks to infer global temporal structure from local examples
    324 -- 333Donatas Repecka, Vykintas Jauniskis, Laurynas Karpus, Elzbieta Rembeza, Irmantas Rokaitis, Jan Zrimec, Simona Poviloniene, Audrius Laurynenas, Sandra Viknander, Wissam Abuajwa, Otto Savolainen, Rolandas Meskys, Martin K. M. Engqvist, Aleksej Zelezniak. Expanding functional protein sequence spaces using generative adversarial networks
    334 -- 343Wan Xiang Shen, Xian Zeng, Feng Zhu 0004, Ya-Li Wang, Chu Qin, Ying Tan, Yu Yang Jiang, Yu Zong Chen. Out-of-the-box deep learning prediction of pharmaceutical properties by broadly learned knowledge-based molecular representations
    344 -- 354Lauri Salmela, Nikolaos Tsipinakis, Alessandro Foi, Cyril Billet, John M. Dudley, Goëry Genty. Predicting ultrafast nonlinear dynamics in fibre optics with a recurrent neural network
    355 -- 366Alexander Binder, Michael Bockmayr, Miriam Hägele, Stephan Wienert, Daniel Heim, Katharina Hellweg, Masaru Ishii, Albrecht Stenzinger, Andreas Hocke, Carsten Denkert, Klaus-Robert Müller, Frederick Klauschen. Morphological and molecular breast cancer profiling through explainable machine learning

    Volume 3, Issue 3

    183 -- 0. AI, COVID-19 and the long haul
    184 -- 186Hao Su, Antonio Di Lallo, Robin R. Murphy, Russell H. Taylor, Brian T. Garibaldi, Axel Krieger. Physical human-robot interaction for clinical care in infectious environments
    187 -- 189Vidushi Marda, Shivangi Narayan. On the importance of ethnographic methods in AI research
    190 -- 191Laurel H. Carney. Speeding up machine hearing
    192 -- 193Irina Higgins. Generalizing universal function approximators
    194 -- 195Tara J. Hamilton. The best of both worlds
    196 -- 0Noorul Amin, Annette McGrath, Yi-Ping Phoebe Chen. Reply to: LncADeep performance on full-length transcripts
    197 -- 198Cheng Yang 0001, Man Zhou, Haoling Xie, Huaiqiu Zhu. LncADeep performance on full-length transcripts
    199 -- 217Michael Roberts, Derek Driggs, Matthew Thorpe, Julian D. Gilbey, Michael Yeung, Stephan Ursprung, Angelica I. Avilés-Rivero, Christian Etmann, Cathal McCague, Lucian Beer, Jonathan R. Weir-McCall, Zhongzhao Teng, Effrossyni Gkrania-Klotsas, James H. F. Rudd, Evis Sala, Carola-Bibiane Schönlieb. Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
    218 -- 229Lu Lu 0010, Pengzhan Jin, Guofei Pang, Zhongqiang Zhang, George Em Karniadakis. Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators
    230 -- 238Christoph Stöckl, Wolfgang Maass 0001. Optimized spiking neurons can classify images with high accuracy through temporal coding with two spikes
    239 -- 246Itai Orr, Moshik Cohen, Zeev Zalevsky. High-resolution radar road segmentation using weakly supervised learning
    247 -- 257Thai-Hoang Pham, Yue Qiu, Jucheng Zeng, Lei Xie, Ping Zhang. A deep learning framework for high-throughput mechanism-driven phenotype compound screening and its application to COVID-19 drug repurposing
    258 -- 266Peter K. Koo, Matt Ploenzke. Improving representations of genomic sequence motifs in convolutional networks with exponential activations
    267 -- 274Yoseob Han, Jaeduck Jang, Eunju Cha, Junho Lee, Hyungjin Chung, Myoungho Jeong, Tae Gon Kim, Byeong Gyu Chae, Hee Goo Kim, Shinae Jun, SungWoo Hwang, Eunha Lee, Jong Chul Ye. Deep learning STEM-EDX tomography of nanocrystals

    Volume 3, Issue 2

    101 -- 0. Listen to this
    102 -- 103Jonas Boström. Transformers for future medicinal chemists
    104 -- 110Carina E. A. Prunkl, Carolyn Ashurst, Markus Anderljung, Helena Webb, Jan Leike, Allan Dafoe. Institutionalizing ethics in AI through broader impact requirements
    111 -- 115Josh Cowls, Andreas Tsamados, Mariarosaria Taddeo, Luciano Floridi. A definition, benchmark and database of AI for social good initiatives
    116 -- 124Daniel Ahmed, Alexander Sukhov, David Hauri, Dubon Rodrigue, Gian Maranta, Jens Harting, Bradley J. Nelson. Bioinspired acousto-magnetic microswarm robots with upstream motility
    125 -- 133Rens van de Schoot, Jonathan de Bruin, Raoul Schram, Parisa Zahedi, Jan de Boer, Felix Weijdema, Bianca Kramer, Martijn Huijts, Maarten Hoogerwerf, Gerbrich Ferdinands, Albert Harkema, Joukje Willemsen, Yongchao Ma, Qixiang Fang, Sybren Hindriks, Lars Tummers, Daniel L. Oberski. An open source machine learning framework for efficient and transparent systematic reviews
    134 -- 143Deepak Baby, Arthur Van Den Broucke, Sarah Verhulst. A convolutional neural-network model of human cochlear mechanics and filter tuning for real-time applications
    144 -- 152Philippe Schwaller, Daniel Probst, Alain C. Vaucher, Vishnu H. Nair, David Kreutter, Teodoro Laino, Jean-Louis Reymond. Mapping the space of chemical reactions using attention-based neural networks
    153 -- 160Shigeyuki Matsumoto, Shoichi Ishida, Mitsugu Araki, Takayuki Kato, Kei Terayama, Yasushi Okuno. Extraction of protein dynamics information from cryo-EM maps using deep learning
    161 -- 171Zhengyang Wang, Yaochen Xie, Shuiwang Ji. Global voxel transformer networks for augmented microscopy
    172 -- 180An Zheng, Michael Lamkin, Hanqing Zhao, Cynthia Wu, Hao Su, Melissa Gymrek. Deep neural networks identify sequence context features predictive of transcription factor binding
    181 -- 0Siyuan Liu, Kim-Han Thung, Liangqiong Qu, Weili Lin, Dinggang Shen, Pew-Thian Yap. Publisher Correction: Learning MRI artefact removal with unpaired data
    182 -- 0Itai Orr, Moshik Cohen, Zeev Zalevsky. Author Correction: High-resolution radar road segmentation using weakly supervised learning

    Volume 3, Issue 12

    1007 -- 0. A new age for content filters
    1008 -- 1010Simon Mayer, Klaus Fuchs, Dominic Brügger, Jie Lian, Andrei Ciortea. Improving customer decisions in web-based e-commerce through guerrilla modding
    1011 -- 1012Yingying Zhang, Shayne D. Wierbowski, Haiyuan Yu. Combining views for newly sequenced organisms
    1013 -- 1022Pat Pataranutaporn, Valdemar Danry, Joanne Leong, Parinya Punpongsanon, Dan Novy, Pattie Maes, Misha Sra. AI-generated characters for supporting personalized learning and well-being
    1023 -- 1032Kenneth Atz, Francesca Grisoni, Gisbert Schneider. Geometric deep learning on molecular representations
    1033 -- 1039Oscar Méndez-Lucio, Mazen Ahmad, Ehecatl Antonio del Rio-Chanona, Jörg Kurt Wegner. A geometric deep learning approach to predict binding conformations of bioactive molecules
    1040 -- 1049Ziqi Chen, Martin Renqiang Min, Srinivasan Parthasarathy 0001, Xia Ning. A deep generative model for molecule optimization via one fragment modification
    1050 -- 1060Mateo Torres, Haixuan Yang, Alfonso E. Romero, Alberto Paccanaro. Protein function prediction for newly sequenced organisms
    1061 -- 1070Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y. Lo, Cynthia Rudin. A case-based interpretable deep learning model for classification of mass lesions in digital mammography
    1071 -- 1080Arif Ahmed Sekh, Ida Sundvor Opstad, Gustav Godtliebsen, Åsa Birna Birgisdottir, Balpreet Singh Ahluwalia, Krishna Agarwal, Dilip K. Prasad. Physics-based machine learning for subcellular segmentation in living cells
    1081 -- 1089Xiang 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. Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence

    Volume 3, Issue 11

    925 -- 0. Optimizing the synergy between physics and machine learning
    926 -- 0Ricardo Vinuesa, Beril Sirmaçek. Interpretable deep-learning models to help achieve the Sustainable Development Goals
    927 -- 928Michele Colledanchise. Address behaviour vulnerabilities in the next generation of autonomous robots
    929 -- 935Rohan Shad, John P. Cunningham, Euan A. Ashley, Curtis P. Langlotz, William Hiesinger. Designing clinically translatable artificial intelligence systems for high-dimensional medical imaging
    936 -- 944Milena Pavlovic, Lonneke Scheffer, Keshav Motwani, Chakravarthi Kanduri, Radmila Kompova, Nikolay Vazov, Knut Waagan, Fabian L. M. Bernal, Alexandre Almeida Costa, Brian Corrie, Rahmad Akbar, Ghadi S. Al Hajj, Gabriel Balaban, Todd M. Brusko, Maria Chernigovskaya, Scott Christley, Lindsay G. Cowell, Robert Frank, Ivar Grytten, Sveinung Gundersen, Ingrid Hobæk Haff, Eivind Hovig, Ping Han Hsieh, Günter Klambauer, Marieke L. Kuijjer, Christin Lund-Andersen, Antonio Martini, Thomas Minotto, Johan Pensar, Knut D. Rand, Enrico Riccardi, Philippe A. Robert, Artur Rocha, Andrei Slabodkin, Igor Snapkov, Ludvig M. Sollid, Dmytro Titov, Cédric R. Weber, Michael Widrich, Gur Yaari, Victor Greiff, Geir Kjetil Sandve. The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires
    945 -- 951Kai Fukami, Romit Maulik, Nesar Ramachandra, Koji Fukagata, Kunihiko Taira. Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning
    952 -- 961Mohamed Hibat-Allah, Estelle M. Inack, Roeland Wiersema, Roger G. Melko, Juan Carrasquilla. Variational neural annealing
    962 -- 972Hossein Sharifi Noghabi, Parsa Alamzadeh Harjandi, Olga I. Zolotareva, Colin C. Collins, Martin Ester. Out-of-distribution generalization from labelled and unlabelled gene expression data for drug response prediction
    973 -- 984Michael A. Skinnider, Fei Wang, Daniel Pasin, Russell Greiner, Leonard J. Foster, Petur W. Dalsgaard, David S. Wishart. A deep generative model enables automated structure elucidation of novel psychoactive substances
    985 -- 994Dongmyung Shin, Younghoon Kim, Chungseok Oh, Hongjun An, Juhyung Park, Jiye Kim, Jongho Lee. Deep reinforcement learning-designed radiofrequency waveform in MRI
    995 -- 1006Jing Gong, Kui Xu, Ziyuan Ma, Zhi John Lu, Qiangfeng Cliff Zhang. A deep learning method for recovering missing signals in transcriptome-wide RNA structure profiles from probing experiments

    Volume 3, Issue 10

    837 -- 0. Robotic body augmentation
    838 -- 839Yue Wang, David M. Herrington. Machine intelligence enabled radiomics
    840 -- 849Nicholas A. Lesica, Nishchay Mehta, Joseph G. Manjaly, Li Deng, Blake S. Wilson, Fan-Gang Zeng. Harnessing the power of artificial intelligence to transform hearing healthcare and research
    850 -- 860Giulia Dominijanni, Solaiman Shokur, Gionata Salvietti, Sarah Buehler, Erica Palmerini, Simone Rossi, Frédérique de Vignemont, Andrea d'Avella, Tamar R. Makin, Domenico Prattichizzo, Silvestro Micera. The neural resource allocation problem when enhancing human bodies with extra robotic limbs
    861 -- 863Hyungjin Chung, Jong Chul Ye. Reusability report: Feature disentanglement in generating a three-dimensional structure from a two-dimensional slice with sliceGAN
    864 -- 875Tianshi Lu, Ze Zhang, James Zhu, Yunguan Wang, Peixin Jiang, Xue Xiao, Chantale Bernatchez, John V. Heymach, Don L. Gibbons, Jun Wang, Lin Xu, Alexandre Reuben, Tao Wang. Deep learning-based prediction of the T cell receptor-antigen binding specificity
    876 -- 884Darui Jin, Ying Chen, Yi Lu, Junzhang Chen, Peng Wang 0084, Zichao Liu, Sheng Guo 0003, Xiangzhi Bai. Neutralizing the impact of atmospheric turbulence on complex scene imaging via deep learning
    885 -- 895Zhongqi Miao, Ziwei Liu 0002, Kaitlyn M. Gaynor, Meredith S. Palmer, Stella X. Yu, Wayne M. Getz. Iterative human and automated identification of wildlife images
    896 -- 904Kit T. Rodolfa, Hemank Lamba, Rayid Ghani. Empirical observation of negligible fairness-accuracy trade-offs in machine learning for public policy
    905 -- 913Bojian Yin, Federico Corradi, Sander M. Bohté. Accurate and efficient time-domain classification with adaptive spiking recurrent neural networks
    914 -- 922Jike Wang, Chang-Yu Hsieh, Mingyang Wang, Xiaorui Wang, Zhenxing Wu, Dejun Jiang, Benben Liao, Xujun Zhang, Bo Yang, Qiaojun He, Dongsheng Cao, Xi Chen, Tingjun Hou. Multi-constraint molecular generation based on conditional transformer, knowledge distillation and reinforcement learning
    923 -- 0Christophe De Wagter, Federico Paredes-Vallés, N. Sheth, Guido de Croon. Learning fast in autonomous drone racing

    Volume 3, Issue 1

    1 -- 0. Room for improvement
    2 -- 8Anna Jobin, Kingson Man, Antonio Damasio, Georgios Kaissis, Rickmer Braren, Julia Stoyanovich, Jay J. Van Bavel, Tessa V. West, Brent D. Mittelstadt 0002, Jason Eshraghian, Marta R. Costa-Jussà, Asaf Tzachor, Aimun A. B. Jamjoom, Mariarosaria Taddeo, Edoardo Sinibaldi, Yipeng Hu, Miguel A. Luengo-Oroz. AI reflections in 2020
    9 -- 15Risto Miikkulainen, Stephanie Forrest. A biological perspective on evolutionary computation
    16 -- 0Daniele Roberto Giacobbe. Clinical interpretation of an interpretable prognostic model for patients with COVID-19
    17 -- 0Ye Yuan 0002, Jorge M. Gonçalves, Yan Xiao, Hai-Tao Zhang, Hui Xu, Zhiguo Cao 0001. Reply to: Clinical interpretation of an interpretable prognostic model for patients with COVID-19
    18 -- 0Janice L. V. Reeve, Patrick J. Twomey. Consider laboratory aspects in developing patient prediction models
    19 -- 0Li Yan, Jorge M. Gonçalves, Hai-Tao Zhang, Shusheng Li, Ye Yuan 0002. Reply to: Consider the laboratory aspects in developing patient prediction models
    20 -- 22Claire Dupuis, E. De Montmollin, Mathilde Neuville, B. Mourvillier, S. Ruckly, Jean François Timsit. Limited applicability of a COVID-19 specific mortality prediction rule to the intensive care setting
    23 -- 24Marian J. R. Quanjel, Thijs C. van Holten, Pieternel C. Gunst-van der Vliet, Jette Wielaard, Bekir Karakaya, Maaike Söhne, Hazra S. Moeniralam, Jan C. Grutters. Replication of a mortality prediction model in Dutch patients with COVID-19
    25 -- 27Matthew A. Barish, Siavash Bolourani, Lawrence F. Lau, Sareen Shah, Theodoros P. Zanos. External validation demonstrates limited clinical utility of the interpretable mortality prediction model for patients with COVID-19
    28 -- 32Jorge M. Gonçalves, Li Yan, Hai-Tao Zhang, Yang Xiao, Maolin Wang, Yuqi Guo, Chuan Sun, Xiuchuan Tang, Zhiguo Cao 0001, Shusheng Li, Hui Xu, Cheng Cheng, Junyang Jin, Ye Yuan 0002. Li Yan et al. reply
    33 -- 41Guido C. H. E. de Croon, Christophe De Wagter, Tobias Seidl. Enhancing optical-flow-based control by learning visual appearance cues for flying robots
    42 -- 50Antoine Toisoul, Jean Kossaifi, Adrian Bulat, Georgios Tzimiropoulos, Maja Pantic. Estimation of continuous valence and arousal levels from faces in naturalistic conditions
    51 -- 59Dylan S. Shah, Joshua P. Powers, Liana G. Tilton, Sam Kriegman, Josh C. Bongard, Rebecca Kramer-Bottiglio. A soft robot that adapts to environments through shape change
    60 -- 67Siyuan Liu, Kim-Han Thung, Liangqiong Qu, Weili Lin, Dinggang Shen, Pew-Thian Yap. Learning MRI artefact removal with unpaired data
    68 -- 75Ruoqi Liu, Lai Wei, Ping Zhang 0016. A deep learning framework for drug repurposing via emulating clinical trials on real-world patient data
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