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ORCIDPatterns, Volume 3
Volume 3, Number 1, January 2022
- Hanrui Zhang
, Xueqing Wang, Hongyang Li, Soham Mehendale, Yuanfang Guan:
Auto-annotating sleep stages based on polysomnographic data. 100371 - Styliani Kleanthous, Maria Kasinidou, Pinar Barlas, Jahna Otterbacher:
Perception of fairness in algorithmic decisions: Future developers' perspective. 100380 - Alex Volinski, Yuval Zaidel, Albert Shalumov, Travis DeWolf, Lazar Supic, Elishai Ezra Tsur:
Data-driven artificial and spiking neural networks for inverse kinematics in neurorobotics. 100391
- Marzyeh Ghassemi, Elaine O. Nsoesie:
In medicine, how do we machine learn anything real? 100392
- Somya D. Mohanty, Deborah Lekan, Thomas P. McCoy, Marjorie Jenkins, Prashanti Manda:
Machine learning for predicting readmission risk among the frail: Explainable AI for healthcare. 100395 - Suzana de Siqueira Santos, Mateo Torres, Diego Galeano, María del Mar Sánchez, Luca Cernuzzi, Alberto Paccanaro:
Machine learning and network medicine approaches for drug repositioning for COVID-19. 100396
- Francine Berman, Emilia Cabrera, Ali Jebari, Wassim Marrakchi:
The impact universe - a framework for prioritizing the public interest in the Internet of Things. 100398
- Pratham N. Soni, Siyu Shi, Pranav R. Sriram, Andrew Y. Ng, Pranav Rajpurkar:
Contrastive learning of heart and lung sounds for label-efficient diagnosis. 100400 - Nan Wu, Léonie Strömich, Sophia N. Yaliraki:
Prediction of allosteric sites and signaling: Insights from benchmarking datasets. 100408
- Michèle Ramsay:
African genomic data sharing and the struggle for equitable benefit. 100412
- Elishai Ezra Tsur, Travis DeWolf, Lazar Supic:
Walking on the thin intersectional lines of disciplines. 100413
- Olivier Jutel:
Blockchain humanitarianism and crypto-colonialism. 100422 - Christian Matek:
More than just sound: Harnessing metadata to improve neural network classifiers for medical auscultation. 100426 - Rui B. Chang:
A journey toward artificial intelligence-assisted automated sleep scoring. 100429
Volume 3, Number 2, February 2022
- Mustafa Umit Oner, Jianbin Chen, Egor Revkov, Anne James, Seow Ye Heng, Arife Neslihan Kaya, Jacob Josiah Santiago Alvarez, Angela Takano, Xin Min Cheng, Tony Kiat Hon Lim, Daniel Shao-Weng Tan, Weiwei Zhai, Anders Jacobsen Skanderup, Wing-Kin Sung, Hwee Kuan Lee:
Obtaining spatially resolved tumor purity maps using deep multiple instance learning in a pan-cancer study. 100399
- Jeffrey A. Ruffolo, Jeremias Sulam, Jeffrey J. Gray:
Antibody structure prediction using interpretable deep learning. 100406 - Jonathan J. Park, Sidi Chen:
Metaviromic identification of discriminative genomic features in SARS-CoV-2 using machine learning. 100407 - Kunal Khadilkar, Ashiqur R. KhudaBukhsh, Tom M. Mitchell:
Gender bias, social bias, and representation: 70 years of BHollywood. 100409
- Dimitris Spathis, Ignacio Perez-Pozuelo, Laia Marques-Fernandez, Cecilia Mascolo:
Breaking away from labels: The promise of self-supervised machine learning in intelligent health. 100410
- Lam-Ha Ly, Martin Vingron:
Effect of imputation on gene network reconstruction from single-cell RNA-seq data. 100414 - Matthew J. Sniatynski, John A. Shepherd, Thomas Ernst, Lynne R. Wilkens, D. Frank Hsu, Bruce S. Kristal:
Ranks underlie outcome of combining classifiers: Quantitative roles for diversity and accuracy. 100415
- Chinasa T. Okolo:
Optimizing human-centered AI for healthcare in the Global South. 100421 - Mona Sloane, Emanuel Moss, Rumman Chowdhury:
A Silicon Valley love triangle: Hiring algorithms, pseudo-science, and the quest for auditability. 100425
- Marui Li, Chaoyu Dong, Yunfei Mu, Xiaodan Yu, Qian Xiao, Hongjie Jia:
Data-model alliance network for the online multi-step thermal warning of energy storage system based on surface temperature diffusion. 100432
- Kunal Khadilkar, Ashiqur R. KhudaBukhsh, Tom M. Mitchell:
Gender bias, social bias, and representation: 70 years of BHollywood. 100442
- Austin Clyde:
AI for science and global citizens. 100446
- Mustafa Umit Oner, Wing-Kin Sung, Hwee Kuan Lee:
Oner, Sung, and Lee: Researchers in digital pathology for the future of modern medicine. 100447 - Artur Yakimovich:
Sequencing meets machine learning to fight emerging pathogens: A preview. 100448
Volume 3, Number 3, March 2022
- Jon Zelner, Kelly Broen, Ella August:
A guide to backward paper writing for the data sciences. 100423
- Shanshan Jia, Xingyi Li, Tiejun Huang, Jian K. Liu, Zhaofei Yu:
Representing the dynamics of high-dimensional data with non-redundant wavelets. 100424
- Matthias Braun, Patrik Hummel:
Data justice and data solidarity. 100427
- Omar Maddouri, Xiaoning Qian, Francis J. Alexander, Edward R. Dougherty, Byung-Jun Yoon:
Robust importance sampling for error estimation in the context of optimal Bayesian transfer learning. 100428 - Vanessa Lage-Rupprecht, Bruce Schultz, Justus Dick, Marcin Namysl, Andrea Zaliani, Stephan Gebel, Ole Pless, Jeanette Reinshagen, Bernhard Ellinger, Christian Ebeling, Alexander M. Esser, Marc Jacobs, Carsten Claussen, Martin Hofmann-Apitius:
A hybrid approach unveils drug repurposing candidates targeting an Alzheimer pathophysiology mechanism. 100433 - Daniel Osório, Yan Zhong, Guanxun Li, Qian Xu, Yongjian Yang, Yanan Tian, Robert S. Chapkin, Jianhua Z. Huang, James J. Cai:
scTenifoldKnk: An efficient virtual knockout tool for gene function predictions via single-cell gene regulatory network perturbation. 100434 - Zhi Wen, Guido Powell, Imane Chafi, David L. Buckeridge, Yue Li:
Inferring global-scale temporal latent topics from news reports to predict public health interventions for COVID-19. 100435 - Yating Lin, Haojun Li, Xu Xiao, Lei Zhang, Kejia Wang, Jingbo Zhao, Minshu Wang, Frank Zheng, Minwei Zhang, Wenxian Yang, Jiahuai Han, Rongshan Yu:
DAISM-DNNXMBD: Highly accurate cell type proportion estimation with in silico data augmentation and deep neural networks. 100440 - Eric M. Johnson, William L. Kath, Madhav Mani:
EMBEDR: Distinguishing signal from noise in single-cell omics data. 100443
- 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. 100444
- Yen-Chia Hsu, Ting-Hao Kenneth Huang, Himanshu Verma, Andrea Mauri, Illah R. Nourbakhsh, Alessandro Bozzon:
Empowering local communities using artificial intelligence. 100449
- Arun Mannodi-Kanakkithodi, Xiaofeng Xiang, Laura Jacoby, Robert Biegaj, Scott T. Dunham, Daniel R. Gamelin, Maria K. Y. Chan:
Universal machine learning framework for defect predictions in zinc blende semiconductors. 100450 - Yash Amonkar, David J. Farnham, Upmanu Lall:
A k-nearest neighbor space-time simulator with applications to large-scale wind and solar power modeling. 100454
- Shanshan Jia, Zhaofei Yu:
Zooming in on the brain via data science. 100463 - Xiaoru Dong, Rhonda Bacher:
Data-driven assessment of dimension reduction quality for single-cell omics data. 100465 - Vanessa Lage-Rupprecht, Bruce Schultz, Marcin Namysl:
A hybrid approach for identifying drug repurposing candidates and their mechanisms: An interview with Vanessa Lage-Rupprecht and two co-authors. 100466
Volume 3, Number 4, April 2022
- Thai-Hoang Pham, Yue Qiu, Jiahui Liu, Steven Zimmer, Eric E. O'Neill, Lei Xie, Ping Zhang:
Chemical-induced gene expression ranking and its application to pancreatic cancer drug repurposing. 100441 - Tianfan Fu, Kexin Huang, Cao Xiao, Lucas M. Glass, Jimeng Sun:
HINT: Hierarchical interaction network for clinical-trial-outcome predictions. 100445 - Alex Rogozhnikov, Pavan Ramkumar, Rishi Bedi, Saul Kato, G. Sean Escola:
Hierarchical confounder discovery in the experiment-machine learning cycle. 100451 - Yilin Ning, Marcus Eng Hock Ong, Bibhas Chakraborty, Benjamin Alan Goldstein, Daniel Shu Wei Ting, Roger Vaughan, Nan Liu:
Shapley variable importance cloud for interpretable machine learning. 100452
- Takoua Khorchani, Yojana Gadiya, Gesa Witt, Delia Lanzillotta, Carsten Claussen, Andrea Zaliani:
SASC: A simple approach to synthetic cohorts for generating longitudinal observational patient cohorts from COVID-19 clinical data. 100453
- John Zerilli, Umang Bhatt, Adrian Weller:
How transparency modulates trust in artificial intelligence. 100455
- Arthur Gwagwa, Emre Kazim, Airlie Hilliard:
The role of the African value of Ubuntu in global AI inclusion discourse: A normative ethics perspective. 100462
- 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. 100464 - Jakob Ohme, Theo B. Araujo:
Digital data donations: A quest for best practices. 100467
- Matthias Braun, Jenny Krutzinna:
Digital twins and the ethics of health decision-making concerning children. 100469 - Takaaki Masuda, Koshi Mimori:
Artificial intelligence-assisted drug repurposing via "chemical-induced gene expression ranking". 100470
- Caspar J. van Lissa, Wolfgang Stroebe, Michelle R. vanDellen, N. Pontus Leander, Maximilian Agostini, Tim Draws, Andrii Grygoryshyn, Ben Gützgow, Jannis Kreienkamp, Clara S. Vetter, Georgios Abakoumkin, Jamilah Hanum Abdul Khaiyom, Vjolica Ahmedi, Handan Akkas, Carlos A. Almenara, Mohsin Atta, Sabahat Cigdem Bagci, Sima Basel, Edona Berisha Kida, Allan B. I. Bernardo, Nicholas R. Buttrick, Phatthanakit Chobthamkit, Hoon-Seok Choi, Mioara Cristea, Sára Csaba, Kaja Damnjanovic, Ivan Danyliuk, Arobindu Dash, Daniela Di Santo, Karen M. Douglas, Violeta Enea, Daiane Gracieli Faller, Gavan J. Fitzsimons, Alexandra Gheorghiu, Ángel Gómez, Ali Hamaidia, Qing Han, Mai Helmy, Joevarian Hudiyana, Bertus F. Jeronimus, Ding-Yu Jiang, Veljko Jovanovic, Zeljka Kamenov, Anna Kende, Shian-Ling Keng, Tra Thi Thanh Kieu, Yasin Koc, Kamila Kovyazina, Inna Kozytska, Joshua Krause, Arie W. Kruglanksi, Anton Kurapov, Maja Kutlaca, Nóra Anna Lantos, Edward P. Lemay, Cokorda Bagus Jaya Lesmana, Winnifred R. Louis, Adrian Lueders, Najma Iqbal Malik, Anton P. Martinez, Kira O. McCabe, Jasmina Mehulic, Mirra Noor Milla, Idris Mohammed, Erica Molinario, Manuel Moyano, Hayat Muhammad, Silvana Mula, Hamdi Muluk, Solomiia Myroniuk, Reza Najafi, Claudia F. Nisa, Boglárka Nyúl, Paul A. O'Keefe, Jose Javier Olivas Osuna, Evgeny N. Osin, Joonha Park, Gennaro Pica, Antonio Pierro, Jonas H. Rees, Anne Margit Reitsema, Elena Resta, Marika Rullo, Michelle K. Ryan, Adil Samekin, Pekka Santtila, Edyta M. Sasin, Birga M. Schumpe, Heyla A. Selim, Michael Vicente Stanton, Samiah Sultana, Robbie M. Sutton, Eleftheria Tseliou, Akira Utsugi, Jolien Anne van Breen, Kees van Veen, Alexandra Vázquez, Robin Wollast, Victoria Wai-lan Yeung, Somayeh Zand, Iris Lav Zezelj, Bang Zheng, Andreas Zick, Claudia Zuniga, Jocelyn J. Bélanger:
Using machine learning to identify important predictors of COVID-19 infection prevention behaviors during the early phase of the pandemic. 100482
- Kunal Khadilkar, Ashiqur R. KhudaBukhsh, Tom M. Mitchell:
Gender bias, social bias, and representation in Bollywood and Hollywood. 100486
- Amalie Trewartha, Nicholas Walker, Haoyan Huo, Sanghoon Lee, Kevin Cruse, John Dagdelen, Alexander Dunn, Kristin A. Persson, Gerbrand Ceder, Anubhav Jain:
Quantifying the advantage of domain-specific pre-training on named entity recognition tasks in materials science. 100488
- Pavan Ramkumar, Saul Kato, G. Sean Escola:
Data science, human intelligence, and therapeutics discovery: An interview with Sean Escola, Saul Kato, and Pavan Ramkumar. 100490
Volume 3, Number 5, May 2022
- Zhihan Lv, Liang Qiao, Yuxi Li, Yong Yuan, Fei-Yue Wang:
BlockNet: Beyond reliable spatial Digital Twins to Parallel Metaverse. 100468
- Athanasios Tsanas:
Relevance, redundancy, and complementarity trade-off (RRCT): A principled, generic, robust feature-selection tool. 100471 - Christopher Wiedeman, Ge Wang:
Disrupting adversarial transferability in deep neural networks. 100472 - 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. 100473 - Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang:
Stabilizing deep tomographic reconstruction: Part A. Hybrid framework and experimental results. 100474 - Weiwen Wu, Dianlin Hu, Wenxiang Cong, Hongming Shan, Shaoyu Wang, Chuang Niu, Pingkun Yan, Hengyong Yu, Varut Vardhanabhuti, Ge Wang:
Stabilizing deep tomographic reconstruction: Part B. Convergence analysis and adversarial attacks. 100475
- Rachel L. Thomas, David Uminsky:
Reliance on metrics is a fundamental challenge for AI. 100476
- Amy P. K. Nelson, Robert J. Gray, James K. Ruffle, Henry C. Watkins, Daniel Herron, Nick Sorros, Danil Mikhailov, M. Jorge Cardoso, Sébastien Ourselin, Nick McNally, Bryan Williams, Geraint E. Rees, Parashkev Nachev:
Deep forecasting of translational impact in medical research. 100483
- Weiqing Min, Chunlin Liu, Leyi Xu, Shuqiang Jiang:
Applications of knowledge graphs for food science and industry. 100484
- 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. 100485 - Sinem Sav, Jean-Philippe Bossuat, Juan Ramón Troncoso-Pastoriza, Manfred Claassen, Jean-Pierre Hubaux:
Privacy-preserving federated neural network learning for disease-associated cell classification. 100487 - Sadman Sadeed Omee, Steph-Yves M. Louis, Nihang Fu, Lai Wei, Sourin Dey, Rongzhi Dong, Qinyang Li, Jianjun Hu:
Scalable deeper graph neural networks for high-performance materials property prediction. 100491
- Sanjoy Dey, Prithwish Chakraborty, Bum Chul Kwon, Amit Dhurandhar, Mohamed F. Ghalwash, Fernando J. Suarez Saiz, Kenney Ng, Daby Sow, Kush R. Varshney, Pablo Meyer:
Human-centered explainability for life sciences, healthcare, and medical informatics. 100493 - Amy P. K. Nelson:
Reframing research impact. 100508
- Liansheng Wang, Lianyu Zhou, Wenxian Yang, Rongshan Yu:
Deepfakes: A new threat to image fabrication in scientific publications? 100509
Volume 3, Number 6, June 2022
- Daswin De Silva, Damminda Alahakoon:
An artificial intelligence life cycle: From conception to production. 100489
- Zhuo Wang, Wenhua Yang, Linyan Xiang, Xiao Wang, Yingjie Zhao, Yaohong Xiao, Pengwei Liu, Yucheng Liu, Mihaela Banu, Oleg Zikanov, Lei Chen:
Multi-input convolutional network for ultrafast simulation of field evolvement. 100494
- Andrew M. Lorrey, Petra R. Pearce, Rob Allan, Clive Wilkinson, John-Mark Woolley, Emily Judd, Stuart Mackay, Sudhir Rawhat, Laura Slivinski, Sally Wilkinson, Ed Hawkins, Patrick Quesnel, Gilbert P. Compo:
Meteorological data rescue: Citizen science lessons learned from Southern Weather Discovery. 100495
- Sayoni Das, Krystyna Taylor, Simon Beaulah, Steve Gardner:
Systematic indication extension for drugs using patient stratification insights generated by combinatorial analytics. 100496
- Yingjie Zhao, Jianshu Qin, Shijun Wang, Zhiping Xu:
Unraveling the morphological complexity of two-dimensional macromolecules. 100497 - Jiayi Pan, Heye Zhang, Weifei Wu, Zhifan Gao, Weiwen Wu:
Multi-domain integrative Swin transformer network for sparse-view tomographic reconstruction. 100498
- 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. 100506 - Tom Koch:
Disease mapping and innovation: A history from wood-block prints to Web 3.0. 100507
- Bon Sy, Michael Wassil, Alisha Hassan, Jin Chen:
Personalizing self-management via behavioral predictive analytics with health education for improved self-efficacy. 100510
- Ruhan Liu, Xiangning Wang, Qiang Wu, Ling Dai, Xi Fang, Tao Yan, Jaemin Son, Shiqi Tang, Jiang Li, Zijian Gao, Adrian Galdran, J. M. Poorneshwaran, Hao Liu, Jie Wang, Yerui Chen, Prasanna Porwal, Gavin Siew Wei Tan, Xiaokang Yang, Chao Dai, Haitao Song, Mingang Chen, Huating Li, Weiping Jia, Dinggang Shen, Bin Sheng, Ping Zhang:
DeepDRiD: Diabetic Retinopathy - Grading and Image Quality Estimation Challenge. 100512
- Wei Zhu, Jiebo Luo, Andrew D. White:
Federated learning of molecular properties with graph neural networks in a heterogeneous setting. 100521 - Guobin Shen, Dongcheng Zhao, Yi Zeng:
Backpropagation with biologically plausible spatiotemporal adjustment for training deep spiking neural networks. 100522
- Zhiping Xu:
Physical scientist or a data scientist? A journey between disciplines. 100527
- Joyjit Chatterjee, Nina Dethlefs:
Facilitating a smoother transition to renewable energy with AI. 100528 - Martin-Immanuel Bittner, Sahar Farajnia:
AI in drug discovery: Applications, opportunities, and challenges. 100529
Volume 3, Number 7, July 2022
- Paul Chong, Byung-Jun Yoon, Debbie Lai, Michael Carlson, Jarone Lee, Shuhan He:
Looking back on forward-looking COVID models. 100492
- Jinjin Gu, Xinlei Wang, Chenang Li, Junhua Zhao, Weijin Fu, Gaoqi Liang, Jing Qiu:
AI-enabled image fraud in scientific publications. 100511
- Jinwoo Leem, Laura S. Mitchell, James H. R. Farmery, Justin Barton, Jacob D. Galson:
Deciphering the language of antibodies using self-supervised learning. 100513
- Ruiyang Liu, Yinghui Li, Linmi Tao, Dun Liang, Hai-Tao Zheng:
Are we ready for a new paradigm shift? A survey on visual deep MLP. 100520
- Sandhya Prabhakaran, Chandler Gatenbee, Mark Robertson-Tessi, Jeffrey West, Amer A. Beg, Jhanelle Gray, Scott Antonia, Robert A. Gatenby, Alexander R. A. Anderson:
Mistic: An open-source multiplexed image t-SNE viewer. 100523
- Ilayda Beyreli, Oguzhan Karakahya, A. Ercüment Çiçek:
DeepND: Deep multitask learning of gene risk for comorbid neurodevelopmental disorders. 100524
- Emre Kazim, Enzo Fenoglio, Airlie Hilliard, Adriano Soares Koshiyama, Catherine Mulligan, Markus Trengove, Abigail Gilbert, Arthur Gwagwa, Denise R. S. Almeida, Phil Godsiff, Kaska Porayska-Pomsta:
On the sui generis value capture of new digital technologies: The case of AI. 100526
- Catherine D'Ignazio, Isadora Cruxên, Helena Suárez Val, Angeles Martinez Cuba, Mariel García-Montes, Silvana Fumega, Harini Suresh, Wonyoung So:
Feminicide and counterdata production: Activist efforts to monitor and challenge gender-related violence. 100530 - Changyu Deng, Andrew Kim, Wei Lu:
A generic battery-cycling optimization framework with learned sampling and early stopping strategies. 100531 - Malte Rørmose Damgaard, Rasmus Pedersen, Thomas Bak:
Toward an idiomatic framework for cognitive robotics. 100533 - Yoonjoo Choi:
Artificial intelligence for antibody reading comprehension: AntiBERTa. 100535
- 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. 100537 - Zhen Xu, Sergio Escalera, Adrien Pavão, Magali Richard, Wei-Wei Tu, Quanming Yao, Huan Zhao, Isabelle Guyon:
Codabench: Flexible, easy-to-use, and reproducible meta-benchmark platform. 100543
- Rebecca Tooze:
Navigating an early career in genomics and data science, written from the perspective of a current PhD student. 100548 - Sandhya Prabhakaran, Chandler Gatenbee, Alexander R. A. Anderson:
Developing tools for analyzing and viewing multiplexed images. 100549
Volume 3, Number 8, August 2022
- Lijia Wang, Xin Tong, Y. X. Rachel Wang:
Statistics in everyone's backyard: An impact study via citation network analysis. 100532
- Kendra Albert, Maggie K. Delano:
Sex trouble: Sex/gender slippage, sex confusion, and sex obsession in machine learning using electronic health records. 100534
- 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. 100536
- Markus Trengove, Emre Kazim, Denise R. S. Almeida, Airlie Hilliard, Sara Zannone, Elizabeth Lomas:
A critical review of the Online Safety Bill. 100544
- Kilian Wenker:
A systematic literature review on persuasive technology at the workplace. 100545
- Roni Barak Ventura, Manuel Ruiz Marín, Maurizio Porfiri:
A spatiotemporal model of firearm ownership in the United States. 100546 - Mark A. Hernandez, Shagun Modi, Kanisha Mittal, Pallavi Dwivedi, Quynh C. Nguyen, Nina L. Cesare, Elaine O. Nsoesie:
Diet during the COVID-19 pandemic: An analysis of Twitter data. 100547 - Stefano Recanatesi, Serena Bradde, Vijay Balasubramanian, Nicholas A. Steinmetz, Eric Shea-Brown:
A scale-dependent measure of system dimensionality. 100555 - Javad Rahimikollu, Jishnu Das:
A supervised take on dimensionality reduction via hybrid subset selection. 100563 - James F. Campbell:
Will drones revolutionize home delivery? Let's get real... 100564 - Tomo Lazovich, Luca Belli, Aaron Gonzales, Amanda Bower, Uthaipon Tantipongpipat, Kristian Lum, Ferenc Huszár, Rumman Chowdhury:
Measuring disparate outcomes of content recommendation algorithms with distributional inequality metrics. 100568 - Thiago A. Rodrigues, Jay Patrikar, Natalia L. Oliveira, H. Scott Matthews, Sebastian A. Scherer, Constantine Samaras:
Drone flight data reveal energy and greenhouse gas emissions savings for very small package delivery. 100569
- Andrea H. Ramirez, Lina M. Sulieman, David J. Schlueter, Alese E. Halvorson, Jun Qian, Francis Ratsimbazafy, Roxana Loperena-Cortes, Kelsey R. Mayo, Melissa A. Basford, Nicole Deflaux, Karthik Muthuraman, Karthik Natarajan, Abel N. Kho, Hua Xu, Consuelo H. Wilkins, Hoda Anton-Culver, Eric Boerwinkle, Mine Cicek, Cheryl R. Clark, Elizabeth Cohn, Lucila Ohno-Machado, Sheri D. Schully, Brian K. Ahmedani, Maria Argos, Robert M. Cronin, Christopher J. O'Donnell, Mona Fouad, David B. Goldstein, Philip Greenland, Scott J. Hebbring, Elizabeth W. Karlson, Parinda Khatri, Bruce Korf, Jordan W. Smoller, Stephen Sodeke, John Wilbanks, Justin Hentges, Stephen Mockrin, Christopher Lunt, Stephanie A. Devaney, Kelly Gebo, Joshua C. Denny, Robert J. Carroll, David Glazer, Paul A. Harris, George Hripcsak, Anthony A. Philippakis, Dan M. Roden:
The All of Us Research Program: Data quality, utility, and diversity. 100570 - Jonas Wahl:
Where are all the guns? Modeling firearm ownership in the United States. 100571
- Ivan Specht, Kian Sani, Bryn C. Loftness, Curtis S. Hoffmann, Gabrielle Gionet, Amy Bronson, John Marshall, Craig Decker, Landen Bailey, Tomi Siyanbade, Molly Kemball, Brett E. Pickett, William P. Hanage, Todd Brown, Pardis C. Sabeti, Andrés Colubri:
Analyzing the impact of a real-life outbreak simulator on pandemic mitigation: An epidemiological modeling study. 100572
- Maggie K. Delano, Kendra Albert:
Two researchers share how their cross disciplinary collaboration enables work to guide the future of data science. 100573 - David R. Glass, Meelad Amouzgar:
Data science through the lens of systems immunology. 100574
- Debora Irene Christine, Mamello Thinyane:
Citizen science as a data-based practice: A consideration of data justice. 100575 - Charlotte Freitag, Mike Berners-Lee, Kelly Widdicks, Bran Knowles, Gordon S. Blair, Adrian Friday:
The real climate and transformative impact of ICT: A critique of estimates, trends, and regulations. 100576
Volume 3, Number 9, September 2022
- Sumit Madan, Victoria Demina, Marcus Stapf, Oliver Ernst, Holger Fröhlich:
Accurate prediction of virus-host protein-protein interactions via a Siamese neural network using deep protein sequence embeddings. 100551
- 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. 100552
- Xuhao Wan, Zhaofu Zhang, Wei Yu, Huan Niu, Xiting Wang, Yuzheng Guo:
Machine-learning-assisted discovery of highly efficient high-entropy alloy catalysts for the oxygen reduction reaction. 100553 - Andrea Downing, Eric Perakslis:
Health advertising on Facebook: Privacy and policy considerations. 100561
- Kirill Kryukov, Lihua Jin, So Nakagawa:
Efficient compression of SARS-CoV-2 genome data using Nucleotide Archival Format. 100562
- Yun Hao, Joseph D. Romano, Jason H. Moore:
Knowledge-guided deep learning models of drug toxicity improve interpretation. 100565 - Arjun Ghosh, Nanda Dulal Jana, Saurav Mallik, Zhongming Zhao:
Designing optimal convolutional neural network architecture using differential evolution algorithm. 100567 - 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. 100577 - Weixin Liang, Scott Elrod, Daniel A. McFarland, James Zou:
Systematic analysis of 50 years of Stanford University technology transfer and commercialization. 100584 - John Thomas, Pam Mantri:
Design for financial sustainability. 100585 - Matthew J. Sniatynski, Bruce S. Kristal:
Predicting drug toxicity at the intersection of informatics and biology: DTox builds a foundation. 100586
- Anahid Basiri, Chris Brunsdon:
Missing data as data. 100587
Volume 3, Number 10, October 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. 100550
- Peter Ward, Geraint A. Tarling, Petra ten Hoopen:
A database of zooplankton abundance in the Atlantic sectors of the Southern and sub-Arctic Oceans. 100554 - Petra ten Hoopen, Helen J. Peat, Peter Ward, Geraint A. Tarling:
Polar biodiversity data: From a national marine platform to a global data portal. 100566
- Mario Krenn, Qianxiang Ai, Senja Barthel, Nessa Carson, Angelo Frei, Nathan C. Frey, Pascal Friederich, Théophile Gaudin, Alberto Alexander Gayle, Kevin Maik Jablonka, Rafael F. Lameiro, Dominik Lemm, Alston Lo, Seyed Mohamad Moosavi, José Manuel Nápoles-Duarte, AkshatKumar Nigam, Robert Pollice, Kohulan Rajan, Ulrich Schatzschneider, Philippe Schwaller, Marta Skreta, Berend Smit, Felix Strieth-Kalthoff, Chong Sun, Gary Tom, Guido Falk von Rudorff, Andrew Wang, Andrew D. White, Adamo Young, Rose Yu, Alán Aspuru-Guzik:
SELFIES and the future of molecular string representations. 100588
- Aldo Glielmo, Iuri Macocco, Diego Doimo, Matteo Carli, Claudio Zeni, Romina Wild, Maria d'Errico, Alex Rodriguez, Alessandro Laio:
DADApy: Distance-based analysis of data-manifolds in Python. 100589
- Jia Lu, Ryan Tsoi, Nan Luo, Yuanchi Ha, Shangying Wang, Minjun Kwak, Yasa Baig, Nicole Moiseyev, Shari Tian, Alison Zhang, Neil Zhenqiang Gong, Lingchong You:
Distributed information encoding and decoding using self-organized spatial patterns. 100590 - Christoph Kern, Frederic Gerdon, Ruben L. Bach, Florian Keusch, Frauke Kreuter:
Humans versus machines: Who is perceived to decide fairer? Experimental evidence on attitudes toward automated decision-making. 100591 - Zhanping Zhou, Chenyang Zhao, Hui Qiao, Ming Wang, Yuchen Guo, Qian Wang, Rui Zhang, Huaiyu Wu, Fajin Dong, Zhenhong Qi, Jianchu Li, Xinping Tian, Xiaofeng Zeng, Yuxin Jiang, Feng Xu, Qionghai Dai, Meng Yang:
RATING: Medical knowledge-guided rheumatoid arthritis assessment from multimodal ultrasound images via deep learning. 100592
- Ola Hall, Mattias Ohlsson, Thorsteinn S. Rögnvaldsson:
A review of explainable AI in the satellite data, deep machine learning, and human poverty domain. 100600
- Isabelle Fest, Maranke Wieringa, Ben Wagner:
Paper vs. practice: How legal and ethical frameworks influence public sector data professionals in the Netherlands. 100604 - Rafael Vescovi, Ryan Chard, Nickolaus D. Saint, Ben Blaiszik, Jim Pruyne, Tekin Bicer, Alex Lavens, Zhengchun Liu, Michael E. Papka, Suresh Narayanan, Nicholas Schwarz, Kyle Chard, Ian T. Foster:
Linking scientific instruments and computation: Patterns, technologies, and experiences. 100606 - Isabelle Fest, Maranke Wieringa, Ben Wagner:
Responsible data science is a responsibility for all. 100607
Volume 3, Number 11, November 2022
- Mauro Lombardi, Simone Vannuccini:
Understanding emerging patterns and dynamics through the lenses of the cyber-physical universe. 100601
- Zhe S. Chen, Prathamesh Kulkarni, Isaac R. Galatzer-Levy, Benedetta Bigio, Carla Nasca, Yu Zhang:
Modern views of machine learning for precision psychiatry. 100602
- Tian Xing, Hu Yan, Kailai Sun, Yifan Wang, Xuetao Wang, Qianchuan Zhao:
Honeycomb: An open-source distributed system for smart buildings. 100605
- Serena Oduro, Emanuel Moss, Jacob Metcalf:
Obligations to assess: Recent trends in AI accountability regulations. 100608
- Yang Liu, Haiyou Huang, Jie Yuan, Yan Zhang, Hongyuan Feng, Ning Chen, Yang Li, Jiao Teng, Kui Jin, Dezhen Xue, Yanjing Su:
Upper limit of the transition temperature of superconducting materials. 100609 - Waheed Miran, Wenyuan Huang, Xizi Long, Gaku Imamura, Akihiro Okamoto:
Multivariate landscapes constructed by Bayesian estimation over five hundred microbial electrochemical time profiles. 100610 - Feifei Zhao, Yi Zeng, Bing Han, Hongjian Fang, Zhuoya Zhao:
Nature-inspired self-organizing collision avoidance for drone swarm based on reward-modulated spiking neural network. 100611 - Qing Lyu, Sanjeev V. Namjoshi, Emory McTyre, Umit Topaloglu, Richard Barcus, Michael D. Chan, Christina K. Cramer, Waldemar Debinski, Metin N. Gurcan, Glenn J. Lesser, Hui-Kuan Lin, Reginald F. Munden, Boris C. Pasche, Kiran Kumar Solingapuram Sai, Roy E. Strowd, Stephen B. Tatter, Kounosuke Watabe, Wei Zhang, Ge Wang, Christopher T. Whitlow:
A transformer-based deep-learning approach for classifying brain metastases into primary organ sites using clinical whole-brain MRI images. 100613 - Qiang Cui, Yi-lin Lei, Ye Li:
Potential carbon emissions reduction from fleet schedule reconfiguration of China's and India's external routes. 100614 - Andrea Pitzus, Simone Romeni, Fabio Vallone, Silvestro Micera:
A method to establish functional vagus nerve topography from electro-neurographic spontaneous activity. 100615
- David Murrugarra, Alan Veliz-Cuba:
An information theoretic approach for the inference of Boolean networks and functions from data: BoCSE. 100617 - Ben Wagner, Claudia Müller-Birn:
Responsible and accountable data science. 100629 - Turab Lookman, Alejandro Lopez-Bezanilla:
What can data science tell us about finding new superconductors? 100630
- Jie Sun, Abd AlRahman R. AlMomani, Erik M. Bollt:
Data-driven learning of Boolean networks and functions by optimal causation entropy principle. 100631
- Waheed Miran, Gaku Imamura, Akihiro Okamoto:
Architecting data-driven microbial electrochemistry from scratch. 100637
- Steve Cranford:
Navigating the "Kessel Run" of digital materials acceleration. 100638
Volume 3, Number 12, December 2022
- Ioannis Tsamardinos:
Don't lose samples to estimation. 100612
- Shuo Liu, Adria Mallol-Ragolta, Emilia Parada-Cabaleiro, Kun Qian, Xin Jing, Alexander Kathan, Bin Hu, Björn W. Schuller:
Audio self-supervised learning: A survey. 100616
- Arnab Kabiraj, Tripti Jain, Santanu Mahapatra:
Massive Monte Carlo simulations-guided interpretable learning of two-dimensional Curie temperature. 100625 - Dolzodmaa Davaasuren, Yintong Chen, Leila Jaafar, Rayna Marshall, Angelica L. Dunham, Charles T. Anderson, James Z. Wang:
Automated 3D segmentation of guard cells enables volumetric analysis of stomatal biomechanics. 100627 - Jiahua Rao, Shuangjia Zheng, Yutong Lu, Yuedong Yang:
Quantitative evaluation of explainable graph neural networks for molecular property prediction. 100628
- Erin Connelly, Christina Lee, Jessica Furner-Pardoe, Charo I. Del Genio, Freya Harrison:
A case study of the Ancientbiotics collaboration. 100632
- David A. Santos, Justin L. Andrews, Binbin Lin, Luis R. De Jesus, Yuting Luo, Savannah Pas, Michelle A. Gross, Luis Carillo, Peter Stein, Yu Ding, Bai-Xiang Xu, Sarbajit Banerjee:
Multivariate hyperspectral data analytics across length scales to probe compositional, phase, and strain heterogeneities in electrode materials. 100634
- Marko Tesic, Ulrike Hahn:
Can counterfactual explanations of AI systems' predictions skew lay users' causal intuitions about the world? If so, can we correct for that? 100635
- 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. 100639
- Le Xie, Tong Huang, Xiangtian Zheng, Yan Liu, Mengdi Wang, Vijay Vittal, P. R. Kumar, Srinivas Shakkottai, Yi Cui:
Energy system digitization in the era of AI: A three-layered approach toward carbon neutrality. 100640
- Mustafa Umit Oner, Mei Ying Ng, Danilo Medina Giron, Cecilia Ee Chen Xi, Louis Ang Yuan Xiang, Malay Singh, Weimiao Yu, Wing-Kin Sung, Chin Fong Wong, Hwee Kuan Lee:
An AI-assisted tool for efficient prostate cancer diagnosis in low-grade and low-volume cases. 100642
- Jiahua Rao, Shuangjia Zheng, Yuedong Yang:
Integrating supercomputing and artificial intelligence for life science. 100653 - Aashutosh Mistry, Venkat Srinivasan:
Machine learning accelerates identification of lithiated phases in X-ray images of battery hosts. 100654
- Ivana Maric, Kévin Contrepois, Mira N. Moufarrej, Ina A. Stelzer, Dorien Feyaerts, Xiaoyuan Han, Andy Tang, Natalie Stanley, Ronald J. Wong, Gavin M. Traber, Mathew Ellenberger, Alan L. Chang, Ramin Fallahzadeh, Huda Nassar, Martin Becker, Maria Xenochristou, Camilo Espinosa, Davide De Francesco, Mohammad S. Ghaemi, Elizabeth K. Costello, Anthony Culos, Xuefeng Bruce Ling, Karl G. Sylvester, Gary L. Darmstadt, Virginia D. Winn, Gary M. Shaw, David A. Relman, Stephen R. Quake, Martin S. Angst, Michael P. Snyder, David K. Stevenson, Brice Gaudilliere, Nima Aghaeepour:
Early prediction and longitudinal modeling of preeclampsia from multiomics. 100655 - Holger Engleitner, Ashwani Jha, Marta Suárez-Pinilla, Amy P. K. Nelson, Daniel Herron, Geraint Rees, Karl J. Friston, Martin Rossor, Parashkev Nachev:
GeoSPM: Geostatistical parametric mapping for medicine. 100656
- David A. Santos, Binbin Lin, Justin L. Andrews:
Data science enables X-ray vision. 100660 - Shahab Bakhtiari:
Energy efficiency as a normative account for predictive coding. 100661
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