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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