External Links

    Journal: Patterns

    Volume 2, Issue 9

    100314 -- 0Emre Kazim, Adriano Soares Koshiyama. A high-level overview of AI ethics
    100316 -- 0Prithviraj Ammanabrolu, Mark O. Riedl. Situated language learning via interactive narratives
    100321 -- 0Yan Liu, Xiaoqi Wei, Wenfang Chen, Lianyu Hu, Zengyou He. A graph-traversal approach to identify influential nodes in a network
    100322 -- 0Jeremy Leipzig, Daniel Nüst, Charles Tapley Hoyt, Karthik Ram, Jane Greenberg. The role of metadata in reproducible computational research
    100323 -- 0Farid Nakhle, Antoine Harfouche. Ready, Steady, Go AI: A practical tutorial on fundamentals of artificial intelligence and its applications in phenomics image analysis
    100325 -- 0A. K. M. Azad, Shadma Fatima, Alexander Capraro, Shafagh A. Waters, Fatemeh Vafaee. Integrative resource for network-based investigation of COVID-19 combinatorial drug repositioning and mechanism of action
    100329 -- 0Abhijit Gupta, Mandar Kulkarni, Arnab Mukherjee. Accurate prediction of B-form/A-form DNA conformation propensity from primary sequence: A machine learning and free energy handshake
    100332 -- 0N. Alexia Raharinirina, Felix Peppert, Max von Kleist, Christof Schütte, Vikram Sunkara. Inferring gene regulatory networks from single-cell RNA-seq temporal snapshot data requires higher-order moments
    100333 -- 0Tianyu Hao, Shifeng Leng, Yankang Yang, Wenkai Zhong, Ming Zhang, Lei Zhu, Jingnan Song, Jinqiu Xu, Guanqing Zhou, Yecheng Zou, YongMing Zhang, Feng Liu. Capture the high-efficiency non-fullerene ternary organic solar cells formula by machine-learning-assisted energy-level alignment optimization
    100337 -- 0Jessica K. De Freitas, Kipp W. Johnson, Eddye Golden, Girish N. Nadkarni, Joel T. Dudley, Erwin P. Bottinger, Benjamin S. Glicksberg, Riccardo Miotto. Phe2vec: Automated disease phenotyping based on unsupervised embeddings from electronic health records
    100338 -- 0Md Sazzad Hosen. A quick battery charging curve prediction by artificial neural network
    100339 -- 0Keith G. Jeffery. FAIR, open, and free does not mean no restrictions
    100340 -- 0Charlotte 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

    Volume 2, Issue 8

    100293 -- 0Óscar Lapuente-Santana, Maisa van Genderen, Peter A. J. Hilbers, Francesca Finotello, Federica Eduati. Interpretable systems biomarkers predict response to immune-checkpoint inhibitors
    100302 -- 0Xiaopeng Tang, Kailong Liu, Kang Li, Widanalage Dhammika Widanage, Emma Kendrick, Furong Gao. Recovering large-scale battery aging dataset with machine learning
    100303 -- 0Xiangning Chen, Daniel G. Chen, Zhongming Zhao, Justin Zhan, Changrong Ji, Jingchun Chen. Artificial image objects for classification of schizophrenia with GWAS-selected SNVs and convolutional neural network
    100306 -- 0Tanujit Dey, Jaechoul Lee, Sounak Chakraborty, Jay Chandra, Anushka Bhaskar, Kenneth Zhang, Anchal Bhaskar, Francesca Dominici. Lag time between state-level policy interventions and change points in COVID-19 outcomes in the United States
    100307 -- 0Shuting Jin, Zhangming Niu, Changzhi Jiang, Wei Huang, Feng Xia 0001, Xurui Jin, Xiangrong Liu, Xiangxiang Zeng. HeTDR: Drug repositioning based on heterogeneous networks and text mining
    100308 -- 0Biplav Srivastava. Did chatbots miss their "Apollo Moment"? Potential, gaps, and lessons from using collaboration assistants during COVID-19
    100309 -- 0Jing Gao. Bias-variance decomposition of absolute errors for diagnosing regression models of continuous data
    100310 -- 0Jon Zelner, Julien Riou, Ruth Etzioni, Andrew Gelman. Accounting for uncertainty during a pandemic
    100311 -- 0Fangfang Yan, Zhongming Zhao, Lukas M. Simon. EmptyNN: A neural network based on positive and unlabeled learning to remove cell-free droplets and recover lost cells in scRNA-seq data
    100312 -- 0Kien Wei Siah, Nicholas W. Kelley, Steffen Ballerstedt, Björn Holzhauer, Tianmeng Lyu, David Mettler, Sophie Sun, Simon Wandel, Yang Zhong, Bin Zhou, Shifeng Pan, Yingyao Zhou, Andrew W. Lo. Predicting drug approvals: The Novartis data science and artificial intelligence challenge
    100313 -- 0Justin Guinney. Preview of "Interpretable systems biomarkers predict response to immune-checkpoint inhibitors"
    100315 -- 0Meleik Hyman, Calvin Mark, Ahmed Imteaj, Hamed Ghiaie, Shabnam Rezapour, Arif Mohaimin Sadri, M. Hadi Amini. Data analytics to evaluate the impact of infectious disease on economy: Case study of COVID-19 pandemic
    100326 -- 0Jorge Montalvo Arvizu, Lachlan Robert Mason, John Moriarty. Reinforcing the role of competition platforms
    100327 -- 0Anatola Araba Pabst. Afro Algorithms: Imagining new possibilities for race, technology, and the future through animated storytelling
    100330 -- 0Jannis Born, David Beymer, Deepta Rajan, Adam Coy, Vandana V. Mukherjee, Matteo Manica, Prasanth Prasanna, Deddeh Ballah, Michal Guindy, Dorith Shaham, Pallav L. Shah, Emmanouil Karteris, Jan L. Robertus, Maria Gabrani, Michal Rosen-Zvi. On the role of artificial intelligence in medical imaging of COVID-19
    100331 -- 0Jeremy G. Frey. Fair enough: A sideways look

    Volume 2, Issue 7

    100271 -- 0Joonas Jälkö, Eemil Lagerspetz, Jari Haukka, Sasu Tarkoma, Antti Honkela, Samuel Kaski. Privacy-preserving data sharing via probabilistic modeling
    100272 -- 0Tom Koch. Welcome to the revolution: COVID-19 and the democratization of spatial-temporal data
    100273 -- 0Petar Velickovic, Charles Blundell. Neural algorithmic reasoning
    100274 -- 0Felipe Hernandes Coutinho, Asier Zaragoza-Solas, Mario López-Pérez, Jakub Barylski, Andrzej Zielezinski, Bas E. Dutilh, Robert A. Edwards, Francisco Rodríguez-Valera. RaFAH: Host prediction for viruses of Bacteria and Archaea based on protein content
    100285 -- 0Elizabeth J. Kautz. Predicting material microstructure evolution via data-driven machine learning
    100286 -- 0Simone Romeni, Davide Zoccolan, Silvestro Micera. A machine learning framework to optimize optic nerve electrical stimulation for vision restoration
    100288 -- 0Matthew Amodio, Dennis L. Shung, Daniel B. Burkhardt, Patrick Wong, Michael Simonov, Yu Yamamoto, David van Dijk, Francis Perry Wilson, Akiko Iwasaki, Smita Krishnaswamy. Generating hard-to-obtain information from easy-to-obtain information: Applications in drug discovery and clinical inference
    100289 -- 0Xianghao Zhan, Marie Humbert-Droz, Pritam Mukherjee, Olivier Gevaert. Structuring clinical text with AI: Old versus new natural language processing techniques evaluated on eight common cardiovascular diseases
    100290 -- 0Vineeth Venugopal, Sourav Sahoo, Mohd Zaki, Manish Agarwal, Nitya Nand Gosvami, N. M. Anoop Krishnan. Looking through glass: Knowledge discovery from materials science literature using natural language processing
    100291 -- 0Alauddin Ahmed, Donald J. Siegel. Predicting hydrogen storage in MOFs via machine learning
    100292 -- 0Siming Zheng, Chunyang Wang, Xin Yuan 0002, Huolin L. Xin. Super-compression of large electron microscopy time series by deep compressive sensing learning
    100301 -- 0Jann Michael Weinand, Russell McKenna, Max Kleinebrahm, Fabian Scheller, Wolf Fichtner. The impact of public acceptance on cost efficiency and environmental sustainability in decentralized energy systems
    100304 -- 0David Haslacher, Khaled Nasr, Surjo R. Soekadar. Advancing sensory neuroprosthetics using artificial brain networks
    100305 -- 0Lawson T. Glasby, Peyman Z. Moghadam. Hydrogen storage in MOFs: Machine learning for finding a needle in a haystack

    Volume 2, Issue 6

    100246 -- 0Richard Y. Li, Sharvari Gujja, Sweta R. Bajaj, Omar E. Gamel, Nicholas Cilfone, Jeffrey R. Gulcher, Daniel A. Lidar, Thomas W. Chittenden. Quantum processor-inspired machine learning in the biomedical sciences
    100253 -- 0Milad Alshomary, Henning Wachsmuth. Toward audience-aware argument generation
    100255 -- 0Karthik Murugadoss, Ajit Rajasekharan, Bradley Malin, Vineet Agarwal, Sairam Bade, Jeff R. Anderson, Jason L. Ross, William A. Faubion Jr., John D. Halamka, Venky Soundararajan, Sankar Ardhanari. Building a best-in-class automated de-identification tool for electronic health records through ensemble learning
    100257 -- 0Özgün Babur, Augustin Luna, Anil Korkut, Funda Durupinar, Metin Can Siper, Ugur Dogrusoz, Alvaro Sebastian Vaca Jacome, Ryan Peckner, Karen E. Christianson, Jacob D. Jaffe, Paul T. Spellman, Joseph E. Aslan, Chris Sander, Emek Demir. Causal interactions from proteomic profiles: Molecular data meet pathway knowledge
    100258 -- 0Rolf Egert, Jörg Daubert, Steve Marsh 0001, Max Mühlhäuser. Exploring energy grid resilience: The impact of data, prosumer awareness, and action
    100261 -- 0Arianna Mencattini, Alida Spalloni, Paola Casti, Maria Colomba Comes, Davide Di Giuseppe, Gianni Antonelli, Michele D'Orazio, Joanna Filippi, Francesca Corsi, Hervé Isambert, Corrado Di Natale, Patrizia Longone, Eugenio Martinelli. NeuriTES. Monitoring neurite changes through transfer entropy and semantic segmentation in bright-field time-lapse microscopy
    100262 -- 0Wiep van der Toorn, Djin-Ye Oh, Daniel Bourquain, Janine Michel, Eva Krause, Andreas Nitsche, Max von Kleist. An intra-host SARS-CoV-2 dynamics model to assess testing and quarantine strategies for incoming travelers, contact management, and de-isolation
    100263 -- 0Dominik Balazka, Dick Houtman, Bruno Lepri. How can big data shape the field of non-religion studies? And why does it matter?
    100264 -- 0Wiep van der Toorn, Djin-Ye Oh, Max von Kleist. COVIDStrategyCalculator: A software to assess testing and quarantine strategies for incoming travelers, contact management, and de-isolation
    100265 -- 0Fredric Narcross. Artificial nervous systems - A new paradigm for artificial intelligence
    100269 -- 0Jannis Born, David Beymer, Deepta Rajan, Adam Coy, Vandana V. Mukherjee, Matteo Manica, Prasanth Prasanna, Deddeh Ballah, Michal Guindy, Dorith Shaham, Pallav L. Shah, Emmanouil Karteris, Jan L. Robertus, Maria Gabrani, Michal Rosen-Zvi. On the role of artificial intelligence in medical imaging of COVID-19
    100270 -- 0Chinedu Anthony Anene, Faraz Khan, Findlay Bewicke-Copley, Eleni Maniati, Jun Wang 0052. ACSNI: An unsupervised machine-learning tool for prediction of tissue-specific pathway components using gene expression profiles
    100280 -- 0Szilvia Barsi, Bence Szalai. Modeling in systems biology: Causal understanding before prediction?
    100281 -- 0Joseph Geraci. Shattering cancer with quantum machine learning: A preview
    100282 -- 0Ixchel M. Faniel. Using collective curation to pay data forward in the life cycle
    100283 -- 0Sarah Callaghan, Xiaogang Ma, Denise Hills, J.-F. de La Beaujardiere, Helen Glaves. Peter Fox (1959-2021)
    100284 -- 0Catherine Gater. The homeschooling timetable blanket
    100287 -- 0Tessa Darbyshire, Sahar Farajnia. Special collections for hot topics in data science: Call for proposals

    Volume 2, Issue 5

    100242 -- 0Hangyu Du, Feng Chen, Hongfu Liu, Pengyu Hong. Network-based virus-host interaction prediction with application to SARS-CoV-2
    100243 -- 0Kaiqi Yang, Yifan Cao, Youtian Zhang, Shaoxun Fan, Ming Tang, Daniel Aberg, Babak Sadigh, Fei Zhou 0002. Self-supervised learning and prediction of microstructure evolution with convolutional recurrent neural networks
    100244 -- 0Erik Hoel. The overfitted brain: Dreams evolved to assist generalization
    100245 -- 0Seungyeul Yoo, Zhiao Shi, Bo Wen, Soon Jye Kho, Renke Pan, Hanying Feng, Hong Chen, Anders Carlsson, Patrik Edén, Weiping Ma, Michael L. Raymer, Ezekiel J. Maier, Zivana Tezak, Elaine Johanson, Denise Hinton, Henry Rodriguez, Jun Zhu, Emily Boja, Pei Wang, Bing Zhang 0003. A community effort to identify and correct mislabeled samples in proteogenomic studies
    100247 -- 0Sudhir Ghandikota, Mihika Sharma, Anil G. Jegga. Secondary analysis of transcriptomes of SARS-CoV-2 infection models to characterize COVID-19
    100248 -- 0Siavash Raeisi Dehkordi, Jens Luebeck, Vineet Bafna. FaNDOM: Fast nested distance-based seeding of optical maps
    100254 -- 0Geoff Engelstein. A visual probability analysis tool for board game designers
    100256 -- 0Luuk Loeff, Jacob W. J. Kerssemakers, Chirlmin Joo, Cees Dekker. AutoStepfinder: A fast and automated step detection method for single-molecule analysis
    100259 -- 0Faraz Faghri, Mike A. Nalls. Uncovering the complexities of biological structures with network-based learning: An application in SARS-CoV-2
    100260 -- 0Sharlee Climer. COVID-19 and the differential dilemma
    100266 -- 0Louis Allen, Jack Atkinson, Dinusha Jayasundara, Joan Cordiner, Peyman Z. Moghadam. Data visualization for Industry 4.0: A stepping-stone toward a digital future, bridging the gap between academia and industry
    100267 -- 0Daniel S. Katz, Morane Gruenpeter, Tom Honeyman. Taking a fresh look at FAIR for research software
    100268 -- 0Luke Y. Prince, Blake A. Richards. The overfitted brain hypothesis

    Volume 2, Issue 4

    100224 -- 0Debora Irene Christine, Mamello Thinyane. Citizen science as a data-based practice: A consideration of data justice
    100225 -- 0Lei Tao, Guang Chen, Ying Li. Machine learning discovery of high-temperature polymers
    100226 -- 0Abicumaran Uthamacumaran. A review of dynamical systems approaches for the detection of chaotic attractors in cancer networks
    100227 -- 0Robert L. Peach, Alexis Arnaudon, Julia A. Schmidt, Henry A. Palasciano, Nathan R. Bernier, Kim E. Jelfs, Sophia N. Yaliraki, Mauricio Barahona. HCGA: Highly comparative graph analysis for network phenotyping
    100228 -- 0Isotta Landi, Veronica Mandelli, Michael V. Lombardo. reval: A Python package to determine best clustering solutions with stability-based relative clustering validation
    100234 -- 0Bertalan Meskó. The Medical Futurist Institute: A vision about the technological future of healthcare
    100235 -- 0Mohammad Amin Omidbakhshfard, Ewelina M. Sokolowska, Valerio Di Vittori, Leonardo Perez de Souza, Anastasiya Kuhalskaya, Yariv Brotman, Saleh Alseekh, Alisdair R. Fernie, Aleksandra Skirycz. Arabidopsis thaliana
    100236 -- 0Kimberly A. Nicholas, Frida Villemoes, Edmund Aristid Lehsten, Mark V. Brady, Murray W. Scown. A harmonized and spatially explicit dataset from 16 million payments from the European Union's Common Agricultural Policy for 2015
    100237 -- 0Yifan Qian, Paul Expert, Pietro Panzarasa, Mauricio Barahona. Geometric graphs from data to aid classification tasks with Graph Convolutional Networks
    100238 -- 0Christopher Künneth, Arunkumar Chitteth Rajan, Huan Tran, Lihua Chen, Chiho Kim, Rampi Ramprasad. Polymer informatics with multi-task learning
    100239 -- 0Sarah Callaghan. Preview of machine learning the quantum-chemical properties of metal-organic frameworks for accelerated materials discovery
    100240 -- 0Sarah Callaghan, Tessa Darbyshire, Sahar Farajnia. Growing the pattern: Our first year
    100241 -- 0Sara Hooker. Moving beyond "algorithmic bias is a data problem"

    Volume 2, Issue 3

    100194 -- 0Oren Forkosh. Animal behavior and animal personality from a non-human perspective: Getting help from the machine
    100198 -- 0Andreas Kopf, Manfred Claassen. Latent representation learning in biology and translational medicine
    100204 -- 0Ali Farzanehfar, Florimond Houssiau, Yves-Alexandre de Montjoye. The risk of re-identification remains high even in country-scale location datasets
    100210 -- 0Sara Lafia, Werner Kuhn, Kelly Caylor, Libby Hemphill. Mapping research topics at multiple levels of detail
    100211 -- 0Ruoyu Zhang, Gurinder S. Atwal, Wei Keat Lim. Noise regularization removes correlation artifacts in single-cell RNA-seq data preprocessing
    100212 -- 0Daniele Ramazzotti, Fabrizio Angaroni, Davide Maspero, Carlo Gambacorti-Passerini, Marco Antoniotti, Alex Graudenzi, Rocco Piazza. VERSO: A comprehensive framework for the inference of robust phylogenies and the quantification of intra-host genomic diversity of viral samples
    100213 -- 0Daniel J. B. Clarke, Minji Jeon, Daniel J. Stein, Nicole Moiseyev, Eryk Kropiwnicki, Charles Dai, Zhuorui Xie, Megan L. Wojciechowicz, Skylar Litz, Jason Hom, John Erol Evangelista, Lucas Goldman, Serena Zhang, Christine Yoon, Tahmid Ahamed, Samantha Bhuiyan, Minxuan Cheng, Julie Karam, Kathleen M. Jagodnik, Ingrid Shu, Alexander Lachmann, Sam Ayling, Sherry L. Jenkins, Avi Ma'ayan. Appyters: Turning Jupyter Notebooks into data-driven web apps
    100220 -- 0Raj Dandekar, Shane G. Henderson, Hermanus M. Jansen, Joshua McDonald, Sarat Moka, Yoni Nazarathy, Christopher Rackauckas, Peter G. Taylor, Aapeli Vuorinen. Safe Blues: The case for virtual safe virus spread in the long-term fight against epidemics
    100221 -- 0Sarah Callaghan. Toward machine learning-enhanced high-throughput experimentation for chemistry
    100222 -- 0Daniel S. Katz, Morane Gruenpeter, Tom Honeyman. Taking a fresh look at FAIR for research software
    100223 -- 0Sarah Callaghan. Inclusion, complexity, and not being able to do it all alone

    Volume 2, Issue 2

    100176 -- 0Hernando Santamaría-García, Sandra Baez, Diego Mauricio Aponte-Canencio, Guido Orlando Pasciarello, Patricio Andrés Donnelly-Kehoe, Gabriel Maggiotti, Diana Matallana, Eugenia Hesse, Alejandra Neely, José Gabriel Zapata, Winston Chiong, Jonathan Levy, Jean Decety, Agustín Ibáñez. Uncovering social-contextual and individual mental health factors associated with violence via computational inference
    100179 -- 0Bin Hu, Zongyang Zhang, Jianwei Liu 0001, Yizhong Liu, Jiayuan Yin, Rongxing Lu, Xiaodong Lin. A comprehensive survey on smart contract construction and execution: paradigms, tools, and systems
    100187 -- 0Luis A. Briceno-Mena, Gokul Venugopalan, José A. Romagnoli, Christopher G. Arges. Machine learning for guiding high-temperature PEM fuel cells with greater power density
    100192 -- 0Ye Wei, Rama Srinivas Varanasi, Torsten Schwarz, Leonie Gomell, Huan Zhao, David J. Larson, Binhan Sun, Geng Liu, Hao Chen, Dierk Raabe, Baptiste Gault. Machine-learning-enhanced time-of-flight mass spectrometry analysis
    100193 -- 0Robert Ian Etheredge, Manfred Schartl, Alex Jordan. Decontextualized learning for interpretable hierarchical representations of visual patterns
    100195 -- 0Sooji Ha, Daniel J. Marchetto, Sameer Dharur, Omar Isaac Asensio. Topic classification of electric vehicle consumer experiences with transformer-based deep learning
    100196 -- 0DongDong Zhang, Changchang Yin, Katherine M. Hunold, Xiaoqian Jiang, Jeffrey M. Caterino, Ping Zhang 0016. An interpretable deep-learning model for early prediction of sepsis in the emergency department
    100197 -- 0Zihao Bo, Hui Qiao, Chong Tian, Yuchen Guo, Wuchao Li, Tiantian Liang, Dongxue Li, Dan Liao, Xianchun Zeng, Leilei Mei, Tianliang Shi, Bo Wu, Chao Huang, Lu Liu, Can Jin, Qiping Guo, Jun-Hai Yong, Feng Xu, Tijiang Zhang, Rongpin Wang, Qionghai Dai. Toward human intervention-free clinical diagnosis of intracranial aneurysm via deep neural network
    100205 -- 0Abeba Birhane. Algorithmic injustice: a relational ethics approach
    100206 -- 0Graham Lee, Sebastian Bacon, Ian Bush, Laura Fortunato, David Gavaghan, Thibault Lestang, Caroline Morton, Martin Robinson, Philippe Rocca-Serra, Susanna-Assunta Sansone, Helena Webb. Barely sufficient practices in scientific computing
    100207 -- 0Christopher Gutteridge. Data hygiene factors
    100208 -- 0Martin-Immanuel Bittner. Rethinking data and metadata in the age of machine intelligence

    Volume 2, Issue 12

    100364 -- 0Saaket Agrawal, Marcus D. R. Klarqvist, Connor Emdin, Aniruddh P. Patel, Manish D. Paranjpe, Patrick T. Ellinor, Anthony Philippakis, Kenney Ng, Puneet Batra, Amit V. Khera. Selection of 51 predictors from 13, 782 candidate multimodal features using machine learning improves coronary artery disease prediction
    100366 -- 0Amalie Dyda, Michael Purcell, Stephanie Curtis, Emma Field, Priyanka Pillai, Kieran Ricardo, Haotian Weng, Jessica C. Moore, Michael Hewett, Graham Williams, Colleen L. Lau. Differential privacy for public health data: An innovative tool to optimize information sharing while protecting data confidentiality
    100368 -- 0Nicholas J. Tierney, Karthik Ram. Common-sense approaches to sharing tabular data alongside publication
    100372 -- 0Evan Greene, Greg Finak, Leonard A. D'Amico, Nina Bhardwaj, Candice D. Church, Chihiro Morishima, Nirasha Ramchurren, Janis M. Taube, Paul T. Nghiem, Martin A. Cheever, Steven P. Fling, Raphael Gottardo. New interpretable machine-learning method for single-cell data reveals correlates of clinical response to cancer immunotherapy
    100373 -- 0Kevin R. Talley, Robert R. White, Nick Wunder, Matthew Eash, Marcus Schwarting, Dave Evenson, John D. Perkins, William Tumas, Kristin Munch, Caleb Phillips, Andriy Zakutayev. Research data infrastructure for high-throughput experimental materials science
    100374 -- 0Sharlee Climer. Connecting the dots: The boons and banes of network modeling
    100381 -- 0Arthur Gwagwa, Emre Kazim, Patti Kachidza, Airlie Hilliard, Kathleen Siminyu, Matthew Smith, John Shawe-Taylor. Road map for research on responsible artificial intelligence for development (AI4D) in African countries: The case study of agriculture
    100383 -- 0Artur Yakimovich, Anaël Beaugnon, Yi Huang, Elif Ozkirimli. Labels in a haystack: Approaches beyond supervised learning in biomedical applications
    100384 -- 0Beibei Ru, Peng Jiang. Discover immunotherapy biomarkers from single-cell cytometry data
    100386 -- 0A. E. Boyd. Intersectionality and reflexivity - decolonizing methodologies for the data science process
    100389 -- 0Tingyi Wanyan, Hossein Honarvar, Suraj K. Jaladanki, Chengxi Zang, Nidhi Naik, Sulaiman Somani, Jessica K. De Freitas, Ishan Paranjpe, Akhil Vaid, Jing Zhang, Riccardo Miotto, Zhangyang Wang, Girish N. Nadkarni, Marinka Zitnik, Ariful Azad, Fei Wang 0001, Ying Ding 0001, Benjamin S. Glicksberg. Contrastive learning improves critical event prediction in COVID-19 patients
    100390 -- 0Ding Ruan, Shuyi Ji, Chenggang Yan, JunJie Zhu, Xibin Zhao, Yuedong Yang, Yue Gao 0002, Changqing Zou, Qionghai Dai. Exploring complex and heterogeneous correlations on hypergraph for the prediction of drug-target interactions
    100393 -- 0Monica Scannapieco, Antonino Virgillito. How to be responsible in all the steps of a data science pipeline: The case of the Italian public sector
    100394 -- 0Roaa Al Feel. Meta-learning for fake news detection surrounding the Syrian war: An interview with co-author Roaa Al Feel
    100397 -- 0James Nevin, Michael Lees, Paul Groth. The non-linear impact of data handling on network diffusion models
    100411 -- 0Matthew K. Horton, Rachel Woods-Robinson. Addressing the critical need for open experimental databases in materials science

    Volume 2, Issue 11

    100335 -- 0Naomi Jacobs, Steve Brewer, Peter J. Craigon, Jeremy G. Frey, Anabel Gutierrez Mendoza, Samantha Kanza, Louise Manning, Samuel Adam Munday, Simon Pearson, Justin Sacks. Considering the ethical implications of digital collaboration in the Food Sector
    100336 -- 0Amandalynne Paullada, Inioluwa Deborah Raji, Emily M. Bender, Emily Denton, Alex Hanna. Data and its (dis)contents: A survey of dataset development and use in machine learning research
    100352 -- 0Jean-Luc Boevé, Rudi Giot. Chemical composition: Hearing insect defensive volatiles
    100353 -- 0Wlodzislaw Duch. Memetics and neural models of conspiracy theories
    100361 -- 0Shubham Pandey, Jiaxing Qu, Vladan Stevanovic, Peter C. St. John, Prashun Gorai. Predicting energy and stability of known and hypothetical crystals using graph neural network
    100363 -- 0Caroline M. Gevaert, Mary Carman, Benjamin Rosman, Yola Georgiadou, Robert Soden. Fairness and accountability of AI in disaster risk management: Opportunities and challenges
    100365 -- 0Johannes Kruse, Benjamin Schäfer 0001, Dirk Witthaut. Revealing drivers and risks for power grid frequency stability with explainable AI
    100367 -- 0Parker B. Edwards, Kristen Skruber, Nikola Milicevic, James B. Heidings, Tracy-Ann Read, Peter Bubenik, Eric A. Vitriol. TDAExplore: Quantitative analysis of fluorescence microscopy images through topology-based machine learning
    100369 -- 0Fatima K. Abu Salem, Roaa Al Feel, Shady Elbassuoni, Hiyam Ghannam, Mohamad Jaber 0001, May Farah. Meta-learning for fake news detection surrounding the Syrian war
    100370 -- 0Anusuriya Devaraju, Robert Huber. An automated solution for measuring the progress toward FAIR research data
    100382 -- 0Christopher J. Bartel. Data-centric approach to improve machine learning models for inorganic materials
    100385 -- 0Claudia Bauzer Medeiros. The hidden dimension of open science: "Peopleware"
    100387 -- 0J. Q. Fan, Y. L. Feng, S. H. Ma. Rapid personalized chemotherapy recommendation for cancer patients: An interview with Shaohua Ma and two members of his group
    100388 -- 0Nicholas Vincent, Brent J. Hecht. Preview of "Data and its (dis)contents: A survey of dataset development and use in machine learning research"

    Volume 2, Issue 10

    100324 -- 0Hugh P. Shanahan, Nancy Hoebelheinrich, Angus Whyte. Progress toward a comprehensive teaching approach to the FAIR data principles
    100328 -- 0Kexin Huang, Cao Xiao, Lucas M. Glass, Cathy W. Critchlow, Greg Gibson, Jimeng Sun. Machine learning applications for therapeutic tasks with genomics data
    100334 -- 0Thomas Ostermann, Jan Philipp Röer, Martin J. Tomasik. Digitalization in psychology: A bit of challenge and a byte of success
    100346 -- 0Diego Calvanese, Davide Lanti, Tarcisio Mendes de Farias, Alessandro Mosca 0001, Guohui Xiao 0001. Ontop
    100347 -- 0Natalia Norori, Qiyang Hu, Florence Marcelle Aellen, Francesca Dalia Faraci, Athina Tzovara. Addressing bias in big data and AI for health care: A call for open science
    100348 -- 0Christoph Daube, Tian Xu, Jiayu Zhan, Andrew Webb, Robin A. A. Ince, Oliver G. B. Garrod, Philippe G. Schyns. Grounding deep neural network predictions of human categorization behavior in understandable functional features: The case of face identity
    100349 -- 0Cláudia P. Ferreira, Diego Marcondes, Mariana P. Melo, Sérgio M. Oliva, Cláudia M. Peixoto, Pedro S. Peixoto. A snapshot of a pandemic: The interplay between social isolation and COVID-19 dynamics in Brazil
    100350 -- 0Yajing Zheng, Shanshan Jia, Zhaofei Yu, Jian K. Liu, Tiejun Huang. Unraveling neural coding of dynamic natural visual scenes via convolutional recurrent neural networks
    100351 -- 0Nanditha Mallesh, Max Zhao, Lisa Meintker, Alexander Höllein, Franz Elsner, Hannes Lüling, Torsten Haferlach, Wolfgang Kern, Jörg Westermann, Peter Brossart, Stefan W. Krause, Peter M. Krawitz. Knowledge transfer to enhance the performance of deep learning models for automated classification of B cell neoplasms
    100359 -- 0Gordon S. Blair. Digital twins of the natural environment
    100360 -- 0Jiaqi Fan, Yilin Feng, Yifan Cheng, Zitian Wang, Haoran Zhao, Edgar A. Galan, Quanxing Liao, Shuzhong Cui, Weijie Zhang, Shaohua Ma. Multiplex gene quantification as digital markers for extremely rapid evaluation of chemo-drug sensitivity
    100362 -- 0Martin Mullins, Christopher P. Holland, Martin Cunneen. Creating ethics guidelines for artificial intelligence and big data analytics customers: The case of the consumer European insurance market

    Volume 2, Issue 1

    100153 -- 0Anthony Federico, Stefano Monti. Contextualized Protein-Protein Interactions
    100155 -- 0Justin T. Reese, Deepak R. Unni, Tiffany J. Callahan, Luca Cappelletti, Vida Ravanmehr, Seth Carbon, Kent A. Shefchek, Benjamin M. Good, James P. Balhoff, Tommaso Fontana, Hannah Blau, Nicolas Matentzoglu, Nomi L. Harris, Monica C. Munoz-Torres, Melissa A. Haendel, Peter N. Robinson, Marcin P. Joachimiak, Christopher J. Mungall. KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 Response
    100156 -- 0Gordon S. Blair, Richard Bassett, Lucy Bastin, Lindsay Beevers, Maribel Isabel Borrajo, Mike Brown, Sarah L. Dance, Ada Dionescu, Liz Edwards, Maria Angela Ferrario, Rob Fraser, Harriet Fraser, Simon Gardner, Peter A. Henrys, Tony Hey, Stuart Homann, Chantal Huijbers, James Hutchison, Phil Jonathan, Rob Lamb, Sophie Laurie, Amber Leeson, David Leslie, Malcolm McMillan, Vatsala Nundloll, Oluwole Oyebamiji, Jordan Phillipson, Vicky Pope, Rachel Prudden, Stefan Reis, Maria Salama, Faiza Samreen, Dino Sejdinovic, Will Simm, Roger Street, Lauren Thornton, Ross Towe, Joshua Vande Hey, Massimo Vieno, Joanne A. Waller, John Watkins. The Role of Digital Technologies in Responding to the Grand Challenges of the Natural Environment: The Windermere Accord
    100162 -- 0Samantha Kanza, Colin Leonard Bird, Mahesan Niranjan, William McNeill, Jeremy Graham Frey. +
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    100180 -- 0Helena Cousijn, Ricarda Braukmann, Martin Fenner, Christine Ferguson, René van Horik, Rachael Lammey, Alice Meadows, Simon C. Lambert. Connected Research: The Potential of the PID Graph
    100188 -- 0Allison Shapiro, Nicole Marinsek, Ieuan Clay, Benjamin Bradshaw, Ernesto Ramirez, Jae Min, Andrew Trister, Yuedong Wang, Tim Althoff, Luca Foschini. Characterizing COVID-19 and Influenza Illnesses in the Real World via Person-Generated Health Data
    100189 -- 0Sarah Callaghan. Data, Inspiration, and the New Year
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    100191 -- 0Kazuhiro Hayashi. How Could COVID-19 Change Scholarly Communication to a New Normal in the Open Science Paradigm?
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