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ORCIDPatterns, Volume 2
Volume 2, Number 1, January 2021
- Anthony Federico
, Stefano Monti:
Contextualized Protein-Protein Interactions. 100153
- Justin 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. 100155
- Gordon 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 K. 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. 100156 - Samantha Kanza, Colin Leonard Bird, Mahesan Niranjan, William McNeill, Jeremy Graham Frey:
The AI for Scientific Discovery Network+. 100162
- Joris Dehler-Holland, Kira Schumacher, Wolf Fichtner:
Topic Modeling Uncovers Shifts in Media Framing of the German Renewable Energy Act. 100169
- Aleix Boquet-Pujadas, Jean-Christophe Olivo-Marin, Nancy Guillen:
Bioimage Analysis and Cell Motility. 100170
- Eryk Salvaggio:
The Bird Is Not the Migration Data: Insights from an Artwork Exploring Machine-Animal Collaboration. 100175
- Tom J. Clement, Erik B. Baalhuis, Bas Teusink, Frank J. Bruggeman, Robert Planqué, Daan H. de Groot:
Unlocking Elementary Conversion Modes: ecmtool Unveils All Capabilities of Metabolic Networks. 100177
- Adriana Tomic, Ivan Tomic, Levi Waldron, Ludwig Geistlinger, Max Kuhn, Rachel L. Spreng, Lindsay C. Dahora, Kelly E. Seaton, Georgia D. Tomaras, Jennifer Hill, Niharika A. Duggal, Ross D. Pollock, Norman R. Lazarus, Stephen D. R. Harridge, Janet M. Lord, Purvesh Khatri, Andrew J. Pollard, Mark M. Davis:
SIMON: Open-Source Knowledge Discovery Platform. 100178
- Helena 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. 100180
- Allison 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. 100188 - Sarah Callaghan:
Data, Inspiration, and the New Year. 100189
- Priyanka Pillai:
How Do Data Bolster Pandemic Preparedness and Response? How Do We Improve Data and Systems to Be Better Prepared? 100190 - Kazuhiro Hayashi:
How Could COVID-19 Change Scholarly Communication to a New Normal in the Open Science Paradigm? 100191
Volume 2, Number 2, February 2021
- Hernando 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. 100176
- Bin Hu, Zongyang Zhang, Jianwei Liu, Yizhong Liu, Jiayuan Yin, Rongxing Lu, Xiaodong Lin:
A comprehensive survey on smart contract construction and execution: paradigms, tools, and systems. 100179
- Luis A. Briceno-Mena, Gokul Venugopalan, José A. Romagnoli, Christopher G. Arges:
Machine learning for guiding high-temperature PEM fuel cells with greater power density. 100187 - Ye 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. 100192 - Robert Ian Etheredge, Manfred Schartl, Alex Jordan:
Decontextualized learning for interpretable hierarchical representations of visual patterns. 100193 - Sooji Ha, Daniel J. Marchetto, Sameer Dharur, Omar Isaac Asensio:
Topic classification of electric vehicle consumer experiences with transformer-based deep learning. 100195 - Dongdong Zhang, Changchang Yin, Katherine M. Hunold, Xiaoqian Jiang, Jeffrey M. Caterino, Ping Zhang:
An interpretable deep-learning model for early prediction of sepsis in the emergency department. 100196 - Zihao 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. 100197
- Abeba Birhane:
Algorithmic injustice: a relational ethics approach. 100205 - Graham 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. 100206 - Christopher Gutteridge:
Data hygiene factors. 100207 - Martin-Immanuel Bittner:
Rethinking data and metadata in the age of machine intelligence. 100208
Volume 2, Number 3, March 2021
- Oren Forkosh:
Animal behavior and animal personality from a non-human perspective: Getting help from the machine. 100194
- Andreas Kopf, Manfred Claassen:
Latent representation learning in biology and translational medicine. 100198
- Ali Farzanehfar, Florimond Houssiau, Yves-Alexandre de Montjoye:
The risk of re-identification remains high even in country-scale location datasets. 100204 - Sara Lafia, Werner Kuhn, Kelly K. Caylor, Libby Hemphill:
Mapping research topics at multiple levels of detail. 100210 - Ruoyu Zhang, Gurinder S. Atwal, Wei Keat Lim:
Noise regularization removes correlation artifacts in single-cell RNA-seq data preprocessing. 100211 - Daniele 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. 100212 - Daniel 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. 100213
- Raj Dandekar, Shane G. Henderson, Hermanus M. Jansen, Joshua McDonald, Sarat Babu 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. 100220
- Sarah Callaghan:
Toward machine learning-enhanced high-throughput experimentation for chemistry. 100221
- Daniel S. Katz, Morane Gruenpeter, Tom Honeyman:
Taking a fresh look at FAIR for research software. 100222 - Sarah Callaghan:
Inclusion, complexity, and not being able to do it all alone. 100223
Volume 2, Number 4, April 2021
- Debora Irene Christine, Mamello Thinyane:
Citizen science as a data-based practice: A consideration of data justice. 100224 - Lei Tao, Guang Chen, Ying Li:
Machine learning discovery of high-temperature polymers. 100225
- Abicumaran Uthamacumaran:
A review of dynamical systems approaches for the detection of chaotic attractors in cancer networks. 100226
- Robert 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. 100227 - Isotta Landi, Veronica Mandelli, Michael V. Lombardo:
reval: A Python package to determine best clustering solutions with stability-based relative clustering validation. 100228
- Bertalan Meskó:
The Medical Futurist Institute: A vision about the technological future of healthcare. 100234
- Mohammad Amin Omidbakhshfard, Ewelina M. Sokolowska, Valerio Di Vittori, Leonardo Perez de Souza, Anastasiya Kuhalskaya, Yariv Brotman, Saleh Alseekh, Alisdair R. Fernie, Aleksandra Skirycz:
Multi-omics analysis of early leaf development in Arabidopsis thaliana. 100235 - Kimberly 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. 100236
- Yifan Qian, Paul Expert, Pietro Panzarasa, Mauricio Barahona:
Geometric graphs from data to aid classification tasks with Graph Convolutional Networks. 100237 - Christopher Künneth, Arunkumar Chitteth Rajan, Huan Tran, Lihua Chen, Chiho Kim, Rampi Ramprasad:
Polymer informatics with multi-task learning. 100238
- Sarah Callaghan:
Preview of machine learning the quantum-chemical properties of metal-organic frameworks for accelerated materials discovery. 100239 - Sarah Callaghan, Tessa Darbyshire, Sahar Farajnia:
Growing the pattern: Our first year. 100240
- Sara Hooker:
Moving beyond "algorithmic bias is a data problem". 100241
Volume 2, Number 5, May 2021
- Hangyu Du, Feng Chen, Hongfu Liu, Pengyu Hong:
Network-based virus-host interaction prediction with application to SARS-CoV-2. 100242 - Kaiqi Yang, Yifan Cao, Youtian Zhang, Shaoxun Fan, Ming Tang, Daniel Aberg, Babak Sadigh, Fei Zhou:
Self-supervised learning and prediction of microstructure evolution with convolutional recurrent neural networks. 100243
- Erik Hoel:
The overfitted brain: Dreams evolved to assist generalization. 100244
- Seungyeul 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:
A community effort to identify and correct mislabeled samples in proteogenomic studies. 100245 - Sudhir Ghandikota, Mihika Sharma, Anil G. Jegga:
Secondary analysis of transcriptomes of SARS-CoV-2 infection models to characterize COVID-19. 100247
- Siavash Raeisi Dehkordi, Jens Luebeck, Vineet Bafna:
FaNDOM: Fast nested distance-based seeding of optical maps. 100248
- Geoff Engelstein:
A visual probability analysis tool for board game designers. 100254
- Luuk Loeff, Jacob W. J. Kerssemakers, Chirlmin Joo, Cees Dekker:
AutoStepfinder: A fast and automated step detection method for single-molecule analysis. 100256 - Faraz Faghri, Mike A. Nalls:
Uncovering the complexities of biological structures with network-based learning: An application in SARS-CoV-2. 100259 - Sharlee Climer:
COVID-19 and the differential dilemma. 100260
- Louis Allen, Jack Atkinson, Dinusha Jayasundara, Joan L. Cordiner, Peyman Z. Moghadam:
Data visualization for Industry 4.0: A stepping-stone toward a digital future, bridging the gap between academia and industry. 100266
- Daniel S. Katz, Morane Gruenpeter, Tom Honeyman:
Taking a fresh look at FAIR for research software. 100267 - Luke Y. Prince, Blake A. Richards:
The overfitted brain hypothesis. 100268
Volume 2, Number 6, June 2021
- Richard 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. 100246
- Milad Alshomary, Henning Wachsmuth:
Toward audience-aware argument generation. 100253
- Karthik Murugadoss, Ajit Rajasekharan, Bradley A. 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. 100255 - Özgün 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. 100257
- Rolf Egert, Jörg Daubert, Steve Marsh, Max Mühlhäuser:
Exploring energy grid resilience: The impact of data, prosumer awareness, and action. 100258
- Arianna 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. 100261 - Wiep 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. 100262
- Dominik Balazka, Dick Houtman, Bruno Lepri:
How can big data shape the field of non-religion studies? And why does it matter? 100263
- Wiep 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. 100264
- Fredric Narcross:
Artificial nervous systems - A new paradigm for artificial intelligence. 100265
- Jannis 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. 100269
- Chinedu Anthony Anene, Faraz Khan, Findlay Bewicke-Copley, Eleni Maniati, Jun Wang:
ACSNI: An unsupervised machine-learning tool for prediction of tissue-specific pathway components using gene expression profiles. 100270
- Szilvia Barsi, Bence Szalai:
Modeling in systems biology: Causal understanding before prediction? 100280 - Joseph Geraci:
Shattering cancer with quantum machine learning: A preview. 100281
- Ixchel M. Faniel:
Using collective curation to pay data forward in the life cycle. 100282
- Sarah Callaghan, Xiaogang Ma, Denise Hills, J.-F. de La Beaujardiere, Helen M. Glaves:
Peter Fox (1959-2021). 100283
- Catherine Gater:
The homeschooling timetable blanket. 100284 - Tessa Darbyshire, Sahar Farajnia:
Special collections for hot topics in data science: Call for proposals. 100287
Volume 2, Number 7, July 2021
- Joonas Jälkö, Eemil Lagerspetz, Jari Haukka, Sasu Tarkoma, Antti Honkela, Samuel Kaski:
Privacy-preserving data sharing via probabilistic modeling. 100271
- Tom Koch:
Welcome to the revolution: COVID-19 and the democratization of spatial-temporal data. 100272
- Petar Velickovic, Charles Blundell:
Neural algorithmic reasoning. 100273
- Felipe 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. 100274 - Elizabeth J. Kautz:
Predicting material microstructure evolution via data-driven machine learning. 100285
- Simone Romeni, Davide Zoccolan, Silvestro Micera:
A machine learning framework to optimize optic nerve electrical stimulation for vision restoration. 100286 - Matthew 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. 100288 - Xianghao 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. 100289 - Vineeth 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. 100290 - Alauddin Ahmed, Donald J. Siegel:
Predicting hydrogen storage in MOFs via machine learning. 100291 - Siming Zheng, Chunyang Wang, Xin Yuan, Huolin L. Xin:
Super-compression of large electron microscopy time series by deep compressive sensing learning. 100292 - Jann 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. 100301 - David Haslacher, Khaled Nasr, Surjo R. Soekadar:
Advancing sensory neuroprosthetics using artificial brain networks. 100304 - Lawson T. Glasby, Peyman Z. Moghadam:
Hydrogen storage in MOFs: Machine learning for finding a needle in a haystack. 100305
Volume 2, Number 8, August 2021
- Óscar Lapuente-Santana, Maisa van Genderen, Peter A. J. Hilbers, Francesca Finotello, Federica Eduati:
Interpretable systems biomarkers predict response to immune-checkpoint inhibitors. 100293 - Xiaopeng Tang, Kailong Liu, Kang Li, Widanalage Dhammika Widanage, Emma Kendrick, Furong Gao:
Recovering large-scale battery aging dataset with machine learning. 100302 - Xiangning 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. 100303 - Tanujit 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. 100306 - Shuting Jin, Zhangming Niu, Changzhi Jiang, Wei Huang, Feng Xia, Xurui Jin, Xiangrong Liu, Xiangxiang Zeng:
HeTDR: Drug repositioning based on heterogeneous networks and text mining. 100307
- Biplav Srivastava:
Did chatbots miss their "Apollo Moment"? Potential, gaps, and lessons from using collaboration assistants during COVID-19. 100308
- Jing Gao:
Bias-variance decomposition of absolute errors for diagnosing regression models of continuous data. 100309
- Jon Zelner, Julien Riou, Ruth Etzioni, Andrew Gelman:
Accounting for uncertainty during a pandemic. 100310
- Fangfang 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. 100311
- Kien 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. 100312 - Justin Guinney:
Preview of "Interpretable systems biomarkers predict response to immune-checkpoint inhibitors". 100313
- Meleik 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. 100315
- Jorge Montalvo Arvizu, Lachlan Robert Mason, John Moriarty:
Reinforcing the role of competition platforms. 100326
- Anatola Araba Pabst:
Afro Algorithms: Imagining new possibilities for race, technology, and the future through animated storytelling. 100327
- Jannis 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. 100330
- Jeremy G. Frey:
Fair enough: A sideways look. 100331
Volume 2, Number 9, September 2021
- Emre Kazim, Adriano Soares Koshiyama:
A high-level overview of AI ethics. 100314
- Prithviraj Ammanabrolu, Mark O. Riedl:
Situated language learning via interactive narratives. 100316
- Yan Liu, Xiaoqi Wei, Wenfang Chen, Lianyu Hu, Zengyou He:
A graph-traversal approach to identify influential nodes in a network. 100321
- Jeremy Leipzig, Daniel Nüst, Charles Tapley Hoyt, Karthik Ram, Jane Greenberg:
The role of metadata in reproducible computational research. 100322
- Farid Nakhle, Antoine Harfouche:
Ready, Steady, Go AI: A practical tutorial on fundamentals of artificial intelligence and its applications in phenomics image analysis. 100323
- A. 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. 100325
- Abhijit 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. 100329 - Nomenjanahary 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. 100332 - Tianyu 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. 100333
- Jessica 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. 100337 - Md Sazzad Hosen:
A quick battery charging curve prediction by artificial neural network. 100338
- Keith G. Jeffery:
FAIR, open, and free does not mean no restrictions. 100339
- 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. 100340
Volume 2, Number 10, October 2021
- Hugh P. Shanahan, Nancy Hoebelheinrich, Angus Whyte:
Progress toward a comprehensive teaching approach to the FAIR data principles. 100324
- Kexin Huang, Cao Xiao, Lucas M. Glass, Cathy W. Critchlow, Greg Gibson, Jimeng Sun:
Machine learning applications for therapeutic tasks with genomics data. 100328
- Thomas Ostermann, Jan Philipp Röer, Martin J. Tomasik:
Digitalization in psychology: A bit of challenge and a byte of success. 100334
- Diego Calvanese, Davide Lanti, Tarcisio Mendes de Farias, Alessandro Mosca, Guohui Xiao:
Accessing scientific data through knowledge graphs with Ontop. 100346
- Natalia 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. 100347
- Christoph 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. 100348 - Cláudia Pio 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. 100349 - Yajing Zheng, Shanshan Jia, Zhaofei Yu, Jian K. Liu, Tiejun Huang:
Unraveling neural coding of dynamic natural visual scenes via convolutional recurrent neural networks. 100350 - Nanditha 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. 100351 - Gordon S. Blair:
Digital twins of the natural environment. 100359 - Jiaqi 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. 100360 - Martin 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. 100362
Volume 2, Number 11, November 2021
- Naomi 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. 100335
- Amandalynne 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. 100336
- Jean-Luc Boevé, Rudi Giot:
Chemical composition: Hearing insect defensive volatiles. 100352
- Wlodzislaw Duch:
Memetics and neural models of conspiracy theories. 100353
- Shubham Pandey, Jiaxing Qu, Vladan Stevanovic, Peter C. St. John, Prashun Gorai:
Predicting energy and stability of known and hypothetical crystals using graph neural network. 100361
- Caroline M. Gevaert, Mary Carman, Benjamin Rosman, Yola Georgiadou, Robert Soden:
Fairness and accountability of AI in disaster risk management: Opportunities and challenges. 100363
- Johannes Kruse, Benjamin Schäfer, Dirk Witthaut:
Revealing drivers and risks for power grid frequency stability with explainable AI. 100365 - Parker 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. 100367 - Fatima K. Abu Salem, Roaa Al Feel, Shady Elbassuoni, Hiyam Ghannam, Mohamad Jaber, May Farah:
Meta-learning for fake news detection surrounding the Syrian war. 100369 - Anusuriya Devaraju, Robert Huber:
An automated solution for measuring the progress toward FAIR research data. 100370 - Christopher J. Bartel:
Data-centric approach to improve machine learning models for inorganic materials. 100382
- Claudia Bauzer Medeiros:
The hidden dimension of open science: "Peopleware". 100385
- J. 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. 100387 - Nicholas Vincent, Brent J. Hecht:
Preview of "Data and its (dis)contents: A survey of dataset development and use in machine learning research". 100388
Volume 2, Number 12, December 2021
- Saaket Agrawal, Marcus D. R. Klarqvist, Connor Emdin, Aniruddh P. Patel, Manish D. Paranjpe, Patrick T. Ellinor, Anthony A. 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. 100364
- Amalie Dyda, Michael Purcell, Stephanie Jane 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. 100366 - Nicholas J. Tierney, Karthik Ram:
Common-sense approaches to sharing tabular data alongside publication. 100368
- Evan 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. 100372
- Kevin 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. 100373
- Sharlee Climer:
Connecting the dots: The boons and banes of network modeling. 100374 - Arthur 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. 100381
- Artur Yakimovich, Anaël Beaugnon, Yi Huang, Elif Ozkirimli:
Labels in a haystack: Approaches beyond supervised learning in biomedical applications. 100383 - Beibei Ru, Peng Jiang:
Discover immunotherapy biomarkers from single-cell cytometry data. 100384
- Alicia E. Boyd:
Intersectionality and reflexivity - decolonizing methodologies for the data science process. 100386
- Tingyi 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, Ying Ding, Benjamin S. Glicksberg:
Contrastive learning improves critical event prediction in COVID-19 patients. 100389 - Ding Ruan, Shuyi Ji, Chenggang Yan, Junjie Zhu, Xibin Zhao, Yuedong Yang, Yue Gao, Changqing Zou, Qionghai Dai:
Exploring complex and heterogeneous correlations on hypergraph for the prediction of drug-target interactions. 100390
- Monica Scannapieco, Antonino Virgillito:
How to be responsible in all the steps of a data science pipeline: The case of the Italian public sector. 100393
- Roaa Al Feel:
Meta-learning for fake news detection surrounding the Syrian war: An interview with co-author Roaa Al Feel. 100394
- James Nevin, Michael Lees, Paul Groth:
The non-linear impact of data handling on network diffusion models. 100397 - Matthew K. Horton, Rachel Woods-Robinson:
Addressing the critical need for open experimental databases in materials science. 100411
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