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ORCIDFrontiers in Big Data, Volume 5
Volume 5, 2022
- Ruixiang Tang
, Ninghao Liu, Fan Yang, Na Zou, Xia Hu:
Defense Against Explanation Manipulation. 704203 - Yang Ren, Dezhi Wu, Avineet Kumar Singh, Erin Kasson, Ming Huang, Patricia A. Cavazos-Rehg:
Automated Detection of Vaping-Related Tweets on Twitter During the 2019 EVALI Outbreak Using Machine Learning Classification. 770585 - Kai Fan, Ranil Dhammapala, Kyle Ira Harrington, Ryan Lamastro, Brian Lamb, Yunha Lee:
Development of a Machine Learning Approach for Local-Scale Ozone Forecasting: Application to Kennewick, WA. 781309 - Abhijin Adiga, Nicholas Palmer, Young Yun Baek, Henning S. Mortveit, S. S. Ravi:
Network Models and Simulation Analytics for Multi-scale Dynamics of Biological Invasions. 796897 - Nithin Govindarajan, Nico Vervliet, Lieven De Lathauwer:
Regression and Classification With Spline-Based Separable Expansions. 688496 - Alexander J. Freund, Philippe J. Giabbanelli:
An Experimental Study on the Scalability of Recent Node Centrality Metrics in Sparse Complex Networks. 797584 - Pratik Jawahar, Thea Aarrestad, Nadezda Chernyavskaya, Maurizio Pierini, Kinga Anna Wozniak, Jennifer Ngadiuba, Javier M. Duarte, Steven Tsan:
Improving Variational Autoencoders for New Physics Detection at the LHC With Normalizing Flows. 803685 - Shenggang Hu, Jabir Alshehabi Al-Ani, Karen D. Hughes, Nicole Denier, Alla Konnikov, Lei Ding, Jinhan Xie, Yang Hu, Monideepa Tarafdar, Bei Jiang, Linglong Kong, Hongsheng Dai:
Balancing Gender Bias in Job Advertisements With Text-Level Bias Mitigation. 805713 - Maryam Kiashemshaki, Zhiren Huang, Jari Saramäki:
Mobility Signatures: A Tool for Characterizing Cities Using Intercity Mobility Flows. 822889 - Domenico Talia, Paolo Trunfio, Jesús Carretero, Javier García-Blas:
Editorial: Towards Exascale Solutions for Big Data Computing. 838097 - Petter Törnberg, Eckehard Olbrich, Justus Uitermark:
Editorial: The Computational Analysis of Cultural Conflicts. 840584 - Surya Nepal, Ryan K. L. Ko, Marthie Grobler, L. Jean Camp:
Editorial: Human-Centric Security and Privacy. 848058 - Yu-Dong Zhang, Shuai Li, Carlo Cattani, Shui-Hua Wang:
Editorial: Advanced Deep Learning Methods for Biomedical Information Analysis (ADLMBIA). 863060 - Priyesh Vijayan, Yash Chandak, Mitesh M. Khapra, Srinivasan Parthasarathy, Balaraman Ravindran:
Scaling Graph Propagation Kernels for Predictive Learning. 616617 - Gilad Shapira, Mira Marcus-Kalish, Oren Amsalem, Werner Van Geit, Idan Segev, David M. Steinberg:
Statistical Emulation of Neural Simulators: Application to Neocortical L2/3 Large Basket Cells. 789962 - Elizabeth M. Pierce:
A Balanced Scorecard for Maximizing Data Performance. 821103 - Lakshmi Babu Saheer, Ajay Bhasy, Mahdi Maktabdar Oghaz, Javad Zarrin:
Data-Driven Framework for Understanding and Predicting Air Quality in Urban Areas. 822573 - Luís Mendes, Joana Monjardino, Francisco Ferreira:
Air Quality Forecast by Statistical Methods: Application to Portugal and Macao. 826517 - Abdelrahman Elabd, Vesal Razavimaleki, Shi-Yu Huang, Javier M. Duarte, Markus Atkinson, Gage DeZoort, Peter Elmer, Scott Hauck, Jin-Xuan Hu, Shih-Chieh Hsu, Bo-Cheng Lai, Mark S. Neubauer, Isobel Ojalvo, Savannah Thais, Matthew Trahms:
Graph Neural Networks for Charged Particle Tracking on FPGAs. 828666 - Linus W. Dietz, Mete Sertkan, Saadi Myftija, Sameera Thimbiri Palage, Julia Neidhardt, Wolfgang Wörndl:
A Comparative Study of Data-Driven Models for Travel Destination Characterization. 829939 - Yi Zhou Ding:
Public Service and Public Happiness: Inferences From Big Weibo Datasets for 31 Chinese Provincial Governments. 833703 - Shubham Rohal, Yue Zhang, Carlos Ruiz, Shijia Pan:
AutoLoc: Autonomous Sensor Location Configuration via Cross Modal Sensing. 835949 - Phuong N. Chau, Rasa Zalakeviciute, Ilias Thomas, Yves Rybarczyk:
Deep Learning Approach for Assessing Air Quality During COVID-19 Lockdown in Quito. 842455 - Ayushi Kumar, Avimanyou Vatsa:
Untangling Classification Methods for Melanoma Skin Cancer. 848614 - Lisa Ehrlinger, Wolfram Wöß:
A Survey of Data Quality Measurement and Monitoring Tools. 850611 - Ghofrane Merhbene, Sukanya Nath, Alexandre R. Puttick, Mascha Kurpicz-Briki:
BurnoutEnsemble: Augmented Intelligence to Detect Indications for Burnout in Clinical Psychology. 863100 - Barbara I. Mahler:
Contagion Dynamics for Manifold Learning. 668356 - Qi Zuo, Jiaman Du, Baofeng Di, Junrong Zhou, Lixia Zhang, Hongxia Liu, Xiaoyu Hou:
Research on Spatial-temporal Spread and Risk Profile of the COVID-19 Epidemic Based on Mobile Phone Trajectory Data. 705698 - Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier M. Duarte, Philip C. Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller-Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Dongning Guo, Kyle J. Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belinavon Krosigk, Shen Wang, Thomas K. Warburton:
Applications and Techniques for Fast Machine Learning in Science. 787421 - Muzhe Guo, Long Nguyen, Hongfei Du, Fang Jin:
When Patients Recover From COVID-19: Data-Driven Insights From Wearable Technologies. 801998 - Yangxin Huang, Jiaqing Chen, Lan Xu, Nian-Sheng Tang:
Bayesian Joint Modeling of Multivariate Longitudinal and Survival Data With an Application to Diabetes Study. 812725 - Emil Rijcken, Uzay Kaymak, Floortje Scheepers, Pablo Mosteiro, Kalliopi Zervanou, Marco Spruit:
Topic Modeling for Interpretable Text Classification From EHRs. 846930 - Qian Hu, Thahir Mohamed, Wei Xiao, Xiyao Ma, Xibin Gao, Zheng Gao, Radhika Arava, Mohamed Abdelhady:
FROST: Fallback Voice Apps Recommendation for Unhandled Voice Commands in Intelligent Personal Assistants. 867251 - Renee Garett, Sean D. Young:
Ethical Views on Sharing Digital Data for Public Health Surveillance: Analysis of Survey Data Among Patients. 871236 - Ahmed AbuHalimeh:
Improving Data Quality in Clinical Research Informatics Tools. 871897 - Rui Wang, Ruiyi Zhang, Ricardo Henao:
Wasserstein Uncertainty Estimation for Adversarial Domain Matching. 878716 - Erik Schultes, Marco Roos, Luiz Olavo Bonino da Silva Santos, Giancarlo Guizzardi, Jildau Bouwman, Thomas Hankemeier, Arie Baak, Barend Mons:
FAIR Digital Twins for Data-Intensive Research. 883341 - Stefan Munnes, Corinna Harsch, Marcel Knobloch, Johannes S. Vogel, Lena Hipp, Erik Schilling:
Examining Sentiment in Complex Texts. A Comparison of Different Computational Approaches. 886362 - Alycia N. Carey, Xintao Wu:
The Causal Fairness Field Guide: Perspectives From Social and Formal Sciences. 892837 - Meng Jiang, Chuxu Zhang, Xiangliang Zhang, Neil Shah:
Editorial: Computational Behavioral Modeling for Big User Data. 893216 - Zhirun Zhang, Li Chen, Tonglin Jiang, Yutong Li, Lei Li:
Effects of Feature-Based Explanation and Its Output Modality on User Satisfaction With Service Recommender Systems. 897381 - Yves Rybarczyk, Rasa Zalakeviciute:
Editorial: Statistical Learning for Predicting Air Quality. 898643 - Hårek Haugerud, Mohamad Sobhie, Anis Yazidi:
Tuning of Elasticsearch Configuration: Parameter Optimization Through Simultaneous Perturbation Stochastic Approximation. 686416 - Li Fang, Xiwu Zhan, Satya Kalluri, Peng Yu, Christopher Hain, Martha C. Anderson, Istvan Laszlo:
Application of a Machine Learning Algorithm in Generating an Evapotranspiration Data Product From Coupled Thermal Infrared and Microwave Satellite Observations. 768676 - Sharanya Arcot Desai, Thomas Tcheng, Martha Morrell:
Non-linear Embedding Methods for Identifying Similar Brain Activity in 1 Million iEEG Records Captured From 256 RNS System Patients. 840508 - Maurizio Ferrari Dacrema, Nicolò Felicioni, Paolo Cremonesi:
Offline Evaluation of Recommender Systems in a User Interface With Multiple Carousels. 910030 - Denis Helic, Ujwal Gadiraju, Marko Tkalcic:
Editorial: User Modeling and Recommendations. 923397 - Siyu Wang, Yuanjiang Cao, Xiaocong Chen, Lina Yao, Xianzhi Wang, Quan Z. Sheng:
Adversarial Robustness of Deep Reinforcement Learning Based Dynamic Recommender Systems. - Olatunbosun Agbo-Ajala, Serestina Viriri, Mustapha Oloko-Oba, Olufisayo Ekundayo, Reolyn Heymann:
Apparent age prediction from faces: A survey of modern approaches. - Amy Finnegan, David D. Potenziani, Caroline Karutu, Irene Wanyana, Nicholas Matsiko, Cyrus Elahi, Nobert Mijumbi, Richard Stanley, Wayan Vota:
Deploying machine learning with messy, real world data in low- and middle-income countries: Developing a global health use case. - Mark E. Lokanan:
The determinants of investment fraud: A machine learning and artificial intelligence approach. - Mohamed Abdel-Hafiz, Mesbah Najafi, Shahab Helmi, Katherine A. Pratte, Yonghua Zhuang, Weixuan Liu, Katerina J. Kechris, Russell Bowler, Leslie Lange, Farnoush Banaei Kashani:
Significant Subgraph Detection in Multi-omics Networks for Disease Pathway Identification. - Kelly Fisher:
The role of gender in providing expert advice on cyber conflict and artificial intelligence for military personnel. - Yuchen Liang, Dmitry Krotov, Mohammed J. Zaki:
Modern Hopfield Networks for graph embedding. - Dongqi Fu, Jingrui He:
Natural and Artificial Dynamics in Graphs: Concept, Progress, and Future. - Diem-Trang Pham, Vinhthuy Phan:
Representing bacteria with unique genomic signatures. - Melody L. Greer, Cilia E. Zayas, Sudeepa Bhattacharyya:
Repeatable enhancement of healthcare data with social determinants of health. - Prashant Giridhar Shambharkar, Ruchi Goel:
From video summarization to real time video summarization in smart cities and beyond: A survey. - Niansheng Tang, Catherine Liu, Jian Qing Shi, Yangxin Huang:
Editorial: Bayesian Inference and AI. - Sigurd N. Hovd:
Tools of war and virtue-Institutional structures as a source of ethical deskilling. - Thanh Nguyen, Zongliang Yue, Radomir Slominski, Robert S. Welner, Jianyi Zhang, Jake Y. Chen:
WINNER: A network biology tool for biomolecular characterization and prioritization. - Wei Xiao, Qian Hu, Thahir Mohamed, Zheng Gao, Xibin Gao, Radhika Arava, Mohamed Abdelhady:
Two-Stage Voice Application Recommender System for Unhandled Utterances in Intelligent Personal Assistant. - Farah Kidwai-Khan, Christopher T. Rentsch, Rebecca Pulk, Charles Alcorn, Cynthia A. Brandt, Amy C. Justice:
Pharmacogenomics driven decision support prototype with machine learning: A framework for improving patient care. - Anath Rau Krishnan:
Past efforts in determining suitable normalization methods for multi-criteria decision-making: A short survey. - Ravdeep S. Pasricha, Ekta Gujral, Evangelos E. Papalexakis:
Adaptive granularity in tensors: A quest for interpretable structure. - Federica Mandreoli, Davide Ferrari, Veronica Guidetti, Federico Motta, Paolo Missier:
Real-world data mining meets clinical practice: Research challenges and perspective. - Christian Steinfeldt, Helena Mihaljevic:
A machine learning approach to quantify gender bias in collaboration practices of mathematicians. - Lu Gao, Zijian Cheng, Fudong Zhu, Chunsheng Bi, Qiongling Shi, Xiaoyan Chen:
The Oral Microbiome and Its Role in Systemic Autoimmune Diseases: A Systematic Review of Big Data Analysis. - Zahra Khanjani, Gabrielle Watson, Vandana P. Janeja:
Audio deepfakes: A survey. - Richard Dean:
Lethal autonomous weapons systems, revulsion, and respect. - Philippe J. Giabbanelli, Samarth Swarup, Renaud Lambiotte, Giuseppe Mangioni:
Editorial: Scalable Network Generation & Analysis. - Helena Coggan, Helena Andrés-Terré, Pietro Liò:
A novel interpretable machine learning algorithm to identify optimal parameter space for cancer growth. - Neil C. Rowe:
The comparative ethics of artificial-intelligence methods for military applications. - Lena Seewann, Roland Verwiebe, Claudia Buder, Nina-Sophie Fritsch:
"Broadcast your gender." A comparison of four text-based classification methods of German YouTube channels. - Daniela van Geenen, Jonathan Gray, Liliana Bounegru, Tommaso Venturini, Mathieu Jacomy, Axel Meunier:
Staying with the trouble of networks. - Davide Chicco, Giuseppe Jurman:
The ABC recommendations for validation of supervised machine learning results in biomedical sciences. - Yuqing Zhang, Suzanne G. Leveille, Ling Shi:
Multiple Chronic Diseases Associated With Tooth Loss Among the US Adult Population. - Peter Hazell, Peter Novitzky, Steven van den Oord:
Socio-technical system analysis of responsible data sharing in water systems as critical infrastructure. - Qi Yang, Aleksandr Farseev, Sergey I. Nikolenko, Andrey Filchenkov:
Do we behave differently on Twitter and Facebook: Multi-view social network user personality profiling for content recommendation. - Jonathan Moreno, Michael L. Gross, Jack Becker, Blake Hereth, Neil D. Shortland, Nicholas G. Evans:
The ethics of AI-assisted warfighter enhancement research and experimentation: Historical perspectives and ethical challenges. - Leonard Kahn:
Lethal autonomous weapon systems and respect for human dignity. - Sayantee Jana, Mitchell Sutton, Tatyana Mollayeva, Vincy Chan, Angela Colantonio, Michael David Escobar:
Application of multiple testing procedures for identifying relevant comorbidities, from a large set, in traumatic brain injury for research applications utilizing big health-administrative data. - Ayat Al Assi, Rubayet Bin Mostafiz, Carol J. Friedland, Md Adilur Rahim, Robert V. Rohli:
Flood risk assessment for residences at the neighborhood scale by owner/occupant type and first-floor height. - Xiaojin Li, Shiqiang Tao, Samden D. Lhatoo, Licong Cui, Yan Huang, Johnson P. Hampson, Guo-Qiang Zhang:
A multimodal clinical data resource for personalized risk assessment of sudden unexpected death in epilepsy. - M. Eduard Tudoreanu:
Exploring the use of topological data analysis to automatically detect data quality faults. - Stefaan Verhulst, Andrew Young:
Identifying and addressing data asymmetries so as to enable (better) science. - Anna-Carolina Haensch, Bernd Weiß, Patricia Steins, Priscilla Chyrva, Katja Bitz:
The semi-automatic classification of an open-ended question on panel survey motivation and its application in attrition analysis. - Rubayet Bin Mostafiz, Md Adilur Rahim, Carol J. Friedland, Robert V. Rohli, Nazla Bushra, Fatemeh Orooji:
A data-driven spatial approach to characterize the flood hazard. - Konstantin Sharafutdinov, Jayesh Sudhir Bhat, Sebastian Johannes Fritsch, Kateryna Nikulina, Moein E. Samadi, Richard Polzin, Hannah Mayer, Gernot Marx, Johannes Bickenbach, Andreas Schuppert:
Application of convex hull analysis for the evaluation of data heterogeneity between patient populations of different origin and implications of hospital bias in downstream machine-learning-based data processing: A comparison of 4 critical-care patient datasets. - Andrea Polonioli:
Zero party data between hype and hope. - Esra Akdeniz, Kerrin Emilia Borschewski, Johannes Breuer, Yevhen Voronin:
Sharing social media data: The role of past experiences, attitudes, norms, and perceived behavioral control. - Blair Jamieson, Matt Stubbs, Sheela Ramanna, John Walker, Nick Prouse, Ryosuke Akutsu, Patrick de Perio, Wojciech Fedorko:
Using machine learning to improve neutron identification in water Cherenkov detectors. - Philipp Wieder, Hendrik Nolte:
Toward data lakes as central building blocks for data management and analysis. - Bing Liu, Mengfan Shi, Yi Kuang, Xin Jiang:
TELS: Evolution patterns of research keywords from the evidence of PNAS Social Sciences topics. - Fabrício Alves Barbosa da Silva, Jack Adam Tuszynski, Helder I. Nakaya, Channing J. Paller:
Editorial: Big Data and machine learning in cancer theranostics. - Richard Milne, Mark Sheehan, Brendan Barnes, Janek Kapper, Nathan Lea, James N'Dow, Gurparkash Singh, Amelia Martín-Uranga, Nigel Hughes:
A concentric circles view of health data relations facilitates understanding of sociotechnical challenges for learning health systems and the role of federated data networks. - Mark Metcalf:
The PRC considers military AI ethics: Can autonomy be trusted? - Razieh Nabi, Joel Pfeiffer, Denis Charles, Emre Kiciman:
Causal Inference in the Presence of Interference in Sponsored Search Advertising. - Lukas Calefice, Arthur M. Hennequin, Louis Henry, Brij Kishor Jashal, Diego Mendoza, A. Oyanguren Campos, Izaac Sanderswood, Carlos Vázquez Sierra, Jiahui Zhuo:
Effect of the high-level trigger for detecting long-lived particles at LHCb. - David Pastor-Escuredo, Andrea Gardeazabal, Jawoo Koo, Asuka Imai, Philip C. Treleaven:
Multi-scale governance and data for sustainable development. - Patrick Taylor Smith:
Resolving responsibility gaps for lethal autonomous weapon systems. - Gaurav Duggal, Tejas Gaikwad, Bhupendra Sinha:
Dependable modulation classifier explainer with measurable explainability. - Kaixiong Zhou, Xiao Huang, Qingquan Song, Rui Chen, Xia Hu:
Auto-GNN: Neural architecture search of graph neural networks. - Adyasha Rath, Debahuti Mishra, Ganapati Panda:
Imbalanced ECG signal-based heart disease classification using ensemble machine learning technique. - Yueqing Liang, Canyu Chen, Tian Tian, Kai Shu:
Fair classification via domain adaptation: A dual adversarial learning approach. - Melanie Goisauf, Mónica Cano Abadia:
Ethics of AI in Radiology: A Review of Ethical and Societal Implications. - Çaglar Küçük, Sujan Koirala, Nuno Carvalhais, Diego G. Miralles, Markus Reichstein, Martin Jung:
Observation-based assessment of secondary water effects on seasonal vegetation decay across Africa. - Amit Klein, Karena Puldon, Stephan Dilchert, Wendy Hartogensis, Anoushka Chowdhary, Claudine Anglo, Leena S. Pandya, Frederick M. Hecht, Ashley Mason, Benjamin L. Smarr:
Methods for detecting probable COVID-19 cases from large-scale survey data also reveal probable sex differences in symptom profiles. - Nazla Bushra, Robert V. Rohli, Chunyan Li, Paul W. Miller, Rubayet Bin Mostafiz:
Changing features of the Northern Hemisphere 500-hPa circumpolar vortex. - Loredana Bellantuono, Alfonso Monaco, Nicola Amoroso, Antonio Lacalamita, Ester Pantaleo, Sabina Tangaro, Roberto Bellotti:
Worldwide impact of lifestyle predictors of dementia prevalence: An eXplainable Artificial Intelligence analysis. - Shanmuga Venkatachalam, Harideep Nair, Ming Zeng, Cathy Tan, Ole J. Mengshoel, John Paul Shen:
SemNet: Learning semantic attributes for human activity recognition with deep belief networks. - Huan Li, Tiantian Liu, Harry Kai-Ho Chan, Hua Lu:
Spatial data analysis for intelligent buildings: Awareness of context and data uncertainty. - John E. Wenskovitch, Brett A. Jefferson, Alexander A. Anderson, Jessica Baweja, Danielle Ciesielski, Corey K. Fallon:
A Methodology for Evaluating Operator Usage of Machine Learning Recommendations for Power Grid Contingency Analysis. - Jun Wu, Jingrui He:
Dynamic transfer learning with progressive meta-task scheduler. - Islam Akef Ebeid:
MedGraph: A semantic biomedical information retrieval framework using knowledge graph embedding for PubMed. - Simone Piaggesi, Serena Giurgola, Márton Karsai, Yelena Mejova, André Panisson, Michele Tizzoni:
Mapping urban socioeconomic inequalities in developing countries through Facebook advertising data. - Mo Jia, Karan Kumar, Liam S. Mackey, Alexander Putra, Cristovao Vilela, Michael J. Wilking, Junjie Xia, Chiaki Yanagisawa, Karan Yang:
Maximum Likelihood Reconstruction of Water Cherenkov Events With Deep Generative Neural Networks. - Keith A. Bush, Maegan L. Calvert, Clinton D. Kilts:
Lessons learned: A neuroimaging research center's transition to open and reproducible science. - Gabriele Tolomei, Fabio Pinelli, Fabrizio Silvestri:
Editorial: Human-Interpretable Machine Learning. - Cheng Jie, Zigeng Wang, Da Xu, Wei Shen:
Multi-objective cluster based bidding algorithm for E-commerce search engine marketing system. - Masoomali Fatehkia, Zinnya del Villar, Till Koebe, Emmanuel Letouzé, Andres Lozano, Roaa Al Feel, Fouad Mrad, Ingmar Weber:
Using Facebook advertising data to describe the socio-economic situation of Syrian refugees in Lebanon. - Jovana Davidovic:
On the purpose of meaningful human control of AI. - Kaushik Roy, Manas Gaur, Misagh Soltani, Vipula Rawte, Ashwin Kalyan, Amit P. Sheth:
ProKnow: Process knowledge for safety constrained and explainable question generation for mental health diagnostic assistance. - Akshay Agarwal, Richa Singh, Mayank Vatsa, Afzel Noore:
Boosting Face Presentation Attack Detection in Multi-Spectral Videos Through Score Fusion of Wavelet Partition Images. - Daniel K. Sewell:
Network-Informed Constrained Divisive Pooled Testing Assignments. - Arinjita Bhattacharyya, Anand Seth, Shesh Rai:
The effects of long COVID-19, its severity, and the need for immediate attention: Analysis of clinical trials and Twitter data. - Bilal Abu-Salih:
MetaOntology: Toward developing an ontology for the metaverse. - Xiyao Fu, Zhexian Sun, Haoteng Tang, Eric M. Zou, Heng Huang, Yong Wang, Liang Zhan:
3D bi-directional transformer U-Net for medical image segmentation. - Raphaëlle Toubiana, Millie Macdonald, Sivananda Rajananda, Tale Lokvenec, Thomas C. Kingsley, Santiago Romero-Brufau:
Blockchain for Electronic Vaccine Certificates: More Cons Than Pros? - Ffion Carney, Alfie Long, Jens Kandt:
Accessibility and Essential Travel: Public Transport Reliance Among Senior Citizens During the COVID-19 Pandemic. - Heleen Rutjes, Martijn C. Willemsen, Milou Feijt, Wijnand A. IJsselsteijn:
The Influence of Personal Health Data on the Health Coaching Process. - Karlijn Dinnissen, Christine Bauer:
Fairness in Music Recommender Systems: A Stakeholder-Centered Mini Review. - Rinki Singh, Deepika Kukreja, Deepak Kumar Sharma:
Blockchain-enabled access control to prevent cyber attacks in IoT: Systematic literature review. - Magdalini Eirinaki, Iraklis Varlamis, Janhavi Dahihande, Akshay Jaiswal, Akshay Anil Pagar, Ajinkya Thakare:
Real-time recommendations for energy-efficient appliance usage in households.
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