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Frontiers in Big Data, Volume 6
Volume 6, January 2023
- Torvald F. Ask
, Kaur Kullman
A 3D mixed reality visualization of network topology and activity results in better dyadic cyber team communication and cyber situational awareness. - Mohammad MinHazul Haq, Hehuan Ma, Junzhou Huang
NuSegDA: Domain adaptation for nuclei segmentation. - Yu Zhu, Santiago Segarra:
Hypergraphs with edge-dependent vertex weights: p-Laplacians and spectral clustering. - Darren S. J. Ting, Rashmi Deshmukh
Big data in corneal diseases and cataract: Current applications and future directions. - Ayushi Sharma, Pratham Sharma, Harsh Bamotra, Vibha Gaur:
An extended approach to appraise electricity distribution and carbon footprint of bitcoin in a smart city. - Ramin Homayouni, Prashanti Manda, Aik Choon Tan
Editorial: AI and data science in drug development and public health: Highlights from the MCBIOS 2022 conference. - Richa Singh, R. L. Ujjwal:
Hybridized bio-inspired intrusion detection system for Internet of Things. - Christi J. Guerrini
Fresh takes on five health data sharing domains: Quality, privacy, equity, incentives, and sustainability. - Kai Fan
Machine learning-based ozone and PM2.5 forecasting: Application to multiple AQS sites in the Pacific Northwest. - Daniele Sartirano, Kyriaki Kalimeri, Ciro Cattuto, Enrique Delamónica
Strengths and limitations of relative wealth indices derived from big data in Indonesia. - Nhu-Y Tran, Hieu Trung Huynh, Pham The Bao:
A proposed scenario to improve the Ncut algorithm in segmentation. - Liang Zheng, Yile Chen
Predicting the distribution of COVID-19 through CGAN - Taking Macau as an example. - Stefania Fiandrino
Combining environmental and socioeconomic data to understand determinants of conflicts in Colombia. - Daniela D'Auria, Raffaele Russo, Alfonso Fedele, Federica Addabbo, Diego Calvanese:
An intelligent telemonitoring application for coronavirus patients: reCOVeryaID. - Shekhar Mahmud, Turker Berk Donmez, Mohammed Mansour, Mustafa Kutlu, Chris Freeman
Corrigendum: Anemia detection through non-invasive analysis of lip mucosa images. - Massimiliano Luca
Crime, inequality and public health: a survey of emerging trends in urban data science. - John R. Talburt, Lisa Ehrlinger, Justin Magruder:
Editorial: Automated data curation and data governance automation. - Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao:
Fast and adaptive dynamics-on-graphs to dynamics-of-graphs translation. - Kellen Donahue, John S. Kimball
Deep learning estimation of northern hemisphere soil freeze-thaw dynamics using satellite multi-frequency microwave brightness temperature observations. - Carlos Alberto Almanza Junco, Marial del Pilar Pulido Ramirez, Mercedes Gaitán-Angulo, Melva Inés Gómez-Caicedo, Álvaro Luis Mercado Suárez:
Factors for the implementation of the circular economy in Big Data environments in service companies in post pandemic times of COVID-19: The case of Colombia. - Shashank Uttrani
Does subnetting and port hardening influence human adversarial decisions? An investigation via a HackIT tool. - Mitt Regan, Jovana Davidovic:
Just preparation for war and AI-enabled weapons. - Shekhar Mahmud, Mohammed Mansour
Non-invasive detection of anemia using lip mucosa images transfer learning convolutional neural networks. - Erratum: Evaluation of methods for assigning causes of death from verbal autopsies in India.
- Stamatios Giannoulakis, Nicolas Tsapatsoulis, Constantinos Djouvas:
Evaluating the use of Instagram images color histograms and hashtags sets for automatic image annotation. - Petr Kolár, Umair bin Waheed, Leo Eisner, Petr Matousek:
Arrival times by Recurrent Neural Network for induced seismic events from a permanent network. - Srijan Kumar:
Advances in AI for web integrity, equity, and well-being. - Roberta Rocca, Nicolò Tamagnone, Selim Fekih, Ximena Contla, Navid Rekabsaz:
Natural language processing for humanitarian action: Opportunities, challenges, and the path toward humanitarian NLP. - Ruipeng Tang, Narendra Kumar Aridas
Design of a data processing method for the farmland environmental monitoring based on improved Spark components. - Sudhir K. Benara, Saurabh Sharma, Atul Juneja, Saritha Nair, B. K. Gulati, Kh. Jitenkumar Singh, Lucky Singh, Ved Prakash Yadav, Chalapati Rao, M. Vishnu Vardhana Rao:
Evaluation of methods for assigning causes of death from verbal autopsies in India. - Erman Arif, Elin Herlinawati, Dodi Devianto, Mutia Yollanda, Dony Permana:
Hybridization of long short-term memory neural network in fractional time series modeling of inflation. - Rawan Elragal, Ahmed Elragal
Healthcare analytics - A literature review and proposed research agenda. - Joe Germino, Annalisa Szymanski
A community focused approach toward making healthy and affordable daily diet recommendations. - S. Saminathan, C. Malathy:
Ensemble-based classification approach for PM2.5 concentration forecasting using meteorological data. - Alexander Felfernig, Manfred Wundara, Thi Ngoc Trang Tran, Seda Polat Erdeniz, Sebastian Lubos
Recommender systems for sustainability: overview and research issues. - Casey Watters, Michal K. Lemanski:
Universal skepticism of ChatGPT: a review of early literature on chat generative pre-trained transformer. - Lynnette Hui Xian Ng, Kathleen M. Carley:
Corrigendum: Do you hear the people sing? Comparison of synchronized URL and narrative themes in 2020 and 2023 French protests. - Paschal A. Ochang, Damian Eke, Bernd Carsten Stahl:
Corrigendum: Towards an understanding of global brain data governance: ethical positions that underpin global brain data governance discourse. - Adriana Iamnitchi, Lawrence O. Hall, Sameera Horawalavithana, Frederick Mubang, Kin Wai Ng
Modeling information diffusion in social media: data-driven observations. - Benedikt Loepp
Multi-list interfaces for recommender systems: survey and future directions. - Feng Chen, Shuhan Yuan, Jilin Hu
Editorial: Rising stars in data mining and management 2022. - Pavel Latyshev
Unsupervised domain adaptation methods for cross-species transfer of regulatory code signals. - Nataliya Shakhovska, Roman Kaminskyi, Bohdan Khudoba:
Experimental study and clustering of operating staff of search systems in the sense of stress resistance. - William Eduardo Villegas-Ch., Joselin García-Ortiz:
Authentication, access, and monitoring system for critical areas with the use of artificial intelligence integrated into perimeter security in a data center. - Claudia Cavallaro
Discovering anomalies in big data: a review focused on the application of metaheuristics and machine learning techniques. - Lesia I. Mochurad, Andrii Sydor, Oleh Ratinskiy
A fast parallelized DBSCAN algorithm based on OpenMp for detection of criminals on streaming services. - Namita Gupta
Editorial: Smart cities challenges, technologies and trends. - Stefano Calzati:
No longer hype, not yet mainstream? Recalibrating city digital twins' expectations and reality: a case study perspective. - Marten Düring, Matteo Romanello
impresso Text Reuse at Scale. An interface for the exploration of text reuse data in semantically enriched historical newspapers. - Kirsi Helkala, George Lucas, Edward Barrett, Henrik Syse:
Editorial: Ethical challenges in AI-enhanced military operations. - Thong Vu, Tyler Petty, Kemal Yakut, Muhammad Usman, Wei Xue
Real-time arrhythmia detection using convolutional neural networks. - Shanmuga Venkatachalam, Harideep Nair
Corrigendum: SemNet: Learning semantic attributes for human activity recognition with deep belief networks. - Revathy Venkataramanan, Swati Padhee
Ki-Cook: clustering multimodal cooking representations through knowledge-infused learning. - Nicholas Mamo
The myth of reproducibility: A review of event tracking evaluations on Twitter. - Bing He, Linhui Xie
Fused multi-modal similarity network as prior in guiding brain imaging genetic association. - Jonathan Middleton, Jaakko Hakulinen
Data-to-music sonification and user engagement. - Sarah Bratt, Mrudang Langalia, Abhishek Nanoti:
North-south scientific collaborations on research datasets: a longitudinal analysis of the division of labor on genomic datasets (1992-2021). - John Robert Bautista, Daniel Toshio Harrell, Ladd Hanson, Eliel C. de Oliveira, Mustafa Abdul-Moheeth, Eric T. Meyer, Anjum Khurshid:
MediLinker: a blockchain-based decentralized health information management platform for patient-centric healthcare. - Ilaria Bartolini, Marco Patella:
A stream processing abstraction framework. - John Andrew Raine
CURTAINs for your sliding window: Constructing unobserved regions by transforming adjacent intervals. - Hanjia Lyu
Human behavior in the time of COVID-19: Learning from big data. - Mengyun Sui, Minna Cheng, Sheng Zhang, Yuheng Wang, Qinghua Yan, Qinping Yang, Fei Wu, Long Xue
The digitized chronic disease management model: scalable strategies for implementing standardized healthcare and big data analytics in Shanghai. - Tomislav Duricic, Dominik Kowald, Emanuel Lacic, Elisabeth Lex:
Beyond-accuracy: a review on diversity, serendipity, and fairness in recommender systems based on graph neural networks. - Dagny Aurich
How can data visualization support interdisciplinary research? LuxTIME: studying historical exposomics in Belval. - Zilong Zhao, Aditya Kunar, Robert Birke, Hiek Van der Scheer, Lydia Y. Chen:
CTAB-GAN+: enhancing tabular data synthesis. - Brendan Hoover, Dakota Zaengle, Mackenzie Mark-Moser, Patrick Wingo, Anuj Suhag, Kelly Rose:
Enhancing knowledge discovery from unstructured data using a deep learning approach to support subsurface modeling predictions. - Shekhar Mahmud, Mohammed Mansour, Turker Berk Donmez, Mustafa Kutlu, Chris Freeman
Corrigendum: Non-invasive detection of anemia using lip mucosa images transfer learning convolutional neural networks. - Muhammad Tukur, Jens Schneider, Mowafa Said Househ, Ahmed Haruna Dokoro, Usman Idris Ismail
The metaverse digital environments: a scoping review of the challenges, privacy and security issues. - Sebastian Lubos
An overview of video recommender systems: state-of-the-art and research issues. - Lin-Ching Chang, Anastasia Angelopoulou
Editorial: Women in AI medicine and public health 2022. - Zhi-He Xu, Ji-Yi Jiang, Guan-Wen Gu, Zhen-Jun Sun, Xuan-Kai Jiao, Xing-Guo Niu, Qin Yu:
Assessment of geothermal resource potential in Changbaishan utilizing high-precision gravity-based man-machine interactive inversion technology. - Loukas Ilias, Giannis Tsapelas, Panagiotis Kapsalis, Vasilis Michalakopoulos, Giorgos Kormpakis, Spiros Mouzakitis, Dimitris Askounis:
Leveraging extreme scale analytics, AI and digital twins for maritime digitalization: the VesselAI architecture. - Yi-Chan Chen, Min-Hsuan Lee, Shan-Ni Hsueh, Chien-Liang Liu
The influence of the Pringle maneuver in laparoscopic hepatectomy: continuous monitor of hemodynamic change can predict the perioperatively physiological reservation. - Zirui Liu, Qingquan Song, Li Li, Soo-Hyun Choi, Rui Chen, Xia Hu:
PME: pruning-based multi-size embedding for recommender systems. - Alena Simalatsar
Synthetic biomedical data generation in support of In Silico Clinical Trials. - Benoît Vibert, Jean-Marie Le Bars, Christophe Charrier, Christophe Rosenberger
Comparative study of minutiae selection methods for digital fingerprints. - Renushka Madarie, Christianne J. de Poot
Criminal clickbait: a panel data analysis on the attractiveness of online advertisements offering stolen data. - Martina Nobili:
Review OSINT tool for social engineering. - Yajing Liu, Turgay Caglar, Chris Peterson, Michael Kirby:
Integrating geometries of ReLU feedforward neural networks. - Hamish Steptoe, Theo Economou:
Proliferation of atmospheric datasets can hinder policy making: a data blending technique offers a solution. - Luca Clissa
How big is Big Data? A comprehensive survey of data production, storage, and streaming in science and industry. - Marko Tumbas, Sofija Markovic
A large-scale machine learning study of sociodemographic factors contributing to COVID-19 severity. - Yasmeena Akhter, Richa Singh, Mayank Vatsa:
AI-based radiodiagnosis using chest X-rays: A review. - Paschal A. Ochang, Damian Eke, Bernd Carsten Stahl:
Towards an understanding of global brain data governance: ethical positions that underpin global brain data governance discourse. - Halyna Padalko, Vasyl Chomko, Dmytro Chumachenko
A novel approach to fake news classification using LSTM-based deep learning models. - Bo Zhao, Sarah Huepenbecker, Gen Zhu, Suja S. Rajan, Kayo Fujimoto, Xi Luo:
Comorbidity network analysis using graphical models for electronic health records. - Zahra Fatemi, Elena Zheleva:
Network experiment designs for inferring causal effects under interference. - Ke Ding, Gunjan Dixit, Brian J. Parker, Jiayu Wen
CRMnet: A deep learning model for predicting gene expression from large regulatory sequence datasets. - Priya Deshpande, Alexander Rasin, Roselyne Tchoua, Jacob D. Furst, Daniela Raicu, Michiel Schinkel, Hari Trivedi
Biomedical heterogeneous data categorization and schema mapping toward data integration. - Rubén Alexander Acevedo-Rueda, Rodrigo Ramírez-Pisco, Carmen Luisa Vásquez Stanescu, Ennodio José Torres Cruz, Melva Inés Gómez-Caicedo, Mercedes Gaitán-Angulo:
Sustainable energy policies from a complexity perspective. - Katja Mayer
Editorial: Critical data and algorithm studies. - Shekhar Mahmud, Turker Berk Donmez, Mohammed Mansour
Anemia detection through non-invasive analysis of lip mucosa images. - Igor Nesteruk:
Trends of the COVID-19 dynamics in 2022 and 2023 vs. the population age, testing and vaccination levels. - Alejandro Benito-Santos, Salvador Muñoz, Roberto Therón Sánchez
Characterizing the visualization design space of distant and close reading of poetic rhythm. - Suraj Singh Nagvanshi, Inderjeet Kaur, Charu Agarwal, Ashish Sharma:
Nonstationary time series forecasting using optimized-EVDHM-ARIMA for COVID-19. - Deepak Kumar
Fairness of recommender systems in the recruitment domain: an analysis from technical and legal perspectives. - Antonino Ferraro, Antonio Galli, Valerio La Gatta, Marco Postiglione:
Benchmarking open source and paid services for speech to text: an analysis of quality and input variety. - Elisa Omodei
Editorial: Are machine learning, AI, and big data tools ready to be used for sustainable development? Challenges, and limitations of current approaches. - Luyi Ma, Nimesh Sinha, Jason H. D. Cho, Sushant Kumar, Kannan Achan:
Personalized diversification of complementary recommendations with user preference in online grocery. - Rowalt Alibudbud:
Wikipedia page views for health research: a review. - Xuyue Wang, Wangyang Yu, Chao Zhang, Jia Wang, Fei Hao, Jin Li, Jing Zhang:
Modeling and analyzing the action process of monoamine hormones in depression: a Petri nets-based intelligent approach. - Iustina Ivanova, Mike Wald:
Climbing crags recommender system in Arco, Italy: a comparative study. - Neeti Pokhriyal, Till Koebe:
AI-assisted diplomatic decision-making during crises - Challenges and opportunities. - Rowalt Alibudbud:
Google Trends for health research: Its advantages, application, methodological considerations, and limitations in psychiatric and mental health infodemiology. - Norzalita Abd Aziz, Fei Long:
Examining the relationship between big data analytics capabilities and organizational ambidexterity in the Malaysian banking sector. - Eugenio Cesario
Big data analytics and smart cities: applications, challenges, and opportunities. - Ashmi Banerjee, Paromita Banik, Wolfgang Wörndl:
A review on individual and multistakeholder fairness in tourism recommender systems. - Ahmed Abuhalimeh, Omar Ali:
Comprehensive review for healthcare data quality challenges in blockchain technology. - Chenwei Yan
A solution and practice for combining multi-source heterogeneous data to construct enterprise knowledge graph. - Ieuan Clay
Editorial: Multimodal digital approaches to personalized medicine. - Julien Assuied, Yérali Gandica
The detection and effect of social events on Wikipedia data-set for studying human preferences. - Lynnette Hui Xian Ng, Kathleen M. Carley:
Do you hear the people sing? Comparison of synchronized URL and narrative themes in 2020 and 2023 French protests. - Furkan Gursoy, Ioannis A. Kakadiaris:
Artificial intelligence research strategy of the United States: critical assessment and policy recommendations. - A. K. M. Mubashwir Alam, Keke Chen:
TEE-Graph: efficient privacy and ownership protection for cloud-based graph spectral analysis. - Yi-Ting Chang:
Kernel-wise difference minimization for convolutional neural network compression in metaverse. - 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
Corrigendum: Applications and techniques for fast machine learning in science. - Elizabeth Thomas, Ferid Ben Ali, Arvind Tolambiya, Florian Chambellant, Jérémie Gaveau:
Too much information is no information: how machine learning and feature selection could help in understanding the motor control of pointing. - Abhishek Santra, Fariba Afrin Irany, Kamesh Madduri, Sharma Chakravarthy, Sanjukta Bhowmick:
Efficient community detection in multilayer networks using boolean compositions. - Dietmar Jannach, Himan Abdollahpouri:
A survey on multi-objective recommender systems. - Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald:
Differential privacy in collaborative filtering recommender systems: a review.
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