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  • Frontiers in Big Data: 2023, vol: 6, issue:
  • 1)- Alena Simalatsar. Synthetic biomedical data generation in support of Clinical Trials. Frontiers in big data. 2023, 6: 1085571
    Cited : 1
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  • 2)- Joe Germino, Annalisa Szymanski, Ronald Metoyer, Nitesh V Chawla. A community focused approach toward making healthy and affordable daily diet recommendations. Frontiers in big data. 2023, 6: 1086212
    Cited : 1
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  • 3)- Abhishek Santra, Fariba Afrin Irany, Kamesh Madduri, Sharma Chakravarthy, Sanjukta Bhowmick. Efficient community detection in multilayer networks using boolean compositions. Frontiers in big data. 2023, 6: 1144793
    Cited : 1
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  • 4)- Dagny Aurich, Aida Horaniet Ibañez. How can data visualization support interdisciplinary research? LuxTIME: studying historical exposomics in Belval. Frontiers in big data. 2023, 6: 1164885
    Cited : 3
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  • 5)- Martina Nobili. Review OSINT tool for social engineering. Frontiers in big data. 2023, 6: 1169636
    Cited : 0
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  • 6)- Claudia Cavallaro, Vincenzo Cutello, Mario Pavone, Francesco Zito. Discovering anomalies in big data: a review focused on the application of metaheuristics and machine learning techniques. Frontiers in big data. 2023, 6: 1179625
    Cited : 2
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  • 7)- 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. Frontiers in big data. 2023, 6: 1197471
    Cited : 1
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  • 8)- Hamish Steptoe, Theo Economou. Proliferation of atmospheric datasets can hinder policy making: a data blending technique offers a solution. Frontiers in big data. 2023, 6: 1198097
    Cited : 1
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  • 9)- Yi-Ting Chang. Kernel-wise difference minimization for convolutional neural network compression in metaverse. Frontiers in big data. 2023, 6: 1200382
    Cited : 0
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  • 10)- William 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. Frontiers in big data. 2023, 6: 1200390
    Cited : 1
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  • 11)- Daniela D'Auria, Raffaele Russo, Alfonso Fedele, Federica Addabbo, Diego Calvanese. An intelligent telemonitoring application for coronavirus patients: reCOVeryaID. Frontiers in big data. 2023, 6: 1205766
    Cited : 3
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  • 12)- Jonathan Middleton, Jaakko Hakulinen, Katariina Tiitinen, Juho Hella, Tuuli Keskinen, Pertti Huuskonen, Jeffrey Culver, Juhani Linna, Markku Turunen, Mounia Ziat, Roope Raisamo. Data-to-music sonification and user engagement. Frontiers in big data. 2023, 6: 1206081
    Cited : 1
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  • 13)- Furkan Gursoy, Ioannis A Kakadiaris. Artificial intelligence research strategy of the United States: critical assessment and policy recommendations. Frontiers in big data. 2023, 6: 1206139
    Cited : 0
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  • 14)- 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. Frontiers in big data. 2023, 6: 1210559
    Cited : 1
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  • 15)- Iustina Ivanova, Mike Wald. Climbing crags recommender system in Arco, Italy: a comparative study. Frontiers in big data. 2023, 6: 1214029
    Cited : 0
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  • 16)- 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. Frontiers in big data. 2023, 6: 1221744
    Cited : 2
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  • 17)- Casey Watters, Michal K Lemanski. Universal skepticism of ChatGPT: a review of early literature on chat generative pre-trained transformer. Frontiers in big data. 2023, 6: 1224976
    Cited : 12
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  • 18)- Ilaria Bartolini, Marco Patella. A stream processing abstraction framework. Frontiers in big data. 2023, 6: 1227156
    Cited : 0
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  • 19)- Stefano Calzati. No longer hype, not yet mainstream? Recalibrating city digital twins' expectations and reality: a case study perspective. Frontiers in big data. 2023, 6: 1236397
    Cited : 1
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  • 20)- Nataliya Shakhovska, Roman Kaminskyi, Bohdan Khudoba. Experimental study and clustering of operating staff of search systems in the sense of stress resistance. Frontiers in big data. 2023, 6: 1239017
    Cited : 0
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  • 21)- Benedikt Loepp. Multi-list interfaces for recommender systems: survey and future directions. Frontiers in big data. 2023, 6: 1239705
    Cited : 0
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  • 22)- Damian Eke, Paschal Ochang, Bernd Carsten Stahl. Towards an understanding of global brain data governance: ethical positions that underpin global brain data governance discourse. Frontiers in big data. 2023, 6: 1240660
    Cited : 0
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  • 23)- Mengyun Sui, Minna Cheng, Sheng Zhang, Yuheng Wang, Qinghua Yan, Qinping Yang, Fei Wu, Long Xue, Yan Shi, Chen Fu. The digitized chronic disease management model: scalable strategies for implementing standardized healthcare and big data analytics in Shanghai. Frontiers in big data. 2023, 6: 1241296
    Cited : 2
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  • 24)- Turker Berk Donmez, Mohammed Mansour, Mustafa Kutlu, Chris Freeman, Shekhar Mahmud. Anemia detection through non-invasive analysis of lip mucosa images. Frontiers in big data. 2023, 6: 1241899
    Cited : 1
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  • 25)- Kellen Donahue, John S Kimball, Jinyang Du, Fredrick Bunt, Andreas Colliander, Mahta Moghaddam, Jesse Johnson, Youngwook Kim, Michael A Rawlins. Deep learning estimation of northern hemisphere soil freeze-thaw dynamics using satellite multi-frequency microwave brightness temperature observations. Frontiers in big data. 2023, 6: 1243559
    Cited : 1
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  • 26)- Deepak Kumar, Tessa Grosz, Navid Rekabsaz, Elisabeth Greif, Markus Schedl. Fairness of recommender systems in the recruitment domain: an analysis from technical and legal perspectives. Frontiers in big data. 2023, 6: 1245198
    Cited : 2
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  • 27)- Marten Düring, Matteo Romanello, Maud Ehrmann, Kaspar Beelen, Daniele Guido, Brecht Deseure, Estelle Bunout, Jana Keck, Petros Apostolopoulos. Text Reuse at Scale. An interface for the exploration of text reuse data in semantically enriched historical newspapers. Frontiers in big data. 2023, 6: 1249469
    Cited : 1
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  • 28)- Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald. Differential privacy in collaborative filtering recommender systems: a review. Frontiers in big data. 2023, 6: 1249997
    Cited : 4
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  • 29)- Namita Gupta. Editorial: Smart cities challenges, technologies and trends. Frontiers in big data. 2023, 6: 1258051
    Cited : 2
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  • 30)- 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. Frontiers in big data. 2023, 6: 1268503
    Cited : 0
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  • 31)- Thong Vu, Tyler Petty, Kemal Yakut, Muhammad Usman, Wei Xue, Francis M Haas, Robert A Hirsh, Xinghui Zhao. Real-time arrhythmia detection using convolutional neural networks. Frontiers in big data. 2023, 6: 1270756
    Cited : 0
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  • 32)- Luca Clissa, Mario Lassnig, Lorenzo Rinaldi. How big is Big Data? A comprehensive survey of data production, storage, and streaming in science and industry. Frontiers in big data. 2023, 6: 1271639
    Cited : 0
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  • 33)- Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao. Fast and adaptive dynamics-on-graphs to dynamics-of-graphs translation. Frontiers in big data. 2023, 6: 1274135
    Cited : 0
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  • 34)- Yajing Liu, Turgay Caglar, Christopher Peterson, Michael Kirby. Integrating geometries of ReLU feedforward neural networks. Frontiers in big data. 2023, 6: 1274831
    Cited : 0
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  • 35)- Rawan Elragal, Ahmed Elragal, Abdolrasoul Habibipour. Healthcare analytics-A literature review and proposed research agenda. Frontiers in big data. 2023, 6: 1277976
    Cited : 1
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  • 36)- Chenwei Yan, Xinyue Fang, Xiaotong Huang, Chenyi Guo, Ji Wu. A solution and practice for combining multi-source heterogeneous data to construct enterprise knowledge graph. Frontiers in big data. 2023, 6: 1278153
    Cited : 2
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  • 37)- Sebastian Lubos, Alexander Felfernig, Markus Tautschnig. An overview of video recommender systems: state-of-the-art and research issues. Frontiers in big data. 2023, 6: 1281614
    Cited : 3
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  • 38)- Ruipeng Tang, Narendra Kumar Aridas, Mohamad Sofian Abu Talip. Design of a data processing method for the farmland environmental monitoring based on improved Spark components. Frontiers in big data. 2023, 6: 1282352
    Cited : 0
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  • 39)- Alexander Felfernig, Manfred Wundara, Thi Ngoc Trang Tran, Seda Polat-Erdeniz, Sebastian Lubos, Merfat El Mansi, Damian Garber, Viet-Man Le. Recommender systems for sustainability: overview and research issues. Frontiers in big data. 2023, 6: 1284511
    Cited : 5
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  • 40)- Mohammed Mansour, Turker Berk Donmez, Mustafa Kutlu, Shekhar Mahmud. Non-invasive detection of anemia using lip mucosa images transfer learning convolutional neural networks. Frontiers in big data. 2023, 6: 1291329
    Cited : 0
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  • 41)- Lesia Mochurad, Andrii Sydor, Oleh Ratinskiy. A fast parallelized DBSCAN algorithm based on OpenMp for detection of criminals on streaming services. Frontiers in big data. 2023, 6: 1292923
    Cited : 3
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  • 42)- A K M Mubashwir Alam, Keke Chen. TEE-Graph: efficient privacy and ownership protection for cloud-based graph spectral analysis. Frontiers in big data. 2023, 6: 1296469
    Cited : 0
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  • 43)- Muhammad Tukur, Jens Schneider, Mowafa Househ, Ahmed Haruna Dokoro, Usman Idris Ismail, Muhammad Dawaki, Marco Agus. The metaverse digital environments: a scoping review of the challenges, privacy and security issues. Frontiers in big data. 2023, 6: 1301812
    Cited : 7
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  • 44)- Elisa Omodei, Dohyung Kim, Manuel Garcia-Herranz, Vedran Sekara. Editorial: Are machine learning, AI, and big data tools ready to be used for sustainable development? Challenges, and limitations of current approaches. Frontiers in big data. 2023, 6: 1301903
    Cited : 0
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  • 45)- Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier Duarte, Philip 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, Yali. Corrigendum: Applications and techniques for fast machine learning in science. Frontiers in big data. 2023, 6: 1301942
    Cited : 1
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  • 46)- Lin-Ching Chang, Anastasia Angelopoulou. Editorial: Women in AI medicine and public health 2022. Frontiers in big data. 2023, 6: 1303367
    Cited : 0
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  • 47)- . Erratum: Evaluation of methods for assigning causes of death from verbal autopsies in India. Frontiers in big data. 2023, 6: 1319729
    Cited : 0
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  • 48)- Shekhar Mahmud, Turker Berk Donmez, Mohammed Mansour, Mustafa Kutlu, Chris Freeman. Corrigendum: Anemia detection through non-invasive analysis of lip mucosa images. Frontiers in big data. 2023, 6: 1335213
    Cited : 0
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  • 49)- 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. Frontiers in big data. 2023, 6: 1343108
    Cited : 0
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  • 50)- Bo Zhao, Sarah Huepenbecker, Gen Zhu, Suja S Rajan, Kayo Fujimoto, Xi Luo. Comorbidity network analysis using graphical models for electronic health records. Frontiers in big data. 2023, 6: 846202
    Cited : 2
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