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ORCIDFrontiers in Big Data, Volume 7
Volume 7, 2024
- Claudia Negri-Ribalta
, Rémi Géraud-Stewart, Anastasia Sergeeva, Gabriele Lenzini:
A systematic literature review on the impact of AI models on the security of code generation. - Nicholas K. A. Hagan, John R. Talburt, Kris E. Anderson, Deasia Hagan:
A scalable MapReduce-based design of an unsupervised entity resolution system. - Yan Chen, Kate Sherren, Kyung Young Lee, Lori McCay-Peet, Shan Xue, Michael Smit:
From theory to practice: insights and hurdles in collecting social media data for social science research. - Laura Smets, Werner Van Leekwijck, Ing Jyh Tsang, Steven Latré:
An encoding framework for binarized images using hyperdimensional computing. - Marie-Olive Thaury, Simon Genet, Léopold Maurice, Paola Tubaro, Sarah J. Berkemer:
City composition and accessibility statistics in and around Paris. - Muhammad Saad, Rabia Noor Enam, Rehan Qureshi:
Optimizing multi-objective task scheduling in fog computing with GA-PSO algorithm for big data application. - Joe Germino, Annalisa Szymanski, Heather A. Eicher-Miller, Ronald A. Metoyer, Nitesh V. Chawla:
Corrigendum: A community focused approach toward making healthy and affordable daily diet recommendations. - Dominik Kowald, Deqing Yang, Emanuel Lacic:
Editorial: Reviews in recommender systems: 2022. - Raed Alsini, Qasem Abu Al-Haija, Abdulaziz A. Alsulami, Badraddin Alturki, Abdulaziz A. Alqurashi, Mouhamad D. Mashat, Ali Alqahtani, Nawaf Alhebaishi:
Forecasting cryptocurrency's buy signal with a bagged tree learning approach to enhance purchase decisions. - Pierpaolo Artioli, Antonio Maci, Alessio Magrì:
A comprehensive investigation of clustering algorithms for User and Entity Behavior Analytics. - Mohamudha Parveen Rahamathulla, W. R. Sam Emmanuel, A. Bindhu, Mohamed Mustaq Ahmed:
YOLOv8's advancements in tuberculosis identification from chest images. - Silke Schwandt, Christian Wachter:
Visualization as irritation: producing knowledge about medieval courts through uncertainty. - Imene Jemal, Wilfried Armand Naoussi Sijou, Belkacem Chikhaoui:
Multi-modal recommender system for predicting project manager performance within a competency-based framework. - Jianwu Wang, Junqi Yin, Mai H. Nguyen, Jingbo Wang, Weijia Xu:
Editorial: Big scientific data analytics on HPC and cloud. - Mathias Uta, Alexander Felfernig, Viet-Man Le, Thi Ngoc Trang Tran, Damian Garber, Sebastian Lubos, Tamim Burgstaller:
Knowledge-based recommender systems: overview and research directions. - Sherif Elmitwalli, John Mehegan:
Sentiment analysis of COP9-related tweets: a comparative study of pre-trained models and traditional techniques. - Elizabeth Newman, Lior Horesh, Haim Avron, Misha E. Kilmer:
Stable tensor neural networks for efficient deep learning. - Serban Stan, Mohammad Rostami:
Source-free domain adaptation for semantic image segmentation using internal representations. - Chao-Min Chang, Cheng-Te Li, Shou-De Lin:
Unilateral boundary time series forecasting. - Jeonghwan Im, Jaekyu Lee, Somin Lee, Hyuk-Yoon Kwon:
Data pipeline for real-time energy consumption data management and prediction. - Alina Amanzholova, Aysun Coskun:
Enhancing cancer stage prediction through hybrid deep neural networks: a comparative study. - Takuto Sakamoto, Momoko Araki, Hiroto Ito, Tomoyuki Matsuoka:
How different are offline and online diplomacy? A comparative analysis of public statements and SNS posts by delegates to the United Nations. - Elochukwu Ukwandu, Chaminda Hewage, Hanan Hindy:
Editorial: Cyber security in the wake of fourth industrial revolution: opportunities and challenges. - Grace Ataguba, Rita Orji:
Toward the design of persuasive systems for a healthy workplace: a real-time posture detection. - Qiu-Yan Yu, Ying Lin, Yu-Run Zhou, Xin-Jun Yang, Joris Hemelaar:
Predicting risk of preterm birth in singleton pregnancies using machine learning algorithms. - Dmitry Kolobkov, Satyarth Mishra Sharma, Aleksandr Medvedev, Mikhail Lebedev, Egor Kosaretskiy, Ruslan Vakhitov:
Efficacy of federated learning on genomic data: a study on the UK Biobank and the 1000 Genomes Project. - Kang Liu, Shi Geng, Ping Shen, Lei Zhao, Peng Zhou, Wen Liu:
Development and application of a machine learning-based predictive model for obstructive sleep apnea screening. - Alaa Marshan, Anwar Nais AlMutairi, Athina Ioannou, David Bell, Asmat Monaghan, Mahir Arzoky:
MedT5SQL: a transformers-based large language model for text-to-SQL conversion in the healthcare domain. - Jorge Mendez Astudillo:
The impact of comorbidities and economic inequality on COVID-19 mortality in Mexico: a machine learning approach. - Sujata Dash, Subhendu Kumar Pani, Wellington Pinheiro dos Santos:
Editorial: Internet of Medical Things and computational intelligence in healthcare 4.0. - Leatrice Talita Rodrigues, Barbara Sanches Antunes Goeldner, Emílio Graciliano Ferreira Mercuri, Steffen Manfred Noe:
Tradescantia response to air and soil pollution, stamen hair cells dataset and ANN color classification. - Cedric Waterschoot, Antal van den Bosch:
A time-robust group recommender for featured comments on news platforms. - Muhammad Aasem, Muhammad Javed Iqbal:
Toward explainable AI in radiology: Ensemble-CAM for effective thoracic disease localization in chest X-ray images using weak supervised learning. - Song Wang, Chris Tennant, Daniel Moser, Theo Larrieu, Jundong Li:
Graph learning for particle accelerator operations. - Qaiser Abbas, Tahir Alyas, Turki Alghamdi, Ahmad B. Alkhodre, Sami Saad Albouq, Mushtaq Niazi, Nadia Tabassum:
Redefining governance: a critical analysis of sustainability transformation in e-governance. - Sara Fuochi, Mara Rigamonti, Eoin C. O'Connor, Paolo De Girolamo, Livia D'Angelo:
Big data and its impact on the 3Rs: a home cage monitoring oriented review. - Mais Qandeel:
Facial recognition technology: regulations, rights and the rule of law. - David Mhlanga:
The role of big data in financial technology toward financial inclusion. - Jinghui Chen, Takayuki Mizuno, Shohei Doi:
Analyzing political party positions through multi-language twitter text embeddings. - Marianna Gonçalves Dias Chaves, Adriel Bilharva da Silva, Emílio Graciliano Ferreira Mercuri, Steffen Manfred Noe:
Particulate matter forecast and prediction in Curitiba using machine learning. - Yuri Bogomolov, Alexander Belyi, Stanislav Sobolevsky:
Urban delineation through a prism of intraday commute patterns. - Xiaoran Li, Xiaosong Han, Siqing Wei, Yanchun Liang, Renchu Guan:
Acupuncture and tuina knowledge graph with prompt learning. - Fiza Saeed Malik, Muhammad Haroon Yousaf, Hassan Ahmed Sial, Serestina Viriri:
Exploring dermoscopic structures for melanoma lesions' classification. - Junji Jiang, Chen Ling, Hongyi Li, Guangji Bai, Xujiang Zhao, Liang Zhao:
Quantifying uncertainty in graph neural network explanations. - Nineta Polemi, Isabel Praça, Kitty Kioskli, Adrien Bécue:
Challenges and efforts in managing AI trustworthiness risks: a state of knowledge. - Liu Feng, Yang Liu, Benyun Shi, Jiming Liu:
Toward a physics-guided machine learning approach for predicting chaotic systems dynamics. - Ahsan Shabbir, Abdul Haleem Butt, Taha Khan, Lorenzo Chiari, Ahmad S. Almadhor, Vincent Karovic:
Enhancing smart home environments: a novel pattern recognition approach to ambient acoustic event detection and localization. - Alan Said:
On explaining recommendations with Large Language Models: a review. - Philipp Brandt:
Data science's cultural construction: qualitative ideas for quantitative work. - Nicholas K. A. Hagan, John R. Talburt:
SparkDWM: a scalable design of a Data Washing Machine using Apache Spark. - Charles X. Ling, Ganyu Wang, Boyu Wang:
Sparse and Expandable Network for Google's Pathways. - Mohammed Ba-Aoum, Mohammed Alrezq, Jyotishka Datta, Konstantinos P. Triantis:
Predicting student self-efficacy in Muslim societies using machine learning algorithms. - Pouya Ataei:
Cybermycelium: a reference architecture for domain-driven distributed big data systems. - Gabrielle Dagasso, Matthias Wilms, Sarah J. MacEachern, Nils D. Forkert:
Application of a localized morphometrics approach to imaging-derived brain phenotypes for genotype-phenotype associations in pediatric mental health and neurodevelopmental disorders. - Peng Huang, Jiawen Shang, Yuhan Fan, Zhihui Hu, Jianrong Dai, Zhiqiang Liu, Hui Yan:
Unsupervised machine learning model for detecting anomalous volumetric modulated arc therapy plans for lung cancer patients. - Feras N. Al-Obeidat, Wael Hafez, Asrar Rashid, Mahir Khalil Jallo, Munier Gador, Ivan Cherrez-Ojeda, Daniel Simancas-Racines:
Artificial intelligence for the detection of acute myeloid leukemia from microscopic blood images; a systematic review and meta-analysis. - Hammad Ather, Sophie Berkman, Giuseppe Cerati, Matti J. Kortelainen, Ka Hei Martin Kwok, Steven Lantz, Seyong Lee, Boyana Norris, Michael Reid, Allison Reinsvold Hall, Daniel Riley, Alexei Strelchenko, Cong Wang:
Exploring code portability solutions for HEP with a particle tracking test code. - Yezi Liu, Hanning Chen, Mohsen Imani:
Promoting fairness in link prediction with graph enhancement. - Pavlos Papadopoulos, Sokratis K. Katsikas, Nikolaos Pitropakis:
Editorial: Cybersecurity and artificial intelligence: advances, challenges, opportunities, threats. - Opeyemi Lawal, Lawrence Goodridge:
TSPDB: a curated resource of tailspike proteins with potential applications in phage research. - Krishnashree Achuthan, Sasangan Ramanathan, Sethuraman Srinivas, Raghu Raman:
Advancing cybersecurity and privacy with artificial intelligence: current trends and future research directions. - Patchanok Srisuradetchai, Korn Suksrikran:
Random kernel k-nearest neighbors regression. - Guanchen Wu, Chen Ling, Ilana Graetz, Liang Zhao:
Ontology extension by online clustering with large language model agents. - Zarindokht Helforoush, Hossein Sayyad:
Prediction and classification of obesity risk based on a hybrid metaheuristic machine learning approach. - Wenjun Meng, Lili Chen, Zhaomin Dong:
The development and application of a novel E-commerce recommendation system used in electric power B2B sector. - Li Han, Shuaijie Zhu, Haoyang Zhao, Yanqiang He:
An enhanced whale optimization algorithm for task scheduling in edge computing environments. - Zohreh Raghebi, Farnoush Banaei Kashani:
ActiveReach: an active learning framework for approximate reachability query answering in large-scale graphs. - Manoj Kumar M. V, Nasser Almuraqab, Immanuel Azaad Moonesar, Udo Christian Braendle, Ananth Rao:
How critical is SME financial literacy and digital financial access for financial and economic development in the expanded BRICS block? - Rencheng Fang, Tao Zhou, Baohua Yu, Zhigang Li, Long Ma, Tao Luo, Yongcai Zhang, Xinqi Liu:
Prediction model of middle school student performance based on MBSO and MDBO-BP-Adaboost method. - Syed Taimoor Hussain Shah, Syed Adil Hussain Shah, Iqra Iqbal Khan, Atif Imran, Syed Baqir Hussain Shah, Atif Mehmood, Shahzad Ahmad Qureshi, Mudassar Raza, Angelo di Terlizzi, Marco Cavaglià, Marco Agostino Deriu:
Data-driven classification and explainable-AI in the field of lung imaging. - Petar Radanliev, David De Roure, Carsten Maple, Jason R. C. Nurse, Razvan Nicolescu, Uchenna Ani:
AI security and cyber risk in IoT systems. - Anna Aksenova, Anoop Johny, Tim Adams, Philip Gribbon, Marc Jacobs, Martin Hofmann-Apitius:
Current state of data stewardship tools in life science. - Abinaya Chandrasekar, Sigrún Eyrúnardóttir Clark, Sam Martin, Samantha Vanderslott, Elaine C. Flores, David Aceituno, Phoebe Barnett, Cecilia Vindrola-Padros, Norha Vera San Juan:
Making the most of big qualitative datasets: a living systematic review of analysis methods. - Dominik Kowald, Sebastian Scher, Viktoria Pammer-Schindler, Peter Müllner, Kerstin Waxnegger, Lea Demelius, Angela Fessl, Maximilian Toller, Inti Gabriel Mendoza Estrada, Ilija Simic, Vedran Sabol, Andreas Trügler, Eduardo E. Veas, Roman Kern, Tomislav Nad, Simone Kopeinik:
Establishing and evaluating trustworthy AI: overview and research challenges. - Manoj Kumar M. V, Nasser Almuraqab, Immanuel Azaad Moonesar, Udo Christian Braendle, Ananth Rao:
How does digitally enabled micro-finance promote income equality for the vulnerable in the expanded BRICS block during the pandemic? - Jay Darji, Nupur Biswas, Vijay Padul, Jaya Gill, Santosh Kesari, Shashaanka Ashili:
Efficient use of binned data for imputing univariate time series data. - Bilal Abu-Salih, Salihah Alotaibi, Manaf Al-Okaily, Mohammed Aljaafari, Muder Almiani:
Credibility-based knowledge graph embedding for identifying social brand advocates. - Aravinda C. V, Sudeepa K. B, S. Pradeep, P. Suraksha, Meng Lin:
Leveraging compact convolutional transformers for enhanced COVID-19 detection in chest X-rays: a grad-CAM visualization approach. - Po-Chi Hsu, Jia-Ming Chen, Chia-Chu Chang, Yu-Jun Chang, Ping-Fang Chiu, John Y. Chiang, Lun-chien Lo:
Exploring the pivotal variables of tongue diagnosis between patients with chronic kidney disease and health participants. - Rapuru Rushendran, Vellapandian Chitra:
Exploring infodemiology: unraveling the intricate relationships among stress, headaches, migraines, and suicide through Google Trends analysis. - Revathy Venkataramanan, Aalap Tripathy, Tarun Kumar, Sergey Serebryakov, Annmary Justine, Arpit Shah, Suparna Bhattacharya, Martin Foltin, Paolo Faraboschi, Kaushik Roy, Amit P. Sheth:
Constructing a metadata knowledge graph as an atlas for demystifying AI pipeline optimization. - Xukang Wang, Ying Cheng Wu, Mengjie Zhou, Hongpeng Fu:
Beyond surveillance: privacy, ethics, and regulations in face recognition technology. - Vasundhara Kaul, Tamalika Mukherjee:
Equitable differential privacy. - Julie Anne Holanda Azevedo, Demostenis Ramos Cassiano, Bruno Vieira Bertoncini:
Real driving cycles and emissions for urban freight transport. - Negar Etemadyrad, Yuyang Gao, Sai Manoj Pudukotai Dinakarrao, Liang Zhao:
Global explanation supervision for Graph Neural Networks. - Bowen Yang, Linlin Yu, Feng Chen:
Camera-view supervision for bird's-eye-view semantic segmentation. - Fatima Habib, Zeeshan Ali, Akbar Azam, Komal Kamran, Fahad Mansoor Pasha:
Navigating pathways to automated personality prediction: a comparative study of small and medium language models. - Anagha Joshi:
Big data and AI for gender equality in health: bias is a big challenge. - Ahmad R. Alsaber, Adeeba Al-Herz, Balqees Alawadhi, Iyad Abu Doush, Parul Setiya, Ahmad T. Al-Sultan, Khulood Saleh, Adel Al-Awadhi, Eman Hasan, Waleed Al-Kandari, Khalid Mokaddem, Aqeel A. Ghanem, Yousef Attia, Mohammed Hussain, Naser Alhadhood, Yaser Ali, Hoda Tarakmeh, Ghaydaa Aldabie, Amjad Alkadi, Hebah Alhajeri:
Machine learning-based remission prediction in rheumatoid arthritis patients treated with biologic disease-modifying anti-rheumatic drugs: findings from the Kuwait rheumatic disease registry. - Christoph Deppe, Gary S. Schaal:
Cognitive warfare: a conceptual analysis of the NATO ACT cognitive warfare exploratory concept. - Haoliang Wang, Chen Zhao, Feng Chen:
Efficient out-of-distribution detection via layer-adaptive scoring and early stopping. - Shivika Prasanna, Ajay Kumar, Deepthi S. Rao, Eduardo J. Simões, Praveen Rao:
A scalable tool for analyzing genomic variants of humans using knowledge graphs and graph machine learning. - Zhuang Xiong, Jun Ma, Bohang Chen, Haiming Lan, Yong Niu:
Multi-source data recognition and fusion algorithm based on a two-layer genetic algorithm-back propagation model. - Bylhah Mugotitsa, Tathagata Bhattacharjee, Michael Ochola, Dorothy Mailosi, David Amadi, Pauline Andeso, Joseph Kuria, Reinpeter Momanyi, Evans Omondi, Dan Kajungu, Jim Todd, Agnes Kiragga, Jay Greenfield:
Integrating longitudinal mental health data into a staging database: harnessing DDI-lifecycle and OMOP vocabularies within the INSPIRE Network Datahub. - Enes Altuncu, Virginia N. L. Franqueira, Shujun Li:
Deepfake: definitions, performance metrics and standards, datasets, and a meta-review. - Tsz Kin Chau, Paul Bourke, Lily Hibberd, Daniel Jaquet, Sarah Kenderdine:
Cultural big data: nineteenth to twenty-first century panoramic visualization. - V. E. Sathishkumar:
Editorial: Utilizing big data and deep learning to improve healthcare intelligence and biomedical service delivery. - Yan Wu, Yunzhi Jin:
Efficient enhancement of low-rank tensor completion via thin QR decomposition. - Sherif Elmitwalli, John Mehegan, Allen Gallagher, Raouf Alebshehy:
Enhancing sentiment and intent analysis in public health via fine-tuned Large Language Models on tobacco and e-cigarette-related tweets. - Guan-Jiang Huang, Zhi-Jun Fan, Biao-Qing Lu:
Cross-border collaboration, communication, and research frontiers on biologics in chronic rhinosinusitis from 2004 to 2023. - Daniela D'Auria, Fabio Bettini, Selene Tognarelli, Diego Calvanese, Arianna Menciassi:
Technologies and main functionalities of the telemonitoring application reCOVeryaID. - Stephan Räss, Markus C. Leuenberger:
Analysis and prediction of atmospheric ozone concentrations using machine learning. - Xiaoyao Han, Oskar Josef Gstrein, Vasilios Andrikopoulos:
When we talk about Big Data, What do we really mean? Toward a more precise definition of Big Data.
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last updated on 2025-07-02 20:14 CEST by the dblp team
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