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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.
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last updated on 2024-11-27 20:17 CET by the dblp team
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