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Publication search results
found 45 matches
- 2024
- 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. Frontiers Big Data 7 (2024) - 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. Frontiers Big Data 7 (2024) - 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. Frontiers Big Data 7 (2024) - Alina Amanzholova, Aysun Coskun:
Enhancing cancer stage prediction through hybrid deep neural networks: a comparative study. Frontiers Big Data 7 (2024) - Pierpaolo Artioli, Antonio Maci, Alessio Magrì:
A comprehensive investigation of clustering algorithms for User and Entity Behavior Analytics. Frontiers Big Data 7 (2024) - Jorge Mendez Astudillo:
The impact of comorbidities and economic inequality on COVID-19 mortality in Mexico: a machine learning approach. Frontiers Big Data 7 (2024) - Grace Ataguba, Rita Orji:
Toward the design of persuasive systems for a healthy workplace: a real-time posture detection. Frontiers Big Data 7 (2024) - Yuri Bogomolov, Alexander Belyi, Stanislav Sobolevsky:
Urban delineation through a prism of intraday commute patterns. Frontiers Big Data 7 (2024) - Chao-Min Chang, Cheng-Te Li, Shou-De Lin:
Unilateral boundary time series forecasting. Frontiers Big Data 7 (2024) - 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. Frontiers Big Data 7 (2024) - Jinghui Chen, Takayuki Mizuno, Shohei Doi:
Analyzing political party positions through multi-language twitter text embeddings. Frontiers Big Data 7 (2024) - 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. Frontiers Big Data 7 (2024) - Sujata Dash, Subhendu Kumar Pani, Wellington Pinheiro dos Santos:
Editorial: Internet of Medical Things and computational intelligence in healthcare 4.0. Frontiers Big Data 7 (2024) - Sherif Elmitwalli, John Mehegan:
Sentiment analysis of COP9-related tweets: a comparative study of pre-trained models and traditional techniques. Frontiers Big Data 7 (2024) - 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. Frontiers Big Data 7 (2024) - 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. Frontiers Big Data 7 (2024) - Nicholas K. A. Hagan, John R. Talburt, Kris E. Anderson, Deasia Hagan:
A scalable MapReduce-based design of an unsupervised entity resolution system. Frontiers Big Data 7 (2024) - Jeonghwan Im, Jaekyu Lee, Somin Lee, Hyuk-Yoon Kwon:
Data pipeline for real-time energy consumption data management and prediction. Frontiers Big Data 7 (2024) - Imene Jemal, Wilfried Armand Naoussi Sijou, Belkacem Chikhaoui:
Multi-modal recommender system for predicting project manager performance within a competency-based framework. Frontiers Big Data 7 (2024) - Junji Jiang, Chen Ling, Hongyi Li, Guangji Bai, Xujiang Zhao, Liang Zhao:
Quantifying uncertainty in graph neural network explanations. Frontiers Big Data 7 (2024) - 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. Frontiers Big Data 7 (2024) - Dominik Kowald, Deqing Yang, Emanuel Lacic:
Editorial: Reviews in recommender systems: 2022. Frontiers Big Data 7 (2024) - Xiaoran Li, Xiaosong Han, Siqing Wei, Yanchun Liang, Renchu Guan:
Acupuncture and tuina knowledge graph with prompt learning. Frontiers Big Data 7 (2024) - 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. Frontiers Big Data 7 (2024) - Fiza Saeed Malik, Muhammad Haroon Yousaf, Hassan Ahmed Sial, Serestina Viriri:
Exploring dermoscopic structures for melanoma lesions' classification. Frontiers Big Data 7 (2024) - 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. Frontiers Big Data 7 (2024) - David Mhlanga:
The role of big data in financial technology toward financial inclusion. Frontiers Big Data 7 (2024) - Elizabeth Newman, Lior Horesh, Haim Avron, Misha E. Kilmer:
Stable tensor neural networks for efficient deep learning. Frontiers Big Data 7 (2024) - Nineta Polemi, Isabel Praça, Kitty Kioskli, Adrien Bécue:
Challenges and efforts in managing AI trustworthiness risks: a state of knowledge. Frontiers Big Data 7 (2024) - Mais Qandeel:
Facial recognition technology: regulations, rights and the rule of law. Frontiers Big Data 7 (2024)
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