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Publication search results
found 7,107 matches
- 2023
- Aarti, Jagat Sesh Challa, Utkarsh Darolia, Mridul Chandak, Poonam Goyal, Navneet Goyal:
An Adaptive Hierarchical Method for Anytime Set-wise Clustering of Variable and High-Speed Data Streams. IEEE Big Data 2023: 568-577 - Chaabane Abdelali, Yachba Khadidja, Ladjel Bellatreche:
Optimization of Dangerous Goods Stowage: A Hybrid Approach between Faster R-CNN and Coronavirus Metaheuristic. IEEE Big Data 2023: 2561-2569 - Ehab Abdelhamid, Amirhossein Aleyasen, Michael Duller, Eric Foratier, Vincent Fruleux, Mirella Katch, Gourab Mitra, Rima Mutreja, Jozsef Patvarczki, Matthew Pope, Nikos Tsikoudis, F. Michael Waas:
How Global Retailer ADEO Migrated to Google BigQuery with Database Virtualization. IEEE Big Data 2023: 1895-1898 - Mohammad Abu-Shaira, Alejandro Rodriguez, Greg Speegle, Victor S. Sheng, Ishfaq Ahmad:
OLR-WA: Online Weighted Average Linear Regression in Multivariate Data Streams. IEEE Big Data 2023: 1039-1046 - Eliran Abutbul, Yohay Kaplan, Naama Krasne, Oren Somekh, Or David, Omer Duvdevany, Evgeny Segal:
Audience Prospecting for Dynamic-Product-Ads in Native Advertising. IEEE Big Data 2023: 1571-1580 - Kutay Acar, Günce Keziban Orman, Sultan Nezihe Turhan:
An Empirical Study of Covid-19 Effect on Health Care Workers' Career Development. IEEE Big Data 2023: 4826-4833 - Digya Acharya, Hera Siddiqui, Eduardo Pasiliao, Chaity Banerjee:
Mutually Exclusive Learning for Generators with Multi-Label Classifiers. IEEE Big Data 2023: 4258-4267 - Irsyad Adam, Alex Waagen, Dana Warmsley, Jiejun Xu:
Learning Explainable Multi-view Representations for Malware Authorship Attribution. IEEE Big Data 2023: 3099-3106 - Dolev Adas, Ohad Eytan, Guy Khazma, Josep Sampé, Paula Ta-Shma:
Refactoring ETL Flows in The Wild. IEEE Big Data 2023: 1581-1590 - Ademola Adesokan, Sanjay Madria:
NeuEmot: Mitigating Neutral Label and Reclassifying False Neutrals in the 2022 FIFA World Cup via Low-Level Emotion. IEEE Big Data 2023: 578-587 - Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea:
Incorporating Emotions into Health Mention Classification Task on Social Media. IEEE Big Data 2023: 4834-4842 - Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea:
Religion and Spirituality on Social Media in the Aftermath of the Global Pandemic. IEEE Big Data 2023: 5704-5713 - Gabriel Jonas Aguiar, Alberto Cano:
Enhancing Concept Drift Detection in Drifting and Imbalanced Data Streams through Meta-Learning. IEEE Big Data 2023: 2648-2657 - Juliana Marie Agulto, Yeohan Lorenzo Noroña, Gian Carlo Gutierrez, Eric Benabaye, Geanne Franco, Ann Franchesca Laguna, Jocelynn Cu, Joel Ilao, Macario O. Cordel II:
Development of a Computer Vision-Based Road Physical Feature Extraction. IEEE Big Data 2023: 1470-1475 - Yongsu Ahn, Muheng Yan, Yu-Ru Lin, Zian Wang:
HungerGist: An Interpretable Predictive Model for Food Insecurity. IEEE Big Data 2023: 1591-1600 - Leman Akoglu, Jaemin Yoo:
Self-Supervision for Tackling Unsupervised Anomaly Detection: Pitfalls and Opportunities. IEEE Big Data 2023: 1047-1051 - Melike Yildiz Aktas, Lulwah Alkulaib, Chang-Tien Lu:
UniMHe: Unified Multi Hyperedge Prediction A Case Study on Crime Dataset. IEEE Big Data 2023: 5134-5139 - Mst. Shapna Akter, Juanjose Rodriguez-Cardenas, Hossain Shahriar, Alfredo Cuzzocrea, Fan Wu:
Quantum Cryptography for Enhanced Network Security: A Comprehensive Survey of Research, Developments, and Future Directions. IEEE Big Data 2023: 5408-5417 - Mst. Shapna Akter, Hossain Shahriar, Alfredo Cuzzocrea, Fan Wu, Juanjose Rodriguez-Cardenas:
A Trustable LSTM-Autoencoder Network for Cyberbullying Detection on Social Media Using Synthetic Data. IEEE Big Data 2023: 5418-5427 - Kinan Al-Attar, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda:
MPI4Spark Meets YARN: Enhancing MPI4Spark through YARN support for HPC. IEEE Big Data 2023: 2265-2274 - Omid Isfahani Alamdari, Mirco Nanni, Agnese Bonavita:
On the pursuit of Graph Embedding Strategies for Individual Mobility Networks. IEEE Big Data 2023: 4382-4391 - Shabbab Algamdi, Stephanie Ludi:
Enhancing Digital Learning: A Usability Evaluation of the Canvas LMS at the University of North Texas A Pilot Study at the University of North Texas. IEEE Big Data 2023: 6101-6103 - Alberto Algarra, David Muelas:
BBVA AI Factory at FinCausal 2023: a RoBERTa Fine-tuned Model for Causal Detection. IEEE Big Data 2023: 2798-2801 - Lulwah Alkulaib, Chang-Tien Lu:
Balancing the Scales: HyperSMOTE for Enhanced Hypergraph Classification. IEEE Big Data 2023: 5140-5145 - Ibrahim Almubark:
Brain Stroke Prediction Using Machine Learning Techniques. IEEE Big Data 2023: 6104-6108 - Nawras Alnaasan, Matthew Lieber, Aamir Shafi, Hari Subramoni, Scott A. Shearer, Dhabaleswar K. Panda:
HARVEST: High-Performance Artificial Vision Framework for Expert Labeling using Semi-Supervised Training. IEEE Big Data 2023: 139-148 - Ibraheem Aloran, Saeed Samet:
Defending Federated Learning Against Model Poisoning Attacks. IEEE Big Data 2023: 3584-3589 - Fatimah Alotaibi, Dawei Zhou:
Towards Bi-Level Out-of-Distribution Logical Reasoning on Knowledge Graphs. IEEE Big Data 2023: 1-5 - Manal A. Alshehri, Xiangliang Zhang:
Forgetting User Preference in Recommendation Systems with Label-Flipping. IEEE Big Data 2023: 271-281 - Jaehyuk An, Younghoon Kwon, Yoon-Sik Cho:
A Supervised Autoencoder for Human Activity Recognition with Inertial Sensors. IEEE Big Data 2023: 1-5
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