Most cited computer science papers
- Verified
Investigating temporal access in a flipped classroom: procrastination persists
AlJarrah, A., Thomas, M. K., & Shehab, M. (2018) · International Journal of Educational Technology in Higher Education
Online Learning and AnalyticsInnovative Teaching Methods
Cited by 86
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Access Control Policy Enforcement for Zero-Trust-Networking
Vanickis, R., Jacob, P., Dehghanzadeh, S., & Lee, B. (2018) · 2018 29th Irish Signals and Systems Conference (ISSC)
Access Control and TrustNetwork Packet Processing and Optimization
Cited by 86
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Learning programs by learning from failures
Cropper, A., & Morel, R. (2021) · Machine Learning
Logic, Reasoning, and KnowledgeData Mining Algorithms and Applications
Cited by 86
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Argument Mining for Understanding Peer Reviews
Hua, X., Nikolov, M., Badugu, N., & Wang, L. (2019) · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
Sentiment Analysis and Opinion MiningDiscourse Analysis in Language Studies
Cited by 86
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Real Time MODBUS Transmissions and Cryptography Security Designs and Enhancements of Protocol Sensitive Information
Shahzad, A., Lee, M., Lee, Y.-K., Kim, S., Xiong, N., Choi, J.-Y., & Cho, Y. (2015) · Symmetry
Advanced Authentication Protocols SecurityCryptographic Implementations and Security
Cited by 86
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Segmentation of Masses on Mammograms Using Data Augmentation and Deep Learning
Zeiser, F. A., da Costa, C. A., Zonta, T., Marques, N. M. C., Roehe, A. V., Moreno, M., & da Rosa Righi, R. (2020) · Journal of Digital Imaging
AI in cancer detectionMedical Image Segmentation Techniques
Cited by 86
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Behavior Transformers: Cloning k modes with one stone
Shafiullah, N. M. M., Cui, Z. J., Altanzaya, A., & Pinto, L. (2022) · arXiv
Advanced Clustering Algorithms ResearchTime Series Analysis and Forecasting
Cited by 86
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DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection
Yao, L., Han, J., Wen, Y., Liang, X., Xu, D., Zhang, W., Li, Z., Xu, C., & Xu, H. (2022) · arXiv
Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications
Cited by 86
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Predictive Modelling in Teaching and Learning
University of Michigan, U., Brooks, C., Thompson, C., & University of Saskatchewan, C. (2017) · Handbook of Learning Analytics
Online Learning and AnalyticsStatistics Education and Methodologies
Cited by 85
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Semantic Noise Matters for Neural Natural Language Generation
Dušek, O., Howcroft, D. M., & Rieser, V. (2019) · Proceedings of the 12th International Conference on Natural Language Generation
Topic ModelingNatural Language Processing Techniques
Cited by 85
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GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions
Wu, C., Huang, L., Zhang, Q., Li, B., Ji, L., Yang, F., Sapiro, G., & Duan, N. (2021) · arXiv
Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis
Cited by 85
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Latent Independent Excitation for Generalizable Sensor-based Cross-Person Activity Recognition
Qian, H., Pan, S. J., & Miao, C. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence
Context-Aware Activity Recognition SystemsDomain Adaptation and Few-Shot Learning
Cited by 85
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Artificial intelligence in multimodal learning analytics: a systematic literature review
Mohammadi, M., Tajik, E., Martinez-Maldonado, R., Sadiq, S., Tomaszewski, W., & Khosravi, H. (2025) · Computers and Education: Artificial Intelligence
Online Learning and AnalyticsArtificial Intelligence in Education
Cited by 85
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Identifying and Improving Disability Bias in GPT-Based Resume Screening
Glazko, K., Mohammed, Y., Kosa, B., Potluri, V., & Mankoff, J. (2024) · The 2024 ACM Conference on Fairness Accountability and Transparency
Ethics and Social Impacts of AIAI and HR Technologies
Cited by 85
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When Do You Need Billions of Words of Pretraining Data?
Zhang, Y., Warstadt, A., Li, X., & Bowman, S. R. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Topic ModelingNatural Language Processing Techniques
Cited by 85
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Mapping cortical laminar structure in the 3D BigBrain
Wagstyl, K., Lepage, C., Bludau, S., Zilles, K., Fletcher, P. C., Amunts, K., & Evans, A. C. (2018) · Cerebral Cortex
Medical Image Segmentation TechniquesAdvanced Neuroimaging Techniques and Applications
Cited by 85
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Turning Clicks into Purchases: Revenue Optimization for Product Search in E-Commerce
Wu, L., Hu, D., Hong, L., & Liu, H. (2018) · The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval
Information Retrieval and Search BehaviorRecommender Systems and Techniques
Cited by 85
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Digital Twin-based Intrusion Detection for Industrial Control Systems
Varghese, S. A., Dehlaghi Ghadim, A., Balador, A., Alimadadi, Z., & Papadimitratos, P. (2022) · 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)
Network Security and Intrusion DetectionSmart Grid Security and Resilience
Cited by 85
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Benchmarking scalability of stream processing frameworks deployed as microservices in the cloud
Henning, S., & Hasselbring, W. (2023) · arXiv
Cloud Computing and Resource ManagementAdvanced Database Systems and Queries
Cited by 85
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AI’s Regimes of Representation: A Community-centered Study of Text-to-Image Models in South Asia
Qadri, R., Shelby, R., Bennett, C. L., & Denton, R. (2023) · 2023 ACM Conference on Fairness Accountability and Transparency
Ethics and Social Impacts of AITechnology's Impact on Media
Cited by 85
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How to scale distributed deep learning?
Jin, P. H., Yuan, Q., Iandola, F., & Keutzer, K. (2016) · arXiv
Stochastic Gradient Optimization TechniquesDistributed Control Multi-Agent Systems
Cited by 85
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SWAPPED! Digital face presentation attack detection via weighted local magnitude pattern
Agarwal, A., Singh, R., Vatsa, M., & Noore, A. (2017) · 2017 IEEE International Joint Conference on Biometrics (IJCB)
Biometric Identification and SecurityFace recognition and analysis
Cited by 85
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Proactive Content Caching by Exploiting Transfer Learning for Mobile Edge Computing
Hou, T., Feng, G., Qin, S., & Jiang, W. (2017) · GLOBECOM 2017 - 2017 IEEE Global Communications Conference
Caching and Content DeliveryIoT and Edge/Fog Computing
Cited by 85
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Extending the Body for Interaction with Reality
Feuchtner, T., & Müller, J. (2017) · Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems
Virtual Reality Applications and ImpactsInteractive and Immersive Displays
Cited by 85
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