Most cited computer science papers
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When POS data sets don’t add up: Combatting sample bias
Hovy, D., Plank, B., & Søgaard, A. (2014) · Proceedings of the Language Resources and Evaluation Conference
Natural Language Processing TechniquesSentiment Analysis and Opinion Mining
Cited by 14
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Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning
Wang, S., Yu, L., Gao, C., Zheng, C., Liu, S., Lu, R., Dang, K., Chen, X., Yang, J., Zhang, Z., et al. (2025) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 14
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A socialbots analysis-driven graph-based approach for identifying coordinated campaigns in twitter
Fazil, M., & Abulaish, M. (2020) · Journal of Intelligent & Fuzzy Systems
Spam and Phishing DetectionMisinformation and Its Impacts
Cited by 14
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MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts
Liang, W., & Zou, J. (2022) · arXiv
Domain Adaptation and Few-Shot LearningMachine Learning and Data Classification
Cited by 14
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Exploiting the Separable Structure of SLAM
Khosoussi, K., Huang, S., & Dissanayake, G. (2015) · Robotics: Science and Systems XI
Robotics and Sensor-Based LocalizationTarget Tracking and Data Fusion in Sensor Networks
Cited by 14
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Latent Multi-Task Architecture Learning
Ruder, S., Bingel, J., Augenstein, I., & Søgaard, A. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence
Domain Adaptation and Few-Shot LearningTopic Modeling
Cited by 14
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Toward Scalable and Unified Example-Based Explanation and Outlier Detection
Chong, P., Cheung, N.-M., Elovici, Y., & Binder, A. (2022) · IEEE Transactions on Image Processing
Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications
Cited by 14
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Glam: Fine-tuning large language models for domain knowledge graph alignment via neighborhood partitioning and generative subgraph encoding
Dernbach, S., Agarwal, K., Zuniga, A., Henry, M., & Choudhury, S. (2024) · Proceedings of the AAAI Symposium Series
Topic ModelingAdvanced Graph Neural Networks
Cited by 14
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Relational and NoSQL Databases: The Appropriate Database Model Choice
Hassan, M. A. (2021) · 2021 22nd International Arab Conference on Information Technology (ACIT)
Advanced Database Systems and QueriesCloud Computing and Resource Management
Cited by 14
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The Application of Chaotic Maps in Image-Encryption
Zou, J., Xiong, C., Qi, D., & Ward, R. K. (2005) · The 3rd International IEEE-NEWCAS Conference, 2005.
Chaos-based Image/Signal EncryptionComputer Science and Engineering
Cited by 14
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“I Think You Might Like This”: Exploring Effects of Confidence Signal Patterns on Trust in and Reliance on Conversational Recommender Systems
Radensky, M., Séguin, J. A., Lim, J. S., Olson, K., & Geiger, R. (2023) · 2023 ACM Conference on Fairness Accountability and Transparency
Recommender Systems and TechniquesAI in Service Interactions
Cited by 14
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QASiNa: Religious Domain Question Answering Using Sirah Nabawiyah
Rizqullah, M. R., Purwarianti, A., & Aji, A. F. (2023) · 2023 10th International Conference on Advanced Informatics: Concept, Theory and Application (ICAICTA)
Topic ModelingNatural Language Processing Techniques
Cited by 14
- VerifiedRetracted
Artificial Intelligence Algorithm-Based Computerized Tomography Image Features Combined with Serum Tumor Markers for Diagnosis of Pancreatic Cancer
Qiao, Z., Ge, J., He, W., Xu, X., & He, J. (2022) · Computational and Mathematical Methods in Medicine
AI in cancer detectionRadiomics and Machine Learning in Medical Imaging
Cited by 14
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Zero-trust design and assurance patterns for cyber–physical systems
Hasan, S., Amundson, I., & Hardin, D. (2024) · Journal of Systems Architecture
Access Control and TrustInformation and Cyber Security
Cited by 14
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A novel color image encryption algorithm based on fractional-order conservative memristive hyperchaotic system and extended zig-zag transform
Meng, F., Wu, G., & Zhang, J. (2025) · Journal of King Saud University Computer and Information Sciences
Chaos-based Image/Signal EncryptionComputer Science and Engineering
Cited by 14
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Semi-automated level design via auto-playtesting for handheld casual game creation
Powley, E. J., Colton, S., Gaudl, S., Saunders, R., & Nelson, M. J. (2016) · 2016 IEEE Conference on Computational Intelligence and Games (CIG)
Artificial Intelligence in GamesDigital Games and Media
Cited by 14
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Collaborating with language models for embodied reasoning
Dasgupta, I., Kaeser-Chen, C., Marino, K., Ahuja, A., Babayan, S., Hill, F., & Fergus, R. (2023) · arXiv
Reinforcement Learning in RoboticsAI-based Problem Solving and Planning
Cited by 14
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Wan: Open and Advanced Large-Scale Video Generative Models
Wan, T., Wang, A., Ai, B., Wen, B., Mao, C., Xie, C.-W., Chen, D., Yu, F., Zhao, H., Yang, J., et al. (2025) · arXiv
Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications
Cited by 14
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Mozi IoT Malware and Its Botnets: From Theory To Real-World Observations
Sahota, J., & Vlajic, N. (2021) · 2021 International Conference on Computational Science and Computational Intelligence (CSCI)
Network Security and Intrusion DetectionAdvanced Malware Detection Techniques
Cited by 14
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Women in the Free/Libre Open Source Software Development
Lin, Y. (2006) · Encyclopedia of Gender and Information Technology
Open Source Software InnovationsGender and Technology in Education
Cited by 14
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Vehicles detection system at different weather conditions
Abdullah, M. N., & Ali, Y. H. (2021) · Iraqi Journal of Science
Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety
Cited by 14
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Shedding Light on the Adoption of Let's Encrypt
Manousis, A., Ragsdale, R., Draffin, B., Agrawal, A., & Sekar, V. (2016) · arXiv
Web Application Security VulnerabilitiesPrivacy, Security, and Data Protection
Cited by 14
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Controlling widgets with one power-up button
Spelmezan, D., Appert, C., Chapuis, O., & Pietriga, E. (2013) · Proceedings of the 26th annual ACM symposium on User interface software and technology
Interactive and Immersive DisplaysHand Gesture Recognition Systems
Cited by 14
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Intrusion Detection Method Based on Support Vector Machine Access of Modbus TCP Protocol
Deng, L., Peng, Y., Liu, C., Xin, X., & Xie, Y. (2016) · 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)
Network Security and Intrusion DetectionSmart Grid Security and Resilience
Cited by 14
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