Most cited computer science papers
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Token Reduction Should Go Beyond Efficiency in Generative Models -- From Vision, Language to Multimodality
Kong, Z., Li, Y., Zeng, F., Xin, L., Messica, S., Lin, X., Zhao, P., Kellis, M., Tang, H., & Zitnik, M. (2025) · arXiv
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 51
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Effects of restorative environment and presence on anxiety and depression based on interactive virtual reality scenarios
Wang, Z., Li, Y., An, J., Dong, W., Li, H., Ma, H., Wang, J., Wu, J., Jiang, T., & Wang, G. (2022) · International Journal of Environmental Research and Public Health
Virtual Reality Applications and ImpactsDigital Mental Health Interventions
Cited by 51
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The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligence
Slattery, P., Saeri, A. K., Grundy, E. A. C., Graham, J., Noetel, M., Uuk, R., Dao, J., Pour, S., Casper, S., & Thompson, N. (2024) · arXiv
Ethics and Social Impacts of AIDigitalization, Law, and Regulation
Cited by 51
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Guest Editors' Introduction: Artificial Intelligence for Homeland Security
Chen, H., & Wang, F.-Y. (2005) · IEEE Intelligent Systems
Data Mining Algorithms and ApplicationsIntelligence, Security, War Strategy
Cited by 51
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Adapting Self-Regulated Learning in an Age of Generative Artificial Intelligence Chatbots
Lai, J. W. (2024) · Future Internet
Intelligent Tutoring Systems and Adaptive LearningInnovative Teaching and Learning Methods
Cited by 51
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Augmented reality (AR) marketing and consumer responses: a study of cue-utilization and habituation
Söderström, C., Mikalef, P., Dypvik Landmark, A., & Gupta, S. (2024) · Journal of Business Research
Augmented Reality ApplicationsConsumer Retail Behavior Studies
Cited by 51
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Building secure microservices-based applications using service-mesh architecture
Chandramouli, R., & Butcher, Z. (2020)
Software System Performance and ReliabilitySecurity and Verification in Computing
Cited by 51
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ProoFVer: Natural Logic Theorem Proving for Fact Verification
Krishna, A., Riedel, S., & Vlachos, A. (2022) · Transactions of the Association for Computational Linguistics
Topic ModelingMisinformation and Its Impacts
Cited by 51
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MME-YOLO: Multi-Sensor Multi-Level Enhanced YOLO for Robust Vehicle Detection in Traffic Surveillance
Zhu, J., Li, X., Jin, P., Xu, Q., Sun, Z., & Song, X. (2020) · Sensors
Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety
Cited by 51
- VerifiedRetracted
[Retracted] An Automated Deep Learning Model for the Cerebellum Segmentation from Fetal Brain Images
Sreelakshmy, R., Titus, A., Sasirekha, N., Logashanmugam, E., Begam, R. B., Ramkumar, G., & Raju, R. (2022) · BioMed Research International
Medical Image Segmentation TechniquesBrain Tumor Detection and Classification
Cited by 51
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Blockchain-based Notarization for Social Media
Song, G., Kim, S., Hwang, H., & Lee, K. (2019) · 2019 IEEE International Conference on Consumer Electronics (ICCE)
Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning
Cited by 51
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The federated tumor segmentation (FeTS) tool: an open-source solution to further solid tumor research
Pati, S., Baid, U., Edwards, B., Sheller, M. J., Foley, P., Anthony Reina, G., Thakur, S., Sako, C., Bilello, M., Davatzikos, C., et al. (2022) · Physics in Medicine & Biology
Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques
Cited by 51
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Audio and face video emotion recognition in the wild using deep neural networks and small datasets
Ding, W., Xu, M., Huang, D., Lin, W., Dong, M., Yu, X., & Li, H. (2016) · Proceedings of the 18th ACM International Conference on Multimodal Interaction
Emotion and Mood RecognitionFace and Expression Recognition
Cited by 51
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From principles to practices: the intertextual interaction between AI ethical and legal discourses
Cheng, L., & Liu, X. (2023) · International Journal of Legal Discourse
Ethics and Social Impacts of AIDigitalization, Law, and Regulation
Cited by 51
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FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation
Hofstätter, S., Chen, J., Raman, K., & Zamani, H. (2023) · Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
Topic ModelingInformation Retrieval and Search Behavior
Cited by 51
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Artificial intelligence bias in the prediction and detection of cardiovascular disease
Mihan, A., Pandey, A., & Van Spall, H. G. C. (2024) · npj Cardiovascular Health
Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education
Cited by 51
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Transcriptomics-Guided Slide Representation Learning in Computational Pathology
Jaume, G., Oldenburg, L., Vaidya, A., Chen, R. J., Williamson, D. F. K., Peeters, T., Song, A. H., & Mahmood, F. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
AI in cancer detectionRadiomics and Machine Learning in Medical Imaging
Cited by 51
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Don't trust your eyes: image manipulation in the age of DeepFakes
Langguth, J., Pogorelov, K., Brenner, S., Filkuková, P., & Schroeder, D. T. (2021) · Frontiers in Communication
Digital Media Forensic DetectionMisinformation and Its Impacts
Cited by 51
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Scaling Laws for Transfer
Hernandez, D., Kaplan, J., Henighan, T., & McCandlish, S. (2021) · arXiv
Domain Adaptation and Few-Shot LearningTopic Modeling
Cited by 51
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Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness
Lyu, L., He, X., & Li, Y. (2020) · Findings of the Association for Computational Linguistics: EMNLP 2020
Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection
Cited by 51
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A Nighttime Vehicle Detection Method Based on YOLO v3
Miao, Y., Liu, F., Hou, T., Liu, L., & Liu, Y. (2020) · 2020 Chinese Automation Congress (CAC)
Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety
Cited by 51
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Play Favorites: A Statistical Method to Measure Self-Bias in LLM-as-a-Judge
Spiliopoulou, E., Fogliato, R., Burnsky, H., Soliman, T., Ma, J., Horwood, G., & Ballesteros, M. (2025) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 51
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A survey of embedding models of entities and relationships for knowledge graph completion
Nguyen, D. Q. (2017) · arXiv
Advanced Graph Neural NetworksTopic Modeling
Cited by 51
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Quantum Algorithms for Mixed Binary Optimization Applied to Transaction Settlement
Braine, L., Egger, D. J., Glick, J., & Woerner, S. (2021) · IEEE Transactions on Quantum Engineering
Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research
Cited by 51
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