Most cited computer science papers
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A Multimodal Dataset for Mixed Emotion Recognition
Yang, P., Liu, N., Liu, X., Shu, Y., Ji, W., Ren, Z., Sheng, J., Yu, M., Yi, R., Zhang, D., et al. (2024) · Scientific Data
Emotion and Mood RecognitionSentiment Analysis and Opinion Mining
Cited by 37
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Daily Locomotion Recognition and Prediction: A Kinematic Data-Based Machine Learning Approach
Figueiredo, J., Carvalho, S. P., Goncalve, D., Moreno, J. C., & Santos, C. P. (2020) · IEEE Access
Context-Aware Activity Recognition SystemsGait Recognition and Analysis
Cited by 37
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VideoCrafter1: Open Diffusion Models for High-Quality Video Generation
Chen, H., Xia, M., He, Y., Zhang, Y., Cun, X., Yang, S., Xing, J., Liu, Y., Chen, Q., Wang, X., et al. (2023) · arXiv
Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications
Cited by 37
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A Fine-Tuned Bidirectional Encoder Representations From Transformers Model for Food Named-Entity Recognition: Algorithm Development and Validation
Stojanov, R., Popovski, G., Cenikj, G., Koroušić Seljak, B., & Eftimov, T. (2021) · Journal of Medical Internet Research
Topic ModelingBiomedical Text Mining and Ontologies
Cited by 37
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Perceptually significant spatial pooling techniques for image quality assessment
Moorthy, A. K., & Bovik, A. C. (2009) · SPIE Proceedings
Image and Video Quality AssessmentImage Retrieval and Classification Techniques
Cited by 37
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Efficient verification of boson sampling
Chabaud, U., Grosshans, F., Kashefi, E., & Markham, D. (2021) · Quantum
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 37
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EvilGenie: A Reward Hacking Benchmark
Gabor, J., Lynch, J., & Rosenfeld, J. (2025) · arXiv
Software Engineering ResearchSoftware Testing and Debugging Techniques
Cited by 37
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“Can I have the scan on Tuesday?” User repair in interaction with a task-oriented chatbot and the question of communication skills for AI
Dippold, D. (2023) · Journal of Pragmatics
Speech and dialogue systemsAI in Service Interactions
Cited by 37
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Marrying Fairness and Explainability in Supervised Learning
Grabowicz, P. A., Perello, N., & Mishra, A. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 37
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RevMiner: an extractive interface for navigating reviews on a smartphone
Huang, J., Etzioni, O., Zettlemoyer, L., Clark, K., & Lee, C. (2012) · Proceedings of the 25th annual ACM symposium on User interface software and technology
Data Visualization and AnalyticsInformation Retrieval and Search Behavior
Cited by 37
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Data Access for the Open Access Literature: PLOS's Data Policy
Bloom, T., Ganley, E., & Winker, M. (2014) · PLoS Medicine
Research Data Management PracticesAcademic Publishing and Open Access
Cited by 37
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An Internet of Things QoE evaluation method based on multiple linear regression analysis
Li, L., Rong, M., & Zhang, G. (2015) · 2015 10th International Conference on Computer Science & Education (ICCSE)
Image and Video Quality AssessmentIoT and Edge/Fog Computing
Cited by 37
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Interpretable-through-prototypes deepfake detection for diffusion models
Aghasanli, A., Kangin, D., & Angelov, P. (2023) · 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis
Cited by 37
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A Framework for content-adaptive photo manipulation macros: Application to face, landscape, and global manipulations
Berthouzoz, F., Li, W., Dontcheva, M., & Agrawala, M. (2011) · ACM Transactions on Graphics
Generative Adversarial Networks and Image SynthesisComputer Graphics and Visualization Techniques
Cited by 37
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Deep neural network based histological scoring of lung fibrosis and inflammation in the mouse model system
Heinemann, F., Birk, G., Schoenberger, T., & Stierstorfer, B. (2018) · PLOS ONE
AI in cancer detectionInterstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Cited by 37
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Public Perceptions of Artificial Intelligence in 20 Countries: Assessing Individual- and Country-Level Factors
Wang, S. (2025) · Cross-Cultural Research
Ethics and Social Impacts of AICultural Differences and Values
Cited by 37
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A 5-Step Framework for Measuring the Quality of Experience (QoE) of Internet of Things (IoT) Services
Suryanegara, M., Prasetyo, D. A., Andriyanto, F., & Hayati, N. (2019) · IEEE Access
Image and Video Quality AssessmentSmart Cities and Technologies
Cited by 37
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Multimodal Remote Sensing Image Matching via Learning Features and Attention Mechanism
Zhang, Y., Lan, C., Zhang, H., Ma, G., & Li, H. (2024) · IEEE Transactions on Geoscience and Remote Sensing
Advanced Image and Video Retrieval TechniquesSatellite Image Processing and Photogrammetry
Cited by 37
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Suppression of moiré patterns via spectral analysis
Sidorov, D. N., & Kokaram, A. C. (2002) · SPIE Proceedings
Advanced Image Processing TechniquesImage and Video Quality Assessment
Cited by 37
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A Strategy for an Uncompromising Incremental Learner
Venkatesan, R., Venkateswara, H., Panchanathan, S., & Li, B. (2017) · arXiv
Domain Adaptation and Few-Shot LearningData Stream Mining Techniques
Cited by 37
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Vision-language models for autonomous driving: CLIP-based dynamic scene understanding
Elhenawy, M., Ashqar, H. I., Rakotonirainy, A., Alhadidi, T. I., Jaber, A., & Tami, M. A. (2025) · Electronics
Multimodal Machine Learning ApplicationsAutonomous Vehicle Technology and Safety
Cited by 37
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"We Would Never Write That Down": Classifications of Unemployed and Data Challenges for AI
Petersen, A. C. M., Christensen, L. R., Harper, R., & Hildebrandt, T. (2021) · Proceedings of the ACM on Human-Computer Interaction
Ethics and Social Impacts of AIE-Government and Public Services
Cited by 37
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Multimedia Forensics: discovering the history of multimedia contents
Battiato, S., Giudice, O., & Paratore, A. (2016) · Proceedings of the 17th International Conference on Computer Systems and Technologies 2016
Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques
Cited by 37
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Generalizing Deepfake Video Detection with Plug-and-Play: Video-Level Blending and Spatiotemporal Adapter Tuning
Yan, Z., Zhao, Y., Chen, S., Guo, M., Fu, X., Yao, T., Ding, S., & Yuan, L. (2024) · arXiv
Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis
Cited by 37
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