Most cited computer science papers
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Blockchain and Cloud to Overcome the Problems of Buyer and Seller Watermarking Protocols
Frattolillo, F. (2021) · Applied Sciences
Advanced Steganography and Watermarking TechniquesDigital Rights Management and Security
Cited by 8
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A Parallel Method for Impulsive Image Noise Removal on Hybrid CPU/GPU Systems
Sánchez, M. G., Vidal, V., Bataller, J., & Arnal, J. (2013) · Procedia Computer Science
Image and Signal Denoising MethodsParallel Computing and Optimization Techniques
Cited by 8
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Improving Generalization in Facial Manipulation Detection Using Image Noise Residuals and Temporal Features
Atamna, M., Tkachenko, I., & Miguet, S. (2023) · 2023 IEEE International Conference on Image Processing (ICIP)
Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis
Cited by 8
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PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding
Cho, J. H., Madotto, A., Mavroudi, E., Afouras, T., Nagarajan, T., Maaz, M., Song, Y., Ma, T., Hu, S., Jain, S., et al. (2025) · arXiv
Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition
Cited by 8
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Deep learning based histological classification of adnex tumors
Jansen, P., Arrastia, J. L., Baguer, D. O., Schmidt, M., Landsberg, J., Wenzel, J., Emberger, M., Schadendorf, D., Hadaschik, E., Maass, P., et al. (2024) · European Journal of Cancer
AI in cancer detectionCancer and Skin Lesions
Cited by 8
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Responsible Artificial Intelligence: A Structured Literature Review
Goellner, S., Tropmann-Frick, M., & Brumen, B. (2024) · arXiv
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 8
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Formalizing Data Deletion in the Context of the Right to Be Forgotten
Garg, S., Goldwasser, S., & Vasudevan, P. N. (2020) · Lecture Notes in Computer Science
Cryptography and Data SecurityPrivacy-Preserving Technologies in Data
Cited by 8
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Judging the Judges: Evaluating Alignment and Vulnerabilities in LLMs-as-Judges
Thakur, A. S., Choudhary, K., Ramayapally, V. S., Vaidyanathan, S., & Hupkes, D. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 8
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Dealing with Semantic Underspecification in Multimodal NLP
Pezzelle, S. (2023) · arXiv
Multimodal Machine Learning ApplicationsNatural Language Processing Techniques
Cited by 8
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UniMTS: Unified Pre-training for Motion Time Series
Zhang, X., Teng, D., Chowdhury, R., Li, S., Hong, D., Gupta, R., & Shang, J. (2024) · Advances in Neural Information Processing Systems 37
Time Series Analysis and ForecastingHuman Motion and Animation
Cited by 8
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Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models
Luo, L., Zhao, Z., Haffari, G., Li, Y.-F., Gong, C., & Pan, S. (2024) · arXiv
Topic ModelingAdvanced Graph Neural Networks
Cited by 8
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Tools for Verifying Neural Models' Training Data
Choi, D., Shavit, Y., & Duvenaud, D. (2023) · arXiv
Software Testing and Debugging TechniquesFormal Methods in Verification
Cited by 8
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Improving Translation Faithfulness of Large Language Models via Augmenting Instructions
Chen, Y., Liu, Y., Meng, F., Chen, Y., Xu, J., & Zhou, J. (2023) · arXiv
Natural Language Processing TechniquesTopic Modeling
Cited by 8
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Customized explanation in expert system for earthquake prediction
Bofeng, Z., & Yue, L. (2005) · 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05)
Explainable Artificial Intelligence (XAI)AI-based Problem Solving and Planning
Cited by 8
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Tailoring Your Code Companion: Leveraging LLMs and RAG to Develop a Chatbot to Support Students in a Programming Course
Alario-Hoyos, C., Kemcha, R., Kloos, C. D., Callejo, P., Estévez-Ayres, I., Santín-Cristóbal, D., Cruz-Argudo, F., & López-Sánchez, J. L. (2024) · 2024 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)
Teaching and Learning ProgrammingArtificial Intelligence in Education
Cited by 8
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Beyond Browsing: API-Based Web Agents
Song, Y., Xu, F., Zhou, S., & Neubig, G. (2024) · arXiv
Web Data Mining and AnalysisInformation Retrieval and Search Behavior
Cited by 8
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Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning Strategies
Wang, J., Jain, S., Zhang, D., Ray, B., Kumar, V., & Athiwaratkun, B. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Topic ModelingNatural Language Processing Techniques
Cited by 8
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Human Feedback is not Gold Standard
Hosking, T., Blunsom, P., & Bartolo, M. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 8
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Adaptive Coordination in Social Embodied Rearrangement
Szot, A., Jain, U., Batra, D., Kira, Z., Desai, R., & Rai, A. (2023) · arXiv
Reinforcement Learning in RoboticsRobot Manipulation and Learning
Cited by 8
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A Survey on LLM-based Multi-Agent System: Recent Advances and New Frontiers in Application
Chen, S., Liu, Y., Han, W., Zhang, W., & Liu, T. (2024) · arXiv
Multi-Agent Systems and NegotiationArtificial Intelligence Applications
Cited by 8
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A near optimal coder for image geometry with adaptive partitioning
Maleki, A., Shahram, M., & Carlsson, G. (2008) · 2008 15th IEEE International Conference on Image Processing
Advanced Data Compression TechniquesVideo Coding and Compression Technologies
Cited by 8
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Systematic and Efficient Anomaly Detection Framework using Machine Learning on Public ICS Datasets
Baptiste, M., Julien, F., & Franck, S. (2021) · 2021 IEEE International Conference on Cyber Security and Resilience (CSR)
Network Security and Intrusion DetectionSmart Grid Security and Resilience
Cited by 8
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Comparative study between automatic hint generation approaches in Intelligent Programming Tutors
MAHDAOUI, M., NOUH, S., ALAOUI, M. S. E., & SADIQ, M. (2022) · Procedia Computer Science
Teaching and Learning ProgrammingIntelligent Tutoring Systems and Adaptive Learning
Cited by 8
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Forks Over Knives: Predictive Inconsistency in Criminal Justice Algorithmic Risk Assessment Tools
Greene, T., Shmueli, G., Fell, J., Lin, C.-F., & Liu, H.-W. (2020) · arXiv
Ethics and Social Impacts of AIArtificial Intelligence in Law
Cited by 8
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