Most cited computer science papers
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Recommending Reforming Trip to a Group of Users
Abbas, R., Amran, G. A., Alsanad, A., Ma, S., Almisned, F. A., Huang, J., Al Bakhrani, A. A., Ahmed, A. B., & Alzahrani, A. I. (2022) · Electronics
Recommender Systems and TechniquesHuman Mobility and Location-Based Analysis
Cited by 5
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HUMAN - Hierarchical Clustering for Unsupervised Anomaly Detection & Interpretation
Mulinka, P., Casas, P., Fukuda, K., & Kencl, L. (2020) · 2020 11th International Conference on Network of the Future (NoF)
Software System Performance and ReliabilityAnomaly Detection Techniques and Applications
Cited by 5
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Pirates of the RAG: Adaptively Attacking LLMs to Leak Knowledge Bases
Di Maio, C., Cosci, C., Maggini, M., Poggioni, V., & Melacci, S. (2024) · arXiv
Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data
Cited by 5
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Evaluating LLMs at Detecting Errors in LLM Responses
Kamoi, R., Das, S. S. S., Lou, R., Ahn, J. J., Zhao, Y., Lu, X., Zhang, N., Zhang, Y., Zhang, R. H., Vummanthala, S. R., et al. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 5
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Formal contracts mitigate social dilemmas in multi-agent reinforcement learning
Haupt, A., Christoffersen, P., Damani, M., & Hadfield-Menell, D. (2024) · Autonomous Agents and Multi-Agent Systems
Reinforcement Learning in RoboticsGame Theory and Applications
Cited by 5
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Smart lighting in dementia care facility
Ly, N. T., Tscharn, R., Preßler, J., Huber, S., Aknine, S., Serna, A., & Hurtienne, J. (2016) · Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct
Context-Aware Activity Recognition SystemsTechnology Use by Older Adults
Cited by 5
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Episodic memory in AI agents poses risks that should be studied and mitigated
DeChant, C. (2025) · arXiv
Ethics and Social Impacts of AIAI-based Problem Solving and Planning
Cited by 5
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Artificial Intelligence-Aided Recognition of Pathological Characteristics and Subtype Classification of Superficial Perivascular Dermatitis
Bao, Y., Zhang, J., Zhang, Q., Chang, J., Lu, D., & Fu, Y. (2021) · Frontiers in Medicine
AI in cancer detectionMedicine and Dermatology Studies History
Cited by 5
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Cross-modal augmentation for low-resource language understanding and generation
Li, Z., & Ke, Z. (2025) · Proceedings of the 1st Workshop on Multimodal Augmented Generation via Multimodal Retrieval (MAGMaR 2025)
Multimodal Machine Learning ApplicationsSpeech and dialogue systems
Cited by 5
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Using infrared to improve face recognition of individuals with highly pigmented skin
Muthua, A. G., Theart, R. P., & Booysen, M. J. (2023) · iScience
Face recognition and analysisFace and Expression Recognition
Cited by 5
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SocialStories: Segmenting Stories within Trending Twitter Topics
Jaidka, K., Ramachandran, K., Gupta, P., & Rustagi, S. (2016) · Proceedings of the 3rd IKDD Conference on Data Science, 2016
Topic ModelingAdvanced Clustering Algorithms Research
Cited by 5
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Managing emotional dialogue for a virtual cancer patient: a schema-guided approach
Kane, B., Giugno, C., Schubert, L., Haut, K., Wohn, C., & Hoque, E. (2024) · IEEE Transactions on Affective Computing
Speech and dialogue systemsIntelligent Tutoring Systems and Adaptive Learning
Cited by 5
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Teknik Pengujian Equivalents Partitioning pada Aplikasi Sistem Pendaftaran PAUD berbasis WEB dengan Menggunakan Black Box
Suyudi, M. Y., Pratiwi, A. P., Mawahdah, R. F., Purwara, Y. A., & Kusyadi, I. (2020) · Jurnal Informatika Universitas Pamulang
Software Testing and Debugging TechniquesEngineering and Information Technology
Cited by 5
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Edge Computing and Analytics for IoT Devices: Enhancing Real-Time Decision Making in Smart Environments
-, K. K. P. B. (2024) · International Journal For Multidisciplinary Research
IoT and Edge/Fog ComputingInternet of Things and AI
Cited by 5
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An Unsupervised Method for Learning Representations of Multi-word Expressions for Semantic Classification
Vacareanu, R., Valenzuela-Escárcega, M. A., Sharp, R., & Surdeanu, M. (2020) · Proceedings of the 28th International Conference on Computational Linguistics
Topic ModelingNatural Language Processing Techniques
Cited by 5
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”It’s how you do things that matters”: Attending to Process to Better Serve Indigenous Communities with Language Technologies
Cooper, N., Heldreth, C., & Hutchinson, B. (2024) · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)
Natural Language Processing TechniquesEthics and Social Impacts of AI
Cited by 5
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Enabling intelligent battlefield healthcare through secure cyber medicine
Farroha, J., & Farroha, B. (2019) · Open Architecture/Open Business Model Net-Centric Systems and Defense Transformation 2019
Internet of Things and AIIoT and Edge/Fog Computing
Cited by 5
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Make-A-Protagonist: Generic Video Editing with An Ensemble of Experts
Zhao, Y., Xie, E., Hong, L., Li, Z., & Lee, G. H. (2023) · arXiv
Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection
Cited by 5
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Active learning for object detection in high-resolution satellite images
Goupilleau, A., Ceillier, T., & Corbineau, M.-C. (2021) · arXiv
Machine Learning and AlgorithmsRemote-Sensing Image Classification
Cited by 5
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Systemizing Multiplicity: The Curious Case of Arbitrariness in Machine Learning
Ganesh, P., Taik, A., & Farnadi, G. (2025) · Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 5
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Compreendendo o Sucesso em Competições de Programação: Perspectivas dos estudantes com Resultados Excepcionais
Theodoro, L. C., Santos, C. D. C., Irion, C., Araújo, R. D., Pereira, J. H. D. S., & Rosa, P. F. (2024) · Anais do XXXII Workshop sobre Educação em Computação (WEI 2024)
Teaching and Learning ProgrammingEducational Robotics and Engineering
Cited by 5
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Ethical AI cannot be fostered in a vacuum: why AI ethics research needs industry involvement
Küçükuncular, A. (2024) · Discover Artificial Intelligence
Ethics and Social Impacts of AIArtificial Intelligence Applications
Cited by 5
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DevOps Metrics: Your biggest mistake might be collecting the wrong data.
Forsgren, N., & Kersten, M. (2017) · Queue
Software Engineering Techniques and PracticesSoftware System Performance and Reliability
Cited by 5
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Agents Are Not Enough
Shah, C., & White, R. W. (2025) · Computer
Artificial Intelligence ApplicationsAI-based Problem Solving and Planning
Cited by 5
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