Most cited computer science papers
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GaussDB-Vector: A Large-Scale Persistent Real-Time Vector Database for LLM Applications
Sun, J., Li, G., Pan, J., Wang, J., Xie, Y., Liu, R., & Nie, W. (2025) · Proceedings of the VLDB Endowment
Advanced Database Systems and QueriesAdvanced Image and Video Retrieval Techniques
Cited by 13
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LitSearch: A Retrieval Benchmark for Scientific Literature Search
Ajith, A., Xia, M., Chevalier, A., Goyal, T., Chen, D., & Gao, T. (2024) · arXiv
Information Retrieval and Search BehaviorTopic Modeling
Cited by 13
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Designing natural speech interactions for the living room
Stifelman, L., Elman, A., & Sullivan, A. (2013) · CHI '13 Extended Abstracts on Human Factors in Computing Systems
Speech and dialogue systemsUsability and User Interface Design
Cited by 13
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CodeCRDT: Observation-Driven Coordination for Multi-Agent LLM Code Generation
Pugachev, S. (2025) · arXiv
Distributed systems and fault toleranceParallel Computing and Optimization Techniques
Cited by 13
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A Scalable Method for Validated Data Extraction from Electronic Health Records with Large Language Models
Stuhlmiller, T. J., Rabe, A., Rapp, J., Awawda, A., Kouser, H., Lui, K., Salamon, H., Chuyka, D., Mahoney, W., Furgason, J. M., et al. (2025) · medRxiv
Machine Learning in HealthcareBiomedical Text Mining and Ontologies
Cited by 13
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Blockchain
Rajmohan, R., Ananth Kumar, T., Pavithra, M., & Sandhya, S. G. (2020) · Blockchain Technology
Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning
Cited by 13
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Stacked encoder–decoder transformer with boundary smoothing for action segmentation
Kim, G., & Kim, E. (2022) · Electronics Letters
Human Pose and Action RecognitionHand Gesture Recognition Systems
Cited by 13
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Investigating Agency of LLMs in Human-AI Collaboration Tasks
Sharma, A., Rao, S., Brockett, C., Malhotra, A., Jojic, N., & Dolan, B. (2024) · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
Natural Language Processing TechniquesSpeech and dialogue systems
Cited by 13
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Precise and efficient model-based vehicle tracking method using Rao-Blackwellized and scaling series particle filters
He, M., Takeuchi, E., Ninomiya, Y., & Kato, S. (2016) · 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Target Tracking and Data Fusion in Sensor NetworksAutonomous Vehicle Technology and Safety
Cited by 13
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Sign Language Translation in a Healthcare Setting
Institute for Logic, L. A. C., Roelofsen, F., Esselink, L., Institute for Logic, L. A. C., Mende-Gillings, S., Institute for Logic, L. A. C., Smeijers, A., & Amsterdam University Medical Centre, A. (2021) · Proceedings of the Translation and Interpreting Technology Online Conference TRITON 2021
Hand Gesture Recognition SystemsHearing Impairment and Communication
Cited by 13
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ESB: A Benchmark For Multi-Domain End-to-End Speech Recognition
Gandhi, S., von Platen, P., & Rush, A. M. (2022) · arXiv
Speech Recognition and SynthesisSpeech and Audio Processing
Cited by 13
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Paraphrastic Representations at Scale
Wieting, J., Gimpel, K., Neubig, G., & Berg-kirkpatrick, T. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
Topic ModelingNatural Language Processing Techniques
Cited by 13
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Beyond Skin Deep: Generative Co-Design for Aesthetic Prosthetics
Zhou, F., Benford, S. D., Whatley, S., Marsh, K., Ashcroft, I., Erhart, T., O’Brien, W., & Tennent, P. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
Innovative Human-Technology InteractionAssistive Technology in Communication and Mobility
Cited by 13
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Conversation Chronicles: Towards Diverse Temporal and Relational Dynamics in Multi-Session Conversations
Jang, J., Boo, M., & Kim, H. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Speech and dialogue systemsAI in Service Interactions
Cited by 13
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Securing Remote User Authentication in Industrial Internet of Things
Nimmy, K., Sankaran, S., Achuthan, K., & Calyam, P. (2022) · 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC)
Biometric Identification and SecurityUser Authentication and Security Systems
Cited by 13
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Modeling interconnected social and technical risks in open source software ecosystems
Schueller, W., & Wachs, J. (2024) · Collective Intelligence
Software Engineering ResearchOpen Source Software Innovations
Cited by 13
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Learning Gait Emotions Using Affective and Deep Features
Randhavane, T., Bhattacharya, U., Kabra, P., Kapsaskis, K., Gray, K., Manocha, D., & Bera, A. (2022) · Proceedings of the 15th ACM SIGGRAPH Conference on Motion, Interaction and Games
Emotion and Mood RecognitionGait Recognition and Analysis
Cited by 13
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RAPHIA: a deep learning pipeline for the registration of MRI and whole-mount histopathology images of the prostate
Shao, W., Vesal, S., Soerensen, S. J. C., Bhattacharya, I., Golestani, N., Yamashita, R., Kunder, C. A., Fan, R. E., Ghanouni, P., Brooks, J. D., et al. (2024) · Computers in Biology and Medicine
Medical Image Segmentation TechniquesAI in cancer detection
Cited by 13
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Deep Learning Approaches for Vehicle and Pedestrian Detection in Adverse Weather
Zaman, M., Saha, S., Zohrabi, N., & Abdelwahed, S. (2023) · 2023 IEEE Transportation Electrification Conference & Expo (ITEC)
Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety
Cited by 13
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Investigating the Effects of Task Type and Linguistic Background on Accuracy in Automated Speech Recognition Systems: Implications for Use in Language Assessment of Young Learners
Hannah, L., Kim, H., & Jang, E. E. (2022) · Language Assessment Quarterly
Speech Recognition and SynthesisEFL/ESL Teaching and Learning
Cited by 13
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VillagerAgent: A Graph-Based Multi-Agent Framework for Coordinating Complex Task Dependencies in Minecraft
Dong, Y., Zhu, X., Pan, Z., Zhu, L., & Yang, Y. (2024) · Findings of the Association for Computational Linguistics ACL 2024
Multi-Agent Systems and NegotiationArtificial Intelligence in Games
Cited by 13
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A genetic-algorithm-based method to find unitary transformations for any desired quantum computation and application to a one-bit oracle decision problem
Bang, J., & Yoo, S. (2014) · Journal of the Korean Physical Society
Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research
Cited by 13
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Large Language Models for Security Operations Centers: A Comprehensive Survey
Habibzadeh, A., Feyzi, F., & Atani, R. E. (2026) · Journal of Electrical and Computer Engineering
Network Security and Intrusion DetectionInformation and Cyber Security
Cited by 13
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Evaluation of functional magnetic resonance imaging under artificial intelligence algorithm on plan-do-check-action home nursing for patients with diabetic nephropathy
Du, Q., Liang, D., Zhang, L., Chen, G., & Li, X. (2022) · Contrast Media & Molecular Imaging
Medical Image Segmentation TechniquesChronic Kidney Disease and Diabetes
Cited by 13
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