Most cited computer science papers
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Automating Tiny ML Intelligent Sensors DevOPS Using Microsoft Azure
Vuppalapati, C., Ilapakurti, A., Chillara, K., Kedari, S., & Mamidi, V. (2020) · 2020 IEEE International Conference on Big Data (Big Data)
Software Engineering Techniques and PracticesSmart Agriculture and AI
Cited by 24
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Synchronization in wireless biomedical-sensor networks with bluetooth low energy
Bideaux, A., Zimmermann, B., Hey, S., & Stork, W. (2015) · Current Directions in Biomedical Engineering
Bluetooth and Wireless Communication TechnologiesWireless Body Area Networks
Cited by 24
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Enhanced orienting effects: evidence for an interaction principle
Olk, B., Cameron, B., & Kingstone, A. (2008) · Visual Cognition
Visual Attention and Saliency DetectionNeural and Behavioral Psychology Studies
Cited by 24
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Trends in Glucagon-Like Peptide-1 Receptor Agonist Social Media Posts Using Artificial Intelligence
Javaid, A., Baviriseaty, S., Javaid, R., Zirikly, A., Kukreja, H., Kim, C. H., Blaha, M. J., Blumenthal, R. S., Martin, S. S., & Marvel, F. A. (2024) · JACC: Advances
Sentiment Analysis and Opinion MiningDiabetes Treatment and Management
Cited by 24
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Dynamic ransomware protection using deterministic random bit generator
Kim, H., Yoo, D., Kang, J.-S., & Yeom, Y. (2017) · 2017 IEEE Conference on Application, Information and Network Security (AINS)
Advanced Malware Detection TechniquesSecurity and Verification in Computing
Cited by 24
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GPU-accelerated elastic 3D image registration for intra-surgical applications
Ruijters, D., ter Haar Romeny, B. M., & Suetens, P. (2011) · Computer Methods and Programs in Biomedicine
Medical Image Segmentation TechniquesParallel Computing and Optimization Techniques
Cited by 24
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Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis
Ding, X., Zhou, J., Dou, L., Chen, Q., Wu, Y., Chen, A., & He, L. (2024) · Findings of the Association for Computational Linguistics: EMNLP 2024
Sentiment Analysis and Opinion MiningDomain Adaptation and Few-Shot Learning
Cited by 24
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How categories come to matter
Leahu, L., Cohn, M., & March, W. (2013) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Innovative Human-Technology InteractionInformation Systems Theories and Implementation
Cited by 24
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Improved reversible and quantum circuits for Karatsuba-based integer multiplication
Parent, A., Roetteler, M., & Mosca, M. (2018) · Schloss Dagstuhl – Leibniz-Zentrum für Informatik
Quantum Computing Algorithms and ArchitectureCryptography and Residue Arithmetic
Cited by 24
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Exploring Collaborative Movement Improvisation Towards the Design of LuminAI—a Co-Creative AI Dance Partner
Trajkova, M., Long, D., Deshpande, M., Knowlton, A., & Magerko, B. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems
Innovative Human-Technology InteractionSocial Robot Interaction and HRI
Cited by 24
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Bounds on the dynamics of periodic quantum walks and emergence of the gapless and gapped Dirac equation
Kumar, N. P., Balu, R., Laflamme, R., & Chandrashekar, C. M. (2018) · Physical Review A
Quantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications
Cited by 24
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Speech-Enabled Hybrid Multilingual Translation for Mobile Devices
Angelov, K., Bringert, B., & Ranta, A. (2014) · Proceedings of the Demonstrations at the 14th Conference of the European Chapter of the Association for Computational Linguistics
Natural Language Processing TechniquesSpeech Recognition and Synthesis
Cited by 24
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On the tip of my tongue: a non-invasive pressure-based tongue interface
Cheng, J., Okoso, A., Kunze, K., Henze, N., Schmidt, A., Lukowicz, P., & Kise, K. (2014) · Proceedings of the 5th Augmented Human International Conference
Interactive and Immersive DisplaysTactile and Sensory Interactions
Cited by 24
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“Automatic spontaneous speech grading: a novel feature derivation technique using the crowd,”
Shashidhar, V., Pandey, N., & Aggarwal, V. (2015) · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Speech Recognition and SynthesisNatural Language Processing Techniques
Cited by 24
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Mind's Eye: Grounded Language Model Reasoning through Simulation
Liu, R., Wei, J., Gu, S. S., Wu, T.-Y., Vosoughi, S., Cui, C., Zhou, D., & Dai, A. M. (2022) · arXiv
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 24
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Articulation work in small-scale offshore software development projects
Boden, A., Nett, B., & Wulf, V. (2008) · Proceedings of the 2008 international workshop on Cooperative and human aspects of software engineering
Software Engineering Techniques and PracticesOutsourcing and Supply Chain Management
Cited by 24
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A Comprehensive Review on Encryption based Open Source Cyber Security Tools
Sharma, R., Dangi, S., & Mishra, P. (2021) · 2021 6th International Conference on Signal Processing, Computing and Control (ISPCC)
Cybersecurity and Information SystemsCryptographic Implementations and Security
Cited by 24
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Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer
Traoré, R., Caselles-Dupré, H., Lesort, T., Sun, T., Díaz-Rodríguez, N., & Filliat, D. (2019) · arXiv
Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning
Cited by 24
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Thought Anchors: Which LLM Reasoning Steps Matter?
Bogdan, P. C., Macar, U., Nanda, N., & Conmy, A. (2025) · arXiv
Explainable Artificial Intelligence (XAI)Topic Modeling
Cited by 24
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Multimodal Data Hybrid Fusion and Natural Language Processing for Clinical Prediction Models
Ye, J., Hai, J., Song, J., & Wang, Z. (2023) · medRxiv
Machine Learning in HealthcareMultimodal Machine Learning Applications
Cited by 24
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Performance analysis of word embeddings for cyberbullying detection
Pericherla, S., & Ilavarasan, E. (2021) · IOP Conference Series: Materials Science and Engineering
Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining
Cited by 24
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LLM See, LLM Do: Leveraging Active Inheritance to Target Non-Differentiable Objectives
Shimabucoro, L., Ruder, S., Kreutzer, J., Fadaee, M., & Hooker, S. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Topic ModelingEthics and Social Impacts of AI
Cited by 24
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Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings
Wolfe, R., Slaughter, I., Han, B., Wen, B., Yang, Y., Rosenblatt, L., Herman, B., Brown, E., Qu, Z., Weber, N., et al. (2024) · The 2024 ACM Conference on Fairness, Accountability, and Transparency
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 24
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Benchmarking YOLOv8 Variants for Object Detection Efficiency on Jetson Orin NX for Edge Computing Applications
Aljami, H. M., Alrowais, N. A., AlAwajy, A. M., Alhrgan, S. O., Aldwaani, R. A., Alsawadi, M. S., Saqib, N. U., Alam, S. S., & Alsubaie, R. (2026) · Computers
Advanced Neural Network ApplicationsIoT and Edge/Fog Computing
Cited by 24
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