Most cited computer science papers
- Verified
LEO: scheduling sensor inference algorithms across heterogeneous mobile processors and network resources
Georgiev, P., Lane, N. D., Rachuri, K. K., & Mascolo, C. (2016) · Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking
IoT and Edge/Fog ComputingMobile and Web Applications
Cited by 58
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Distant speech recognition in a smart home: comparison of several multisource ASRs in realistic conditions
Lecouteux, B., Vacher, M., & Portet, F. (2011) · Interspeech 2011
Speech Recognition and SynthesisSpeech and Audio Processing
Cited by 58
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Some uses of higher-order logic in computational linguistics
Miller, D. A., & Nadathur, G. (1986) · Proceedings of the 24th annual meeting on Association for Computational Linguistics -
Logic, Reasoning, and KnowledgeSyntax, Semantics, Linguistic Variation
Cited by 58
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Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework ICCAD Special Session Paper
Shafique, M., Marchisio, A., Wicaksana Putra, R. V., & Hanif, M. A. (2021) · 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD)
IoT and Edge/Fog ComputingAdvanced Neural Network Applications
Cited by 58
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Uncertainty improvement of geometrical thickness and refractive index measurement of a silicon wafer using a femtosecond pulse laser
Maeng, S., Park, J., O, B., & Jin, J. (2012) · Optics Express
Optical measurement and interference techniquesAdvanced Measurement and Metrology Techniques
Cited by 58
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Feature-Based Explanations Don't Help People Detect Misclassifications of Online Toxicity
Carton, S., Mei, Q., & Resnick, P. (2020) · Proceedings of the International AAAI Conference on Web and Social Media
Explainable Artificial Intelligence (XAI)Hate Speech and Cyberbullying Detection
Cited by 58
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Brain tumour detection using mean shift clustering and GLCM features with edge adaptive total variation denoising technique
Vallabhaneni, R. B., & Rajesh, V. (2018) · Alexandria Engineering Journal
Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques
Cited by 58
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Security as Culture: A Systematic Literature Review of DevSecOps
Sánchez-Gordón, M., & Colomo-Palacios, R. (2020) · Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops
Software Engineering Techniques and PracticesInformation and Cyber Security
Cited by 58
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Theory In, Theory Out: The Uses of Social Theory in Machine Learning for Social Science
Radford, J., & Joseph, K. (2020) · Frontiers in Big Data
Ethics and Social Impacts of AIComputational and Text Analysis Methods
Cited by 58
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Detecting presence of PTSD using sentiment analysis from text data
Sawalha, J., Yousefnezhad, M., Shah, Z., Brown, M. R. G., Greenshaw, A. J., & Greiner, R. (2022) · Frontiers in Psychiatry
Emotion and Mood RecognitionMental Health via Writing
Cited by 58
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Making decisions: Bias in artificial intelligence and data‑driven diagnostic tools
Aquino, Y. S. J. (2023) · Australian Journal of General Practice
Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education
Cited by 58
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Cyber Security Challenges of Deploying IoT in Smart Cities for Healthcare Applications
Alromaihi, S., Elmedany, W., & Balakrishna, C. (2018) · 2018 6th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW)
IoT and Edge/Fog ComputingInternet of Things and AI
Cited by 58
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Anticoncentration theorems for schemes showing a quantum speedup
Hangleiter, D., Bermejo-Vega, J., Schwarz, M., & Eisert, J. (2018) · Quantum
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 58
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BLEselect: Gestural IoT Device Selection via Bluetooth Angle of Arrival Estimation from Smart Glasses
Zhang, T., Lan, Z., Xu, C., Li, Y., & Chen, Y. (2022) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Hand Gesture Recognition SystemsInteractive and Immersive Displays
Cited by 58
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Using human judgments to examine the validity of automated grammar, syntax, and mechanical errors in writing
Crossley, S. (2019) · Journal of Writing Research
Natural Language Processing TechniquesEFL/ESL Teaching and Learning
Cited by 58
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APE: Argument Pair Extraction from Peer Review and Rebuttal via Multi-task Learning
Cheng, L., Bing, L., Yu, Q., Lu, W., & Si, L. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Sentiment Analysis and Opinion MiningTopic Modeling
Cited by 58
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A Survey of Security Strategies in Federated Learning: Defending Models, Data, and Privacy
Manzoor, H. U., Shabbir, A., Chen, A., Flynn, D., & Zoha, A. (2024) · Future Internet
Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning
Cited by 58
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People Counting System for Getting In/Out of a Bus Based on Video Processing
Chen, C.-H., Chang, Y.-C., Chen, T.-Y., & Wang, D.-J. (2008) · 2008 Eighth International Conference on Intelligent Systems Design and Applications
Video Surveillance and Tracking MethodsAdvanced Neural Network Applications
Cited by 58
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Object Tracking Algorithms for Video Surveillance Applications
Mangawati, A., Mohana, Leesan, M., & Aradhya, H. V. R. (2018) · 2018 International Conference on Communication and Signal Processing (ICCSP)
Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety
Cited by 58
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Classification of Illegal Activities on the Dark Web
He, S., He, Y., & Li, M. (2019) · Proceedings of the 2019 2nd International Conference on Information Science and Systems
Text and Document Classification TechnologiesInternet Traffic Analysis and Secure E-voting
Cited by 58
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Application of Deep Reinforcement Learning to UAV Swarming for Ground Surveillance
Arranz, R., Carramiñana, D., Miguel, G. D., Besada, J. A., & Bernardos, A. M. (2023) · Sensors
Reinforcement Learning in RoboticsDistributed Control Multi-Agent Systems
Cited by 58
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All too human? Identifying and mitigating ethical risks of Social AI
Shevlin, H. (2024) · Law, Ethics & Technology
Ethics and Social Impacts of AISocial Robot Interaction and HRI
Cited by 58
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Novel digital forensic readiness technique in the cloud environment
Kebande, V. R., & Venter, H. S. (2018) · Australian Journal of Forensic Sciences
Digital and Cyber ForensicsEducation, Law, and Society
Cited by 58
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Tokenomics: Dynamic adoption and valuation
Cong, L. W., Li, Y., & Wang, N. (2021) · The Review of Financial Studies
Blockchain Technology Applications and SecurityDigital Platforms and Economics
Cited by 58
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