Most cited computer science papers
- Verified
Machine Learning for Encrypted Malware Traffic Classification: Accounting for Noisy Labels and Non-Stationarity
Anderson, B., & McGrew, D. (2017) · Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Advanced Malware Detection TechniquesNetwork Security and Intrusion Detection
Cited by 295
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An Empirical Investigation into Programming Language Syntax
Stefik, A., & Siebert, S. (2013) · ACM Transactions on Computing Education
Teaching and Learning ProgrammingLogic, programming, and type systems
Cited by 295
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Automatic large-scale classification of bird sounds is strongly improved by unsupervised feature learning
Stowell, D., & Plumbley, M. D. (2014) · PeerJ
Music and Audio ProcessingAnimal Vocal Communication and Behavior
Cited by 295
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MAWILab: combining diverse anomaly detectors for automated anomaly labeling and performance benchmarking
Fontugne, R., Borgnat, P., Abry, P., & Fukuda, K. (2010) · Proceedings of the 6th International COnference
Network Security and Intrusion DetectionAnomaly Detection Techniques and Applications
Cited by 295
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Basic Performance Measurements of the Intel Optane DC Persistent Memory Module
Izraelevitz, J., Yang, J., Zhang, L., Kim, J., Liu, X., Memaripour, A., Soh, Y. J., Wang, Z., Xu, Y., Dulloor, S. R., et al. (2019) · arXiv
Advanced Data Storage TechnologiesParallel Computing and Optimization Techniques
Cited by 295
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ThunderNet: Towards Real-Time Generic Object Detection on Mobile Devices
Qin, Z., Li, Z., Zhang, Z., Bao, Y., Yu, G., Peng, Y., & Sun, J. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 295
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Large Language Models in Finance: A Survey
Li, Y., Wang, S., Ding, H., & Chen, H. (2023) · arXiv
Topic ModelingArtificial Intelligence Applications
Cited by 295
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Towards Visually Explaining Variational Autoencoders
Liu, W., Li, R., Zheng, M., Karanam, S., Wu, Z., Bhanu, B., Radke, R. J., & Camps, O. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications
Cited by 294
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Self supervised contrastive learning for digital histopathology
Ciga, O., Xu, T., & Martel, A. L. (2022) · Machine Learning with Applications
AI in cancer detectionDomain Adaptation and Few-Shot Learning
Cited by 294
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Promoting students’ learning achievement and self-efficacy: a mobile chatbot approach for nursing training
Chang, C., Hwang, G., & Gau, M. (2022) · British Journal of Educational Technology
Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Healthcare and Education
Cited by 294
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Rebooting MOOC Research
Reich, J. (2015) · Science
Online Learning and AnalyticsOpen Education and E-Learning
Cited by 294
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Measuring and Narrowing the Compositionality Gap in Language Models
Press, O., Zhang, M., Min, S., Schmidt, L., Smith, N. A., & Lewis, M. (2022) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 294
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RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records
Kwon, B. C., Choi, M.-J., Kim, J. T., Choi, E., Kim, Y. B., Kwon, S., Sun, J., & Choo, J. (2019) · IEEE Transactions on Visualization and Computer Graphics
Data Visualization and AnalyticsExplainable Artificial Intelligence (XAI)
Cited by 294
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LLMs for knowledge graph construction and reasoning: recent capabilities and future opportunities
Zhu, Y., Wang, X., Chen, J., Qiao, S., Ou, Y., Yao, Y., Deng, S., Chen, H., & Zhang, N. (2024) · World Wide Web
Topic ModelingAdvanced Graph Neural Networks
Cited by 294
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Advhat: Real-world adversarial attack on arcface face id system
Komkov, S., & Petiushko, A. (2021) · 2020 25th International Conference on Pattern Recognition (ICPR)
Adversarial Robustness in Machine LearningBiometric Identification and Security
Cited by 294
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Search via Quantum Walk
Magniez, F., Nayak, A., Roland, J., & Santha, M. (2011) · SIAM Journal on Computing
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 294
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HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection
Chen, K., Du, X., Zhu, B., Ma, Z., Berg-Kirkpatrick, T., & Dubnov, S. (2022) · ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Music and Audio ProcessingSpeech Recognition and Synthesis
Cited by 294
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Hate Lingo: A Target-Based Linguistic Analysis of Hate Speech in Social Media
ElSherief, M., Kulkarni, V., Nguyen, D., Yang Wang, W., & Belding, E. (2018) · Proceedings of the International AAAI Conference on Web and Social Media
Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining
Cited by 294
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Ssast: Self-supervised audio spectrogram transformer
Gong, Y., Lai, C.-I., Chung, Y.-A., & Glass, J. (2022) · Proceedings of the AAAI Conference on Artificial Intelligence
Music and Audio ProcessingSpeech Recognition and Synthesis
Cited by 294
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DeepSeek-V3 Technical Report
DeepSeek-AI, Liu, A., Feng, B., Xue, B., Wang, B., Wu, B., Lu, C., Zhao, C., Deng, C., Zhang, C., et al. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 294
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Trust, but Verify II: A Practical Guide to Chemogenomics Data Curation
Fourches, D., Muratov, E., & Tropsha, A. (2016) · Journal of Chemical Information and Modeling
Research Data Management PracticesComputational Drug Discovery Methods
Cited by 294
- Verified · note
Movement, activity and action: the role of knowledge in the perception of motion
Bobick, A. F. (1997) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences
Human Pose and Action RecognitionHand Gesture Recognition Systems
Cited by 294
- Verified
Graph representation learning in biomedicine and healthcare
Li, M. M., Huang, K., & Zitnik, M. (2022) · Nature Biomedical Engineering
Advanced Graph Neural NetworksBioinformatics and Genomic Networks
Cited by 294
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Large language models empowered agent-based modeling and simulation: a survey and perspectives
Gao, C., Lan, X., Li, N., Yuan, Y., Ding, J., Zhou, Z., Xu, F., & Li, Y. (2024) · Humanities and Social Sciences Communications
Multi-Agent Systems and NegotiationSimulation Techniques and Applications
Cited by 294
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