Most cited computer science papers
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Using Unobtrusive Wearable Sensors to Measure the Physiological Synchrony Between Presenters and Audience Members
Gashi, S., Di Lascio, E., & Santini, S. (2019) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Emotion and Mood RecognitionInnovative Human-Technology Interaction
Cited by 74
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FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction
Lee, C.-Y., Li, C.-L., Dozat, T., Perot, V., Su, G., Hua, N., Ainslie, J., Wang, R., Fujii, Y., & Pfister, T. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Handwritten Text Recognition TechniquesTopic Modeling
Cited by 74
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Use of virtual reality in the inpatient rehabilitation of COVID-19 patients
Kolbe, L., Jaywant, A., Gupta, A., Vanderlind, W. M., & Jabbour, G. (2021) · General Hospital Psychiatry
Virtual Reality Applications and ImpactsStroke Rehabilitation and Recovery
Cited by 74
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StarCoder 2 and The Stack v2: The Next Generation
Lozhkov, A., Li, R., Allal, L. B., Cassano, F., Lamy-Poirier, J., Tazi, N., Tang, A., Pykhtar, D., Liu, J., Wei, Y., et al. (2024) · arXiv
Software Engineering ResearchTopic Modeling
Cited by 74
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Deep Learning Based Attribute Classification Insider Threat Detection for Data Security
Meng, F., Lou, F., Fu, Y., & Tian, Z. (2018) · 2018 IEEE Third International Conference on Data Science in Cyberspace (DSC)
Network Security and Intrusion DetectionInformation and Cyber Security
Cited by 74
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BoxE: A Box Embedding Model for Knowledge Base Completion
Abboud, R., Ceylan, İ. İ., Lukasiewicz, T., & Salvatori, T. (2020) · arXiv
Advanced Graph Neural NetworksTopic Modeling
Cited by 74
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Enhancing Satellite Image Security Through Multiple Image Encryption via Hyperchaos, SVD, RC5, and Dynamic S-Box Generation
Youssef, M., Gabr, M., Alexan, W., Mansour, M. B. M., Kamal, K., Hosny, H., & El-Damak, D. (2024) · IEEE Access
Chaos-based Image/Signal EncryptionComputer Science and Engineering
Cited by 74
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Improving Deep Learning for HAR with Shallow LSTMs
Bock, M., Hölzemann, A., Moeller, M., & Van Laerhoven, K. (2021) · 2021 International Symposium on Wearable Computers
Context-Aware Activity Recognition SystemsTime Series Analysis and Forecasting
Cited by 74
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Microwalk: A framework for finding side channels in binaries
Wichelmann, J., Moghimi, A., Eisenbarth, T., & Sunar, B. (2018) · Proceedings of the 34th Annual Computer Security Applications Conference
Cryptographic Implementations and SecuritySecurity and Verification in Computing
Cited by 74
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Survey on Models and Techniques for Root-Cause Analysis
Solé, M., Muntés-Mulero, V., Rana, A. I., & Estrada, G. (2017) · arXiv
Software System Performance and ReliabilityFault Detection and Control Systems
Cited by 74
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Methods of deepfake detection based on machine learning
Maksutov, A. A., Morozov, V. O., Lavrenov, A. A., & Smirnov, A. S. (2020) · 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)
Digital Media Forensic DetectionFace recognition and analysis
Cited by 74
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HetMEC: Heterogeneous Multi-Layer Mobile Edge Computing in the 6 G Era
Zhang, Y., Di, B., Wang, P., Lin, J., & Song, L. (2020) · IEEE Transactions on Vehicular Technology
IoT and Edge/Fog ComputingCaching and Content Delivery
Cited by 74
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WinoQueer: A community-in-the-loop benchmark for anti-LGBTQ+ bias in large language models
Felkner, V., Chang, H.-C. H., Jang, E., & May, J. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection
Cited by 74
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Gradient based Feature Attribution in Explainable AI: A Technical Review
Wang, Y., Zhang, T., Guo, X., & Shen, Z. (2024) · arXiv
Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques
Cited by 74
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Target Adaptive Context Aggregation for Video Scene Graph Generation
Teng, Y., Wang, L., Li, Z., & Wu, G. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition
Cited by 74
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Psoriasis skin biopsy image segmentation using Deep Convolutional Neural Network
Pal, A., Garain, U., Chandra, A., Chatterjee, R., & Senapati, S. (2018) · Computer Methods and Programs in Biomedicine
Medical Image Segmentation TechniquesAdvanced Neural Network Applications
Cited by 74
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HybridFlow: A Flexible and Efficient RLHF Framework
Sheng, G., Zhang, C., Ye, Z., Wu, X., Zhang, W., Zhang, R., Peng, Y., Lin, H., & Wu, C. (2024) · arXiv
Parallel Computing and Optimization TechniquesScientific Computing and Data Management
Cited by 74
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When FLUE Meets FLANG: Benchmarks and Large Pretrained Language Model for Financial Domain
Shah, R., Chawla, K., Eidnani, D., Shah, A., Du, W., Chava, S., Raman, N., Smiley, C., Chen, J., & Yang, D. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
Topic ModelingNatural Language Processing Techniques
Cited by 74
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Atlas registration for edema-corrected MRI lesion volume in mouse stroke models
Koch, S., Mueller, S., Foddis, M., Bienert, T., von Elverfeldt, D., Knab, F., Farr, T. D., Bernard, R., Dopatka, M., Rex, A., et al. (2019) · Journal of Cerebral Blood Flow & Metabolism
Medical Image Segmentation TechniquesAdvanced MRI Techniques and Applications
Cited by 74
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Dense X Retrieval: What Retrieval Granularity Should We Use?
Chen, T., Wang, H., Chen, S., Yu, W., Ma, K., Zhao, X., Zhang, H., & Yu, D. (2023) · arXiv
Topic ModelingInformation Retrieval and Search Behavior
Cited by 74
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Sustainable Growth and Token Economy Design: The Case of Steemit
Kim, M. S., & Chung, J. Y. (2018) · Sustainability
Blockchain Technology Applications and SecurityFinTech, Crowdfunding, Digital Finance
Cited by 74
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Hybrid graph convolutional network with online masked autoencoder for robust multimodal cancer survival prediction
Hou, W., Lin, C., Yu, L., Qin, J., Yu, R., & Wang, L. (2023) · IEEE Transactions on Medical Imaging
Machine Learning in HealthcareAdvanced Graph Neural Networks
Cited by 74
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Artificial Intelligence Advancements in Oncology: A Review of Current Trends and Future Directions
Huhulea, E. N., Huang, L., Eng, S., Sumawi, B., Huang, A., Aifuwa, E., Hirani, R., Tiwari, R. K., & Etienne, M. (2025) · Biomedicines
AI in cancer detectionArtificial Intelligence in Healthcare and Education
Cited by 74
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Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering
Adlakha, V., BehnamGhader, P., Lu, X. H., Meade, N., & Reddy, S. (2024) · Transactions of the Association for Computational Linguistics
Topic ModelingInformation Retrieval and Search Behavior
Cited by 74
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