Most cited computer science papers
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Monitoring Screen Time or Redesigning It?: Two Approaches to Supporting Intentional Social Media Use
Zhang, M. R., Lukoff, K., Rao, R., Baughan, A., & Hiniker, A. (2022) · CHI Conference on Human Factors in Computing Systems
Innovative Human-Technology InteractionImpact of Technology on Adolescents
Cited by 43
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Not All Attention Is Needed: Gated Attention Network for Sequence Data
Xue, L., Li, X., & Zhang, N. L. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence
Topic ModelingAdvanced Neural Network Applications
Cited by 43
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Mercury: Efficient On-Device Distributed DNN Training via Stochastic Importance Sampling
Zeng, X., Yan, M., & Zhang, M. (2021) · Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems
IoT and Edge/Fog ComputingPrivacy-Preserving Technologies in Data
Cited by 43
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Snorkel MeTaL: Weak Supervision for Multi-Task Learning
Ratner, A., Hancock, B., Dunnmon, J., Goldman, R., & Ré, C. (2018) · Proceedings of the Second Workshop on Data Management for End-To-End Machine Learning
Machine Learning and Data ClassificationMachine Learning and Algorithms
Cited by 43
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Spoofing countermeasures for the protection of automatic speaker recognition systems against attacks with artificial signals
Alegre, F., Vipperla, R., & Evans, N. (2012) · Interspeech 2012
Speech Recognition and SynthesisBiometric Identification and Security
Cited by 43
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Land cover change detection: a case study
Boriah, S., Kumar, V., Steinbach, M., Potter, C., & Klooster, S. (2008) · Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Remote-Sensing Image ClassificationRemote Sensing and Land Use
Cited by 43
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A Survey of Reinforcement Learning from Human Feedback
Kaufmann, T., Weng, P., Bengs, V., & Hüllermeier, E. (2023) · arXiv
Reinforcement Learning in RoboticsMachine Learning and Algorithms
Cited by 43
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The Carbon Footprint of Bitcoin
Stoll, C., KlaaBen, L., & Gallersdörfer, U. (2019) · SSRN Electronic Journal
Blockchain Technology Applications and SecurityGreen IT and Sustainability
Cited by 43
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MuLViS: Multi-level encryption based security system for surveillance videos
Shifa, A., Asghar, M. N., Fleury, M., Kanwal, N., Ansari, M. S., Lee, B., Herbst, M., & Qiao, Y. (2020) · IEEE Access
Video Surveillance and Tracking MethodsChaos-based Image/Signal Encryption
Cited by 43
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SumPubMed: Summarization Dataset of PubMed Scientific Articles
Gupta, V., Bharti, P., Nokhiz, P., & Karnick, H. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop
Advanced Text Analysis TechniquesBiomedical Text Mining and Ontologies
Cited by 43
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A machine learning framework for TCP round-trip time estimation
Arouche Nunes, B. A., Veenstra, K., Ballenthin, W., Lukin, S., & Obraczka, K. (2014) · EURASIP Journal on Wireless Communications and Networking
Network Traffic and Congestion ControlSoftware-Defined Networks and 5G
Cited by 43
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IP-QAT: in-product questions, answers, & tips
Matejka, J., Grossman, T., & Fitzmaurice, G. (2011) · Proceedings of the 24th annual ACM symposium on User interface software and technology
Expert finding and Q&A systemsUsability and User Interface Design
Cited by 43
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The hidden faces of automation
Irani, L. (2016) · XRDS: Crossroads, The ACM Magazine for Students
Ethics and Social Impacts of AIArtificial Intelligence Applications
Cited by 43
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Can Large Language Models Understand Real-World Complex Instructions?
He, Q., Zeng, J., Huang, W., Chen, L., Xiao, J., He, Q., Zhou, X., Chen, L., Wang, X., Huang, Y., et al. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 43
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Deep detector classifier (DeepDC) for moving objects segmentation and classification in video surveillance
Ammar, S., Bouwmans, T., Zaghden, N., & Neji, M. (2020) · IET Image Processing
Video Surveillance and Tracking MethodsAdvanced Neural Network Applications
Cited by 43
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Block-Recurrent Transformers
Hutchins, D., Schlag, I., Wu, Y., Dyer, E., & Neyshabur, B. (2022) · arXiv
Neural Networks and ApplicationsTopic Modeling
Cited by 43
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Comparison of the hardware architectures and FPGA implementations of stream ciphers
Galanis, M. D., Kitsos, P., Kostopoulos, G., Sklavos, N., Koufopavlou, O., & Goutis, C. E. (2005) · Proceedings of the 2004 11th IEEE International Conference on Electronics, Circuits and Systems, 2004. ICECS 2004.
Cryptographic Implementations and SecurityCoding theory and cryptography
Cited by 43
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Asynchronous Federated and Reinforcement Learning for Mobility-Aware Edge Caching in IoV
Jiang, K., Cao, Y., Song, Y., Zhou, H., Wan, S., & Zhang, X. (2024) · IEEE Internet of Things Journal
Caching and Content DeliveryIoT and Edge/Fog Computing
Cited by 43
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CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning
Tang, X., Nair, A., Wang, B., Wang, B., Desai, J., Wade, A., Li, H., Celikyilmaz, A., Mehdad, Y., & Radev, D. (2022) · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Topic ModelingAdvanced Text Analysis Techniques
Cited by 43
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Capturing Failures of Large Language Models via Human Cognitive Biases
Jones, E., & Steinhardt, J. (2022) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 43
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The journey of qos-aware autonomic cloud computing
Singh, S., Chana, I., & Singh, M. (2017) · IT Professional
Cloud Computing and Resource ManagementDistributed and Parallel Computing Systems
Cited by 43
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Ethics Is a Software Design Concern
Ozkaya, I. (2019) · IEEE Software
Software Engineering Techniques and PracticesFlooding and Environmental Impact
Cited by 43
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GaTO: An Ontological Model to Apply Gamification in Intelligent Tutoring Systems
Dermeval, D., Albuquerque, J., Bittencourt, I. I., Isotani, S., Silva, A. P., & Vassileva, J. (2019) · Frontiers in Artificial Intelligence
Intelligent Tutoring Systems and Adaptive LearningEducational Games and Gamification
Cited by 43
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User experience of mobile photo sharing in the cloud
Vartiainen, E., & Väänänen-Vainio-Mattila, K. (2010) · Proceedings of the 9th International Conference on Mobile and Ubiquitous Multimedia
Usability and User Interface DesignMobile and Web Applications
Cited by 43
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