Most cited computer science papers
- Verified
Evidence on Virtual Reality-Based Therapies for Psychiatric Disorders: Meta-Review of Meta-Analyses
Dellazizzo, L., Potvin, S., Luigi, M., & Dumais, A. (2020) · Journal of Medical Internet Research
Virtual Reality Applications and ImpactsDigital Mental Health Interventions
Cited by 135
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Exponentially more precise quantum simulation of fermions in second quantization
Babbush, R., Berry, D. W., Kivlichan, I. D., Wei, A. Y., Love, P. J., & Aspuru-Guzik, A. (2016) · New Journal of Physics
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 135
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Evaluation of parameterized quantum circuits: on the relation between classification accuracy, expressibility, and entangling capability
Hubregtsen, T., Pichlmeier, J., Stecher, P., & Bertels, K. (2021) · Quantum Machine Intelligence
Quantum Computing Algorithms and ArchitectureQuantum many-body systems
Cited by 135
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CORe50: a New Dataset and Benchmark for Continuous Object Recognition
Lomonaco, V., & Maltoni, D. (2017) · arXiv
Domain Adaptation and Few-Shot LearningData Stream Mining Techniques
Cited by 135
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Gaze and turn-taking behavior in casual conversational interactions
Jokinen, K., Furukawa, H., Nishida, M., & Yamamoto, S. (2013) · ACM Transactions on Interactive Intelligent Systems
Speech and dialogue systemsLanguage, Discourse, Communication Strategies
Cited by 135
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Delving into adversarial attacks on deep policies
Kos, J., & Song, D. (2017) · arXiv
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 135
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Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings
Ren, H., Hu, W., & Leskovec, J. (2020) · arXiv
Advanced Graph Neural NetworksTopic Modeling
Cited by 135
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Two-photon quantum walks in an elliptical direct-write waveguide array
Owens, J. O., Broome, M. A., Biggerstaff, D. N., Goggin, M. E., Fedrizzi, A., Linjordet, T., Ams, M., Marshall, G. D., Twamley, J., Withford, M. J., et al. (2011) · New Journal of Physics
Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography
Cited by 135
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Anxiety level recognition for virtual reality therapy system using physiological signals
Šalkevicius, J., Damaševičius, R., Maskeliunas, R., & Laukienė, I. (2019) · Electronics
Emotion and Mood RecognitionVirtual Reality Applications and Impacts
Cited by 135
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Mapping of Crowdsourcing in Health: Systematic Review
Créquit, P., Mansouri, G., Benchoufi, M., Vivot, A., & Ravaud, P. (2018) · Journal of Medical Internet Research
Mobile Crowdsensing and CrowdsourcingOpen Source Software Innovations
Cited by 135
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CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices
Capotondi, A., Rusci, M., Fariselli, M., & Benini, L. (2020) · IEEE Transactions on Circuits and Systems II: Express Briefs
Advanced Neural Network ApplicationsIoT and Edge/Fog Computing
Cited by 135
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A Diverse Corpus for Evaluating and Developing English Math Word Problem Solvers
Miao, S.-Y., Liang, C.-C., & Su, K.-Y. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Topic ModelingNatural Language Processing Techniques
Cited by 135
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Deep Learning for Mobile Multimedia: A Survey
Ota, K., Dao, M. S., Mezaris, V., & Natale, F. G. B. D. (2017) · ACM Transactions on Multimedia Computing, Communications, and Applications
Advanced Neural Network ApplicationsIoT and Edge/Fog Computing
Cited by 135
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A Chaotic Image Encryption Algorithm Based on Information Entropy
Ye, G., Pan, C., Huang, X., Zhao, Z., & He, J. (2018) · International Journal of Bifurcation and Chaos
Chaos-based Image/Signal EncryptionComputer Science and Engineering
Cited by 135
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Dense Reconstruction Using 3D Object Shape Priors
Dame, A., Prisacariu, V. A., Ren, C. Y., & Reid, I. (2013) · 2013 IEEE Conference on Computer Vision and Pattern Recognition
Robotics and Sensor-Based LocalizationAdvanced Vision and Imaging
Cited by 135
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TCP over multihop 802.11 networks: issues and performance enhancement
Nahm, K., Helmy, A., & Jay Kuo, C.-C. (2005) · Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
Network Traffic and Congestion ControlWireless Networks and Protocols
Cited by 135
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LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning
Liu, B., Zhu, Y., Gao, C., Feng, Y., Liu, Q., Zhu, Y., & Stone, P. (2023) · Advances in Neural Information Processing Systems 36
Reinforcement Learning in RoboticsRobot Manipulation and Learning
Cited by 135
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Continual Learning of Large Language Models: A Comprehensive Survey
Shi, H., Xu, Z., Wang, H., Qin, W., Wang, W., Wang, Y., Wang, Z., Ebrahimi, S., & Wang, H. (2024) · arXiv
Domain Adaptation and Few-Shot LearningTopic Modeling
Cited by 135
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Autofocus Layer for Semantic Segmentation
Qin, Y., Kamnitsas, K., Ancha, S., Nanavati, J., Cottrell, G., Criminisi, A., & Nori, A. (2018) · arXiv
Advanced Neural Network ApplicationsMedical Image Segmentation Techniques
Cited by 135
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Building simulated queries for known-item topics: an analysis using six european languages
Azzopardi, L., de Rijke, M., & Balog, K. (2007) · Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Information Retrieval and Search BehaviorTopic Modeling
Cited by 135
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Understanding the Capabilities, Limitations, and Societal Impact of Large Language Models
Tamkin, A., Brundage, M., Clark, J., & Ganguli, D. (2021) · arXiv
Ethics and Social Impacts of AITopic Modeling
Cited by 135
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Challenges and contexts in establishing adaptive learning in higher education: findings from a Delphi study
Mirata, V., Hirt, F., Bergamin, P., & van der Westhuizen, C. (2020) · International Journal of Educational Technology in Higher Education
Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning
Cited by 135
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Comicboarding: using comics as proxies for participatory design with children
Moraveji, N., Li, J., Ding, J., O'Kelley, P., & Woolf, S. (2007) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Innovative Human-Technology InteractionDesign Education and Practice
Cited by 135
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Scene Parsing by Integrating Function, Geometry and Appearance Models
Zhao, Y., & Zhu, S.-C. (2013) · 2013 IEEE Conference on Computer Vision and Pattern Recognition
Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques
Cited by 135
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