Most cited computer science papers
- Verified
FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation
Hofstätter, S., Chen, J., Raman, K., & Zamani, H. (2022) · arXiv
Topic ModelingInformation Retrieval and Search Behavior
Cited by 51
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Shifting the Load: a Peer Dialogue Agent that Encourages its Human Collaborator to Contribute More to Problem Solving
Howard, C., Jordan, P., Di Eugenio, B., & Katz, S. (2017) · International Journal of Artificial Intelligence in Education
Intelligent Tutoring Systems and Adaptive LearningInnovative Teaching and Learning Methods
Cited by 51
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New technologies and mixed-use convergence: How humans and algorithms are adapting to each other
Applin, S. A., & Fischer, M. D. (2015) · 2015 IEEE International Symposium on Technology and Society (ISTAS)
Ethics and Social Impacts of AIInformation Systems Theories and Implementation
Cited by 51
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A multimodal and fully automated system for prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer
Mao, N., Dai, Y., Zhou, H., Lin, F., Zheng, T., Li, Z., Yang, P., Zhao, F., Li, Q., Wang, W., et al. (2025) · Science Advances
AI in cancer detectionBreast Cancer Treatment Studies
Cited by 51
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Universal Approximation Capability of Cascade Correlation for Structures
Hammer, B., Micheli, A., & Sperduti, A. (2005) · Neural Computation
Neural Networks and ApplicationsMachine Learning and ELM
Cited by 51
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Personalized Robot Tutoring Using the Assistive Tutor POMDP (AT-POMDP)
Ramachandran, A., Sebo, S. S., & Scassellati, B. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence
Intelligent Tutoring Systems and Adaptive LearningSocial Robot Interaction and HRI
Cited by 51
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The Sweet-Home speech and multimodal corpus for home automation interaction
Vacher, M., Lecouteux, B., Chahuara, P., Portet, F., Meillon, B., & Bonnefond, N. (2014) · Proceedings of the Language Resources and Evaluation Conference
Context-Aware Activity Recognition SystemsSpeech and dialogue systems
Cited by 51
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QuALITY: Question Answering with Long Input Texts, Yes!
Pang, R. Y., Parrish, A., Joshi, N., Nangia, N., Phang, J., Chen, A., Padmakumar, V., Ma, J., Thompson, J., He, H., et al. (2022) · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Topic ModelingNatural Language Processing Techniques
Cited by 51
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Reflective Informatics Through Family Storytelling: Self-discovering Physical Activity Predictors
Saksono, H., & Parker, A. G. (2017) · Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems
Innovative Human-Technology InteractionMobile Health and mHealth Applications
Cited by 51
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Design Friction
Mejtoft, T., Hale, S., & Söderström, U. (2019) · Proceedings of the 31st European Conference on Cognitive Ergonomics
Usability and User Interface DesignInnovative Human-Technology Interaction
Cited by 51
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The Goal Circuit Model: A Hierarchical Multi‐Route Model of the Acquisition and Control of Routine Sequential Action in Humans
Cooper, R. P., Ruh, N., & Mareschal, D. (2014) · Cognitive Science
AI-based Problem Solving and PlanningMotor Control and Adaptation
Cited by 51
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SOLE: Hardware-Software Co-design of Softmax and LayerNorm for Efficient Transformer Inference
Wang, W., Zhou, S., Sun, W., Sun, P., & Liu, Y. (2023) · 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD)
Advanced Neural Network ApplicationsLow-power high-performance VLSI design
Cited by 51
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Data sharing in clinical trials – practical guidance on anonymising trial datasets
Keerie, C., Tuck, C., Milne, G., Eldridge, S., Wright, N., & Lewis, S. C. (2018) · Trials
Research Data Management PracticesPrivacy-Preserving Technologies in Data
Cited by 51
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Reconfigurable continuously-coupled 3D photonic circuit for Boson Sampling experiments
Hoch, F., Piacentini, S., Giordani, T., Tian, Z.-N., Iuliano, M., Esposito, C., Camillini, A., Carvacho, G., Ceccarelli, F., Spagnolo, N., et al. (2022) · npj Quantum Information
Quantum Computing Algorithms and ArchitecturePhotonic and Optical Devices
Cited by 51
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Improving Cyberbullying Detection with User Interaction
Ge, S., Cheng, L., & Liu, H. (2021) · Proceedings of the Web Conference 2021
Hate Speech and Cyberbullying DetectionSpam and Phishing Detection
Cited by 51
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Privacy-Enhancing Technologies in Federated Learning for the Internet of Healthcare Things: A Survey
Mosaiyebzadeh, F., Pouriyeh, S., Parizi, R. M., Sheng, Q. Z., Han, M., Zhao, L., Sannino, G., Ranieri, C. M., Ueyama, J., & Batista, D. M. (2023) · Electronics
Privacy-Preserving Technologies in DataInternet of Things and AI
Cited by 51
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Pseudo Labels for Unsupervised Domain Adaptation: A Review
Li, Y., Guo, L., & Ge, Y. (2023) · Electronics
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 51
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A Facial Expression-Aware Multimodal Multi-task Learning Framework for Emotion Recognition in Multi-party Conversations
Zheng, W., Yu, J., Xia, R., & Wang, S. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Emotion and Mood RecognitionSentiment Analysis and Opinion Mining
Cited by 51
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Directed Search: A New Operator in NSGA-II for Task Scheduling in IoT Based on Cloud-Fog Computing
Mousavi, S., Mood, S. E., Souri, A., & Javidi, M. M. (2023) · IEEE Transactions on Cloud Computing
IoT and Edge/Fog ComputingCloud Computing and Resource Management
Cited by 51
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A Robust Image Encryption Algorithm Based on a 32-bit Chaotic System
Li, H., Deng, L., & Gu, Z. (2020) · IEEE Access
Chaos-based Image/Signal EncryptionComputer Science and Engineering
Cited by 51
- VerifiedRetracted
Retracted: Review on Reinforcement Learning, Research Evolution and Scope of Application
Akanksha, E., Jyoti, Sharma, N., & Gulati, K. (2021) · 2021 5th International Conference on Computing Methodologies and Communication (ICCMC)
Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research
Cited by 51
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ContextCam: Bridging Context Awareness with Creative Human-AI Image Co-Creation
Fan, X., Wu, Z., Yu, C., Rao, F., Shi, W., & Tu, T. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems
Generative Adversarial Networks and Image SynthesisDigital Media and Visual Art
Cited by 51
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Bit Efficient Quantization for Deep Neural Networks
Nayak, P., Zhang, D., & Chai, S. (2019) · arXiv
Advanced Neural Network ApplicationsLow-power high-performance VLSI design
Cited by 51
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Demystifying TensorRT: Characterizing Neural Network Inference Engine on Nvidia Edge Devices
Shafi, O., Rai, C., Sen, R., & Ananthanarayanan, G. (2021) · 2021 IEEE International Symposium on Workload Characterization (IISWC)
Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications
Cited by 51
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