Check computer science papers: citations, claims and retractions

RRHF: Rank Responses to Align Language Models with Human Feedback without tears

Yuan, Z., Yuan, H., Tan, C., Wang, W., Huang, S., & Huang, F. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 41

Quantum cognition based on an ambiguous representation derived from a rough set approximation

Gunji, Y.-P., Sonoda, K., & Basios, V. (2016) · Biosystems

Rough Sets and Fuzzy LogicQuantum Mechanics and Applications

Cited by 41

MQT QMAP: Efficient Quantum Circuit Mapping

Wille, R., & Burgholzer, L. (2023) · Proceedings of the 2023 International Symposium on Physical Design

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 41

Prompt Design and Engineering: Introduction and Advanced Methods

Amatriain, X. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 41

Effects of different AI-driven Chatbot feedback on learning outcomes and brain activity

Yin, J., Xu, H., Pan, Y., & Hu, Y. (2025) · npj Science of Learning

Intelligent Tutoring Systems and Adaptive LearningNeuroscience, Education and Cognitive Function

Cited by 41

PSAQ-ViT V2: Toward Accurate and General Data-Free Quantization for Vision Transformers

Li, Z., Chen, M., Xiao, J., & Gu, Q. (2024) · IEEE Transactions on Neural Networks and Learning Systems

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 41

Mobile-Centric Ambient Intelligence in Health- and Homecare—Anticipating Ethical and Legal Challenges

Kosta, E., Pitkänen, O., Niemelä, M., & Kaasinen, E. (2010) · Science and Engineering Ethics

Context-Aware Activity Recognition SystemsEthics and Social Impacts of AI

Cited by 41

Hard pixel mining for depth privileged semantic segmentation

Gu, Z., Niu, L., Zhao, H., & Zhang, L. (2021) · IEEE Transactions on Multimedia

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 41

Natural language processing techniques applied to the electronic health record in clinical research and practice - an introduction to methodologies

Clay, B., Bergman, H. I., Salim, S., Pergola, G., Shalhoub, J., & Davies, A. H. (2025) · Computers in Biology and Medicine

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 41

Occam's razor is insufficient to infer the preferences of irrational agents

Armstrong, S., & Mindermann, S. (2017) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 41

Measuring activities of daily living in stroke patients with motion machine learning algorithms: A pilot study

Chen, P.-W., Baune, N. A., Zwir, I., Wang, J., Swamidass, V., & Wong, A. W. K. (2021) · International Journal of Environmental Research and Public Health

Context-Aware Activity Recognition SystemsStroke Rehabilitation and Recovery

Cited by 41

Secure Data Aggregation with Fully Homomorphic Encryption in Large-Scale Wireless Sensor Networks

Li, X., Chen, D., Li, C., & Wang, L. (2015) · Sensors

Security in Wireless Sensor NetworksCryptography and Data Security

Cited by 41

Exploring Time-Dependent Concerns about Pregnancy and Childbirth from Search Logs

Fourney, A., White, R. W., & Horvitz, E. (2015) · Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

Information Retrieval and Search BehaviorHealth Literacy and Information Accessibility

Cited by 41

Fog Computing Approach for Music Cognition System Based on Machine Learning Algorithm

Lu, L., Xu, L., Xu, B., Li, G., & Cai, H. (2018) · IEEE Transactions on Computational Social Systems

IoT and Edge/Fog ComputingMusic and Audio Processing

Cited by 41

Towards image-based animal tracking in natural environments using a freely moving camera

Haalck, L., Mangan, M., Webb, B., & Risse, B. (2020) · Journal of Neuroscience Methods

Video Surveillance and Tracking MethodsAdvanced Vision and Imaging

Cited by 41

Fisher-information-based data compression for estimation using two sensors

Fowler, M. L., & Chen, M. (2005) · IEEE Transactions on Aerospace and Electronic Systems

Advanced Data Compression TechniquesDistributed Sensor Networks and Detection Algorithms

Cited by 41

Vision Transformers with Patch Diversification

Gong, C., Wang, D., Li, M., Chandra, V., & Liu, Q. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 41

Quantum proofs for classical theorems

Drucker, A., & de Wolf, R. (2011) · Theory of Computing

Quantum Computing Algorithms and ArchitectureComplexity and Algorithms in Graphs

Cited by 41

DistB-SDoIndustry: Enhancing Security in Industry 4.0 Services based on Distributed Blockchain through Software Defined Networking-IoT Enabled Architecture

Rahman, A., Sara, U., Kundu, D., Islam, S., Jahidul, M., Hasan, M., Rahman, Z., & Kamal, M. (2020) · International Journal of Advanced Computer Science and Applications

Blockchain Technology Applications and SecurityIoT and Edge/Fog Computing

Cited by 41

A Novel Framework for the Generation of Multiple Choice Question Stems Using Semantic and Machine-Learning Techniques

Kumar, A. P., Nayak, A., K, M. S., Chaitanya, & Ghosh, K. (2024) · International Journal of Artificial Intelligence in Education

Natural Language Processing TechniquesEducational Technology and Assessment

Cited by 41

Older adults’ learning motivations in massive open online courses

Xiong, J., & Zuo, M. (2019) · Educational Gerontology

Online Learning and AnalyticsOnline and Blended Learning

Cited by 41

QuClassi: A Hybrid Deep Neural Network Architecture based on Quantum State Fidelity

Stein, S. A., Baheri, B., Chen, D., Mao, Y., Guan, Q., Li, A., Xu, S., & Ding, C. (2021) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 41

Multiplex visibility graphs to investigate recurrent neural network dynamics

Bianchi, F. M., Livi, L., Alippi, C., & Jenssen, R. (2017) · Scientific Reports

Neural Networks and Reservoir ComputingNeural Networks and Applications

Cited by 41

Direct Output Connection for a High-Rank Language Model

Takase, S., Suzuki, J., & Nagata, M. (2018) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 41