Check computer science papers: citations, claims and retractions

A Blockchain-Based Authorization System for Trustworthy Resource Monitoring and Trading in Smart Communities

Alcarria, R., Bordel, B., Robles, T., Martín, D., & Manso-Callejo, M.-Á. (2018) · Sensors

Blockchain Technology Applications and SecuritySmart Grid Energy Management

Cited by 81

A Comparison of Pre-trained Vision-and-Language Models for Multimodal Representation Learning across Medical Images and Reports

Li, Y., Wang, H., & Luo, Y. (2020) · 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 81

Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation

Mosbach, M., Pimentel, T., Ravfogel, S., Klakow, D., & Elazar, Y. (2023) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 81

Roadmap for edge AI: a Dagstuhl perspective

Ding, A. Y., Peltonen, E., Meuser, T., Aral, A., Becker, C., Dustdar, S., Hiessl, T., Kranzlmüller, D., Liyanage, M., Maghsudi, S., et al. (2022) · ACM SIGCOMM Computer Communication Review

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 81

Accountability in Algorithmic Decision-making: A view from computational journalism

Diakopoulos, N. (2015) · Queue

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 81

Recognizing Human Activity in Free-Living Using Multiple Body-Worn Accelerometers

Fullerton, E., Heller, B., & Munoz-Organero, M. (2017) · IEEE Sensors Journal

Context-Aware Activity Recognition SystemsPhysical Activity and Health

Cited by 81

To Live in Their Utopia: Why Algorithmic Systems Create Absurd Outcomes

Alkhatib, A. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AICybernetics and Technology in Society

Cited by 81

Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding

Dziri, N., Madotto, A., Zaïane, O., & Bose, A. J. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Speech and dialogue systemsTopic Modeling

Cited by 81

Improved neural network based language modelling and adaptation

Park, J., Liu, X., Gales, M. J. F., & Woodland, P. C. (2010) · Interspeech 2010

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 81

Deep Learning-Based Computer-Aided Fetal Echocardiography: Application to Heart Standard View Segmentation for Congenital Heart Defects Detection

Nurmaini, S., Rachmatullah, M. N., Sapitri, A. I., Darmawahyuni, A., Tutuko, B., Firdaus, F., Partan, R. U., & Bernolian, N. (2021) · Sensors

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 81

HOW TO MAKE THE QUANTUM ADIABATIC ALGORITHM FAIL

FARHI, E., GOLDSTONE, J., GUTMANN, S., & NAGAJ, D. (2008) · International Journal of Quantum Information

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 81

Exploring the Effects of Technological Writing Assistance for Support Providers in Online Mental Health Community

Peng, Z., Guo, Q., Tsang, K. W., & Ma, X. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionMental Health via Writing

Cited by 81

Early fault-tolerant simulations of the Hubbard model

Campbell, E. T. (2022) · Quantum Science and Technology

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 81

Vehicle Detection in Urban Traffic Surveillance Images Based on Convolutional Neural Networks with Feature Concatenation

Zhang, F., Li, C., & Yang, F. (2019) · Sensors

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 81

Detection in adverse weather conditions for autonomous vehicles via deep learning

Al-Haija, Q. A., Gharaibeh, M., & Odeh, A. (2022) · AI

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 81

Multi-walker discrete time quantum walks on arbitrary graphs, their properties and their photonic implementation

Rohde, P. P., Schreiber, A., Štefaňák, M., Jex, I., & Silberhorn, C. (2011) · New Journal of Physics

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 81

Network Sketching: Exploiting Binary Structure in Deep CNNs

Guo, Y., Yao, A., Zhao, H., & Chen, Y. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsAdvanced Memory and Neural Computing

Cited by 81

Code Forking, Governance, and Sustainability in Open Source Software

Nyman, L., & Lindman, J. (2013) · Technology Innovation Management Review

Open Source Software InnovationsSoftware Engineering Techniques and Practices

Cited by 81

Sentiment analysis of user comments for one-class collaborative filtering over ted talks

Pappas, N., & Popescu-Belis, A. (2013) · Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval

Recommender Systems and TechniquesSentiment Analysis and Opinion Mining

Cited by 81

Models and Algorithms for Tracking of Maneuvering Objects Using Variable Rate Particle Filters

Godsill, S. J., Vermaak, J., Ng, W., & Li, J. F. (2007) · Proceedings of the IEEE

Target Tracking and Data Fusion in Sensor NetworksInertial Sensor and Navigation

Cited by 81

The relationship between virtual body ownership and temperature sensitivity

Llobera, J., Sanchez-Vives, M. V., & Slater, M. (2013) · Journal of The Royal Society Interface

Virtual Reality Applications and ImpactsTactile and Sensory Interactions

Cited by 81

Better Metrics for Evaluating Explainable Artificial Intelligence

Rosenfeld, A. (2021) · International Joint Conference on Autonomous Agents and Multiagent Systems

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 81

Dissociation Between Users’ Explicit and Implicit Attitudes Toward Artificial Intelligence: An Experimental Study

Fietta, V., Zecchinato, F., Stasi, B. D., Polato, M., & Monaro, M. (2022) · IEEE Transactions on Human-Machine Systems

Ethics and Social Impacts of AISocial and Intergroup Psychology

Cited by 81

What help do developers seek, when and how?

Li, H., Xing, Z., Peng, X., & Zhao, W. (2013) · 2013 20th Working Conference on Reverse Engineering (WCRE)

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 81