Check computer science papers: citations, claims and retractions

Intuitive Interaction With Complex Artefacts.

Blackler, A., Popovic, V., & Mahar, D. (2004) · Proceedings of DRS

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 54

A Study on the Sustainable Development of NPOs with Blockchain Technology

Shin, E.-J., Kang, H.-G., & Bae, K. (2020) · Sustainability

Blockchain Technology Applications and SecurityNonprofit Sector and Volunteering

Cited by 54

How to Wire a 1000 -Qubit Trapped-Ion Quantum Computer

Malinowski, M., Allcock, D. T. C., & Ballance, C. J. (2023) · PRX Quantum

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 54

Explaining Deep Classification of Time-Series Data with Learned Prototypes

Gee, A. H., Garcia-Olano, D., Ghosh, J., & Paydarfar, D. (2019) · arXiv

Explainable Artificial Intelligence (XAI)ECG Monitoring and Analysis

Cited by 54

Evaluation of Spoken Dialogue Technology for Real-Time Health Data Collection

Levin, E., & Levin, A. (2006) · Journal of Medical Internet Research

Speech and dialogue systemsMobile Health and mHealth Applications

Cited by 54

PADA: Example-based Prompt Learning for on-the-fly Adaptation to Unseen Domains

Ben-David, E., Oved, N., & Reichart, R. (2022) · Transactions of the Association for Computational Linguistics

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 54

Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy

Aleixo, E. L., Colonna, J. G., Cristo, M., & Fernandes, E. (2024) · Journal of the Brazilian Computer Society

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 54

Learning From Synthetic Photorealistic Raindrop for Single Image Raindrop Removal

Hao, Z., You, S., Li, Y., Li, K., & Lu, F. (2019) · 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)

Image Enhancement TechniquesAdvanced Neural Network Applications

Cited by 54

Fairwashing: the risk of rationalization

Aïvodji, U., Arai, H., Fortineau, O., Gambs, S., Hara, S., & Tapp, A. (2019) · arXiv

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

Cited by 54

Silva: Interactively Assessing Machine Learning Fairness Using Causality

Yan, J. N., Gu, Z., Lin, H., & Rzeszotarski, J. M. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 54

Can We Edit Factual Knowledge by In-Context Learning?

Zheng, C., Li, L., Dong, Q., Fan, Y., Wu, Z., Xu, J., & Chang, B. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 54

Counterfactual Memorization in Neural Language Models

Zhang, C., Ippolito, D., Lee, K., Jagielski, M., Tramèr, F., & Carlini, N. (2021) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 54

Online Food Ordering System

R., A., Singh, A., Pathan, S., & Kanade, V. (2017) · International Journal of Computer Applications

Mobile and Web ApplicationsEngineering and Information Technology

Cited by 54

A Hybrid Quantum-Classical Approach to Mitigating Measurement Errors in Quantum Algorithms

Kwon, H., & Bae, J. (2021) · IEEE Transactions on Computers

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 54

NaVILA: Legged Robot Vision-Language-Action Model for Navigation

Cheng, A.-C., Ji, Y., Yang, Z., Gongye, Z., Zou, X., Kautz, J., Biyik, E., Yin, H., Liu, S., & Wang, X. (2025) · Robotics: Science and Systems XXI

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 54

Decontextualization: Making Sentences Stand-Alone

Choi, E., Palomaki, J., Lamm, M., Kwiatkowski, T., Das, D., & Collins, M. (2021) · Transactions of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 54

Utilizing Variational Optimization to Learn Markov Random Fields

Tappen, M. F. (2007) · 2007 IEEE Conference on Computer Vision and Pattern Recognition

Image and Signal Denoising MethodsMedical Image Segmentation Techniques

Cited by 54

Traffic Analysis Attacks on Tor: A Survey

Basyoni, L., Fetais, N., Erbad, A., Mohamed, A., & Guizani, M. (2020) · 2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT)

Internet Traffic Analysis and Secure E-votingPrivacy, Security, and Data Protection

Cited by 54

Real-time secure health surveillance for smarter health communities

Alabdulatif, A., Khalil, I., Forkan, A. R. M., & Atiquzzaman, M. (2019) · IEEE Communications Magazine

Cloud Data Security SolutionsInternet of Things and AI

Cited by 54

Universally optimal noisy quantum walks on complex networks

Caruso, F. (2014) · New Journal of Physics

Quantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications

Cited by 54

Testing AI on language comprehension tasks reveals insensitivity to underlying meaning

Dentella, V., Günther, F., Murphy, E., Marcus, G., & Leivada, E. (2024) · Scientific Reports

Topic ModelingNatural Language Processing Techniques

Cited by 54

Anomaly Detection in a Large-Scale Cloud Platform

Islam, M. S., Pourmajidi, W., Zhang, L., Steinbacher, J., Erwin, T., & Miranskyy, A. (2021) · 2021 IEEE/ACM 43rd International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 54

Chain-of-Thought Reasoning Without Prompting

Wang, X., & Zhou, D. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 54

Deep Reinforcement Learning for Syntactic Error Repair in Student Programs

Gupta, R., Kanade, A., & Shevade, S. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 54