Check computer science papers: citations, claims and retractions

Human-Machine Interface: Design Principles of Visual Information in Human-Machine Interface Design

Gong, C. (2009) · 2009 International Conference on Intelligent Human-Machine Systems and Cybernetics

Usability and User Interface DesignData Visualization and Analytics

Cited by 40

Towards Giving Timely Formative Feedback and Hints to Novice Programmers

Jeuring, J., Keuning, H., Marwan, S., Bouvier, D., Izu, C., Kiesler, N., Lehtinen, T., Lohr, D., Peterson, A., & Sarsa, S. (2022) · Proceedings of the 2022 Working Group Reports on Innovation and Technology in Computer Science Education

Teaching and Learning ProgrammingIntelligent Tutoring Systems and Adaptive Learning

Cited by 40

A mapping study on documentation in Continuous Software Development

Theunissen, T., van Heesch, U., & Avgeriou, P. (2022) · Information and Software Technology

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 40

“Gold standard” data for evaluation and comparison of 3D/2D registration methods

Tomaževič, D., Likar, B., & Pernuš, F. (2004) · Computer Aided Surgery

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 40

Reducing the Operational Cost of Cloud Data Centers through Renewable Energy

Laganà, D., Mastroianni, C., Meo, M., & Renga, D. (2018) · Algorithms

Cloud Computing and Resource ManagementEnergy Efficiency in Computing

Cited by 40

Community health workers’ experiences of using video teaching tools during home visits—a pilot study

Coetzee, B., Kohrman, H., Tomlinson, M., Mbewu, N., Le Roux, I., & Adam, M. (2018) · Health & Social Care in the Community

ICT in Developing CommunitiesMobile Health and mHealth Applications

Cited by 40

Effectiveness of contact tracing apps for SARS-CoV-2: a rapid systematic review

Jenniskens, K., Bootsma, M. C. J., Damen, J. A. A. G., Oerbekke, M. S., Vernooij, R. W. M., Spijker, R., Moons, K. G. M., Kretzschmar, M. E. E., & Hooft, L. (2021) · BMJ Open

COVID-19 Digital Contact TracingCOVID-19 epidemiological studies

Cited by 40

Anomaly Detection in Railway Sensor Data Environments: State-of-the-Art Methods and Empirical Performance Evaluation

Bałdyga, M., Barański, K., Belter, J., Kalinowski, M., & Weichbroth, P. (2024) · Sensors

Anomaly Detection Techniques and ApplicationsTransportation Systems and Safety

Cited by 40

A Dataset for Answering Time-Sensitive Questions

Chen, W., Wang, X., & Wang, W. Y. (2021) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 40

An Accuracy Metric: Percentages, Randomness, and Probabilities

Fisher, C. W., Lauria, E. J. M., & Matheus, C. C. (2009) · Journal of Data and Information Quality

Data Quality and ManagementAlgorithms and Data Compression

Cited by 40

Exploring the Learnability of Program Synthesizers by Novice Programmers

Jayagopal, D., Lubin, J., & Chasins, S. E. (2022) · Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology

Teaching and Learning ProgrammingSpreadsheets and End-User Computing

Cited by 40

Multimodal Parameter-Efficient Few-Shot Class Incremental Learning

D’Alessandro, M., Alonso, A., Calabrés, E., & Galar, M. (2023) · 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

Domain Adaptation and Few-Shot LearningMultimodal Machine Learning Applications

Cited by 40

Object Detection from the Video Taken by Drone via Convolutional Neural Networks

Sun, C., Zhan, W., She, J., & Zhang, Y. (2020) · Mathematical Problems in Engineering

Advanced Neural Network ApplicationsInfrastructure Maintenance and Monitoring

Cited by 40

Blockchain for Identity Management: The Implications to Personal Data Protection

Sim, W. L., Chua, H. N., & Tahir, M. (2019) · 2019 IEEE Conference on Application, Information and Network Security (AINS)

Blockchain Technology Applications and SecurityDigitalization, Law, and Regulation

Cited by 40

Evaluating the Quality of Learning Resources: A Learnersourcing Approach

Abdi, S., Khosravi, H., Sadiq, S., & Demartini, G. (2021) · IEEE Transactions on Learning Technologies

Online Learning and AnalyticsMobile Crowdsensing and Crowdsourcing

Cited by 40

Self-organizing neural networks for universal learning and multimodal memory encoding

Tan, A.-H., Subagdja, B., Wang, D., & Meng, L. (2019) · Neural Networks

Neural Networks and ApplicationsCognitive Computing and Networks

Cited by 40

Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment

Raina, V., Liusie, A., & Gales, M. (2024) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 40

Human-like Summarization Evaluation with ChatGPT

Gao, M., Ruan, J., Sun, R., Yin, X., Yang, S., & Wan, X. (2023) · arXiv

Advanced Text Analysis TechniquesTopic Modeling

Cited by 40

Reinforcement learning and artificial agency

Butlin, P. (2024) · Mind & Language

Reinforcement Learning in RoboticsFree Will and Agency

Cited by 40

LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT

Wang, R., Bai, Q., Ao, J., Zhou, L., Xiong, Z., Wei, Z., Zhang, Y., Ko, T., & Li, H. (2022) · Interspeech 2022

Speech Recognition and SynthesisAdvanced Neural Network Applications

Cited by 40

Enhancing User Experience Through Customisation of UI Design

Hui, S. L. T., & See, S. L. (2015) · Procedia Manufacturing

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 40

Mobile Traffic Classification Through Physical Control Channel Fingerprinting: A Deep Learning Approach

Trinh, H. D., Fernandez Gambin, A., Giupponi, L., Rossi, M., & Dini, P. (2021) · IEEE Transactions on Network and Service Management

Internet Traffic Analysis and Secure E-votingWireless Signal Modulation Classification

Cited by 40

Pilot Study of Aurora, a Social, Mobile-Phone-Based Emotion Sharing and Recording System

Gay, G., Pollak, J. P., Adams, P., & Leonard, J. P. (2011) · Journal of Diabetes Science and Technology

Innovative Human-Technology InteractionMobile Health and mHealth Applications

Cited by 40

QualityNet: Segmentation quality evaluation with deep convolutional networks

Huang, C., Wu, Q., & Meng, F. (2016) · 2016 Visual Communications and Image Processing (VCIP)

Advanced Neural Network ApplicationsMedical Image Segmentation Techniques

Cited by 40