Check computer science papers: citations, claims and retractions

Beat the Machine: Challenging Humans to Find a Predictive Model's “Unknown Unknowns”

Attenberg, J., Ipeirotis, P., & Provost, F. (2015) · Journal of Data and Information Quality

Software Testing and Debugging TechniquesMachine Learning and Data Classification

Cited by 103

A Hardware-Aware Heuristic for the Qubit Mapping Problem in the NISQ Era

Niu, S., Suau, A., Staffelbach, G., & Todri-Sanial, A. (2020) · IEEE Transactions on Quantum Engineering

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 103

A Review on Deep-Learning-Based Cyberbullying Detection

Hasan, M. T., Hossain, M. A. E., Mukta, M. S. H., Akter, A., Ahmed, M., & Islam, S. (2023) · Future Internet

Hate Speech and Cyberbullying DetectionSpam and Phishing Detection

Cited by 103

The overlap gap property: A topological barrier to optimizing over random structures

Gamarnik, D. (2021) · Proceedings of the National Academy of Sciences

Constraint Satisfaction and OptimizationComplexity and Algorithms in Graphs

Cited by 103

A Systematic Literature Review of Empirical Research on Epistemic Network Analysis in Education

Elmoazen, R., Saqr, M., Tedre, M., & Hirsto, L. (2022) · IEEE Access

Online Learning and AnalyticsEducational Research and Methods

Cited by 103

Learning sparse nonparametric DAGs.

Zheng, X., Dan, C., Aragam, B., Ravikumar, P., & Xing, E. P. (2019) · arXiv

Bayesian Modeling and Causal InferenceStatistical Methods and Inference

Cited by 103

Automatic Inference of Programming Performance and Experience from Typing Patterns

Leinonen, J., Longi, K., Klami, A., & Vihavainen, A. (2016) · Proceedings of the 47th ACM Technical Symposium on Computing Science Education

Teaching and Learning ProgrammingOnline Learning and Analytics

Cited by 103

From Responsibility to Reason-Giving Explainable Artificial Intelligence

Baum, K., Mantel, S., Schmidt, E., & Speith, T. (2022) · Philosophy & Technology

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

Cited by 103

The Impact of AI-Personalized Recommendations on Clicking Intentions: Evidence from Chinese E-Commerce

Yin, J., Qiu, X., & Wang, Y. (2025) · Journal of Theoretical and Applied Electronic Commerce Research

Recommender Systems and TechniquesAI in Service Interactions

Cited by 103

A Nutritional Label for Rankings

Yang, K., Stoyanovich, J., Asudeh, A., Howe, B., Jagadish, H., & Miklau, G. (2018) · Proceedings of the 2018 International Conference on Management of Data

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 103

What Does All This Data Mean for My Future Mood? Actionable Analytics and Targeted Reflection for Emotional Well-Being

Hollis, V., Konrad, A., Springer, A., Antoun, M., Antoun, C., Martin, R., & Whittaker, S. (2017) · Human–Computer Interaction

Innovative Human-Technology InteractionDigital Mental Health Interventions

Cited by 103

Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection

Akcay, S., Atapour-Abarghouei, A., & Breckon, T. P. (2019) · 2019 International Joint Conference on Neural Networks (IJCNN)

Anomaly Detection Techniques and ApplicationsAdversarial Robustness in Machine Learning

Cited by 103

Decoupled Two-Stage Crowd Counting and Beyond

Cheng, J., Xiong, H., Cao, Z., & Lu, H. (2021) · IEEE Transactions on Image Processing

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 103

Dew-Cloud-Based Hierarchical Federated Learning for Intrusion Detection in IoMT

Singh, P., Gaba, G. S., Kaur, A., Hedabou, M., & Gurtov, A. (2023) · IEEE Journal of Biomedical and Health Informatics

Privacy-Preserving Technologies in DataNetwork Security and Intrusion Detection

Cited by 103

Demystifying Brain Tumor Segmentation Networks: Interpretability and Uncertainty Analysis

Natekar, P., Kori, A., & Krishnamurthi, G. (2020) · Frontiers in Computational Neuroscience

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 103

Benchmarking a trapped-ion quantum computer with 30 qubits

Chen, J.-S., Nielsen, E., Ebert, M., Inlek, V., Wright, K., Chaplin, V., Maksymov, A., Páez, E., Poudel, A., Maunz, P., et al. (2024) · Quantum

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 103

High-Speed Tracking with Multi-kernel Correlation Filters

Tang, M., Yu, B., Zhang, F., & Wang, J. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Video Surveillance and Tracking MethodsAdvanced Image and Video Retrieval Techniques

Cited by 103

Automatic coding of dialogue acts in collaboration protocols

Erkens, G., & Janssen, J. (2008) · International Journal of Computer-Supported Collaborative Learning

Speech and dialogue systemsInnovative Teaching and Learning Methods

Cited by 103

Too Late to be Creative? AI-Empowered Tools in Creative Processes

Hwang, A. H.-C. (2022) · CHI Conference on Human Factors in Computing Systems Extended Abstracts

Innovative Human-Technology InteractionDesign Education and Practice

Cited by 103

CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Smit, A., Jain, S., Rajpurkar, P., Pareek, A., Ng, A. Y., & Lungren, M. P. (2020) · arXiv

Multimodal Machine Learning ApplicationsMachine Learning in Healthcare

Cited by 103

Moving object tracking using optical flow and motion vector estimation

Kale, K., Pawar, S., & Dhulekar, P. (2015) · 2015 4th International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions)

Video Surveillance and Tracking MethodsAdvanced Vision and Imaging

Cited by 103

Terrain Adaptive Navigation for Planetary Rovers

Helmick, D., Angelova, A., & Matthies, L. (2009) · Journal of Field Robotics

Robotics and Sensor-Based LocalizationRobotic Path Planning Algorithms

Cited by 103

Responsible Autonomy

Dignum, V. (2017) · arXiv

Ethics and Social Impacts of AIEthics in Business and Education

Cited by 103

A Comprehensive Analysis of Recent Deep and Federated-Learning-Based Methodologies for Brain Tumor Diagnosis

Naeem, A., Anees, T., Naqvi, R. A., & Loh, W.-K. (2022) · Journal of Personalized Medicine

Brain Tumor Detection and ClassificationAI in cancer detection

Cited by 103