Check computer science papers: citations, claims and retractions

Promoting Fairness through Hyperparameter Optimization

F.Cruz, A., Saleiro, P., Belem, C., Soares, C., & Bizarro, P. (2021) · 2021 IEEE International Conference on Data Mining (ICDM)

Ethics and Social Impacts of AIMachine Learning and Data Classification

Cited by 28

A TinyML approach to non-repudiable anomaly detection in extreme industrial environments

Antonini, M., Pincheira, M., Vecchio, M., & Antonelli, F. (2022) · 2022 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT)

Anomaly Detection Techniques and ApplicationsFault Detection and Control Systems

Cited by 28

Solving complex eigenvalue problems on a quantum annealer with applications to quantum scattering resonances

Teplukhin, A., Kendrick, B. K., & Babikov, D. (2020) · Physical Chemistry Chemical Physics

Quantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications

Cited by 28

Using Trust as a Measure to Derive Data Quality in Data Shared IoT Deployments

Byabazaire, J., O'Hare, G., & Delaney, D. (2020) · 2020 29th International Conference on Computer Communications and Networks (ICCCN)

Mobile Crowdsensing and CrowdsourcingData Quality and Management

Cited by 28

Optimal selection of resampling methods for imbalanced data with high complexity

Kim, A., & Jung, I. (2023) · PLOS ONE

Imbalanced Data Classification TechniquesMachine Learning and Data Classification

Cited by 28

Securing LLM-Agent Long-Term Memory Against Poisoning: Non-Malleable, Origin-Bound Authority with Machine-Checked Guarantees

Louck, Y. (2026) · arXiv

Security and Verification in ComputingAdversarial Robustness in Machine Learning

Cited by 28

Spear Phishing With Large Language Models

Hazell, J. (2023) · arXiv

Spam and Phishing DetectionAdversarial Robustness in Machine Learning

Cited by 28

Persistent Clustering and a Theorem of J. Kleinberg

Carlsson, G., & Memoli, F. (2008) · arXiv

Advanced Clustering Algorithms ResearchTopological and Geometric Data Analysis

Cited by 28

Integrated photonic quantum walks

Gräfe, M., & Szameit, A. (2020) · Journal of Physics B: Atomic, Molecular and Optical Physics

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 28

Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation

Gu, Z., Zhu, X., Ye, H., Zhang, L., Wang, J., Zhu, Y., Jiang, S., Xiong, Z., Li, Z., Wu, W., et al. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence

Topic ModelingNatural Language Processing Techniques

Cited by 28

Transparency, Governance and Regulation of Algorithmic Tools Deployed in the Criminal Justice System: a UK Case Study

Zilka, M., Sargeant, H., & Weller, A. (2022) · Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIArtificial Intelligence in Law

Cited by 28

Learning, Forgetting, and Relearning for Keystroke- and Mouse-Driven Tasks: Relearning Is Important

Kim, J. W., & Ritter, F. E. (2015) · Human–Computer Interaction

Usability and User Interface DesignMemory Processes and Influences

Cited by 28

Visuospatial viewpoint manipulation during full-body illusion modulates subjective first-person perspective

Pfeiffer, C., Schmutz, V., & Blanke, O. (2014) · Experimental Brain Research

Virtual Reality Applications and ImpactsMultisensory perception and integration

Cited by 28

Examining explainable clinical decision support systems with think aloud protocols

Anjara, S. G., Janik, A., Dunford-Stenger, A., Mc Kenzie, K., Collazo-Lorduy, A., Torrente, M., Costabello, L., & Provencio, M. (2023) · PLOS ONE

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 28

Unsupervised Video Representation Learning by Bidirectional Feature Prediction

Behrmann, N., Gall, J., & Noroozi, M. (2021) · 2021 IEEE Winter Conference on Applications of Computer Vision (WACV)

Human Pose and Action RecognitionDomain Adaptation and Few-Shot Learning

Cited by 28

Who Needs MLOps: What Data Scientists Seek to Accomplish and How Can MLOps Help?

Makinen, S., Skogstrom, H., Laaksonen, E., & Mikkonen, T. (2021) · 2021 IEEE/ACM 1st Workshop on AI Engineering - Software Engineering for AI (WAIN)

Software Engineering Techniques and PracticesScientific Computing and Data Management

Cited by 28

Virtual treatment for veteran social anxiety disorder: A comparison of 360° video and 3D virtual reality

Nason, E. E., Trahan, M., Smith, S., Metsis, V., & Selber, K. (2020) · Journal of Technology in Human Services

Virtual Reality Applications and ImpactsDigital Mental Health Interventions

Cited by 28

Health-Analytics Data to Evidence Suite (HADES): open-source software for observational research.

Schuemie, M., Reps, J., Black, A., Defalco, F., Evans, L., Fridgeirsson, E., Gilbert, J. P., Knoll, C., Lavallee, M., Rao, G. A., et al. (2024) · Studies in Health Technology and Informatics

Machine Learning in HealthcareMedical Coding and Health Information

Cited by 28

Masquerading attacks detection in mobile ad hoc networks

Abbas, S., Faisal, M., Ur Rahman, H., Khan, M. Z., Merabti, M., & Khan, A. U. R. (2018) · IEEE Access

Mobile Ad Hoc NetworksSecurity in Wireless Sensor Networks

Cited by 28

Analysis of Multi-Sensor Fusion for Mobile and Wearable Sensor Based Human Activity Recognition

Nweke, H. F., Teh, Y. W., Alo, U. R., & Mujtaba, G. (2018) · Proceedings of the International Conference on Data Processing and Applications

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 28

Analysis and perception of speech under physical task stress

Godin, K. W., & Hansen, J. H. L. (2008) · Interspeech 2008

Emotion and Mood RecognitionSpeech and Audio Processing

Cited by 28

ChainCQG: Flow-Aware Conversational Question Generation

Gu, J., Mirshekari, M., Yu, Z., & Sisto, A. (2021) · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume

Speech and dialogue systemsTopic Modeling

Cited by 28

Weakly Supervised Multi-Task Representation Learning for Human Activity Analysis Using Wearables

Sheng, T., & Huber, M. (2020) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsTime Series Analysis and Forecasting

Cited by 28

Assessing Racial and Ethnic Bias in Text Generation for Healthcare-Related Tasks by ChatGPT 1

Hanna, J. J., Wakene, A. D., Lehmann, C. U., & Medford, R. J. (2023) · medRxiv

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 28