Check computer science papers: citations, claims and retractions

Benchmarking Foundation Models with Language-Model-as-an-Examiner

Bai, Y., Ying, J., Cao, Y., Lv, X., He, Y., Wang, X., Yu, J., Zeng, K., Xiao, Y., Lyu, H., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 33

Securing Critical Infrastructure with Blockchain Technology: An Approach to Cyber-Resilience

Govea, J., Gaibor-Naranjo, W., & Villegas-Ch, W. (2024) · Computers

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 33

Effects of AI ‐generated adaptive feedback on statistical skills and interest in statistics: A field experiment in higher education

Bauer, E., Richters, C., Pickal, A. J., Klippert, M., Sailer, M., & Stadler, M. (2025) · British Journal of Educational Technology

Intelligent Tutoring Systems and Adaptive LearningStatistics Education and Methodologies

Cited by 33

Deep Copyright: Up-and downstream questions related to artificial intelligence (AI) and machine learning (ML)

Schönberger, D. (2018) · Zeitschrift für geistiges Eigentum

Law, AI, and Intellectual PropertyDigitalization, Law, and Regulation

Cited by 33

Federated Learning for Energy-Efficient Task Computing in Wireless Networks

Wang, S., Chen, M., Saad, W., & Yin, C. (2020) · ICC 2020 - 2020 IEEE International Conference on Communications (ICC)

IoT and Edge/Fog ComputingAdvanced Wireless Network Optimization

Cited by 33

Working in contexts for which transparency is important: A recordkeeping view of explainable artificial intelligence (XAI)

Bunn, J. (2020) · Records Management Journal

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

Cited by 33

Open Challenges in Synthetic Speech Detection

Cuccovillo, L., Papastergiopoulos, C., Vafeiadis, A., Yaroshchuk, A., Aichroth, P., Votis, K., & Tzovaras, D. (2022) · 2022 IEEE International Workshop on Information Forensics and Security (WIFS)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 33

Evaluating search engines and large language models for answering health questions

Fernández-Pichel, M., Pichel, J. C., & Losada, D. E. (2025) · npj Digital Medicine

Information Retrieval and Search BehaviorArtificial Intelligence in Healthcare and Education

Cited by 33

A Comprehensive Survey on Generative AI Solutions in IoT Security

López Delgado, J. L., & López Ramos, J. A. (2024) · Electronics

Network Security and Intrusion DetectionInternet of Things and AI

Cited by 33

Impact of Wearable Measurement Properties and Data Quality on ADLs Classification Accuracy

Poli, A., Cosoli, G., Scalise, L., & Spinsante, S. (2021) · IEEE Sensors Journal

Context-Aware Activity Recognition SystemsNon-Invasive Vital Sign Monitoring

Cited by 33

Data Pre-Processing for Discrimination Prevention: Information-Theoretic Optimization and Analysis

Calmon, F. D. P., Wei, D., Vinzamuri, B., Ramamurthy, K. N., & Varshney, K. R. (2018) · IEEE Journal of Selected Topics in Signal Processing

Ethics and Social Impacts of AIPrivacy-Preserving Technologies in Data

Cited by 33

Constance: modeling annotation contexts to improve stance classification

Joseph, K., Friedland, L., Hobbs, W., Lazer, D., & Tsur, O. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing

Sentiment Analysis and Opinion MiningComputational and Text Analysis Methods

Cited by 33

How to Cope with Change? - Preserving Validity of Predictive Services over Time

Baier, L., Kühl, N., & Satzger, G. (2019) · Proceedings of the Annual Hawaii International Conference on System Sciences

Data Stream Mining TechniquesBig Data and Business Intelligence

Cited by 33

Application-specific compression for time delay estimation in sensor networks

Vasudevan, L., Ortega, A., & Mitra, U. (2003) · Proceedings of the 1st international conference on Embedded networked sensor systems

Distributed Sensor Networks and Detection AlgorithmsEnergy Efficient Wireless Sensor Networks

Cited by 33

Multimodal Metric Learning for Tag-Based Music Retrieval

Won, M., Oramas, S., Nieto, O., Gouyon, F., & Serra, X. (2021) · ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Music and Audio ProcessingRecommender Systems and Techniques

Cited by 33

Can AI Assistants Know What They Don't Know?

Cheng, Q., Sun, T., Liu, X., Zhang, W., Yin, Z., Li, S., Li, L., He, Z., Chen, K., & Qiu, X. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 33

Virtually Real, But Not Quite There: Social and Economic Barriers to Meeting Virtual Reality’s True Potential for Mental Health

Pimentel, D., Foxman, M., Davis, D. Z., & Markowitz, D. M. (2021) · Frontiers in Virtual Reality

Virtual Reality Applications and ImpactsDigital Mental Health Interventions

Cited by 33

PUTraceAD: Trace Anomaly Detection with Partial Labels based on GNN and PU Learning

Zhang, K., Zhang, C., Peng, X., & Sha, C. (2022) · 2022 IEEE 33rd International Symposium on Software Reliability Engineering (ISSRE)

Software System Performance and ReliabilityAnomaly Detection Techniques and Applications

Cited by 33

GatorTron: A Large Language Model for Clinical Natural Language Processing

Yang, X., PourNejatian, N., Shin, H. C., Smith, K. E., Parisien, C., Compas, C., Martin, C., Flores, M. G., Zhang, Y., Magoc, T., et al. (2022) · medRxiv

Machine Learning in HealthcareTopic Modeling

Cited by 33

Prioritized Level Replay

Jiang, M., Grefenstette, E., & Rocktäschel, T. (2020) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 33

A Framework for Current and New Data Quality Dimensions: An Overview

Miller, R., Whelan, H., Chrubasik, M., Whittaker, D., Duncan, P., & Gregório, J. (2024) · Data

Data Quality and ManagementResearch Data Management Practices

Cited by 33

Managing the ethical and risk implications of rapid advances in artificial intelligence: A literature review

Meek, T., Barham, H., Beltaif, N., Kaadoor, A., & Akhter, T. (2016) · 2016 Portland International Conference on Management of Engineering and Technology (PICMET)

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 33

Distribution-aware Adaptive Multi-bit Quantization

Zhao, S., Yue, T., & Hu, X. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 33

On the quantum computational complexity of the Ising spin glass partition function and of knot invariants

Lidar, D. A. (2004) · New Journal of Physics

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 33