Check computer science papers: citations, claims and retractions

Efficient variational simulation of non-trivial quantum states

Ho, W. W., & Hsieh, T. H. (2019) · SciPost Physics

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 139

A Survey on Explainable Anomaly Detection

Li, Z., Zhu, Y., & Van Leeuwen, M. (2024) · ACM Transactions on Knowledge Discovery from Data

Explainable Artificial Intelligence (XAI)Anomaly Detection Techniques and Applications

Cited by 139

Mixing realities? An application of augmented reality for the treatment of cockroach phobia

Botella, C. M., Juan, M. C., Baños, R. M., Alcañiz, M., Guillén, V., & Rey, B. (2005) · CyberPsychology & Behavior

Virtual Reality Applications and ImpactsAugmented Reality Applications

Cited by 139

Poisoning Web-Scale Training Datasets is Practical

Carlini, N., Jagielski, M., Choquette-Choo, C. A., Paleka, D., Pearce, W., Anderson, H., Terzis, A., Thomas, K., & Tramèr, F. (2024) · 2024 IEEE Symposium on Security and Privacy (SP)

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 138

An Evaluation of Edge TPU Accelerators for Convolutional Neural Networks

Seshadri, K., Akin, B., Laudon, J., Narayanaswami, R., & Yazdanbakhsh, A. (2022) · 2022 IEEE International Symposium on Workload Characterization (IISWC)

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 138

Unpacking student engagement in higher education learning analytics: a systematic review

Bergdahl, N., Bond, M., Sjöberg, J., Dougherty, M., & Oxley, E. (2024) · International Journal of Educational Technology in Higher Education

Online Learning and AnalyticsHigher Education Research Studies

Cited by 138

The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models

Tenney, I., Wexler, J., Bastings, J., Bolukbasi, T., Coenen, A., Gehrmann, S., Jiang, E., Pushkarna, M., Radebaugh, C., Reif, E., et al. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations

Explainable Artificial Intelligence (XAI)Natural Language Processing Techniques

Cited by 138

A new lung cancer detection method based on the chest CT images using Federated Learning and blockchain systems

Heidari, A., Javaheri, D., Toumaj, S., Navimipour, N. J., Rezaei, M., & Unal, M. (2023) · Artificial Intelligence in Medicine

AI in cancer detectionLung Cancer Diagnosis and Treatment

Cited by 138

Investigating Self-Supervised Front Ends for Speech Spoofing Countermeasures

Wang, X., & Yamagishi, J. (2022) · The Speaker and Language Recognition Workshop (Odyssey 2022)

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 138

Compositional Questions Do Not Necessitate Multi-hop Reasoning

Min, S., Wallace, E., Singh, S., Gardner, M., Hajishirzi, H., & Zettlemoyer, L. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Topic ModelingInformation Retrieval and Search Behavior

Cited by 138

On preserving statistical characteristics of accelerometry data using their empirical cumulative distribution

Hammerla, N. Y., Kirkham, R., Andras, P., & Ploetz, T. (2013) · Proceedings of the 2013 International Symposium on Wearable Computers

Context-Aware Activity Recognition SystemsTime Series Analysis and Forecasting

Cited by 138

Rethinking Smart Contract Fuzzing: Fuzzing With Invocation Ordering and Important Branch Revisiting

Liu, Z., Qian, P., Yang, J., Liu, L., Xu, X., He, Q., & Zhang, X. (2023) · IEEE Transactions on Information Forensics and Security

Software Testing and Debugging TechniquesBlockchain Technology Applications and Security

Cited by 138

Empirical evidence about the UML: a systematic literature review

Budgen, D., Burn, A. J., Brereton, O. P., Kitchenham, B. A., & Pretorius, R. (2011) · Software: Practice and Experience

Model-Driven Software Engineering TechniquesSoftware Engineering Techniques and Practices

Cited by 138

Textbooks Are All You Need

Gunasekar, S., Zhang, Y., Aneja, J., Mendes, C. C. T., Del Giorno, A., Gopi, S., Javaheripi, M., Kauffmann, P., de Rosa, G., Saarikivi, O., et al. (2023) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 138

Decorrelation Methods of Texture Feature Extraction

Faugeras, O. D., & Pratt, W. K. (1980) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Image Retrieval and Classification TechniquesRadiomics and Machine Learning in Medical Imaging

Cited by 138

Biobjective Task Scheduling for Distributed Green Data Centers

Yuan, H., Bi, J., Zhou, M., Liu, Q., & Ammari, A. C. (2021) · IEEE Transactions on Automation Science and Engineering

Cloud Computing and Resource ManagementEnergy Efficiency in Computing

Cited by 138

Diversity, Equity, and Inclusion in Artificial Intelligence: An Evaluation of Guidelines

Cachat-Rosset, G., & Klarsfeld, A. (2023) · Applied Artificial Intelligence

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 138

Systematic review and meta-analysis of performance of wearable artificial intelligence in detecting and predicting depression

Abd-Alrazaq, A., AlSaad, R., Shuweihdi, F., Ahmed, A., Aziz, S., & Sheikh, J. (2023) · npj Digital Medicine

Emotion and Mood RecognitionDigital Mental Health Interventions

Cited by 138

Addressing age-related bias in sentiment analysis,

Diaz, M., Johnson, I., Lazar, A., Piper, A. M., & Gergle, D. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

Sentiment Analysis and Opinion MiningEthics and Social Impacts of AI

Cited by 138

Large Language Models are not Fair Evaluators

Wang, P., Li, L., Chen, L., Cai, Z., Zhu, D., Lin, B., Cao, Y., Kong, L., Liu, Q., Liu, T., et al. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Ethics and Social Impacts of AITopic Modeling

Cited by 138

Root cause detection in a service-oriented architecture

Kim, M., Sumbaly, R., & Shah, S. (2013) · ACM SIGMETRICS Performance Evaluation Review

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 138

PIC, a paediatric-specific intensive care database

Zeng, X., Yu, G., Lu, Y., Tan, L., Wu, X., Shi, S., Duan, H., Shu, Q., & Li, H. (2020) · Scientific Data

Machine Learning in HealthcareSepsis Diagnosis and Treatment

Cited by 138

Meaningful human control: actionable properties for AI system development

Cavalcante Siebert, L., Lupetti, M. L., Aizenberg, E., Beckers, N., Zgonnikov, A., Veluwenkamp, H., Abbink, D., Giaccardi, E., Houben, G.-J., Jonker, C. M., et al. (2023) · AI and Ethics

Ethics and Social Impacts of AISafety Systems Engineering in Autonomy

Cited by 138

Beyond-classical computation in quantum simulation

King, A. D., Nocera, A., Rams, M. M., Dziarmaga, J., Wiersema, R., Bernoudy, W., Raymond, J., Kaushal, N., Heinsdorf, N., Harris, R., et al. (2025) · Science

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 138