Check computer science papers: citations, claims and retractions

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

Biderman, S., Schoelkopf, H., Anthony, Q., Bradley, H., O'Brien, K., Hallahan, E., Khan, M. A., Purohit, S., Prashanth, U. S., Raff, E., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 160

Is Stack Overflow Obsolete? An Empirical Study of the Characteristics of ChatGPT Answers to Stack Overflow Questions

Kabir, S., Udo-Imeh, D. N., Kou, B., & Zhang, T. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Expert finding and Q&A systemsSoftware Engineering Research

Cited by 160

10 years of software architecture knowledge management: Practice and future

Capilla, R., Jansen, A., Tang, A., Avgeriou, P., & Babar, M. A. (2016) · Journal of Systems and Software

Advanced Software Engineering MethodologiesSoftware Engineering Techniques and Practices

Cited by 160

Photonic implementation of boson sampling: a review

Brod, D. J., Galvão, E. F., Crespi, A., Osellame, R., Spagnolo, N., & Sciarrino, F. (2019) · Advanced Photonics

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 159

Estimating the gradient and higher-order derivatives on quantum hardware

Mari, A., Bromley, T. R., & Killoran, N. (2021) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 159

Mutual Attention Inception Network for Remote Sensing Visual Question Answering

Zheng, X., Wang, B., Du, X., & Lu, X. (2022) · IEEE Transactions on Geoscience and Remote Sensing

Multimodal Machine Learning ApplicationsRemote-Sensing Image Classification

Cited by 159

Exploring the potential of conditional adversarial networks for optical and SAR image matching

Merkle, N., Auer, S., Muller, R., & Reinartz, P. (2018) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Satellite Image Processing and PhotogrammetryAdvanced Image and Video Retrieval Techniques

Cited by 159

Artificial Intelligence Index Report 2024

Maslej, N., Fattorini, L., Perrault, R., Parli, V., Reuel, A., Brynjolfsson, E., Etchemendy, J., Ligett, K., Lyons, T., Manyika, J., et al. (2024) · arXiv

Ethics and Social Impacts of AIArtificial Intelligence Applications

Cited by 159

A Serial Image Copy-Move Forgery Localization Scheme With Source/Target Distinguishment

Chen, B., Tan, W., Coatrieux, G., Zheng, Y., & Shi, Y.-Q. (2021) · IEEE Transactions on Multimedia

Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques

Cited by 159

Conditioning and Intervening

Meek, C., & Glymour, C. (1994) · The British Journal for the Philosophy of Science

Bayesian Modeling and Causal InferenceLogic, Reasoning, and Knowledge

Cited by 159

Stochastic latent actor–critic: Deep reinforcement learning with a latent variable model

Lee, A. X., Nagabandi, A., Abbeel, P., & Levine, S. (2019) · arXiv

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 159

Privacy-Preserving Asynchronous Federated Learning Mechanism for Edge Network Computing

Lu, X., Liao, Y., Lio, P., & Hui, P. (2020) · IEEE Access

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 159

Analysis of physiological signals for recognition of boredom, pain, and surprise emotions

Jang, E.-H., Park, B.-J., Park, M.-S., Kim, S.-H., & Sohn, J.-H. (2015) · Journal of Physiological Anthropology

Emotion and Mood RecognitionHeart Rate Variability and Autonomic Control

Cited by 159

Solving the Explainable AI Conundrum by Bridging Clinicians’ Needs and Developers’ Goals

Bienefeld, N., Boss, J. M., Lüthy, R., Brodbeck, D., Azzati, J., Blaser, M., Willms, J., & Keller, E. (2023) · npj Digital Medicine

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

Cited by 159

Deep Learning on Mobile and Embedded Devices: State-of-the-art, Challenges, and Future Directions

Chen, Y., Zheng, B., Zhang, Z., Wang, Q., Shen, C., & Zhang, Q. (2021) · ACM Computing Surveys

Advanced Neural Network ApplicationsIoT and Edge/Fog Computing

Cited by 159

An adversarial training framework for mitigating algorithmic biases in clinical machine learning

Yang, J., Soltan, A. A. S., Eyre, D. W., Yang, Y., & Clifton, D. A. (2023) · npj Digital Medicine

Ethics and Social Impacts of AIMachine Learning in Healthcare

Cited by 159

Analysis of the 802.11i 4-way handshake

He, C., & Mitchell, J. C. (2004) · Proceedings of the 3rd ACM workshop on Wireless security

Advanced Authentication Protocols SecurityWireless Networks and Protocols

Cited by 159

Benefitting InfoVis with Visual Difficulties

Hullman, J., Adar, E., & Shah, P. (2011) · IEEE Transactions on Visualization and Computer Graphics

Data Visualization and AnalyticsVisual and Cognitive Learning Processes

Cited by 159

Reducing disparate exposure in ranking: A learning to rank approach

Zehlike, M., & Castillo, C. (2020) · Proceedings of The Web Conference 2020

Ethics and Social Impacts of AIInformation Retrieval and Search Behavior

Cited by 159

Practical Root Cause Localization for Microservice Systems via Trace Analysis

Li, Z., Chen, J., Jiao, R., Zhao, N., Wang, Z., Zhang, S., Wu, Y., Jiang, L., Yan, L., Wang, Z., et al. (2021) · 2021 IEEE/ACM 29th International Symposium on Quality of Service (IWQOS)

Software System Performance and ReliabilitySoftware Testing and Debugging Techniques

Cited by 159

Computer display menus

SNOWBERRY, K., PARKINSON, S. R., & SISSON, N. (1983) · Ergonomics

Usability and User Interface DesignInformation Retrieval and Search Behavior

Cited by 159

Semi-blind ICA of fMRI: a method for utilizing hypothesis-derived time courses in a spatial ICA analysis

Calhoun, V. D., Adali, T., Stevens, M. C., Kiehl, K. A., & Pekar, J. J. (2005) · NeuroImage

Blind Source Separation TechniquesFunctional Brain Connectivity Studies

Cited by 159

Boomerang: On-Demand Cooperative Deep Neural Network Inference for Edge Intelligence on the Industrial Internet of Things

Zeng, L., Li, E., Zhou, Z., & Chen, X. (2019) · IEEE Network

IoT and Edge/Fog ComputingAdvanced Neural Network Applications

Cited by 159

M3: Multimodal Memory Modelling for Video Captioning

Wang, J., Wang, W., Huang, Y., Wang, L., & Tan, T. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Multimodal Machine Learning ApplicationsVideo Analysis and Summarization

Cited by 159