Check computer science papers: citations, claims and retractions

Latent error prediction and fault localization for microservice applications by learning from system trace logs

Zhou, X., Peng, X., Xie, T., Sun, J., Ji, C., Liu, D., Xiang, Q., & He, C. (2019) · Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Software System Performance and ReliabilitySoftware Testing and Debugging Techniques

Cited by 277

The evolved transformer

So, D. R., Liang, C., & Le, Q. V. (2019) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 277

Will You Accept an Imperfect AI?: Exploring Designs for Adjusting End-user Expectations of AI Systems

Kocielnik, R., Amershi, S., & Bennett, P. N. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

Usability and User Interface DesignTechnology Adoption and User Behaviour

Cited by 277

An Analysis of Encoder Representations in Transformer-Based Machine Translation

Raganato, A., & Tiedemann, J. (2018) · Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP

Natural Language Processing TechniquesTopic Modeling

Cited by 277

Who Audits the Auditors? Recommendations from a field scan of the algorithmic auditing ecosystem

Costanza-Chock, S., Raji, I. D., & Buolamwini, J. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 277

[Paper] Visual Instance Retrieval with Deep Convolutional Networks

Razavian, A. S., Sullivan, J., Carlsson, S., & Maki, A. (2016) · ITE Transactions on Media Technology and Applications

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 276

Automated grading of breast cancer histopathology using spectral clusteringwith textural and architectural image features

Doyle, S., Agner, S., Madabhushi, A., Feldman, M., & Tomaszewski, J. (2008) · 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 276

Decision Forests for Tissue-Specific Segmentation of High-Grade Gliomas in Multi-channel MR

Zikic, D., Glocker, B., Konukoglu, E., Criminisi, A., Demiralp, C., Shotton, J., Thomas, O. M., Das, T., Jena, R., & Price, S. J. (2012) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 276

ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection

Hartvigsen, T., Gabriel, S., Palangi, H., Sap, M., Ray, D., & Kamar, E. (2022) · arXiv

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 276

Designing awe in virtual reality: an experimental study

Chirico, A., Ferrise, F., Cordella, L., & Gaggioli, A. (2018) · Frontiers in Psychology

Virtual Reality Applications and ImpactsAesthetic Perception and Analysis

Cited by 276

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Jin, M., Wang, S., Ma, L., Chu, Z., Zhang, J. Y., Shi, X., Chen, P.-Y., Liang, Y., Li, Y.-F., Pan, S., et al. (2023) · arXiv

Time Series Analysis and ForecastingForecasting Techniques and Applications

Cited by 276

Quantum generalisation of feedforward neural networks

Wan, K. H., Dahlsten, O., Kristjánsson, H., Gardner, R., & Kim, M. S. (2017) · npj Quantum Information

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 276

Samza: Stateful scalable stream processing at LinkedIn

Noghabi, S. A., Paramasivam, K., Pan, Y., Ramesh, N., Bringhurst, J., Gupta, I., & Campbell, R. H. (2017) · Proceedings of the VLDB Endowment

Advanced Database Systems and QueriesCloud Computing and Resource Management

Cited by 276

Spatiotemporal Co-Attention Recurrent Neural Networks for Human-Skeleton Motion Prediction

Shu, X., Zhang, L., Qi, G.-J., Liu, W., & Tang, J. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Human Motion and AnimationHuman Pose and Action Recognition

Cited by 276

Doubly-Efficient zkSNARKs Without Trusted Setup

Wahby, R. S., Tzialla, I., Shelat, A., Thaler, J., & Walfish, M. (2018) · 2018 IEEE Symposium on Security and Privacy (SP)

Cryptography and Data SecurityCloud Data Security Solutions

Cited by 276

Bird species recognition using support vector machines

Fagerlund, S. (2007) · EURASIP Journal on Advances in Signal Processing

Music and Audio ProcessingAnimal Vocal Communication and Behavior

Cited by 276

A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects

Palomares, I., Martínez-Cámara, E., Montes, R., García-Moral, P., Chiachio, M., Chiachio, J., Alonso, S., Melero, F. J., Molina, D., Fernández, B., et al. (2021) · Applied Intelligence

Artificial Intelligence ApplicationsEthics and Social Impacts of AI

Cited by 276

Semantic Image Synthesis via Adversarial Learning

Dong, H., Yu, S., Wu, C., & Guo, Y. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 276

From development to deployment: dataset shift, causality, and shift-stable models in health AI

Subbaswamy, A., & Saria, S. (2019) · Biostatistics

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 276

Curvature and Creases: A Primer on Paper

Huffman (1976) · IEEE Transactions on Computers

Computer Graphics and Visualization Techniques3D Shape Modeling and Analysis

Cited by 276

LIMA: Less Is More for Alignment

Zhou, C., Liu, P., Xu, P., Iyer, S., Sun, J., Mao, Y., Ma, X., Efrat, A., Yu, P., Yu, L., et al. (2023) · Advances in Neural Information Processing Systems 36

Domain Adaptation and Few-Shot LearningEducational Assessment and Pedagogy

Cited by 275

Automatic multiorgan segmentation in thorax CT images using U‐net‐ GAN

Dong, X., Lei, Y., Wang, T., Thomas, M., Tang, L., Curran, W. J., Liu, T., & Yang, X. (2019) · Medical Physics

Medical Image Segmentation TechniquesAdvanced Radiotherapy Techniques

Cited by 275

Chatbots, Humbots, and the Quest for Artificial General Intelligence

Grudin, J., & Jacques, R. (2019) · Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

Speech and dialogue systemsAI in Service Interactions

Cited by 275

The Depth/Breadth Tradeoff in Hierarchical Computer Menus

Miller, D. P. (1981) · Proceedings of the Human Factors Society Annual Meeting

Usability and User Interface DesignHuman-Automation Interaction and Safety

Cited by 275