Check computer science papers: citations, claims and retractions

Optimization and applications of echo state networks with leaky- integrator neurons

Jaeger, H., Lukoševičius, M., Popovici, D., & Siewert, U. (2007) · Neural Networks

Neural Networks and Reservoir ComputingNeural Networks and Applications

Cited by 948

SLAM++: Simultaneous Localisation and Mapping at the Level of Objects

Salas-Moreno, R. F., Newcombe, R. A., Strasdat, H., Kelly, P. H. J., & Davison, A. J. (2013) · 2013 IEEE Conference on Computer Vision and Pattern Recognition

Robotics and Sensor-Based Localization3D Surveying and Cultural Heritage

Cited by 945

The social power of algorithms

Beer, D. (2017) · Information, Communication & Society

Ethics and Social Impacts of AICybernetics and Technology in Society

Cited by 945

Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference

McCoy, R. T., Pavlick, E., & Linzen, T. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 944

The Million Song Dataset

Bertin-Mahieux, T., Ellis, D. P. W., Whitman, B., & Lamere, P. (2011) · Columbia University

Music and Audio ProcessingMusic Technology and Sound Studies

Cited by 944

Emotion recognition system using short-term monitoring of physiological signals

Kim, K. H., Bang, S. W., & Kim, S. R. (2004) · Medical & Biological Engineering & Computing

Emotion and Mood RecognitionHeart Rate Variability and Autonomic Control

Cited by 944

Inherent trade-offs in the fair determination of risk scores

Kleinberg, J., Mullainathan, S., & Raghavan, M. (2017) · Schloss Dagstuhl – Leibniz-Zentrum für Informatik

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 943

Drain: an online log parsing approach with fixed depth tree

He, P., Zhu, J., Zheng, Z., & Lyu, M. R. (2017) · 2017 IEEE International Conference on Web Services (ICWS)

Software System Performance and ReliabilityAdvanced Database Systems and Queries

Cited by 943

User involvement: A review of the benefits and challenges

Kujala, S. (2003) · Behaviour & Information Technology

Usability and User Interface DesignSoftware Engineering Techniques and Practices

Cited by 943

Response time in man-computer conversational transactions

Miller, R. B. (1968) · Proceedings of the December 9-11, 1968, fall joint computer conference, part I on - AFIPS '68 (Fall, part I)

Usability and User Interface DesignHuman-Automation Interaction and Safety

Cited by 942

Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey

Zhao, W., Queralta, J. P., & Westerlund, T. (2020) · 2020 IEEE Symposium Series on Computational Intelligence (SSCI)

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 941

Inherent Trade-Offs in the Fair Determination of Risk Scores

Kleinberg, J., Mullainathan, S., & Raghavan, M. (2016) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 941

Feature denoising for improving adversarial robustness

Xie, C., Wu, Y., Maaten, L. V. D., Yuille, A. L., & He, K. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 940

Error bars in experimental biology

Cumming, G., Fidler, F., & Vaux, D. L. (2007) · The Journal of Cell Biology

Data Visualization and AnalyticsAcademic Writing and Publishing

Cited by 940

Context-Dependent Sentiment Analysis in User-Generated Videos

Poria, S., Cambria, E., Hazarika, D., Majumder, N., Zadeh, A., & Morency, L.-P. (2017) · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Sentiment Analysis and Opinion MiningEmotion and Mood Recognition

Cited by 939

Sustainable AI: AI for sustainability and the sustainability of AI

van Wynsberghe, A. (2021) · AI and Ethics

Ethics and Social Impacts of AIInnovation, Sustainability, Human-Machine Systems

Cited by 939

The INTERSPEECH 2009 emotion challenge

Schuller, B., Steidl, S., & Batliner, A. (2009) · Interspeech 2009

Emotion and Mood RecognitionSpeech Recognition and Synthesis

Cited by 938

How to Construct Pseudorandom Permutations from Pseudorandom Functions

Luby, M., & Rackoff, C. (1988) · SIAM Journal on Computing

Cryptography and Data SecurityCryptographic Implementations and Security

Cited by 938

Machine Learning Methods for Histopathological Image Analysis

Komura, D., & Ishikawa, S. (2018) · Computational and Structural Biotechnology Journal

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 937

Opportunities and challenges in developing risk prediction models with electronic health records data: A systematic review

Goldstein, B. A., Navar, A. M., Pencina, M. J., & Ioannidis, J. P. A. (2017) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 936

HD-CNN: Hierarchical Deep Convolutional Neural Networks for Large Scale Visual Recognition

Yan, Z., Zhang, H., Piramuthu, R., Jagadeesh, V., DeCoste, D., Di, W., & Yu, Y. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 936

LeViT: a Vision Transformer in ConvNet’s Clothing for Faster Inference

Graham, B., El-Nouby, A., Touvron, H., Stock, P., Joulin, A., Jegou, H., & Douze, M. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 935

Quantum Random Access Memory

Giovannetti, V., Lloyd, S., & Maccone, L. (2008) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 935

Siamese Recurrent Architectures for Learning Sentence Similarity

Mueller, J., & Thyagarajan, A. (2016) · Proceedings of the AAAI Conference on Artificial Intelligence

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 935