Check computer science papers: citations, claims and retractions

Supporting the understanding and comparison of low-code development platforms

Sahay, A., Indamutsa, A., Di Ruscio, D., & Pierantonio, A. (2020) · 2020 46th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)

Spreadsheets and End-User ComputingSoftware Engineering Techniques and Practices

Cited by 270

MONet: Unsupervised Scene Decomposition and Representation

Burgess, C. P., Matthey, L., Watters, N., Kabra, R., Higgins, I., Botvinick, M., & Lerchner, A. (2019) · arXiv

Advanced Neural Network ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 270

UMUX-LITE: when there's no time for the SUS

Lewis, J. R., Utesch, B. S., & Maher, D. E. (2013) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 270

A Short Note about Kinetics-600

Carreira, J., Noland, E., Banki-Horvath, A., Hillier, C., & Zisserman, A. (2018) · arXiv

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 270

Online Harassment and Content Moderation: The Case of Blocklists

Jhaver, S., Ghoshal, S., Bruckman, A., & Gilbert, E. (2018) · ACM Transactions on Computer-Human Interaction

Hate Speech and Cyberbullying DetectionStalking, Cyberstalking, and Harassment

Cited by 270

Text-based Editing of Talking-head Video

Fried, O., Tewari, A., Zollhöfer, M., Finkelstein, A., Shechtman, E., Goldman, D. B., Genova, K., Jin, Z., Theobalt, C., & Agrawala, M. (2019) · ACM Transactions on Graphics

Generative Adversarial Networks and Image SynthesisSpeech and Audio Processing

Cited by 270

Generating Natural Questions About an Image

Mostafazadeh, N., Misra, I., Devlin, J., Mitchell, M., He, X., & Vanderwende, L. (2016) · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 270

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Sun, W., Yan, L., Ma, X., Wang, S., Ren, P., Chen, Z., Yin, D., & Ren, Z. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Information Retrieval and Search BehaviorTopic Modeling

Cited by 270

A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications

Kang, D., Ammar, W., Dalvi, B., Zuylen, M., Kohlmeier, S., Hovy, E., & Schwartz, R. (2018) · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)

Sentiment Analysis and Opinion MiningNatural Language Processing Techniques

Cited by 270

Body ownership and embodiment: vestibular and multisensory mechanisms

Lopez, C., Halje, P., & Blanke, O. (2008) · Neurophysiologie Clinique/Clinical Neurophysiology

Virtual Reality Applications and ImpactsSpatial Neglect and Hemispheric Dysfunction

Cited by 270

Policy Distillation

Rusu, A. A., Colmenarejo, S. G., Gulcehre, C., Desjardins, G., Kirkpatrick, J., Pascanu, R., Mnih, V., Kavukcuoglu, K., & Hadsell, R. (2015) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 270

Dynamic Analysis of Digital Chaotic Maps via State-Mapping Networks

Li, C., Feng, B., Li, S., Kurths, J., & Chen, G. (2019) · IEEE Transactions on Circuits and Systems I: Regular Papers

Chaos-based Image/Signal EncryptionMathematical Dynamics and Fractals

Cited by 270

FuseSeg: Semantic segmentation of urban scenes based on RGB and thermal data fusion

Sun, Y., Zuo, W., Yun, P., Wang, H., & Liu, M. (2021) · IEEE Transactions on Automation Science and Engineering

Advanced Neural Network ApplicationsAdvanced Image Fusion Techniques

Cited by 270

Mining opinions from instructor evaluation reviews: a deep learning approach

Onan, A. (2020) · Computer Applications in Engineering Education

Sentiment Analysis and Opinion MiningEvaluation of Teaching Practices

Cited by 270

Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy

Mishra, A., & Marr, D. (2017) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 270

Benchmarking saliency methods for chest X-ray interpretation

Saporta, A., Gui, X., Agrawal, A., Pareek, A., Truong, S. Q. H., Nguyen, C. D. T., Ngo, V.-D., Seekins, J., Blankenberg, F. G., Ng, A. Y., et al. (2022) · Nature Machine Intelligence

Explainable Artificial Intelligence (XAI)COVID-19 diagnosis using AI

Cited by 270

Neural Prototype Trees for Interpretable Fine-grained Image Recognition

Nauta, M., van Bree, R., & Seifert, C. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 269

Mitigating bias in machine learning for medicine

Vokinger, K. N., Feuerriegel, S., & Kesselheim, A. S. (2021) · Communications Medicine

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 269

An Approach for Determining the Number of Clusters in a Model-Based Cluster Analysis

Akogul, S., & Erisoglu, M. (2017) · Entropy

Advanced Clustering Algorithms ResearchBayesian Methods and Mixture Models

Cited by 269

SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities

Chen, B., Xu, Z., Kirmani, S., Ichter, B., Driess, D., Florence, P., Sadigh, D., Guibas, L., & Xia, F. (2024) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 269

Deep Learning-Based Intrusion Detection for IoT Networks

Ge, M., Fu, X., Syed, N., Baig, Z., Teo, G., & Robles-Kelly, A. (2019) · 2019 IEEE 24th Pacific Rim International Symposium on Dependable Computing (PRDC)

Network Security and Intrusion DetectionInternet Traffic Analysis and Secure E-voting

Cited by 269

A Systematic Review of Homomorphic Encryption and Its Contributions in Healthcare Industry

Munjal, K., & Bhatia, R. (2023) · Complex & Intelligent Systems

Cryptography and Data SecurityCloud Data Security Solutions

Cited by 269

Deep learning for human activity recognition: A resource efficient implementation on low-power devices

Ravi, D., Wong, C., Lo, B., & Yang, G.-Z. (2016) · 2016 IEEE 13th International Conference on Wearable and Implantable Body Sensor Networks (BSN)

Context-Aware Activity Recognition SystemsGait Recognition and Analysis

Cited by 269

Improving API usability

Myers, B. A., & Stylos, J. (2016) · Communications of the ACM

Usability and User Interface DesignSoftware Engineering Research

Cited by 269