Check computer science papers: citations, claims and retractions

Reinforced Structured State-Evolution for Vision-Language Navigation

Chen, J., Gao, C., Meng, E., Zhang, Q., & Liu, S. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 45

Modeling asynchronous event sequences with RNNs

Wu, S., Liu, S., Sohn, S., Moon, S., Wi, C.-I., Juhn, Y., & Liu, H. (2018) · Journal of Biomedical Informatics

Machine Learning in HealthcareTime Series Analysis and Forecasting

Cited by 45

The return of the social: Algorithmic identity in an age of symbolic demise

Kotliar, D. M. (2020) · New Media & Society

Ethics and Social Impacts of AICultural Identity and Representation

Cited by 45

Forecasting occurrences of activities

Minor, B., & Cook, D. J. (2017) · Pervasive and Mobile Computing

Context-Aware Activity Recognition SystemsTime Series Analysis and Forecasting

Cited by 45

Demographic and Psychosocial Characteristics of Mobile Phone Ownership and Usage among Youth Living in the Slums of Kampala, Uganda

Swahn, M., Braunstein, S., & Kasirye, R. (2014) · Western Journal of Emergency Medicine

ICT in Developing CommunitiesMobile Health and mHealth Applications

Cited by 45

Comparative analysis of multiple YOLO-based target detectors and trackers for ADAS in edge devices

Azevedo, P., & Santos, V. (2024) · Robotics and Autonomous Systems

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 45

CHEAT: A Large-scale Dataset for Detecting ChatGPT-writtEn AbsTracts

Yu, P., Chen, J., Feng, X., & Xia, Z. (2023) · arXiv

Authorship Attribution and ProfilingAcademic integrity and plagiarism

Cited by 45

Data-sharing recommendations in biomedical journals and randomised controlled trials: an audit of journals following the ICMJE recommendations

Siebert, M., Gaba, J. F., Caquelin, L., Gouraud, H., Dupuy, A., Moher, D., & Naudet, F. (2020) · BMJ Open

Research Data Management PracticesAcademic Publishing and Open Access

Cited by 45

Efficient Shapley Explanation for Features Importance Estimation Under Uncertainty

Li, X., Zhou, Y., Dvornek, N. C., Gu, Y., Ventola, P., & Duncan, J. S. (2020) · Lecture Notes in Computer Science

Explainable Artificial Intelligence (XAI)Radiomics and Machine Learning in Medical Imaging

Cited by 45

Suppression of transients in variable recursive digital filters with a novel and efficient cancellation method

Valimaki, V., & Laakso, T. I. (1998) · IEEE Transactions on Signal Processing

Digital Filter Design and ImplementationAdvanced Adaptive Filtering Techniques

Cited by 45

TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models

Jang, J., Ye, S., Lee, C., Yang, S., Shin, J., Han, J., Kim, G., & Seo, M. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 45

Summarizing static and dynamic big graphs

Khan, A., Bhowmick, S. S., & Bonchi, F. (2017) · Proceedings of the VLDB Endowment

Graph Theory and AlgorithmsComplex Network Analysis Techniques

Cited by 45

Medical image segmentation automatic quality control: A multi-dimensional approach

Fournel, J., Bartoli, A., Bendahan, D., Guye, M., Bernard, M., Rauseo, E., Khanji, M. Y., Petersen, S. E., Jacquier, A., & Ghattas, B. (2021) · Medical Image Analysis

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 45

Artificial intelligence-based screening for mycobacteria in whole-slide images of tissue samples

Pantanowitz, L., Wu, U., Seigh, L., LoPresti, E., Yeh, F.-C., Salgia, P., Michelow, P., Hazelhurst, S., Chen, W.-Y., Hartman, D., et al. (2021) · American Journal of Clinical Pathology

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 45

Exploiting Diversity in Android TLS Implementations for Mobile App Traffic Classification

Sengupta, S., Ganguly, N., De, P., & Chakraborty, S. (2019) · The World Wide Web Conference

Internet Traffic Analysis and Secure E-votingCryptographic Implementations and Security

Cited by 45

A comparison of Freesurfer and multi-atlas MUSE for brain anatomy segmentation: Findings about size and age bias, and inter-scanner stability in multi-site aging studies

Srinivasan, D., Erus, G., Doshi, J., Wolk, D. A., Shou, H., Habes, M., & Davatzikos, C. (2020) · NeuroImage

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 45

Machine Learning based Image Processing Techniques for Satellite Image Analysis -A Survey

Asokan, A., & Anitha, J. (2019) · 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon)

Remote-Sensing Image ClassificationSatellite Image Processing and Photogrammetry

Cited by 45

Moral Foundations of Large Language Models

Abdulhai, M., Serapio-García, G., Crepy, C., Valter, D., Canny, J., & Jaques, N. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Ethics and Social Impacts of AIPsychology of Moral and Emotional Judgment

Cited by 45

ViNT: A Foundation Model for Visual Navigation

Shah, D., Sridhar, A., Dashora, N., Stachowicz, K., Black, K., Hirose, N., & Levine, S. (2023) · arXiv

Reinforcement Learning in RoboticsRobotics and Sensor-Based Localization

Cited by 45

The Art of Abstention: Selective Prediction and Error Regularization for Natural Language Processing

Xin, J., Tang, R., Yu, Y., & Lin, J. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 45

ScienceWorld: Is your Agent Smarter than a 5th Grader?

Wang, R., Jansen, P., Côté, M.-A., & Ammanabrolu, P. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Multimodal Machine Learning ApplicationsScience Education and Pedagogy

Cited by 45

Data Storytelling in Data Visualisation: Does it Enhance the Efficiency and Effectiveness of Information Retrieval and Insights Comprehension?

Shao, H., Martinez-Maldonado, R., Echeverria, V., Yan, L., & Gasevic, D. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Data Visualization and AnalyticsVisual and Cognitive Learning Processes

Cited by 45

Feedback, Affordances, and Accelerators for Training Sports in Virtual Environments

Ruffaldi, E., Bardy, B., Gopher, D., & Bergamasco, M. (2011) · Presence: Teleoperators and Virtual Environments

Virtual Reality Applications and ImpactsSimulation and Modeling Applications

Cited by 45

ATPFL: Automatic Trajectory Prediction Model Design under Federated Learning Framework

Wang, C., Chen, X., Wang, J., & Wang, H. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Privacy-Preserving Technologies in DataAdvanced Neural Network Applications

Cited by 45