Check computer science papers: citations, claims and retractions

NeuroSkinning: automatic skin binding for production characters with deep graph networks

Liu, L., Zheng, Y., Tang, D., Yuan, Y., Fan, C., & Zhou, K. (2019) · ACM Transactions on Graphics

3D Shape Modeling and AnalysisHuman Motion and Animation

Cited by 67

A basic model for proactive event-driven computing

Engel, Y., Etzion, O., & Feldman, Z. (2012) · Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems

Advanced Database Systems and QueriesAdvanced Software Engineering Methodologies

Cited by 67

SayNav: Grounding Large Language Models for Dynamic Planning to Navigation in New Environments

Rajvanshi, A., Sikka, K., Lin, X., Lee, B., Chiu, H.-P., & Velasquez, A. (2023) · arXiv

AI-based Problem Solving and PlanningReinforcement Learning in Robotics

Cited by 67

Prediction of complications of type 2 Diabetes: A Machine learning approach

Nicolucci, A., Romeo, L., Bernardini, M., Vespasiani, M., Rossi, M. C., Petrelli, M., Ceriello, A., Di Bartolo, P., Frontoni, E., & Vespasiani, G. (2022) · Diabetes Research and Clinical Practice

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 67

Optical flow estimation on coarse-to-fine region-trees using discrete optimization

Lei, C., & Yang, Y.-H. (2009) · 2009 IEEE 12th International Conference on Computer Vision

Advanced Vision and ImagingVideo Surveillance and Tracking Methods

Cited by 67

Machine learning for cryosection pathology predicts the 2021 WHO classification of glioma

Nasrallah, M. P., Zhao, J., Tsai, C. C., Meredith, D., Marostica, E., Ligon, K. L., Golden, J. A., & Yu, K.-H. (2023) · Med

AI in cancer detectionGlioma Diagnosis and Treatment

Cited by 67

Measuring Effectiveness of Learning Chatbot Systems on Student's Learning Outcome and Memory Retention

Abbasi, S., & Kazi, H. (2014) · Asian Journal of Applied Science and Engineering

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 67

Deep Feature Learning with Discrimination Mechanism for Brain Tumor Segmentation and Diagnosis

Zhao, L., & Jia, K. (2015) · 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP)

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 67

Learning Multi-View Interactional Skeleton Graph for Action Recognition

Wang, M., Ni, B., & Yang, X. (2023) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 67

Grad-CAM Enabled Breast Cancer Classification with a 3D Inception-ResNet V2: Empowering Radiologists with Explainable Insights

Talaat, F. M., Gamel, S. A., El-Balka, R. M., Shehata, M., & ZainEldin, H. (2024) · Cancers

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 67

ChatGPT in finance: Applications, challenges, and solutions

Khan, M. S., & Umer, H. (2024) · Heliyon

Ethics and Social Impacts of AIFinTech, Crowdfunding, Digital Finance

Cited by 67

“There Is Not Enough Information”: On the Effects of Explanations on Perceptions of Informational Fairness and Trustworthiness in Automated Decision-Making

Schoeffer, J., Kuehl, N., & Machowski, Y. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 67

HyperPower: Power- and memory-constrained hyper-parameter optimization for neural networks

Stamoulis, D., Cai, E., Juan, D.-C., & Marculescu, D. (2018) · 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE)

Machine Learning and Data ClassificationParallel Computing and Optimization Techniques

Cited by 67

MobileDA: Toward Edge-Domain Adaptation

Yang, J., Zou, H., Cao, S., Chen, Z., & Xie, L. (2020) · IEEE Internet of Things Journal

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 67

CrossHAR: Generalizing Cross-dataset Human Activity Recognition via Hierarchical Self-Supervised Pretraining

Hong, Z., Li, Z., Zhong, S., Lyu, W., Wang, H., Ding, Y., He, T., & Zhang, D. (2024) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsDomain Adaptation and Few-Shot Learning

Cited by 67

Consensus Skeleton for Non‐rigid Space‐time Registration

Zheng, Q., Sharf, A., Tagliasacchi, A., Chen, B., Zhang, H., Sheffer, A., & Cohen‐Or, D. (2010) · Computer Graphics Forum

3D Shape Modeling and AnalysisMedical Image Segmentation Techniques

Cited by 67

AI, Explainability and Public Reason: The Argument from the Limitations of the Human Mind

Maclure, J. (2021) · Minds and Machines

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 67

Adaptive Machine Unlearning

Gupta, V., Jung, C., Neel, S., Roth, A., Sharifi-Malvajerdi, S., & Waites, C. (2021) · arXiv

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 67

Lightspeech: Lightweight and Fast Text to Speech with Neural Architecture Search

Luo, R., Tan, X., Wang, R., Qin, T., Li, J., Zhao, S., Chen, E., & Liu, T.-Y. (2021) · ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 67

Segment Anything in Medical Images

Ma, J., He, Y., Li, F., Han, L., You, C., & Wang, B. (2023) · arXiv

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 67

Joint Audio and Speech Understanding

Gong, Y., Liu, A. H., Luo, H., Karlinsky, L., & Glass, J. (2023) · arXiv

Speech Recognition and SynthesisMusic and Audio Processing

Cited by 67

DeepVO: A Deep Learning approach for Monocular Visual Odometry

Mohanty, V., Agrawal, S., Datta, S., Ghosh, A., Sharma, V. D., & Chakravarty, D. (2016) · arXiv

Robotics and Sensor-Based LocalizationAdvanced Vision and Imaging

Cited by 67

Towards Good Practices for Missing Modality Robust Action Recognition

Woo, S., Lee, S., Park, Y., Nugroho, M. A., & Kim, C. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence

Human Pose and Action RecognitionMultimodal Machine Learning Applications

Cited by 67

SceneSkim: Searching and Browsing Movies Using Synchronized Captions, Scripts and Plot Summaries

Pavel, A., Goldman, D. B., Hartmann, B., & Agrawala, M. (2015) · Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology

Video Analysis and SummarizationInformation Retrieval and Search Behavior

Cited by 67