Check computer science papers: citations, claims and retractions

Graph of Thoughts: Solving Elaborate Problems with Large Language Models

Besta, M., Blach, N., Kubicek, A., Gerstenberger, R., Podstawski, M., Gianinazzi, L., Gajda, J., Lehmann, T., Niewiadomski, H., Nyczyk, P., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 556

Features for Multi-target Multi-camera Tracking and Re-identification

Ristani, E., & Tomasi, C. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Video Surveillance and Tracking MethodsFace recognition and analysis

Cited by 556

Video-based emotion recognition using CNN-RNN and C3D hybrid networks

Fan, Y., Lu, X., Li, D., & Liu, Y. (2016) · Proceedings of the 18th ACM International Conference on Multimodal Interaction

Emotion and Mood RecognitionHuman Pose and Action Recognition

Cited by 556

Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)

Geng, S., Liu, S., Fu, Z., Ge, Y., & Zhang, Y. (2022) · Proceedings of the 16th ACM Conference on Recommender Systems

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 556

Code completion with statistical language models

Raychev, V., Vechev, M., & Yahav, E. (2014) · Proceedings of the 35th ACM SIGPLAN Conference on Programming Language Design and Implementation

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 555

USC-HAD: a daily activity dataset for ubiquitous activity recognition using wearable sensors

Zhang, M., & Sawchuk, A. A. (2012) · Proceedings of the 2012 ACM Conference on Ubiquitous Computing

Context-Aware Activity Recognition SystemsPhysical Activity and Health

Cited by 554

T-CNN: Tubelets With Convolutional Neural Networks for Object Detection From Videos

Kang, K., Li, H., Yan, J., Zeng, X., Yang, B., Xiao, T., Zhang, C., Wang, Z., Wang, R., Wang, X., et al. (2018) · IEEE Transactions on Circuits and Systems for Video Technology

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 554

Evaluating deep learning architectures for Speech Emotion Recognition

Fayek, H. M., Lech, M., & Cavedon, L. (2017) · Neural Networks

Emotion and Mood RecognitionSpeech Recognition and Synthesis

Cited by 554

FOTS: Fast Oriented Text Spotting with a Unified Network

Liu, X., Liang, D., Yan, S., Chen, D., Qiao, Y., & Yan, J. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Handwritten Text Recognition TechniquesVehicle License Plate Recognition

Cited by 554

Mvx-net: Multimodal voxelnet for 3d object detection

Sindagi, V. A., Zhou, Y., & Tuzel, O. (2019) · 2019 International Conference on Robotics and Automation (ICRA)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 554

AI Choreographer: Music Conditioned 3D Dance Generation with AIST++

Li, R., Yang, S., Ross, D. A., & Kanazawa, A. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Human Motion and AnimationGenerative Adversarial Networks and Image Synthesis

Cited by 553

The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment

Haendel, M. A., Chute, C. G., Bennett, T. D., Eichmann, D. A., Guinney, J., Kibbe, W. A., Payne, P. R. O., Pfaff, E. R., Robinson, P. N., Saltz, J. H., et al. (2021) · Journal of the American Medical Informatics Association

Research Data Management PracticesElectronic Health Records Systems

Cited by 553

Explainability Methods for Graph Convolutional Neural Networks

Pope, P. E., Kolouri, S., Rostami, M., Martin, C. E., & Hoffmann, H. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Explainable Artificial Intelligence (XAI)Advanced Graph Neural Networks

Cited by 553

Understanding adversarial attacks on deep learning based medical image analysis systems

Ma, X., Niu, Y., Gu, L., Wang, Y., Zhao, Y., Bailey, J., & Lu, F. (2021) · Pattern Recognition

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 553

Explainable Artificial Intelligence (XAI) techniques for energy and power systems: Review, challenges and opportunities

Machlev, R., Heistrene, L., Perl, M., Levy, K. Y., Belikov, J., Mannor, S., & Levron, Y. (2022) · Energy and AI

Explainable Artificial Intelligence (XAI)Power System Optimization and Stability

Cited by 552

Why and why not explanations improve the intelligibility of context-aware intelligent systems

Lim, B. Y., Dey, A. K., & Avrahami, D. (2009) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Explainable Artificial Intelligence (XAI)Usability and User Interface Design

Cited by 552

Blockchain-based sharing services: What blockchain technology can contribute to smart cities

Sun, J., Yan, J., & Zhang, K. Z. K. (2016) · Financial Innovation

Blockchain Technology Applications and SecuritySharing Economy and Platforms

Cited by 552

Edge Assisted Real-time Object Detection for Mobile Augmented Reality

Liu, L., Li, H., & Gruteser, M. (2019) · The 25th Annual International Conference on Mobile Computing and Networking

Augmented Reality ApplicationsIoT and Edge/Fog Computing

Cited by 552

The AI Gambit — Leveraging Artificial Intelligence to Combat Climate Change: Opportunities, Challenges, and Recommendations

Cowls, J., Tsamados, A., Taddeo, M., & Floridi, L. (2021) · AI & Society

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

Cited by 552

The AI gambit: leveraging artificial intelligence to combat climate change—opportunities, challenges, and recommendations

Cowls, J., Tsamados, A., Taddeo, M., & Floridi, L. (2023) · AI & SOCIETY

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

Cited by 552

Robust and secure image hashing

Swaminathan, A., Mao, Y., & Wu, M. (2006) · IEEE Transactions on Information Forensics and Security

Advanced Steganography and Watermarking TechniquesChaos-based Image/Signal Encryption

Cited by 552

Opening the black box: the promise and limitations of explainable machine learning in cardiology

Petch, J., Di, S., & Nelson, W. (2022) · Canadian Journal of Cardiology

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare

Cited by 552

NiftyNet: a deep-learning platform for medical imaging

Gibson, E., Li, W., Sudre, C., Fidon, L., Shakir, D. I., Wang, G., Eaton-Rosen, Z., Gray, R., Doel, T., Hu, Y., et al. (2018) · Computer Methods and Programs in Biomedicine

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 552

Fusion of Smartphone Motion Sensors for Physical Activity Recognition

Shoaib, M., Bosch, S., Incel, O., Scholten, H., & Havinga, P. (2014) · Sensors

Context-Aware Activity Recognition SystemsPhysical Activity and Health

Cited by 552