Check computer science papers: citations, claims and retractions

Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation

Peng, X., Tang, Z., Yang, F., Feris, R. S., & Metaxas, D. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Human Pose and Action RecognitionGenerative Adversarial Networks and Image Synthesis

Cited by 240

Values Levers: Building Ethics into Design

Shilton, K. (2013) · Science, Technology, & Human Values

Ethics and Social Impacts of AIInnovative Human-Technology Interaction

Cited by 240

Lambda architecture for cost-effective batch and speed big data processing

Kiran, M., Murphy, P., Monga, I., Dugan, J., & Baveja, S. S. (2015) · 2015 IEEE International Conference on Big Data (Big Data)

Cloud Computing and Resource ManagementAdvanced Database Systems and Queries

Cited by 240

When (ish) is My Bus?: User-centered Visualizations of Uncertainty in Everyday, Mobile Predictive Systems

Kay, M., Kola, T., Hullman, J. R., & Munson, S. A. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

Data Visualization and AnalyticsUsability and User Interface Design

Cited by 239

Model-Free reinforcement learning with continuous action in practice

Degris, T., Pilarski, P. M., & Sutton, R. S. (2012) · 2012 American Control Conference (ACC)

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 239

Ecological data sharing

Michener, W. K. (2015) · Ecological Informatics

Research Data Management PracticesScientific Computing and Data Management

Cited by 239

QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey

Barakabitze, A. A., Barman, N., Ahmad, A., Zadtootaghaj, S., Sun, L., Martini, M. G., & Atzori, L. (2020) · IEEE Communications Surveys & Tutorials

Software-Defined Networks and 5GImage and Video Quality Assessment

Cited by 239

A blockchain-based medical data sharing and protection scheme

Liu, X., Wang, Z., Jin, C., Li, F., & Li, G. (2019) · IEEE Access

Blockchain Technology Applications and SecurityElectronic Health Records Systems

Cited by 239

Exploiting Massive D2D Collaboration for Energy-Efficient Mobile Edge Computing

Chen, X., Pu, L., Gao, L., Wu, W., & Wu, D. (2017) · IEEE Wireless Communications

IoT and Edge/Fog ComputingAdvanced MIMO Systems Optimization

Cited by 239

How can we manage biases in artificial intelligence systems – A systematic literature review

P．S．, D. V. (2023) · International Journal of Information Management Data Insights

Ethics and Social Impacts of AIAI and HR Technologies

Cited by 239

DENS: Data Center Energy-Efficient Network-Aware Scheduling

Kliazovich, D., Bouvry, P., & Khan, S. U. (2010) · 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing

Cloud Computing and Resource ManagementEnergy Efficiency in Computing

Cited by 239

Give Us the Facts: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling

Yang, L., Chen, H., Li, Z., Ding, X., & Wu, X. (2023) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 239

TabFact: A Large-scale Dataset for Table-based Fact Verification

Chen, W., Wang, H., Chen, J., Zhang, Y., Wang, H., Li, S., Zhou, X., & Wang, W. Y. (2019) · arXiv

Topic ModelingMisinformation and Its Impacts

Cited by 239

Experimental scattershot boson sampling

Bentivegna, M., Spagnolo, N., Vitelli, C., Flamini, F., Viggianiello, N., Latmiral, L., Mataloni, P., Brod, D. J., Galvão, E. F., Crespi, A., et al. (2015) · Science Advances

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 239

DeepProbLog: Neural Probabilistic Logic Programming

Manhaeve, R., Dumančić, S., Kimmig, A., Demeester, T., & De Raedt, L. (2018) · arXiv

Logic, Reasoning, and KnowledgeBayesian Modeling and Causal Inference

Cited by 239

CommonGen: A constrained text generation challenge for generative commonsense reasoning

Lin, B. Y., Zhou, W., Shen, M., Zhou, P., Bhagavatula, C., Choi, Y., & Ren, X. (2020) · Findings of the Association for Computational Linguistics: EMNLP 2020

Topic ModelingMultimodal Machine Learning Applications

Cited by 239

Enhancing interpretability and accuracy of AI models in healthcare: a comprehensive review on challenges and future directions

Ennab, M., & Mcheick, H. (2024) · Frontiers in Robotics and AI

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 238

DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs

Dua, D., Wang, Y., Dasigi, P., Stanovsky, G., Singh, S., & Gardner, M. (2019) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 238

AIOps: Real-World Challenges and Research Innovations

Dang, Y., Lin, Q., & Huang, P. (2019) · 2019 IEEE/ACM 41st International Conference on Software Engineering: Companion Proceedings (ICSE-Companion)

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 238

Causal interpretability for machine learning-problems, methods and evaluation

Moraffah, R., Karami, M., Guo, R., Raglin, A., & Liu, H. (2020) · ACM SIGKDD Explorations Newsletter

Explainable Artificial Intelligence (XAI)Bayesian Modeling and Causal Inference

Cited by 238

Validation of digital pathology imaging for primary histopathological diagnosis

Snead, D. R. J., Tsang, Y., Meskiri, A., Kimani, P. K., Crossman, R., Rajpoot, N. M., Blessing, E., Chen, K., Gopalakrishnan, K., Matthews, P., et al. (2016) · Histopathology

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 238

An improved P2P file system scheme based on IPFS and Blockchain

Chen, Y., Li, H., Li, K., & Zhang, J. (2017) · 2017 IEEE International Conference on Big Data (Big Data)

Peer-to-Peer Network TechnologiesBlockchain Technology Applications and Security

Cited by 238

Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes From a Single Image

Nie, Y., Han, X., Guo, S., Zheng, Y., Chang, J., & Zhang, J. J. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

3D Shape Modeling and AnalysisAdvanced Neural Network Applications

Cited by 238

Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models

Liu, Z., Rodriguez-Opazo, C., Teney, D., & Gould, S. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 238