Check computer science papers: citations, claims and retractions

Towards Human-Machine Cooperation: Self-Supervised Sample Mining for Object Detection

Wang, K., Yan, X., Zhang, D., Zhang, L., & Lin, L. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Machine Learning and AlgorithmsAdvanced Neural Network Applications

Cited by 127

Security Aspects of Blockchain Technology Intended for Industrial Applications

Idrees, S. M., Nowostawski, M., Jameel, R., & Mourya, A. K. (2021) · Electronics

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 127

Facial expression recognition using Gabor motion energy filters

Wu, T., Bartlett, M. S., & Movellan, J. R. (2010) · 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops

Face and Expression RecognitionFace recognition and analysis

Cited by 126

The brain as a Darwin Machine

Calvin, W. H. (1987) · Nature

Cognitive Computing and NetworksPhilosophy and Theoretical Science

Cited by 126

A New Lattice-Based Signature Scheme in Post-Quantum Blockchain Network

Li, C.-Y., Chen, X.-B., Chen, Y.-L., Hou, Y.-Y., & Li, J. (2019) · IEEE Access

Cryptography and Data SecurityBlockchain Technology Applications and Security

Cited by 126

Common Limitations of Image Processing Metrics: A Picture Story

Reinke, A., Tizabi, M. D., Sudre, C. H., Eisenmann, M., Rädsch, T., Baumgartner, M., Acion, L., Antonelli, M., Arbel, T., Bakas, S., et al. (2021) · arXiv

Medical Image Segmentation TechniquesCell Image Analysis Techniques

Cited by 126

Stochastic collapsed variational Bayesian inference for latent Dirichlet allocation

Foulds, J., Boyles, L., DuBois, C., Smyth, P., & Welling, M. (2013) · Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining

Topic ModelingBayesian Methods and Mixture Models

Cited by 126

Time-Sensitive Networking (TSN) for Industrial Automation: Current Advances and Future Directions

Zhang, T., Wang, G., Xue, C., Wang, J., Nixon, M., & Han, S. (2025) · ACM Computing Surveys

Network Time Synchronization TechnologiesIndustrial Automation and Control Systems

Cited by 126

Detection of Cyberbullying Incidents on the Instagram Social Network

Hosseinmardi, H., Mattson, S. A., Rafiq, R. I., Han, R., Lv, Q., & Mishra, S. (2015) · arXiv

Hate Speech and Cyberbullying DetectionBullying, Victimization, and Aggression

Cited by 126

Time-optimal unitary operations

Carlini, A., Hosoya, A., Koike, T., & Okudaira, Y. (2007) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 126

Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study

Muti, H. S., Heij, L. R., Keller, G., Kohlruss, M., Langer, R., Dislich, B., Cheong, J.-H., Kim, Y.-W., Kim, H., Kook, M.-C., et al. (2021) · The Lancet Digital Health

AI in cancer detectionGastric Cancer Management and Outcomes

Cited by 126

Way Off-Policy Batch Deep Reinforcement Learning of Implicit Human Preferences in Dialog

Jaques, N., Ghandeharioun, A., Shen, J. H., Ferguson, C., Lapedriza, A., Jones, N., Gu, S., & Picard, R. (2019) · arXiv

Reinforcement Learning in RoboticsSpeech and dialogue systems

Cited by 126

Developing usable Web sites – a review and model

Cunliffe, D. (2000) · Internet Research

Usability and User Interface DesignWeb Applications and Data Management

Cited by 126

Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure

Nushi, B., Kamar, E., & Horvitz, E. (2018) · Proceedings of the AAAI Conference on Human Computation and Crowdsourcing

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

Cited by 126

On barren plateaus and cost function locality in variational quantum algorithms

Uvarov, A. V., & Biamonte, J. D. (2021) · Journal of Physics A: Mathematical and Theoretical

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 126

Quantum stochastic walks: A generalization of classical random walks and quantum walks

Whitfield, J. D., Rodríguez-Rosario, C. A., & Aspuru-Guzik, A. (2010) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications

Cited by 126

A Retrieve-and-Edit Framework for Predicting Structured Outputs

Hashimoto, T. B., Guu, K., Oren, Y., & Liang, P. (2018) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 126

MIDeepSeg: Minimally interactive segmentation of unseen objects from medical images using deep learning

Luo, X., Wang, G., Song, T., Zhang, J., Aertsen, M., Deprest, J., Ourselin, S., Vercauteren, T., & Zhang, S. (2021) · Medical Image Analysis

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 126

Estimating a system's mean time-to-compromise

Leversage, D. J., & Byres, E. J. (2008) · IEEE Security & Privacy

Information and Cyber SecuritySmart Grid Security and Resilience

Cited by 126

Repair Is Nearly Generation: Multilingual Program Repair with LLMs

Joshi, H., Cambronero Sanchez, J., Gulwani, S., Le, V., Verbruggen, G., & Radiček, I. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 126

Using regional saliency for speech emotion recognition

Aldeneh, Z., & Provost, E. M. (2017) · 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Emotion and Mood RecognitionSpeech Recognition and Synthesis

Cited by 126

Hidden concerns of sharing research data by low/middle-income country scientists

Bezuidenhout, L., & Chakauya, E. (2018) · Global Bioethics

Research Data Management PracticesAcademic Publishing and Open Access

Cited by 126

Understanding artificial intelligence ethics and safety: A guide for the responsible design and implementation of AI systems in the public sector

Leslie, D. (2019) · Zenodo

Ethics and Social Impacts of AIE-Government and Public Services

Cited by 126

Joint Multimodal Learning with Deep Generative Models

Suzuki, M., Nakayama, K., & Matsuo, Y. (2016) · arXiv

Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 126