Check computer science papers: citations, claims and retractions

PixArt-$α$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Chen, J., Yu, J., Ge, C., Yao, L., Xie, E., Wu, Y., Wang, Z., Kwok, J., Luo, P., Lu, H., et al. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 30

Playgol: Learning Programs Through Play

Cropper, A. (2019) · Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence

AI-based Problem Solving and PlanningEvolutionary Algorithms and Applications

Cited by 30

A psychometric framework for evaluating and shaping personality traits in large language models

Serapio-García, G., Safdari, M., Crepy, C., Sun, L., Fitz, S., Romero, P., Abdulhai, M., Faust, A., & Matarić, M. (2025) · Nature Machine Intelligence

Ethics and Social Impacts of AITopic Modeling

Cited by 30

Transferring Inductive Biases through Knowledge Distillation

Abnar, S., Dehghani, M., & Zuidema, W. (2020) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 30

Misogynoir: challenges in detecting intersectional hate

Kwarteng, J., Perfumi, S. C., Farrell, T., Third, A., & Fernandez, M. (2022) · Social Network Analysis and Mining

Hate Speech and Cyberbullying DetectionEthics and Social Impacts of AI

Cited by 30

Dsc+Mock: a test case + mock class generator in support of coding against interfaces

Islam, M., & Csallner, C. (2010) · Proceedings of the Eighth International Workshop on Dynamic Analysis

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 30

Best practices in convolutional networks for forward-looking sonar image recognition

Valdenegro-Toro, M. (2017) · OCEANS 2017 - Aberdeen

Advanced Neural Network ApplicationsUnderwater Acoustics Research

Cited by 30

A methodology for controlling bias and fairness in synthetic data generation

Barbierato, E., Vedova, M. L. D., Tessera, D., Toti, D., & Vanoli, N. (2022) · Applied Sciences

Ethics and Social Impacts of AIImbalanced Data Classification Techniques

Cited by 30

A multiparadigm intelligent tutoring system for robotic arm training

Fournier-Viger, P., Nkambou, R., Nguifo, E. M., Mayers, A., & Faghihi, U. (2013) · IEEE Transactions on Learning Technologies

Intelligent Tutoring Systems and Adaptive LearningAI-based Problem Solving and Planning

Cited by 30

A Field Guide to Automatic Evaluation of LLM-Generated Summaries

van Schaik, T. A., & Pugh, B. (2024) · Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval

Topic ModelingAdvanced Text Analysis Techniques

Cited by 30

BlockSIEM: Protecting Smart City Services through a Blockchain-based and Distributed SIEM

Botello, J. V., Mesa, A. P., Rodríguez, F. A., Díaz-López, D., Nespoli, P., & Mármol, F. G. (2020) · Sensors

Blockchain Technology Applications and SecurityNetwork Security and Intrusion Detection

Cited by 30

Out of Context: Investigating the Bias and Fairness Concerns of “Artificial Intelligence as a Service”

Lewicki, K., Lee, M. S. A., Cobbe, J., & Singh, J. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 30

The role of conceptual knowledge in API usability

Ko, A. J., & Riche, Y. (2011) · 2011 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 30

General agents contain world models

Richens, J., Abel, D., Bellot, A., & Everitt, T. (2025) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 30

Diversity in Faces

Merler, M., Ratha, N., Feris, R. S., & Smith, J. R. (2019) · arXiv

Face recognition and analysisFace and Expression Recognition

Cited by 30

Why Comparing Single Performance Scores Does Not Allow to Draw Conclusions About Machine Learning Approaches

Reimers, N., & Gurevych, I. (2018) · arXiv

Machine Learning and Data ClassificationTopic Modeling

Cited by 30

How Does AI Improve Human Decision-Making? Evidence from the AI-Powered Go Program

Choi, S., Kim, N., Kim, J., & Kang, H. (2021) · SSRN Electronic Journal

Artificial Intelligence in GamesArtificial Intelligence Applications

Cited by 30

Multimodal emotion recognition by combining physiological signals and facial expressions: A preliminary study

Kortelainen, J., Tiinanen, S., Huang, X., Li, X., Laukka, S., Pietikainen, M., & Seppanen, T. (2012) · 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Emotion and Mood RecognitionHeart Rate Variability and Autonomic Control

Cited by 30

The role of automated technology in the creation of copyright works: The challenges of artificial intelligence

Zatarain, J. M. N. (2017) · International Review of Law, Computers & Technology

Law, AI, and Intellectual PropertyIntellectual Property Rights and Media

Cited by 30

Detecting Insider Threat from Behavioral Logs Based on Ensemble and Self-Supervised Learning

Zhang, C., Wang, S., Zhan, D., Yu, T., Wang, T., & Yin, M. (2021) · Security and Communication Networks

Network Security and Intrusion DetectionInformation and Cyber Security

Cited by 30

Virtual environment for lower-extremities training

Koritnik, T., Bajd, T., & Munih, M. (2008) · Gait & Posture

Virtual Reality Applications and ImpactsStroke Rehabilitation and Recovery

Cited by 30

It's not easy seeing green: Lighting-resistant stereo Visual Teach & Repeat using color-constant images

Paton, M., MacTavish, K., Ostafew, C. J., & Barfoot, T. D. (2015) · 2015 IEEE International Conference on Robotics and Automation (ICRA)

Robotics and Sensor-Based LocalizationAdvanced Vision and Imaging

Cited by 30

AdaptUI: A Framework for the development of Adaptive User Interfaces in Smart Product-Service Systems

Carrera-Rivera, A., Larrinaga, F., Lasa, G., Martinez-Arellano, G., & Unamuno, G. (2024) · User Modeling and User-Adapted Interaction

Recommender Systems and TechniquesUsability and User Interface Design

Cited by 30

IF-CNN: Image-Aware Inference Framework for CNN With the Collaboration of Mobile Devices and Cloud

Shu, G., Liu, W., Zheng, X., & Li, J. (2018) · IEEE Access

Advanced Neural Network ApplicationsIoT and Edge/Fog Computing

Cited by 30