Check computer science papers: citations, claims and retractions

Generative Adversarial Networks and Its Applications in Biomedical Informatics

Lan, L., You, L., Zhang, Z., Fan, Z., Zhao, W., Zeng, N., Chen, Y., & Zhou, X. (2020) · Frontiers in Public Health

Generative Adversarial Networks and Image SynthesisArtificial Intelligence in Healthcare and Education

Cited by 237

pix2code: Generating Code from a Graphical User Interface Screenshot

Beltramelli, T. (2018) · Proceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems

Software Engineering ResearchMobile and Web Applications

Cited by 237

Reward grabs the eye: Oculomotor capture by rewarding stimuli

Theeuwes, J., & Belopolsky, A. V. (2012) · Vision Research

Visual Attention and Saliency DetectionNeural and Behavioral Psychology Studies

Cited by 237

FMA: A Dataset for Music Analysis

Defferrard, M., Benzi, K., Vandergheynst, P., & Bresson, X. (2016) · arXiv

Music and Audio ProcessingMusic Technology and Sound Studies

Cited by 237

A Host-Based Intrusion Detection and Mitigation Framework for Smart Home IoT Using OpenFlow

Nobakht, M., Sivaraman, V., & Boreli, R. (2016) · 2016 11th International Conference on Availability, Reliability and Security (ARES)

Network Security and Intrusion DetectionNetwork Packet Processing and Optimization

Cited by 237

Learning-based quantum error mitigation

Strikis, A., Qin, D., Chen, Y., Benjamin, S. C., & Li, Y. (2020) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 237

The Evolution of Computing: AlphaGo

Chen, J. X. (2016) · Computing in Science & Engineering

Artificial Intelligence ApplicationsArtificial Intelligence in Games

Cited by 237

Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition

Donahue, C., Li, B., & Prabhavalkar, R. (2018) · 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Speech and Audio ProcessingSpeech Recognition and Synthesis

Cited by 237

Managing Bias in AI

Roselli, D., Matthews, J., & Talagala, N. (2019) · Companion Proceedings of The 2019 World Wide Web Conference

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 237

Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion

Mai, S., Hu, H., & Xing, S. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 237

On deep generative models with applications to recognition

Ranzato, M., Susskind, J., Mnih, V., & Hinton, G. (2011) · CVPR 2011

Face and Expression RecognitionAdvanced Neural Network Applications

Cited by 237

25 years of lower limb joint kinematics by using inertial and magnetic sensors: A review of methodological approaches

Picerno, P. (2017) · Gait & Posture

Context-Aware Activity Recognition SystemsInertial Sensor and Navigation

Cited by 237

Comparison of Regularization Methods for ImageNet Classification with Deep Convolutional Neural Networks

Smirnov, E. A., Timoshenko, D. M., & Andrianov, S. N. (2014) · AASRI Procedia

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 237

Simple and principled uncertainty estimation with deterministic deep learning via distance awareness

Liu, J. Z., Lin, Z., Padhy, S., Tran, D., Bedrax-Weiss, T., & Lakshminarayanan, B. (2020) · arXiv

Adversarial Robustness in Machine LearningGaussian Processes and Bayesian Inference

Cited by 237

LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Kambhampati, S., Valmeekam, K., Guan, L., Verma, M., Stechly, K., Bhambri, S., Saldyt, L., & Murthy, A. (2024) · arXiv

AI-based Problem Solving and PlanningLogic, Reasoning, and Knowledge

Cited by 237

Automatic Speaker Verification Spoofing and Deepfake Detection Using Wav2vec 2.0 and Data Augmentation

Tak, H., Todisco, M., Wang, X., Jung, J.-W., Yamagishi, J., & Evans, N. (2022) · The Speaker and Language Recognition Workshop (Odyssey 2022)

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 237

Explainable AI in Clinical Decision Support Systems: A Meta-Analysis of Methods, Applications, and Usability Challenges

Abbas, Q., Jeong, W., & Lee, S. W. (2025) · Healthcare

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

Cited by 236

Brain Tumor Classification Using Convolutional Neural Network

Das, S., Aranya, O. F. M. R. R., & Labiba, N. N. (2019) · 2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT)

Brain Tumor Detection and ClassificationAI in cancer detection

Cited by 236

Security vulnerabilities, attacks, countermeasures, and regulations of networked medical devices – a review

Yaqoob, T., Abbas, H., & Atiquzzaman, M. (2019) · IEEE Communications Surveys & Tutorials

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 236

Measurement-based quantum computation beyond the one-way model

Gross, D., Eisert, J., Schuch, N., & Perez-Garcia, D. (2007) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 236

Generative Adversarial Networks for Image and Video Synthesis: Algorithms and Applications

Liu, M.-Y., Huang, X., Yu, J., Wang, T.-C., & Mallya, A. (2021) · Proceedings of the IEEE

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 236

Attention, researchers! It Is time to take a look at the real world

Kingstone, A., Smilek, D., Ristic, J., Kelland Friesen, C., & Eastwood, J. D. (2003) · Current Directions in Psychological Science

Visual Attention and Saliency DetectionVisual perception and processing mechanisms

Cited by 236

Location sensitive deep convolutional neural networks for segmentation of white matter hyperintensities

Ghafoorian, M., Karssemeijer, N., Heskes, T., van Uden, I. W. M., Sanchez, C. I., Litjens, G., de Leeuw, F.-E., van Ginneken, B., Marchiori, E., & Platel, B. (2017) · Scientific Reports

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 236

The power of noise: Redefining retrieval for rag systems

Cuconasu, F., Trappolini, G., Siciliano, F., Filice, S., Campagnano, C., Maarek, Y., Tonellotto, N., & Silvestri, F. (2024) · Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval

Topic ModelingInformation Retrieval and Search Behavior

Cited by 236