Check computer science papers: citations, claims and retractions

Revisiting Relation Extraction in the era of Large Language Models

Wadhwa, S., Amir, S., & Wallace, B. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 207

A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual &Group Unfairness via Inequality Indices

Speicher, T., Heidari, H., Grgic-Hlaca, N., Gummadi, K. P., Singla, A., Weller, A., & Zafar, M. B. (2018) · Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 207

Human model evaluation in interactive supervised learning

Fiebrink, R., Cook, P. R., & Trueman, D. (2011) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Machine Learning and AlgorithmsUsability and User Interface Design

Cited by 207

ExprGAN: Facial Expression Editing With Controllable Expression Intensity

Ding, H., Sricharan, K., & Chellappa, R. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Generative Adversarial Networks and Image SynthesisFace recognition and analysis

Cited by 207

Machine Learning/Artificial Intelligence for Sensor Data Fusion–Opportunities and Challenges

Blasch, E., Pham, T., Chong, C.-Y., Koch, W., Leung, H., Braines, D., & Abdelzaher, T. (2021) · IEEE Aerospace and Electronic Systems Magazine

Target Tracking and Data Fusion in Sensor NetworksInertial Sensor and Navigation

Cited by 207

Visual task characterization for automated visual discourse synthesis

Zhou, M. X., & Feiner, S. K. (1998) · Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '98

Data Visualization and AnalyticsComputer Graphics and Visualization Techniques

Cited by 207

Feature relevance quantification in explainable AI: A causal problem

Janzing, D., Minorics, L., & Blöbaum, P. (2019) · arXiv

Explainable Artificial Intelligence (XAI)Bayesian Modeling and Causal Inference

Cited by 207

Communication Compression for Decentralized Training

Tang, H., Gan, S., Zhang, C., Zhang, T., & Liu, J. (2018) · arXiv

Stochastic Gradient Optimization TechniquesDistributed Control Multi-Agent Systems

Cited by 206

Augmented reality in education: An overview of twenty-five years of research

Bacca-Acosta, J., Avila-Garzon, C., Kinshuk, ​., Duarte, J., & Betancourt, J. (2021) · Contemporary Educational Technology

Augmented Reality ApplicationsVirtual Reality Applications and Impacts

Cited by 206

Segmentation- and Annotation-Free License Plate Recognition With Deep Localization and Failure Identification

Bulan, O., Kozitsky, V., Ramesh, P., & Shreve, M. (2017) · IEEE Transactions on Intelligent Transportation Systems

Vehicle License Plate RecognitionAdvanced Neural Network Applications

Cited by 206

Algorithmic Effects on the Diversity of Consumption on Spotify

Anderson, A., Maystre, L., Anderson, I., Mehrotra, R., & Lalmas, M. (2020) · Proceedings of The Web Conference 2020

Recommender Systems and TechniquesAdvanced Bandit Algorithms Research

Cited by 206

Photonic tensor cores for machine learning

Miscuglio, M., & Sorger, V. J. (2020) · Applied Physics Reviews

Neural Networks and Reservoir ComputingPhotonic and Optical Devices

Cited by 206

Deep Kalman Filters

Krishnan, R. G., Shalit, U., & Sontag, D. (2015) · arXiv

Gaussian Processes and Bayesian InferenceTarget Tracking and Data Fusion in Sensor Networks

Cited by 206

Computability: An introduction to recursive function theory

Cutland, N. (1980) · Cambridge University Press eBooks

Computability, Logic, AI Algorithmssemigroups and automata theory

Cited by 206

AssemblyNet: A large ensemble of CNNs for 3D whole brain MRI segmentation

Coupé, P., Mansencal, B., Clément, M., Giraud, R., Denis de Senneville, B., Ta, V.-T., Lepetit, V., & Manjon, J. V. (2020) · NeuroImage

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 206

Masked Autoencoders that Listen

Huang, P.-Y., Xu, H., Li, J., Baevski, A., Auli, M., Galuba, W., Metze, F., & Feichtenhofer, C. (2022) · arXiv

Speech and Audio ProcessingSpeech Recognition and Synthesis

Cited by 206

Scratch for budding computer scientists

Malan, D. J., & Leitner, H. H. (2007) · ACM SIGCSE Bulletin

Teaching and Learning ProgrammingEducational Robotics and Engineering

Cited by 206

Graph Retrieval-Augmented Generation: A Survey

Peng, B., Zhu, Y., Liu, Y., Bo, X., Shi, H., Hong, C., Zhang, Y., & Tang, S. (2026) · ACM Transactions on Information Systems

Topic ModelingInformation Retrieval and Search Behavior

Cited by 206

Tracking by Instance Detection: A Meta-Learning Approach

Wang, G., Luo, C., Sun, X., Xiong, Z., & Zeng, W. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 206

Spatiotemporal Data Mining: A Computational Perspective

Shekhar, S., Jiang, Z., Ali, R., Eftelioglu, E., Tang, X., Gunturi, V., & Zhou, X. (2015) · ISPRS International Journal of Geo-Information

Data Management and AlgorithmsData Mining Algorithms and Applications

Cited by 206

Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images

Noorbakhsh, J., Farahmand, S., Foroughi pour, A., Namburi, S., Caruana, D., Rimm, D., Soltanieh-ha, M., Zarringhalam, K., & Chuang, J. H. (2020) · Nature Communications

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 206

TaleBrush: Sketching Stories with Generative Pretrained Language Models

Chung, J. J. Y., Kim, W., Yoo, K. M., Lee, H., Adar, E., & Chang, M. (2022) · CHI Conference on Human Factors in Computing Systems

Artificial Intelligence in GamesInnovative Human-Technology Interaction

Cited by 206

Acquiring robot skills via reinforcement learning

Gullapalli, V., Franklin, J. A., & Benbrahim, H. (1994) · IEEE Control Systems

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 206

Circuit for Shor's algorithm using 2n+3 qubits

Beauregard, S. (2003) · Quantum Information and Computation

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 206