Check computer science papers: citations, claims and retractions

Software Documentation Issues Unveiled

Aghajani, E., Nagy, C., Vega-Marquez, O. L., Linares-Vasquez, M., Moreno, L., Bavota, G., & Lanza, M. (2019) · 2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE)

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 195

Data-Driven Computing and Caching in 5G Networks: Architecture and Delay Analysis

Chen, M., Qian, Y., Hao, Y., Li, Y., & Song, J. (2018) · IEEE Wireless Communications

Caching and Content DeliveryIoT and Edge/Fog Computing

Cited by 195

Detecting Compressed Deepfake Videos in Social Networks Using Frame-Temporality Two-Stream Convolutional Network

Hu, J., Liao, X., Wang, W., & Qin, Z. (2022) · IEEE Transactions on Circuits and Systems for Video Technology

Digital Media Forensic DetectionImage and Video Quality Assessment

Cited by 195

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

Lindauer, M., Eggensperger, K., Feurer, M., Biedenkapp, A., Deng, D., Benjamins, C., Ruhopf, T., Sass, R., & Hutter, F. (2021) · arXiv

Machine Learning and Data ClassificationAdvanced Bandit Algorithms Research

Cited by 195

Altering Spatial Priority Maps via Reward-Based Learning

Chelazzi, L., E to inova, J., Calletti, R., Lo Gerfo, E., Sani, I., Della Libera, C., & Santandrea, E. (2014) · Journal of Neuroscience

Visual Attention and Saliency DetectionVisual perception and processing mechanisms

Cited by 195

Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols

Havrylov, S., & Titov, I. (2017) · arXiv

Reinforcement Learning in RoboticsLanguage and cultural evolution

Cited by 195

Escaping Plato’s Cave: 3D Shape From Adversarial Rendering

Henzler, P., Mitra, N., & Ritschel, T. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

3D Shape Modeling and AnalysisAdvanced Vision and Imaging

Cited by 194

AI Hallucinations: A Misnomer Worth Clarifying

Maleki, N., Padmanabhan, B., & Dutta, K. (2024) · 2024 IEEE Conference on Artificial Intelligence (CAI)

Topic ModelingNatural Language Processing Techniques

Cited by 194

DNA-Inspired Online Behavioral Modeling and Its Application to Spambot Detection

Cresci, S., Di Pietro, R., Petrocchi, M., Spognardi, A., & Tesconi, M. (2016) · IEEE Intelligent Systems

Spam and Phishing DetectionUser Authentication and Security Systems

Cited by 194

Discovering Language Model Behaviors with Model-Written Evaluations

Perez, E., Ringer, S., Lukosiute, K., Nguyen, K., Chen, E., Heiner, S., Pettit, C., Olsson, C., Kundu, S., Kadavath, S., et al. (2023) · Findings of the Association for Computational Linguistics: ACL 2023

Topic ModelingNatural Language Processing Techniques

Cited by 194

The Role of Health Technology and Informatics in a Global Public Health Emergency: Practices and Implications From the COVID-19 Pandemic

Ye, J. (2020) · JMIR Medical Informatics

Healthcare during COVID-19 PandemicTelemedicine and Telehealth Implementation

Cited by 194

Hypothetical Outcome Plots Outperform Error Bars and Violin Plots for Inferences about Reliability of Variable Ordering

Hullman, J., Resnick, P., & Adar, E. (2015) · PLOS ONE

Data Visualization and AnalyticsVisual and Cognitive Learning Processes

Cited by 194

Explicit modelling of state occupancy in hidden Markov models for automatic speech recognition

Russell, M., & Moore, R. (1985) · ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 194

Bias of AI-generated content: an examination of news produced by large language models

Fang, X., Che, S., Mao, M., Zhang, H., Zhao, M., & Zhao, X. (2024) · Scientific Reports

Ethics and Social Impacts of AITopic Modeling

Cited by 194

Letting the computers take over: Using AI to solve marketing problems

Overgoor, G., Chica, M., Rand, W., & Weishampel, A. (2019) · California Management Review

Artificial Intelligence ApplicationsAI in Service Interactions

Cited by 194

When Users Want What's not Best for Them

Andre, A. D., & Wickens, C. D. (1995) · Ergonomics in Design: The Quarterly of Human Factors Applications

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 194

The Dangers of Post-hoc Interpretability: Unjustified Counterfactual Explanations

Laugel, T., Lesot, M.-J., Marsala, C., Renard, X., & Detyniecki, M. (2019) · Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 194

Mining query logs: turning search usage data into knowledge

Silvestri, F. (2009) · Foundations and Trends® in Information Retrieval

Information Retrieval and Search BehaviorRecommender Systems and Techniques

Cited by 194

Understanding self-reflection: how people reflect on personal data through visual data exploration

Choe, E. K., Lee, B., Zhu, H., Riche, N. H., & Baur, D. (2017) · Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare

Innovative Human-Technology InteractionData Visualization and Analytics

Cited by 194

A Watermark for Large Language Models

Kirchenbauer, J., Geiping, J., Wen, Y., Katz, J., Miers, I., & Goldstein, T. (2023) · arXiv

Advanced Steganography and Watermarking TechniquesAdversarial Robustness in Machine Learning

Cited by 194

Boundary object use in cross-cultural software development teams

Barrett, M., & Oborn, E. (2010) · Human Relations

Software Engineering Techniques and PracticesTeam Dynamics and Performance

Cited by 194

VAL: automatic plan validation, continuous effects and mixed initiative planning using PDDL

Howey, R., Long, D., & Fox, M. (2005) · 16th IEEE International Conference on Tools with Artificial Intelligence

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

Cited by 194

Compositionality Decomposed: How do Neural Networks Generalise?

Hupkes, D., Dankers, V., Mul, M., & Bruni, E. (2020) · Journal of Artificial Intelligence Research

Natural Language Processing TechniquesTopic Modeling

Cited by 194

Readmission prediction using deep learning on electronic health records

Ashfaq, A., Sant’Anna, A., Lingman, M., & Nowaczyk, S. (2019) · Journal of Biomedical Informatics

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 194