Check computer science papers: citations, claims and retractions

Mind Your Format: Towards Consistent Evaluation of In-Context Learning Improvements

Voronov, A., Wolf, L., & Ryabinin, M. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 77

Longitudinal Risk Prediction of Chronic Kidney Disease in Diabetic Patients using Temporal-Enhanced Gradient Boosting Machine: Retrospective Cohort Study

Song, X., Waitman, L. R., Yu, A. S., Robbins, D. C., Hu, Y., & Liu, M. (2020) · JMIR Medical Informatics

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 77

Preference Ranking Optimization for Human Alignment

Song, F., Yu, B., Li, M., Yu, H., Huang, F., Li, Y., & Wang, H. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence

Topic ModelingNatural Language Processing Techniques

Cited by 77

Estimating search engine index size variability: a 9-year longitudinal study

van den Bosch, A., Bogers, T., & de Kunder, M. (2016) · Scientometrics

Web visibility and informetricsInformation Retrieval and Search Behavior

Cited by 77

Cyberbullying Detection in Social Networks: A Comparison Between Machine Learning and Transfer Learning Approaches

Teng, T. H., & Varathan, K. D. (2023) · IEEE Access

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 77

Benchmarking a quantum annealing processor with the time-to-target metric

King, J., Yarkoni, S., Nevisi, M. M., Hilton, J. P., & McGeoch, C. C. (2015) · arXiv

Quantum Computing Algorithms and ArchitectureParallel Computing and Optimization Techniques

Cited by 77

Mediendidaktik: Konzeption und Entwicklung mediengestützter Lernangebote

Kerres, M. (2013) · Oldenbourg Wissenschaftsverlag eBooks

Educational Technology and E-LearningEducation and Digital Technologies

Cited by 77

A Comprehensive Attack Flow Model and Security Analysis for Wi-Fi and WPA3

Kohlios, C. P., & Hayajneh, T. (2018) · Electronics

Advanced Authentication Protocols SecurityWireless Networks and Protocols

Cited by 77

Toward spotting the pedophile telling victim from predator in text chats

Pendar, N. (2007) · International Conference on Semantic Computing (ICSC 2007)

Text and Document Classification TechnologiesHate Speech and Cyberbullying Detection

Cited by 77

Rule extraction in unsupervised anomaly detection for model explainability: Application to OneClass SVM

Barbado, A., Corcho, Ó., & Benjamins, R. (2022) · Expert Systems with Applications

Explainable Artificial Intelligence (XAI)Anomaly Detection Techniques and Applications

Cited by 77

Data-efficient Domain Randomization with Bayesian Optimization

Muratore, F., Eilers, C., Gienger, M., & Peters, J. (2020) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 77

Minimizing Estimation Runtime on Noisy Quantum Computers

Wang, G., Koh, D. E., Johnson, P. D., & Cao, Y. (2021) · PRX Quantum

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 77

On Warm-Starting Neural Network Training

Ash, J. T., & Adams, R. P. (2019) · arXiv

Stochastic Gradient Optimization TechniquesDomain Adaptation and Few-Shot Learning

Cited by 77

Multimodal Prompt Learning with Missing Modalities for Sentiment Analysis and Emotion Recognition

Guo, Z., Jin, T., & Zhao, Z. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Sentiment Analysis and Opinion MiningMultimodal Machine Learning Applications

Cited by 77

Gossip training for deep learning

Blot, M., Picard, D., Cord, M., & Thome, N. (2016) · arXiv

Stochastic Gradient Optimization TechniquesDistributed Control Multi-Agent Systems

Cited by 77

Analyzing Patient Trajectories With Artificial Intelligence

Allam, A., Feuerriegel, S., Rebhan, M., & Krauthammer, M. (2021) · Journal of Medical Internet Research

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 77

A Study of Visual Studio Usage in Practice

Amann, S., Proksch, S., Nadi, S., & Mezini, M. (2016) · 2016 IEEE 23rd International Conference on Software Analysis, Evolution, and Reengineering (SANER)

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 77

Ifaasbus: a security-and privacy-based lightweight framework for serverless computing using iot and machine learning

Golec, M., Ozturac, R., Pooranian, Z., Gill, S. S., & Buyya, R. (2022) · IEEE Transactions on Industrial Informatics

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 77

Diachronic Usage Relatedness (DURel): A Framework for the Annotation of Lexical Semantic Change

Schlechtweg, D., Schulte im Walde, S., & Eckmann, S. (2018) · Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)

Natural Language Processing TechniquesLexicography and Language Studies

Cited by 77

Opportunistic Human Activity and Context Recognition

Roggen, D., Troster, G., Lukowicz, P., Ferscha, A., del R. Millan, J., & Chavarriaga, R. (2013) · Computer

Context-Aware Activity Recognition SystemsHuman Mobility and Location-Based Analysis

Cited by 77

“An Adapt-or-Die Type of Situation”: Perception, Adoption, and Use of Text-to-Image-Generation AI by Game Industry Professionals

Vimpari, V., Kultima, A., Hämäläinen, P., & Guckelsberger, C. (2023) · Proceedings of the ACM on Human-Computer Interaction

Digital Media and Visual ArtArt, Technology, and Culture

Cited by 77

How Will VR Enter University Classrooms? Multi-stakeholders Investigation of VR in Higher Education

Jin, Q., Liu, Y., Yarosh, S., Han, B., & Qian, F. (2022) · CHI Conference on Human Factors in Computing Systems

Virtual Reality Applications and ImpactsAugmented Reality Applications

Cited by 77

AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning

Wang, Y., Agarwal, S., Mukherjee, S., Liu, X., Gao, J., Awadallah, A. H., & Gao, J. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 77

Benchmarks for Automated Commonsense Reasoning: A Survey

Davis, E. (2023) · arXiv

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

Cited by 77