Check computer science papers: citations, claims and retractions

Optimizing Autoencoders for Learning Deep Representations from Health Data

Zhou, C., Jia, Y., & Motani, M. (2019) · IEEE Journal of Biomedical and Health Informatics

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 29

Chatbot-mediated Learning: Conceptual Framework for the Design of Chatbot Use Cases in Education

Sonderegger, S., & Seufert, S. (2022) · Proceedings of the 14th International Conference on Computer Supported Education

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 29

What Do Self-Supervised Vision Transformers Learn?

Park, N., Kim, W., Heo, B., Kim, T., & Yun, S. (2023) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 29

Dragonfly Key Exchange

(2015)

Advanced Authentication Protocols SecurityCryptography and Data Security

Cited by 29

Content Popularity Prediction in Fog Radio Access Networks: A Federated Learning Based Approach

Wu, Y., Jiang, Y., Bennis, M., Zheng, F., Gao, X., & You, X. (2020) · ICC 2020 - 2020 IEEE International Conference on Communications (ICC)

Caching and Content DeliveryIoT and Edge/Fog Computing

Cited by 29

Model-Based Policy Search Using Monte Carlo Gradient Estimation With Real Systems Application

Amadio, F., Dalla Libera, A., Antonello, R., Nikovski, D., Carli, R., & Romeres, D. (2022) · IEEE Transactions on Robotics

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 29

Generative AI for Pull Request Descriptions: Adoption, Impact, and Developer Interventions

Xiao, T., Hata, H., Treude, C., & Matsumoto, K. (2024) · Proceedings of the ACM on Software Engineering

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 29

Freelancers in the Software Development Process: A Systematic Mapping Study

Gupta, V., Fernandez-Crehuet, J. M., & Hanne, T. (2020) · Processes

Software Engineering Techniques and PracticesOpen Source Software Innovations

Cited by 29

Predictive Algorithms in Justice Systems and the Limits of Tech-Reformism

Ugwudike, P. (2022) · International Journal for Crime, Justice and Social Democracy

Ethics and Social Impacts of AIArtificial Intelligence in Law

Cited by 29

Entangling Four Logical Qubits beyond Break-Even in a Nonlocal Code

Hong, Y., Durso-Sabina, E., Hayes, D., & Lucas, A. (2024) · Physical Review Letters

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 29

Stress and emotion recognition using log-Gabor filter analysis of speech spectrograms

He, L., Lech, M., Maddage, N., & Allen, N. (2009) · 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops

Emotion and Mood RecognitionSpeech Recognition and Synthesis

Cited by 29

UX Heatmaps: Mapping User Experience on Visual Interfaces

Georges, V., Courtemanche, F., Senecal, S., Baccino, T., Fredette, M., & Leger, P.-M. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems

Gaze Tracking and Assistive TechnologyInnovative Human-Technology Interaction

Cited by 29

Exploring Aboriginal Views of Health Using Fuzzy Cognitive Maps and Transitive Closure: A Case Study of the Determinants of Diabetes

Giles, B. G., Haas, G., Šajna, M., & Findlay, C. S. (2008) · Canadian Journal of Public Health

Cognitive Science and MappingIndigenous Health, Education, and Rights

Cited by 29

Mel-Spectrogram Image-Based End-to-End Audio Deepfake Detection Under Channel-Mismatched Conditions

Fathan, A., Alam, J., & Kang, W. H. (2022) · 2022 IEEE International Conference on Multimedia and Expo (ICME)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 29

Knowledge management in software testing: a systematic snowball literature review

Wnuk, K., & Garrepalli, T. (2018) · Institute of Applied Informatics, Wroclaw University of Technology, Wroclaw

Software Testing and Debugging TechniquesSoftware Engineering Techniques and Practices

Cited by 29

Game Theory Analysis and Modeling of Sophisticated Multi-Collusion Attack in MANETs

Khan, B. U. I., Anwar, F., Olanrewaju, R. F., Kiah, M. L. B. M., & Mir, R. N. (2021) · IEEE Access

Mobile Ad Hoc NetworksSecurity in Wireless Sensor Networks

Cited by 29

The language of prompting: What linguistic properties make a prompt successful?

Leidinger, A., van Rooij, R., & Shutova, E. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 29

Fight Fire with Fire: How Much Can We Trust ChatGPT on Source Code-Related Tasks?

Yu, X., Liu, L., Hu, X., Keung, J. W., Liu, J., & Xia, X. (2024) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 29

Empirical analysis of the relationship between CC and SLOC in a large corpus of Java methods and C functions

Landman, D., Serebrenik, A., Bouwers, E., & Vinju, J. J. (2016) · Journal of Software: Evolution and Process

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 29

Fast nonparametric estimation of class proportions in the positive-unlabeled classification setting

Zeiberg, D., Jain, S., & Radivojac, P. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Machine Learning and Data ClassificationImbalanced Data Classification Techniques

Cited by 29

Proactive Mediation in Plan-Based Narrative Environments

Harris, J., & Young, R. M. (2009) · IEEE Transactions on Computational Intelligence and AI in Games

Artificial Intelligence in GamesAI-based Problem Solving and Planning

Cited by 29

Sensor Data Required for Automatic Recognition of Athletic Tasks Using Deep Neural Networks

Clouthier, A. L., Ross, G. B., & Graham, R. B. (2020) · Frontiers in Bioengineering and Biotechnology

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 29

DeepTaskAPT: Insider APT detection using Task-tree based Deep Learning

Mamun, M., & Shi, K. (2021) · 2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

Network Security and Intrusion DetectionInformation and Cyber Security

Cited by 29

Optimizing the Multiclass F-Measure via Biconcave Programming

Narasimhan, H., Pan, W., Kar, P., Protopapas, P., & Ramaswamy, H. G. (2016) · 2016 IEEE 16th International Conference on Data Mining (ICDM)

Imbalanced Data Classification TechniquesMachine Learning and Data Classification

Cited by 29