Check computer science papers: citations, claims and retractions

Behavior based software theft detection

Wang, X., Jhi, Y.-C., Zhu, S., & Liu, P. (2009) · Proceedings of the 16th ACM conference on Computer and communications security

Software Engineering ResearchPhysical Unclonable Functions (PUFs) and Hardware Security

Cited by 101

A New Method for Detection of Phishing Websites: URL Detection

Parekh, S., Parikh, D., Kotak, S., & Sankhe, S. (2018) · 2018 Second International Conference on Inventive Communication and Computational Technologies (ICICCT)

Spam and Phishing DetectionMisinformation and Its Impacts

Cited by 101

Behaviorism is Not Enough: Better Recommendations through Listening to Users

Ekstrand, M. D., & Willemsen, M. C. (2016) · Proceedings of the 10th ACM Conference on Recommender Systems

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 101

Quantum mechanics of lattice gas automata: One-particle plane waves and potentials

Meyer, D. A. (1997) · Physical Review E

Cellular Automata and ApplicationsQuantum Computing Algorithms and Architecture

Cited by 101

A threat taxonomy for mHealth privacy

Kotz, D. (2011) · 2011 Third International Conference on Communication Systems and Networks (COMSNETS 2011)

Privacy-Preserving Technologies in DataMobile Health and mHealth Applications

Cited by 101

“Interacting with a conversational agent system for educational purposes in online courses.”

Song, D., Oh, E. Y., & Rice, M. (2017) · 2017 10th International Conference on Human System Interactions (HSI)

Intelligent Tutoring Systems and Adaptive LearningOnline and Blended Learning

Cited by 101

Maintaining cooperation in complex social dilemmas using deep reinforcement learning

Lerer, A., & Peysakhovich, A. (2017) · arXiv

Reinforcement Learning in RoboticsEvolutionary Game Theory and Cooperation

Cited by 101

Channel pattern noise based playback attack detection algorithm for speaker recognition

Wang, Z.-F., Wei, G., & He, Q.-H. (2011) · 2011 International Conference on Machine Learning and Cybernetics

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 101

Toward Privacy-Preserving Personalized Recommendation Services

Wang, C., Zheng, Y., Jiang, J., & Ren, K. (2018) · Engineering

Privacy-Preserving Technologies in DataRecommender Systems and Techniques

Cited by 101

Effective compiler error message enhancement for novice programming students

Becker, B. A., Glanville, G., Iwashima, R., McDonnell, C., Goslin, K., & Mooney, C. (2016) · Computer Science Education

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 101

Differentially Private Fine-tuning of Language Models

Yu, D., Naik, S., Backurs, A., Gopi, S., Inan, H. A., Kamath, G., Kulkarni, J., Lee, Y. T., Manoel, A., Wutschitz, L., et al. (2021) · arXiv

Privacy-Preserving Technologies in DataTopic Modeling

Cited by 101

Fast Transformer Decoding: One Write-Head is All You Need

Shazeer, N. (2019) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 101

Application of Blockchain to Maintaining Patient Records in Electronic Health Record for Enhanced Privacy, Scalability, and Availability

Tith, D., Lee, J.-S., Suzuki, H., Wijesundara, W. M. A. B., Taira, N., Obi, T., & Ohyama, N. (2020) · Healthcare Informatics Research

Blockchain Technology Applications and SecurityElectronic Health Records Systems

Cited by 101

Using the wayback machine to mine websites in the social sciences: A methodological resource

Arora, S. K., Li, Y., Youtie, J., & Shapira, P. (2016) · Journal of the Association for Information Science and Technology

Web Data Mining and AnalysisComputational and Text Analysis Methods

Cited by 101

Comparison of Brazilian and American norms for the International Affective Picture System (IAPS)

Ribeiro, R. L., Pompéia, S., & Bueno, O. F. A. (2005) · Revista Brasileira de Psiquiatria

Emotion and Mood RecognitionPsychological Testing and Assessment

Cited by 101

OpenEQA: Embodied Question Answering in the Era of Foundation Models

Majumdar, A., Ajay, A., Zhang, X., Putta, P., Yenamandra, S., Henaff, M., Silwal, S., Mcvay, P., Maksymets, O., Arnaud, S., et al. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 101

Investigating intelligibility for uncertain context-aware applications

Lim, B. Y., & Dey, A. K. (2011) · Proceedings of the 13th international conference on Ubiquitous computing

Usability and User Interface DesignExplainable Artificial Intelligence (XAI)

Cited by 101

A Self-Supervised Descriptor for Image Copy Detection

Pizzi, E., Roy, S. D., Ravindra, S. N., Goyal, P., & Douze, M. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Digital Media Forensic DetectionImage Retrieval and Classification Techniques

Cited by 101

Improved Knowledge Distillation via Teacher Assistant

Mirzadeh, S. I., Farajtabar, M., Li, A., Levine, N., Matsukawa, A., & Ghasemzadeh, H. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 101

Automatic Emotion Recognition Using Temporal Multimodal Deep Learning

Nakisa, B., Rastgoo, M. N., Rakotonirainy, A., Maire, F., & Chandran, V. (2020) · IEEE Access

Emotion and Mood RecognitionContext-Aware Activity Recognition Systems

Cited by 101

Automated reporting of GUI design violations for mobile apps

Moran, K., Li, B., Bernal-Cárdenas, C., Jelf, D., & Poshyvanyk, D. (2018) · Proceedings of the 40th International Conference on Software Engineering

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 101

A coarse-to-fine curvature analysis-based rotation invariant 3D face landmarking

Szeptycki, P., Ardabilian, M., & Chen, L. (2009) · 2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems

Face recognition and analysisFace and Expression Recognition

Cited by 101

Modeling deformable objects from a single depth camera

Liao, M., Zhang, Q., Wang, H., Yang, R., & Gong, M. (2009) · 2009 IEEE 12th International Conference on Computer Vision

3D Shape Modeling and AnalysisAdvanced Vision and Imaging

Cited by 101

New Laws of Robotics

Pasquale, F. (2020) · Harvard University Press eBooks

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 101