Check computer science papers: citations, claims and retractions

Predicting happiness: user interactions and sentiment analysis in an online travel forum

Neidhardt, J., Rümmele, N., & Werthner, H. (2017) · Information Technology & Tourism

Sentiment Analysis and Opinion MiningDigital Marketing and Social Media

Cited by 61

Mark My Words: Analyzing and Evaluating Language Model Watermarks

Piet, J., Sitawarin, C., Fang, V., Mu, N., & Wagner, D. (2023) · arXiv

Advanced Steganography and Watermarking TechniquesAdversarial Robustness in Machine Learning

Cited by 61

Demanding by Design: Supporting Effortful Communication Practices in Close Personal Relationships

Kelly, R., Gooch, D., Patil, B., & Watts, L. (2017) · Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing

Innovative Human-Technology InteractionDigital Communication and Language

Cited by 61

Coherence in logical quantum channels

Iverson, J. K., & Preskill, J. (2020) · New Journal of Physics

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 61

Interface and interaction design: How mobile touch devices foster cognitive offloading

Grinschgl, S., Meyerhoff, H. S., & Papenmeier, F. (2020) · Computers in Human Behavior

Interactive and Immersive DisplaysUsability and User Interface Design

Cited by 61

A Semi-Supervised VAE Based Active Anomaly Detection Framework in Multivariate Time Series for Online Systems

Huang, T., Chen, P., & Li, R. (2022) · Proceedings of the ACM Web Conference 2022

Software System Performance and ReliabilityAnomaly Detection Techniques and Applications

Cited by 61

Ethical challenges of using virtual environments in the assessment and treatment of psychopathological disorders

Parsons, T. D. (2021) · Journal of Clinical Medicine

Virtual Reality Applications and ImpactsNeuroethics, Human Enhancement, Biomedical Innovations

Cited by 61

Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task

Li, K., Hopkins, A. K., Bau, D., Viégas, F., Pfister, H., & Wattenberg, M. (2022) · arXiv

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Games

Cited by 61

Memory-Augmented Reinforcement Learning for Image-Goal Navigation

Mezghan, L., Sukhbaatar, S., Lavril, T., Maksymets, O., Batra, D., Bojanowski, P., & Alahari, K. (2022) · 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Reinforcement Learning in RoboticsRobotics and Sensor-Based Localization

Cited by 61

Is Conditional Generative Modeling all you need for Decision-Making?

Ajay, A., Du, Y., Gupta, A., Tenenbaum, J., Jaakkola, T., & Agrawal, P. (2022) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 61

UR Channel-Robust Synthetic Speech Detection System for ASVspoof 2021

Chen, X., Zhang, Y., Zhu, G., & Duan, Z. (2021) · 2021 Edition of the Automatic Speaker Verification and Spoofing Countermeasures Challenge

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 61

Is Out-Of-Distribution Detection Learnable?

Fang, Z., Li, Y., Lu, J., Dong, J., Han, B., & Liu, F. (2022) · Advances in Neural Information Processing Systems 35

Adversarial Robustness in Machine LearningAnomaly Detection Techniques and Applications

Cited by 61

Explainable machine learning practices: opening another black box for reliable medical AI

Ratti, E., & Graves, M. (2022) · AI and Ethics

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 61

The Shape Boltzmann Machine: A strong model of object shape

Eslami, S. M. A., Heess, N., & Winn, J. (2012) · 2012 IEEE Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsNeural Networks and Applications

Cited by 61

How social engineers use persuasion principles during vishing attacks

Jones, K. S., Armstrong, M. E., Tornblad, M. K., & Siami Namin, A. (2021) · Information & Computer Security

Spam and Phishing DetectionInformation and Cyber Security

Cited by 61

Smoke Screener or Straight Shooter: Detecting Elite Sybil Attacks in User-Review Social Networks

Zheng, H., Xue, M., Lu, H., Hao, S., Zhu, H., Liang, X., & Ross, K. (2018) · Proceedings 2018 Network and Distributed System Security Symposium

Spam and Phishing DetectionMisinformation and Its Impacts

Cited by 61

Prediction of emergency department revisits using area-level social determinants of health measures and health information exchange information

Vest, J. R., & Ben-Assuli, O. (2019) · International Journal of Medical Informatics

Machine Learning in HealthcareEmergency and Acute Care Studies

Cited by 61

Factors Influencing Students' Help-Seeking Behavior while Programming with Human and Computer Tutors

Price, T. W., Liu, Z., Cateté, V., & Barnes, T. (2017) · Proceedings of the 2017 ACM Conference on International Computing Education Research

Teaching and Learning ProgrammingIntelligent Tutoring Systems and Adaptive Learning

Cited by 61

Worship, Faith, and Evangelism: Religion as an Ideological Lens for Engineering Worlds

Ames, M. G., Rosner, D. K., & Erickson, I. (2015) · Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing

Open Source Software InnovationsInnovation, Technology, and Society

Cited by 61

PUMA: Performance Unchanged Model Augmentation for Training Data Removal

Wu, G., Hashemi, M., & Srinivasa, C. (2022) · Proceedings of the AAAI Conference on Artificial Intelligence

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 61

Resource and Deadline-Aware Job Scheduling in Dynamic Hadoop Clusters

Cheng, D., Rao, J., Jiang, C., & Zhou, X. (2015) · 2015 IEEE International Parallel and Distributed Processing Symposium

Cloud Computing and Resource ManagementReal-Time Systems Scheduling

Cited by 61

Social issues in requirements engineering

Goguen, J. A. (2002) · [1993] Proceedings of the IEEE International Symposium on Requirements Engineering

Software Engineering Techniques and PracticesAdvanced Software Engineering Methodologies

Cited by 61

Consistent Estimators for Learning to Defer to an Expert

Mozannar, H., & Sontag, D. (2020) · arXiv

Machine Learning and AlgorithmsMachine Learning and Data Classification

Cited by 61

A Robust Audio Deepfake Detection System via Multi-View Feature

Yang, Y., Qin, H., Zhou, H., Wang, C., Guo, T., Han, K., & Wang, Y. (2024) · ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 61