Check computer science papers: citations, claims and retractions

The hidden image of mobile apps: geographic, demographic, and cultural factors in mobile usage

Peltonen, E., Lagerspetz, E., Hamberg, J., Mehrotra, A., Musolesi, M., Nurmi, P., & Tarkoma, S. (2018) · Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services

Mobile and Web ApplicationsHuman Mobility and Location-Based Analysis

Cited by 56

Computational model underlying the one-way quantum computer

Raussendorf, R., & Briegel, H. (2002) · Quantum Information and Computation

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 56

Internet Traffic Classification for Scalable QOS Provision

Park, J., Tyan, H.-R., & Kuo, C.-C. (2006) · 2006 IEEE International Conference on Multimedia and Expo

Internet Traffic Analysis and Secure E-votingNetwork Traffic and Congestion Control

Cited by 56

Protecting Intellectual Property of Language Generation APIs with Lexical Watermark

He, X., Xu, Q., Lyu, L., Wu, F., & Wang, C. (2022) · Proceedings of the AAAI Conference on Artificial Intelligence

Adversarial Robustness in Machine LearningAdvanced Steganography and Watermarking Techniques

Cited by 56

Watermarks in stream processing systems: Semantics and comparative analysis of Apache Flink and Google Cloud Dataflow

Akidau, T., Begoli, E., Chernyak, S., Hueske, F., Knight, K., Knowles, K., Mills, D., & Sotolongo, D. (2021) · Proceedings of the VLDB Endowment

Advanced Database Systems and QueriesData Stream Mining Techniques

Cited by 56

Exploring anomalous behaviour detection and classification for insider threat identification

Le, D. C., & Zincir‐Heywood, N. (2021) · International Journal of Network Management

Network Security and Intrusion DetectionAnomaly Detection Techniques and Applications

Cited by 56

Secure Image Encryption Using Chaotic, Hybrid Chaotic and Block Cipher Approach

Chaudhary, N., Shahi, T. B., & Neupane, A. (2022) · Journal of Imaging

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 56

Anomaly Detection using Unsupervised Methods: Credit Card Fraud Case Study

Rezapour, M. (2019) · International Journal of Advanced Computer Science and Applications

Anomaly Detection Techniques and ApplicationsImbalanced Data Classification Techniques

Cited by 56

Understanding procedural content generation: a design-centric analysis of the role of PCG in games

Smith, G. (2014) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Artificial Intelligence in GamesDigital Games and Media

Cited by 56

Context-aware Alignment and Mutual Masking for 3D-Language Pre-training

Jin, Z., Hayat, M., Yang, Y., Guo, Y., & Lei, Y. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning Applications3D Shape Modeling and Analysis

Cited by 56

Delta-Net: real-time network verification using atoms

Horn, A., Kheradmand, A., & Prasad, M. R. (2017) · arXiv

Software-Defined Networks and 5GNetwork Packet Processing and Optimization

Cited by 56

Tools to support systematic reviews in software engineering: a feature analysis

Marshall, C., Brereton, P., & Kitchenham, B. (2014) · Proceedings of the 18th International Conference on Evaluation and Assessment in Software Engineering

Software Engineering Techniques and PracticesMeta-analysis and systematic reviews

Cited by 56

Moiré pattern removal from texture images via low-rank and sparse matrix decomposition

Liu, F., Yang, J., & Yue, H. (2015) · 2015 Visual Communications and Image Processing (VCIP)

Image and Signal Denoising MethodsAdvanced Image Processing Techniques

Cited by 56

Learning to Rank Proposals for Object Detection

Tan, Z., Nie, X., Qian, Q., Li, N., & Li, H. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 56

Re-examining psychological mechanisms underlying virtual reality-based exposure for spider phobia

Tardif, N., Therrien, C.-É., & Bouchard, S. (2019) · Cyberpsychology Behavior and Social Networking

Virtual Reality Applications and ImpactsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 56

Co-Creative Level Design via Machine Learning

Guzdial, M., Liao, N., & Riedl, M. (2018) · arXiv

Artificial Intelligence in GamesComputer Graphics and Visualization Techniques

Cited by 56

Enabling data processing at the network edge through lightweight virtualization technologies

Morabito, R., & Beijar, N. (2016) · 2016 IEEE International Conference on Sensing, Communication and Networking (SECON Workshops)

IoT and Edge/Fog ComputingCloud Computing and Resource Management

Cited by 56

Subspace Variational Quantum Simulator

Heya, K., Nakanishi, K. M., Mitarai, K., Yan, Z., Zuo, K., Suzuki, Y., Sugiyama, T., Tamate, S., Tabuchi, Y., Fujii, K., et al. (2019) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 56

Large Language Models (GPT) Struggle to Answer Multiple-Choice Questions about Code

Savelka, J., Agarwal, A., Bogart, C., & Sakr, M. (2023) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 56

Improved Quantum Algorithm for Triangle Finding via Combinatorial Arguments

Gall, F. L. (2014) · 2014 IEEE 55th Annual Symposium on Foundations of Computer Science

Quantum Computing Algorithms and ArchitectureComplexity and Algorithms in Graphs

Cited by 56

Mitigating risk of failure in information technology projects: Causes and mechanisms

Schmidt, J. (2023) · Project Leadership and Society

Software Engineering Techniques and PracticesConstruction Project Management and Performance

Cited by 56

SASV 2022: The First Spoofing-Aware Speaker Verification Challenge

Jung, J.-W., Tak, H., Shim, H.-J., Heo, H.-S., Lee, B.-J., Chung, S.-W., Yu, H.-J., Evans, N., & Kinnunen, T. (2022) · Interspeech 2022

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 56

Evaluating the Performance of Code Generation Models for Solving Parsons Problems With Small Prompt Variations

Reeves, B., Sarsa, S., Prather, J., Denny, P., Becker, B. A., Hellas, A., Kimmel, B., Powell, G., & Leinonen, J. (2023) · Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 56

Perceptual Video Hashing for Content Identification and Authentication

Khelifi, F., & Bouridane, A. (2019) · IEEE Transactions on Circuits and Systems for Video Technology

Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques

Cited by 56