Check computer science papers: citations, claims and retractions

An Integrated CNN-BiLSTM-Transformer Framework for Improved Anomaly Detection Using Surveillance Videos

Natha, S., Siraj, M., Ahmed, F., Altamimi, M., & Syed, M. (2025) · IEEE Access

Anomaly Detection Techniques and ApplicationsHuman Pose and Action Recognition

Cited by 22

The EOS Decision and Length Extrapolation

Newman, B., Hewitt, J., Liang, P., & Manning, C. D. (2020) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 22

Insider Threats Detection Using CNN-LSTM Model

Saaudi, A., Al-Ibadi, Z., Tong, Y., & Farkas, C. (2018) · 2018 International Conference on Computational Science and Computational Intelligence (CSCI)

Network Security and Intrusion DetectionInformation and Cyber Security

Cited by 22

Impact of transfer learning methods and dataset characteristics on generalization in birdsong classification

Ghani, B., Kalkman, V. J., Planqué, B., Vellinga, W.-P., Gill, L., & Stowell, D. (2025) · Scientific Reports

Music and Audio ProcessingAnimal Vocal Communication and Behavior

Cited by 22

Weakly Supervised Deep Learning Predicts Immunotherapy Response in Solid Tumors Based on PD-L1 Expression

Ligero, M., Serna, G., El Nahhas, O. S. M., Sansano, I., Mauchanski, S., Viaplana, C., Calderaro, J., Toledo, R. A., Dienstmann, R., Vanguri, R. S., et al. (2024) · Cancer Research Communications

AI in cancer detectionCancer Immunotherapy and Biomarkers

Cited by 22

Using CodeBrowser to seek differences between novice programmers

Heinonen, K., Hirvikoski, K., Luukkainen, M., & Vihavainen, A. (2014) · Proceedings of the 45th ACM technical symposium on Computer science education

Teaching and Learning ProgrammingOnline Learning and Analytics

Cited by 22

Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?

Tomasev, N., Bica, I., McWilliams, B., Buesing, L., Pascanu, R., Blundell, C., & Mitrovic, J. (2022) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 22

Interpretability Needs a New Paradigm

Madsen, A., Lakkaraju, H., Reddy, S., & Chandar, S. (2024) · arXiv

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

Cited by 22

Intelligent Decision Support System for Dementia Care Through Smart Home

Gayathri, K. S., & Easwarakumar, K. S. (2016) · Procedia Computer Science

Context-Aware Activity Recognition SystemsDementia and Cognitive Impairment Research

Cited by 22

Understanding Incentivized Mobile App Installs on Google Play Store

Farooqi, S., Feal, Á., Lauinger, T., McCoy, D., Shafiq, Z., & Vallina-Rodriguez, N. (2020) · Proceedings of the ACM Internet Measurement Conference

Spam and Phishing DetectionMobile and Web Applications

Cited by 22

Multi-Party evolutionary game analysis of accounts receivable financing under the application of central bank digital currency

Zhang, Q., Yang, D., & Qin, J. (2023) · Journal of theoretical and applied electronic commerce research

Blockchain Technology Applications and SecuritySupply Chain and Inventory Management

Cited by 22

An NFV-Based Video Quality Assessment Method over 5G Small Cell Networks

Kourtis, M.-A., Koumaras, H., Xilouris, G., & Liberal, F. (2017) · IEEE MultiMedia

Image and Video Quality AssessmentSoftware-Defined Networks and 5G

Cited by 22

ERA-CoT: Improving Chain-of-Thought through Entity Relationship Analysis

Liu, Y., Peng, X., Du, T., Yin, J., Liu, W., & Zhang, X. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 22

Bird and whale species identification using sound images

Nanni, L., Aguiar, R. L., Costa, Y. M. G., Brahnam, S., Silla, C. N., Brattin, R. L., & Zhao, Z. (2018) · IET Computer Vision

Music and Audio ProcessingAnimal Vocal Communication and Behavior

Cited by 22

How to Solve Problems with Crowds: A Computer‐Based Simulation Model

Vuculescu, O., & Bergenholtz, C. (2014) · Creativity and Innovation Management

Open Source Software InnovationsMobile Crowdsensing and Crowdsourcing

Cited by 22

Data Compression for Multi-Parameter Estimation for Emitter Location

Chen, M., & Fowler, M. L. (2010) · IEEE Transactions on Aerospace and Electronic Systems

Distributed Sensor Networks and Detection AlgorithmsTarget Tracking and Data Fusion in Sensor Networks

Cited by 22

Mitigating social engineering for improved cybersecurity

Osuagwu, E. U., Chukwudebe, G. A., Salihu, T., & Chukwudebe, V. N. (2015) · 2015 International Conference on Cyberspace (CYBER-Abuja)

Information and Cyber SecuritySpam and Phishing Detection

Cited by 22

Methods and Metrics for Evaluating Analytic Insider Threat Tools

Greitzer, F. L., & Ferryman, T. A. (2013) · 2013 IEEE Security and Privacy Workshops

Information and Cyber SecurityNetwork Security and Intrusion Detection

Cited by 22

A spectral sequence for parallelized persistence

Lipsky, D., Skraba, P., & Vejdemo-Johansson, M. (2011) · arXiv

Topological and Geometric Data AnalysisHomotopy and Cohomology in Algebraic Topology

Cited by 22

The unremarked optimum: whiteness, optimization, and control in the database revolution

Stevens, N., Hoffmann, A. L., & Florini, S. (2021) · Review of Communication

Ethics and Social Impacts of AICybernetics and Technology in Society

Cited by 22

Generative Information Retrieval

Najork, M. (2023) · Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval

Information Retrieval and Search BehaviorTopic Modeling

Cited by 22

Investigating Sex Differences in Classification of Five Emotions from EEG and Eye Movement Signals

Bao, L.-Q., Qiu, J.-L., Tang, H., Zheng, W.-L., & Lu, B.-L. (2019) · 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Emotion and Mood RecognitionEEG and Brain-Computer Interfaces

Cited by 22

Swin-Fake: A Consistency Learning Transformer-Based Deepfake Video Detector

Gong, L. Y., Li, X. J., & Chong, P. H. J. (2024) · Electronics

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 22

The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus

Piktus, A., Petroni, F., Karpukhin, V., Okhonko, D., Broscheit, S., Izacard, G., Lewis, P., Oğuz, B., Grave, E., Yih, W.-T., et al. (2021) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 22