Check computer science papers: citations, claims and retractions

A General Approach to Domain Adaptation with Applications in Astronomy

Vilalta, R., Gupta, K. D., Boumber, D., & Meskhi, M. M. (2019) · Publications of the Astronomical Society of the Pacific

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 11

Task Automation Intelligent Agents: A Review

Wali, A., Mahamad, S., & Sulaiman, S. (2023) · Future Internet

Usability and User Interface DesignSpeech and dialogue systems

Cited by 11

Stabilizing the Industrial System: Managed Security Services’ Contribution to Cyber-Peace

Jansen, C. (2017) · IFAC-PapersOnLine

Information and Cyber SecurityCybersecurity and Cyber Warfare Studies

Cited by 11

Towards causal algorithmic recourse

Karimi, A.-H., von Kügelgen, J., Schölkopf, B., & Valera, I. (2022) · Lecture Notes in Computer Science

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

Cited by 11

Effects of the Uncertainty of Interpersonal Communications on Behavioral Responses of the Participants in an Immersive Virtual Reality Experience: A Usability Study

Hajahmadi, S., & Marfia, G. (2023) · Sensors

Virtual Reality Applications and ImpactsSocial Robot Interaction and HRI

Cited by 11

Better Harnesses, Smaller Models: Building 90% Cheaper Agents via Automated Harness Adaptation

Yang, C., Zhao, X., Wu, T., & Kästner, C. (2026) · arXiv

Artificial Intelligence ApplicationsNatural Language Processing Techniques

Cited by 11

Current and future applications of artificial intelligence in lung cancer and mesothelioma

Roche, J. J., Seyedshahi, F., Rakovic, K., Thu, A. W., Le Quesne, J., & Blyth, K. G. (2025) · Thorax

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 11

What if properties are owned by No one or everyone? Foundation of blockchain enabled engineered ownership

Wang, H., Hunhevicz, J., & Hall, D. (2022) · Computing in Construction

Blockchain Technology Applications and SecurityDigital Rights Management and Security

Cited by 11

Windowed quantum arithmetic

Gidney, C. (2019) · arXiv

Quantum Computing Algorithms and ArchitectureCryptography and Residue Arithmetic

Cited by 11

ADVANCED MACHINE LEARNING TECHNIQUES FOR CYBERSECURITY: OPPORTUNITIES AND EMERGING CHALLENGES

Master of Science in Department of Electrical Engineering, L. U., Roopesh, M., Nishat, N., Master of Science in Management Information Systems, C. O. B., Rasetti, S., Master of Science in Department of Electrical Engineering, L. U., Hossain, M. A., & Master of Science in Management Information Systems, C. O. B. (2024) · International journal of science and engineering

Network Security and Intrusion DetectionSpam and Phishing Detection

Cited by 11

Leveraging towards Privacy-preserving using Federated Machine Learning for Healthcare Systems

Gandhi, N., Mishra, S., Bharti, S. K., & Bhagat, K. (2021) · 2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)

Privacy-Preserving Technologies in DataMachine Learning in Healthcare

Cited by 11

EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models

Yang, Y., Wang, Y., Wen, Z., Zhongwei, L., Zou, C., Zhang, Z., Wen, C., & Zhang, L. (2025) · arXiv

Advanced Neural Network ApplicationsMultimodal Machine Learning Applications

Cited by 11

A real-time ciphering transcoder for H.264 and HEVC streams

Boyadjis, B., Perrin, M.-E., Bergeron, C., & Lecomte, S. (2014) · 2014 IEEE International Conference on Image Processing (ICIP)

Video Coding and Compression TechnologiesChaos-based Image/Signal Encryption

Cited by 11

SmolVLM: Redefining small and efficient multimodal models

Marafioti, A., Zohar, O., Farré, M., Noyan, M., Bakouch, E., Cuenca, P., Zakka, C., Allal, L. B., Lozhkov, A., Tazi, N., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 11

Challenges and Limitations of Using Artificial Intelligence Generated Content (AIGC) with ChatGPT in Programming Curriculum: A Systematic Literature Review

Chang, C. I., Choi, W. C., & Choi, I. C. (2024) · Proceedings of the 2024 7th Artificial Intelligence and Cloud Computing Conference

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 11

A Hybrid Deep Learning Approach to Network Traffic Anomaly Detection Enhanced by SHAP and LIME Interpretability

Verma, S., & Prabakeran, S. (2025) · 2025 8th International Conference on Trends in Electronics and Informatics (ICOEI)

Network Security and Intrusion DetectionInternet Traffic Analysis and Secure E-voting

Cited by 11

Model Similarity Mitigates Test Set Overuse

Mania, H., Miller, J., Schmidt, L., Hardt, M., & Recht, B. (2019) · arXiv

Machine Learning and Data ClassificationStochastic Gradient Optimization Techniques

Cited by 11

Improved Accuracy in Predicting the Best Sensor Fusion Architecture for Multiple Domains

Molino-Minero-Re, E., Aguileta, A. A., Brena, R. F., & Garcia-Ceja, E. (2021) · Sensors

Target Tracking and Data Fusion in Sensor NetworksInertial Sensor and Navigation

Cited by 11

A Low Energy Profile: Analysing Characteristic Security on BLE Peripherals

Sivakumaran, P., & Blasco Alis, J. (2018) · Proceedings of the Eighth ACM Conference on Data and Application Security and Privacy

Bluetooth and Wireless Communication TechnologiesSecurity and Verification in Computing

Cited by 11

Sources of Human Error in Data Entry Tasks Using Speech Input

Frankish, C., & Noyes, J. (1990) · Human Factors: The Journal of the Human Factors and Ergonomics Society

Speech and dialogue systemsUsability and User Interface Design

Cited by 11

BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models

Ben-Zaken, E., Ravfogel, S., & Goldberg, Y. (2021) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 11

Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability

Geiger, A., Ibeling, D., Zur, A., Chaudhary, M., Chauhan, S., Huang, J., Arora, A., Wu, Z., Goodman, N., Potts, C., et al. (2023) · arXiv

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 11

Insights Into Incitement: A Computational Perspective on Dangerous Speech on Twitter in India

Dash, S., Grover, R., Shekhawat, G., Kaur, S., Mishra, D., & Pal, J. (2022) · ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS)

Hate Speech and Cyberbullying DetectionMisinformation and Its Impacts

Cited by 11

Deduplicating Training Data Makes Language Models Better

Lee, K., Ippolito, D., Nystrom, A., Zhang, C., Eck, D., Callison-Burch, C., & Carlini, N. (2021) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 11