Check computer science papers: citations, claims and retractions

Deepfake Detection by Exploiting Surface Anomalies: The Surfake Approach

Ciamarra, A., Caldelli, R., Becattini, F., Seidenari, L., & Del Bimbo, A. (2024) · 2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 27

Online normalizer calculation for softmax

Milakov, M., & Gimelshein, N. (2018) · arXiv

Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications

Cited by 27

Machine Learning Algorithms for Classification of First‐Trimester Fetal Brain Ultrasound Images

Gofer, S., Haik, O., Bardin, R., Gilboa, Y., & Perlman, S. (2022) · Journal of Ultrasound in Medicine

Medical Image Segmentation TechniquesFetal and Pediatric Neurological Disorders

Cited by 27

Perspectives about artificial moral agents

Martinho, A., Poulsen, A., Kroesen, M., & Chorus, C. (2021) · AI and Ethics

Ethics and Social Impacts of AIPhilosophical Ethics and Theory

Cited by 27

ScreenSpot-Pro: GUI Grounding for Professional High-Resolution Computer Use

Li, K., Meng, Z., Lin, H., Luo, Z., Tian, Y., Ma, J., Huang, Z., & Chua, T.-S. (2025) · Proceedings of the 33rd ACM International Conference on Multimedia

Multimodal Machine Learning ApplicationsInformation Retrieval and Search Behavior

Cited by 27

ELM-based spectral–spatial classification of hyperspectral images using extended morphological profiles and composite feature mappings

Argüello, F., & Heras, D. B. (2015) · International Journal of Remote Sensing

Remote-Sensing Image ClassificationMachine Learning and ELM

Cited by 27

Staircase-PIR: Universally Robust Private Information Retrieval

Bitar, R., & Rouayheb, S. E. (2018) · 2018 IEEE Information Theory Workshop (ITW)

Cryptography and Data SecurityCloud Data Security Solutions

Cited by 27

A Comprehensive Study of Mozi Botnet

Tu, T., Qin, J., Zhang, H., Chen, M., Xu, T., & Huang, Y. (2022) · International Journal of Intelligent Systems

Network Security and Intrusion DetectionAdvanced Malware Detection Techniques

Cited by 27

Shape bottlenecks and conservative flow systems [medical image analysis]

Mangin, J.-F., Regis, J., & Frouin, V. (1996) · Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis

Medical Image Segmentation TechniquesDigital Image Processing Techniques

Cited by 27

Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Snell, C., Lee, J., Xu, K., & Kumar, A. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 27

Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads

Cai, T., Li, Y., Geng, Z., Peng, H., Lee, J. D., Chen, D., & Dao, T. (2024) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 27

Raindrop detection and removal using salient visual features

Wu, Q., Zhang, W., & Vijaya Kumar, B. V. K. (2012) · 2012 19th IEEE International Conference on Image Processing

Image Enhancement TechniquesAutonomous Vehicle Technology and Safety

Cited by 27

Evaluating local open-source large language models for data extraction from unstructured reports on mechanical thrombectomy in patients with ischemic stroke

Meddeb, A., Ebert, P., Bressem, K. K., Desser, D., Dell'Orco, A., Bohner, G., Kleine, J. F., Siebert, E., Grauhan, N., Brockmann, M. A., et al. (2025) · Journal of NeuroInterventional Surgery

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 27

Evaluating Cognitive Maps and Planning in Large Language Models with CogEval

Momennejad, I., Hasanbeig, H., Frujeri, F. V., Sharma, H., Jojic, N., Palangi, H., Ness, R., & Larson, J. (2023) · Advances in Neural Information Processing Systems 36

Topic ModelingAI-based Problem Solving and Planning

Cited by 27

Landmark Breaker: Obstructing DeepFake By Disturbing Landmark Extraction

Sun, P., Li, Y., Qi, H., & Lyu, S. (2020) · 2020 IEEE International Workshop on Information Forensics and Security (WIFS)

Digital Media Forensic DetectionFace recognition and analysis

Cited by 27

StuA: An Intelligent Student Assistant

Lodhi, P., Mishra, O., Jain, S., & Bajaj, V. (2018) · International Journal of Interactive Multimedia and Artificial Intelligence

Edcuational Technology SystemsArtificial Intelligence in Education

Cited by 27

Digital-Analog Quantum Simulations Using the Cross-Resonance Effect

Gonzalez-Raya, T., Asensio-Perea, R., Martin, A., Céleri, L. C., Sanz, M., Lougovski, P., & Dumitrescu, E. F. (2021) · PRX Quantum

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 27

Predictive Comment Updating With Heuristics and AST-Path-Based Neural Learning: A Two-Phase Approach

Lin, B., Wang, S., Liu, Z., Xia, X., & Mao, X. (2023) · IEEE Transactions on Software Engineering

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 27

An approach for real-time stress-trend detection using physiological signals in wearable computing systems for automotive drivers

Singh, R. R., Conjeti, S., & Banerjee, R. (2011) · 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC)

Emotion and Mood RecognitionNon-Invasive Vital Sign Monitoring

Cited by 27

Additive Explanations for Anomalies Detected from Multivariate Temporal Data

Giurgiu, I., & Schumann, A. (2019) · Proceedings of the 28th ACM International Conference on Information and Knowledge Management

Explainable Artificial Intelligence (XAI)Anomaly Detection Techniques and Applications

Cited by 27

∞Bench: Extending Long Context Evaluation Beyond 100K Tokens

Zhang, X., Chen, Y., Hu, S., Xu, Z., Chen, J., Hao, M., Han, X., Thai, Z., Wang, S., Liu, Z., et al. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 27

Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models

Ma, J., Gao, Z., Chai, Q., Sun, W., Wang, P., Pei, H., Tao, J., Song, L., Liu, J., Zhang, C., et al. (2025) · Proceedings of the AAAI Conference on Artificial Intelligence

Topic ModelingAdvanced Graph Neural Networks

Cited by 27

Towards quantifying the cost of a secure IoT: Overhead and energy consumption of ECC signatures on an ARM-based device

Mossinger, M., Petschkuhn, B., Bauer, J., Staudemeyer, R. C., Wojcik, M., & Pohls, H. C. (2016) · 2016 IEEE 17th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM)

IoT and Edge/Fog ComputingCryptographic Implementations and Security

Cited by 27

Decentralized Privacy-preserving Timed Execution in Blockchain-based Smart Contract Platforms

Li, C., & Palanisamy, B. (2019) · arXiv

Blockchain Technology Applications and SecurityCryptography and Data Security

Cited by 27