Check computer science papers: citations, claims and retractions

Contrastive pre-training and linear interaction attention-based transformer for universal medical reports generation

Lin, Z., Zhang, D., Shi, D., Xu, R., Tao, Q., Wu, L., He, M., & Ge, Z. (2023) · Journal of Biomedical Informatics

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 39

The inviscid text entry rate and its application as a grand goal for mobile text entry

Kristensson, P. O., & Vertanen, K. (2014) · Proceedings of the 16th international conference on Human-computer interaction with mobile devices & services

Usability and User Interface DesignInteractive and Immersive Displays

Cited by 39

Looking Beyond Sentence-Level Natural Language Inference for Question Answering and Text Summarization

Mishra, A., Patel, D., Vijayakumar, A., Li, X. L., Kapanipathi, P., & Talamadupula, K. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Topic ModelingNatural Language Processing Techniques

Cited by 39

Studying the Inductive Biases of RNNs with Synthetic Variations of Natural Languages

Ravfogel, S., Goldberg, Y., & Linzen, T. (2019) · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 39

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors

Chen, W., Su, Y., Zuo, J., Yang, C., Yuan, C., Chan, C.-M., Yu, H., Lu, Y., Hung, Y.-H., Qian, C., et al. (2023) · arXiv

Multi-Agent Systems and NegotiationDistributed Control Multi-Agent Systems

Cited by 39

The interrelation between data and AI ethics in the context of impact assessments

Kazim, E., & Koshiyama, A. (2021) · AI and Ethics

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 39

Weaknesses of the ISO/IEC 14443 protocol regarding relay attacks

Issovits, W., & Hutter, M. (2011) · 2011 IEEE International Conference on RFID-Technologies and Applications

RFID technology advancementsAdvanced Authentication Protocols Security

Cited by 39

Phishing with Malicious QR Codes

Sharevski, F., Devine, A., Pieroni, E., & Jachim, P. (2022) · Proceedings of the 2022 European Symposium on Usable Security

Spam and Phishing DetectionUser Authentication and Security Systems

Cited by 39

An Integration Architecture to Enable Service Providers for Self-sovereign Identity

Gruner, A., Muhle, A., & Meinel, C. (2019) · 2019 IEEE 18th International Symposium on Network Computing and Applications (NCA)

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 39

Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning

Cui, Y., Deng, W., Chen, H., & Liu, L. (2024) · IEEE Transactions on Neural Networks and Learning Systems

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 39

Evaluating Login Challenges as aDefense Against Account Takeover

Doerfler, P., Thomas, K., Marincenko, M., Ranieri, J., Jiang, Y., Moscicki, A., & McCoy, D. (2019) · The World Wide Web Conference

User Authentication and Security SystemsSpam and Phishing Detection

Cited by 39

Neural algorithmic reasoning

Veličković, P., & Blundell, C. (2021) · Patterns

Neural Networks and ApplicationsArtificial Intelligence Applications

Cited by 39

Leveraging automated unit tests for unsupervised code translation

Roziere, B., Zhang, J. M., Charton, F., Harman, M., Synnaeve, G., & Lample, G. (2021) · arXiv

Software Engineering ResearchNatural Language Processing Techniques

Cited by 39

A visually secure asymmetric image encryption scheme based on RSA algorithm and hyperchaotic map

Xu, Q., Sun, K., & Zhu, C. (2020) · Physica Scripta

Chaos-based Image/Signal EncryptionAdvanced Steganography and Watermarking Techniques

Cited by 39

Corking by Forking: Vulnerability Analysis of Blockchain

Wang, S., Wang, C., & Hu, Q. (2019) · IEEE INFOCOM 2019 - IEEE Conference on Computer Communications

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 39

Towards Understanding and Detecting Cyberbullying in Real-world Images

Vishwamitra, N., Hu, H., Luo, F., & Cheng, L. (2021) · Proceedings 2021 Network and Distributed System Security Symposium

Hate Speech and Cyberbullying DetectionMisinformation and Its Impacts

Cited by 39

Multimodal Deep Learning using Images and Text for Information Graphic Classification

Kim, E., & McCoy, K. F. (2018) · Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility

Multimodal Machine Learning ApplicationsImage Retrieval and Classification Techniques

Cited by 39

Bit: Robustly binarized multi-distilled transformer

Liu, Z., Oguz, B., Pappu, A., Xiao, L., Yih, S., Li, M., Krishnamoorthi, R., & Mehdad, Y. (2022) · Advances in Neural Information Processing Systems 35

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 39

Feature weighting in DBSCAN using reverse nearest neighbours

Chowdhury, S., Helian, N., & Cordeiro de Amorim, R. (2023) · Pattern Recognition

Advanced Clustering Algorithms ResearchData Management and Algorithms

Cited by 39

Concept-Aware Video Captioning: Describing Videos With Effective Prior Information

Yang, B., Cao, M., & Zou, Y. (2023) · IEEE Transactions on Image Processing

Multimodal Machine Learning ApplicationsVideo Analysis and Summarization

Cited by 39

Two-parameter counter-diabatic driving in quantum annealing

Prielinger, L., Hartmann, A., Yamashiro, Y., Nishimura, K., Lechner, W., & Nishimori, H. (2021) · Physical Review Research

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 39

Visual Semantic Information Pursuit: A Survey

Liu, D., Bober, M., & Kittler, J. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 39

Horizontal Review on Video Surveillance for Smart Cities: Edge Devices, Applications, Datasets, and Future Trends

Ezzat, M. A., Abd El Ghany, M. A., Almotairi, S., & Salem, M. A.-M. (2021) · Sensors

IoT and Edge/Fog ComputingVideo Surveillance and Tracking Methods

Cited by 39

STewARD:SDN and blockchain-based Trust evaluation for Automated Risk management on IoT Devices

Boussard, M., Papillon, S., Peloso, P., Signorini, M., & Waisbard, E. (2019) · IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

Blockchain Technology Applications and SecurityIoT and Edge/Fog Computing

Cited by 39