Check computer science papers: citations, claims and retractions

Learning Deep Multimodal Feature Representation with Asymmetric Multi-layer Fusion

Wang, Y., Sun, F., Lu, M., & Yao, A. (2020) · Proceedings of the 28th ACM International Conference on Multimedia

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 68

Digital identity for development: The quest for justice and a research agenda

Masiero, S., & Bailur, S. (2021) · Information Technology for Development

ICT in Developing CommunitiesPrivacy, Security, and Data Protection

Cited by 68

Classification of Insider Threat Detection Techniques

Sanzgiri, A., & Dasgupta, D. (2016) · Proceedings of the 11th Annual Cyber and Information Security Research Conference

Information and Cyber SecurityNetwork Security and Intrusion Detection

Cited by 68

Towards simultaneous recognition, localization and mapping for hand-held and wearable cameras

Castle, R. O., Gawley, D. J., Klein, G., & Murray, D. W. (2007) · Proceedings 2007 IEEE International Conference on Robotics and Automation

Robotics and Sensor-Based LocalizationAdvanced Image and Video Retrieval Techniques

Cited by 68

The alignment problem from a deep learning perspective

Ngo, R., Chan, L., & Mindermann, S. (2022) · arXiv

Ethics and Social Impacts of AIPsychiatry, Mental Health, Neuroscience

Cited by 68

Human Effort and Machine Learnability in Computer Aided Translation

Green, S., Wang, S. I., Chuang, J., Heer, J., Schuster, S., & Manning, C. D. (2014) · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Natural Language Processing TechniquesTranslation Studies and Practices

Cited by 68

Generative Agent-Based Modeling: Unveiling Social System Dynamics through Coupling Mechanistic Models with Generative Artificial Intelligence

Ghaffarzadegan, N., Majumdar, A., Williams, R., & Hosseinichimeh, N. (2023) · arXiv

Multi-Agent Systems and NegotiationSimulation Techniques and Applications

Cited by 68

Acoustic Source Localization Based on Generalized Cross-correlation Time-delay Estimation

Chen, L., Liu, Y., Kong, F., & He, N. (2011) · Procedia Engineering

Speech and Audio ProcessingDirection-of-Arrival Estimation Techniques

Cited by 68

Training-Free Consistent Text-to-Image Generation

Tewel, Y., Kaduri, O., Gal, R., Kasten, Y., Wolf, L., Chechik, G., & Atzmon, Y. (2024) · ACM Transactions on Graphics

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 68

Analysis Based on Recent Deep Learning Approaches Applied in Real-Time Multi-Object Tracking: A Review

Kalake, L., Wan, W., & Hou, L. (2021) · IEEE Access

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 68

VACE: All-in-One Video Creation and Editing

Jiang, Z., Han, Z., Mao, C., Zhang, J., Pan, Y., & Liu, Y. (2025) · 2025 IEEE/CVF International Conference on Computer Vision (ICCV)

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 68

Effective Crowd Annotation for Relation Extraction

Liu, A., Soderland, S., Bragg, J., Lin, C. H., Ling, X., & Weld, D. S. (2016) · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Natural Language Processing TechniquesTopic Modeling

Cited by 68

From computer ethics and the ethics of AI towards an ethics of digital ecosystems

Stahl, B. C. (2022) · AI and Ethics

Ethics and Social Impacts of AICybernetics and Technology in Society

Cited by 68

Classification with Quantum Machine Learning: A Survey

Abohashima, Z., Elhosen, M., Houssein, E. H., & Mohamed, W. M. (2020) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 68

An overview of face liveness detection

Chakraborty, S., & Das, D. (2014) · International Journal on Information Theory

Biometric Identification and SecurityFace recognition and analysis

Cited by 68

Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs

Tong, S., Brown, E., Wu, P., Woo, S., Middepogu, M., Akula, S. C., Yang, J., Yang, S., Iyer, A., Pan, X., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 68

5G-Crosshaul Network Slicing: Enabling Multi-Tenancy in Mobile Transport Networks

Li, X., Casellas, R., Landi, G., de la Oliva, A., Costa-Perez, X., Garcia-Saavedra, A., Deiss, T., Cominardi, L., & Vilalta, R. (2017) · IEEE Communications Magazine

Software-Defined Networks and 5GAdvanced Optical Network Technologies

Cited by 68

The Role of HCI in the Age of AI

Harper, R. H. R. (2019) · International Journal of Human–Computer Interaction

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 68

Liberating effects with rows and handlers

Hillerström, D., & Lindley, S. (2016) · Proceedings of the 1st International Workshop on Type-Driven Development

Logic, programming, and type systemsTeaching and Learning Programming

Cited by 68

Bayesian convolutional neural network based MRI brain extraction on nonhuman primates

Zhao, G., Liu, F., Oler, J. A., Meyerand, M. E., Kalin, N. H., & Birn, R. M. (2018) · NeuroImage

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 68

Interpretable algorithmic forensics

Garrett, B. L., & Rudin, C. (2023) · Proceedings of the National Academy of Sciences

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

Cited by 68

Maritime cybersecurity: are onboard systems ready?

Kanwal, K., Shi, W., Kontovas, C., Yang, Z., & Chang, C.-H. (2024) · Maritime Policy & Management

Information and Cyber SecurityMaritime Security and History

Cited by 68

Prompt Engineering for Large Language Models

Gao, A. (2023) · SSRN Electronic Journal

Topic ModelingNatural Language Processing Techniques

Cited by 68

A Practical Survey on Zero-shot Prompt Design for In-context Learning

Columbia University, N. Y. C., & Li, Y. (2023) · Proceedings of the Conference Recent Advances in Natural Language Processing - Large Language Models for Natural Language Processings

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 68