Check computer science papers: citations, claims and retractions

The Secret Life of Pronouns. What Our Words Say About Us

Nerbonne, J. (2014) · Literary and Linguistic Computing

Authorship Attribution and ProfilingMental Health via Writing

Cited by 93

Not-so-supervised: A survey of semi-supervised, multi-instance, and transfer learning in medical image analysis

Cheplygina, V., de Bruijne, M., & Pluim, J. P. W. (2019) · Medical Image Analysis

Domain Adaptation and Few-Shot LearningMedical Image Segmentation Techniques

Cited by 93

Orchestrating explainable artificial intelligence for multimodal and longitudinal data in medical imaging

Pahud de Mortanges, A., Luo, H., Shu, S. Z., Kamath, A., Suter, Y., Shelan, M., Pöllinger, A., & Reyes, M. (2024) · npj Digital Medicine

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 93

DAC-SDC Low Power Object Detection Challenge for UAV Applications

Xu, X., Zhang, X., Yu, B., Hu, X. S., Rowen, C., Hu, J., & Shi, Y. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsEmbedded Systems and FPGA Applications

Cited by 93

Adaptive, problem-tailored variational quantum eigensolver mitigates rough parameter landscapes and barren plateaus

Grimsley, H. R., Barron, G. S., Barnes, E., Economou, S. E., & Mayhall, N. J. (2023) · npj Quantum Information

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 93

GridMM: Grid Memory Map for Vision-and-Language Navigation

Wang, Z., Li, X., Yang, J., Liu, Y., & Jiang, S. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsSpatial Cognition and Navigation

Cited by 93

Continuous AU intensity estimation using localized, sparse facial feature space

Jeni, L. A., Girard, J. M., Cohn, J. F., & De La Torre, F. (2013) · 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)

Emotion and Mood RecognitionFace recognition and analysis

Cited by 93

Wearable Communications in 5G: Challenges and Enabling Technologies

Sun, H., Zhang, Z., Hu, R. Q., & Qian, Y. (2018) · IEEE Vehicular Technology Magazine

IoT and Edge/Fog ComputingSoftware-Defined Networks and 5G

Cited by 93

Coarse-to-fine vision-language pre-training with fusion in the backbone

Dou, Z.-Y., Kamath, A., Gan, Z., Zhang, P., Wang, J., Li, L., Liu, Z., Liu, C., Lecun, Y., Peng, N., et al. (2022) · Advances in Neural Information Processing Systems 35

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 93

Delving into the Local: Dynamic Inconsistency Learning for DeepFake Video Detection

Gu, Z., Chen, Y., Yao, T., Ding, S., Li, J., & Ma, L. (2022) · Proceedings of the AAAI Conference on Artificial Intelligence

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 93

A Review on Modern Distributed Computing Paradigms: Cloud Computing, Jungle Computing and Fog Computing

Hajibaba, M., & Gorgin, S. (2014) · Journal of Computing and Information Technology

Cloud Computing and Resource ManagementDistributed and Parallel Computing Systems

Cited by 93

ATOM: Commit Message Generation Based on Abstract Syntax Tree and Hybrid Ranking

Liu, S., Gao, C., Chen, S., Nie, L. Y., & Liu, Y. (2022) · IEEE Transactions on Software Engineering

Software Engineering ResearchTopic Modeling

Cited by 93

The hidden threat of cyber-attacks – undermining public confidence in government

Shandler, R., & Gomez, M. A. (2023) · Journal of Information Technology & Politics

Information and Cyber SecurityCybersecurity and Cyber Warfare Studies

Cited by 93

ChatGPT and the Generation of Digitally Born “Knowledge”: How Does a Generative AI Language Model Interpret Cultural Heritage Values?

Spennemann, D. H. R. (2023) · Knowledge

Ethics and Social Impacts of AIArtificial Intelligence in Education

Cited by 93

Open Problems in Cooperative AI

Dafoe, A., Hughes, E., Bachrach, Y., Collins, T., McKee, K. R., Leibo, J. Z., Larson, K., & Graepel, T. (2020) · arXiv

Multi-Agent Systems and NegotiationGame Theory and Voting Systems

Cited by 93

Immersive Virtual Reality for Reducing Experimental Ischemic Pain

Hoffman, H. G., Garcia-Palacios, A., Kapa, V., Beecher, J., & Sharar, S. R. (2003) · International Journal of Human-Computer Interaction

Virtual Reality Applications and ImpactsPediatric Pain Management Techniques

Cited by 93

F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching

Chen, Y., Niu, Z., Ma, Z., Deng, K., Wang, C., Zhao, J., Yu, K., & Chen, X. (2024) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 93

An elementary social information foraging model

Pirolli, P. (2009) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 93

Boosting Privately: Federated Extreme Gradient Boosting for Mobile Crowdsensing

Liu, Y., Ma, Z., Liu, X., Ma, S., Nepal, S., Deng, R. H., & Ren, K. (2020) · 2020 IEEE 40th International Conference on Distributed Computing Systems (ICDCS)

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 93

Deep Learning Under Privileged Information Using Heteroscedastic Dropout

Lambert, J., Sener, O., & Savarese, S. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 93

When Large Language Models Meet Vector Databases: A Survey

Jing, Z., Su, Y., & Han, Y. (2025) · 2025 Conference on Artificial Intelligence x Multimedia (AIxMM)

Topic ModelingAdvanced Database Systems and Queries

Cited by 93

NVBitFI: Dynamic Fault Injection for GPUs

Tsai, T., Hari, S. K. S., Sullivan, M., Villa, O., & Keckler, S. W. (2021) · 2021 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)

Distributed systems and fault toleranceParallel Computing and Optimization Techniques

Cited by 93

FPGA-Based Real-Time Object Detection and Classification System Using YOLO for Edge Computing

Amin, R. A., Hasan, M., Wiese, V., & Obermaisser, R. (2024) · IEEE Access

Advanced Neural Network ApplicationsEmbedded Systems Design Techniques

Cited by 93

Quantifying the Impact of User Attentionon Fair Group Representation in Ranked Lists

Sapiezynski, P., Zeng, W., E Robertson, R., Mislove, A., & Wilson, C. (2019) · Companion Proceedings of The 2019 World Wide Web Conference

Ethics and Social Impacts of AIInformation Retrieval and Search Behavior

Cited by 92