Check computer science papers: citations, claims and retractions

Hypothetical Outcome Plots Help Untrained Observers Judge Trends in Ambiguous Data

Kale, A., Nguyen, F., Kay, M., & Hullman, J. (2019) · IEEE Transactions on Visualization and Computer Graphics

Data Visualization and AnalyticsVisual and Cognitive Learning Processes

Cited by 122

Efficient Encryption From Random Quasi-Cyclic Codes

Aguilar-Melchor, C., Blazy, O., Deneuville, J.-C., Gaborit, P., & Zemor, G. (2018) · IEEE Transactions on Information Theory

Cryptography and Data SecurityCoding theory and cryptography

Cited by 122

A 0.32–128 TOPS, Scalable Multi-Chip-Module-Based Deep Neural Network Inference Accelerator With Ground-Referenced Signaling in 16 nm

Zimmer, B., Venkatesan, R., Shao, Y. S., Clemons, J., Fojtik, M., Jiang, N., Keller, B., Klinefelter, A., Pinckney, N., Raina, P., et al. (2020) · IEEE Journal of Solid-State Circuits

Advanced Neural Network ApplicationsInterconnection Networks and Systems

Cited by 122

Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images

Lu, M. Y., Chen, B., Zhang, A., Williamson, D. F. K., Chen, R. J., Ding, T., Le, L. P., Chuang, Y.-S., & Mahmood, F. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

AI in cancer detectionMultimodal Machine Learning Applications

Cited by 122

Pre-trained language model representations for language generation

Edunov, S., Baevski, A., & Auli, M. (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)

Topic ModelingNatural Language Processing Techniques

Cited by 122

On generating trustworthy counterfactual explanations

Del Ser, J., Barredo-Arrieta, A., Díaz-Rodríguez, N., Herrera, F., Saranti, A., & Holzinger, A. (2024) · Information Sciences

Explainable Artificial Intelligence (XAI)Adversarial Robustness in Machine Learning

Cited by 122

Where there's a will there's a way: mobile media sharing in urban india

Smyth, T. N., Kumar, S., Medhi, I., & Toyama, K. (2010) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

ICT in Developing CommunitiesICT Impact and Policies

Cited by 122

Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks

Räuker, T., Ho, A., Casper, S., & Hadfield-Menell, D. (2023) · 2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)

Explainable Artificial Intelligence (XAI)Adversarial Robustness in Machine Learning

Cited by 122

Hyperparameter ensembles for robustness and uncertainty quantification

Wenzel, F., Snoek, J., Tran, D., & Jenatton, R. (2020) · arXiv

Machine Learning and Data ClassificationAdversarial Robustness in Machine Learning

Cited by 122

Forgetting Outside the Box: Scrubbing Deep Networks of Information Accessible from Input-Output Observations

Golatkar, A., Achille, A., & Soatto, S. (2020) · Lecture Notes in Computer Science

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 122

Generative AI and the politics of visibility

Gillespie, T. (2024) · Big Data & Society

Ethics and Social Impacts of AITechnology's Impact on Media

Cited by 122

G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering

He, X., Tian, Y., Sun, Y., Chawla, N. V., Laurent, T., LeCun, Y., Bresson, X., & Hooi, B. (2024) · arXiv

Topic ModelingAdvanced Graph Neural Networks

Cited by 122

Blockchain-Enabled Internet of Medical Things to Combat COVID-19

Dai, H.-N., Imran, M., & Haider, N. (2020) · IEEE Internet of Things Magazine

Blockchain Technology Applications and SecurityInternet of Things and AI

Cited by 122

Blockchain-Based Federated Learning With SMPC Model Verification Against Poisoning Attack for Healthcare Systems

Kalapaaking, A. P., Khalil, I., & Yi, X. (2024) · IEEE Transactions on Emerging Topics in Computing

Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security

Cited by 122

Efficient Sequence Packing without Cross-contamination: Accelerating Large Language Models without Impacting Performance

Krell, M. M., Kosec, M., Perez, S. P., & Fitzgibbon, A. (2021) · arXiv

Topic ModelingParallel Computing and Optimization Techniques

Cited by 122

Context Recognition In-the-Wild: Unified Model for Multi-Modal Sensors and Multi-Label Classification

Vaizman, Y., Weibel, N., & Lanckriet, G. (2018) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsHuman Mobility and Location-Based Analysis

Cited by 122

Grover Mixers for QAOA: Shifting Complexity from Mixer Design to State Preparation

Bartschi, A., & Eidenbenz, S. (2020) · 2020 IEEE International Conference on Quantum Computing and Engineering (QCE)

Quantum Computing Algorithms and ArchitectureMetaheuristic Optimization Algorithms Research

Cited by 122

Leveraging educational data mining for real-time performance assessment of scientific inquiry skills within microworlds.

Gobert, J. D., Sao Pedro, M. A., Baker, R. S. J. D., Toto, E., & Montalvo, O. (2012) · Zenodo

Intelligent Tutoring Systems and Adaptive LearningOnline Learning and Analytics

Cited by 122

Expression-EEG Based Collaborative Multimodal Emotion Recognition Using Deep AutoEncoder

Zhang, H. (2020) · IEEE Access

Emotion and Mood RecognitionFace and Expression Recognition

Cited by 122

Analysis of challenges for blockchain adoption within the Indian public sector: An interpretive structural modelling approach

Rana, N. P., Dwivedi, Y. K., & Hughes, D. L. (2022) · Information Technology & People

Blockchain Technology Applications and SecurityE-Government and Public Services

Cited by 122

Hurtful words: quantifying biases in clinical contextual word embeddings

Zhang, H., Lu, A. X., Abdalla, M., McDermott, M., & Ghassemi, M. (2020) · Proceedings of the ACM Conference on Health, Inference, and Learning

Machine Learning in HealthcareEthics and Social Impacts of AI

Cited by 122

The cognitive coprocessor architecture for interactive user interfaces

Robertson, G., Card, S. K., & Mackinlay, J. D. (1989) · Proceedings of the 2nd annual ACM SIGGRAPH symposium on User interface software and technology

Interactive and Immersive DisplaysData Visualization and Analytics

Cited by 122

Cosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control

NVIDIA, :, Alhaija, H. A., Alvarez, J., Bala, M., Cai, T., Cao, T., Cha, L., Chen, J., Chen, M., et al. (2025) · arXiv

Reinforcement Learning in RoboticsGenerative Adversarial Networks and Image Synthesis

Cited by 121

Securing Industrial Internet of Things Against Botnet Attacks Using Hybrid Deep Learning Approach

Hasan, T., Malik, J., Bibi, I., Khan, W. U., Al-Wesabi, F. N., Dev, K., & Huang, G. (2023) · IEEE Transactions on Network Science and Engineering

Network Security and Intrusion DetectionInternet of Things and AI

Cited by 121