Check computer science papers: citations, claims and retractions

Human Decision Making with Machine Assistance: An Experiment on Bailing and Jailing

Grgić-Hlača, N., Engel, C., & Gummadi, K. P. (2019) · Proceedings of the ACM on Human-Computer Interaction

Ethics and Social Impacts of AIDecision-Making and Behavioral Economics

Cited by 113

Iteratively-Refined Interactive 3D Medical Image Segmentation With Multi-Agent Reinforcement Learning

Liao, X., Li, W., Xu, Q., Wang, X., Jin, B., Zhang, X., Wang, Y., & Zhang, Y. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 113

The Cost of Training NLP Models: A Concise Overview

Sharir, O., Peleg, B., & Shoham, Y. (2020) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 113

Residual Policy Learning

Silver, T., Allen, K., Tenenbaum, J., & Kaelbling, L. (2018) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 113

Hybrid intrusion detection system for edge-based IIoT relying on machine-learning-aided detection

Yao, H., Gao, P., Zhang, P., Wang, J., Jiang, C., & Lu, L. (2019) · IEEE Network

Network Security and Intrusion DetectionNetwork Packet Processing and Optimization

Cited by 113

State of What Art? A Call for Multi-Prompt LLM Evaluation

Mizrahi, M., Kaplan, G., Malkin, D., Dror, R., Shahaf, D., & Stanovsky, G. (2024) · Transactions of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 113

Secure Sharing of Electronic Health Records in Clouds

Wu, R., Ahn, G.-J., & Hu, H. (2012) · Proceedings of the 8th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing

Cloud Data Security SolutionsElectronic Health Records Systems

Cited by 113

Fetal Ultrasound Image Segmentation for Automatic Head Circumference Biometry Using Deeply Supervised Attention-Gated V-Net

Zeng, Y., Tsui, P.-H., Wu, W., Zhou, Z., & Wu, S. (2021) · Journal of Digital Imaging

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 113

Designing with AI: An Exploration of Co-Ideation with Image Generators

Chiou, L.-Y., Hung, P.-K., Liang, R.-H., & Wang, C.-T. (2023) · Proceedings of the 2023 ACM Designing Interactive Systems Conference

Digital Media and Visual ArtArt, Technology, and Culture

Cited by 113

A New Hyperchaotic System-Based Design for Efficient Bijective Substitution-Boxes

Al Solami, E., Ahmad, M., Volos, C., Doja, M. N., & Beg, M. M. S. (2018) · Entropy

Chaos-based Image/Signal EncryptionCryptographic Implementations and Security

Cited by 113

Digital devices, distraction, and student performance: Does in-class cell phone use reduce learning?

Duncan, D. K., Hoekstra, A. R., & Wilcox, B. R. (2012) · Astronomy Education Review

Mobile Learning in EducationPersonal Information Management and User Behavior

Cited by 113

An Interpretability Illusion for BERT

Bolukbasi, T., Pearce, A., Yuan, A., Coenen, A., Reif, E., Viégas, F., & Wattenberg, M. (2021) · arXiv

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 113

PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation

Chen, J., Ge, C., Xie, E., Wu, Y., Yao, L., Ren, X., Wang, Z., Luo, P., Lu, H., & Li, Z. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 113

An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels

Sorensen, T., Robinson, J., Rytting, C., Shaw, A., Rogers, K., Delorey, A., Khalil, M., Fulda, N., & Wingate, D. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 113

Reversible quantum cellular automata

Schumacher, B., & Werner, R. F. (2004) · arXiv

Cellular Automata and ApplicationsQuantum Computing Algorithms and Architecture

Cited by 113

Optimizing walking controllers for uncertain inputs and environments

Wang, J. M., Fleet, D. J., & Hertzmann, A. (2010) · ACM Transactions on Graphics

Human Motion and AnimationRobotic Locomotion and Control

Cited by 113

Optimization for Reinforcement Learning: From a single agent to cooperative agents

Lee, D., He, N., Kamalaruban, P., & Cevher, V. (2020) · IEEE Signal Processing Magazine

Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research

Cited by 113

MindMap: Knowledge graph prompting sparks graph of thoughts in large language models

Wen, Y., Wang, Z., & Sun, J. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingMultimodal Machine Learning Applications

Cited by 113

MixT: automatic generation of step-by-step mixed media tutorials

Chi, P.-Y., Ahn, S., Ren, A., Dontcheva, M., Li, W., & Hartmann, B. (2012) · Proceedings of the 25th annual ACM symposium on User interface software and technology

Usability and User Interface DesignData Visualization and Analytics

Cited by 113

DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks

Wiedemann, S., Kirchhoffer, H., Matlage, S., Haase, P., Marban, A., Marinc, T., Neumann, D., Nguyen, T., Schwarz, H., Wiegand, T., et al. (2020) · IEEE Journal of Selected Topics in Signal Processing

Advanced Data Compression TechniquesVideo Coding and Compression Technologies

Cited by 113

How can I choose an explainer?: An Application-grounded Evaluation of Post-hoc Explanations

Jesus, S., Belém, C., Balayan, V., Bento, J., Saleiro, P., Bizarro, P., & Gama, J. (2021) · Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency

Explainable Artificial Intelligence (XAI)Privacy-Preserving Technologies in Data

Cited by 112

No Explainability without Accountability: An Empirical Study of Explanations and Feedback in Interactive ML

Smith-Renner, A., Fan, R., Birchfield, M., Wu, T., Boyd-Graber, J., Weld, D. S., & Findlater, L. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

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

Cited by 112

Performance of activity classification algorithms in free-living older adults

SASAKI, J. E., HICKEY, A. M., STAUDENMAYER, J. W., JOHN, D., KENT, J. A., & FREEDSON, P. S. (2016) · Medicine & Science in Sports & Exercise

Context-Aware Activity Recognition SystemsPhysical Activity and Health

Cited by 112

Gemma 4 Technical Report

Gemma Team, Abd, S. E., Aggarwal, V., Algayres, R., Andreev, A., Bachem, O., Ballantyne, I., Brick, C., Cărbune, V., Casbon, M., et al. (2026) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 112