Check computer science papers: citations, claims and retractions

Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection

Elezi, I., Yu, Z., Anandkumar, A., Leal-Taixe, L., & Alvarez, J. M. (2021) · arXiv

Machine Learning and AlgorithmsAdvanced Neural Network Applications

Cited by 50

Cyber security risk management in the SCADA critical infrastructure environment

Henrie, M. (2013) · Engineering Management Journal

Information and Cyber SecuritySmart Grid Security and Resilience

Cited by 50

LLM-FP4: 4-Bit Floating-Point Quantized Transformers

Liu, S.-Y., Liu, Z., Huang, X., Dong, P., & Cheng, K.-T. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Advanced Neural Network ApplicationsNumerical Methods and Algorithms

Cited by 50

DialogueTRM: Exploring Multi-Modal Emotional Dynamics in a Conversation

Mao, Y., Liu, G., Wang, X., Gao, W., & Li, X. (2021) · Findings of the Association for Computational Linguistics: EMNLP 2021

Emotion and Mood RecognitionSpeech and dialogue systems

Cited by 50

Reassessing values for emerging big data technologies: integrating design-based and application-based approaches

La Fors, K., Custers, B., & Keymolen, E. (2019) · Ethics and Information Technology

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 50

A novel VM workload prediction using Grey Forecasting model in cloud data center

Jheng, J.-J., Tseng, F.-H., Chao, H.-C., & Chou, L.-D. (2014) · The International Conference on Information Networking 2014 (ICOIN2014)

Cloud Computing and Resource ManagementEnergy Efficiency in Computing

Cited by 50

Code of Conduct Conversations in Open Source Software Projects on Github

Li, R., Pandurangan, P., Frluckaj, H., & Dabbish, L. (2021) · Proceedings of the ACM on Human-Computer Interaction

Open Source Software InnovationsSoftware Engineering Techniques and Practices

Cited by 50

Multi-scale dynamic feature encoding network for image demoiréing

Cheng, X., Fu, Z., & Yang, J. (2019) · 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)

Advanced Image Processing TechniquesImage Enhancement Techniques

Cited by 50

Intelligent labeling based on fisher information for medical image segmentation using deep learning

Sourati, J., Gholipour, A., Dy, J. G., Tomas-Fernandez, X., Kurugol, S., & Warfield, S. K. (2019) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesMachine Learning and Algorithms

Cited by 50

High Frequency Remote Monitoring of Parkinson's Disease via Smartphone: Platform Overview and Medication Response Detection

Zhan, A., Little, M. A., Harris, D. A., Abiola, S. O., Dorsey, E. R., Saria, S., & Terzis, A. (2016) · arXiv

Context-Aware Activity Recognition SystemsMobile Health and mHealth Applications

Cited by 50

Testing the robustness and performance of spatially consistent interfaces

Scarr, J., Cockburn, A., Gutwin, C., & Malacria, S. (2013) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Interactive and Immersive DisplaysUsability and User Interface Design

Cited by 50

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Chen, Y., Qian, S., Tang, H., Lai, X., Liu, Z., Han, S., & Jia, J. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 50

Error Message Readability and Novice Debugging Performance

Denny, P., Prather, J., & Becker, B. A. (2020) · Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 50

Off the Beaten Path: Let's Replace Term-Based Retrieval with k-NN Search

Boytsov, L., Novak, D., Malkov, Y., & Nyberg, E. (2016) · Proceedings of the 25th ACM International on Conference on Information and Knowledge Management

Information Retrieval and Search BehaviorAdvanced Image and Video Retrieval Techniques

Cited by 50

How Do Users Revise Answers on Technical Q&A Websites? A Case Study on Stack Overflow

Wang, S., Chen, T.-H., & Hassan, A. E. (2020) · IEEE Transactions on Software Engineering

Expert finding and Q&A systemsSoftware Engineering Research

Cited by 50

Pocket diagnosis: Secure federated learning against poisoning attack in the cloud

Ma, Z., Ma, J., Miao, Y., Liu, X., Choo, K.-K. R., & Deng, R. H. (2022) · IEEE Transactions on Services Computing

Privacy-Preserving Technologies in DataCloud Data Security Solutions

Cited by 50

A novel and secure artificial intelligence enabled zero trust intrusion detection in industrial internet of things architecture

Laghari, A. A., Khan, A. A., Ksibi, A., Hajjej, F., Kryvinska, N., Almadhor, A., Mohamed, M. A., & Alsubai, S. (2025) · Scientific Reports

Network Security and Intrusion DetectionInternet of Things and AI

Cited by 50

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning

Ahmed, O., Träuble, F., Goyal, A., Neitz, A., Bengio, Y., Schölkopf, B., Wüthrich, M., & Bauer, S. (2020) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 50

Reactive information foraging: an empirical investigation of theory-based recommender systems for programmers

Piorkowski, D., Fleming, S., Scaffidi, C., Bogart, C., Burnett, M., John, B., Bellamy, R., & Swart, C. (2012) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 50

Fast auto-differentiable digitally reconstructed radiographs for solving inverse problems in intraoperative imaging

Gopalakrishnan, V., & Golland, P. (2023) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesAdvanced Radiotherapy Techniques

Cited by 50

Development of a generative AI ‐powered teachable agent for middle school mathematics learning: A design‐based research study

Xing, W., Song, Y., Li, C., Liu, Z., Zhu, W., & Oh, H. (2025) · British Journal of Educational Technology

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 50

Experiences in the use of an adaptive intelligent system to enhance online learners' performance: a case study in Economics and Business courses

Guerrero-Roldán, A.-E., Rodríguez-González, M. E., Bañeres, D., Elasri-Ejjaberi, A., & Cortadas, P. (2021) · International Journal of Educational Technology in Higher Education

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 50

Rethinking with Retrieval: Faithful Large Language Model Inference

He, H., Zhang, H., & Roth, D. (2023) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 50

No-reference video quality assessment in the compressed domain

Lin, X., Ma, H., Luo, L., & Chen, Y. (2012) · IEEE Transactions on Consumer Electronics

Image and Video Quality AssessmentVideo Coding and Compression Technologies

Cited by 50