Check computer science papers: citations, claims and retractions

An energy-efficient VM placement method for cloud data centers using a hybrid genetic algorithm

Kaaouache, M. A., & Bouamama, S. (2018) · Journal of Systems and Information Technology

Cloud Computing and Resource ManagementEnergy Efficiency in Computing

Cited by 18

Language Conditioned Imitation Learning over Unstructured Data

Lynch, C., & Sermanet, P. (2020) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 18

Simultaneous learning of pivots and representations for cross-domain sentiment classification

Li, L., Ye, W., Long, M., Tang, Y., Xu, J., & Wang, J. (2020) · Proceedings of the AAAI Conference on Artificial Intelligence

Sentiment Analysis and Opinion MiningDomain Adaptation and Few-Shot Learning

Cited by 18

ARC Prize 2025: Technical Report

Chollet, F., Knoop, M., Kamradt, G., & Landers, B. (2026) · arXiv

Domain Adaptation and Few-Shot LearningAI-based Problem Solving and Planning

Cited by 18

A Call to Action: Moving Forward with the Governance of Artificial Intelligence in Canada

Gaon, A., & Stedman, I. (2019) · Alberta Law Review

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 18

Deep learning analysis of histopathological images predicts immunotherapy prognosis and reveals tumour microenvironment features in non-small cell lung cancer

Wang, Y., Ju, X., Hua, R., Chen, J., Dai, X., Liu, L., Wang, G., Bai, Y., Hu, H., & Li, X. (2024) · British Journal of Cancer

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 18

How statically-typed functional programmers write code

Lubin, J., & Chasins, S. E. (2021) · Proceedings of the ACM on Programming Languages

Logic, programming, and type systemsSoftware Engineering Research

Cited by 18

MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback

Wang, X., Wang, Z., Liu, J., Chen, Y., Yuan, L., Peng, H., & Ji, H. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 18

The Effects of Worked-Out Example and Metacognitive Scaffolding on Problem-Solving Programming

Shin, Y., Jung, J., Zumbach, J., & Yi, E. (2023) · Journal of Educational Computing Research

Teaching and Learning ProgrammingVisual and Cognitive Learning Processes

Cited by 18

A Systematic Review of Usability and Accessibility in Tele-Rehabilitation Systems

Luis Pérez Medina, J., Acosta-Vargas, P., & Rybarczyk, Y. (2019) · Assistive and Rehabilitation Engineering

Usability and User Interface DesignDigital Accessibility for Disabilities

Cited by 18

Preliminary Steps Toward a General Theory of Internet‐Based Collective‐Action in Digital Information Commons: Findings From a Study of Open Source Software Projects

Schweik, C. M., & English, R. (2013) · International Journal of the Commons

Open Source Software InnovationsWikis in Education and Collaboration

Cited by 18

Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?

Yona, G., Aharoni, R., & Geva, M. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 18

A Framework for Outlier Description Using Constraint Programming

Kuo, C.-T., & Davidson, I. (2016) · Proceedings of the AAAI Conference on Artificial Intelligence

Anomaly Detection Techniques and ApplicationsMachine Learning and Data Classification

Cited by 18

Developing an intelligent virtual agent to stratify people with cognitive complaints: A comparison of human–patient and intelligent virtual agent–patient interaction

Walker, T., Christensen, H., Mirheidari, B., Swainston, T., Rutten, C., Mayer, I., Blackburn, D., & Reuber, M. (2020) · Dementia

Speech and dialogue systemsDementia and Cognitive Impairment Research

Cited by 18

Learning Multimodal Rewards from Rankings

Myers, V., Bıyık, E., Anari, N., & Sadigh, D. (2021) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 18

Training Large Language Models to Reason in a Continuous Latent Space

Hao, S., Sukhbaatar, S., Su, D., Li, X., Hu, Z., Weston, J., & Tian, Y. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 18

Accessibility and Disability in PreK-12 CS: Results from a Landscape Survey of Teachers

Blaser, B., Ladner, R. E., Twarek, B., Stefik, A., & Stabler, H. (2024) · Proceedings of the 2024 on RESPECT Annual Conference

Teaching and Learning ProgrammingGender and Technology in Education

Cited by 18

Student Information System and Performance Retrieval Through Dashboard

V.Phani Krishna, K., Mani Kumar, M., & S.G.Aruna Sri, P. (2018) · International Journal of Engineering & Technology

Online Learning and AnalyticsData Mining and Machine Learning Applications

Cited by 18

Improved appearance-based matching in similar and dynamic environments using a Vocabulary tree

Sabatta, D., Scaramuzza, D., & Siegwart, R. (2010) · 2010 IEEE International Conference on Robotics and Automation

Robotics and Sensor-Based LocalizationAdvanced Image and Video Retrieval Techniques

Cited by 18

A Microservices and Blockchain Based One Time Password (MBB-OTP) Protocol for Security-Enhanced Authentication

Catalfamo, A., Ruggeri, A., Celesti, A., Fazio, M., & Villari, M. (2021) · 2021 IEEE Symposium on Computers and Communications (ISCC)

User Authentication and Security SystemsAdvanced Authentication Protocols Security

Cited by 18

Towards lifelong dialogue agents via timeline-based memory management

Ong, K. T.-I., Kim, N., Gwak, M., Chae, H., Kwon, T., Jo, Y., Hwang, S.-W., Lee, D., & Yeo, J. (2025) · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

Speech and dialogue systemsNatural Language Processing Techniques

Cited by 18

Zero-shot visual reasoning through probabilistic analogical mapping

Webb, T. W., Fu, S., Bihl, T., Holyoak, K. J., & Lu, H. (2022) · arXiv

Multimodal Machine Learning ApplicationsLogic, Reasoning, and Knowledge

Cited by 18

A Multimodal IoT-Based Locomotion Classification System Using Features Engineering and Recursive Neural Network

Javeed, M., Mudawi, N. A., Alabduallah, B. I., Jalal, A., & Kim, W. (2023) · Sensors

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 18

Comparison of three FPGA architectures for embedded multidimensional categorization through Kohonen's self-organizing maps

de Abreu de Sousa, M. A., & Del-Moral-Hernandez, E. (2017) · 2017 IEEE International Symposium on Circuits and Systems (ISCAS)

Neural Networks and ApplicationsEmbedded Systems Design Techniques

Cited by 18