Check computer science papers: citations, claims and retractions

Deriving Effective Human Activity Recognition Systems through Objective Task Complexity Assessment

Hiremath, S. K., & Plötz, T. (2020) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

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

Cited by 11

LEGATO: Cross-Embodiment Imitation Using a Grasping Tool

Seo, M., Park, H. A., Yuan, S., Zhu, Y., & Sentis, L. (2025) · IEEE Robotics and Automation Letters

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 11

AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?

Yoran, O., Amouyal, S. J., Malaviya, C., Bogin, B., Press, O., & Berant, J. (2024) · arXiv

Information Retrieval and Search BehaviorWeb Data Mining and Analysis

Cited by 11

Characterizing the Temporal Dynamics of Universal Speech Representations for Generalizable Deepfake Detection

Zhu, Y., Powar, S., & Falk, T. H. (2024) · 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 11

On Using The First Variant of Dependent RSA Encryption Scheme to Secure Text: A Tutorial

Rachmawati, D., & Budiman, M. A. (2020) · Journal of Physics: Conference Series

Cryptography and Data SecurityCryptographic Implementations and Security

Cited by 11

Integrating a Decision Support System into a School: The Effects on Student Functioning

Kalay, P., & Chen, D. (2002) · Journal of Research on Technology in Education

Educational Management and QualityEducational Assessment and Improvement

Cited by 11

Robust Federated Learning for Ubiquitous Computing through Mitigation of Edge-Case Backdoor Attacks

Elhattab, F., Bouchenak, S., Talbi, R., & Nitu, V. (2022) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 11

Simple change detection from mobile light field cameras

Dansereau, D. G., Williams, S. B., & Corke, P. I. (2016) · Computer Vision and Image Understanding

Advanced Vision and ImagingVideo Surveillance and Tracking Methods

Cited by 11

Price of Transparency in Strategic Machine Learning

Akyol, E., Langbort, C., & Basar, T. (2016) · arXiv

Privacy-Preserving Technologies in DataGame Theory and Applications

Cited by 11

Can Language Models Serve as Text-Based World Simulators?

Wang, R., Todd, G., Xiao, Z., Yuan, X., Côté, M.-A., Clark, P., & Jansen, P. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 11

Chatbot Experiences of Informal Language Learners: A Sentiment Analysis

Alm, A., & Nkomo, L. M. (2022) · Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines

Mobile Learning in EducationEFL/ESL Teaching and Learning

Cited by 11

An effective private data storage and retrieval system using secret sharing scheme based on secure multi-party computation

Nair, D. G., Binu, V. P., & Kumar, G. S. (2014) · 2014 International Conference on Data Science & Engineering (ICDSE)

Cryptography and Data SecurityCloud Data Security Solutions

Cited by 11

Evaluating and Mitigating Discrimination in Language Model Decisions

Tamkin, A., Askell, A., Lovitt, L., Durmus, E., Joseph, N., Kravec, S., Nguyen, K., Kaplan, J., & Ganguli, D. (2023) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 11

Proceedings of the Eleventh ACM Conference on Learning @ Scale

Siddiqui, M. N., Gupta, A., Reddig, J. M., & MacLellan, C. J. (2024)

Intelligent Tutoring Systems and Adaptive LearningAI-based Problem Solving and Planning

Cited by 11

Towards attack detection in multimodal cyber-physical systems with sticky HDP-HMM based time series analysis

Hong, A. E., Malinovsky, P. P., & Damodaran, S. K. (2024) · Digital Threats: Research and Practice

Network Security and Intrusion DetectionSmart Grid Security and Resilience

Cited by 11

A Security Evaluation Method Based on Threat Classification for Web Service

Jiang, L., Chen, H., Deng, F., & Zhong, Q. (2011) · Journal of Software

Service-Oriented Architecture and Web ServicesWeb Application Security Vulnerabilities

Cited by 11

Differentiation among prostate cancer patients with Gleason score of 7 using histopathology image and genomic data

Qi, X., Karagoz, K., Ren, J., Foran, D. J., & Gatza, M. (2018) · Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 11

4D MR phase and magnitude segmentations with GPU parallel computing

Bergen, R. V., Lin, H.-Y., Alexander, M. E., & Bidinosti, C. P. (2015) · Magnetic Resonance Imaging

Medical Image Segmentation TechniquesAdvanced MRI Techniques and Applications

Cited by 11

GPS-Based Daily Context Recognition for Lifelog Generation Using Smartphone

Tanaka, G., Okada, M., & Mineno, H. (2015) · International Journal of Advanced Computer Science and Applications

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

Cited by 11

AI as a constituted system: accountability lessons from an LLM experiment

Nabben, K. (2024) · Data & Policy

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 11

Toward Long Video Understanding via Fine-Detailed Video Story Generation

You, Z., Wen, Z., Chen, Y., Li, X., Zeng, R., Wang, Y., & Tan, M. (2025) · IEEE Transactions on Circuits and Systems for Video Technology

Multimodal Machine Learning ApplicationsVideo Analysis and Summarization

Cited by 11

Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?

Tay, Y., Dehghani, M., Abnar, S., Chung, H. W., Fedus, W., Rao, J., Narang, S., Tran, V. Q., Yogatama, D., & Metzler, D. (2022) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 11

Meaningful XAI Based on User-centric Design Methodology: Combining Legal and Human-computer Interaction (HCI) Approaches to Achieve Meaningful Algorithmic Explainability

Maxwell, W., & Dumas, B. (2023) · SSRN Electronic Journal

Explainable Artificial Intelligence (XAI)Digitalization, Law, and Regulation

Cited by 11

Quantum Search-Aided Multi-User Detection of IDMA-Assisted Multi-Layered Video Streaming

Botsinis, P., Huo, Y., Alanis, D., Babar, Z., Ng, S. X., & Hanzo, L. (2017) · IEEE Access

Wireless Communication Networks ResearchQuantum Computing Algorithms and Architecture

Cited by 11