Check computer science papers: citations, claims and retractions

Cultural Preferences of Pakistan for the University Website Design

Nizamani, S., Nizamani, S., Khoumbati, K.-U.-R., Nizamani, S., Memon, S., & Basir, N. (2018) · 2018 International Conference on Information and Communication Technology for the Muslim World (ICT4M)

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 5

Token Cropr: Faster ViTs for Quite a Few Tasks

Bergner, B., Lippert, C., & Mahendran, A. (2025) · 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 5

Motiv-ARCHE: co-creation of augmented reality educational content to motivate cultural and natural heritage learning

Vargas, J. C. G., Fabregat, R., Carrillo-Ramos, A., & Jové, T. (2025) · Discover Applied Sciences

Augmented Reality ApplicationsMuseums and Cultural Heritage

Cited by 5

Performance evaluation of computer-aided automated master frame selection techniques for fetal echocardiography

Sriraam, N., Punyaprabha, V., Sushma, T. V., & Suresh, S. (2023) · Medical & Biological Engineering & Computing

Medical Image Segmentation TechniquesCardiac Imaging and Diagnostics

Cited by 5

AI-based solutions for predicting sepsis in ICUs

Stylianides, C., Alexandropoulou, C.-A., Sulaiman, W., Panagiotopoulos, I., Kleanthous, S., Dimitrakopoulos, G., Constantinou, I., Vassiliou, S., Garcia, F., Politi, E., et al. (2023) · 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology

Machine Learning in HealthcareSepsis Diagnosis and Treatment

Cited by 5

Similarity measure of images using sift and orb feature matching

Singh, S., Siramdas, S., Tanmayi, K., & Koli, L. (2022) · International Journal for Research in Applied Science and Engineering Technology

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 5

The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models

Siegel, N. Y., Camburu, O.-M., Heess, N., & Perez-Ortiz, M. (2024) · arXiv

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 5

The First Workshop on Personalized Generative AI @ CIKM 2023: Personalization Meets Large Language Models

Chen, Z., Jiang, Z., Yang, F., He, Z., Hou, Y., Cho, E., McAuley, J., Galstyan, A., Hu, X., & Yang, J. (2023) · Proceedings of the 32nd ACM International Conference on Information and Knowledge Management

Recommender Systems and TechniquesTopic Modeling

Cited by 5

Importance of a Versatile Logging Tool for Behavioural Biometrics and Continuous Authentication Research

Mondal, S., Bours, P., Johansen, L., Stenvi, R., & Øverbø, M. (2017) · Advances in Information Security, Privacy, and Ethics

User Authentication and Security SystemsBiometric Identification and Security

Cited by 5

Synocene, Beyond the Anthropocene: De-Anthropocentralising Human-Nature-AI Interaction

Hupont, I., Wainer, M., Nester, S., Tissot, S., Iglesias-Blanco, L., & Baldassarri, S. (2024) · Extended Abstracts of the CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIInnovative Human-Technology Interaction

Cited by 5

‘Quis custodiet ipsos custodes?’ Who will watch the watchmen? On Detecting AI-generated peer-reviews

Kumar, S., Sahu, M., Gacche, V., Ghosal, T., & Ekbal, A. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Authorship Attribution and ProfilingDigital Media Forensic Detection

Cited by 5

Generalised Policy Improvement with Geometric Policy Composition

Thakoor, S., Rowland, M., Borsa, D., Dabney, W., Munos, R., & Barreto, A. (2022) · arXiv

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 5

S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning

Sinha, S., Mandlekar, A., & Garg, A. (2021) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 5

KVLink: Accelerating Large Language Models via Efficient KV Cache Reuse

Yang, J., Hou, B., Wei, W., Bao, Y., & Chang, S. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 5

LLM-based Agents Suffer from Hallucinations: A Survey of Taxonomy, Methods, and Directions

Lin, X., Ning, Y., Zhang, J., Dong, Y., Liu, Y., Wu, Y., Qi, X., Sun, N., Shang, Y., Wang, K., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 5

MarsCode Agent: AI-native Automated Bug Fixing

Liu, Y., Gao, P., Wang, X., Liu, J., Shi, Y., Zhang, Z., & Peng, C. (2024) · arXiv

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 5

Evolution of Complex Niche-Constructing Behaviors and Ecological Inheritance of Adaptive Structures in a Physically Grounded Environment

Chiba, N., Suzuki, R., & Arita, T. (2020) · Frontiers in Robotics and AI

Evolutionary Algorithms and ApplicationsEvolution and Genetic Dynamics

Cited by 5

Assessment Study For E-Learning Using Bayesian Network

Kaliwal, R. B., & Deshpande, S. L. (2021) · 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS)

Intelligent Tutoring Systems and Adaptive LearningOnline Learning and Analytics

Cited by 5

Multi-Agent MDP Homomorphic Networks

van der Pol, E., van Hoof, H., Oliehoek, F. A., & Welling, M. (2021) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 5

Evaluating Large Language Models' Capability to Launch Fully Automated Spear Phishing Campaigns: Validated on Human Subjects

Heiding, F., Lermen, S., Kao, A., Schneier, B., & Vishwanath, A. (2024) · arXiv

Spam and Phishing DetectionAdversarial Robustness in Machine Learning

Cited by 5

OFCnetLLM: large language model for network monitoring and alertness

Jun Yoon, H., Kiran, M., Ebling, D., & Breen, J. (2025) · ACM SIGMETRICS Performance Evaluation Review

Software System Performance and ReliabilityNetwork Security and Intrusion Detection

Cited by 5

Towards Reasoning Ability of Small Language Models

Srivastava, G., Cao, S., & Wang, X. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 5

What changed? Investigating debiasing methods using causal mediation analysis

Jeoung, S., & Diesner, J. (2022) · Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP)

Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection

Cited by 5

XAI for Better Exploitation of Text in Medical Decision Support

Ravichandran, A. M., Grune, J., Feldhus, N., Burchardt, A., Roller, R., & Möller, S. (2024) · Proceedings of the 23rd Workshop on Biomedical Natural Language Processing

Machine Learning in HealthcareExplainable Artificial Intelligence (XAI)

Cited by 5