Check computer science papers: citations, claims and retractions

Genre, Narrative and the "Nigerian Letter" in Electronic Mail

Cukier, W., Nesselroth, E., & Cody, S. (2007) · 2007 40th Annual Hawaii International Conference on System Sciences (HICSS'07)

Spam and Phishing DetectionLinguistics and Discourse Analysis

Cited by 35

Data Mining and Electronic Health Records: Selecting Optimal Clinical Treatments in Practice

Bennett, C., & Doub, T. (2011) · arXiv

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 35

Context-aware Path Ranking for Knowledge Base Completion

Mazumder, S., & Liu, B. (2017) · Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence

Advanced Graph Neural NetworksTopic Modeling

Cited by 35

SciFact-Open: Towards open-domain scientific claim verification

Wadden, D., Lo, K., Kuehl, B., Cohan, A., Beltagy, I., Wang, L. L., & Hajishirzi, H. (2022) · Findings of the Association for Computational Linguistics: EMNLP 2022

Topic ModelingMisinformation and Its Impacts

Cited by 35

Constrained multiple instance learning for ulcerative colitis prediction using histological images

del Amor, R., Meseguer, P., Parigi, T. L., Villanacci, V., Colomer, A., Launet, L., Bazarova, A., Tontini, G. E., Bisschops, R., de Hertogh, G., et al. (2022) · Computer Methods and Programs in Biomedicine

AI in cancer detectionInflammatory Bowel Disease

Cited by 35

Systematic Review of Advanced AI Methods for Improving Healthcare Data Quality in Post COVID-19 Era

Isgut, M., Gloster, L., Choi, K., Venugopalan, J., & Wang, M. D. (2023) · IEEE Reviews in Biomedical Engineering

Data Quality and ManagementArtificial Intelligence in Healthcare and Education

Cited by 35

Ensemble Transfer Learning for Fetal Head Analysis: From Segmentation to Gestational Age and Weight Prediction

Alzubaidi, M., Agus, M., Shah, U., Makhlouf, M., Alyafei, K., & Househ, M. (2022) · Diagnostics

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 35

Wordcraft: a Human-AI Collaborative Editor for Story Writing

Coenen, A., Davis, L., Ippolito, D., Reif, E., & Yuan, A. (2021) · arXiv

Speech and dialogue systemsArtificial Intelligence in Games

Cited by 35

Quantum Error Correction For Dummies

Chatterjee, A., Phalak, K., & Ghosh, S. (2023) · 2023 IEEE International Conference on Quantum Computing and Engineering (QCE)

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 35

Reflecting on the invisible: understanding end-user perceptions of ubiquitous computing

Poole, E. S., Le Dantec, C. A., Eagan, J. R., & Edwards, W. K. (2008) · Proceedings of the 10th international conference on Ubiquitous computing

Innovative Human-Technology InteractionInformation Systems Theories and Implementation

Cited by 35

Continual Training of Language Models for Few-Shot Learning

Ke, Z., Lin, H., Shao, Y., Xu, H., Shu, L., & Liu, B. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 35

Vulnerability and security risk assessment in a IIoT environment in compliance with standard IEC 62443

Hassani, H. L., Bahnasse, A., Martin, E., Roland, C., Bouattane, O., & Mehdi Diouri, M. E. (2021) · Procedia Computer Science

Information and Cyber SecurityNetwork Security and Intrusion Detection

Cited by 35

Digital forensics and cyber forensics investigation: security challenges, limitations, open issues, and future direction

Khan, A. A., Shaikh, A. A., Laghari, A. A., Dootio, M. A., Rind, M. M., & Awan, S. A. (2022) · International Journal of Electronic Security and Digital Forensics

Digital and Cyber ForensicsEducation, Law, and Society

Cited by 35

SciFact-Open: Towards open-domain scientific claim verification

Wadden, D., Lo, K., Kuehl, B., Cohan, A., Beltagy, I., Wang, L. L., & Hajishirzi, H. (2022) · arXiv

Topic ModelingMisinformation and Its Impacts

Cited by 35

The four-fifths rule is not disparate impact: a woeful tale of epistemic trespassing in algorithmic fairness

Watkins, E. A., McKenna, M., & Chen, J. (2022) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 35

Socio-technical Imaginaries: Envisioning and Understanding AI Parenting Supports through Design Fiction

Petsolari, M., Ibrahim, S. B., & Slovak, P. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionSocial Robot Interaction and HRI

Cited by 35

Dataset artefacts in anti-spoofing systems: A case study on the ASVspoof 2017 benchmark

Chettri, B., Benetos, E., & Sturm, B. L. T. (2020) · IEEE/ACM Transactions on Audio, Speech, and Language Processing

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 35

Toward Secure and Trustworthy Vehicular Fog Computing: A Survey

Nazih, O., Benamar, N., Lamaazi, H., & Chaoui, H. (2024) · IEEE Access

IoT and Edge/Fog ComputingVehicular Ad Hoc Networks (VANETs)

Cited by 35

Blockchain-Inspired Collaborative Cyber-Attacks Detection for Securing Metaverse

Zainudin, A., Putra, M. A. P., Alief, R. N., Akter, R., Kim, D.-S., & Lee, J.-M. (2024) · IEEE Internet of Things Journal

Network Security and Intrusion DetectionPrivacy-Preserving Technologies in Data

Cited by 35

Lightweight LLM Agent Memory with Small Language Models

Zhang, J., Zhang, C., Chen, S., Huang, Z., Zheng, P., Wang, Z., Guo, P., Mo, F., Bae, S.-H., Zou, J., et al. (2026) · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 35

Barriers to adopting therapeutic virtual reality: the perspective of clinical psychologists and psychotherapists

Felnhofer, A., Pfannerstill, F., Gänsler, L., Kothgassner, O. D., Humer, E., Büttner, J., & Probst, T. (2025) · Frontiers in Psychiatry

Virtual Reality Applications and ImpactsDigital Mental Health Interventions

Cited by 35

Objective measurement of tummy time in infants (0-6 months): A validation study

Hewitt, L., Stanley, R. M., Cliff, D., & Okely, A. D. (2019) · PLOS ONE

Context-Aware Activity Recognition SystemsPhysical Activity and Health

Cited by 35

An Investigation of Transfer Learning-Based Sentiment Analysis in Japanese

Bataa, E., & Wu, J. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Sentiment Analysis and Opinion MiningTopic Modeling

Cited by 35

Unsupervised body scheme learning through self-perception

Sturm, J., Plagemann, C., & Burgard, W. (2008) · 2008 IEEE International Conference on Robotics and Automation

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 35