Check computer science papers: citations, claims and retractions

Blue Skies from (X?s) Pain: A Digital Forensic Analysis of Threads and Bluesky

Brown, J., Onik, A. R., & Baggili, I. (2024) · Proceedings of the 19th International Conference on Availability, Reliability and Security

Digital and Cyber ForensicsDigital Media Forensic Detection

Cited by 10

IoT-POT: Machine Learning-based Detection of Mirai Botnet Attacks in IoT

Sharma, A., & Babbar, H. (2024) · 2024 First International Conference on Innovations in Communications, Electrical and Computer Engineering (ICICEC)

Network Security and Intrusion DetectionInternet Traffic Analysis and Secure E-voting

Cited by 10

Automated Smart Contract Vulnerability Detection using Fine-tuned Large Language Models

Yang, Z., Man, G., & Yue, S. (2023) · Proceedings of the 2023 6th International Conference on Blockchain Technology and Applications

Blockchain Technology Applications and SecuritySoftware Engineering Research

Cited by 10

A Literature Review on the Challenges of Applying Test-Driven Development in Software Engineering

Staegemann, D., Volk, M., Perera, M., Haertel, C., Pohl, M., Daase, C., & Turowski, K. (2022) · Complex Systems Informatics and Modeling Quarterly

Software Engineering Techniques and PracticesSoftware Testing and Debugging Techniques

Cited by 10

Adaptive Ensembling: Unsupervised Domain Adaptation for Political Document Analysis

Desai, S., Sinno, B., Rosenfeld, A., & Li, J. J. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 10

MS2: Multi-Document Summarization of Medical Studies

DeYoung, J., Beltagy, I., van Zuylen, M., Kuehl, B., & Wang, L. L. (2021) · arXiv

Advanced Text Analysis TechniquesBiomedical Text Mining and Ontologies

Cited by 10

Equipment Identification and Localization Method Based on Improved YOLOv5s Model for Production Line

Yu, M., Wan, Q., Tian, S., Hou, Y., Wang, Y., & Zhao, J. (2022) · Sensors

Advanced Neural Network ApplicationsIndustrial Vision Systems and Defect Detection

Cited by 10

Towards Robust Foundation Models for Digital Pathology

Kömen, J., de Jong, E. D., Hense, J., Marienwald, H., Dippel, J., Naumann, P., Marcus, E., Ruff, L., Alber, M., Teuwen, J., et al. (2025) · arXiv

AI in cancer detectionArtificial Intelligence in Healthcare and Education

Cited by 10

OpenReviewer: A Specialized Large Language Model for Generating Critical Scientific Paper Reviews

Idahl, M., & Ahmadi, Z. (2025) · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (System Demonstrations)

Topic ModelingAcademic Writing and Publishing

Cited by 10

ThinkWrite: Design Interventions for Empowering User Deliberation in Online Petition

Kim, J., Kim, C., & Nam, K.-Y. (2022) · CHI Conference on Human Factors in Computing Systems Extended Abstracts

Innovative Human-Technology InteractionE-Government and Public Services

Cited by 10

Sources of Opacity in Computer Systems: Towards a Comprehensive Taxonomy

Mann, S., Crook, B., Kästner, L., Schomäcker, A., & Speith, T. (2023) · 2023 IEEE 31st International Requirements Engineering Conference Workshops (REW)

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 10

PuzzleVQA: Diagnosing Multimodal Reasoning Challenges of Language Models with Abstract Visual Patterns

Chia, Y. K., Toh, V., Ghosal, D., Bing, L., & Poria, S. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 10

Flexible and Context-Specific AI Explainability: A Multidisciplinary Approach

Beaudouin, V., Bloch, I., Bounie, D., Clémençon, S., d'Alché-Buc, F., Eagan, J., Maxwell, W., Mozharovskyi, P., & Parekh, J. (2020) · arXiv

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 10

Joint FEC/CRC coding scheme for energy constrained IOT devices

Ez-zazi, I., Arioua, M., El Oualkadi, A., & el Assari, Y. (2017) · Proceedings of the International Conference on Future Networks and Distributed Systems

Error Correcting Code TechniquesIoT Networks and Protocols

Cited by 10

Red Teaming with Mind Reading: White-Box Adversarial Policies Against RL Agents

Casper, S., Killian, T., Kreiman, G., & Hadfield-Menell, D. (2022) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 10

MOOCs Meet Measurement Theory: A Topic-Modelling Approach

He, J., Rubinstein, B., Bailey, J., Zhang, R., Milligan, S., & Chan, J. (2016) · Proceedings of the AAAI Conference on Artificial Intelligence

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 10

Gradient $\ell_1$ Regularization for Quantization Robustness

Alizadeh, M., Behboodi, A., van Baalen, M., Louizos, C., Blankevoort, T., & Welling, M. (2020) · arXiv

Advanced Neural Network ApplicationsStochastic Gradient Optimization Techniques

Cited by 10

Predictive Model to Identify College Students with High Dropout Rates

Hoyos Osorio, J. K., & Daza Santacoloma, G. (2023) · Revista Electrónica de Investigación Educativa

Online Learning and AnalyticsEvasion and Academic Success Factors

Cited by 10

Multivariate Time Series Anomaly Detection via Dynamic Graph Forecasting

Chen, K., Feng, M., & Wirjanto, T. S. (2023) · arXiv

Anomaly Detection Techniques and ApplicationsTime Series Analysis and Forecasting

Cited by 10

Making Emergency Calls More Accessible to Older Adults Through a Hands-free Speech Interface in the House

Vacher, M., Aman, F., Rossato, S., Portet, F., & Lecouteux, B. (2019) · ACM Transactions on Accessible Computing

Speech Recognition and SynthesisSpeech and dialogue systems

Cited by 10

Schaltenbrand-Wahren-Talairach-Tournoux brain atlas registration:

Nowinski, W. L., Fang, A., & Nguyen, B. T. (1995) · SPIE Proceedings

Medical Image Segmentation TechniquesAnatomy and Medical Technology

Cited by 10

A Study on the Software Architecture Documentation Practices and Maturity in Open-Source Software Development

Muszynski, M., Lugtigheid, S., Castor, F., & Brinkkemper, S. (2022) · 2022 IEEE 19th International Conference on Software Architecture (ICSA)

Advanced Software Engineering MethodologiesSoftware Engineering Techniques and Practices

Cited by 10

Are code smell detection tools suitable for detecting architecture degradation?

Lenhard, J., Hassan, M. M., Blom, M., & Herold, S. (2017) · Proceedings of the 11th European Conference on Software Architecture: Companion Proceedings

Software Engineering ResearchAdvanced Software Engineering Methodologies

Cited by 10

Use of deep learning to segment bolus during videofluoroscopic swallow studies

Shaheen, N., Burdick, R., Peña-Chávez, R., Ulmschneider, C., Yee, J., Kurosu, A., Rogus-Pulia, N., & Bednarz, B. (2024) · Biomedical Physics & Engineering Express

Medical Image Segmentation TechniquesDysphagia Assessment and Management

Cited by 10