Check computer science papers: citations, claims and retractions

Past, Present, and Future of Sensor-based Human Activity Recognition Using Wearables: A Surveying Tutorial on a Still Challenging Task

Haresamudram, H., Tang, C. I., Suh, S., Lukowicz, P., & Plötz, T. (2025) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsPhysical Activity and Health

Cited by 33

Designing for inquisitive use

Dalsgaard, P. (2008) · Proceedings of the 7th ACM conference on Designing interactive systems

Innovative Human-Technology InteractionInteractive and Immersive Displays

Cited by 33

QualitySDN: Improving Video Quality using MPTCP and Segment Routing in SDN/NFV

Barakabitze, A. A., Mkwawa, I.-H., Sun, L., & Ifeachor, E. (2018) · 2018 4th IEEE Conference on Network Softwarization and Workshops (NetSoft)

Software-Defined Networks and 5GNetwork Traffic and Congestion Control

Cited by 33

Multiple exits from a loop without the GOTO

Bochmann, G. V. (1973) · Communications of the ACM

Logic, programming, and type systemsTeaching and Learning Programming

Cited by 33

Holding on to Compliance While Adopting DevSecOps: An SLR

Ramaj, X., Sánchez-Gordón, M., Gkioulos, V., Chockalingam, S., & Colomo-Palacios, R. (2022) · Electronics

Software Engineering Techniques and PracticesWeb Application Security Vulnerabilities

Cited by 33

Gendered Mental Health Stigma in Masked Language Models

Lin, I., Njoo, L., Field, A., Sharma, A., Reinecke, K., Althoff, T., & Tsvetkov, Y. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Ethics and Social Impacts of AIMental Health Treatment and Access

Cited by 33

AI-assisted multi-modal information for the screening of depression: a systematic review and meta-analysis

Wang, L., Wang, C., Li, C., Murai, T., Bai, Y., Song, Z., Zhang, S., Zhang, Q., Huang, Y., Bi, X., et al. (2025) · npj Digital Medicine

Emotion and Mood RecognitionArtificial Intelligence in Healthcare

Cited by 33

Fast quantum search algorithms in protein sequence comparisons: Quantum bioinformatics

Hollenberg, L. C. L. (2000) · Physical Review E

Quantum Computing Algorithms and ArchitectureAlgorithms and Data Compression

Cited by 33

Registration of fa and t1-weighted MRI data of healthy human brain based on template matching and normalized cross-correlation

Malinsky, M., Peter, R., Hodneland, E., Lundervold, A. J., Lundervold, A., & Jan, J. (2013) · Journal of Digital Imaging

Medical Image Segmentation TechniquesAdvanced Neuroimaging Techniques and Applications

Cited by 33

WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

Luo, H., Sun, Q., Xu, C., Zhao, P., Lou, J., Tao, C., Geng, X., Lin, Q., Chen, S., Tang, Y., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 33

zkDL: Efficient Zero-Knowledge Proofs of Deep Learning Training

Sun, H., Bai, T., Li, J., & Zhang, H. (2025) · IEEE Transactions on Information Forensics and Security

Cryptography and Data SecurityInternet Traffic Analysis and Secure E-voting

Cited by 33

Co-embedding of edges and nodes with deep graph convolutional neural networks

Zhou, Y., Huo, H., Hou, Z., Bu, L., Mao, J., Wang, Y., Lv, X., & Bu, F. (2023) · Scientific Reports

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 33

Correlating Automated and Human Evaluation of Code Documentation Generation Quality

Hu, X., Chen, Q., Wang, H., Xia, X., Lo, D., & Zimmermann, T. (2022) · ACM Transactions on Software Engineering and Methodology

Software Engineering ResearchTopic Modeling

Cited by 33

Progressive Prompts: Continual Learning for Language Models

Razdaibiedina, A., Mao, Y., Hou, R., Khabsa, M., Lewis, M., & Almahairi, A. (2023) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 33

LET-3D-AP: Longitudinal Error Tolerant 3D Average Precision for Camera-Only 3D Detection

Hung, W.-C., Casser, V., Kretzschmar, H., Hwang, J.-J., & Anguelov, D. (2024) · 2024 IEEE International Conference on Robotics and Automation (ICRA)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 33

A deep learning model based on whole slide images to predict disease-free survival in cutaneous melanoma patients

Comes, M. C., Fucci, L., Mele, F., Bove, S., Cristofaro, C., De Risi, I., Fanizzi, A., Milella, M., Strippoli, S., Zito, A., et al. (2022) · Scientific Reports

AI in cancer detectionCutaneous Melanoma Detection and Management

Cited by 33

A multimodal fuzzy inference system using a continuous facial expression representation for emotion detection

Soladié, C., Salam, H., Pelachaud, C., Stoiber, N., & Séguier, R. (2012) · Proceedings of the 14th ACM international conference on Multimodal interaction

Emotion and Mood RecognitionFace recognition and analysis

Cited by 33

REMOTE SENSING IMAGE CLASSIFICATION WITH THE SEN12MS DATASET

Schmitt, M., & Wu, Y.-L. (2021) · ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Remote-Sensing Image ClassificationAdvanced Neural Network Applications

Cited by 33

Technology, Sexual Violence, and Power-Evasive Politics: Mapping the Anti-violence Sociotechnical Imaginary

Shelby, R. (2023) · Science, Technology, & Human Values

Ethics and Social Impacts of AISexual Assault and Victimization Studies

Cited by 33

Acceptance and effectiveness of Rain Classroom in linguistics classes

Yu, Z., & Yi, H. (2020) · International Journal of Mobile and Blended Learning

Mobile Learning in EducationTechnology-Enhanced Education Studies

Cited by 33

What's fair is… fair? Presenting JustEFAB, an ethical framework for operationalizing medical ethics and social justice in the integration of clinical machine learning

Mccradden, M., Odusi, O., Joshi, S., Akrout, I., Ndlovu, K., Glocker, B., Maicas, G., Liu, X., Mazwi, M., Garnett, T., et al. (2023) · 2023 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 33

Logistic models for classifying online grooming conversation

Pranoto, H., Gunawan, F. E., & Soewito, B. (2015) · Procedia Computer Science

Hate Speech and Cyberbullying DetectionText and Document Classification Technologies

Cited by 33

Voice Deepfake Detection Using the Self-Supervised Pre-Training Model HuBERT

Li, L., Lu, T., Ma, X., Yuan, M., & Wan, D. (2023) · Applied Sciences

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 33

What does saying that 'programming is hard' really say, and about whom?

Becker, B. A. (2021) · Communications of the ACM

Teaching and Learning ProgrammingGender and Technology in Education

Cited by 33