Check computer science papers: citations, claims and retractions

Illusory Body Ownership Affects the Cortical Response to Vicarious Somatosensation

Pamplona, G. S. P., Salgado, J. A. D., Staempfli, P., Seifritz, E., Gassert, R., & Ionta, S. (2022) · Cerebral Cortex

Virtual Reality Applications and ImpactsAction Observation and Synchronization

Cited by 23

Socratic Questioning of Novice Debuggers: A Benchmark Dataset and Preliminary Evaluations

Al-Hossami, E., Bunescu, R., Teehan, R., Powell, L., Mahajan, K., & Dorodchi, M. (2023) · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)

Teaching and Learning ProgrammingIntelligent Tutoring Systems and Adaptive Learning

Cited by 23

MReD: A Meta-Review Dataset for Structure-Controllable Text Generation

Shen, C., Cheng, L., Zhou, R., Bing, L., You, Y., & Si, L. (2022) · Findings of the Association for Computational Linguistics: ACL 2022

Topic ModelingNatural Language Processing Techniques

Cited by 23

Tie your embeddings down: Cross-modal latent spaces for end-to-end spoken language understanding

Agrawal, B., Muller, M., Choudhary, S., Radfar, M., Mouchtaris, A., McGowan, R., Susanj, N., & Kunzmann, S. (2022) · ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Speech Recognition and SynthesisSpeech and dialogue systems

Cited by 23

Recognizing eye tracking traits for source code review

Chandrika, K. R., Amudha, J., & Sudarsan, S. D. (2017) · 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)

Software Engineering ResearchGaze Tracking and Assistive Technology

Cited by 23

The challenge of achieving zero trust remote access in multi-cloud environment

Chimakurthi, V. N. S. S. (2020) · ABC Journal of Advanced Research

Cloud Data Security SolutionsAccess Control and Trust

Cited by 23

Measuring small subgroup attacks against Diffie-Hellman

Valenta, L., Adrian, D., Sanso, A., Cohney, S., Fried, J., Hastings, M., Halderman, J. A., & Heninger, N. (2017) · Proceedings 2017 Network and Distributed System Security Symposium

Cryptography and Residue ArithmeticCryptographic Implementations and Security

Cited by 23

Performance of WiMAX Security Algorithm (The Comparative Study of RSA Encryption Algorithm with ECC Encryption Algorithm)

Habib, M., Mehmood, T., Ullah, F., & Ibrahim, M. (2009) · 2009 International Conference on Computer Technology and Development

Advanced Authentication Protocols SecurityCybersecurity and Information Systems

Cited by 23

Procurement as AI Governance

Dor, L. M. B., & Coglianese, C. (2021) · IEEE Transactions on Technology and Society

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 23

MDLdroid: a ChainSGD-reduce Approach to Mobile Deep Learning for Personal Mobile Sensing

Zhang, Y., Gu, T., & Zhang, X. (2020) · 2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 23

Vision Transformers: From Semantic Segmentation to Dense Prediction

Zhang, L., Lu, J., Zheng, S., Zhao, X., Zhu, X., Fu, Y., Xiang, T., Feng, J., & Torr, P. H. S. (2024) · International Journal of Computer Vision

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 23

Irreflexive and Hierarchical Relations as Translations

Bordes, A., Usunier, N., Garcia-Duran, A., Weston, J., & Yakhnenko, O. (2013) · arXiv

Topic ModelingAdvanced Graph Neural Networks

Cited by 23

WHY DEEP LEARNING PERFORMS BETTER THAN CLASSICAL MACHINE LEARNING?

PICON RUIZ, A., ALVAREZ GILA, A., IRUSTA, U., & ECHAZARRA HUGUET, J. (2020) · DYNA

Neural Networks and ApplicationsAdvanced Neural Network Applications

Cited by 23

Interpretable classification from skin Cancer histology slides using deep learning: A retrospective multicenter study

Xie, P., Zuo, K., Zhang, Y., Li, F., Yin, M., & Lu, K. (2019) · arXiv

AI in cancer detectionCutaneous Melanoma Detection and Management

Cited by 23

Interpretable & Explorable Approximations of Black Box Models

Lakkaraju, H., Kamar, E., Caruana, R., & Leskovec, J. (2017) · arXiv

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 23

Resource Management for Blockchain-enabled Federated Learning: A Deep Reinforcement Learning Approach

Hieu, N. Q., Anh, T. T., Luong, N. C., Niyato, D., Kim, D. I., & Elmroth, E. (2020) · arXiv

Blockchain Technology Applications and SecurityPrivacy-Preserving Technologies in Data

Cited by 23

GOAT-Bench: A Benchmark for Multi-Modal Lifelong Navigation

Khanna, M., Ramrakhya, R., Chhablani, G., Yenamandra, S., Gervet, T., Chang, M., Kira, Z., Chaplot, D. S., Batra, D., & Mottaghi, R. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 23

“Alexa, define empowerment”: voice assistants at home, appropriation and technoperformances

Kudina, O., & Coeckelbergh, M. (2021) · Journal of Information, Communication and Ethics in Society

Ethics and Social Impacts of AICybernetics and Technology in Society

Cited by 23

Question answering systems with deep learning-based symbolic processing

Honda, H., & Hagiwara, M. (2019) · IEEE Access

Topic ModelingNatural Language Processing Techniques

Cited by 23

Does the Early Bird Catch the Worm? Earliness of Students' Work and its Relationship with Course Outcomes

Leinonen, J., Castro, F. E. V., & Hellas, A. (2021) · Proceedings of the 26th ACM Conference on Innovation and Technology in Computer Science Education V. 1

Teaching and Learning ProgrammingOnline Learning and Analytics

Cited by 23

ASTS: A Unified Framework for Arbitrary Shape Text Spotting

Liu, J., Chen, Z., Du, B., & Tao, D. (2020) · IEEE Transactions on Image Processing

Handwritten Text Recognition TechniquesVehicle License Plate Recognition

Cited by 23

From Edge Transformer to IoT Decisions: Offloaded Embeddings for Lightweight Intrusion Detection

Adjewa, F., Esseghir, M., & Merghem-Boulahia, L. (2026) · Sensors

Network Security and Intrusion DetectionIoT and Edge/Fog Computing

Cited by 23

The Psychological Effects of AI-Assisted Programming on Students and Professionals

Valový, M., & Buchalcevova, A. (2023) · 2023 IEEE International Conference on Software Maintenance and Evolution (ICSME)

Teaching and Learning ProgrammingSoftware Engineering Techniques and Practices

Cited by 23

Leveraging Self-Supervised Learning for Speaker Diarization

Han, J., Landini, F., Rohdin, J., Silnova, A., Diez, M., & Burget, L. (2025) · ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 23