Check computer science papers: citations, claims and retractions

AI ethics: Algorithmic determinism or self-determination? The GPDR approach

Milossi, M., Alexandropoulou-Egyptiadou, E., & Psannis, K. E. (2021) · IEEE Access

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 46

Exploring the relation between self-regulation, online activities, and academic performance: a case study

Pardo, A., Han, F., & Ellis, R. A. (2016) · Proceedings of the Sixth International Conference on Learning Analytics & Knowledge - LAK '16

Online Learning and AnalyticsInnovative Teaching and Learning Methods

Cited by 46

Throughput Analysis of Vehicular Internet Access via Roadside WiFi Hotspot

Xu, W., Shi, W., Lyu, F., Zhou, H., Cheng, N., & Shen, X. (2019) · IEEE Transactions on Vehicular Technology

Wireless Networks and ProtocolsVehicular Ad Hoc Networks (VANETs)

Cited by 46

Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization

Ladhak, F., Durmus, E., He, H., Cardie, C., & McKeown, K. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingAdvanced Text Analysis Techniques

Cited by 46

Analyzing the educational goals, problems and techniques used in educational big data research from 2010 to 2018.

Quadir, B., Chen, N.-S., & Isaias, P. (2022) · Interactive Learning Environments

Online Learning and AnalyticsEducational and Technological Research

Cited by 46

SLSGD: Secure and Efficient Distributed On-device Machine Learning

Xie, C., Koyejo, S., & Gupta, I. (2019) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 46

Challenges and efforts in managing AI trustworthiness risks: a state of knowledge

Polemi, N., Praça, I., Kioskli, K., & Bécue, A. (2024) · Frontiers in Big Data

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 46

Metric Learning on Healthcare Data with Incomplete Modalities

Suo, Q., Zhong, W., Ma, F., Yuan, Y., Gao, J., & Zhang, A. (2019) · Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 46

Data heterogeneity in federated learning with Electronic Health Records: Case studies of risk prediction for acute kidney injury and sepsis diseases in critical care

Rajendran, S., Xu, Z., Pan, W., Ghosh, A., & Wang, F. (2023) · PLOS Digital Health

Machine Learning in HealthcarePrivacy-Preserving Technologies in Data

Cited by 46

Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis

Lin, Y., He, P., Xu, H., Xing, Y., Yamada, M., Liu, H., & Tang, J. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 46

The MineRL 2019 Competition on Sample Efficient Reinforcement Learning using Human Priors

Guss, W. H., Codel, C., Hofmann, K., Houghton, B., Kuno, N., Milani, S., Mohanty, S., Liebana, D. P., Salakhutdinov, R., Topin, N., et al. (2019) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 46

Technology-Mediated Memory: Is Technology Altering Our Memories And Interfering With Well-Being?

Konrad, A., Isaacs, E., & Whittaker, S. (2016) · ACM Transactions on Computer-Human Interaction

Innovative Human-Technology InteractionMemory Processes and Influences

Cited by 46

MyoGym: introducing an open gym data set for activity recognition collected using myo armband

Koskimäki, H., Siirtola, P., & Röning, J. (2017) · Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 46

Integrating Audio-Visual Features For Multimodal Deepfake Detection

Muppalla, S., Jia, S., & Lyu, S. (2023) · 2023 IEEE MIT Undergraduate Research Technology Conference (URTC)

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 46

AVATAR: A Parallel Corpus for Java-Python Program Translation

Ahmad, W. U., Tushar, M. G. R., Chakraborty, S., & Chang, K.-W. (2023) · Findings of the Association for Computational Linguistics: ACL 2023

Software Engineering ResearchNatural Language Processing Techniques

Cited by 46

Toward Transportation Mode Recognition Using Deep Convolutional and Long Short-Term Memory Recurrent Neural Networks

Qin, Y., Luo, H., Zhao, F., Wang, C., Wang, J., & Zhang, Y. (2019) · IEEE Access

Context-Aware Activity Recognition SystemsHuman Mobility and Location-Based Analysis

Cited by 46

From Prompt Injections to Protocol Exploits: Threats in LLM-Powered AI Agents Workflows

Ferrag, M. A., Tihanyi, N., Hamouda, D., Maglaras, L., Lakas, A., & Debbah, M. (2026) · ICT Express

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 46

Helping the Hacker? Library Information, Security, and Social Engineering

Thompson, S. T. C. (2006) · Information Technology and Libraries

Information and Cyber SecurityPrivacy, Security, and Data Protection

Cited by 46

Towards a comprehensive understanding and accurate evaluation of societal biases in pre-trained transformers

Silva, A., Tambwekar, P., & Gombolay, M. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Ethics and Social Impacts of AITopic Modeling

Cited by 46

Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training

Hubinger, E., Denison, C., Mu, J., Lambert, M., Tong, M., MacDiarmid, M., Lanham, T., Ziegler, D. M., Maxwell, T., Cheng, N., et al. (2024) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 46

Cryptocurrencies, monetary policy, and new forms of monetary sovereignty

Fama, M., Fumagalli, A., & Lucarelli, S. (2019) · International Journal of Political Economy

Blockchain Technology Applications and SecurityEconomic theories and models

Cited by 46

Challenges in Building Highly Interactive Dialogue Systems

Ward, N. G., & DeVault, D. (2016) · AI Magazine

Speech and dialogue systemsAI in Service Interactions

Cited by 46

Video plus depth compression for mobile 3D services

Merkle, P., Wang, Y., Muller, K., Smolic, A., & Wiegand, T. (2009) · 2009 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video

Video Coding and Compression TechnologiesImage and Video Quality Assessment

Cited by 46

Design Traceability

Dick, J. (2005) · IEEE Software

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 46