Check computer science papers: citations, claims and retractions

Unveiling Explainable AI in Healthcare: Current Trends, Challenges, and Future Directions

Aziz, N. A., Manzoor, A., Mazhar Qureshi, M. D., Qureshi, M. A., & Rashwan, W. (2024) · medRxiv

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 30

VisQA: X-raying Vision and Language Reasoning in Transformers

Jaunet, T., Kervadec, C., Vuillemot, R., Antipov, G., Baccouche, M., & Wolf, C. (2022) · IEEE Transactions on Visualization and Computer Graphics

Explainable Artificial Intelligence (XAI)Data Visualization and Analytics

Cited by 30

Humans and Automation: Augmenting Security Operation Centers

Tilbury, J., & Flowerday, S. (2024) · Journal of Cybersecurity and Privacy

Information and Cyber SecurityNetwork Security and Intrusion Detection

Cited by 30

PupilWare: towards pervasive cognitive load measurement using commodity devices

Rafiqi, S., Wangwiwattana, C., Kim, J., Fernandez, E., Nair, S., & Larson, E. C. (2015) · Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments

Gaze Tracking and Assistive TechnologyHuman-Automation Interaction and Safety

Cited by 30

An open software architecture for virtual reality interaction

Reitmayr, G., & Schmalstieg, D. (2001) · Proceedings of the ACM symposium on Virtual reality software and technology - VRST '01

Interactive and Immersive DisplaysTeleoperation and Haptic Systems

Cited by 30

Practical Attribute Reconstruction Attack Against Federated Learning

Chen, C., Lyu, L., Yu, H., & Chen, G. (2024) · IEEE Transactions on Big Data

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 30

Propagating Uncertainty in Multi-Stage Bayesian Convolutional Neural Networks with Application to Pulmonary Nodule Detection

Ozdemir, O., Woodward, B., & Berlin, A. A. (2017) · arXiv

AI in cancer detectionAdvanced Neural Network Applications

Cited by 30

Learning Robust Options

Mankowitz, D., Mann, T., Bacon, P.-L., Precup, D., & Mannor, S. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 30

Identifying computer-generated text using statistical analysis

Nguyen-Son, H.-Q., Tieu, N.-D. T., Nguyen, H. H., Yamagishi, J., & Zen, I. E. (2017) · 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)

Authorship Attribution and ProfilingNatural Language Processing Techniques

Cited by 30

Big Data and Their Social Impact: Preliminary Study

Lytras, M. D., & Visvizi, A. (2019) · Sustainability

Ethics and Social Impacts of AIPrivacy, Security, and Data Protection

Cited by 30

Digital analytics in professional work and learning

Edwards, R., & Fenwick, T. (2016) · Studies in Continuing Education

Online Learning and AnalyticsDigital Education and Society

Cited by 30

GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Rein, D., Hou, B. L., Stickland, A. C., Petty, J., Pang, R. Y., Dirani, J., Michael, J., & Bowman, S. R. (2023) · arXiv

Topic ModelingExpert finding and Q&A systems

Cited by 30

Consistent Estimation of Randomly Sampled Ornstein–Uhlenbeck Process Long-Run Mean for Long-Term Target State Prediction

Millefiori, L. M., Braca, P., & Willett, P. (2016) · IEEE Signal Processing Letters

Target Tracking and Data Fusion in Sensor NetworksControl Systems and Identification

Cited by 30

Analyzing the Data Center Efficiency by Using PUE to Make Data Centers More Energy Efficient by Reducing the Electrical Consumption and Exploring New Strategies

Sharma, M., Arunachalam, K., & Sharma, D. (2015) · Procedia Computer Science

Cloud Computing and Resource ManagementEnergy Efficiency in Computing

Cited by 30

Towards QoE assessment of encrypted YouTube adaptive video streaming in mobile networks

Pan, W., Cheng, G., Wu, H., & Tang, Y. (2016) · 2016 IEEE/ACM 24th International Symposium on Quality of Service (IWQoS)

Image and Video Quality AssessmentNetwork Traffic and Congestion Control

Cited by 30

Pre-training in Medical Data: A Survey

Qiu, Y., Lin, F., Chen, W., & Xu, M. (2023) · Machine Intelligence Research

Domain Adaptation and Few-Shot LearningMachine Learning in Healthcare

Cited by 30

Attack Detection in IoT Critical Infrastructures: A Machine Learning and Big Data Processing Approach

Kotenko, I., Saenko, I., Kushnerevich, A., & Branitskiy, A. (2019) · 2019 27th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)

Network Security and Intrusion DetectionInternet of Things and AI

Cited by 30

Multisite implementation of a workflow-integrated machine learning system to optimize COVID-19 hospital admission decisions

Hinson, J. S., Klein, E., Smith, A., Toerper, M., Dungarani, T., Hager, D., Hill, P., Kelen, G., Niforatos, J. D., Stephens, R. S., et al. (2022) · npj Digital Medicine

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 30

SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing

Ao, J., Wang, R., Zhou, L., Wang, C., Ren, S., Wu, Y., Liu, S., Ko, T., Li, Q., Zhang, Y., et al. (2021) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 30

Compressing RNNs for IoT devices by 15-38x using Kronecker Products

Thakker, U., Beu, J., Gope, D., Zhou, C., Fedorov, I., Dasika, G., & Mattina, M. (2019) · arXiv

Advanced Neural Network ApplicationsNeural Networks and Applications

Cited by 30

Decentralized Federated Learning for Road User Classification in Enhanced V2X Networks

Barbieri, L., Savazzi, S., & Nicoli, M. (2021) · 2021 IEEE International Conference on Communications Workshops (ICC Workshops)

Privacy-Preserving Technologies in DataVehicular Ad Hoc Networks (VANETs)

Cited by 30

Software Architecture in Practice: Challenges and Opportunities

Wan, Z., Zhang, Y., Xia, X., Jiang, Y., & Lo, D. (2023) · Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Advanced Software Engineering MethodologiesSoftware Engineering Techniques and Practices

Cited by 30

Red Teaming Language Model Detectors with Language Models

Shi, Z., Wang, Y., Yin, F., Chen, X., Chang, K.-W., & Hsieh, C.-J. (2023) · arXiv

Adversarial Robustness in Machine LearningAuthorship Attribution and Profiling

Cited by 30

Complex Deep Neural Networks from Large Scale Virtual IMU Data for Effective Human Activity Recognition Using Wearables

Kwon, H., Abowd, G. D., & Plötz, T. (2021) · Sensors

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 30