Check computer science papers: citations, claims and retractions

Towards natural stimulation in fMRI—Issues of data analysis

Malinen, S., Hlushchuk, Y., & Hari, R. (2007) · NeuroImage

Blind Source Separation TechniquesFunctional Brain Connectivity Studies

Cited by 128

The interpretation of dream meaning: Resolving ambiguity using Latent Semantic Analysis in a small corpus of text

Altszyler, E., Ribeiro, S., Sigman, M., & Fernández Slezak, D. (2017) · Consciousness and Cognition

Topic ModelingSleep and Wakefulness Research

Cited by 128

Patient length of stay and mortality prediction: A survey

Awad, A., Bader–El–Den, M., & McNicholas, J. (2017) · Health Services Management Research

Machine Learning in HealthcareSepsis Diagnosis and Treatment

Cited by 128

Effectively Detecting Operational Anomalies In Large-Scale IoT Data Infrastructures By Using A GAN-Based Predictive Model

Chen, P., Liu, H., Xin, R., Carval, T., Zhao, J., Xia, Y., & Zhao, Z. (2022) · The Computer Journal

Anomaly Detection Techniques and ApplicationsSoftware System Performance and Reliability

Cited by 128

Neuronal message passing using mean-field, bethe, and marginal approximations

Parr, T., Markovic, D., Kiebel, S. J., & Friston, K. J. (2019) · Scientific Reports

Bayesian Modeling and Causal InferenceNeural dynamics and brain function

Cited by 128

How the intention to share can undermine enjoyment: photo-taking goals and evaluation of experiences

Barasch, A., Zauberman, G., & Diehl, K. (2018) · Journal of Consumer Research

Innovative Human-Technology InteractionDigital Marketing and Social Media

Cited by 128

Adding communicative and affective strategies to an embodied conversational agent to enhance second language learners' willingness to communicate

Ayedoun, E., Hayashi, Y., & Seta, K. (2019) · International Journal of Artificial Intelligence in Education

Speech and dialogue systemsIntelligent Tutoring Systems and Adaptive Learning

Cited by 128

Disk scrubbing in large archival storage systems

Schwarz, T. J. E., Xin, Q., Miller, E. L., Long, D. D. E., Hospodor, A., & Ng, S. (2004) · The IEEE Computer Society's 12th Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, 2004. (MASCOTS 2004). Proceedings.

Advanced Data Storage TechnologiesDistributed systems and fault tolerance

Cited by 128

Risk prediction for chronic kidney disease progression using heterogeneous electronic health record data and time series analysis

Perotte, A., Ranganath, R., Hirsch, J. S., Blei, D., & Elhadad, N. (2015) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareChronic Kidney Disease and Diabetes

Cited by 128

Deep learning and the global workspace theory

VanRullen, R., & Kanai, R. (2021) · Trends in Neurosciences

Psychiatry, Mental Health, NeuroscienceNeural dynamics and brain function

Cited by 128

When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations

Chen, X., Hsieh, C.-J., & Gong, B. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 128

Critic regularized regression

Wang, Z., Novikov, A., Zolna, K., Springenberg, J. T., Reed, S., Shahriari, B., Siegel, N., Merel, J., Gulcehre, C., Heess, N., et al. (2020) · arXiv

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 128

Facial Expression Recognition with Identity and Emotion Joint Learning

Li, M., Xu, H., Huang, X., Song, Z., Liu, X., & Li, X. (2021) · IEEE Transactions on Affective Computing

Emotion and Mood RecognitionFace recognition and analysis

Cited by 128

Online Fall Detection Using Recurrent Neural Networks on Smart Wearable Devices

Musci, M., De Martini, D., Blago, N., Facchinetti, T., & Piastra, M. (2021) · IEEE Transactions on Emerging Topics in Computing

Context-Aware Activity Recognition SystemsBalance, Gait, and Falls Prevention

Cited by 128

Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing

Thompson, B., & Post, M. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Natural Language Processing TechniquesTopic Modeling

Cited by 128

Future Industry Internet of Things with Zero-trust Security

Li, S., Iqbal, M., & Saxena, N. (2024) · Information Systems Frontiers

IoT and Edge/Fog ComputingBlockchain Technology Applications and Security

Cited by 128

Is FIDO2 the Kingslayer of User Authentication? A Comparative Usability Study of FIDO2 Passwordless Authentication

Ghorbani Lyastani, S., Schilling, M., Neumayr, M., Backes, M., & Bugiel, S. (2020) · 2020 IEEE Symposium on Security and Privacy (SP)

User Authentication and Security SystemsAdvanced Authentication Protocols Security

Cited by 128

How digital identity on blockchain can contribute in a smart city environment

Rivera, R., Robledo, J. G., Larios, V. M., & Avalos, J. M. (2017) · 2017 International Smart Cities Conference (ISC2)

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 128

A Quantitative and Qualitative Evaluation of LLM-Based Explainable Fault Localization

Kang, S., An, G., & Yoo, S. (2024) · Proceedings of the ACM on Software Engineering

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 128

Bounded real-time dynamic programming: RTDP with monotone upper bounds and performance guarantees

McMahan, H. B., Likhachev, M., & Gordon, G. J. (2005) · Proceedings of the 22nd international conference on Machine learning - ICML '05

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 128

HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers

Dong, P., Sun, M., Lu, A., Xie, Y., Liu, K., Kong, Z., Meng, X., Li, Z., Lin, X., Fang, Z., et al. (2023) · 2023 IEEE International Symposium on High-Performance Computer Architecture (HPCA)

Advanced Neural Network ApplicationsEmbedded Systems Design Techniques

Cited by 128

Man-in-the-middle attack in wireless and computer networking — A review

Bhushan, B., Sahoo, G., & Rai, A. K. (2017) · 2017 3rd International Conference on Advances in Computing,Communication & Automation (ICACCA) (Fall)

Network Security and Intrusion DetectionSecurity in Wireless Sensor Networks

Cited by 128

A Neural Architecture for Generating Natural Language Descriptions from Source Code Changes

Loyola, P., Marrese-Taylor, E., & Matsuo, Y. (2017) · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

Software Engineering ResearchTopic Modeling

Cited by 128

Efficient Federated Learning With Spike Neural Networks for Traffic Sign Recognition

Xie, K., Zhang, Z., Li, B., Kang, J., Niyato, D., Xie, S., & Wu, Y. (2022) · IEEE Transactions on Vehicular Technology

Privacy-Preserving Technologies in DataAdvanced Neural Network Applications

Cited by 128