Check computer science papers: citations, claims and retractions

Automatic 3d bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approach

Duan, J., Bello, G., Schlemper, J., Bai, W., Dawes, T. J. W., Biffi, C., de Marvao, A., Doumoud, G., O'Regan, D. P., & Rueckert, D. (2019) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesCardiac Imaging and Diagnostics

Cited by 227

Towards Continual Reinforcement Learning: A Review and Perspectives

Khetarpal, K., Riemer, M., Rish, I., & Precup, D. (2020) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 227

Application of Deep-Learning Methods to Bird Detection Using Unmanned Aerial Vehicle Imagery

Hong, S.-J., Han, Y., Kim, S.-Y., Lee, A.-Y., & Kim, G. (2019) · Sensors

Advanced Neural Network ApplicationsSmart Agriculture and AI

Cited by 227

Deep learning for face anti-spoofing: A survey

Yu, Z., Qin, Y., Li, X., Zhao, C., Lei, Z., & Zhao, G. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Biometric Identification and SecurityFace recognition and analysis

Cited by 227

Stress detection from speech and Galvanic Skin Response signals

Kurniawan, H., Maslov, A. V., & Pechenizkiy, M. (2013) · Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems

Emotion and Mood RecognitionHeart Rate Variability and Autonomic Control

Cited by 227

FogFlow: Easy Programming of IoT Services Over Cloud and Edges for Smart Cities

Cheng, B., Solmaz, G., Cirillo, F., Kovacs, E., Terasawa, K., & Kitazawa, A. (2018) · IEEE Internet of Things Journal

IoT and Edge/Fog ComputingEnergy Efficiency in Computing

Cited by 226

True Few-Shot Learning with Language Models

Perez, E., Kiela, D., & Cho, K. (2021) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 226

3D deep learning from CT scans predicts tumor invasiveness of subcentimeter pulmonary adenocarcinomas

Zhao, W., Yang, J., Sun, Y., Li, C., Wu, W., Jin, L., Yang, Z., Ni, B., Gao, P., Wang, P., et al. (2018) · Cancer Research

AI in cancer detectionLung Cancer Diagnosis and Treatment

Cited by 226

An efficient forward-backward algorithm for an explicit-duration hidden Markov model

Yu, S.-Z., & Kobayashi, H. (2003) · IEEE Signal Processing Letters

Bayesian Methods and Mixture ModelsSpeech Recognition and Synthesis

Cited by 226

CERTIFAI: A Common Framework to Provide Explanations and Analyse the Fairness and Robustness of Black-box Models

Sharma, S., Henderson, J., & Ghosh, J. (2020) · Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 226

Online hatred of women in the Incels.me forum: Linguistic analysis and automatic detection

Jaki, S., De Smedt, T., Gwóźdź, M., Panchal, R., Rossa, A., & De Pauw, G. (2019) · Journal of Language Aggression and Conflict

Hate Speech and Cyberbullying DetectionMisinformation and Its Impacts

Cited by 226

Gorilla: Large Language Model Connected with Massive APIs

Patil, S. G., Zhang, T., Wang, X., & Gonzalez, J. E. (2023) · arXiv

Topic ModelingArtificial Intelligence Applications

Cited by 226

Recurrent convolutional structures for audio spoof and video deepfake detection

Chintha, A., Thai, B., Sohrawardi, S. J., Bhatt, K., Hickerson, A., Wright, M., & Ptucha, R. (2020) · IEEE Journal of Selected Topics in Signal Processing

Digital Media Forensic DetectionSpeech Recognition and Synthesis

Cited by 226

Automated facial expression recognition based on FACS action units

Lien, J. J., Kanade, T., Cohn, J. F., & Li, C.-C. (2002) · Proceedings Third IEEE International Conference on Automatic Face and Gesture Recognition

Face recognition and analysisEmotion and Mood Recognition

Cited by 226

Privacy-first health research with federated learning

Sadilek, A., Liu, L., Nguyen, D., Kamruzzaman, M., Serghiou, S., Rader, B., Ingerman, A., Mellem, S., Kairouz, P., Nsoesie, E. O., et al. (2021) · npj Digital Medicine

Privacy-Preserving Technologies in DataArtificial Intelligence in Healthcare and Education

Cited by 226

On the Usage of the Simulator Sickness Questionnaire for Virtual Reality Research

Bimberg, P., Weissker, T., & Kulik, A. (2020) · 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)

Virtual Reality Applications and ImpactsSimulation and Modeling Applications

Cited by 226

Gorilla: Large Language Model Connected with Massive APIs

Patil, S., Zhang, T., Wang, X., & Gonzalez, J. (2024) · Advances in Neural Information Processing Systems 37

Topic ModelingArtificial Intelligence Applications

Cited by 226

The Quantum Approximate Optimization Algorithm and the Sherrington-Kirkpatrick Model at Infinite Size

Farhi, E., Goldstone, J., Gutmann, S., & Zhou, L. (2019) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 226

Preserving Data Privacy via Federated Learning: Challenges and Solutions

Li, Z., Sharma, V., & P. Mohanty, S. (2020) · IEEE Consumer Electronics Magazine

Privacy-Preserving Technologies in DataCloud Data Security Solutions

Cited by 226

On the Practical Computational Power of Finite Precision RNNs for Language Recognition

Weiss, G., Goldberg, Y., & Yahav, E. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

semigroups and automata theoryNeural Networks and Applications

Cited by 226

Benchmarking Model-Based Reinforcement Learning

Wang, T., Bao, X., Clavera, I., Hoang, J., Wen, Y., Langlois, E., Zhang, S., Zhang, G., Abbeel, P., & Ba, J. (2019) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 226

Federated Variance-Reduced Stochastic Gradient Descent With Robustness to Byzantine Attacks

Wu, Z., Ling, Q., Chen, T., & Giannakis, G. B. (2020) · IEEE Transactions on Signal Processing

Stochastic Gradient Optimization TechniquesPrivacy-Preserving Technologies in Data

Cited by 226

Generating Images with Sparse Representations

Nash, C., Menick, J., Dieleman, S., & Battaglia, P. W. (2021) · arXiv

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 226

Casting out Demons: Sanitizing Training Data for Anomaly Sensors

Cretu, G. F., Stavrou, A., Locasto, M. E., Stolfo, S. J., & Keromytis, A. D. (2008) · 2008 IEEE Symposium on Security and Privacy (sp 2008)

Network Security and Intrusion DetectionAdversarial Robustness in Machine Learning

Cited by 226