Check computer science papers: citations, claims and retractions

Human-like intuitive behavior and reasoning biases emerged in large language models but disappeared in ChatGPT

Hagendorff, T., Fabi, S., & Kosinski, M. (2023) · Nature Computational Science

Topic ModelingNatural Language Processing Techniques

Cited by 243

WARP: Word-level Adversarial ReProgramming

Hambardzumyan, K., Khachatrian, H., & May, J. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

Adversarial Robustness in Machine LearningNatural Language Processing Techniques

Cited by 243

Synthesizing multimodal utterances for conversational agents

Kopp, S., & Wachsmuth, I. (2004) · Computer Animation and Virtual Worlds

Human Motion and AnimationSpeech and dialogue systems

Cited by 243

Knowing What a User Likes: A Design Science Approach to Interfaces that Automatically Adapt to Culture1

Reinecke, K., & Bernstein, A. (2013) · MIS Quarterly

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 243

Sewa db: A rich database for audio-visual emotion and sentiment research in the wild

Kossaifi, J., Walecki, R., Panagakis, Y., Shen, J., Schmitt, M., Ringeval, F., Han, J., Pandit, V., Toisoul, A., Schuller, B., et al. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 243

Get Out of My Lab: Large-scale, Real-Time Visual-Inertial Localization

Lynen, S., Sattler, T., Bosse, M., Hesch, J., Pollefeys, M., & Siegwart, R. (2015) · Robotics: Science and Systems XI

Robotics and Sensor-Based LocalizationInertial Sensor and Navigation

Cited by 243

Recommendations for the ethical use and design of artificial intelligent care providers

Luxton, D. D. (2014) · Artificial Intelligence in Medicine

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 243

PubMed related articles: a probabilistic topic-based model for content similarity

Lin, J., & Wilbur, W. J. (2007) · BMC Bioinformatics

Information Retrieval and Search BehaviorBiomedical Text Mining and Ontologies

Cited by 243

Development and Deployment at Facebook

Feitelson, D. G., Frachtenberg, E., & Beck, K. L. (2013) · IEEE Internet Computing

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 243

Embeddable ADC-based true random number generator for cryptographic applications exploiting nonlinear signal processing and chaos

Callegari, S., Rovatti, R., & Setti, G. (2005) · IEEE Transactions on Signal Processing

Chaos-based Image/Signal EncryptionPhysical Unclonable Functions (PUFs) and Hardware Security

Cited by 243

Wireguard: next generation kernel network tunnel

Donenfeld, J. A. (2017) · Proceedings 2017 Network and Distributed System Security Symposium

Cybersecurity and Information SystemsSecurity and Verification in Computing

Cited by 243

Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper)

Castro, S., Hazarika, D., Pérez-Rosas, V., Zimmermann, R., Mihalcea, R., & Poria, S. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Sentiment Analysis and Opinion MiningHate Speech and Cyberbullying Detection

Cited by 243

Outperforming LRU with an adaptive replacement cache algorithm

Megiddo, N., & Modha, D. S. (2004) · Computer

Parallel Computing and Optimization TechniquesCaching and Content Delivery

Cited by 243

Deep learning for human affect recognition: Insights and new developments

Rouast, P. V., Adam, M. T. P., & Chiong, R. (2021) · IEEE Transactions on Affective Computing

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 243

Rulematrix: Visualizing and understanding classifiers with rules

Ming, Y., Qu, H., & Bertini, E. (2019) · IEEE Transactions on Visualization and Computer Graphics

Explainable Artificial Intelligence (XAI)Data Visualization and Analytics

Cited by 243

Passive and In-Situ assessment of mental and physical well-being using mobile sensors

Rabbi, M., Ali, S., Choudhury, T., & Berke, E. (2011) · Proceedings of the 13th international conference on Ubiquitous computing

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

Cited by 243

Overcoming the Hole in the Bucket: Public-Key Cryptography Resilient to Continual Memory Leakage

Brakerski, Z., Kalai, Y. T., Katz, J., & Vaikuntanathan, V. (2010) · 2010 IEEE 51st Annual Symposium on Foundations of Computer Science

Cryptography and Data SecurityCryptographic Implementations and Security

Cited by 242

Towards network-wide QoE fairness using openflow-assisted adaptive video streaming

Georgopoulos, P., Elkhatib, Y., Broadbent, M., Mu, M., & Race, N. (2013) · Proceedings of the 2013 ACM SIGCOMM workshop on Future human-centric multimedia networking

Network Traffic and Congestion ControlImage and Video Quality Assessment

Cited by 242

Constrained deep weak supervision for histopathology image segmentation

Jia, Z., Huang, X., Chang, E. I.-C., & Xu, Y. (2017) · IEEE Transactions on Medical Imaging

AI in cancer detectionMedical Image Segmentation Techniques

Cited by 242

Attributing Agency to Automated Systems: Reflections on Human–Robot Collaborations and Responsibility-Loci

Nyholm, S. (2018) · Science and Engineering Ethics

Ethics and Social Impacts of AILiterary and Philosophical Studies

Cited by 242

Detecting Deep-Fake Videos from Appearance and Behavior

Agarwal, S., Farid, H., El-Gaaly, T., & Lim, S.-N. (2020) · 2020 IEEE International Workshop on Information Forensics and Security (WIFS)

Digital Media Forensic DetectionFace recognition and analysis

Cited by 242

A Review on Internet of Things for Defense and Public Safety

Fraga-Lamas, P., Fernández-Caramés, T., Suárez-Albela, M., Castedo, L., & González-López, M. (2016) · Sensors

IoT and Edge/Fog ComputingMilitary Strategy and Technology

Cited by 242

Federated learning improves site performance in multicenter deep learning without data sharing

Sarma, K. V., Harmon, S., Sanford, T., Roth, H. R., Xu, Z., Tetreault, J., Xu, D., Flores, M. G., Raman, A. G., Kulkarni, R., et al. (2021) · Journal of the American Medical Informatics Association

Privacy-Preserving Technologies in DataArtificial Intelligence in Healthcare and Education

Cited by 242

Bridging e-Health and the Internet of Things: The SPHERE Project

Zhu, N., Diethe, T., Camplani, M., Tao, L., Burrows, A., Twomey, N., Kaleshi, D., Mirmehdi, M., Flach, P., & Craddock, I. (2015) · IEEE Intelligent Systems

Context-Aware Activity Recognition SystemsInnovation in Digital Healthcare Systems

Cited by 242