Check computer science papers: citations, claims and retractions

Mapping value sensitive design onto AI for social good principles

Umbrello, S., & van de Poel, I. (2021) · AI and Ethics

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 251

Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health

Taylor, S., Jaques, N., Nosakhare, E., Sano, A., & Picard, R. (2020) · IEEE Transactions on Affective Computing

Emotion and Mood RecognitionContext-Aware Activity Recognition Systems

Cited by 251

The Fallacy of AI Functionality

Raji, I. D., Kumar, I. E., Horowitz, A., & Selbst, A. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 251

Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer

Foersch, S., Glasner, C., Woerl, A.-C., Eckstein, M., Wagner, D.-C., Schulz, S., Kellers, F., Fernandez, A., Tserea, K., Kloth, M., et al. (2023) · Nature Medicine

AI in cancer detectionCancer Immunotherapy and Biomarkers

Cited by 251

Autonomous Cars: In Favor of a Mandatory Ethics Setting

Gogoll, J., & Müller, J. F. (2017) · Science and Engineering Ethics

Ethics and Social Impacts of AIAutonomous Vehicle Technology and Safety

Cited by 251

Stability of persistence diagrams

Cohen-Steiner, D., Edelsbrunner, H., & Harer, J. (2005) · Proceedings of the twenty-first annual symposium on Computational geometry

Topological and Geometric Data AnalysisGeometric and Algebraic Topology

Cited by 251

Adaptive Neural Networks for Efficient Inference

Bolukbasi, T., Wang, J., Dekel, O., & Saligrama, V. (2017) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 251

Use of machine learning to analyse routinely collected intensive care unit data: a systematic review

Shillan, D., Sterne, J. A. C., Champneys, A., & Gibbison, B. (2019) · Critical Care

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 251

Unsupervised Pretraining for Sequence to Sequence Learning

Ramachandran, P., Liu, P., & Le, Q. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing

Natural Language Processing TechniquesTopic Modeling

Cited by 251

Synthesizer: Rethinking Self-Attention in Transformer Models

Tay, Y., Bahri, D., Metzler, D., Juan, D.-C., Zhao, Z., & Zheng, C. (2020) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 251

Optimizing Dense Retrieval Model Training with Hard Negatives

Zhan, J., Mao, J., Liu, Y., Guo, J., Zhang, M., & Ma, S. (2021) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 251

Designing SpeechActs: issues in speech user interfaces

Yankelovich, N., Levow, G.-A., & Marx, M. (1995) · Proceedings of the SIGCHI conference on Human factors in computing systems - CHI '95

Speech and dialogue systemsUsability and User Interface Design

Cited by 250

Artificial intelligence-based methods for fusion of electronic health records and imaging data

Mohsen, F., Ali, H., El Hajj, N., & Shah, Z. (2022) · Scientific Reports

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 250

Towards Fair and Privacy-Preserving Federated Deep Models

Lyu, L., Yu, J., Nandakumar, K., Li, Y., Ma, X., Jin, J., Yu, H., & Ng, K. S. (2020) · IEEE Transactions on Parallel and Distributed Systems

Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security

Cited by 250

On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances, and Million-AID

Long, Y., Xia, G.-S., Li, S., Yang, W., Yang, M. Y., Zhu, X. X., Zhang, L., & Li, D. (2021) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Remote-Sensing Image ClassificationRemote Sensing and Land Use

Cited by 250

Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

Wang, C., Chen, S., Wu, Y., Zhang, Z., Zhou, L., Liu, S., Chen, Z., Liu, Y., Wang, H., Li, J., et al. (2023) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 250

Measurement of cortical thickness using an automated 3-D algorithm: a validation study

Kabani, N., Le Goualher, G., MacDonald, D., & Evans, A. C. (2001) · NeuroImage

Medical Image Segmentation TechniquesAdvanced Neuroimaging Techniques and Applications

Cited by 250

Bringing Transparency Design into Practice

Eiband, M., Schneider, H., Bilandzic, M., Fazekas-Con, J., Haug, M., & Hussmann, H. (2018) · 23rd International Conference on Intelligent User Interfaces

Explainable Artificial Intelligence (XAI)Usability and User Interface Design

Cited by 250

Large-scale wearable data reveal digital phenotypes for daily-life stress detection

Smets, E., Rios Velazquez, E., Schiavone, G., Chakroun, I., D’Hondt, E., De Raedt, W., Cornelis, J., Janssens, O., Van Hoecke, S., Claes, S., et al. (2018) · npj Digital Medicine

Emotion and Mood RecognitionMental Health Research Topics

Cited by 250

Weakly-supervised learning for lung carcinoma classification using deep learning

Kanavati, F., Toyokawa, G., Momosaki, S., Rambeau, M., Kozuma, Y., Shoji, F., Yamazaki, K., Takeo, S., Iizuka, O., & Tsuneki, M. (2020) · Scientific Reports

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 250

Low-cost error mitigation by symmetry verification

Bonet-Monroig, X., Sagastizabal, R., Singh, M., & O'Brien, T. E. (2018) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 250

Governing AI safety through independent audits

Falco, G., Shneiderman, B., Badger, J., Carrier, R., Dahbura, A., Danks, D., Eling, M., Goodloe, A., Gupta, J., Hart, C., et al. (2021) · Nature Machine Intelligence

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 250

Astraea: Self-balancing Federated Learning for Improving Classification Accuracy of Mobile Deep Learning Applications

Duan, M., Liu, D., Chen, X., Tan, Y., Ren, J., Qiao, L., & Liang, L. (2019) · arXiv

Privacy-Preserving Technologies in DataMachine Learning and Data Classification

Cited by 250

Automatic analysis of affective postures and body motion to detect engagement with a game companion,

Sanghvi, J., Castellano, G., Leite, I., Pereira, A., McOwan, P. W., & Paiva, A. (2011) · Proceedings of the 6th international conference on Human-robot interaction

Emotion and Mood RecognitionSocial Robot Interaction and HRI

Cited by 250