Check computer science papers: citations, claims and retractions

Avoiding Discrimination through Causal Reasoning

Kilbertus, N., Rojas-Carulla, M., Parascandolo, G., Hardt, M., Janzing, D., & Schölkopf, B. (2017) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 358

Multi-level Fusion Based 3D Object Detection from Monocular Images

Xu, B., & Chen, Z. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsAdvanced Vision and Imaging

Cited by 358

Glimpse: Continuous, Real-Time Object Recognition on Mobile Devices

Chen, T. Y.-H., Ravindranath, L., Deng, S., Bahl, P., & Balakrishnan, H. (2015) · Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 358

Large language models are few-shot clinical information extractors

Agrawal, M., Hegselmann, S., Lang, H., Kim, Y., & Sontag, D. (2022) · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Machine Learning in HealthcareTopic Modeling

Cited by 358

Towards Better Decoding and Language Model Integration in Sequence to Sequence Models

Chorowski, J., & Jaitly, N. (2017) · Interspeech 2017

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 358

Clinical text data in machine learning: systematic review

Spasic, I., & Nenadic, G. (2020) · JMIR Medical Informatics

Machine Learning in HealthcareBiomedical Text Mining and Ontologies

Cited by 358

Out-of-body experience, heautoscopy, and autoscopic hallucination of neurological origin

Blanke, O., & Mohr, C. (2005) · Brain Research Reviews

Virtual Reality Applications and ImpactsHallucinations in medical conditions

Cited by 358

A deep learning framework for supporting the classification of breast lesions in ultrasound images

Han, S., Kang, H.-K., Jeong, J.-Y., Park, M.-H., Kim, W., Bang, W.-C., & Seong, Y.-K. (2017) · Physics in Medicine & Biology

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 358

LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Schuhmann, C., Vencu, R., Beaumont, R., Kaczmarczyk, R., Mullis, C., Katta, A., Coombes, T., Jitsev, J., & Komatsuzaki, A. (2021) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 358

DeepCoin: A Novel Deep Learning and Blockchain-Based Energy Exchange Framework for Smart Grids

Ferrag, M. A., & Maglaras, L. (2020) · IEEE Transactions on Engineering Management

Blockchain Technology Applications and SecuritySmart Grid Security and Resilience

Cited by 358

Automated Abdominal Segmentation of CT Scans for Body Composition Analysis Using Deep Learning

Weston, A. D., Korfiatis, P., Kline, T. L., Philbrick, K. A., Kostandy, P., Sakinis, T., Sugimoto, M., Takahashi, N., & Erickson, B. J. (2019) · Radiology

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 358

Making machine learning robust against adversarial inputs

Goodfellow, I., McDaniel, P., & Papernot, N. (2018) · Communications of the ACM

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 358

Large-scale pancreatic cancer detection via non-contrast CT and deep learning

Cao, K., Xia, Y., Yao, J., Han, X., Lambert, L., Zhang, T., Tang, W., Jin, G., Jiang, H., Fang, X., et al. (2023) · Nature Medicine

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 358

Software-Defined Networks with Mobile Edge Computing and Caching for Smart Cities: A Big Data Deep Reinforcement Learning Approach

He, Y., Yu, F. R., Zhao, N., Leung, V. C. M., & Yin, H. (2017) · IEEE Communications Magazine

IoT and Edge/Fog ComputingCaching and Content Delivery

Cited by 358

Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding

Roberts, M., Ramapuram, J., Ranjan, A., Kumar, A., Bautista, M. A., Paczan, N., Webb, R., & Susskind, J. M. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

3D Shape Modeling and AnalysisAdvanced Neural Network Applications

Cited by 358

Accelerating Monte Carlo simulations of photon transport in a voxelized geometry using a massively parallel graphics processing unit

Badal, A., & Badano, A. (2009) · Medical Physics

Parallel Computing and Optimization TechniquesAdvanced Radiotherapy Techniques

Cited by 358

Classification of Remote Sensing Images Using EfficientNet-B3 CNN Model With Attention

Alhichri, H., Alswayed, A. S., Bazi, Y., Ammour, N., & Alajlan, N. A. (2021) · IEEE Access

Remote-Sensing Image ClassificationAdvanced Neural Network Applications

Cited by 357

Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection

Liu, Z., Dou, Y., Yu, P. S., Deng, Y., & Peng, H. (2020) · Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval

Advanced Graph Neural NetworksComplex Network Analysis Techniques

Cited by 357

BloombergGPT: A Large Language Model for Finance

Wu, S., Irsoy, O., Lu, S., Dabravolski, V., Dredze, M., Gehrmann, S., Kambadur, P., Rosenberg, D., & Mann, G. (2023) · arXiv

Topic ModelingStock Market Forecasting Methods

Cited by 357

A survey on digital twins: architecture, enabling technologies, security and privacy, and future prospects

Wang, Y., Su, Z., Guo, S., Dai, M., Luan, T. H., & Liu, Y. (2023) · IEEE Internet of Things Journal

IoT and Edge/Fog ComputingDigital Transformation in Industry

Cited by 357

Boosting and Other Ensemble Methods

Drucker, H., Cortes, C., Jackel, L. D., LeCun, Y., & Vapnik, V. (1994) · Neural Computation

Neural Networks and ApplicationsMachine Learning and Algorithms

Cited by 357

Potential of quantum computing for drug discovery

Cao, Y., Romero, J., & Aspuru-Guzik, A. (2018) · IBM Journal of Research and Development

Quantum Computing Algorithms and ArchitectureComputational Drug Discovery Methods

Cited by 357

Generative Artificial Intelligence: Trends and Prospects

Jovanovic, M., & Campbell, M. (2022) · Computer

Artificial Intelligence ApplicationsEthics and Social Impacts of AI

Cited by 357

KILT: a Benchmark for Knowledge Intensive Language Tasks

Petroni, F., Piktus, A., Fan, A., Lewis, P., Yazdani, M., De Cao, N., Thorne, J., Jernite, Y., Karpukhin, V., Maillard, J., et al. (2021) · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Topic ModelingNatural Language Processing Techniques

Cited by 357