Check computer science papers: citations, claims and retractions

A survey on extractive text summarization

Moratanch, N., & Chitrakala, S. (2017) · 2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)

Advanced Text Analysis TechniquesTopic Modeling

Cited by 265

Exploring Misogyny across the Manosphere in Reddit

Farrell, T., Fernandez, M., Novotny, J., & Alani, H. (2019) · Proceedings of the 10th ACM Conference on Web Science

Hate Speech and Cyberbullying DetectionGender, Feminism, and Media

Cited by 265

Single chip photonic deep neural network with accelerated training

Bandyopadhyay, S., Sludds, A., Krastanov, S., Hamerly, R., Harris, N., Bunandar, D., Streshinsky, M., Hochberg, M., & Englund, D. (2022) · arXiv

Neural Networks and Reservoir ComputingAdvanced Memory and Neural Computing

Cited by 265

AI Art and its Impact on Artists

Jiang, H. H., Brown, L., Cheng, J., Khan, M., Gupta, A., Workman, D., Hanna, A., Flowers, J., & Gebru, T. (2023) · Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society

Law, AI, and Intellectual PropertyEthics and Social Impacts of AI

Cited by 265

Ranking Generated Summaries by Correctness: An Interesting but Challenging Application for Natural Language Inference

Falke, T., Ribeiro, L. F. R., Utama, P. A., Dagan, I., & Gurevych, I. (2019) · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 265

A type and effect system for deterministic parallel Java

Bocchino, R. L., Adve, V. S., Dig, D., Adve, S. V., Heumann, S., Komuravelli, R., Overbey, J., Simmons, P., Sung, H., & Vakilian, M. (2009) · Proceedings of the 24th ACM SIGPLAN conference on Object oriented programming systems languages and applications

Logic, programming, and type systemsParallel Computing and Optimization Techniques

Cited by 265

Recognizing independent and joint activities among multiple residents in smart environments

Singla, G., Cook, D. J., & Schmitter-Edgecombe, M. (2010) · Journal of Ambient Intelligence and Humanized Computing

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 265

Co-Writing with Opinionated Language Models Affects Users’ Views

Jakesch, M., Bhat, A., Buschek, D., Zalmanson, L., & Naaman, M. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AISentiment Analysis and Opinion Mining

Cited by 265

Comparative Analysis of Intrusion Detection Systems and Machine Learning Based Model Analysis through Decision Tree

Azam, Z., Islam, M. M., & Huda, M. N. (2023) · IEEE Access

Network Security and Intrusion DetectionNetwork Packet Processing and Optimization

Cited by 265

Blockchain standards for compliance and trust

Anjum, A., Sporny, M., & Sill, A. (2017) · IEEE Cloud Computing

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 265

MicroRCA: Root Cause Localization of Performance Issues in Microservices

Wu, L., Tordsson, J., Elmroth, E., & Kao, O. (2020) · NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 265

The efficacy of learning analytics interventions in higher education: a systematic review.

Larrabee Sønderlund, A., Hughes, E., & Smith, J. (2019) · British Journal of Educational Technology

Online Learning and AnalyticsHigher Education Research Studies

Cited by 265

Blockchain technology in the oil and gas industry: A review of applications, opportunities, challenges, and risks

Lu, H., Huang, K., Azimi, M., & Guo, L. (2019) · IEEE Access

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 265

Evaluating Differentially Private Machine Learning in Practice

Jayaraman, B., & Evans, D. (2019) · arXiv

Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection

Cited by 265

Virtual reality in neurorehabilitation

Weiss, P. L., Kizony, R., Feintuch, U., & Katz, N. (2006) · Textbook of Neural Repair and Rehabilitation

Virtual Reality Applications and ImpactsStroke Rehabilitation and Recovery

Cited by 265

Digital pathology and computational image analysis in nephropathology

Barisoni, L., Lafata, K. J., Hewitt, S. M., Madabhushi, A., & Balis, U. G. J. (2020) · Nature Reviews Nephrology

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 264

Explaining Data-Driven Document Classifications1

Martens, D., & Provost, F. (2014) · MIS Quarterly

Explainable Artificial Intelligence (XAI)Text and Document Classification Technologies

Cited by 264

VLN↻BERT: A Recurrent Vision-and-Language BERT for Navigation

Hong, Y., Wu, Q., Qi, Y., Rodriguez-Opazo, C., & Gould, S. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 264

Decentralized blockchain-based electronic marketplaces

Subramanian, H. (2017) · Communications of the ACM

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 264

Commonsense Knowledge Mining from Pretrained Models

Davison, J., Feldman, J., & Rush, A. (2019) · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

Topic ModelingNatural Language Processing Techniques

Cited by 264

Situation-Aware IoT Service Coordination Using the Event-Driven SOA Paradigm

Cheng, B., Zhu, D., Zhao, S., & Chen, J. (2016) · IEEE Transactions on Network and Service Management

Service-Oriented Architecture and Web ServicesIoT and Edge/Fog Computing

Cited by 264

Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-Training

Hao, W., Li, C., Li, X., Carin, L., & Gao, J. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 264

The perils and pitfalls of explainable AI: Strategies for explaining algorithmic decision-making

de Bruijn, H., Warnier, M., & Janssen, M. (2022) · Government Information Quarterly

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

Cited by 264

Information-centric networking for connected vehicles: a survey and future perspectives

Amadeo, M., Campolo, C., & Molinaro, A. (2016) · IEEE Communications Magazine

Caching and Content DeliveryVehicular Ad Hoc Networks (VANETs)

Cited by 264