Check computer science papers: citations, claims and retractions

Online Content Popularity Prediction and Learning in Wireless Edge Caching

Garg, N., Sellathurai, M., Bhatia, V., Bharath, B. N., & Ratnarajah, T. (2020) · IEEE Transactions on Communications

Caching and Content DeliveryIoT and Edge/Fog Computing

Cited by 89

Towards Interoperable Blockchains: A Survey on the Role of Smart Contracts in Blockchain Interoperability

Khan, S., Amin, M. B., Azar, A. T., & Aslam, S. (2021) · IEEE Access

Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning

Cited by 89

A Systematic Review of Transformer-Based Pre-Trained Language Models through Self-Supervised Learning

Kotei, E., & Thirunavukarasu, R. (2023) · Information

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 89

HedgeCut: Maintaining Randomised Trees for Low-Latency Machine Unlearning

Schelter, S., Grafberger, S., & Dunning, T. (2021) · Proceedings of the 2021 International Conference on Management of Data

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 89

Student skill and goal achievement in the mapping with google MOOC

Wilkowski, J., Deutsch, A., & Russell, D. M. (2014) · Proceedings of the first ACM conference on Learning @ scale conference

Online Learning and AnalyticsOnline and Blended Learning

Cited by 89

Post-Hoc Explanations Fail to Achieve their Purpose in Adversarial Contexts

Bordt, S., Finck, M., Raidl, E., & von Luxburg, U. (2022) · 2022 ACM Conference on Fairness Accountability and Transparency

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

Cited by 89

Design patterns for the industrial Internet of Things

Bloom, G., Alsulami, B., Nwafor, E., & Bertolotti, I. C. (2018) · 2018 14th IEEE International Workshop on Factory Communication Systems (WFCS)

IoT and Edge/Fog ComputingDigital Transformation in Industry

Cited by 89

Measuring the Algorithmic Efficiency of Neural Networks

Hernandez, D., & Brown, T. B. (2020) · arXiv

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 89

Emotion recognition and its application in software engineering

Kolakowska, A., Landowska, A., Szwoch, M., Szwoch, W., & Wrobel, M. R. (2013) · 2013 6th International Conference on Human System Interactions (HSI)

Emotion and Mood RecognitionSoftware Engineering Techniques and Practices

Cited by 88

VQVC+: One-Shot Voice Conversion by Vector Quantization and U-Net Architecture

Wu, D.-Y., Chen, Y.-H., & Lee, H.-Y. (2020) · Interspeech 2020

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 88

Improving Network Availability of Ultra-Reliable and Low-Latency Communications With Multi-Connectivity

She, C., Chen, Z., Yang, C., Quek, T. Q. S., Li, Y., & Vucetic, B. (2018) · IEEE Transactions on Communications

Cooperative Communication and Network CodingIoT Networks and Protocols

Cited by 88

ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models

Luo, H., E, H., Tang, Z., Peng, S., Guo, Y., Zhang, W., Ma, C., Dong, G., Song, M., Lin, W., et al. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Topic ModelingInformation Retrieval and Search Behavior

Cited by 88

A survey on deep packet inspection

El-Maghraby, R. T., Abd Elazim, N. M., & Bahaa-Eldin, A. M. (2017) · 2017 12th International Conference on Computer Engineering and Systems (ICCES)

Network Packet Processing and OptimizationNetwork Security and Intrusion Detection

Cited by 88

Paying for Likes?: Understanding Facebook Like Fraud Using Honeypots

De Cristofaro, E., Friedman, A., Jourjon, G., Kaafar, M. A., & Shafiq, M. Z. (2014) · Proceedings of the 2014 Conference on Internet Measurement Conference

Spam and Phishing DetectionComplex Network Analysis Techniques

Cited by 88

Neural predictor based quantum architecture search

Zhang, S.-X., Hsieh, C.-Y., Zhang, S., & Yao, H. (2021) · Machine Learning: Science and Technology

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 88

The effects of pair-programming on performance in an introductory programming course

McDowell, C., Werner, L., Bullock, H., & Fernald, J. (2002) · ACM SIGCSE Bulletin

Teaching and Learning ProgrammingProblem and Project Based Learning

Cited by 88

X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models

Jiang, Z., Anastasopoulos, A., Araki, J., Ding, H., & Neubig, G. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Topic ModelingNatural Language Processing Techniques

Cited by 88

Classification-Based and Energy-Efficient Dynamic Task Scheduling Scheme for Virtualized Cloud Data Center

Marahatta, A., Pirbhulal, S., Zhang, F., Parizi, R. M., Choo, K.-K. R., & Liu, Z. (2021) · IEEE Transactions on Cloud Computing

Cloud Computing and Resource ManagementEnergy Efficiency in Computing

Cited by 88

The politics of comments: predicting political orientation of news stories with commenters' sentiment patterns

Park, S., Ko, M., Kim, J., Liu, Y., & Song, J. (2011) · Proceedings of the ACM 2011 conference on Computer supported cooperative work

Sentiment Analysis and Opinion MiningHate Speech and Cyberbullying Detection

Cited by 88

ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts

Cai, M., Liu, H., Mustikovela, S. K., Meyer, G. P., Chai, Y., Park, D., & Lee, Y. J. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsVisual Attention and Saliency Detection

Cited by 88

For Fixed Control Parameters the Quantum Approximate Optimization Algorithm's Objective Function Value Concentrates for Typical Instances

Brandao, F. G. S. L., Broughton, M., Farhi, E., Gutmann, S., & Neven, H. (2018) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 88

Generate & Rank: A Multi-task Framework for Math Word Problems

Shen, J., Yin, Y., Li, L., Shang, L., Jiang, X., Zhang, M., & Liu, Q. (2021) · Findings of the Association for Computational Linguistics: EMNLP 2021

Topic ModelingMathematics, Computing, and Information Processing

Cited by 88

A Good Image Generator Is What You Need for High-Resolution Video Synthesis

Tian, Y., Ren, J., Chai, M., Olszewski, K., Peng, X., Metaxas, D. N., & Tulyakov, S. (2021) · arXiv

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 88

Why value sensitive design needs ethical commitments

Jacobs, N., & Huldtgren, A. (2021) · Ethics and Information Technology

Ethics and Social Impacts of AIInnovative Human-Technology Interaction

Cited by 88