Check computer science papers: citations, claims and retractions

Tumor-Cut: Segmentation of Brain Tumors on Contrast Enhanced MR Images for Radiosurgery Applications

Hamamci, A., Kucuk, N., Karaman, K., Engin, K., & Unal, G. (2012) · IEEE Transactions on Medical Imaging

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 286

Energy-Efficient Radio Resource Allocation for Federated Edge Learning

Zeng, Q., Du, Y., Huang, K., & Leung, K. K. (2020) · 2020 IEEE International Conference on Communications Workshops (ICC Workshops)

IoT and Edge/Fog ComputingPrivacy-Preserving Technologies in Data

Cited by 286

Double image encryption by using iterative random binary encoding in gyrator domains

Liu, Z., Guo, Q., Xu, L., Ahmad, M. A., & Liu, S. (2010) · Optics Express

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 286

Blockchain-enabled Federated Learning: A Survey

Qu, Y., Uddin, M. P., Gan, C., Xiang, Y., Gao, L., & Yearwood, J. (2023) · ACM Computing Surveys

Privacy-Preserving Technologies in DataBlockchain Technology Applications and Security

Cited by 286

Data sharing, small science and institutional repositories

Cragin, M. H., Palmer, C. L., Carlson, J. R., & Witt, M. (2010) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Research Data Management PracticesData Analysis and Archiving

Cited by 286

Explaining models: an empirical study of how explanations impact fairness judgment

Dodge, J., Liao, Q. V., Zhang, Y., Bellamy, R. K. E., & Dugan, C. (2019) · Proceedings of the 24th International Conference on Intelligent User Interfaces

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

Cited by 286

RAFT: Adapting Language Model to Domain Specific RAG

Zhang, T., Patil, S. G., Jain, N., Shen, S., Zaharia, M., Stoica, I., & Gonzalez, J. E. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 286

Blockchain and AI-Based Solutions to Combat Coronavirus (COVID-19)-Like Epidemics: A Survey

Nguyen, D. C., Ding, M., Pathirana, P. N., & Seneviratne, A. (2021) · IEEE Access

Blockchain Technology Applications and SecurityCOVID-19 Digital Contact Tracing

Cited by 286

When Will AI Exceed Human Performance? Evidence from AI Experts

Grace, K., Salvatier, J., Dafoe, A., Zhang, B., & Evans, O. (2017) · arXiv

Artificial Intelligence ApplicationsEthics and Social Impacts of AI

Cited by 285

Deep learning outperformed 11 pathologists in the classification of histopathological melanoma images

Hekler, A., Utikal, J. S., Enk, A. H., Solass, W., Schmitt, M., Klode, J., Schadendorf, D., Sondermann, W., Franklin, C., Bestvater, F., et al. (2019) · European Journal of Cancer

AI in cancer detectionCutaneous Melanoma Detection and Management

Cited by 285

Generalization through Memorization: Nearest Neighbor Language Models

Khandelwal, U., Levy, O., Jurafsky, D., Zettlemoyer, L., & Lewis, M. (2019) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 285

Clotho: an Audio Captioning Dataset

Drossos, K., Lipping, S., & Virtanen, T. (2020) · ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Music and Audio ProcessingSpeech Recognition and Synthesis

Cited by 285

State management in Apache Flink®: Consistent stateful distributed stream processing

Carbone, P., Ewen, S., Fóra, G., Haridi, S., Richter, S., & Tzoumas, K. (2017) · Proceedings of the VLDB Endowment

Advanced Database Systems and QueriesDistributed systems and fault tolerance

Cited by 285

Human-centered design for global health equity

Holeman, I., & Kane, D. (2020) · Information Technology for Development

Innovative Human-Technology InteractionInnovative Approaches in Technology and Social Development

Cited by 285

Designing mobile interfaces for novice and low-literacy users

Medhi, I., Patnaik, S., Brunskill, E., Gautama, S. N. N., Thies, W., & Toyama, K. (2011) · ACM Transactions on Computer-Human Interaction

Usability and User Interface DesignICT in Developing Communities

Cited by 285

A Survey of Privacy Attacks in Machine Learning

Rigaki, M., & Garcia, S. (2024) · ACM Computing Surveys

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 285

When do we interact multimodally?: cognitive load and multimodal communication patterns

Oviatt, S., Coulston, R., & Lunsford, R. (2004) · Proceedings of the 6th international conference on Multimodal interfaces

Usability and User Interface DesignSpeech and dialogue systems

Cited by 285

Artificial intelligence in oil and gas upstream: Trends, challenges, and scenarios for the future

Koroteev, D., & Tekic, Z. (2021) · Energy and AI

Artificial Intelligence ApplicationsImpact of AI and Big Data on Business and Society

Cited by 285

Implementing a distance-based classifier with a quantum interference circuit

Schuld, M., Fingerhuth, M., & Petruccione, F. (2017) · EPL (Europhysics Letters)

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 285

Toward automatic program synthesis

Manna, Z., & Waldinger, R. J. (1971) · Communications of the ACM

Logic, programming, and type systemsComputability, Logic, AI Algorithms

Cited by 285

Counterfactuals in Explainable Artificial Intelligence (XAI): Evidence from Human Reasoning

Byrne, R. M. J. (2019) · Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence

Explainable Artificial Intelligence (XAI)Logic, Reasoning, and Knowledge

Cited by 285

Solving strongly correlated electron models on a quantum computer

Wecker, D., Hastings, M. B., Wiebe, N., Clark, B. K., Nayak, C., & Troyer, M. (2015) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 285

Understanding Distributed Poisoning Attack in Federated Learning

Cao, D., Chang, S., Lin, Z., Liu, G., & Sun, D. (2019) · 2019 IEEE 25th International Conference on Parallel and Distributed Systems (ICPADS)

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 285

Malicious Software Classification Using Transfer Learning of ResNet-50 Deep Neural Network

Rezende, E., Ruppert, G., Carvalho, T., Ramos, F., & de Geus, P. (2017) · 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA)

Advanced Malware Detection TechniquesSecurity and Verification in Computing

Cited by 285