Check computer science papers: citations, claims and retractions

Serializable isolation for snapshot databases

Cahill, M. J., Röhm, U., & Fekete, A. D. (2008) · Proceedings of the 2008 ACM SIGMOD international conference on Management of data

Distributed systems and fault toleranceAdvanced Database Systems and Queries

Cited by 120

LLM-Based Test-Driven Interactive Code Generation: User Study and Empirical Evaluation

Fakhoury, S., Naik, A., Sakkas, G., Chakraborty, S., & Lahiri, S. K. (2024) · IEEE Transactions on Software Engineering

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 120

Exposing image splicing with inconsistent local noise variances

Pan, X., Zhang, X., & Lyu, S. (2012) · 2012 IEEE International Conference on Computational Photography (ICCP)

Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques

Cited by 120

Information security breaches due to ransomware attacks - a systematic literature review

Reshmi, T. R. (2021) · International Journal of Information Management Data Insights

Advanced Malware Detection TechniquesInformation and Cyber Security

Cited by 120

Fully end-to-end deep-learning-based diagnosis of pancreatic tumors

Si, K., Xue, Y., Yu, X., Zhu, X., Li, Q., Gong, W., Liang, T., & Duan, S. (2021) · Theranostics

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 120

A semiautomatic CT-based ensemble segmentation of lung tumors: Comparison with oncologists’ delineations and with the surgical specimen

Rios Velazquez, E., Aerts, H. J. W. L., Gu, Y., Goldgof, D. B., De Ruysscher, D., Dekker, A., Korn, R., Gillies, R. J., & Lambin, P. (2012) · Radiotherapy and Oncology

Medical Image Segmentation TechniquesLung Cancer Diagnosis and Treatment

Cited by 120

Quantum walks on a random environment

Yin, Y., Katsanos, D. E., & Evangelou, S. N. (2008) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications

Cited by 120

Constrained Variational Quantum Eigensolver: Quantum Computer Search Engine in the Fock Space

Ryabinkin, I. G., Genin, S. N., & Izmaylov, A. F. (2019) · Journal of Chemical Theory and Computation

Quantum Computing Algorithms and ArchitectureAdvanced Chemical Physics Studies

Cited by 120

Estimating the recall performance of Web search engines

Clarke, S. J., & Willett, P. (1997) · Aslib Proceedings

Information Retrieval and Search BehaviorWeb Data Mining and Analysis

Cited by 120

Responsible AI: Requirements and challenges

Ghallab, M. (2019) · AI Perspectives

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 120

2D-3D rigid registration of X-ray fluoroscopy and CT images using mutual information and sparsely sampled histogram estimators

Zollei, L., Grimson, E., Norbash, A., & Wells, W. (2005) · Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001

Medical Image Segmentation TechniquesAdvanced Radiotherapy Techniques

Cited by 120

Can recurrent neural networks warp time?

Tallec, C., & Ollivier, Y. (2018) · arXiv

Neural Networks and ApplicationsHydrological Forecasting Using AI

Cited by 120

The growing ubiquity of algorithms in society: implications, impacts and innovations

Olhede, S. C., & Wolfe, P. J. (2018) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 120

Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces

Yang, J., Yang, S., Gupta, A. W., Han, R., Fei-Fei, L., & Xie, S. (2024) · arXiv

Multimodal Machine Learning ApplicationsSpatial Cognition and Navigation

Cited by 120

Measurements as a roadblock to near-term practical quantum advantage in chemistry: resource analysis

Gonthier, J. F., Radin, M. D., Buda, C., Doskocil, E. J., Abuan, C. M., & Romero, J. (2022) · Physical Review Research

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 120

Denoising Pretraining for Semantic Segmentation

Brempong, E. A., Kornblith, S., Chen, T., Parmar, N., Minderer, M., & Norouzi, M. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 120

WizardCoder: Empowering Code Large Language Models with Evol-Instruct

Luo, Z., Xu, C., Zhao, P., Sun, Q., Geng, X., Hu, W., Tao, C., Ma, J., Lin, Q., & Jiang, D. (2023) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 120

Exploiting deep matching and sar data for the geo-localization accuracy improvement of optical satellite images

Merkle, N., Luo, W., Auer, S., Müller, R., & Urtasun, R. (2017) · Remote Sensing

Satellite Image Processing and PhotogrammetryAdvanced Image and Video Retrieval Techniques

Cited by 120

Machine Learning in Adversarial Settings

McDaniel, P., Papernot, N., & Celik, Z. B. (2016) · IEEE Security & Privacy

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 120

Networking Architectures and Protocols for IoT Applications in Smart Cities: Recent Developments and Perspectives

Kanellopoulos, D., Sharma, V. K., Panagiotakopoulos, T., & Kameas, A. (2023) · Electronics

IoT and Edge/Fog ComputingIoT Networks and Protocols

Cited by 120

DataComp: In search of the next generation of multimodal datasets

Gadre, S. Y., Ilharco, G., Fang, A., Hayase, J., Smyrnis, G., Nguyen, T., Marten, R., Wortsman, M., Ghosh, D., Zhang, J., et al. (2023) · Advances in Neural Information Processing Systems 36

Multimodal Machine Learning ApplicationsImage Retrieval and Classification Techniques

Cited by 120

Abstractive Summarization: A Survey of the State of the Art

Lin, H., & Ng, V. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

Topic ModelingAdvanced Text Analysis Techniques

Cited by 120

Construction of model Hamiltonians for adiabatic quantum computation and its application to finding low-energy conformations of lattice protein models

Perdomo, A., Truncik, C., Tubert-Brohman, I., Rose, G., & Aspuru-Guzik, A. (2008) · Physical Review A

Quantum Computing Algorithms and ArchitectureDNA and Biological Computing

Cited by 120

Lessons Learned for AI Education with Elementary Students and Teachers

Ottenbreit-Leftwich, A., Glazewski, K., Jeon, M., Jantaraweragul, K., Hmelo-Silver, C. E., Scribner, A., Lee, S., Mott, B., & Lester, J. (2023) · International Journal of Artificial Intelligence in Education

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 120