Check computer science papers: citations, claims and retractions

Semi-Supervised Contrastive Learning With Similarity Co-Calibration

Zhang, Y., Zhang, X., Li, J., Qiu, R. C., Xu, H., & Tian, Q. (2023) · IEEE Transactions on Multimedia

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 67

Improving software developers' fluency by recommending development environment commands

Murphy-Hill, E., Jiresal, R., & Murphy, G. C. (2012) · Proceedings of the ACM SIGSOFT 20th International Symposium on the Foundations of Software Engineering

Software Engineering ResearchRecommender Systems and Techniques

Cited by 67

Automatically Generating Test Cases for Specification Mining

Dallmeier, V., Knopp, N., Mallon, C., Fraser, G., Hack, S., & Zeller, A. (2012) · IEEE Transactions on Software Engineering

Software Testing and Debugging TechniquesLogic, programming, and type systems

Cited by 67

“Combating replay attacks against voice assistants,”

Pradhan, S., Sun, W., Baig, G., & Qiu, L. (2019) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Biometric Identification and SecuritySpeech Recognition and Synthesis

Cited by 67

What Makes Good Contrastive Learning on Small-Scale Wearable-based Tasks?

Qian, H., Tian, T., & Miao, C. (2022) · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Domain Adaptation and Few-Shot LearningContext-Aware Activity Recognition Systems

Cited by 67

Ovarian tumor diagnosis using deep convolutional neural networks and a denoising convolutional autoencoder

Jung, Y., Kim, T., Han, M.-R., Kim, S., Kim, G., Lee, S., & Choi, Y. J. (2022) · Scientific Reports

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 67

Biased data, biased AI: deep networks predict the acquisition site of TCGA images

Dehkharghanian, T., Bidgoli, A. A., Riasatian, A., Mazaheri, P., Campbell, C. J. V., Pantanowitz, L., Tizhoosh, H. R., & Rahnamayan, S. (2023) · Diagnostic Pathology

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 67

Spreadsheet Comprehension: Guesswork, Giving Up and Going Back to the Author

Srinivasa Ragavan, S., Sarkar, A., & Gordon, A. D. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Spreadsheets and End-User ComputingData Visualization and Analytics

Cited by 67

Inside the Black Box: Detecting and Mitigating Algorithmic Bias Across Racialized Groups in College Student-Success Prediction

Gándara, D., Anahideh, H., Ison, M. P., & Picchiarini, L. (2024) · AERA Open

Ethics and Social Impacts of AIOnline Learning and Analytics

Cited by 67

Property Inference from Poisoning

Mahloujifar, S., Ghosh, E., & Chase, M. (2022) · 2022 IEEE Symposium on Security and Privacy (SP)

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 67

A hybrid quantum computing pipeline for real world drug discovery

Li, W., Yin, Z., Li, X., Ma, D., Yi, S., Zhang, Z., Zou, C., Bu, K., Dai, M., Yue, J., et al. (2024) · Scientific Reports

Quantum Computing Algorithms and ArchitectureComputational Drug Discovery Methods

Cited by 67

Towards relatable explainable AI with the perceptual process

Zhang, W., & Lim, B. Y. (2022) · CHI Conference on Human Factors in Computing Systems

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

Cited by 67

The sexist algorithm

Hamilton, M. (2019) · Behavioral Sciences & the Law

Ethics and Social Impacts of AICriminal Justice and Corrections Analysis

Cited by 67

A Review on Imbalanced Data Classification Techniques

Basha, S. J., Madala, S. R., Vivek, K., Kumar, E. S., & Ammannamma, T. (2022) · 2022 International Conference on Advanced Computing Technologies and Applications (ICACTA)

Imbalanced Data Classification TechniquesMachine Learning and Data Classification

Cited by 67

Automated voice biomarkers for depression symptoms using an online cross-sectional data collection initiative

Zhang, L., Duvvuri, R., Chandra, K. K. L., Nguyen, T., & Ghomi, R. H. (2020) · Depression and Anxiety

Emotion and Mood RecognitionDigital Mental Health Interventions

Cited by 67

3D-2D Registration of Cerebral Angiograms: A Method and Evaluation on Clinical Images

Mitrovic, U., Spiclin, Z., Likar, B., & Pernus, F. (2013) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesVascular Malformations Diagnosis and Treatment

Cited by 67

SALMONN: Towards Generic Hearing Abilities for Large Language Models

Tang, C., Yu, W., Sun, G., Chen, X., Tan, T., Li, W., Lu, L., Ma, Z., & Zhang, C. (2023) · arXiv

Speech Recognition and SynthesisMultimodal Machine Learning Applications

Cited by 67

Barriers to the Implementation of AI in Organizations: Findings from a Delphi Study

Bérubé, M., Giannelia, T., & Vial, G. (2021) · Proceedings of the Annual Hawaii International Conference on System Sciences

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

Cited by 67

Kickstarting Deep Reinforcement Learning

Schmitt, S., Hudson, J. J., Zidek, A., Osindero, S., Doersch, C., Czarnecki, W. M., Leibo, J. Z., Kuttler, H., Zisserman, A., Simonyan, K., et al. (2018) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 67

A survey on outlier explanations

Panjei, E., Gruenwald, L., Leal, E., Nguyen, C., & Silvia, S. (2022) · The VLDB Journal

Anomaly Detection Techniques and ApplicationsExplainable Artificial Intelligence (XAI)

Cited by 67

COVID-19, artificial intelligence, ethical challenges and policy implications

Anshari, M., Hamdan, M., Ahmad, N., Ali, E., & Haidi, H. (2023) · AI & SOCIETY

Ethics and Social Impacts of AICOVID-19 Digital Contact Tracing

Cited by 67

Systematic testing of three Language Models reveals low language accuracy, absence of response stability, and a yes-response bias

Dentella, V., Günther, F., & Leivada, E. (2023) · Proceedings of the National Academy of Sciences

Natural Language Processing TechniquesSyntax, Semantics, Linguistic Variation

Cited by 67

LLM4Decompile: Decompiling Binary Code with Large Language Models

Tan, H., Luo, Q., Li, J., & Zhang, Y. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Software Engineering ResearchSecurity and Verification in Computing

Cited by 67

Performance of GCC- and AMDF-Based Time-Delay Estimation in Practical Reverberant Environments

Chen, J., Benesty, J., & Huang, Y. (. (2005) · EURASIP Journal on Advances in Signal Processing

Speech and Audio ProcessingDirection-of-Arrival Estimation Techniques

Cited by 67