Check computer science papers: citations, claims and retractions

Asking and Answering Questions to Evaluate the Factual Consistency of Summaries

Wang, A., Cho, K., & Lewis, M. (2020) · arXiv

Topic ModelingAdvanced Text Analysis Techniques

Cited by 356

Information dropout: learning optimal representations through noisy computation

Achille, A., & Soatto, S. (2018) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Neural Networks and ApplicationsStochastic Gradient Optimization Techniques

Cited by 356

Music, Search, and IoT: How People (Really) Use Voice Assistants

Ammari, T., Kaye, J., Tsai, J. Y., & Bentley, F. (2019) · ACM Transactions on Computer-Human Interaction

Speech and dialogue systemsAI in Service Interactions

Cited by 356

Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network

Meng, H., Yan, T., Yuan, F., & Wei, H. (2019) · IEEE Access

Emotion and Mood RecognitionSpeech Recognition and Synthesis

Cited by 356

Comparison of Three Evolutionary Algorithms: GA, PSO, and DE

Kachitvichyanukul, V. (2012) · Industrial Engineering and Management Systems

Metaheuristic Optimization Algorithms ResearchScheduling and Optimization Algorithms

Cited by 355

Message Passing Algorithms for Scalable Multitarget Tracking

Meyer, F., Kropfreiter, T., Williams, J. L., Lau, R., Hlawatsch, F., Braca, P., & Win, M. Z. (2018) · Proceedings of the IEEE

Target Tracking and Data Fusion in Sensor NetworksRadar Systems and Signal Processing

Cited by 355

Second workshop on information heterogeneity and fusion in recommender systems (HetRec2011)

Cantador, I., Brusilovsky, P., & Kuflik, T. (2011) · Proceedings of the fifth ACM conference on Recommender systems

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 355

EdgeWrite: a stylus-based text entry method designed for high accuracy and stability of motion

Wobbrock, J. O., Myers, B. A., & Kembel, J. A. (2003) · Proceedings of the 16th annual ACM symposium on User interface software and technology

Interactive and Immersive DisplaysGaze Tracking and Assistive Technology

Cited by 355

Parameterized Explainer for Graph Neural Network

Luo, D., Cheng, W., Xu, D., Yu, W., Zong, B., Chen, H., & Zhang, X. (2020) · arXiv

Explainable Artificial Intelligence (XAI)Advanced Graph Neural Networks

Cited by 355

The painful face – Pain expression recognition using active appearance models

Ashraf, A. B., Lucey, S., Cohn, J. F., Chen, T., Ambadar, Z., Prkachin, K. M., & Solomon, P. E. (2009) · Image and Vision Computing

Face recognition and analysisEmotion and Mood Recognition

Cited by 355

Exploring Categorical Regularization for Domain Adaptive Object Detection

Xu, C.-D., Zhao, X.-R., Jin, X., & Wei, X.-S. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 355

Predicting academic performance: a systematic literature review

Hellas, A., Ihantola, P., Petersen, A., Ajanovski, V. V., Gutica, M., Hynninen, T., Knutas, A., Leinonen, J., Messom, C., & Liao, S. N. (2018) · Proceedings Companion of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 355

Multimodal Few-Shot Learning with Frozen Language Models

Tsimpoukelli, M., Menick, J., Cabi, S., Eslami, S. M. A., Vinyals, O., & Hill, F. (2021) · arXiv

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 355

A meta-analysis of the effectiveness of intelligent tutoring systems on college students’ academic learning.

Steenbergen-Hu, S., & Cooper, H. (2014) · Journal of Educational Psychology

Intelligent Tutoring Systems and Adaptive LearningInnovative Teaching and Learning Methods

Cited by 355

Explanations in Autonomous Driving: A Survey

Omeiza, D., Webb, H., Jirotka, M., & Kunze, L. (2022) · IEEE Transactions on Intelligent Transportation Systems

Explainable Artificial Intelligence (XAI)Autonomous Vehicle Technology and Safety

Cited by 355

Methodology for quantum logic gate construction

Zhou, X., Leung, D. W., & Chuang, I. L. (2000) · Physical Review A

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 355

The Second Conversational Intelligence Challenge (ConvAI2)

Dinan, E., Logacheva, V., Malykh, V., Miller, A., Shuster, K., Urbanek, J., Kiela, D., Szlam, A., Serban, I., Lowe, R., et al. (2019) · arXiv

Speech and dialogue systemsAI in Service Interactions

Cited by 355

Video Object Segmentation without Temporal Information

Maninis, K.-K., Caelles, S., Chen, Y., Pont-Tuset, J., Leal-Taixe, L., Cremers, D., & Van Gool, L. (2019) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 354

MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network

Zhang, Z., Xie, Y., Xing, F., McGough, M., & Yang, L. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsAI in cancer detection

Cited by 354

Weight Poisoning Attacks on Pretrained Models

Kurita, K., Michel, P., & Neubig, G. (2020) · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 354

Computer- vs. paper-based tasks: Are they equivalent?

Noyes, J. M., & Garland, K. J. (2008) · Ergonomics

Usability and User Interface DesignOnline and Blended Learning

Cited by 354

A Review of Data Quality Assessment Methods for Public Health Information Systems

Chen, H., Hailey, D., Wang, N., & Yu, P. (2014) · International Journal of Environmental Research and Public Health

Data Quality and ManagementMedical Coding and Health Information

Cited by 354

Optimization using quantum mechanics: quantum annealing through adiabatic evolution

Santoro, G. E., & Tosatti, E. (2006) · Journal of Physics A: Mathematical and General

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 354

Two-Level Approach for No-Reference Consumer Video Quality Assessment

Korhonen, J. (2019) · IEEE Transactions on Image Processing

Image and Video Quality AssessmentImage Retrieval and Classification Techniques

Cited by 354