Check computer science papers: citations, claims and retractions

BigVGAN: A Universal Neural Vocoder with Large-Scale Training

Lee, S.-G., Ping, W., Ginsburg, B., Catanzaro, B., & Yoon, S. (2022) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 103

Clear as MUD: Generating, Validating and Applying IoT Behavioral Profiles

Hamza, A., Ranathunga, D., Gharakheili, H. H., Roughan, M., & Sivaraman, V. (2018) · Proceedings of the 2018 Workshop on IoT Security and Privacy

IoT and Edge/Fog ComputingNetwork Security and Intrusion Detection

Cited by 103

The role of domain expertise in trusting and following explainable AI decision support systems

Bayer, S., Gimpel, H., & Markgraf, M. (2022) · Journal of Decision Systems

Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety

Cited by 103

Implications for Adoption

Lindley, J., Coulton, P., & Sturdee, M. (2017) · Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 103

Automatic parallelization of divide and conquer algorithms

Rugina, R., & Rinard, M. (1999) · Proceedings of the seventh ACM SIGPLAN symposium on Principles and practice of parallel programming

Parallel Computing and Optimization TechniquesLogic, programming, and type systems

Cited by 103

CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds

Weng, Y., Wang, H., Zhou, Q., Qin, Y., Duan, Y., Fan, Q., Chen, B., Su, H., & Guibas, L. J. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

3D Shape Modeling and AnalysisRobot Manipulation and Learning

Cited by 103

Landmark detection for distinctive feature-based speech recognition

Liu, S. A. (1996) · The Journal of the Acoustical Society of America

Speech Recognition and SynthesisPhonetics and Phonology Research

Cited by 103

Deep Neural Network Ensembles for Time Series Classification

Ismail Fawaz, H., Forestier, G., Weber, J., Idoumghar, L., & Muller, P.-A. (2019) · 2019 International Joint Conference on Neural Networks (IJCNN)

Time Series Analysis and ForecastingMusic and Audio Processing

Cited by 103

Understanding Practices, Challenges, and Opportunities for User-Engaged Algorithm Auditing in Industry Practice

Deng, W. H., Guo, B., Devrio, A., Shen, H., Eslami, M., & Holstein, K. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 103

Data-Centric Explanations: Explaining Training Data of Machine Learning Systems to Promote Transparency

Anik, A. I., & Bunt, A. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

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

Cited by 103

Offensive, aggressive, and hate speech analysis: From data-centric to human-centered approach

Kocoń, J., Figas, A., Gruza, M., Puchalska, D., Kajdanowicz, T., & Kazienko, P. (2021) · Information Processing & Management

Hate Speech and Cyberbullying DetectionSentiment Analysis and Opinion Mining

Cited by 103

Off-the-shelf vision for a robotic ball catcher

Frese, U., Bauml, B., Haidacher, S., Schreiber, G., Schaefer, I., Hahnle, M., & Hirzinger, G. (2002) · Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180)

Advanced Vision and ImagingVideo Surveillance and Tracking Methods

Cited by 103

An Overview of Emotion in Artificial Intelligence

Assunção, G., Patrão, B., Castelo-Branco, M., & Menezes, P. (2022) · IEEE Transactions on Artificial Intelligence

Psychiatry, Mental Health, NeuroscienceEmotion and Mood Recognition

Cited by 103

An Animal Detection Pipeline for Identification

Parham, J., Stewart, C., Crall, J., Rubenstein, D., Holmberg, J., & Berger-Wolf, T. (2018) · 2018 IEEE Winter Conference on Applications of Computer Vision (WACV)

Advanced Neural Network ApplicationsWildlife Ecology and Conservation

Cited by 103

Self-Supervised Contrastive Learning for Code Retrieval and Summarization via Semantic-Preserving Transformations

Bui, N. D. Q., Yu, Y., & Jiang, L. (2021) · Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval

Software Engineering ResearchTopic Modeling

Cited by 103

AI-enabled image fraud in scientific publications

Gu, J., Wang, X., Li, C., Zhao, J., Fu, W., Liang, G., & Qiu, J. (2022) · Patterns

Digital Media Forensic DetectionAcademic integrity and plagiarism

Cited by 103

Quantum Computing in the Next-Generation Computational Biology Landscape: From Protein Folding to Molecular Dynamics

Pal, S., Bhattacharya, M., Lee, S.-S., & Chakraborty, C. (2024) · Molecular Biotechnology

Quantum Computing Algorithms and ArchitectureDNA and Biological Computing

Cited by 103

Web Stereo Video Supervision for Depth Prediction from Dynamic Scenes

Wang, C., Lucey, S., Perazzi, F., & Wang, O. (2019) · 2019 International Conference on 3D Vision (3DV)

Advanced Vision and ImagingRobotics and Sensor-Based Localization

Cited by 103

NaVid: Video-based VLM Plans the Next Step for Vision-and-Language Navigation

Zhang, J., Wang, K., Xu, R., Zhou, G., Hong, Y., Fang, X., Wu, Q., Zhang, Z., & Wang, H. (2024) · Robotics: Science and Systems XX

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 103

Towards MLOps: A Case Study of ML Pipeline Platform

Zhou, Y., Yu, Y., & Ding, B. (2020) · 2020 International Conference on Artificial Intelligence and Computer Engineering (ICAICE)

Software System Performance and ReliabilityScientific Computing and Data Management

Cited by 103

Optimizing risk-based breast cancer screening policies with reinforcement learning

Yala, A., Mikhael, P. G., Lehman, C., Lin, G., Strand, F., Wan, Y.-L., Hughes, K., Satuluru, S., Kim, T., Banerjee, I., et al. (2022) · Nature Medicine

AI in cancer detectionGlobal Cancer Incidence and Screening

Cited by 103

Towards real-time Speech Emotion Recognition using deep neural networks

Fayek, H. M., Lech, M., & Cavedon, L. (2015) · 2015 9th International Conference on Signal Processing and Communication Systems (ICSPCS)

Emotion and Mood RecognitionSpeech Recognition and Synthesis

Cited by 103

Searching a quantum phone book

Brassard, G. (1997) · Science

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 103

First Analysis of Local GD on Heterogeneous Data

Khaled, A., Mishchenko, K., & Richtárik, P. (2019) · arXiv

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 103