Check computer science papers: citations, claims and retractions

A space-efficient quantum computer simulator suitable for high-speed FPGA implementation

Frank, M. P., Oniciuc, L., Meyer-Baese, U. H., & Chiorescu, I. (2009) · SPIE Proceedings

Quantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications

Cited by 14

Question Generation With Doubly Adversarial Nets

Bao, J., Gong, Y., Duan, N., Zhou, M., & Zhao, T. (2018) · IEEE/ACM Transactions on Audio, Speech, and Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 14

REAL-TIME OBJECT DETECTION AND TRACKING FOR INDUSTRIAL APPLICATIONS

Benhimane, S., Najafi, H., Grundmann, M., Genç, Y., Navab, N., & Malis, E. (2008) · Proceedings of the Third International Conference on Computer Vision Theory and Applications

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 14

Who Is Welcome Here? A Culturally Responsive Content Analysis of Makerspace Websites

Kye, H. (2020) · Journal of Pre-College Engineering Education Research (J-PEER)

Teaching and Learning ProgrammingCareer Development and Diversity

Cited by 14

Introducing a new intelligent adaptive learning content generation method

Haghshenas, E., Mazaheri, A., Gholipour, A., Tavakoli, M., Zandi, N., Narimani, H., Rahimi, F., & Nouri, S. (2010) · The Second International Conference on E-Learning and E-Teaching (ICELET 2010)

Intelligent Tutoring Systems and Adaptive LearningEducational Technology and Assessment

Cited by 14

Automatic detection of phonological errors in child speech using siamese recurrent autoencoder

Ng, S.-I., & Lee, T. (2020) · Interspeech 2020

Speech Recognition and SynthesisLanguage Development and Disorders

Cited by 14

Perceptual image hashing using SVD based Noise Resistant Local Binary Pattern

Abbas, S. Q., Ahmed, F., Zivic, N., & Ur-Rehman, O. (2016) · 2016 8th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)

Advanced Steganography and Watermarking TechniquesDigital Media Forensic Detection

Cited by 14

A Wrong Answer or a Wrong Question? An Intricate Relationship between Question Reformulation and Answer Selection in Conversational Question Answering

Vakulenko, S., Longpre, S., Tu, Z., & Anantha, R. (2020) · Proceedings of the 5th International Workshop on Search-Oriented Conversational AI (SCAI)

Topic ModelingInformation Retrieval and Search Behavior

Cited by 14

Exploring the Usability of Mobile Apps Supporting Radiologists’ Training in Diagnostic Decision Making

Kim, M. S., Aro, M. R., Lage, K. J., Ingalls, K. L., Sindhwani, V., & Markey, M. K. (2016) · Journal of the American College of Radiology

Usability and User Interface DesignRadiology practices and education

Cited by 14

Ethical and Legal Considerations behind the Prevalence of ChatGPT: Risks and Regulations

Rao, H. (2023) · Frontiers in Computing and Intelligent Systems

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 14

History-Aware Hierarchical Transformer for Multi-session Open-domain Dialogue System

Zhang, T., Liu, Y., Li, B., Zeng, Z., Wang, P., You, Y., Miao, C., & Cui, L. (2022) · Findings of the Association for Computational Linguistics: EMNLP 2022

Speech and dialogue systemsTopic Modeling

Cited by 14

Utilizing timestamps of longitudinal electronic health record data to classify clinical deterioration events

Fu, L.-H., Knaplund, C., Cato, K., Perotte, A., Kang, M.-J., Dykes, P. C., Albers, D., & Collins Rossetti, S. (2021) · Journal of the American Medical Informatics Association

Machine Learning in HealthcareHealthcare Technology and Patient Monitoring

Cited by 14

Cyberbullying detection: Exploring datasets, technologies, and approaches on social media platforms

Philipo, A. G., Sarwatt, D. S., Ding, J., Daneshmand, M., & Ning, H. (2026) · ACM Computing Surveys

Hate Speech and Cyberbullying DetectionSpam and Phishing Detection

Cited by 14

GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher

Yuan, Y., Jiao, W., Wang, W., Huang, J.-T., He, P., Shi, S., & Tu, Z. (2023) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 14

Call for Papers -- The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus

Warstadt, A., Choshen, L., Mueller, A., Williams, A., Wilcox, E., & Zhuang, C. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 14

The Edinburgh/JHU Phrase-based Machine Translation Systems for WMT~2015

Haddow, B., Huck, M., Birch, A., Bogoychev, N., & Koehn, P. (2015) · Proceedings of the Tenth Workshop on Statistical Machine Translation

Natural Language Processing TechniquesSpeech Recognition and Synthesis

Cited by 14

AI Ethics

Africa Institute For Regulatory Affairs LBG, & Mensah, G. B. (2024) · Africa Journal For Regulatory Affairs

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 14

Exploiting Cross Domain Acoustic-to-Articulatory Inverted Features for Disordered Speech Recognition

Hu, S., Liu, S., Xie, X., Geng, M., Wang, T., Hu, S., Cui, M., Liu, X., & Meng, H. (2022) · ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 14

Application of Machine Learning on Student Data for the Appraisal of Academic Performance

Alloghani, M., Al-Jumeily, D., Hussain, A., Aljaaf, A. J., Mustafina, J., & Petrov, E. (2018) · 2018 11th International Conference on Developments in eSystems Engineering (DeSE)

Online Learning and AnalyticsData Mining and Machine Learning Applications

Cited by 14

Looking for Clues to Failures in Large-Scale, Public Sector Projects: A Case Study

Purao, S., & Desouza, K. (2011) · 2011 44th Hawaii International Conference on System Sciences

Software Engineering Techniques and PracticesConstruction Project Management and Performance

Cited by 14

The Instruction Hierarchy: Training LLMs to Prioritize Privileged Instructions

Wallace, E., Xiao, K., Leike, R., Weng, L., Heidecke, J., & Beutel, A. (2024) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 14

AI-Empowered Management and Orchestration of Vehicular Systems in the Beyond 5G Era

Slamnik-Kriještorac, N., Camelo, M., Chang, C.-Y., Soto, P., Cominardi, L., De Vleeschauwer, D., Latré, S., & Marquez-Barja, J. M. (2023) · IEEE Network

Software-Defined Networks and 5GVehicular Ad Hoc Networks (VANETs)

Cited by 14

Semi-Supervised Deep Domain Adaptation for Deepfake Detection

Seraj, M. S., Singh, A., & Chakraborty, S. (2024) · 2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 14

Region Based Robust Facial Expression Analysis

Lian, Z., Li, Y., Tao, J., Huang, J., & Niu, M. (2018) · 2018 First Asian Conference on Affective Computing and Intelligent Interaction (ACII Asia)

Emotion and Mood RecognitionFace recognition and analysis

Cited by 14