Check computer science papers: citations, claims and retractions

Visual tools for teaching machine learning in K-12: A ten-year systematic mapping

Gresse von Wangenheim, C., Hauck, J. C. R., Pacheco, F. S., & Bertonceli Bueno, M. F. (2021) · Education and Information Technologies

Teaching and Learning ProgrammingEducational Robotics and Engineering

Cited by 130

Virtual reality exposure therapy for adolescents with fear of public speaking: a non-randomized feasibility and pilot study

Kahlon, S., Lindner, P., & Nordgreen, T. (2019) · Child and Adolescent Psychiatry and Mental Health

Virtual Reality Applications and ImpactsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

Cited by 130

LIGHT-SERNET: A Lightweight Fully Convolutional Neural Network for Speech Emotion Recognition

Aftab, A., Morsali, A., Ghaemmaghami, S., & Champagne, B. (2022) · ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Emotion and Mood RecognitionSpeech Recognition and Synthesis

Cited by 130

DLATK: Differential Language Analysis ToolKit

Schwartz, H. A., Giorgi, S., Sap, M., Crutchley, P., Ungar, L., & Eichstaedt, J. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations

Sentiment Analysis and Opinion MiningMental Health via Writing

Cited by 130

Machine Learning Uncertainty as a Design Material: A Post-Phenomenological Inquiry

Benjamin, J. J., Berger, A., Merrill, N., & Pierce, J. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionCybernetics and Technology in Society

Cited by 130

Uniting cyber security and machine learning: Advantages, challenges and future research

Wazid, M., Das, A. K., Chamola, V., & Park, Y. (2022) · ICT Express

Network Security and Intrusion DetectionAdversarial Robustness in Machine Learning

Cited by 130

Physics-Based Rendering for Improving Robustness to Rain

Halder, S., Lalonde, J.-F., & Charette, R. D. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Image Enhancement TechniquesComputer Graphics and Visualization Techniques

Cited by 130

Usability Testing of an Online Self-management Program for Adolescents With Juvenile Idiopathic Arthritis

Stinson, J., McGrath, P., Hodnett, E., Feldman, B., Duffy, C., Huber, A., Tucker, L., Hetherington, R., Tse, S., Spiegel, L., et al. (2010) · Journal of Medical Internet Research

Usability and User Interface DesignMobile Health and mHealth Applications

Cited by 130

Evolving large-scale neural networks for vision-based reinforcement learning

Koutník, J., Cuccu, G., Schmidhuber, J., & Gomez, F. (2013) · Proceedings of the 15th annual conference on Genetic and evolutionary computation

Evolutionary Algorithms and ApplicationsReinforcement Learning in Robotics

Cited by 130

Integrating multi-omics data with EHR for precision medicine using advanced artificial intelligence

Tong, L., Shi, W., Isgut, M., Zhong, Y., Lais, P., Gloster, L., Sun, J., Swain, A., Giuste, F., & Wang, M. D. (2024) · IEEE Reviews in Biomedical Engineering

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 130

Towards MLOps: A Framework and Maturity Model

John, M. M., Olsson, H. H., & Bosch, J. (2021) · 2021 47th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)

Software Engineering Techniques and PracticesSoftware System Performance and Reliability

Cited by 130

Decoupling Strategy and Generation in Negotiation Dialogues

He, H., Chen, D., Balakrishnan, A., & Liang, P. (2018) · arXiv

Multi-Agent Systems and NegotiationSpeech and dialogue systems

Cited by 130

Using Clinical Notes and Natural Language Processing for Automated HIV Risk Assessment

Feller, D. J., Zucker, J., Yin, M. T., Gordon, P., & Elhadad, N. (2018) · JAIDS Journal of Acquired Immune Deficiency Syndromes

Machine Learning in HealthcareHIV/AIDS Research and Interventions

Cited by 130

Big/little deep neural network for ultra low power inference

Park, E., Kim, D., Kim, S., Kim, Y.-D., Kim, G., Yoon, S., & Yoo, S. (2015) · 2015 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS)

Advanced Neural Network ApplicationsLow-power high-performance VLSI design

Cited by 130

Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned

Ganguli, D., Lovitt, L., Kernion, J., Askell, A., Bai, Y., Kadavath, S., Mann, B., Perez, E., Schiefer, N., Ndousse, K., et al. (2022) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 130

Privacy in Internet of Things: From Principles to Technologies

Li, C., & Palanisamy, B. (2019) · IEEE Internet of Things Journal

Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection

Cited by 130

CRAFT: Camera-Radar 3D Object Detection with Spatio-Contextual Fusion Transformer

Kim, Y., Kim, S., Choi, J. W., & Kum, D. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 130

KAT: A Knowledge Augmented Transformer for Vision-and-Language

Gui, L., Wang, B., Huang, Q., Hauptmann, A., Bisk, Y., & Gao, J. (2022) · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 130

A Comparison of Open Source Learning Management Systems

Cavus, N., & Zabadi, T. (2014) · Procedia - Social and Behavioral Sciences

Educational Technology and E-LearningOnline and Blended Learning

Cited by 130

The Dataverse Network®: An Open-Source Application for Sharing, Discovering and Preserving Data

Crosas, M. (2011) · D-Lib Magazine

Research Data Management PracticesData Analysis and Archiving

Cited by 130

Enhancing Chat Language Models by Scaling High-quality Instructional Conversations

Ding, N., Chen, Y., Xu, B., Qin, Y., Hu, S., Liu, Z., Sun, M., & Zhou, B. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Speech and dialogue systemsTopic Modeling

Cited by 130

A load-balancing mechanism for distributed SDN control plane using response time

Cui, J., Lu, Q., Zhong, H., Tian, M., & Liu, L. (2018) · IEEE Transactions on Network and Service Management

Software-Defined Networks and 5GAdvanced Optical Network Technologies

Cited by 130

A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability

Liu, A., Hu, X., Wen, L., & Yu, P. S. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 129

ChatGPT vs. Google: A Comparative Study of Search Performance and User Experience

Xu, R., Feng, Y., & Chen, H. (2023) · arXiv

Information Retrieval and Search BehaviorAI in Service Interactions

Cited by 129