Check computer science papers: citations, claims and retractions

Recurrent Memory Transformer

Bulatov, A., Kuratov, Y., & Burtsev, M. S. (2022) · arXiv

Topic ModelingNeural Networks and Applications

Cited by 55

Fairness Through Awareness

Dwork, C., Hardt, M., Pitassi, T., Reingold, O., & Zemel, R. (2011) · arXiv

Ethics and Social Impacts of AIPrivacy-Preserving Technologies in Data

Cited by 55

FLAW3D: A Trojan-Based Cyber Attack on the Physical Outcomes of Additive Manufacturing

Pearce, H., Yanamandra, K., Gupta, N., & Karri, R. (2022) · IEEE/ASME Transactions on Mechatronics

Physical Unclonable Functions (PUFs) and Hardware SecuritySecurity and Verification in Computing

Cited by 55

On Security in Publish/Subscribe Services: A Survey

Esposito, C., & Ciampi, M. (2015) · IEEE Communications Surveys & Tutorials

Access Control and TrustDistributed systems and fault tolerance

Cited by 55

Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data

Zhang, H., Tian, C., Li, Y., Su, L., Yang, N., Zhao, W. X., & Gao, J. (2021) · Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining

Recommender Systems and TechniquesAdversarial Robustness in Machine Learning

Cited by 55

MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions

Zhong, Z., Wu, Z., Manning, C. D., Potts, C., & Chen, D. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 55

A systematic review of current AI techniques used in the context of the SDGs

Greif, L., Röckel, F., Kimmig, A., & Ovtcharova, J. (2025) · International Journal of Environmental Research

Artificial Intelligence ApplicationsInnovation, Sustainability, Human-Machine Systems

Cited by 55

Looking through a policy window with tinted glasses: Setting the agenda for U.S. AI policy

Schiff, D. S. (2023) · Review of Policy Research

Ethics and Social Impacts of AIPolicy Transfer and Learning

Cited by 55

Hand Gesture Recognition Using EMG-IMU Signals and Deep Q-Networks

Vásconez, J. P., Barona López, L. I., Valdivieso Caraguay, Á. L., & Benalcázar, M. E. (2022) · Sensors

Hand Gesture Recognition SystemsMuscle activation and electromyography studies

Cited by 55

TON-IoT: Detection of Attacks on Internet of Things in Vehicular Networks

Sharma, A., Babbar, H., & Sharma, A. (2022) · 2022 6th International Conference on Electronics, Communication and Aerospace Technology

Network Security and Intrusion DetectionInternet of Things and AI

Cited by 55

On the retrospective assessment of users' experiences over time: memory or actuality?

Karapanos, E., Martens, J.-B., & Hassenzahl, M. (2010) · CHI '10 Extended Abstracts on Human Factors in Computing Systems

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 55

SoilingNet: Soiling Detection on Automotive Surround-View Cameras

Uricar, M., Krizek, P., Sistu, G., & Yogamani, S. (2019) · 2019 IEEE Intelligent Transportation Systems Conference (ITSC)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 55

A game theoretic approach to cyber security risk management

Musman, S., & Turner, A. (2018) · The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology

Information and Cyber SecuritySmart Grid Security and Resilience

Cited by 55

Building Better AI Agents: A Provocation on the Utilisation of Persona in LLM-based Conversational Agents

Sun, G., Zhan, X., & Such, J. (2024) · ACM Conversational User Interfaces 2024

Speech and dialogue systemsAI in Service Interactions

Cited by 55

Piggyback Prototyping: Using Existing, Large-Scale Social Computing Systems to Prototype New Ones

Grevet, C., & Gilbert, E. (2015) · Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

Innovative Human-Technology InteractionUsability and User Interface Design

Cited by 55

Measuring Voice UX Quantitatively: A Rapid Review

Seaborn, K., & Urakami, J. (2021) · Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems

Usability and User Interface DesignInnovative Human-Technology Interaction

Cited by 55

Design Considerations for Efficient Deep Neural Networks on Processing-in-Memory Accelerators

Yang, T.-J., & Sze, V. (2019) · 2019 IEEE International Electron Devices Meeting (IEDM)

Parallel Computing and Optimization TechniquesAdvanced Memory and Neural Computing

Cited by 55

Clinfo.ai: An Open-Source Retrieval-Augmented Large Language Model System for Answering Medical Questions using Scientific Literature

Lozano, A., Fleming, S. L., Chiang, C.-C., & Shah, N. (2023) · Biocomputing 2024

Information Retrieval and Search BehaviorTopic Modeling

Cited by 55

Practically Adopting Human Activity Recognition

Xu, H., Zhou, P., Tan, R., & Li, M. (2023) · Proceedings of the 29th Annual International Conference on Mobile Computing and Networking

Context-Aware Activity Recognition SystemsHuman Mobility and Location-Based Analysis

Cited by 55

PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Lála, J., O'Donoghue, O., Shtedritski, A., Cox, S., Rodriques, S. G., & White, A. D. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 55

All Roads Lead to Likelihood: The Value of Reinforcement Learning in Fine-Tuning

Swamy, G., Choudhury, S., Sun, W., Wu, Z. S., & Bagnell, J. A. (2025) · arXiv

Reinforcement Learning in RoboticsTopic Modeling

Cited by 55

Student Dataset from Tecnologico de Monterrey in Mexico to Predict Dropout in Higher Education

Alvarado-Uribe, J., Mejía-Almada, P., Masetto Herrera, A. L., Molontay, R., Hilliger, I., Hegde, V., Montemayor Gallegos, J. E., Ramírez Díaz, R. A., & Ceballos, H. G. (2022) · Data

Online Learning and AnalyticsEvasion and Academic Success Factors

Cited by 55

Multi-task deep neural network with shared hidden layers: Breaking down the wall between emotion representations

Zhang, Y., Liu, Y., Weninger, F., & Schuller, B. (2017) · 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Emotion and Mood RecognitionSpeech Recognition and Synthesis

Cited by 55

Quantum chemistry beyond Born–Oppenheimer approximation on a quantum computer: A simulated phase estimation study

Veis, L., Višňák, J., Nishizawa, H., Nakai, H., & Pittner, J. (2016) · International Journal of Quantum Chemistry

Quantum Computing Algorithms and ArchitectureAdvanced Chemical Physics Studies

Cited by 55