Check computer science papers: citations, claims and retractions

Voting or Consensus? Decision-Making in Multi-Agent Debate

Kaesberg, L. B., Becker, J., Wahle, J. P., Ruas, T., & Gipp, B. (2025) · Findings of the Association for Computational Linguistics: ACL 2025

Multi-Agent Systems and NegotiationTopic Modeling

Cited by 55

Integrating induction and deduction for finding evidence of discrimination

Pedreschi, D., Ruggieri, S., & Turini, F. (2009) · Proceedings of the 12th International Conference on Artificial Intelligence and Law

Ethics and Social Impacts of AIArtificial Intelligence in Law

Cited by 55

Machine learning in NextG networks via generative adversarial networks

Ayanoglu, E., Davaslioglu, K., & Sagduyu, Y. E. (2022) · IEEE Transactions on Cognitive Communications and Networking

Cognitive Radio Networks and Spectrum SensingWireless Signal Modulation Classification

Cited by 55

Artificial intelligence in glioma imaging: Challenges and advances

Jin, W., Fatehi, M., Abhishek, K., Mallya, M., Toyota, B., & Hamarneh, G. (2020) · Journal of Neural Engineering

Brain Tumor Detection and ClassificationGlioma Diagnosis and Treatment

Cited by 55

Removal of adherent waterdrops from images acquired with stereo camera

Yamashita, A., Tanaka, Y., & Kaneko, T. (2005) · 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems

Advanced Vision and ImagingImage Enhancement Techniques

Cited by 55

FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models

Jiang, Y., Wang, Y., Zeng, X., Zhong, W., Li, L., Mi, F., Shang, L., Jiang, X., Liu, Q., & Wang, W. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 55

COVID-19 optimizer algorithm, modeling and controlling of coronavirus distribution process

Hosseini, E., Ghafoor, K. Z., Sadiq, A. S., Guizani, M., & Emrouznejad, A. (2020) · IEEE Journal of Biomedical and Health Informatics

Metaheuristic Optimization Algorithms ResearchCOVID-19 epidemiological studies

Cited by 55

Data-Centric Computing Frontiers: A Survey On Processing-In-Memory

Siegl, P., Buchty, R., & Berekovic, M. (2016) · Proceedings of the Second International Symposium on Memory Systems

Parallel Computing and Optimization TechniquesAdvanced Database Systems and Queries

Cited by 55

Multi-agent systems powered by large language models: applications in swarm intelligence

Jimenez-Romero, C., Yegenoglu, A., & Blum, C. (2025) · Frontiers in Artificial Intelligence

Multi-Agent Systems and NegotiationModular Robots and Swarm Intelligence

Cited by 55

Incorporating prior knowledge in medical image segmentation: a survey

Nosrati, M. S., & Hamarneh, G. (2016) · arXiv

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 55

Understanding the Failure Modes of Out-of-Distribution Generalization

Nagarajan, V., Andreassen, A., & Neyshabur, B. (2020) · arXiv

Domain Adaptation and Few-Shot LearningStochastic Gradient Optimization Techniques

Cited by 55

Automatic cognitive load detection from speech features

Yin, B., Ruiz, N., Chen, F., & Khawaja, M. A. (2007) · Proceedings of the 19th Australasian conference on Computer-Human Interaction: Entertaining User Interfaces

Emotion and Mood RecognitionHuman-Automation Interaction and Safety

Cited by 55

"Interview with Things": A First-thing Perspective to Understand the Scooter's Everyday Socio-material Network in Taiwan

Chang, W.-W., Giaccardi, E., Chen, L.-L., & Liang, R.-H. (2017) · Proceedings of the 2017 Conference on Designing Interactive Systems

Innovative Human-Technology InteractionPosthumanist Ethics and Activism

Cited by 55

Provable AI Ethics and Explainability in Next-Generation Medical and Educational AI agents: Trustworthy Ethical Firewall

Thurzo, A. (2025) · Electronics

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 55

Boundaries of quantum supremacy via random circuit sampling

Zlokapa, A., Boixo, S., & Lidar, D. (2020) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 55

Model-Heterogeneous Semi-Supervised Federated Learning for Medical Image Segmentation

Ma, Y., Wang, J., Yang, J., & Wang, L. (2024) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesDomain Adaptation and Few-Shot Learning

Cited by 55

Fine-grained Angular Contrastive Learning with Coarse Labels

Bukchin, G., Schwartz, E., Saenko, K., Shahar, O., Feris, R., Giryes, R., & Karlinsky, L. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 55

The agent architecture of the University of Michigan Digital Library

Durfee, E. H., Kiskis, D. L., & Birmingham, W. P. (1997) · IEE Proceedings - Software Engineering

Multi-Agent Systems and NegotiationLibrary Science and Information

Cited by 55

The FATE Landscape of Sign Language AI Datasets: An Interdisciplinary Perspective

Bragg, D., Caselli, N., Hochgesang, J. A., Huenerfauth, M., Katz-Hernandez, L., Koller, O., Kushalnagar, R., Vogler, C., & Ladner, R. E. (2021) · ACM Transactions on Accessible Computing

Ethics and Social Impacts of AIHand Gesture Recognition Systems

Cited by 55

A Novel QoE-Centric SDN-Based Multipath Routing Approach for Multimedia Services over 5G Networks

Barakabitze, A. A., Sun, L., Mkwawa, I.-H., & Ifeachor, E. (2018) · 2018 IEEE International Conference on Communications (ICC)

Network Traffic and Congestion ControlSoftware-Defined Networks and 5G

Cited by 55

Decentralised Image Sharing and Copyright Protection using Blockchain and Perceptual Hashes

Mehta, R., Kapoor, N., Sourav, S., & Shorey, R. (2019) · 2019 11th International Conference on Communication Systems & Networks (COMSNETS)

Blockchain Technology Applications and SecurityAdvanced Steganography and Watermarking Techniques

Cited by 55

The dilemma and countermeasures of educational data ethics in the age of intelligence

Guan, X., Feng, X., & Islam, A. Y. M. A. (2023) · Humanities and Social Sciences Communications

Ethics and Social Impacts of AIArtificial Intelligence in Education

Cited by 55

From birdsong to human speech recognition: Bayesian inference on a hierarchy of nonlinear dynamical systems

Yildiz, I. B., von Kriegstein, K., & Kiebel, S. J. (2013) · PLoS Computational Biology

Speech Recognition and SynthesisAnimal Vocal Communication and Behavior

Cited by 55

Semantic-Aware Security Orchestration in SDN/NFV-Enabled IoT Systems

Molina Zarca, A., Bagaa, M., Bernal Bernabe, J., Taleb, T., & Skarmeta, A. F. (2020) · Sensors

Software-Defined Networks and 5GIoT and Edge/Fog Computing

Cited by 55