Check computer science papers: citations, claims and retractions

Further Generalizations of the Jaccard Index

Costa, L. D. F. (2021) · arXiv

Advanced Clustering Algorithms ResearchUrban Design and Spatial Analysis

Cited by 100

Artificial Intelligence in the IoT Era: A Review of Edge AI Hardware and Software

Sipola, T., Alatalo, J., Kokkonen, T., & Rantonen, M. (2022) · 2022 31st Conference of Open Innovations Association (FRUCT)

IoT and Edge/Fog ComputingAdvanced Neural Network Applications

Cited by 100

Research in human-level AI using computer games

Laird, J. E. (2002) · Communications of the ACM

Artificial Intelligence in GamesAI-based Problem Solving and Planning

Cited by 100

Deep learned tissue “fingerprints” classify breast cancers by ER/PR/Her2 status from H&E images

Rawat, R. R., Ortega, I., Roy, P., Sha, F., Shibata, D., Ruderman, D., & Agus, D. B. (2020) · Scientific Reports

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 100

ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale

Wang, X., Delgado, H., Tak, H., Jung, J.-W., Shim, H.-J., Todisco, M., Kukanov, I., Liu, X., Sahidullah, M., Kinnunen, T., et al. (2024) · arXiv

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 100

Sensor Evaluation for Wearable Strain Gauges in Neurological Rehabilitation

Giorgino, T., Tormene, P., Lorussi, F., De Rossi, D., & Quaglini, S. (2009) · IEEE Transactions on Neural Systems and Rehabilitation Engineering

Context-Aware Activity Recognition SystemsAdvanced Sensor and Energy Harvesting Materials

Cited by 100

Development and Evaluation of ClientBot: Patient-Like Conversational Agent to Train Basic Counseling Skills

Tanana, M. J., Soma, C. S., Srikumar, V., Atkins, D. C., & Imel, Z. E. (2019) · Journal of Medical Internet Research

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Healthcare and Education

Cited by 100

Understanding concurrent earcons: Applying auditory scene analysis principles to concurrent earcon recognition

McGookin, D. K., & Brewster, S. A. (2004) · ACM Transactions on Applied Perception

Usability and User Interface DesignMusic Technology and Sound Studies

Cited by 100

Exploring Human-Like Attention Supervision in Visual Question Answering

Qiao, T., Dong, J., & Xu, D. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence

Multimodal Machine Learning ApplicationsVisual Attention and Saliency Detection

Cited by 100

Influence of Awareness and Training on Cyber Security

McCrohan, K. F., Engel, K., & Harvey, J. W. (2010) · Journal of Internet Commerce

Information and Cyber SecurityUser Authentication and Security Systems

Cited by 100

Ethics and Law in Research on Algorithmic and Data-Driven Technology in Mental Health Care: Scoping Review

Gooding, P., & Kariotis, T. (2021) · JMIR Mental Health

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 100

Deception abilities emerged in large language models

Hagendorff, T. (2024) · Proceedings of the National Academy of Sciences

Ethics and Social Impacts of AIDeception detection and forensic psychology

Cited by 100

Beyond artificial intelligence: exploring artificial wisdom

Jeste, D. V., Graham, S. A., Nguyen, T. T., Depp, C. A., Lee, E. E., & Kim, H.-C. (2020) · International Psychogeriatrics

Psychiatry, Mental Health, NeuroscienceAging and Gerontology Research

Cited by 100

System Design Perspective for Human-Level Agents Using Deep Reinforcement Learning: A Survey

Nguyen, N. D., Nguyen, T., & Nahavandi, S. (2017) · IEEE Access

Reinforcement Learning in RoboticsAutonomous Vehicle Technology and Safety

Cited by 100

Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control

Angelopoulos, A. N., Bates, S., Candès, E. J., Jordan, M. I., & Lei, L. (2021) · arXiv

Machine Learning and AlgorithmsMachine Learning and Data Classification

Cited by 100

Realizing an Internet of Secure Things: A Survey on Issues and Enabling Technologies

Hamad, S. A., Sheng, Q. Z., Zhang, W. E., & Nepal, S. (2020) · IEEE Communications Surveys & Tutorials

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 100

The PartialSpoof Database and Countermeasures for the Detection of Short Fake Speech Segments Embedded in an Utterance

Zhang, L., Wang, X., Cooper, E., Evans, N., & Yamagishi, J. (2023) · IEEE/ACM Transactions on Audio, Speech, and Language Processing

Speech Recognition and SynthesisBiometric Identification and Security

Cited by 100

Visually induced motion sickness can be alleviated by pleasant odors

Keshavarz, B., Stelzmann, D., Paillard, A., & Hecht, H. (2015) · Experimental Brain Research

Virtual Reality Applications and ImpactsVestibular and auditory disorders

Cited by 100

Holographic quantum algorithms for simulating correlated spin systems

Foss-Feig, M., Hayes, D., Dreiling, J. M., Figgatt, C., Gaebler, J. P., Moses, S. A., Pino, J. M., & Potter, A. C. (2021) · Physical Review Research

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 100

Benchmark Analysis of YOLO Performance on Edge Intelligence Devices

Feng, H., Mu, G., Zhong, S., Zhang, P., & Yuan, T. (2022) · Cryptography

Advanced Neural Network ApplicationsIoT and Edge/Fog Computing

Cited by 100

A Survey of Self-Supervised and Few-Shot Object Detection

Huang, G., Laradji, I., Vazquez, D., Lacoste-Julien, S., & Rodriguez, P. (2022) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 100

Deep Learning for Anomaly Detection

Wang, R., Nie, K., Wang, T., Yang, Y., & Long, B. (2020) · Proceedings of the 13th International Conference on Web Search and Data Mining

Anomaly Detection Techniques and ApplicationsSoftware System Performance and Reliability

Cited by 100

Bringing the People Back In: Contesting Benchmark Machine Learning Datasets

Denton, R., Hanna, A., Amironesei, R., Smart, A., Nicole, H., & Scheuerman, M. K. (2020) · arXiv

Ethics and Social Impacts of AIFeminist Epistemology and Gender Studies

Cited by 100

A three-dimensional memristor-based hyperchaotic map for pseudorandom number generation and multi-image encryption

Gao, S., Ding, S., Ho-Ching Iu, H., Erkan, U., Toktas, A., Simsek, C., Wu, R., Xu, X., Cao, Y., & Mou, J. (2025) · Chaos: An Interdisciplinary Journal of Nonlinear Science

Chaos-based Image/Signal EncryptionChaos control and synchronization

Cited by 100