Check computer science papers: citations, claims and retractions

Improving Representation Learning for Histopathologic Images with Cluster Constraints

Wu, W., Gao, C., DiPalma, J., Vosoughi, S., & Hassanpour, S. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 16

Mind the Gap: On the Relationship Between Automatically Measured and Self-Reported Productivity

Beller, M., Orgovan, V., Buja, S., & Zimmermann, T. (2021) · IEEE Software

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 16

Managing the Internet of Things

Elkhodr, M., Shahrestani, S., & Cheung, H. (2015) · 2015 IEEE International Conference on Data Science and Data Intensive Systems

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 16

Be Friendly, Not Friends: How LLM Sycophancy Shapes User Trust

Sun, Y., & Wang, T. (2026) · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems

Ethics and Social Impacts of AIAI in Service Interactions

Cited by 16

Ouroboros: Using potential field in unexplored regions to close loops

Jorge, V. A. M., Maffei, R., Franco, G. S., Daltrozo, J., Giambastiani, M., Kolberg, M., & Prestes, E. (2015) · 2015 IEEE International Conference on Robotics and Automation (ICRA)

Robotics and Sensor-Based LocalizationRobotic Path Planning Algorithms

Cited by 16

Large Language Models and Cognitive Science: A Comprehensive Review of Similarities, Differences, and Challenges

Niu, Q., Liu, J., Bi, Z., Feng, P., Peng, B., Chen, K., Li, M., Yan, L. K., Zhang, Y., Yin, C. H., et al. (2024) · arXiv

Psychiatry, Mental Health, NeuroscienceTopic Modeling

Cited by 16

PEMAR: A pervasive middleware for activity recognition with smart phones

Vaka, P., Shen, F., Chandrashekar, M., & Lee, Y. (2015) · 2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops)

Context-Aware Activity Recognition SystemsHand Gesture Recognition Systems

Cited by 16

Proxy Fairness

Gupta, M., Cotter, A., Fard, M. M., & Wang, S. (2018) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 16

Goal Misgeneralization: Why Correct Specifications Aren't Enough For Correct Goals

Shah, R., Varma, V., Kumar, R., Phuong, M., Krakovna, V., Uesato, J., & Kenton, Z. (2022) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 16

Diabetes Type 2: Poincar�Data Preprocessing for Quantum Machine Learning

Sierra-Sosa, D., D. Arcila-Moreno, J., Garcia-Zapirain, B., & Elmaghraby, A. (2021) · Computers, Materials & Continua

Quantum Computing Algorithms and ArchitectureArtificial Intelligence in Healthcare

Cited by 16

Detecting Deepfake Videos: An Analysis of Three Techniques

Pishori, A., Rollins, B., van Houten, N., Chatwani, N., & Uraimov, O. (2020) · arXiv

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 16

Extended Capture Range of Rigid 2D/3D Registration by Estimating Riemannian Pose Gradients

Gu, W., Gao, C., Grupp, R., Fotouhi, J., & Unberath, M. (2020) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 16

Morphological processing of low-resource languages: Where we are and what's next

Wiemerslage, A., Silfverberg, M., Yang, C., McCarthy, A., Nicolai, G., Colunga, E., & Kann, K. (2022) · Findings of the Association for Computational Linguistics: ACL 2022

Natural Language Processing TechniquesSyntax, Semantics, Linguistic Variation

Cited by 16

Semi-Supervised Few-Shot Class-Incremental Learning

Cui, Y., Xiong, W., Tavakolian, M., & Liu, L. (2021) · 2021 IEEE International Conference on Image Processing (ICIP)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 16

A Preliminary Analysis on the Code Generation Capabilities of GPT-3.5 and Bard AI Models for Java Functions

Destefanis, G., Bartolucci, S., & Ortu, M. (2023) · arXiv

Software Engineering ResearchTeaching and Learning Programming

Cited by 16

Towards generalisable and calibrated audio deepfake detection with self-supervised representations

Pascu, O., Stan, A., Oneata, D., Oneata, E., & Cucu, H. (2024) · Interspeech 2024

Speech Recognition and SynthesisMusic and Audio Processing

Cited by 16

An improved feature extraction algorithm for insider threat using hidden Markov model on user behavior detection

Ye, X., & Han, M.-M. (2022) · Information & Computer Security

Network Security and Intrusion DetectionUser Authentication and Security Systems

Cited by 16

One-Class Learning for AI-Generated Essay Detection

Corizzo, R., & Leal-Arenas, S. (2023) · Applied Sciences

Authorship Attribution and ProfilingAcademic integrity and plagiarism

Cited by 16

Predicting the learner's personality from educational data using supervised learning

Abyaa, A., Idrissi, M. K., & Bennani, S. (2018) · Proceedings of the 12th International Conference on Intelligent Systems: Theories and Applications

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 16

A method of 2D/3D registration of a statistical mouse atlas with a planar X-ray projection and an optical photo

Wang, H., Stout, D. B., & Chatziioannou, A. F. (2013) · Medical Image Analysis

Medical Image Segmentation TechniquesMedical Imaging Techniques and Applications

Cited by 16

Prometheus-Vision: Vision-Language Model as a Judge for Fine-Grained Evaluation

Lee, S., Kim, S., Park, S. H., Kim, G., & Seo, M. (2024) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 16

Modified Least Significant Bit (MLSB)

Abu Zaher, M. (2010) · Computer and Information Science

Advanced Steganography and Watermarking TechniquesComputer Science and Engineering

Cited by 16

Architecture for Enabling Edge Inference via Model Transfer from Cloud Domain in a Kubernetes Environment

Pääkkönen, P., Pakkala, D., Kiljander, J., & Sarala, R. (2020) · Future Internet

IoT and Edge/Fog ComputingEnergy Efficiency in Computing

Cited by 16

On the Vulnerability of Deepfake Detectors to Attacks Generated by Denoising Diffusion Models

Ivanovska, M., & Štruc, V. (2024) · 2024 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)

Digital Media Forensic DetectionAdversarial Robustness in Machine Learning

Cited by 16