Check computer science papers: citations, claims and retractions

PONI: Potential Functions for ObjectGoal Navigation with Interaction-free Learning

Ramakrishnan, S. K., Chaplot, D. S., Al-Halah, Z., Malik, J., & Grauman, K. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reinforcement Learning in RoboticsRobotics and Sensor-Based Localization

Cited by 154

Superoptimizer: a look at the smallest program

Massalin, H. (1987) · Proceedings of the second international conference on Architectual support for programming languages and operating systems

Logic, programming, and type systemsParallel Computing and Optimization Techniques

Cited by 154

Cognitive Heat: Exploring the Usage of Thermal Imaging to Unobtrusively Estimate Cognitive Load

Abdelrahman, Y., Velloso, E., Dingler, T., Schmidt, A., & Vetere, F. (2017) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Gaze Tracking and Assistive TechnologyEmotion and Mood Recognition

Cited by 154

Lite DETR : An Interleaved Multi-Scale Encoder for Efficient DETR

Li, F., Zeng, A., Liu, S., Zhang, H., Li, H., Zhang, L., & Ni, L. M. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 154

Determining breast cancer biomarker status and associated morphological features using deep learning

Gamble, P., Jaroensri, R., Wang, H., Tan, F., Moran, M., Brown, T., Flament-Auvigne, I., Rakha, E. A., Toss, M., Dabbs, D. J., et al. (2021) · Communications Medicine

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 154

Predicting endometrial cancer subtypes and molecular features from histopathology images using multi-resolution deep learning models

Hong, R., Liu, W., DeLair, D., Razavian, N., & Fenyö, D. (2021) · Cell Reports Medicine

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 154

A Machine Learning Approach for Efficient Traffic Classification

Li, W., & Moore, A. W. (2007) · 2007 15th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems

Internet Traffic Analysis and Secure E-votingNetwork Security and Intrusion Detection

Cited by 154

Voxel-based gaussian naïve Bayes classification of ischemic stroke lesions in individual T1-weighted MRI scans

Griffis, J. C., Allendorfer, J. B., & Szaflarski, J. P. (2016) · Journal of Neuroscience Methods

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 154

Protecting Sensory Data against Sensitive Inferences

Malekzadeh, M., Clegg, R. G., Cavallaro, A., & Haddadi, H. (2018) · Proceedings of the 1st Workshop on Privacy by Design in Distributed Systems

Privacy-Preserving Technologies in DataContext-Aware Activity Recognition Systems

Cited by 154

Trustworthy digital twins in the industrial internet of things with blockchain

Suhail, S., Hussain, R., Jurdak, R., & Hong, C. S. (2022) · IEEE Internet Computing

Blockchain Technology Applications and SecurityDigital Transformation in Industry

Cited by 154

LocNet: Improving Localization Accuracy for Object Detection

Gidaris, S., & Komodakis, N. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 154

Data governance, data literacy and the management of data quality

Koltay, T. (2016) · IFLA Journal

Research Data Management PracticesData Quality and Management

Cited by 154

Data Management in Supply Chain Using Blockchain: Challenges and a Case Study

Wu, H., Cao, J., Yang, Y., Tung, C. L., Jiang, S., Tang, B., Liu, Y., Wang, X., & Deng, Y. (2019) · 2019 28th International Conference on Computer Communication and Networks (ICCCN)

Blockchain Technology Applications and SecurityFood Supply Chain Traceability

Cited by 154

Hardware Accelerator for Multi-Head Attention and Position-Wise Feed-Forward in the Transformer

Lu, S., Wang, M., Liang, S., Lin, J., & Wang, Z. (2020) · 2020 IEEE 33rd International System-on-Chip Conference (SOCC)

Embedded Systems Design TechniquesAdvanced Neural Network Applications

Cited by 154

Selection from alphabetic and numeric menu trees using a touch screen: breadth, depth, and width

Landauer, T. K., & Nachbar, D. W. (1985) · ACM SIGCHI Bulletin

Interactive and Immersive DisplaysUsability and User Interface Design

Cited by 154

High-resolution neural face swapping for visual effects

Naruniec, J., Helminger, L., Schroers, C., & Weber, R. M. (2020) · Computer Graphics Forum

Generative Adversarial Networks and Image SynthesisFace recognition and analysis

Cited by 154

Anomaly Detection Using Program Control Flow Graph Mining From Execution Logs

Nandi, A., Mandal, A., Atreja, S., Dasgupta, G. B., & Bhattacharya, S. (2016) · Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Software System Performance and ReliabilitySoftware Testing and Debugging Techniques

Cited by 154

In-Capture Mobile Video Distortions: A Study of Subjective Behavior and Objective Algorithms

Ghadiyaram, D., Pan, J., Bovik, A. C., Moorthy, A. K., Panda, P., & Yang, K.-C. (2018) · IEEE Transactions on Circuits and Systems for Video Technology

Image and Video Quality AssessmentDigital Media Forensic Detection

Cited by 154

Hyperspectral anomaly detection with guided autoencoder

Xiang, P., Ali, S., Jung, S. K., & Zhou, H. (2022) · IEEE Transactions on Geoscience and Remote Sensing

Remote-Sensing Image ClassificationInfrared Target Detection Methodologies

Cited by 154

Parsing eye-tracking data of variable quality to provide accurate fixation duration estimates in infants and adults

Wass, S. V., Smith, T. J., & Johnson, M. H. (2013) · Behavior Research Methods

Gaze Tracking and Assistive TechnologyVisual Attention and Saliency Detection

Cited by 154

Ethics of the health-related internet of things: a narrative review

Mittelstadt, B. (2017) · Ethics and Information Technology

Internet of Things and AIEthics and bioethics in healthcare

Cited by 154

Smart technologies for long-term stress monitoring at work

Kocielnik, R., Sidorova, N., Maggi, F. M., Ouwerkerk, M., & Westerink, J. H. D. M. (2013) · Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems

Emotion and Mood RecognitionContext-Aware Activity Recognition Systems

Cited by 154

On the measurability of information quality

Arazy, O., & Kopak, R. (2011) · Journal of the American Society for Information Science and Technology

Data Quality and ManagementReliability and Agreement in Measurement

Cited by 154

How Wearables Intersect with the Cloud and the Internet of Things: Considerations for the developers of wearables

Wei, J. (2014) · IEEE Consumer Electronics Magazine

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 154