Check computer science papers: citations, claims and retractions

Secure Image Transmission Using Chaotic-Enhanced Elliptic Curve Cryptography

Abdelfatah, R. I. (2020) · IEEE Access

Chaos-based Image/Signal EncryptionCryptography and Data Security

Cited by 73

Topic Modeling and Characterization of Hate Speech against Immigrants on Twitter around the Emergence of a Far-Right Party in Spain

Calderón, C. A., de la Vega, G., & Herrero, D. B. (2020) · Social Sciences

Hate Speech and Cyberbullying DetectionPopulism, Right-Wing Movements

Cited by 73

Al-Bayan: An Arabic Question Answering System for the Holy Quran

Abdelnasser, H., Ragab, M., Mohamed, R., Mohamed, A., Farouk, B., El-Makky, N., & Torki, M. (2014) · Proceedings of the EMNLP 2014 Workshop on Arabic Natural Language Processing (ANLP)

Natural Language Processing TechniquesTopic Modeling

Cited by 73

Creating a large language model of a philosopher

Schwitzgebel, E., Schwitzgebel, D., & Strasser, A. (2024) · Mind & Language

Topic ModelingEthics and Social Impacts of AI

Cited by 73

micro-Stress EMA: A Passive Sensing Framework for Detecting in-the-wild Stress in Pregnant Mothers

King, Z. D., Moskowitz, J., Egilmez, B., Zhang, S., Zhang, L., Bass, M., Rogers, J., Ghaffari, R., Wakschlag, L., & Alshurafa, N. (2019) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Emotion and Mood RecognitionMental Health Research Topics

Cited by 73

Simple and effective defense against evil twin access points

Roth, V., Polak, W., Rieffel, E., & Turner, T. (2008) · Proceedings of the first ACM conference on Wireless network security

Advanced Authentication Protocols SecurityUser Authentication and Security Systems

Cited by 73

Descriptive Compound Identifier Names Improve Source Code Comprehension

Schankin, A., Berger, A., Holt, D. V., Hofmeister, J. C., Riedel, T., & Beigl, M. (2018) · Proceedings of the 26th Conference on Program Comprehension

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 73

Advanced Industrial Wireless Sensor Networks and Intelligent IoT

Boubiche, D. E., Pathan, A.-S. K., Lloret, J., Zhou, H., Hong, S., Amin, S. O., & Feki, M. A. (2018) · IEEE Communications Magazine

Energy Efficient Wireless Sensor NetworksWireless Sensor Networks and IoT

Cited by 73

Robust and communication-efficient collaborative learning

Reisizadeh, A., Taheri, H., Mokhtari, A., Hassani, H., & Pedarsani, R. (2019) · arXiv

Stochastic Gradient Optimization TechniquesDistributed Control Multi-Agent Systems

Cited by 73

FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation

Vu, T., Iyyer, M., Wang, X., Constant, N., Wei, J., Wei, J., Tar, C., Sung, Y.-H., Zhou, D., Le, Q., et al. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Topic ModelingInformation Retrieval and Search Behavior

Cited by 73

A Tale of Two Studies: The Best and Worst of YubiKey Usability

Reynolds, J., Smith, T., Reese, K., Dickinson, L., Ruoti, S., & Seamons, K. (2018) · 2018 IEEE Symposium on Security and Privacy (SP)

User Authentication and Security SystemsUsability and User Interface Design

Cited by 73

Trustworthy machine learning and artificial intelligence

Varshney, K. R. (2019) · XRDS: Crossroads, The ACM Magazine for Students

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 73

Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMs

Smit, A., Duckworth, P., Grinsztajn, N., Barrett, T. D., & Pretorius, A. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 73

R-CNN minus R

Lenc, K., & Vedaldi, A. (2015) · Procedings of the British Machine Vision Conference 2015

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 73

Harnessing large language models to develop research-based learning assistants for formative feedback

Steinert, S., Avila, K. E., Ruzika, S., Kuhn, J., & Küchemann, S. (2024) · Smart Learning Environments

Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education

Cited by 73

Scholarly recommendation systems: a literature survey

Zhang, Z., Patra, B. G., Yaseen, A., Zhu, J., Sabharwal, R., Roberts, K., Cao, T., & Wu, H. (2023) · Knowledge and Information Systems

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 73

Fast and robust segmentation of the striatum using deep convolutional neural networks

Choi, H., & Jin, K. H. (2016) · Journal of Neuroscience Methods

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 73

Root exploit detection and features optimization: mobile device and blockchain based medical data management

Firdaus, A., Anuar, N. B., Razak, M. F. A., Hashem, I. A. T., Bachok, S., & Sangaiah, A. K. (2018) · Journal of Medical Systems

Advanced Malware Detection TechniquesBlockchain Technology Applications and Security

Cited by 73

Semi-supervised Multi-modal Emotion Recognition with Cross-Modal Distribution Matching

Liang, J., Li, R., & Jin, Q. (2020) · Proceedings of the 28th ACM International Conference on Multimedia

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 73

An alternative subspace approach to EEG dipole source localization

Xu, X.-L., Xu, B., & He, B. (2004) · Physics in Medicine and Biology

Direction-of-Arrival Estimation TechniquesEEG and Brain-Computer Interfaces

Cited by 73

FogSurv: A Fog-Assisted Architecture for Urban Surveillance Using Artificial Intelligence and Data Fusion

Munir, A., Kwon, J., Lee, J. H., Kong, J., Blasch, E., Aved, A. J., & Muhammad, K. (2021) · IEEE Access

IoT and Edge/Fog ComputingAdvanced Neural Network Applications

Cited by 73

Body Parts Dependent Joint Regressors for Human Pose Estimation in Still Images

Dantone, M., Gall, J., Leistner, C., & Van Gool, L. (2014) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Human Pose and Action RecognitionFace recognition and analysis

Cited by 73

The dangers of faulty, biased, or malicious algorithms requires independent oversight

Shneiderman, B. (2016) · Proceedings of the National Academy of Sciences

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 73

Interactive recovery from speech recognition errors in speech user interfaces

Suhm, B., Myers, B., & Waibel, A. (2002) · Proceeding of Fourth International Conference on Spoken Language Processing. ICSLP '96

Speech and dialogue systemsSpeech Recognition and Synthesis

Cited by 73