Check computer science papers: citations, claims and retractions

The future of cloud computing: opportunities, challenges and research trends

Kaur, A., Singh, V. P., & Singh Gill, S. (2018) · 2018 2nd International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), 2018 2nd International Conference on

Cloud Computing and Resource ManagementEnergy Efficiency in Computing

Cited by 32

Impact of requirements volatility on software architecture: How do software teams keep up with ever‐changing requirements?

Dasanayake, S., Aaramaa, S., Markkula, J., & Oivo, M. (2019) · Journal of Software: Evolution and Process

Software Engineering Techniques and PracticesAdvanced Software Engineering Methodologies

Cited by 32

Digital twinning [virtual reality avatars]

Ross, D. (2016) · Engineering & Technology

Virtual Reality Applications and ImpactsSocial Robot Interaction and HRI

Cited by 32

Multiple Cameras Using Real Time Object Tracking for Surveillance and Security System

Susheel Kumar, K., Prasad, S., Saroj, P. K., & Tripathi, R. C. (2010) · 2010 3rd International Conference on Emerging Trends in Engineering and Technology

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 32

Agent with Warm Start and Adaptive Dynamic Termination for Plane Localization in 3D Ultrasound

Yang, X., Dou, H., Huang, R., Xue, W., Huang, Y., Qian, J., Zhang, Y., Luo, H., Guo, H., Wang, T., et al. (2021) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 32

The PAR Framework Proof of Concept: Initial Findings from a Multi-Institutional Analysis of Federated Postsecondary Data

Ice, P., Díaz, S., Swan, K., Burgess, M., Sharkey, M., Sherrill, J., Huston, D. R., & Okimoto, H. (2012) · Online Learning

Online Learning and AnalyticsHigher Education Research Studies

Cited by 32

Shedding Light on Black Box Machine Learning Algorithms: Development of an Axiomatic Framework to Assess the Quality of Methods that Explain Individual Predictions

Honegger, M. (2018) · arXiv

Explainable Artificial Intelligence (XAI)Software Testing and Debugging Techniques

Cited by 32

A new proposal to provide estimation of QoS and QoE over WiMAX networks: An approach based on computational intelligence and discrete-event simulation

Machado, V. A., Silva, C. N., Oliveira, R. S., Melo, A. M., Silva, M., Frances, C. R. L., Costa, J. C. W. A., Vijaykumar, N. L., & Hirata, C. M. (2011) · 2011 IEEE Third Latin-American Conference on Communications

Image and Video Quality AssessmentAdvanced Wireless Network Optimization

Cited by 32

Hallo3: Highly Dynamic and Realistic Portrait Image Animation with Video Diffusion Transformer

Cui, J., Li, H., Zhan, Y., Shang, H., Cheng, K., Ma, Y., Mu, S., Zhou, H., Wang, J., & Zhu, S. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 32

SafetyKit: First Aid for Measuring Safety in Open-domain Conversational Systems

Dinan, E., Abercrombie, G., Bergman, A., Spruit, S., Hovy, D., Boureau, Y.-L., & Rieser, V. (2022) · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Speech and dialogue systemsEthics and Social Impacts of AI

Cited by 32

Can Language Models Handle Recursively Nested Grammatical Structures? A Case Study on Comparing Models and Humans

Lampinen, A. (2024) · Computational Linguistics

Natural Language Processing TechniquesSyntax, Semantics, Linguistic Variation

Cited by 32

IoV Scenario: Implementation of a Bandwidth Aware Algorithm in Wireless Network Communication Mode

Zhang, P., Wang, C., Aujla, G. S., Kumar, N., & Guizani, M. (2020) · IEEE Transactions on Vehicular Technology

Software-Defined Networks and 5GVehicular Ad Hoc Networks (VANETs)

Cited by 32

PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos

Parmas, P., Rasmussen, C. E., Peters, J., & Doya, K. (2018) · Apollo - University of Cambridge Repository

Reinforcement Learning in RoboticsAdaptive Dynamic Programming Control

Cited by 32

Using NLP and Machine Learning to Detect Data Privacy Violations

Silva, P., Goncalves, C., Godinho, C., Antunes, N., & Curado, M. (2020) · IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection

Cited by 32

Learning dashboards at scale: Early warning and overall first year experience

Broos, T., Pinxten, M., Delporte, M., Verbert, K., & De Laet, T. (2020) · Assessment & Evaluation in Higher Education

Online Learning and AnalyticsIntelligent Tutoring Systems and Adaptive Learning

Cited by 32

Testing of Detection Tools for AI-Generated Text

Weber-Wulff, D., Anohina-Naumeca, A., Bjelobaba, S., Foltýnek, T., Guerrero-Dib, J., Popoola, O., Šigut, P., & Waddington, L. (2023) · arXiv

Authorship Attribution and ProfilingAcademic integrity and plagiarism

Cited by 32

Policy manifold search: exploring the manifold hypothesis for diversity-based neuroevolution

Rakicevic, N., Cully, A., & Kormushev, P. (2021) · Proceedings of the Genetic and Evolutionary Computation Conference

Evolutionary Algorithms and ApplicationsReinforcement Learning in Robotics

Cited by 32

Opening the black box of record linkage

Harron, K., Wade, A., Muller-Pebody, B., Goldstein, H., & Gilbert, R. (2012) · Journal of Epidemiology and Community Health

Data Quality and ManagementMedical Coding and Health Information

Cited by 32

Toward Accountable Discrimination-Aware Data Mining: The Importance of Keeping the Human in the Loop—and Under the Looking Glass

Berendt, B., & Preibusch, S. (2017) · Big Data

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 32

RFID and Android based smart ticketing and destination announcement system

Chowdhury, P., Bala, P., Addy, D., Giri, S., & Chaudhuri, A. R. (2016) · 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

RFID technology advancementsIoT and GPS-based Vehicle Safety Systems

Cited by 32

Solving optimization problems with Rydberg analog quantum computers: Realistic requirements for quantum advantage using noisy simulation and classical benchmarks

Serret, M. F., Marchand, B., & Ayral, T. (2020) · Physical Review A

Quantum Computing Algorithms and ArchitectureCold Atom Physics and Bose-Einstein Condensates

Cited by 32

Unveiling Shadows: Harnessing Artificial Intelligence for Insider Threat Detection

Yilmaz, E., & Can, O. (2024) · Engineering, Technology & Applied Science Research

Information and Cyber SecurityNetwork Security and Intrusion Detection

Cited by 32

LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models

Agashe, S., Fan, Y., Reyna, A., & Wang, X. E. (2023) · arXiv

Multi-Agent Systems and NegotiationGame Theory and Applications

Cited by 32

Dirac quantum cellular automaton in one dimension:Zitterbewegungand scattering from potential

Bisio, A., D'Ariano, G. M., & Tosini, A. (2013) · Physical Review A

Cellular Automata and ApplicationsQuantum Mechanics and Applications

Cited by 32