Check computer science papers: citations, claims and retractions

Machine learning at the network edge for automated home intrusion monitoring

Dhakal, A., & Ramakrishnan, K. K. (2017) · 2017 IEEE 25th International Conference on Network Protocols (ICNP)

Network Security and Intrusion DetectionIoT and Edge/Fog Computing

Cited by 17

Vision-Based Mouth Motion Analysis in Epilepsy: A 3D Perspective

Ahmedt-Aristizabal, D., Nguyen, K., Denman, S., Sarfraz, M. S., Sridharan, S., Dionisio, S., & Fookes, C. (2019) · 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Face recognition and analysisEpilepsy research and treatment

Cited by 17

Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations

Mandlekar, A., Xu, D., Martín-Martín, R., Savarese, S., & Fei-Fei, L. (2020) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 17

SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs

Xu, Y., Guo, X., Zeng, Z., & Miao, C. (2025) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 17

Automated Questionnaires About Students’ JavaScript Programs: Towards Gauging Novice Programming Processes

Lehtinen, T., Haaranen, L., & Leinonen, J. (2023) · Proceedings of the 25th Australasian Computing Education Conference

Teaching and Learning ProgrammingOnline Learning and Analytics

Cited by 17

Self-attention Does Not Need $O(n^2)$ Memory

Rabe, M. N., & Staats, C. (2021) · arXiv

Topic ModelingParallel Computing and Optimization Techniques

Cited by 17

AFALog: A General Augmentation Framework for Log-based Anomaly Detection with Active Learning

Duan, C., Jia, T., Cai, H., Li, Y., & Huang, G. (2023) · 2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE)

Software System Performance and ReliabilityAnomaly Detection Techniques and Applications

Cited by 17

Quantum-Aided Multi-Objective Routing Optimization Using Back-Tracing-Aided Dynamic Programming

Alanis, D., Botsinis, P., Babar, Z., Nguyen, H. V., Chandra, D., Ng, S. X., & Hanzo, L. (2018) · IEEE Transactions on Vehicular Technology

Advanced Multi-Objective Optimization AlgorithmsMobile Ad Hoc Networks

Cited by 17

A Double Category Theoretic Analysis of Graded Linear Exponential Comonads

Katsumata, S.-Y. (2018) · Lecture Notes in Computer Science

Logic, programming, and type systemsAdvanced Algebra and Logic

Cited by 17

DIVAS: An LLM-based End-to-End Framework for SoC Security Analysis and Policy-based Protection

Paria, S., Dasgupta, A., & Bhunia, S. (2023) · arXiv

Physical Unclonable Functions (PUFs) and Hardware SecurityEmbedded Systems Design Techniques

Cited by 17

PROBE-GK: Predictive robust estimation using generalized kernels

Peretroukhin, V., Vega-Brown, W., Roy, N., & Kelly, J. (2016) · 2016 IEEE International Conference on Robotics and Automation (ICRA)

Robotics and Sensor-Based LocalizationTarget Tracking and Data Fusion in Sensor Networks

Cited by 17

The Canadian Planetary Emulation Terrain Energy-Aware Rover Navigation Dataset

Lamarre, O., Limoyo, O., Marić, F., & Kelly, J. (2020) · The International Journal of Robotics Research

Robotics and Sensor-Based LocalizationRobotic Path Planning Algorithms

Cited by 17

The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives

Voita, E., Sennrich, R., & Titov, I. (2019) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 17

Investigating the Impact of Code Generation Tools (ChatGPT & Github CoPilot) on Programming Education

Nizamudeen, F., Gatti, L., Bouali, N., & Ahmed, F. (2024) · Proceedings of the 16th International Conference on Computer Supported Education

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 17

Refocusing on Relevance: Personalization in NLG

Dudy, S., Bedrick, S., & Webber, B. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Speech and dialogue systemsNatural Language Processing Techniques

Cited by 17

TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks

Xu, F. F., Song, Y., Li, B., Tang, Y., Jain, K., Bao, M., Wang, Z. Z., Zhou, X., Guo, Z., Cao, M., et al. (2024) · arXiv

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 17

ChatGPT Evaluation: Can It Replace Grammarly and Quillbot Tools?

A. younis, H., Mohammed, O., Muthmainnah, Sahib, T. M., Akhtom, D., Hayder, I. M., Salisu, S., & Shahid, M. (2023) · British Journal of Applied Linguistics

Natural Language Processing TechniquesArtificial Intelligence in Education

Cited by 17

Effective active learning in digital pathology: A case study in tumor infiltrating lymphocytes

Meirelles, A. L., Kurc, T., Saltz, J., & Teodoro, G. (2022) · Computer Methods and Programs in Biomedicine

AI in cancer detectionMachine Learning and Algorithms

Cited by 17

SDoT-NFV: A Distributed SDN Based Security System with IoT for Smart City Environments

Islam, M. J., Rahman, A., Kabir, S., Khatun, A., Pritom, A. I., & Chowdhury, M. Z. (2021) · GUB Journal of Science and Engineering

Software-Defined Networks and 5GIoT and Edge/Fog Computing

Cited by 17

Automated Design Architecture for 1-D Cellular Automata Using Quantum Cellular Automata

Mardiris, V. A., Sirakoulis, G. C., & Karafyllidis, I. G. (2015) · IEEE Transactions on Computers

Cellular Automata and ApplicationsQuantum-Dot Cellular Automata

Cited by 17

Agent Lumos: Unified and Modular Training for Open-Source Language Agents

Yin, D., Brahman, F., Ravichander, A., Chandu, K., Chang, K.-W., Choi, Y., & Lin, B. Y. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesSpeech and dialogue systems

Cited by 17

Mind The Gap: Designers and Standards on Algorithmic System Transparency for Users

Schor, B. G. S., Norval, C., Charlesworth, E., & Singh, J. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems

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

Cited by 17

Transient Non-Stationarity and Generalisation in Deep Reinforcement Learning

Igl, M., Farquhar, G., Luketina, J., Boehmer, W., & Whiteson, S. (2020) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 17

Loosen control without losing control: Formalization and decentralization within commons‐based peer production

Rozas, D., & Huckle, S. (2021) · Journal of the Association for Information Science and Technology

Open Source Software InnovationsSoftware Engineering Techniques and Practices

Cited by 17