Check computer science papers: citations, claims and retractions

Experiences in assessing product family software architecture for evolution

Maccari, A. (2002) · Proceedings of the 24th international conference on Software engineering - ICSE '02

Advanced Software Engineering MethodologiesSoftware Engineering Techniques and Practices

Cited by 20

MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research

Samvelyan, M., Kirk, R., Kurin, V., Parker-Holder, J., Jiang, M., Hambro, E., Petroni, F., Küttler, H., Grefenstette, E., & Rocktäschel, T. (2021) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 20

Intraoperative margin assessment for basal cell carcinoma with deep learning and histologic tumor mapping to surgical site

Levy, J. J., Davis, M. J., Chacko, R. S., Davis, M. J., Fu, L. J., Goel, T., Pamal, A., Nafi, I., Angirekula, A., Suvarna, A., et al. (2024) · npj Precision Oncology

AI in cancer detectionNonmelanoma Skin Cancer Studies

Cited by 20

A Novel Technique for the Construction of Safe Substitution Boxes Based on Cyclic and Symmetric Groups

Razaq, A., Al-Olayan, H. A., Ullah, A., Riaz, A., & Waheed, A. (2018) · Security and Communication Networks

Cryptographic Implementations and SecurityCoding theory and cryptography

Cited by 20

A Machine Learning Framework & Development for Insider Cyber-crime Threats Detection

Yousef, R., Jazzar, M., Eleyan, A., & Bejaoui, T. (2023) · 2023 International Conference on Smart Applications, Communications and Networking (SmartNets)

Network Security and Intrusion DetectionInformation and Cyber Security

Cited by 20

Secure real-time transmission of multi-spectral satellite images inducing a 6D hyper-chaotic system and BB84 QKD protocol

Mallick, B., Parida, P., Nayak, C., Ali, N., Panda, M. K., Prasad, B., Sahu, G., & Palai, G. (2025) · Alexandria Engineering Journal

Chaos-based Image/Signal EncryptionQuantum Information and Cryptography

Cited by 20

Deepfakes on Demand: The rise of accessible non-consensual deepfake image generators

Hawkins, W., Mittelstadt, B., & Russell, C. (2025) · Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 20

IDS alerts classification using knowledge-based evaluation

Gupta, D., Joshi, P. S., Bhattacharjee, A. K., & Mundada, R. S. (2012) · 2012 Fourth International Conference on Communication Systems and Networks (COMSNETS 2012)

Network Security and Intrusion DetectionNetwork Packet Processing and Optimization

Cited by 20

Manipulating the Perceived Personality Traits of Language Models

Caron, G., & Srivastava, S. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Speech and dialogue systemsTopic Modeling

Cited by 20

Signal Quality and Compactness of a Dual-Accelerometer System for Gyro-Free Human Motion Analysis

Villeneuve, E., Harwin, W., Holderbaum, W., Sherratt, R. S., & White, R. (2016) · IEEE Sensors Journal

Context-Aware Activity Recognition SystemsInertial Sensor and Navigation

Cited by 20

Evolving multimodal robot behavior via many stepping stones with the combinatorial multiobjective evolutionary algorithm

Huizinga, J., & Clune, J. (2022) · Evolutionary Computation

Advanced Multi-Objective Optimization AlgorithmsEvolutionary Algorithms and Applications

Cited by 20

Guide to securing legacy IEEE 802.11 wireless networks

Scarfone, K. A., Dicoi, D., Sexton, M., & Tibbs, C. (2008)

Wireless Networks and ProtocolsNetwork Security and Intrusion Detection

Cited by 20

“I Didn’t Catch That, But I’ll Try My Best”: Anticipatory Error Handling in a Voice Controlled Game

Zargham, N., Pfau, J., Schnackenberg, T., & Malaka, R. (2022) · CHI Conference on Human Factors in Computing Systems

Speech and dialogue systemsUsability and User Interface Design

Cited by 20

Visual morphology:

Agaian, S. S. (1999) · SPIE Proceedings

Image and Signal Denoising MethodsDigital Image Processing Techniques

Cited by 20

Dialogue-based CALL: a case study on teaching pronouns

Vlugter, P., Knott, A., McDonald, J., & Hall, C. (2009) · Computer Assisted Language Learning

Intelligent Tutoring Systems and Adaptive LearningSpeech and dialogue systems

Cited by 20

BEVBert: Multimodal Map Pre-training for Language-guided Navigation

An, D., Qi, Y., Li, Y., Huang, Y., Wang, L., Tan, T., & Shao, J. (2022) · arXiv

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 20

Caution Ahead: Numerical Reasoning and Look‐Ahead Bias in AI Models

LEVY, B. (2026) · Journal of Accounting Research

Artificial Intelligence ApplicationsComputational and Text Analysis Methods

Cited by 20

Speech recognition of aged voice in the AAL context: Detection of distress sentences

Aman, F., Vacher, M., Rossato, S., & Portet, F. (2013) · 2013 7th Conference on Speech Technology and Human - Computer Dialogue (SpeD)

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 20

Crypto/space: computational parasitism, virtual land grabs, and the production of Web3 ‘exit zones

Howson, P., Rosales, A., Jutel, O., Gloerich, I., Llorens, M. G., de Vries, A., Crandall, J., & Dolan, P. (2024) · Political Geography

Blockchain Technology Applications and SecurityHousing, Finance, and Neoliberalism

Cited by 20

FAIR adoption, assessment and challenges at UniProt

Garcia, L., Bolleman, J., Gehant, S., Redaschi, N., Martin, M., UniProt Consortium, Bateman, A., Magrane, M., Martin, M., Orchard, S., et al. (2019) · Scientific Data

Research Data Management PracticesScientific Computing and Data Management

Cited by 20

Contrastive Predictive Coding Based Feature for Automatic Speaker Verification

Lai, C.-I. (2019) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 20

Regularized Binary Network Training

Darabi, S., Belbahri, M., Courbariaux, M., & Nia, V. P. (2018) · arXiv

Advanced Neural Network ApplicationsNeural Networks and Applications

Cited by 20

LM-Polygraph: Uncertainty estimation for language models

Fadeeva, E., Vashurin, R., Tsvigun, A., Vazhentsev, A., Petrakov, S., Fedyanin, K., Vasilev, D., Goncharova, E., Panchenko, A., Panov, M., et al. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: System Demonstrations

Natural Language Processing TechniquesTopic Modeling

Cited by 20

Parameter-Efficient Transfer Learning with Diff Pruning

Guo, D., Rush, A. M., & Kim, Y. (2020) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 20