Check computer science papers: citations, claims and retractions

The Challenge of Value Alignment: From Fairer Algorithms to AI Safety

Gabriel, I., & Ghazavi, V. (2022) · Oxford Handbook of Digital Ethics

Ethics and Social Impacts of AIPhilosophical Ethics and Theory

Cited by 52

FENCE: Feasible Evasion Attacks on Neural Networks in Constrained Environments

Chernikova, A., & Oprea, A. (2022) · ACM Transactions on Privacy and Security

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 52

SADeepSense: Self-Attention Deep Learning Framework for Heterogeneous On-Device Sensors in Internet of Things Applications

Yao, S., Zhao, Y., Shao, H., Liu, D., Liu, S., Hao, Y., Piao, A., Hu, S., Lu, S., & Abdelzaher, T. F. (2019) · IEEE INFOCOM 2019 - IEEE Conference on Computer Communications

Context-Aware Activity Recognition SystemsIoT and Edge/Fog Computing

Cited by 52

User Simulation for Evaluating Information Access Systems

Balog, K., & Zhai, C. (2024) · Foundations and Trends® in Information Retrieval

Information Retrieval and Search BehaviorRecommender Systems and Techniques

Cited by 52

A study of top-k measures for discrimination discovery

Pedreschi, D., Ruggieri, S., & Turini, F. (2012) · Proceedings of the 27th Annual ACM Symposium on Applied Computing

Ethics and Social Impacts of AIPrivacy-Preserving Technologies in Data

Cited by 52

Sensory- and Action-Oriented Embodiment of Neurally-Interfaced Robotic Hand Prostheses

Di Pino, G., Romano, D., Spaccasassi, C., Mioli, A., D’Alonzo, M., Sacchetti, R., Guglielmelli, E., Zollo, L., Di Lazzaro, V., Denaro, V., et al. (2020) · Frontiers in Neuroscience

Virtual Reality Applications and ImpactsTactile and Sensory Interactions

Cited by 52

Pretrain-KGE: Learning Knowledge Representation from Pretrained Language Models

Zhang, Z., Liu, X., Zhang, Y., Su, Q., Sun, X., & He, B. (2020) · Findings of the Association for Computational Linguistics: EMNLP 2020

Advanced Graph Neural NetworksTopic Modeling

Cited by 52

Large language models overcome the challenges of unstructured text data in ecology

Castro, A., Pinto, J., Reino, L., Pipek, P., & Capinha, C. (2024) · Ecological Informatics

Topic ModelingComputational and Text Analysis Methods

Cited by 52

MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records

Xu, Z., So, D. R., & Dai, A. M. (2021) · arXiv

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 52

Pervasive or Ubiquitous Healthcare?

Arnrich, B., Bardram, J., & Mayora, O. (2010) · Methods of Information in Medicine

Context-Aware Activity Recognition SystemsMobile Health and mHealth Applications

Cited by 52

LLMatic: Neural Architecture Search Via Large Language Models And Quality Diversity Optimization

Nasir, M. U., Earle, S., Togelius, J., James, S., & Cleghorn, C. (2024) · Proceedings of the Genetic and Evolutionary Computation Conference

Evolutionary Algorithms and ApplicationsAdvanced Neural Network Applications

Cited by 52

Mental Health Monitoring System using Artificial Intelligence: A Review

Mody, V., & Mody, V. (2019) · 2019 IEEE 5th International Conference for Convergence in Technology (I2CT)

Emotion and Mood RecognitionDigital Mental Health Interventions

Cited by 52

Better Safe Than Sorry: An Adversarial Approach to Improve Social Bot Detection

Cresci, S., Petrocchi, M., Spognardi, A., & Tognazzi, S. (2019) · Proceedings of the 10th ACM Conference on Web Science

Spam and Phishing DetectionMisinformation and Its Impacts

Cited by 52

Contrastive Learning Inverts the Data Generating Process

Zimmermann, R. S., Sharma, Y., Schneider, S., Bethge, M., & Brendel, W. (2021) · arXiv

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 52

Remotely Co-Designing Features for Communication Applications using Automatic Captioning with Deaf and Hearing Pairs

Seita, M., Lee, S., Andrew, S., Shinohara, K., & Huenerfauth, M. (2022) · CHI Conference on Human Factors in Computing Systems

Usability and User Interface DesignDigital Accessibility for Disabilities

Cited by 52

“Who, when, and why: a machine learning approach to prioritizing students at risk of not graduating high school on time,”

Aguiar, E., Lakkaraju, H., Bhanpuri, N., Miller, D., Yuhas, B., & Addison, K. L. (2015) · Proceedings of the Fifth International Conference on Learning Analytics And Knowledge

Online Learning and AnalyticsEducational Outcomes and Influences

Cited by 52

Generalizable Multi-Site Training and Testing Of Deep Neural Networks Using Image Normalization

Onofrey, J. A., Casetti-Dinescu, D. I., Lauritzen, A. D., Sarkar, S., Venkataraman, R., Fan, R. E., Sonn, G. A., Sprenkle, P. C., Staib, L. H., & Papademetris, X. (2019) · 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 52

Towards Quantum-Enhanced Machine Learning for Network Intrusion Detection

Gouveia, A., & Correia, M. (2020) · 2020 IEEE 19th International Symposium on Network Computing and Applications (NCA)

Network Security and Intrusion DetectionQuantum Computing Algorithms and Architecture

Cited by 52

Lost at C: A User Study on the Security Implications of Large Language Model Code Assistants

Sandoval, G., Pearce, H., Nys, T., Karri, R., Garg, S., & Dolan-Gavitt, B. (2022) · arXiv

Software Engineering ResearchWeb Application Security Vulnerabilities

Cited by 52

RealTime QA: What's the Answer Right Now?

Kasai, J., Sakaguchi, K., Takahashi, Y., Bras, R. L., Asai, A., Yu, X., Radev, D., Smith, N. A., Choi, Y., & Inui, K. (2022) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 52

Evolution patterns of open-source software systems and communities

Nakakoji, K., Yamamoto, Y., Nishinaka, Y., Kishida, K., & Ye, Y. (2002) · Proceedings of the international workshop on Principles of software evolution - IWPSE '02

Open Source Software InnovationsSoftware Engineering Techniques and Practices

Cited by 52

Insider threat detection model using anomaly-based Isolation Forest algorithm

Al-Shehari, T., Al-Razgan, M., Alfakih, T., Alsowail, R. A., & Pandiaraj, S. (2023) · IEEE Access

Network Security and Intrusion DetectionInformation and Cyber Security

Cited by 52

Do Algorithms Shape Character? Considering Algorithmic Ethical Subjectivation

Magalhães, J. C. (2018) · Social Media + Society

Ethics and Social Impacts of AIFoucault, Power, and Ethics

Cited by 52

Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or curation

Deasy, J., Liò, P., & Ercole, A. (2020) · Scientific Reports

Machine Learning in HealthcareSepsis Diagnosis and Treatment

Cited by 52