Check computer science papers: citations, claims and retractions

Algorithmic and Ethical Aspects of Recommender Systems in e-Commerce

Paraschakis, D. (2018)

Recommender Systems and TechniquesEthics and Social Impacts of AI

Cited by 35

The design of reciprocal learning between human and artificial intelligence

Zagalsky, A., Te'eni, D., Yahav, I., Schwartz, D. G., Silverman, G., Cohen, D., Mann, Y., & Lewinsky, D. (2021) · Proceedings of the ACM on Human-Computer Interaction

Explainable Artificial Intelligence (XAI)Human-Automation Interaction and Safety

Cited by 35

M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions

Wang, Z., Teo, S., Ouyang, J., Xu, Y., & Shi, W. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingInformation Retrieval and Search Behavior

Cited by 35

FOLIO: Natural Language Reasoning with First-Order Logic

Han, S., Schoelkopf, H., Zhao, Y., Qi, Z., Riddell, M., Zhou, W., Coady, J., Peng, D., Qiao, Y., Benson, L., et al. (2022) · arXiv

Topic ModelingLogic, Reasoning, and Knowledge

Cited by 35

Clock Frequency Impact on the Performance of High-Security Cryptographic Cipher Suites for Energy-Efficient Resource-Constrained IoT Devices

Suárez-Albela, M., Fraga-Lamas, P., Castedo, L., & Fernández-Caramés, T. M. (2018) · Sensors

Cryptographic Implementations and SecurityIoT and Edge/Fog Computing

Cited by 35

Opportunity++: A Multimodal Dataset for Video- and Wearable, Object and Ambient Sensors-Based Human Activity Recognition

Ciliberto, M., Fortes Rey, V., Calatroni, A., Lukowicz, P., & Roggen, D. (2021) · Frontiers in Computer Science

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 35

Learning to retrieve passages without supervision

Ram, O., Shachaf, G., Levy, O., Berant, J., & Globerson, A. (2022) · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Topic ModelingInformation Retrieval and Search Behavior

Cited by 35

Plume Source Position Estimation Using Sensor Networks

Michaelides, M. P., & Panayiotou, C. G. (2005) · Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation Intelligent Control, 2005.

Target Tracking and Data Fusion in Sensor NetworksDistributed Sensor Networks and Detection Algorithms

Cited by 35

Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction

Ma, X., Guo, J., Zhang, R., Fan, Y., & Cheng, X. (2022) · Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Information Retrieval and Search BehaviorTopic Modeling

Cited by 35

Context as a Tool: Context Management for Long-Horizon SWE-Agents

Liu, S., Yang, J., Jiang, B., Li, Y., Guo, J., Liu, X., & Dai, B. (2025) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 35

A prototype data flow computer with token labelling

WATSON, I., & GURD, J. (1979) · 1979 International Workshop on Managing Requirements Knowledge (MARK)

Parallel Computing and Optimization TechniquesEmbedded Systems Design Techniques

Cited by 35

Ultra-fine Entity Typing with Indirect Supervision from Natural Language Inference

Li, B., Yin, W., & Chen, M. (2022) · Transactions of the Association for Computational Linguistics

Topic ModelingNatural Language Processing Techniques

Cited by 35

Aging with grace: Lifelong model editing with discrete key-value adaptors

Hartvigsen, T., Sankaranarayanan, S., Palangi, H., Kim, Y., & Ghassemi, M. (2023) · Advances in Neural Information Processing Systems 36

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 35

Stand-Alone Objective Segmentation Quality Evaluation

Correia, P. L., & Pereira, F. (2002) · EURASIP Journal on Advances in Signal Processing

Image and Video Quality AssessmentVideo Surveillance and Tracking Methods

Cited by 35

PDMA: Probabilistic service migration approach for delay‐aware and mobility‐aware mobile edge computing

Xu, M., Zhou, Q., Wu, H., Lin, W., Ye, K., & Xu, C. (2022) · Software: Practice and Experience

IoT and Edge/Fog ComputingCaching and Content Delivery

Cited by 35

Real-Time Activity Recognition on Smartphones Using Deep Neural Networks

Zhang, L., Wu, X., & Luo, D. (2015) · 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom)

Context-Aware Activity Recognition SystemsHuman Mobility and Location-Based Analysis

Cited by 35

Privacy-Preservation Techniques for IoT Devices: A Systematic Mapping Study

Torre, D., Chennamaneni, A., & Rodriguez, A. (2023) · IEEE Access

Advanced Authentication Protocols SecurityIoT and Edge/Fog Computing

Cited by 35

Should learning analytics models include sensitive attributes? Explaining the why

Deho, O. B., Joksimovic, S., Li, J., Zhan, C., Liu, J., & Liu, L. (2023) · IEEE Transactions on Learning Technologies

Online Learning and AnalyticsEthics and Social Impacts of AI

Cited by 35

Ten simple rules for helping newcomers become contributors to open projects

Sholler, D., Steinmacher, I., Ford, D., Averick, M., Hoye, M., & Wilson, G. (2019) · PLOS Computational Biology

Open Source Software InnovationsAcademic Publishing and Open Access

Cited by 35

Responsible AI, SDGs, and AI Governance in Africa

Wakunuma, K., Ogoh, G., Eke, D. O., & Akintoye, S. (2022) · 2022 IST-Africa Conference (IST-Africa)

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 35

Deepfakes: temporal sequential analysis to detect face-swapped video clips using convolutional long short-term memory

Kaur, S., Kumar, P., & Kumaraguru, P. (2020) · Journal of Electronic Imaging

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 35

Achievement Goals in CS1: Replication and Extension

Zingaro, D., Craig, M., Porter, L., Becker, B. A., Cao, Y., Conrad, P., Cukierman, D., Hellas, A., Loksa, D., & Thota, N. (2018) · Proceedings of the 49th ACM Technical Symposium on Computer Science Education

Teaching and Learning ProgrammingEducation, Achievement, and Giftedness

Cited by 35

Sentiment analysis on evolving social streams: how self-report imbalances can help

Guerra, P. C., Meira, W., & Cardie, C. (2014) · Proceedings of the 7th ACM international conference on Web search and data mining

Sentiment Analysis and Opinion MiningEmotion and Mood Recognition

Cited by 35

DAPIE: Interactive Step-by-Step Explanatory Dialogues to Answer Children’s Why and How Questions

Lee, Y., Kim, T. S., Kim, S., Yun, Y., & Kim, J. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Speech and dialogue systemsIntelligent Tutoring Systems and Adaptive Learning

Cited by 35