Most cited computer science papers
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Understanding why searching the internet inflates confidence in explanatory ability
Eliseev, E. D., & Marsh, E. J. (2023) · Applied Cognitive Psychology
Information Retrieval and Search BehaviorEducational Strategies and Epistemologies
Cited by 20
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Physiological Synchrony Predict Task Performance and Negative Emotional State during a Three-Member Collaborative Task
Algumaei, M., Hettiarachchi, I., Veerabhadrappa, R., & Bhatti, A. (2023) · Sensors
Emotion and Mood RecognitionTeam Dynamics and Performance
Cited by 20
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SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills
Agrawal, A., Panwar, A., Mohan, J., Kwatra, N., Gulavani, B. S., & Ramjee, R. (2023) · arXiv
Parallel Computing and Optimization TechniquesNatural Language Processing Techniques
Cited by 20
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Text Transformations in Contrastive Self-Supervised Learning: A Review
Bhattacharjee, A., Karami, M., & Liu, H. (2022) · Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 20
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CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations
Salewski, L., Koepke, A. S., Lensch, H. P. A., & Akata, Z. (2022) · Lecture Notes in Computer Science
Multimodal Machine Learning ApplicationsExplainable Artificial Intelligence (XAI)
Cited by 20
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Learning Soft Linear Constraints with Application to Citation Field Extraction
Anzaroot, S., Passos, A., Belanger, D., & McCallum, A. (2014) · arXiv
Topic Modelingscientometrics and bibliometrics research
Cited by 20
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Multi-Dimensional Vision Transformer Compression via Dependency Guided Gaussian Process Search
Hou, Z., & Kung, S.-Y. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Advanced Neural Network ApplicationsMachine Learning and Data Classification
Cited by 20
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Low-cost hardware implementation of Reservoir Computers
Alomar, M. L., Canals, V., Martinez-Moll, V., & Rossello, J. L. (2014) · 2014 24th International Workshop on Power and Timing Modeling, Optimization and Simulation (PATMOS)
Neural Networks and Reservoir ComputingAdvanced Memory and Neural Computing
Cited by 20
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Best practices for data publication in the astronomical literature
Chen, T. X., Schmitz, M., Mazzarella, J. M., Wu, X., van Eyken, J. C., Accomazzi, A., Akeson, R. L., Allen, M., Beaton, R., Berriman, G. B., et al. (2022) · The Astrophysical Journal Supplement Series
Research Data Management PracticesScientific Computing and Data Management
Cited by 20
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Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs
Balloccu, S., Schmidtová, P., Lango, M., & Dušek, O. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 20
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Energy-Efficient Cluster Head Selection via Quantum Approximate Optimization
Choi, J., Oh, S., & Kim, J. (2020) · Electronics
Mobile Ad Hoc NetworksEnergy Efficient Wireless Sensor Networks
Cited by 20
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Animal Personas: Representing Dog Stakeholders in Interaction Design
Hirskyj-Douglas, I., Read, J. C., & Horton, M. (2017) · Electronic Workshops in Computing
Persona Design and ApplicationsInnovative Human-Technology Interaction
Cited by 20
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Retrieval-Based Diagnostic Decision Support: Mixed Methods Study
Abdullahi, T., Mercurio, L., Singh, R., & Eickhoff, C. (2024) · JMIR Medical Informatics
Machine Learning in HealthcareInformation Retrieval and Search Behavior
Cited by 20
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Virtual Reality Exposure Therapy for Driving Phobia Disorder (2): System Refinement and Verification
Trappey, A., Trappey, C. V., Chang, C.-M., Tsai, M.-C., Kuo, R. R. T., & Lin, A. P. C. (2020) · Applied Sciences
Virtual Reality Applications and ImpactsAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Cited by 20
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Long-term variable Q transform: A novel time-frequency transform algorithm for synthetic speech detection
Li, J., Wang, H., He, P., Abdullahi, S. M., & Li, B. (2022) · Digital Signal Processing
Speech Recognition and SynthesisSpeech and Audio Processing
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Information Technologies, Health, and Globalization: Anyone Excluded?
Parent, F., Coppieters, Y., & Parent, M. (2001) · Journal of Medical Internet Research
ICT in Developing CommunitiesHealth Literacy and Information Accessibility
Cited by 20
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Automated HW/SW co-design for edge AI: state, challenges and steps ahead
Bringmann, O., Ecker, W., Feldner, I., Frischknecht, A., Gerum, C., Hämäläinen, T., Hanif, M. A., Klaiber, M. J., Mueller-Gritschneder, D., Bernardo, P. P., et al. (2021) · Proceedings of the 2021 International Conference on Hardware/Software Codesign and System Synthesis
Embedded Systems Design TechniquesIoT and Edge/Fog Computing
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Beyond Numbers: Creating Analogies to Enhance Data Comprehension and Communication with Generative AI
Chen, Q., Shuai, W., Zhang, J., Sun, Z., & Cao, N. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems
Data Visualization and AnalyticsInnovative Human-Technology Interaction
Cited by 20
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Adaptive e-Learning AI-Powered Chatbot based on Multimedia Indexing
Janati, S. E., Maach, A., & El, D. (2020) · International Journal of Advanced Computer Science and Applications
Intelligent Tutoring Systems and Adaptive LearningArtificial Intelligence in Education
Cited by 20
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New Approach for Conversational Agent Definition by Non-Programmers: A Visual Domain-Specific Language
Rodriguez-Gil, L., Garcia-Zubia, J., Orduna, P., Villar-Martinez, A., & Lopez-De-Ipina, D. (2019) · IEEE Access
Intelligent Tutoring Systems and Adaptive LearningTeaching and Learning Programming
Cited by 20
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GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning
Mavromatis, C., & Karypis, G. (2024) · arXiv
Topic ModelingAdvanced Graph Neural Networks
Cited by 20
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Discourse cohesion: a signature of collaboration
Dascalu, M., Trausan-Matu, S., Dessus, P., & McNamara, D. S. (2015) · Proceedings of the Fifth International Conference on Learning Analytics And Knowledge
Intelligent Tutoring Systems and Adaptive LearningInnovative Teaching and Learning Methods
Cited by 20
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Edge-cloud collaborative processing for intelligent internet of things: a case study on smart surveillance
Mudassar, B. A., Ko, J. H., & Mukhopadhyay, S. (2018) · Proceedings of the 55th Annual Design Automation Conference
IoT and Edge/Fog ComputingAdvanced Neural Network Applications
Cited by 20
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Situational Awareness based Risk-adaptable Access Control in Enterprise Networks
Lee, B., Vanickis, R., Rogelio, F., & Jacob, P. (2017) · Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security
Access Control and TrustInformation and Cyber Security
Cited by 20
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