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Papers matching “performativity” 2,720

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Virtual Platform Acceleration through Userspace Host Execution
2022 IEEE International System-on-Chip Conference (SOCC) conference-paper Computer Science Embedded Systems Design Techniques

Lukas Jünger, Antonios Salios, Peter Blocher, Rainer Leupers

0

citations
Landscape-Aware Automated Algorithm Configuration using Multi-output Mixed Regression and Classification
2024 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Fu Xing Long, Moritz A. Frenzel, Markus Gitterle, Thomas Bäck, Bas van Stein

0

citations
The Mini Wheelbot Dataset: High-Fidelity Data for Robot Learning (Dataset)
2026 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Reinforcement Learning in Robotics Open access

Henrik Hose, Paul Brunzema, Devdutt Subhasish, Sebastian Trimpe

0

citations
Meta Generative Flow Networks with Personalization for Task-Specific Adaptation
2023 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Xinyuan Ji, Xu Zhang, Wei Xi, Haozhi Wang, Olga Gadyatskaya, Yinchuan Li

0

citations
From academic to media capital: To what extent does the scientific reputation of universities translate into Wikipedia attention?
2023 arXiv (Cornell University) preprint Computer Science Web visibility and informetrics Open access

Wenceslao Arroyo‐Machado, Adrián A. Díaz‐Faes, Enrique Herrera‐Viedma, Rodrigo Costas

0

citations
Deep learning-based auto-segmentation of paraganglioma for growth monitoring
2024 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

E. M. C. Sijben, Jeroen C. Jansen, Mischa de Ridder, Peter A. N. Bosman, Tanja Alderliesten

0

citations
Evaluating Personality Traits of Large Language Models Through Scenario-based Interpretive Benchmarking
2025 Research Square preprint Computer Science Topic Modeling Open access

Alessandro Berti

0

citations
PARA: Parameter-Efficient Fine-tuning with Prompt Aware Representation Adjustment
2025 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Zequan Liu, Yi Zhao, Ming Tan, Wei Zhu, Aaron Xuxiang Tian

0

citations
How Private is Low-Frequency Speech Audio in the Wild? An Analysis of Verbal Intelligibility by Humans and Machines
2024 arXiv (Cornell University) preprint Computer Science Speech and Audio Processing Open access

Ailin Liu, Pepijn Vunderink, Jose Vargas Quiros, Chirag Raman, Hayley Hung

0

citations
A Comprehensive Study on Multi-Task Learning for Domain Generation Algorithm (DGA) Detection
2024 International Conference on Privacy, Security and Trust (PST) conference-paper Computer Science Spam and Phishing Detection

Arthur Drichel, Ulrike Meyer

0

citations
PARA: Parameter-Efficient Fine-tuning with Prompt-Aware Representation Adjustment
2024 Conference on Empirical Methods in Natural Language Processing: Industry Track (EMNLP) conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access

Zequan Liu, Yi Zhao, Ming Tan, Wei Zhu, Aaron Xuxiang Tian

0

citations
Understanding Transfer Learning and Gradient-Based Meta-Learning Techniques
2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Mike Huisman, Aske Plaat, Jan N. van Rijn

0

citations
Heterophily-Based Graph Neural Network for Imbalanced Classification
2023 arXiv (Cornell University) preprint Computer Science Advanced Graph Neural Networks Open access

Zirui Liang, Yuntao Li, Tianjin Huang, Akrati Saxena, Mykola Pechenizkiy

0

citations
Enhancing Communcation in Multi-Domain Ad-Hoc Networks for Maritime Critical Infrastructure Protection
2024 conference-paper Computer Science Mobile Ad Hoc Networks Open access

Konstantin Brandl, Jean Pierre von der Weid, Axel Hahn, Thierry Deschamps de Paillette

0

citations
Subspace Adaptation Prior for Few-Shot Learning
2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Mike Huisman, Aske Plaat, Jan N. van Rijn

0

citations
An Examination of Offline-Trained Encoders in Vision-Based Deep Reinforcement Learning for Autonomous Driving
2024 arXiv (Cornell University) preprint Computer Science Reinforcement Learning in Robotics Open access

Shawan Taha Mohammed, Alp Argun, Nicolas Bonnotte, Gerd Ascheid

0

citations
Efficient speech detection in environmental audio using acoustic recognition and knowledge distillation
2023 arXiv (Cornell University) preprint Computer Science Music and Audio Processing Open access

Drew Priebe, Burooj Ghani, Dan Stowell

0

citations
Schistosoma Haematobium Egg Image Dataset
2023 dataset Computer Science Digital Imaging for Blood Diseases Open access

Prosper Oyibo, Brice Meulah, Tope Agbana, Michel Bengtson, Lisette van Lieshout, Wellington Aghoghovwia Oyibo, +2 more

0

citations
The Importance of Being Constrained - Dataset
2022 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Metaheuristic Optimization Algorithms Research Open access

Diederick Vermetten, Anna V. Kononova, Fabio Caraffini, Mădălina Irina Mitran, Daniela Zaharie

0

citations
Cholesky-like Preconditioner for Hodge Laplacians via Heavy Collapsible Subcomplex
2024 SIAM Journal on Matrix Analysis and Applications article Computer Science Matrix Theory and Algorithms

Anton Savostianov, Francesco Tudisco, Nicola Guglielmi

0

citations
Visual quality assessment for decision making in standardization projects
2024 other Computer Science Image and Video Quality Assessment

Mathias Wien

0

citations
ExcluIR: Exclusionary Neural Information Retrieval
2024 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access

Wen-Hao Zhang, Mengqi Zhang, Shiguang Wu, Jiahuan Pei, Zhaochun Ren, Maarten de Rijke, +2 more

0

citations
Multi-center evaluation of an automated pipeline to segment perivascular spaces from routine MRI in patients with small vessel disease
2024 Cerebral Circulation - Cognition and Behavior article Computer Science Medical Image Segmentation Techniques Open access

Alberto De Luca, Ana Sofia Costa, Geert Jan Biessels, María del C. Valdés Hernández, Lucia Ballerini, Francesca M. Chappell, +6 more

0

citations
An Empirical Comparison of Meta-Modeling Techniques for Robust Design Optimization
2020 Zenodo (CERN European Organization for Nuclear Research) dataset Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Sibghat Ullah, Hao Wang, Stefan Menzel, Thomas Bäck, Bernhard Sendhoff

0

citations
Observation Encoding for Reinforcement Learning Agents in 3D Game Environments
2024 IEEE Conference on Games (CoG) conference-paper Computer Science Reinforcement Learning in Robotics

Lennart Haase, Nicolas Fischöder, Igor Vatolkin

0

citations