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Papers matching “detection efficiency” 29

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Combining Retrieval and Classification: Balancing Efficiency and Accuracy in Duplicate Bug Report Detection
2024 arXiv (Cornell University) preprint Computer Science Software Engineering Research Open access

Qianru Meng, Xiao Zhang, Guus J. Ramackers, Visser Joost

0

citations
Model-agnostic Body Part Relevance Assessment for Pedestrian Detection
2023 arXiv (Cornell University) preprint Computer Science Explainable Artificial Intelligence (XAI) Open access

Maurice Günder, Rafet Sifa, Christian Bauckhage

0

citations
Detecting Sexism in German Online Newspaper Comments with Open-Source Text Embeddings (Team GDA, GermEval2024 Shared Task 1: GerMS-Detect, Subtasks 1 and 2, Closed Track)
2024 arXiv (Cornell University) preprint Computer Science Hate Speech and Cyberbullying Detection Open access

Florian Bremm, Patrick Gustav Blaneck, Tobias Bornheim, Niklas Grieger, Stephan Bialonski

0

citations
Deep Learning Approach for Bubble Detection and Segmentation with YOLOv5
2024 Preprints.org preprint Computer Science Advanced Neural Network Applications Open access

Amit Sharma, Moritz Eickhoff, Thomas Echterhof, Christian Wuppermann

6

citations
Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning
2023 arXiv (Cornell University) preprint Computer Science Anomaly Detection Techniques and Applications Open access

Yongqi Dong, Xingmin Lu, Ruohan Li, Wei Song, Bart van Arem, Haneen Farah

0

citations
OML-AD: Online Machine Learning for Anomaly Detection in Time Series Data
2024 arXiv (Cornell University) preprint Computer Science Anomaly Detection Techniques and Applications Open access

Sebastian Wette, Florian Heinrichs

2

citations
Efficient EEG Seizure Detection Using INT8 Quantization, Channel Pruning, and Spiking Neural Networks
2026 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Kartikey Ahlawat

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
ROSAR: An Adversarial Re-Training Framework for Robust Side-Scan Sonar Object Detection
2024 arXiv (Cornell University) preprint Computer Science Adversarial Robustness in Machine Learning Open access

Martin Aubard, László Antal, Ana Maria Madureira, Luís Filipe Teixeira, Erika Ábrahám

0

citations
Towards fully automated Inner Ear Analysis: Deep-Learning-based Joint Segmentation and Landmark Detection Framework
2022 Research Square preprint Computer Science Medical Image Segmentation Techniques Open access

Jannik Stebani, Martin Blaimer, Simon Zabler, Tilmann Neun, Daniël M. Pelt, Kristen Rak

0

citations
Translation as a Computationally Efficient Bridge: Feasibility of English BERT for Low-Resource Languages
2026 arXiv (Cornell University) preprint Computer Science Topic Modeling Open access

Hielke Muizelaar, Giulia Rivetti, Marco René Spruit, M. Haas

0

citations
RockNet: Distributed Learning on Ultra-Low-Power Devices
2025 arXiv (Cornell University) preprint Computer Science IoT and Edge/Fog Computing Open access

Alexander Gräfe, Fabian Mager, Marco Zimmerling, Sebastian Trimpe

0

citations
Swarm learning for decentralized artificial intelligence in cancer histopathology
2021 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access

Oliver Lester Saldanha, Philip Quirke, Nicholas Paul West, Jacqueline A. James, Maurice Bernard Loughrey, Heike Irmgard Grabsch, +20 more

22

citations
Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers
2023 RWTH Publications (RWTH Aachen) preprint Computer Science AI in cancer detection Open access

Firas Khader, Jakob Nikolas Kather, Sven Nebelung, Christiane Katharina Kuhl, Johannes Stegmaier, Daniel Truhn

1

citations
Analytically Characterized Optimal Power Control for Signal-Level-Integrated Sensing, Computing and Communication in Federated Learning
2026 arXiv (Cornell University) preprint Computer Science Distributed Sensor Networks and Detection Algorithms Open access

Paul Zheng, Yao Zhu, Xiaopeng Yuan, Yulin Hu, Anke Schmeink

0

citations
A Kernel Two-sample Test for Dynamical Systems
2020 arXiv (Cornell University) preprint Computer Science Anomaly Detection Techniques and Applications Open access

Friedrich Solowjow, Dominik Baumann, Christian Fiedler, Andreas Jocham, Thomas Seel, Sebastian Trimpe

0

citations
NUMA balancing hampering performance of spiking network simulations
2026 arXiv (Cornell University) preprint Computer Science Parallel Computing and Optimization Techniques Open access

Melissa Lober, Alp Inangu, Gorka Peraza Coppola, D. Terhorst, Sebastian Gillessen, Jan Vogelsang, +6 more

0

citations
Proving the Potential of Skeleton Based Action Recognition to Automate the Analysis of Manual Processes
2023 arXiv (Cornell University) preprint Computer Science Human Pose and Action Recognition Open access

Marlin Berger, Frederik Cloppenburg, Jens Eufinger, Thomas Gries

0

citations
Provably Bounding Neural Network Preimages
2023 arXiv (Cornell University) preprint Computer Science Formal Methods in Verification Open access

Suhas Kotha, Christopher Brix, J. Zico Kolter, Krishnamurthy

6

citations
Diffusion and Flow Matching Models for Tabular Data: A Survey
2025 arXiv (Cornell University) preprint Computer Science Generative Adversarial Networks and Image Synthesis Open access

Zhong Li, Qi Huang, Lincen Yang, Yang Zhao, Bas van Stein, Thomas Bäck, +1 more

0

citations
Graph Theoretic Approach to Quantum Nonstabilizerness
2026 arXiv (Cornell University) preprint Computer Science Quantum Computing Algorithms and Architecture Open access

Yingjian Liu, Albert Gasull, Mengyao Hu, Ruiyun Zhang, Flávio Baccari Júnior, Jordi Tura

0

citations
Scalable orthogonal delay-division multiplexed OEO artificial neural network
2023 preprint Computer Science Neural Networks and Reservoir Computing Open access

Andrea Zazzi, Arka Dipta Das, Jeremy Witzens

1

citations
Repulsive Curves.
2020 arXiv (Cornell University) preprint Computer Science Computer Graphics and Visualization Techniques Open access

Christopher Yu, Keenan Crane

1

citations
Fitness-based Linkage Learning and Maximum-Clique Conditional Linkage Modelling for Gray-box Optimization with RV-GOMEA
2024 arXiv (Cornell University) preprint Computer Science Metaheuristic Optimization Algorithms Research Open access

Georgios Andreadis, Tanja Alderliesten, Peter A. N. Bosman

1

citations
Task-oriented Document-Grounded Dialog Systems by HLTPR@RWTH for DSTC9 and DSTC10
2023 arXiv (Cornell University) preprint Computer Science Speech and dialogue systems Open access

David Thulke, Nico Daheim, Christian Dugast, Hermann Ney

0

citations