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Papers matching “computational cost” 90

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Validating a low-cost, open-source, locally manufactured workstation and computational pipeline for automated histopathology evaluation using deep learning
2023 bioRxiv (Cold Spring Harbor Laboratory) preprint Computer Science AI in cancer detection Open access

Divya Choudhury, James M. Dolezal, Emma Dyer, Sara E. Kochanny, Siddi Ramesh, Frederick Matthew Howard, +6 more

1

citations
Thermodynamic Perspectives on Computational Complexity: Exploring the P vs. NP Problem
2023 SSRN Electronic Journal preprint Computer Science Complexity and Algorithms in Graphs Open access

Florian Neukart

2

citations
Entanglement cost of bipartite quantum channel discrimination under positive partial transpose operations
2026 arXiv (Cornell University) preprint Computer Science Quantum Information and Cryptography Open access

Chengkai Zhu, Shuyu He, Gereon Koßmann, Xin Wang

0

citations
Zero-Cost, Arrow-Enabled Data Interface for Apache Spark
2021 arXiv (Cornell University) preprint Computer Science Advanced Database Systems and Queries Open access

Sebastiaan Alvarez Rodriguez, Jayjeet Chakraborty, Aaron Chu, Ivo Jimenez, Jeff LeFevre, Carlos Maltzahn, +1 more

1

citations
LHU-Net: a Lean Hybrid U-Net for Cost-efficient, High-performance Volumetric Segmentation
2024 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof

1

citations
Learning From Simplicial Data Based on Random Walks and 1D Convolutions
2024 arXiv (Cornell University) preprint Computer Science Topological and Geometric Data Analysis Open access

Florian Frantzen, Michael T. Schaub

0

citations
Performance of computer vision algorithms for fine-grained classification using crowdsourced insect images
2024 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Rita Pucci, Vincent J. Kalkman, Dan Stowell

0

citations
Elimination Techniques for Algorithmic Differentiation Revisited
2023 arXiv (Cornell University) preprint Computer Science Numerical Methods and Algorithms Open access

Uwe Naumann, Erik Schneidereit, Simon Maertens, Markus Towara

0

citations
Quantum-Machine-Assisted Drug Discovery: Survey and Perspective
2024 Preprints.org preprint Computer Science Computational Drug Discovery Methods Open access

Yidong Zhou, Gopal Karemore, Weikang Li, Zhiding Liang, Marinka Žitnik, Frederic T. Chong, +2 more

7

citations
QligFEP-2: an automated workflow for small molecule free energy calculations in Q
2025 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

David Alencar Araripe, Alejandro Díaz‐Holguín, Antti Poso, Gerard J. P. van Westen, Johan Åqvist, Hugo Gutiérrez‐de‐Terán, +1 more

0

citations
QligFEP-2: an automated workflow for small molecule free energy calculations in Q
2025 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

David Alencar Araripe, Alejandro Díaz‐Holguín, Antti Poso, Gerard J. P. van Westen, Johan Åqvist, Hugo Gutiérrez‐de‐Terán, +1 more

0

citations
Doing More with Less: Accurate and Scalable Ligand Free Energy Calculations by Focusing on the Binding Site
2025 ChemRxiv preprint Computer Science Computational Drug Discovery Methods Open access

David Alencar Araripe, Alejandro Díaz‐Holguín, Antti Poso, Gerard J. P. van Westen, Johan Åqvist, Hugo Gutiérrez‐de‐Terán, +1 more

0

citations
Transfer Learning of Surrogate Models via Domain Affine Transformation Across Synthetic and Real-World Benchmarks
2025 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Shuaiqun Pan, Diederick Vermetten, Manuel López‐Ibáñez, Thomas Bäck, Hao Wang

2

citations
Efficiently Approximating Attention Is Hard
2026 arXiv (Cornell University) preprint Computer Science Complexity and Algorithms in Graphs Open access

Lukas Haverbeck, Carmen Amo Alonso, Andrés Felipe Posada-Moreno, Sebastian Trimpe, Marco Pavone

0

citations
Document-Level Language Models for Machine Translation
2023 arXiv (Cornell University) preprint Computer Science Natural Language Processing Techniques Open access

Frithjof Petrick, Christian Herold, Pavel Petrushkov, Shahram Khadivi, Hermann Ney

0

citations
LEAN: graph-based pruning for convolutional neural networks by extracting longest chains
2020 arXiv (Cornell University) preprint Computer Science Advanced Neural Network Applications Open access

Richard Schoonhoven, Allard A. Hendriksen, Daniël M. Pelt, Kees Joost Batenburg

0

citations
SLOPE: Search with Learned Optimal Pruning-based Expansion
2024 arXiv (Cornell University) preprint Computer Science Robotic Path Planning Algorithms Open access

Davor Bokan, Zlatan Ajanović, Bakir Lačević

0

citations
Stitching for Neuroevolution: Recombining Deep Neural Networks without Breaking Them
2024 arXiv (Cornell University) preprint Computer Science Evolutionary Algorithms and Applications Open access

Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman

0

citations
Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random Selection
2023 arXiv (Cornell University) preprint Computer Science Information Retrieval and Search Behavior Open access

Sophia Althammer, Guido Zuccon, Sebastian Hofstätter, Suzan Verberne, Allan Hanbury

0

citations
When AI Bends Metal: AI-Assisted Optimization of Design Parameters in Sheet Metal Forming
2025 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

Ahmad Tarraf, Koutaiba El Rifai Kassem-Manthey, Philipp Martin, Lukas Moj, Semih Burak, Christian Terboven, +1 more

1

citations
Uncovering Selective State Space Model's Capabilities in Lifelong Sequential Recommendation
2024 arXiv (Cornell University) preprint Computer Science Recommender Systems and Techniques Open access

Ji-yuan YANG, Yuanzi Li, Jingyu Zhao, Hanbing Wang, Muyang Ma, Jun Ma, +5 more

2

citations
The Complexity of Graph Exploration Games
2023 arXiv (Cornell University) preprint Computer Science Optimization and Search Problems Open access

Janosch Fuchs, Christoph Grüne, Tom Janßen

1

citations
Convolutional neural networks for quantitative smartphone video nystagmography: ConVNG
2022 medRxiv preprint Computer Science Gaze Tracking and Assistive Technology Open access

Maximilian Uwe Friedrich, Erich Schneider, Miriam Buerklein, Johannes Taeger, Johannes Hartig, Jens Volkmann, +2 more

0

citations
On the Complexity of Recoverable Robust Optimization in the Polynomial Hierarchy
2024 arXiv (Cornell University) preprint Computer Science Complexity and Algorithms in Graphs Open access

Christoph Grüne, Lasse Wulf

0

citations
A Faster Parametric Search for the Integral Quickest Transshipment Problem
2025 arXiv (Cornell University) preprint Computer Science Complexity and Algorithms in Graphs Open access

Mariia Anapolska, Dario van den Boom, Christina Büsing, Timo Gersing

0

citations