Results 81 to 90 of about 245,586 (306)

BenchBench: Benchmarking Automated Benchmark Generation

CoRR
Benchmarks are the de facto standard for tracking progress in large language models (LLMs), yet static test sets can rapidly saturate, become vulnerable to contamination, and are costly to refresh. Scalable evaluation of open-ended items often relies on LLM judges, introducing additional sources of bias and prompt sensitivity.
Yandan Zheng, Haoran Luo 0001, Zhenghong Lin, Wenjin Liu, Luu Anh Tuan   +4 more
openaire   +2 more sources

Benchmarking for Steganography [PDF]

, 2008
With the increasing number of new steganographic algorithms as well as methods for detecting them, the issue of comparing security of steganographic schemes in a fair manner is of the most importance. A fair benchmark for steganography should only be dependent on the model chosen to represent cover and stego objects.
Tomás Pevný, Jessica J. Fridrich
openaire   +2 more sources

Detailed Evaluation of Data Analysis Tools for Subtyping of Bacterial Isolates Based on Whole Genome Sequencing: Neisseria meningitidis as a Proof of Concept

Frontiers in Microbiology, 2019
Whole genome sequencing is increasingly recognized as the most informative approach for characterization of bacterial isolates. Success of the routine use of this technology in public health laboratories depends on the availability of well-characterized ...
Assia Saltykova, Assia Saltykova, Wesley Mattheus, Sophie Bertrand, Nancy H. C. Roosens, Kathleen Marchal, Kathleen Marchal, Sigrid C. J. De Keersmaecker   +7 more
doaj   +1 more source

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source

Examples Of Benchmarking From Strategic Management Tools In Akhism

Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 2017
Strategic management has been in the limelight for businesses in recent years. Majority of businesses set sight on strategic management, gaining competitive capacity, searching to increase their successes. In parallel with these advances, numerous tools
Ali Erbaşı, Süleyman Ersöz
doaj  

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Benchmark Data Repositories for Better Benchmarking

Advances in Neural Information Processing Systems 37
In machine learning research, it is common to evaluate algorithms via their performance on standard benchmark datasets. While a growing body of work establishes guidelines for -- and levies criticisms at -- data and benchmarking practices in machine learning, comparatively less attention has been paid to the data repositories where these datasets are ...
Rachel Longjohn, Markelle Kelly, Sameer Singh 0001, Padhraic Smyth   +3 more
openaire   +3 more sources

OPTIMIZATIONS OF DEEP LEARNING OBJECTS DETECTION MODELS FOR INFERENCE ACCELERATION ON GENERAL-PURPOSE AND HARDWARE-ACCELERATED SINGLE-BOARD PLATFORMS

Електроніка та інформаційні технології
Background. Description and preparation of modern approaches for deep learning object detection models are provided. Deep learning frameworks for model training and inference, such as TensorFlow and TensorFlow Lite, are used as bases.
Dmytro Myroniuk, Bohdan Blahitko
doaj   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

A Dataset and Experimental Evaluation of a Parallel Conflict Detection Solution for Model-Based Diagnosis

Data
This article presents a dataset and experimental evaluation of a parallelized variant of Junker’s QuickXPlain algorithm, designed to efficiently compute minimal conflict sets in constraint-based diagnosis tasks.
Jessica Janina Cabezas-Quinto, Cristian Vidal-Silva, Jorge Serrano-Malebrán, Nicolás Márquez   +3 more
doaj   +1 more source