Autocleandeepfood: auto-cleaning and data balancing transfer learning for regional gastronomy food computing حسب Nauman Ullah Gilal (17302714)

"…To address this issue, we present <i>AutoCleanDeepFood</i>, a novel end-to-end food computing framework for regional gastronomy that contains the following components: (i) a fully automated pre-processing pipeline for custom data sets creation related to specific regional gastronomy, (ii) a transfer learning-based training paradigm to filter out noisy labels through loss ranking, incorporating a Russian Roulette probabilistic approach to mitigate data imbalance problems, and (iii) a method for deploying the resulting model on smartphones for real-time inferences. …"

Improved Machine Learning for Multiclass Fault Classification in Industrial Processes حسب Khaled Dhibi (16891524)

Sulfur oxidative coupling of methane process development and its modeling via machine learning حسب Giovanni Scabbia (13751501)

"…The outcomes of the simulated process were used to design a data-driven modeling approach, based on machine learning methods, and to evaluate its interpolation accuracy. …"

On the Use of Deep Learning for Video Classification حسب Atiq ur Rehman (14153391)

Regression estimation for continuous-time functional data processes with missing at random response حسب Mohamed Chaouch (17983846)

Optimal operation of reverse osmosis desalination process with deep reinforcement learning methods حسب Arash Golabi (21841484)

Optimizing malicious website prediction: An advanced XGBoost-based machine learning model حسب Sumaira Hussain (19259669)

Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark حسب Ameema Zainab (16864263)

"…One thousand distribution transformers' real data from Spain for three years are used to demonstrate the performance of the proposed methodology with a trade-off between accuracy and processing time.…"

An Empirical Analysis of NMT-Derived Interlingual Embeddings and Their Use in Parallel Sentence Identification حسب Cristina Espana-Bonet (19720063)

"…</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Journal of Selected Topics in Signal Processing<br>License:<a href="https://creativecommons.org/licenses/by/4.0/" rel="noreferrer" target="_blank"> https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/jstsp.2017.2764273" target="_blank">https://dx.doi.org/10.1109/jstsp.2017.2764273</a></p>…"

Nonlinear analysis of shell structures using image processing and machine learning حسب M.S. Nashed (16392961)

"…The proposed approach can be significantly more efficient than training a machine learning algorithm using the raw numerical data. To evaluate the proposed method, two different structures are assessed where the training data is created using nonlinear finite element analysis. …"

Deep learning-based marine big data fusion for ocean environment monitoring: Towards shape optimization and salient objects detection حسب Sulaiman Khan (12585349)

An efficient approach for textual data classification using deep learning حسب Abdullah Alqahtani (7128143)

"…This paper employs machine and deep learning techniques to classify textual data. Textual data contains much useless information that must be pre-processed. …"

Assessing the risk of vibration-induced fatigue in process pipework using convolutional neural networks حسب Ahmed Mohamed (628889)

"…In contrast, vibration data can be efficiently collected using accelerometers and single-channel data loggers, providing a more feasible solution for initial screening. …"

A Comparative Study of Contemporary Learning Paradigms in Bug Report Priority Detection حسب Eyüp Halit Yilmaz (21400700)

Exploring the potential of onboard energy scavenging subsystems for generating valuable data حسب Raziq Yaqub (16488878)

RDFFrames: knowledge graph access for machine learning tools حسب Aisha Mohamed (5152970)

"…Machine learning tools work on data in tabular format and process it using an imperative programming style, while SPARQL is declarative and has as its basic operation matching graph patterns to RDF triples. …"

What do Neural Machine Translation Models Learn about Morphology? حسب Yonatan Belinkov (18973897)

"…However, little is known about what these models learn about source and target languages during the training process. …"

Self-Supervised Learning Powered by Synthetic Data From Diffusion Models: Application to X-Ray Images حسب Abdullah Hosseini (22466602)

Collaborative Byzantine Resilient Federated Learning حسب A. Gouissem (17541396)

Faux-Data Injection Optimization for Accelerating Data-Driven Discovery of Materials حسب Abdul Wahab Ziaullah (16027076)

"…Among the mechanics of a BO is the use of a machine learning (ML) model that learns about the scope of the problem through data being acquired on the fly. …"