Results 61 to 70 of about 7,740,063 (200)

Fairness-aware recommendation with meta learning

Scientific Reports
Fairness has become a critical value online, and the latest studies consider it in many problems. In recommender systems, fairness is important since the visibility of items is controlled by systems.
Hyeji Oh, Chulyun Kim
doaj   +1 more source

Conditional Temporal Aggregation for Time Series Forecasting Using Feature-Based Meta-Learning

Algorithms, 2023
We present a machine learning approach for applying (multiple) temporal aggregation in time series forecasting settings. The method utilizes a classification model that can be used to either select the most appropriate temporal aggregation level for ...
Anastasios Kaltsounis, Evangelos Spiliotis, Vassilios Assimakopoulos   +2 more
doaj   +1 more source

An innovative approach based on meta-learning for real-time modal fault diagnosis with small sample learning

Frontiers in Physics, 2023
The actual multimodal process data usually exhibit non-linear time correlation and non-Gaussian distribution accompanied by new modes. Existing fault diagnosis methods have difficulty adapting to the complex nature of new modalities and are unable to ...
Tongfei Lei, Jiabei Hu, Saleem Riaz
doaj   +1 more source

Meta-Learning: A Survey

CoRR, 2018
Meta-learning, or learning to learn, is the science of systematically observing how different machine learning approaches perform on a wide range of learning tasks, and then learning from this experience, or meta-data, to learn new tasks much faster than otherwise possible.
openaire   +3 more sources

Gradient-Oriented Prioritization in Meta-Learning for Enhanced Few-Shot Fault Diagnosis in Industrial Systems

Applied Sciences, 2023
In this paper, we propose the gradient-oriented prioritization meta-learning (GOPML) algorithm, a new approach for few-shot fault diagnosis in industrial systems.
Dexin Sun, Yunsheng Fan, Guofeng Wang
doaj   +1 more source

Compressive Meta-Learning

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2
Extended version of a paper accepted at KDD ...
Daniel Mas Montserrat, David Bonet, Maria Perera, Xavier Giró-i-Nieto, Alexander G. Ioannidis   +4 more
openaire   +4 more sources

RANCANG BANGUN SISTEM INFORMASI AKADEMIK POLITEKNIK META INDUSTRI [PDF]

, 2018
Politeknik Meta Industri adalah salah satu lembaga pendidikan tinggi diploma tiga. Saat ini sudah ada SIAKAD di Politeknik Meta Industri, tetapi yang menjadi masalah adalah operator takut untuk menggunakan kembali SIAKAD tersebut. Hal tersebut disebabkan
Gamaliel, Fritz, Fritz Gamaliel
core   +1 more source

I-AID: Identifying Actionable Information From Disaster-Related Tweets

IEEE Access, 2021
Social media plays a significant role in disaster management by providing valuable data about affected people, donations, and help requests. Recent studies highlight the need to filter information on social media into fine-grained content labels. However,
Hamada M. Zahera, Rricha Jalota, Mohamed Ahmed Sherif, Axel-Cyrille Ngonga Ngomo   +3 more
doaj   +1 more source

Self-Supervision and Self-Distillation with Multilayer Feature Contrast for Supervision Collapse in Few-Shot Remote Sensing Scene Classification

Remote Sensing, 2022
Although the means of catching remote sensing images are becoming more effective and more abundant, the samples that can be collected in some specific environments can be quite scarce.
Haonan Zhou, Xiaoping Du, Sen Li
doaj   +1 more source

Meta-Learning for Hierarchical Classification and Applications in Bioinformatics [PDF]

, 2018
Hierarchical classification is a special type of classification task where the class labels are organised into a hierarchy, with more generic class labels being ancestors of more specific ones.
Fabris, Fabio
core