Ferroelectric tunnel junction devices based on epitaxial undoped ferroelectric HfO2 films demonstrate stable switching endurance of over 106 switching cycles, low write voltages of ±3 V, 16 measured resistance states, and neuromorphic capability.
Markus Hellenbrand +13 more
wiley +1 more source
Performance analysis of data resampling on class imbalance and classification techniques on multi-omics data for cancer classification. [PDF]
Yang Y, Mirzaei G.
europepmc +1 more source
Imbalance: A comprehensive multi-interface Julia toolbox to address class imbalance
Essam Wisam, Anthony D. Blaom
openaire +1 more source
Titanium Suboxides Responsible for Electronic Anomaly Near Room Temperature in the Ti3C2Tx MXene
Our multi‐technique study reveals that the near‐room‐temperature anomaly in Ti3C2Tx MXene is linked to titanium suboxide nanodomains, including Ti3O5, embedded within the MXene host. Their temperature‐driven transformation provides an alternative explanation to solvent‐ and swelling‐based models and offers new insight into the thermally activated ...
Bence G. Márkus +8 more
wiley +1 more source
A machine learning approach using conditional normalizing flow to address extreme class imbalance problems in personal health records. [PDF]
Kim Y +9 more
europepmc +1 more source
Glissile Interphase Boundaries Enable Collective Phase Switching in Epitaxial Polar Oxides
A triple point is identified in the phase diagram of low‐symmetry epitaxial BiFeO3 thin film along with an extended regime of phase competition associated with a flattened energy landscape. The electromechanical response is shown to be governed by correlated interphase‐boundary motion, including scale‐free avalanche dynamics characteristic of systems ...
Mohammad Moein Seyfouri +11 more
wiley +1 more source
An Artificial Intelligence-Based Tool for Enhancing Pectoral Muscle Segmentation in Mammograms: Addressing Class Imbalance and Validation Challenges in Automated Breast Cancer Diagnosis. [PDF]
Cortes-Rojas FD +3 more
europepmc +1 more source
The Impact of the SMOTE Method on Machine Learning and Ensemble Learning Performance Results in Addressing Class Imbalance in Data Used for Predicting Total Testosterone Deficiency in Type 2 Diabetes Patients. [PDF]
Kivrak M, Avci U, Uzun H, Ardic C.
europepmc +1 more source
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Multi-Imbalance: An open-source software for multi-class imbalance learning
Knowledge-Based Systems, 2019Abstract Imbalance classification is one of the most challenging research problems in machine learning. Techniques for two-class imbalance classification are relatively mature nowadays, yet multi-class imbalance learning is still an open problem. Moreover, the community lacks a suitable software tool that can integrate the major works in the field ...
Hamido Fujita +2 more
exaly +2 more sources

