Results 131 to 140 of about 2,566,212 (336)
Preference isolation forest for structure-based anomaly detection
Pattern RecognitionAccepted at Pattern Recognition (2025)
Filippo Leveni +3 more
openaire +2 more sources
Revisiting randomized choices in isolation forests
, 2021 Isolation forest or "iForest" is an intuitive and widely used algorithm for anomaly detection that follows a simple yet effective idea: in a given data distribution, if a threshold (split point) is selected uniformly at random within the range of some variable and data points are divided according to whether they are greater or smaller than this ...
openaire +2 more sources
Advanced Functional Materials, EarlyView.Ferroelectric memcapacitors enable non‐volatile, voltage‐programmable capacitance tuning for adaptive electronics. A TiN/HfZrO/TiN device stack demonstrates more than eight stable capacitance states within a 24 pF memory window in compact 60 ×$\times$ 60 μm2$\umu{\rm m}^{2}$ devices at low operating voltages.
Deepika Yadav +6 more
wiley +1 more source
CADI: Contextual Anomaly Detection using an Isolation-Forest
ACM Symposium on Applied ComputingReconstructing the data inner structure and identifying abnormal points are two major tasks in many data analysis processes. A step beyond the decomposition of a data set as inliers and outliers, that then may be interpreted as anomalies, is to ...
Véronne Yepmo +3 more
semanticscholar +1 more source
Single‐ and Dual‐Atom Configurations in Atomically Dispersed Catalysts for Lithium–Sulfur Batteries
Advanced Functional Materials, EarlyView.Single‐atom and dual‐atom‐based atomically dispersed catalysts (ADCs) effectively address the shuttle effect and sluggish redox kinetics in Li–S batteries. With nearly 100% atomic utilization and tunable coordination environments, ADCs enhance LiPSs adsorption, lower conversion barriers, and accelerate sulfur redox reactions.
Haoyang Xu +4 more
wiley +1 more source
Distance approximation using Isolation Forests
, 2019 This work briefly explores the possibility of approximating spatial distance (alternatively, similarity) between data points using the Isolation Forest method envisioned for outlier detection. The logic is similar to that of isolation: the more similar or closer two points are, the more random splits it will take to separate them.
openaire +2 more sources
Advanced Functional Materials, EarlyView.Auxeticity‑by‑Assembly converts freeform photovoltaics from cut‑defined layouts to assembly‑defined systems. Standardized interlocking units generate negative‑Poisson‑ratio, reconfigurable architectures, while hinge regions are wired by selectively activatable AgNW–GO@EGaIn composite interconnects and a folding‑enabled interconnector layer. A decimeter‑
Seok Joon Hwang +15 more
wiley +1 more source
Outlier Ensemble Based on Isolation Forest: The CBOEA Approach
Foundations of Computing and Decision SciencesOutliers are instances that deviate from the norm. In certain fields, their detection is crucial since they are often indicators of interesting events such as system faults and deliberate human actions.
Chaabouni Ali, Boujelben Mohamed Ayman
doaj +1 more source
Nanodiamond Quantum Sensors for Probing Free Radical Biology
Advanced Functional Materials, EarlyView.Free radicals play key roles in cellular signaling and disease but remain difficult to measure in living systems. Nanodiamonds (NDs) with nitrogen‐vacancy (NV) centers enable quantum sensing of local magnetic noise via T₁ relaxometry, providing nondestructive radical detection in living cells.
Qi Lu, Yingke Wu, Tanja Weil
wiley +1 more source
Hybrid MCDM–Isolation Forest approach for spatiotemporal landslide mapping
Open GeosciencesLandslide assessment requires static factors defining baseline conditions and dynamic factors acting as triggers. However, integrating various factors into susceptibility assessments increases uncertainty in multi-criteria decision making (MCDM ...
Jiang Bingqi +4 more
doaj +1 more source