:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Monemizadeh, Vahideh, Kiani, Kourosh
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2501.17787
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Integrating a Heterogeneous Graph with Entity-aware Self-attention using Relative Position Labels for Reading Comprehension Model
by: Foolad, Shima, et al.
Published: (2023)

Recent Advances in Multi-Choice Machine Reading Comprehension: A Survey on Methods and Datasets
by: Foolad, Shima, et al.
Published: (2024)

siForest: Detecting Network Anomalies with Set-Structured Isolation Forest
by: Djidjev, Christie
Published: (2024)

Weighted Isolation and Random Cut Forest Algorithms for Anomaly Detection
by: Yeom, Sijin, et al.
Published: (2022)

Preference Isolation Forest for Structure-based Anomaly Detection
by: Leveni, Filippo, et al.
Published: (2025)

Function Based Isolation Forest (FuBIF): A Unifying Framework for Interpretable Isolation-Based Anomaly Detection
by: Arcudi, Alessio, et al.
Published: (2025)

Federated Isolation Forest for Efficient Anomaly Detection on Edge IoT Systems
by: Vasiljevic, Pavle, et al.
Published: (2025)

Isolation Forest in Novelty Detection Scenario
by: Ulrich, Adam, et al.
Published: (2025)

When LLMs Learn to Be Consistently Wrong: A Multi-Model Study of Linear Representations of Synthetic Deception
by: Zolfaghari, Vahideh
Published: (2026)

Explainable Unsupervised Anomaly Detection with Random Forest
by: Harvey, Joshua S., et al.
Published: (2025)

Signature Isolation Forest
by: Campi, Marta, et al.
Published: (2024)

Isolation-based Spherical Ensemble Representations for Anomaly Detection
by: Cao, Yang, et al.
Published: (2025)

Anomaly Detection Based on Isolation Mechanisms: A Survey
by: Cao, Yang, et al.
Published: (2024)

Random Similarity Isolation Forests
by: Chwilczyński, Sebastian, et al.
Published: (2025)

Online Isolation Forest
by: Leveni, Filippo, et al.
Published: (2025)

A Dynamic Algorithm for Weighted Submodular Cover Problem
by: Banihashem, Kiarash, et al.
Published: (2024)

FedBWO: Enhancing Communication Efficiency in Federated Learning
by: Hayyolalam, Vahideh, et al.
Published: (2025)

A Mallows-like Criterion for Anomaly Detection with Random Forest Implementation
by: Zhao, Gaoxiang, et al.
Published: (2024)

Global Outlier Detection in a Federated Learning Setting with Isolation Forest
by: Malpetti, Daniele, et al.
Published: (2024)

Extended Isolation Forest with feature sensitivities
by: Donhauzer, Illia
Published: (2026)

An Unsupervised Anomaly Detection in Electricity Consumption Using Reinforcement Learning and Time Series Forest Based Framework
by: Ghanim, Jihan, et al.
Published: (2024)

Theoretical Investigation on Inductive Bias of Isolation Forest
by: Zheng, Qin-Cheng, et al.
Published: (2025)

TimeRadar: A Domain-Rotatable Foundation Model for Time Series Anomaly Detection
by: He, Hui, et al.
Published: (2026)

Enhancing Interpretability and Generalizability in Extended Isolation Forests
by: Arcudi, Alessio, et al.
Published: (2023)

Enhanced Anomaly Detection in Automotive Systems Using SAAD: Statistical Aggregated Anomaly Detection
by: Goina, Dacian, et al.
Published: (2024)

A Communication-Theoretic Framework for LLM Agents: Cost-Aware Adaptive Reliability
by: Omidvar, Hamed, et al.
Published: (2026)

SilIF: Silhouette-Augmented Isolation Forest for Unsupervised Transaction Fraud Detection
by: Gopalakrishnan, Venkatakrishnan
Published: (2026)

Exploring the Relationships Between Physiological Signals During Automated Fatigue Detection
by: Kakhi, Kourosh, et al.
Published: (2025)

Unitary convolutions for learning on graphs and groups
by: Kiani, Bobak T., et al.
Published: (2024)

Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest
by: Ceschin, Matteo, et al.
Published: (2025)

Kernel-Based Anomaly Detection Using Generalized Hyperbolic Processes
by: Bourigault, Pauline, et al.
Published: (2025)

T- Hop: A framework for studying the importance path information in molecular graphs for chemical property prediction
by: Ibraheem, Abdulrahman, et al.
Published: (2024)

Constraining Anomaly Detection with Anomaly-Free Regions
by: Toller, Maximilian, et al.
Published: (2024)

Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications
by: Raza, Ali, et al.
Published: (2022)

Robust Spatiotemporally Contiguous Anomaly Detection Using Tensor Decomposition
by: Mondal, Rachita, et al.
Published: (2025)

Boosting Anomaly Detection Using Unsupervised Diverse Test-Time Augmentation
by: Cohen, Seffi, et al.
Published: (2021)

DiabML: AI-assisted diabetes diagnosis method with meta-heuristic-based feature selection
by: Hayyolalam, Vahideh, et al.
Published: (2024)

Hardness of Learning Neural Networks under the Manifold Hypothesis
by: Kiani, Bobak T., et al.
Published: (2024)

Word Sense Disambiguation in Persian: Can AI Finally Get It Right?
by: Ayyoubzadeh, Seyed Moein, et al.
Published: (2024)

A Novel Nearest Neighbors Algorithm Based on Power Muirhead Mean
by: Shahnazari, Kourosh, et al.
Published: (2022)