823 citations
- Centre National de la Recherche ScientifiqueFR72 papers
- National Institute for AstrophysicsIT62 papers
- Osservatorio di Astrofisica e Scienza dello Spazio61 papers
- Goddard Space Flight CenterUS54 papers
- University of Maryland, College ParkUS53 papers
- Center for Astrophysics Harvard & SmithsonianUS50 papers
- Max Planck Institute for Extraterrestrial PhysicsDE49 papers
- Agenzia Spaziale ItalianaIT46 papers
- University of BolognaIT45 papers
- Astronomical Observatory of RomeIT43 papers
- Brera Astronomical ObservatoryIT41 papers
- California Institute of TechnologyUS39 papers
8 papers · 2 filters
Crash Severity Risk Modeling Strategies under Data Imbalance
Abdullah Al Mamun, Abyad Enan, Debbie A. Indah +3
This study investigates crash severity risk modeling strategies for work zones involving large vehicles (i.e., trucks, buses, and vans) under crash data imbalance between low-sever…
Time-Series Forecasting in Smart Manufacturing Systems: An Experimental Evaluation of the State-of-the-art Algorithms
Mojtaba A. Farahani, Fadi El Kalach, Austin Harper +3
TSF is growing in various domains including manufacturing. Although numerous TSF algorithms have been developed recently, the validation and evaluation of algorithms hold substanti…
SPINEX_ Symbolic Regression: Similarity-based Symbolic Regression with Explainable Neighbors Exploration
MZ Naser, Ahmed Z Naser
This article introduces a new symbolic regression algorithm based on the SPINEX (Similarity-based Predictions with Explainable Neighbors Exploration) family. This new algorithm (SP…
SPINEX-Clustering: Similarity-based Predictions with Explainable Neighbors Exploration for Clustering Problems
MZ Naser, Ahmed Naser
This paper presents a novel clustering algorithm from the SPINEX (Similarity-based Predictions with Explainable Neighbors Exploration) algorithmic family. The newly proposed cluste…
SPINEX: Similarity-based Predictions with Explainable Neighbors Exploration for Anomaly and Outlier Detection
MZ Naser, Ahmed Z Naser
This paper presents a novel anomaly and outlier detection algorithm from the SPINEX (Similarity-based Predictions with Explainable Neighbors Exploration) family. This algorithm lev…
Advancing Anomaly Detection: Non-Semantic Financial Data Encoding with LLMs
Alexander Bakumenko, Kateřina Hlaváčková-Schindler, Claudia Plant +1
Detecting anomalies in general ledger data is of utmost importance to ensure trustworthiness of financial records. Financial audits increasingly rely on machine learning (ML) algor…