5 citations · 5 across the 4 of their papers we have counts for
4 papers
Benchmarking Time Series Forecasting Models: From Statistical Techniques to Foundation Models in Real-World Applications
Issar Arab, Rodrigo Benitez
Time series forecasting is essential for operational intelligence in the hospitality industry, and particularly challenging in large-scale, distributed systems. This study evaluate…
EPSAPG: A Pipeline Combining MMseqs2 and PSI-BLAST to Quickly Generate Extensive Protein Sequence Alignment Profiles
Issar Arab
Numerous machine learning (ML) models employed in protein function and structure prediction depend on evolutionary information, which is captured through multiple-sequence alignmen…
PEvoLM: Protein Sequence Evolutionary Information Language Model
Issar Arab
With the exponential increase of the protein sequence databases over time, multiple-sequence alignment (MSA) methods, like PSI-BLAST, perform exhaustive and time-consuming database…
ToxTree: descriptor-based machine learning models for both hERG and Nav1.5 cardiotoxicity liability predictions
Issar Arab, Khaled Barakat
Drug-mediated blockade of the voltage-gated potassium channel(hERG) and the voltage-gated sodium channel (Nav1.5) can lead to severe cardiovascular complications. This rising conce…