This repository provides the open-science replication package, experimental benchmarks, and decision-support prototype for the empirical research study "Empirical Evaluation of Recurrent Neural Networks for Agile Effort Estimation: A Realistic Benchmark and Decision-Support Prototype" . The package contains: (i) deterministic partition definitions mapping all 23,313 issues across 16 Deep-SE projects into chronological splits; (ii) per-issue test predictions across naive heuristics, statistical baselines, recurrent models, and factorial runs (N = 4,671); (iii) automated reproduction scripts generating all manuscript tables and non-parametric s
Lopez de Jesus, Cesar, Olmos Sanchez, Karla Miroslava
A calibrated multi-scale random-matrix-theory readout for arbitrary time series. ARS embeds a sequence into a chirp signal, runs a GPU-parallel bank of Farey-rational phase-locked loops against it, and extracts passage-time spacings that are unfolded and compared against random matrix theory predictions (Wigner GOE / GUE / Poisson). Validated against the Riemann ζ zeros and the Katz–Sarnak family symmetry of elliptic curve L-functions. The repository also contains llmspec/ , Shapes of LLM weights over training : a pre-registered study of language-model weight spectra across training (Pythia 70M–1.4B with PolyPythias seeds, OLMo 2 1B), with fi
This repository contains code and trained models for the detection of coherent eddies in the Gulf of Mexico using machine learning techniques. It includes scripts for evaluating and visualizing results based on satellite-derived ocean surface data.
