The paper proposes using modified Complementary Cumulative Distribution Function (mCCDF) plots to visualize and communicate results of cumulative-link ordinal regression models for ordinal data.

The paper provides a formal statistical and conceptual framework for defining and measuring 'pairwise reference alignment,' which quantifies how well a model's scoring function agrees with a given ref…

This paper presents methods for ranking and unranking permutations avoiding a pattern of length three in lexicographic or colexicographic order.

The paper introduces a higher-order network framework to compare observed and simulated human mobility data, demonstrating that while synthetic data is promising, current simulation models have specif…

The paper addresses limitations in the Linear Ordering Problem (LOP) by introducing a novel benchmark suite derived from current economic data and an algorithmic scheme to generate diverse, high-quali…

The paper demonstrates that Transformers trained on local comparisons implicitly learn a global, one-dimensional ordinal structure, mirroring the human ability to perform transitive inference.

This paper evaluates and compares OvA and OvR classification strategies for AI-based waste sorting solutions in German municipalities, focusing on the city of Goslar.

trasgoDP is an open-source Python framework for releasing tabular and location data under local differential privacy and geo-indistinguishability guarantees.

The paper establishes bijections between tree records, girth of connected endofunctions, and genesis sequences, deriving generating functions for tree and forest record numbers using Cayley's tree fun…

This paper proposes a taxonomy-guided evaluation protocol for temporal fidelity in synthetic sequential tabular data, measuring timestamp validity, cross-sectional structure, within-entity dynamics, a…

This paper presents Vivace, a serverless system for exact temporal OLAP over interval histories, which addresses the issues of incomplete data and incorrect answers in serverless functions.

The paper introduces a reliability-oriented framework, IndicBERT-HPA, for multilingual orthopedic decision support from clinical narratives, achieving high performance and significantly improving reli…

The paper provides tight bounds for the OR-rank and an upper bound for the SUM-rank of the unique disjointness matrix.

This paper studies ranking and aggregation under Kendall tau distance with matroid or flag matroid constraints on prefixes.

This paper synthesizes over 150 scattered studies and reports to provide the first comprehensive primer on post-training reasoning data, organizing the field around data objects, utility, construction…

This paper investigates the necessity of interaction for order-optimal 1-bit mean estimation in nonparametric finite-moment classes.

This paper analyzes data-access cost in a memory hierarchy and shows it scales with the fourth root of data size, predicting scalability.