most citedanimal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics

5 citations

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5 papers

stat.ME2026

Estimating Item Difficulty with Large Language Models as Experts

Diana Kolesnikova, Kirill Fedyanin, Abe D. Hofman +2

Accurate estimates of item difficulty are essential for valid assessment and effective adaptive learning. However, for newly created tasks, response data are typically unavailable.…

cs.SD2026★ 5 cited

animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics

Julian C. Schäfer-Zimmermann, Vlad Demartsev, Baptiste Averly +9

Bioacoustic research, vital for understanding animal behavior, conservation, and ecology, faces a monumental challenge: analyzing vast datasets where animal vocalizations are rare.…

cs.LG2026

Integrating SAINT with Tree-Based Models: A Case Study in Employee Attrition Prediction

Adil Derrazi, Javad Pourmostafa Roshan Sharami

Employee attrition presents a major challenge for organizations, increasing costs and reducing productivity. Predicting attrition accurately enables proactive retention strategies,…

math.OC2026★ 1 cited

Distributionally robust monopoly pricing: Switching from low to high prices in volatile markets

Tim S. G. van Eck, Pieter Kleer, Johan S. H. van Leeuwaarden

Problem definition: Traditional monopoly pricing assumes sellers have full information about consumer valuations. We consider monopoly pricing under limited information, where a se…

cs.CL2026

Toward domain-specific machine translation and quality estimation systems

Javad Pourmostafa Roshan Sharami

Machine Translation (MT) and Quality Estimation (QE) perform well in general domains but degrade under domain mismatch. This dissertation studies how to adapt MT and QE systems to…