On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,657 papers · 148 categories

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4 results for “problem-oriented”

Apollonius problem in terms of oriented circlesmath.DG

Solves Apollonius' problem using oriented circles and inversive geometry.

problem Constructing a circle tangent to three given circles.

method Using oriented circles and inversive invariants, reversing each given circle to find solutions.

result The problem has 0, 1, or 2 solutions, depending on the configuration of given circles.

Apollonius problem oriented circles inversive geometry tangency reversing circles

2026-01-09abs ↗pdf ↗

Knowledge Base Completion for Constructing Problem-Oriented Medical Recordscs.LG

Machine learning constructs problem-based medical records from electronic health records.

problem Difficulty in finding relevant medical information for clinical questions.

method Knowledge base completion using machine learning on electronic health records.

result Automatic construction of problem-based groupings of medications, procedures, and lab tests.

medical records problem-oriented knowledge base completion machine learning electronic health records

2020-04-27abs ↗pdf ↗

Towards Patient Record Summarization Through Joint Phenotype Learning in HIV Patientsstat.AP

Model identifies key problems in HIV patients' records.

problem Complex and time-consuming task of identifying patient problems from electronic health records.

method Unsupervised phenotyping approach that jointly learns phenotypes from structured and unstructured data.

result Learned phenotypes and their relatedness are clinically valid and surpass existing methods.

HIV patients phenotyping problem summarization longitudinal data variational inference

2020-03-09abs ↗pdf ↗

A Problem-Oriented Taxonomy of Evaluation Metrics for Time Series Anomaly Detectioncs.AI

Study categorizes time series anomaly detection metrics based on evaluation challenges.

problem Challenges in evaluating time series anomaly detection due to diverse application objectives and metric assumptions.

method Problem-oriented framework categorizing metrics into six dimensions based on evaluation challenges.

result Quantifies each metric's discriminative ability and reveals limitations of widely used metrics.

time series anomaly detection evaluation metrics evaluation challenges IoT applications anomaly detection

2025-11-24abs ↗pdf ↗