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.

168,695 papers · 148 categories

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6 results for “PLI”

A study of resting-state EEG biomarkers for depression recognitioneess.SP

Study finds PLI functional connectivity feature superior for depression recognition.

problem Effective detection of depression remains a public health challenge.

method Resting state EEG data collected from MDD and normal controls; various feature types and selection methods evaluated.

result PLI functional connectivity feature superior to linear and nonlinear features; highest classification accuracy 82.31%.

depression EEG resting state functional connectivity PLI

2020-02-23abs ↗pdf ↗

Projective Latent Interventions for Understanding and Fine-tuning Classifierscs.LG

PLIs improve classifier performance by fine-tuning latent representations.

problem Difficult interpretation of high-dimensional latent representations in neural networks.

method Back-propagation of manual changes to low-dimensional embeddings using t-distributed stochastic neighbourhood embeddings.

result Manual separation of class clusters in latent space enhances classifier performance.

neural networks latent representations classifier performance t-SNE medical applications

2020-06-23abs ↗pdf ↗

Decoding the Protein-ligand Interactions Using Parallel Graph Neural Networksstat.ML

Novel parallel GNN predicts protein-ligand interactions with high accuracy.

problem Accurate prediction of protein-ligand interactions for drug design.

method Parallel Graph Neural Networks (GNN) integrating 3D structural data.

result GNN achieves high accuracy in predicting binary interactions and activity.

Graph Neural Networks Protein-Ligand Interactions 3D Structural Data Drug Design Interpretability

2021-11-30abs ↗pdf ↗

Pseudo-Likelihood Inferencecs.LG

Pseudo-Likelihood Inference improves ABC for high-dimensional Bayesian inference.

problem Intractable likelihood in Bayesian system identification.

method PLI combines neural approximation with integral probability metrics and adaptive bandwidth.

result PLI outperforms SNPE on challenging tasks, especially with more data.

Simulation-Based Inference Approximate Bayesian Computation Sequential Neural Posterior Estimation Integral Probability Metrics Neural Approximation

2023-11-28abs ↗pdf ↗

Outlier Detection by Consistent Data Selection Methodcs.LG

Often the challenge associated with tasks like fraud and spam detection[1] is the lack of all likely patterns needed to train suitable supervised learning models. In order to overcome this limitation, such tasks are attempted as outlier or anomaly detection tasks. We also hypothesize that out- liers have behavioral pat…

2017-12-12abs ↗pdf ↗

SCC: Automatic Classification of Code Snippetscs.SE

Determining the programming language of a source code file has been considered in the research community; it has been shown that Machine Learning (ML) and Natural Language Processing (NLP) algorithms can be effective in identifying the programming language of source code files. However, determining the programming lang…

2018-09-21abs ↗pdf ↗