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Automated classification of animal sounds is a prerequisite for large-scale monitoring of biodiversity. Convolutional Neural Networks (CNNs) are among the most promising algorithms but they are slow, often achieve poor classification in the…

The selection of features is an essential data preprocessing stage in data mining. The core principle of feature selection seems to be to pick a subset of possible features by excluding features with almost no predictive information as well…

Machine Learning · Computer Science 2020-08-11 Mehrdad Rostami , Kamal Berahmand , Saman Forouzandeh

We propose \emph{PRISM} (\textbf{Pseudorandom Residue-based Indexed Scheduling Method}), a deterministic topology-discovery framework for single-hop wireless networks with bounded interference. Each receiver has at most \(L\) interfering…

Networking and Internet Architecture · Computer Science 2026-04-23 Tolunay Seyfi , Erfan Khadem , Fatemeh Afghah

Despite the remarkable recent progress, person re-identification (Re-ID) approaches are still suffering from the failure cases where the discriminative body parts are missing. To mitigate such cases, we propose a simple yet effective…

Computer Vision and Pattern Recognition · Computer Science 2018-11-13 Yang Fu , Yunchao Wei , Yuqian Zhou , Honghui Shi , Gao Huang , Xinchao Wang , Zhiqiang Yao , Thomas Huang

Objective: SNP heritability estimates vary substantially across estimation strategies, yet the downstream consequences for polygenic risk score (PRS) construction remain poorly characterised. We systematically benchmarked heritability…

Genomics · Quantitative Biology 2026-04-06 Muhammad Muneeb , David B. Ascher

Humans have $23$ pairs of homologous chromosomes. The homologous pairs are almost identical pairs of chromosomes. For the most part, differences in homologous chromosome occur at certain documented positions called single nucleotide…

Information Theory · Computer Science 2015-02-09 Govinda M. Kamath , Eren Şaşoğlu , David Tse

This paper presents a comprehensive study to efficiently build named entity recognition (NER) systems when a small number of in-domain labeled data is available. Based upon recent Transformer-based self-supervised pre-trained language…

Computation and Language · Computer Science 2021-01-01 Jiaxin Huang , Chunyuan Li , Krishan Subudhi , Damien Jose , Shobana Balakrishnan , Weizhu Chen , Baolin Peng , Jianfeng Gao , Jiawei Han

The first step in evaluating a potential diagnostic biomarker is to examine the variation in its values across different disease groups. In a three-class disease setting, the volume under the receiver operating characteristic surface and…

Methodology · Statistics 2025-04-18 Zhaoxi Zhang , Vanda Inacio , Miguel de Carvalho

Markov blanket feature selection, while theoretically optimal, is generally challenging to implement. This is due to the shortcomings of existing approaches to conditional independence (CI) testing, which tend to struggle either with the…

Machine Learning · Computer Science 2020-06-23 Alan Yang , AmirEmad Ghassami , Maxim Raginsky , Negar Kiyavash , Elyse Rosenbaum

Analysis of genomic segments shared identical-by-descent (IBD) between individuals is fundamental to many genetic applications, from demographic inference to estimating the heritability of diseases, but IBD detection accuracy in…

Populations and Evolution · Quantitative Biology 2014-02-11 Eric Y. Durand , Nicholas Eriksson , Cory Y. McLean

The Connectivity Map (CMap) is a large publicly available database of cellular transcriptomic responses to chemical and genetic perturbations built using a standardized acquisition protocol known as the L1000 technique. Databases such as…

Quantitative Methods · Quantitative Biology 2024-05-01 Steven Shave , Richard Kasprowicz , Abdullah M. Athar , Denise Vlachou , Neil O. Carragher , Cuong Q. Nguyen

In this paper, we proposed a novel Probabilistic Attribute Tree-CNN (PAT-CNN) to explicitly deal with the large intra-class variations caused by identity-related attributes, e.g., age, race, and gender. Specifically, a novel PAT module with…

Computer Vision and Pattern Recognition · Computer Science 2018-12-19 Jie Cai , Zibo Meng , Ahmed Shehab Khan , Zhiyuan Li , James O'Reilly , Yan Tong

We consider the problem of estimating the maximum posterior probability (MAP) state sequence for a finite state and finite emission alphabet hidden Markov model (HMM) in the Bayesian setup, where both emission and transition matrices have…

Machine Learning · Statistics 2020-04-20 Alexey Koloydenko , Kristi Kuljus , Jüri Lember

Single individual haplotyping is an NP-hard problem that emerges when attempting to reconstruct an organism's inherited genetic variations using data typically generated by high-throughput DNA sequencing platforms. Genomes of diploid…

Machine Learning · Computer Science 2019-09-04 Somsubhra Barik , Haris Vikalo

We develop an empirical Bayes (EB) G-modeling framework for short-panel linear models with nonparametric prior for the random intercepts, slopes, dynamics, and non-spherical error variances. We establish identification and consistency of…

Econometrics · Economics 2026-02-13 Myunghyun Song , Sokbae Lee , Serena Ng

This paper devises a fully Bayesian sample size determination method for hierarchical model-based small area estimation with a decision risk approach. A new loss function specified around a desired maximum posterior variance target…

Methodology · Statistics 2018-02-27 Peter Dutey-Magni

Short tandem repeats (STRs) and single nucleotide polymorphisms (SNPs) are two kinds of commonly used markers in Y chromosome studies of forensic and population genetics. There has been increasing interest in the cost saving strategy by…

Populations and Evolution · Quantitative Biology 2013-10-22 Chuan-Chao Wang , Ling-Xiang Wang , Rukesh Shrestha , Shaoqing Wen , Manfei Zhang , Xinzhu Tong , Li Jin , Hui Li

The domestication and subsequent selection by humans to create breeds of cattle undoubtedly altered the patterning of variation within their genomes. Strong selection to fix advantageous large-effect mutations underlying domesticability,…

Human identification is one of the most common and critical tasks for condition monitoring, human-machine interaction, and providing assistive services in smart environments. Recently, human gait has gained new attention as a biometric for…

Computer Vision and Pattern Recognition · Computer Science 2021-10-19 Muhammad Zeeshan Arshad , Dawoon Jung , Mina Park , Kyung-Ryoul Mun , Jinwook Kim

The experimenter must perform a legitimate search in the entire set of feasible censoring schemes to identify the optimal type II progressive censoring scheme, when applied to a life-testing experiment. Current recommendations are limited…

Applications · Statistics 2025-07-29 Ujjwal Roy , Ritwik Bhattacharya