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OCARS (Optical Characteristics of Astrometric Radio Sources) is a compiled catalog of various additional data associated with astrometric radio sources whose coordinates have been determined from very long baseline interferometry (VLBI)…

Instrumentation and Methods for Astrophysics · Physics 2025-05-20 Zinovy Malkin

In the algorithm Intersort, Chevalley et al. (2024) proposed a score-based method to discover the causal order of variables in a Directed Acyclic Graph (DAG) model, leveraging interventional data to outperform existing methods. However, as…

Machine Learning · Computer Science 2024-10-14 Mathieu Chevalley , Arash Mehrjou , Patrick Schwab

With distributed machine learning being a prominent technique for large-scale machine learning tasks, communication complexity has become a major bottleneck for speeding up training and scaling up machine numbers. In this paper, we propose…

Machine Learning · Computer Science 2023-09-26 Pengyun Yue , Hanzhen Zhao , Cong Fang , Di He , Liwei Wang , Zhouchen Lin , Song-chun Zhu

Microscopy imaging plays a vital role in understanding many biological processes in development and disease. The recent advances in automation of microscopes and development of methods and markers for live cell imaging has led to rapid…

Computer Vision and Pattern Recognition · Computer Science 2017-05-10 Saad Ullah Akram , Juho Kannala , Lauri Eklund , Janne Heikkilä

In this work, we propose a new method, termed as R-CORK, for the numerical solution of large-scale rational eigenvalue problems, which is based on a linearization and on a compact decomposition of the rational Krylov subspaces corresponding…

Numerical Analysis · Mathematics 2017-05-22 Froilán M. Dopico , Javier González-Pizarro

Arbitrary-oriented object detection (AOOD) is a challenging task to detect objects in the wild with arbitrary orientations and cluttered arrangements. Existing approaches are mainly based on anchor-based boxes or dense points, which rely on…

Computer Vision and Pattern Recognition · Computer Science 2022-05-26 Linhui Dai , Hong Liu , Hao Tang , Zhiwei Wu , Pinhao Song

Geologic cores are rock samples that are extracted from deep under the ground during the well drilling process. They are used for petroleum reservoirs' performance characterization. Traditionally, physical studies of cores are carried out…

Machine Learning · Computer Science 2022-11-29 Zangir Iklassov , Dmitrii Medvedev , Otabek Nazarov , Shakhboz Razzokov

Chromosome classification is critical for karyotyping in abnormality diagnosis. To expedite the diagnosis, we present a novel method named Varifocal-Net for simultaneous classification of chromosome's type and polarity using deep…

Computer Vision and Pattern Recognition · Computer Science 2019-03-21 Yulei Qin , Juan Wen , Hao Zheng , Xiaolin Huang , Jie Yang , Ning Song , Yue-Min Zhu , Lingqian Wu , Guang-Zhong Yang

The purpose of this study is to explore the performance of Informed OCR or iOCR. iOCR was developed with a spell correction algorithm to fix errors introduced by conventional OCR for vote tabulation. The results found that the iOCR system…

Emerging Technologies · Computer Science 2022-08-02 Kenneth U. Oyibo , Jean D. Louis , Juan E. Gilbert

The complex correlation structure of a collection of orthologous DNA sequences is uniquely captured by the "ancestral recombination graph" (ARG), a complete record of coalescence and recombination events in the history of the sample.…

Populations and Evolution · Quantitative Biology 2013-12-04 Matthew D. Rasmussen , Melissa J. Hubisz , Ilan Gronau , Adam Siepel

Cell imaging and analysis are fundamental to biomedical research because cells are the basic functional units of life. Among different cell-related analysis, cell counting and detection are widely used. In this paper, we focus on one common…

Computer Vision and Pattern Recognition · Computer Science 2019-04-19 Haoyi Liang , Aijaz Naik , Cedric L. Williams , Jaideep Kapur , Daniel S. Weller

Frameshift mutations in protein-coding DNA sequences produce a drastic change in the resulting protein sequence, which prevents classic protein alignment methods from revealing the proteins' common origin. Moreover, when a large number of…

Quantitative Methods · Quantitative Biology 2011-01-18 Marta L. Gîrdea , Laurent Noé , Gregory Kucherov

An approach based on using the idea of distinguished coding phase in explicit form for identification of protein-coding regions (exons) in whole genome has been proposed. For several genomes an optimal window length for averaging GC-content…

Biological Physics · Physics 2007-05-23 Alexander N. Gorban , Andrey Yu. Zinovyev , Tatyana G. Popova

We introduce Conformal Interquantile Regression (CIR), a conformal regression method that efficiently constructs near-minimal prediction intervals with guaranteed coverage. CIR leverages black-box machine learning models to estimate outcome…

Machine Learning · Statistics 2026-01-07 Naixin Guo , Rui Luo , Zhixin Zhou

Artificial Intelligence (AI) can potentially support histopathologists in the diagnosis of a broad spectrum of cancer types. In colorectal cancer (CRC), AI can alleviate the laborious task of characterization and reporting on resected…

Image and Video Processing · Electrical Eng. & Systems 2023-02-10 John-Melle Bokhorst , Iris D. Nagtegaal , Filippo Fraggetta , Simona Vatrano , Wilma Mesker , Michael Vieth , Jeroen van der Laak , Francesco Ciompi

ICORE is a command-line driven co-addition, mosaicking and resolution enhancement (HiRes) tool for creating science quality products from image data in FITS format and with World Coordinate System information following the FITS-WCS…

Instrumentation and Methods for Astrophysics · Physics 2013-05-16 Frank Masci

Existing Incremental Object Detection (IOD) methods partially alleviate catastrophic forgetting when incrementally detecting new objects in real-world scenarios. However, many of these methods rely on the assumption that unlabeled old-class…

Computer Vision and Pattern Recognition · Computer Science 2025-11-21 Zijia An , Boyu Diao , Libo Huang , Ruiqi Liu , Zhulin An , Yongjun Xu

Genomics has revolutionized biology, enabling the interrogation of whole transcriptomes, genome-wide binding sites for proteins, and many other molecular processes. However, individual genomic assays measure elements that interact in vivo…

Machine Learning · Statistics 2022-06-08 Sumanta Basu , Karl Kumbier , James B. Brown , Bin Yu

In order to help in the identification of INTEGRAL/ISGRI sources, we have developed a software package which allows a rapid and detailed cross-correlation to be performed between various source catalogues. It allows subsets of catalogues to…

Astrophysics · Physics 2007-05-23 John B. Stephen , A. Malizia , L. Bassani

Isochores are long genome segments relatively homogeneous in G+C. A heuristic algorithm based on entropic segmentation has been developed by our group, and a web server implementing all the required components is available. However, a…

Genomics · Quantitative Biology 2009-09-29 Pedro Bernaola-Galván , Pedro Carpena , José L. Oliver