Results 41 to 50 of about 566,348 (288)

Relation Networks for Object Detection

, 2018
Although it is well believed for years that modeling relations between objects would help object recognition, there has not been evidence that the idea is working in the deep learning era.
Dai, Jifeng, Gu, Jiayuan, Hu, Han, Wei, Yichen, Zhang, Zheng   +4 more
core   +1 more source

Identification of MIR-Flickr near-duplicate images : a benchmark collection for near-duplicate detection [PDF]

, 2015
There are many contexts where the automated detection of near-duplicate images is important, for example the detection of copyright infringement or images of child abuse.
Cardillo, Franco Alberto, Connor, Richard, MacKenzie-Leigh, Stewart, Moss, Robert   +3 more
core   +1 more source

Evaluating the Utility of Paired Tumor and Germline Targeted DNA Sequencing for Pediatric Oncology Patients: A Single Institution Report

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate the diagnostic yield and utility of universal paired tumor–normal multigene panel sequencing in newly diagnosed pediatric solid and central nervous system (CNS) tumor patients and to compare the detection of germline pathogenic/likely pathogenic variants (PV/LPVs) against established clinical referral criteria for cancer ...
Natalie Waligorski, Rebecca Ronsley, Shannon M. Stasi, Jeffrey Stevens, Erin R. Rudzinski, Christina M. Lockwood, Sarah E. S. Leary, Bonnie L. Cole, Michelle A. Ting, Vera Paulson   +9 more
wiley   +1 more source

Learning to combine multiple string similarity metrics for effective toponym matching

International Journal of Digital Earth, 2018
Several tasks related to geographical information retrieval and to the geographical information sciences involve toponym matching, that is, the problem of matching place names that share a common referent.
Rui Santos, Patricia Murrieta-Flores, Bruno Martins   +2 more
doaj   +1 more source

Duplicate Bug Report Detection and Classification System Based on Deep Learning Technique

IEEE Access, 2020
Duplicate bug report detection is a process of finding a duplicate bug report in the bug tracking system. This process is essential to avoid unnecessary work and rediscovery.
Ashima Kukkar, Rajni Mohana, Yugal Kumar, Anand Nayyar, Muhammad Bilal, Kyung-Sup Kwak   +5 more
doaj   +1 more source

Evaluation of the diagnostic accuracy of prototype rapid tests for human African trypanosomiasis [PDF]

, 2014
Peer reviewedPublisher ...
A Agresti, A Garcia, C Burri, D Malvy, E Hasker, F Chappuis, GA Posthuma-Trumpie, Jayne Raper, Jeremy M. Sternberg, JM Sternberg, Joseph M. Ndung'u, JR Landis, K Ziegelbauer, L Sullivan, L Sullivan, Marek Gierliński, Michael A. J. Ferguson, MP Barrett, N VanMeirvenne, P Buscher, P Buscher, P Dukes, P Mitashi, P Mitashi, PG Kennedy, PP Simarro, RW Peeling, SL Wastling, Sylvain Biéler   +28 more
core   +6 more sources

Intravitreal GD2‐Specific Chimeric Antigen Receptor T‐Cell Therapy for Refractory Retinoblastoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Effective treatments for advanced, treatment‐resistant retinoblastoma (RB) remain limited. GD2‐specific chimeric antigen receptor (CAR) T cells show potent antitumor activity with minimal toxicity but have not previously been evaluated in RB.
Subongkoch Subhadhirasakul, Jatuporn Sujjitjoon, Pa‐thai Yenchitsomanus, Kridtin Jarutatsanangkoon, Ng Wei Loon, Kleebsabai Sanpakit, Jassada Buaboonnam, Chayamon Takpradit, Pornpimon Yuti, Nunghathai Sawasdee, Piriya Luangwattananun, Siripakorn Sangkitporn, Arnan Limmahachai, La‐ongsri Atchaneeyasakul   +13 more
wiley   +1 more source

Performance and Scalability of Data Cleaning and Preprocessing Tools: A Benchmark on Large Real-World Datasets

Data
Data cleaning remains one of the most time-consuming and critical steps in modern data science, directly influencing the reliability and accuracy of downstream analytics.
Pedro Martins, Filipe Cardoso, Paulo Váz, José Silva, Maryam Abbasi   +4 more
doaj   +1 more source

Detecting periodic subsequences in cyber security data

, 2017
Statistical approaches to cyber-security involve building realistic probability models of computer network data. In a data pre-processing phase, separating automated events from those caused by human activity should improve statistical model building and
Heard, Nick, Price-Williams, Matthew, Turcotte, Melissa   +2 more
core   +1 more source

Pulmonary Dysfunction Is Associated With Sleep Study Abnormalities in Children With Sickle Cell Disease: A Multicenter Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Pulmonary dysfunction and sleep abnormalities are common in children with sickle cell disease (SCD) and are associated with worse clinical outcomes. Whether spirometry abnormalities are associated with polysomnography (PSG) findings remains unclear.
Ammar Saadoon Alishlash, Anis Rabbani Nourani, A. K. M. Fazlur Rahman, Dima Ezmigna, Tarig Ali‐Dinar   +4 more
wiley   +1 more source