Results 31 to 40 of about 20,788 (183)

Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning

, 2019
The goal of a Question Paraphrase Retrieval (QPR) system is to retrieve equivalent questions that result in the same answer as the original question. Such a system can be used to understand and answer rare and noisy reformulations of common questions by ...
Bonadiman, Daniele, Kumar, Anjishnu, Mittal, Arpit   +2 more
core   +1 more source

The Challenge of Handling Structured Missingness in Integrated Data Sources

Advanced Intelligent Discovery, EarlyView.
As data integration becomes ever more prevalent, a new research question that emerges is how to handle missing values that will inevitably arise in these large‐scale integrated databases? This missingness can be described as structured missingness, encompassing scenarios involving multivariate missingness mechanisms and deterministic, nonrandom ...
James Jackson, Marius Hofert, Eleni‐Rosalina Andrinopoulou, Niels Hagenbuch, Sarah McGough, Chris Harbron, Robin Mitra   +6 more
wiley   +1 more source

BMPCQA: Bioinspired Metaverse Point Cloud Quality Assessment Based on Large Multimodal Models

Advanced Intelligent Systems, EarlyView.
This study presents a bioinspired metaverse point cloud quality assessment metric, which simulates the human visual evaluation process to perform the point cloud quality assessment task. It first extracts rendering projection video features, normal image features, and point cloud patch features, which are then fed into a large multimodal model to ...
Huiyu Duan, Kang Fu, Sijing Wu, Yunhao Li, Zicheng Zhang, Qiang Hu, Xiongkuo Min, Guangtao Zhai   +7 more
wiley   +1 more source

Limitations of Cross-Lingual Learning from Image Search

, 2017
Cross-lingual representation learning is an important step in making NLP scale to all the world's languages. Recent work on bilingual lexicon induction suggests that it is possible to learn cross-lingual representations of words based on similarities ...
Hartmann, Mareike, Soegaard, Anders
core   +1 more source

Polymerase Chain Reaction. Perturbation Theory and Machine Learning Artificial Intelligence‐Experimental Microbiome Analysis: Applications to Ancient DNA and Tree Soil Metagenomics Cases of Study

Advanced Intelligent Systems, EarlyView.
The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez, Estefania Ascencio, Jose M. Ageitos, Lucia Feijoo, Shan He, Amirreza Daghighi, Gerardo M. Casanola‐Martin, Cristian R. Munteanu, Santiago Rodriguez Yañez, Alejandro Pazos, Harbil Bediaga, Brenda Durand Ordiales, Raquel Esteban, Ana‐Maria Heres, Jorge Curiel Yuste, Lur Epelde, Bakhtiyor Rasulev, Tomas Gonzalez, Sonia Arrasate, Humberto González‐Diaz   +19 more
wiley   +1 more source

CSD: Discriminance with Conic Section for Improving Reverse k Nearest Neighbors Queries

, 2020
The reverse $k$ nearest neighbor (R$k$NN) query finds all points that have the query point as one of their $k$ nearest neighbors ($k$NN), where the $k$NN query finds the $k$ closest points to its query point. Based on the characteristics of conic section,
Bai, Mingyuan, Gao, Junbin, Li, Yang, Liu, Gang, Ming, Zi, Ye, Lixin   +5 more
core  

Revisiting Exact kNN Query Processing with Probabilistic Data Space Transformations [PDF]

2018 IEEE International Conference on Big Data (Big Data), 2018
The state-of-the-art approaches for scalable kNN query processing utilise big data parallel/distributed platforms (e.g., Hadoop and Spark) and storage engines (e.g, HDFS, NoSQL, etc.), upon which they build (tree based) indexing methods for effi- cient query processing.
Cahsai, Atoshum, Anagnostopoulos, Christos, Ntarmos, Nikos, Triantafillou, Peter   +3 more
openaire   +2 more sources

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

Advanced Intelligent Systems, EarlyView.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella, Angelo Cardellicchio, Cosimo Patruno, Massimiliano Nitti, Nicola Pedrocchi, Vito Renò   +5 more
wiley   +1 more source

Hepatic morphology and serum biochemical profile according to dry and rainy seasons in Pygocentrus nattereri (Characiformes: Serrasalmidae)

The Anatomical Record, EarlyView.
Abstract This study investigated the physiological and morphological adaptations of the liver of the carnivorous fish Pygocentrus nattereri (piranha) in response to seasonal variations (dry and rainy seasons) in the Brazilian Pantanal. The objective was to describe how the liver, a central organ in metabolic regulation, responds to environmental ...
Maria Eduarda Corona Garcia, Sandriely F. Marcondes, Mayara S. Siqueira, Taynara R. F. Leão, Robson A. Rodrigues, Karine N. N. Farias, André L. N. Silva, Karin Virgínia Kuibida, Lilian Franco‐Belussi, Carlos E. Fernandes   +9 more
wiley   +1 more source

Multiple instance learning for sequence data with across bag dependencies

, 2019
In Multiple Instance Learning (MIL) problem for sequence data, the instances inside the bags are sequences. In some real world applications such as bioinformatics, comparing a random couple of sequences makes no sense.
Aridhi, Sabeur, Maddouri, Mondher, Nguifo, Engelbert Mephu, Zoghlami, Manel   +3 more
core   +3 more sources