Results 101 to 110 of about 10,850,903 (220)

A Comprehensive Survey on Deep Learning in Abdominal Imaging: Datasets, Techniques, and Performance Metrics

IEEE Access
Integrating Deep Learning (DL) into abdominal imaging represents a significant leap forward in diagnosing and managing abdominal conditions, offering the potential to transform conventional medical practices.
Mariem Bellal, Sanaa El Fkihi, Korhan Cengiz, Nikola Ivkovic   +3 more
doaj   +1 more source

An efficient temporally-constrained probabilistic model for multiple-instrument music transcription [PDF]

, 2015
In this paper, an efficient, general-purpose model for multiple instrument polyphonic music transcription is proposed. The model is based on probabilistic latent component analysis and supports the use of sound state spectral templates, which represent ...
16th International Society for Music Information Retrieval Conference (ISMIR), Benetos, E, Weyde, T   +2 more
core  

The Effect of Training Data Size on Disaster Classification from Twitter

Information
In the realm of disaster-related tweet classification, this study presents a comprehensive analysis of various machine learning algorithms, shedding light on crucial factors influencing algorithm performance. The exceptional efficacy of simpler models is
Dimitrios Effrosynidis, Georgios Sylaios, Avi Arampatzis   +2 more
doaj   +1 more source

Combining relevance information in a synchronous collaborative information retrieval environment [PDF]

, 2008
Traditionally information retrieval (IR) research has focussed on a single user interaction modality, where a user searches to satisfy an information need.
Foley, Colum, Jones, Gareth J.F., Smeaton, Alan F.   +2 more
core  

The CLAIRE visual analytics system for analysing IR evaluation data [PDF]

, 2018
In this paper, we describe Combinatorial visuaL Analytics system for Information Retrieval Evaluation (CLAIRE), a Visual Analytics (VA) system for exploring and making sense of the performances of a large amount of Information Retrieval (IR) systems, in ...
Angelini, Marco, Fazzini, Vanessa, Ferro, Nicola, Santucci, Giuseppe, Silvello, Gianmaria   +4 more
core  

Report of MIRACLE team for Geographical IR in CLEF 2006

, 2006
The main objective of the designed experiments is testing the effects of geographical information retrieval from documents that contain geographical tags.
González Cristóbal, José Carlos, Goñi Menoyo, José Miguel, Lana Serrano, Sara   +2 more
core  

An innovative approach to advanced voice classification of sacred Quranic recitations through multimodal fusion

Egyptian Informatics Journal
The Quran is the most important book we have ever read or recited. Perfecting recitation of the Holy Quran is challenging. In this paper, we integrate the use of multimodal fusion to result in advanced voice classification of sacred Quranic recitations ...
Esraa Hassan, Abeer Saber, Omar Alqahtani, Nora El-Rashidy, Samar Elbedwehy   +4 more
doaj   +1 more source

Lightweight grading segmentation network for powdery mildew based on model pruning and knowledge distillation

Smart Agricultural Technology
Real-time, on-device segmentation of rubber tree powdery mildew is crucial for smart agriculture, yet existing deep learning models often fail to balance accuracy with computational efficiency.
Yuheng Li, Lisha Ye, Yu Zhang, Lijuan Zhou, Qian Chen   +4 more
doaj   +1 more source

Learning to rank for information retrieval

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009
Tie-Yan Liu
semanticscholar   +1 more source

A Deep Look into Neural Ranking Models for Information Retrieval [PDF]

Information Processing & Management, 2019
J. Guo, Yixing Fan, Liang Pang, Liu Yang, Qingyao Ai, Hamed Zamani, Chen Wu, W. Bruce Croft, Xueqi Cheng   +8 more
semanticscholar   +1 more source