Cargando…

Agent Productivity Modeling in a Call Center Domain Using Attentive Convolutional Neural Networks

Measuring the productivity of an agent in a call center domain is a challenging task. Subjective measures are commonly used for evaluation in the current systems. In this paper, we propose an objective framework for modeling agent productivity for real estate call centers based on speech signal proc...

Descripción completa

Detalles Bibliográficos
Autores principales:	Ahmed, Abdelrahman, Toral, Sergio, Shaalan, Khaled, Hifny, Yaser
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2020
Materias:	Letter
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7583821/ https://www.ncbi.nlm.nih.gov/pubmed/32992724 http://dx.doi.org/10.3390/s20195489

Ejemplares similares

A Multimodal Approach to Improve Performance Evaluation of Call Center Agent
por: Ahmed, Abdelrahman, et al.
Publicado: (2021)

Attention-Based Convolutional Neural Network for Ingredients Identification
por: Chen, Shi, et al.
Publicado: (2023)

Double attention recurrent convolution neural network for answer selection
por: Bao, Ganchao, et al.
Publicado: (2020)

Adaptive Attention Convolutional Neural Network for Liver Tumor Segmentation
por: Luan, Shunyao, et al.
Publicado: (2021)

Multiscale Convolutional Neural Networks with Attention for Plant Species Recognition
por: Wang, Xianfeng, et al.
Publicado: (2021)

Multiscale Hybrid Convolutional Deep Neural Networks with Channel Attention
por: Yang, Hua, et al.
Publicado: (2022)

Action Recognition by an Attention-Aware Temporal Weighted Convolutional Neural Network
por: Wang, Le, et al.
Publicado: (2018)

Convolution- and Attention-Based Neural Network for Automated Sleep Stage Classification
por: Zhu, Tianqi, et al.
Publicado: (2020)

The Costs and Benefits of Goal-Directed Attention in Deep Convolutional Neural Networks
por: Luo, Xiaoliang, et al.
Publicado: (2021)

EEG-based detection of the locus of auditory attention with convolutional neural networks
por: Vandecappelle, Servaas, et al.
Publicado: (2021)

Coupled Attention Framework of Convolutional Neural Network Based on Computer Intelligence
por: Yang, Huoxiang, et al.
Publicado: (2022)

Combining convolutional neural networks and self-attention for fundus diseases identification
por: Wang, Keya, et al.
Publicado: (2023)

Crop pest detection by three-scale convolutional neural network with attention
por: Wang, Xuqi, et al.
Publicado: (2023)

CNNdel: Calling Structural Variations on Low Coverage Data Based on Convolutional Neural Networks
por: Wang, Jing, et al.
Publicado: (2017)

Instance segmentation convolutional neural network based on multi-scale attention mechanism
por: Gaihua, Wang, et al.
Publicado: (2022)

Loss-Based Attention for Interpreting Image-Level Prediction of Convolutional Neural Networks
por: Shi, Xiaoshuang, et al.
Publicado: (2021)

Classification of plug seedling quality by improved convolutional neural network with an attention mechanism
por: Du, Xinwu, et al.
Publicado: (2022)

Automatic Recognition of Road Damage Based on Lightweight Attentional Convolutional Neural Network
por: Liang, Han, et al.
Publicado: (2022)

Leveraging Attention-Based Convolutional Neural Networks for Meningioma Classification in Computational Histopathology
por: Sehring, Jannik, et al.
Publicado: (2023)

Application of graph frequency attention convolutional neural networks in depression treatment response
por: Lu, Zihe, et al.
Publicado: (2023)

Dual-Domain Fusion Convolutional Neural Network for Contrast Enhancement Forensics
por: Yang, Pengpeng
Publicado: (2021)

A multi-task convolutional deep neural network for variant calling in single molecule sequencing
por: Luo, Ruibang, et al.
Publicado: (2019)

Application of convolutional neural networks for prediction of disinfection by-products
por: Peleato, Nicolás M.
Publicado: (2022)

Convolutional Recurrent Neural Networks with a Self-Attention Mechanism for Personnel Performance Prediction
por: Xue, Xia, et al.
Publicado: (2019)

Self Multi-Head Attention-based Convolutional Neural Networks for fake news detection
por: Fang, Yong, et al.
Publicado: (2019)

Pre-trained Deep Convolution Neural Network Model With Attention for Speech Emotion Recognition
por: Zhang, Hua, et al.
Publicado: (2021)

Automatic Concrete Damage Recognition Using Multi-Level Attention Convolutional Neural Network
por: Shin, Hyun Kyu, et al.
Publicado: (2020)

Identification of Apple Leaf Diseases by Improved Deep Convolutional Neural Networks With an Attention Mechanism
por: Wang, Peng, et al.
Publicado: (2021)

Environmental sound classification using temporal-frequency attention based convolutional neural network
por: Mu, Wenjie, et al.
Publicado: (2021)

A convolutional recurrent neural network with attention framework for speech separation in monaural recordings
por: Sun, Chao, et al.
Publicado: (2021)

Convolutional Neural Network with Multiscale Fusion and Attention Mechanism for Skin Diseases Assisted Diagnosis
por: Li, Zhong, et al.
Publicado: (2022)

Drug Response Prediction Based on 1D Convolutional Neural Network and Attention Mechanism
por: Mingxun, Zhu, et al.
Publicado: (2022)

Guiding visual attention in deep convolutional neural networks based on human eye movements
por: van Dyck, Leonard Elia, et al.
Publicado: (2022)

Optimized Convolutional Neural Network Recognition for Athletes’ Pneumonia Image Based on Attention Mechanism
por: Zhang, Hui, et al.
Publicado: (2022)

Class-attention-based lesion proposal convolutional neural network for strawberry diseases identification
por: Hu, Xiaobo, et al.
Publicado: (2023)

Mosquito swarm counting via attention-based multi-scale convolutional neural network
por: Chen, Huahua, et al.
Publicado: (2023)

Point-of-Interest Preference Model Using an Attention Mechanism in a Convolutional Neural Network
por: Kasgari, Abbas Bagherian, et al.
Publicado: (2023)

Computation and memory optimized spectral domain convolutional neural network for throughput and energy-efficient inference
por: Rizvi, Shahriyar Masud, et al.
Publicado: (2022)

Identification of Enzymes-specific Protein Domain Based on DDE, and Convolutional Neural Network
por: Sikander, Rahu, et al.
Publicado: (2021)

A Zero-Padding Frequency Domain Convolutional Neural Network for SSVEP Classification
por: Gao, Dongrui, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_2igmh666822jmgo36420bm1as3