Market segmentation ≈ Market segmentation
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Scene Parsing through ADE20K Dataset Open
Scene parsing, or recognizing and segmenting objects and stuff in an image, is one of the key problems in computer vision. Despite the community's efforts in data collection, there are still few image datasets covering a wide range of scen…
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A strategic framework for artificial intelligence in marketing Open
The authors develop a three-stage framework for strategic marketing planning, incorporating multiple artificial intelligence (AI) benefits: mechanical AI for automating repetitive marketing functions and activities, thinking AI for process…
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Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl Open
Segmenting the nuclei of cells in microscopy images is often the first step in the quantitative analysis of imaging data for biological and biomedical applications. Many bioimage analysis tools can segment nuclei in images but need to be s…
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ITK-SNAP: An interactive tool for semi-automatic segmentation of multi-modality biomedical images Open
Obtaining quantitative measures from biomedical images often requires segmentation, i.e., finding and outlining the structures of interest. Multi-modality imaging datasets, in which multiple imaging measures are available at each spatial l…
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Sustainability and marketing in tourism: its contexts, paradoxes, approaches, challenges and potential Open
Tourism marketing has typically been seen as exploitative and fuelling hedonistic consumerism. Sustainability marketing can, however, use marketing skills and techniques to good purpose, by understanding market needs, designing more sustai…
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Crowdsourcing the creation of image segmentation algorithms for connectomics Open
To stimulate progress in automating the reconstruction of neural circuits, we organized the first international challenge on 2D segmentation of electron microscopic (EM) images of the brain. Participants submitted boundary maps predicted f…
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U.S. Sustainable Food Market Generation Z Consumer Segments Open
This study explores the interaction between environmental consciousness and sustainable food attributes as predictors in the market segmentation process for sustainable foods with respect to United States (U.S.) Generation Z (Gen Z) consum…
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Beyond Stereotypes: Using Socioemotional Selectivity Theory to Improve Messaging to Older Adults Open
The tremendous heterogeneity in functional and demographic characteristics of the over-65 age group presents challenges to effective marketing and public-health communications. Messages grounded on tacit assumptions that older people are f…
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Using deep learning to segment breast and fibroglandular tissue in MRI volumes Open
Purpose Automated segmentation of breast and fibroglandular tissue (FGT) is required for various computer‐aided applications of breast MRI. Traditional image analysis and computer vision techniques, such atlas, template matching, or, edge …
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Semantic Understanding of Scenes through the ADE20K Dataset Open
Scene parsing, or recognizing and segmenting objects and stuff in an image, is one of the key problems in computer vision. Despite the community's efforts in data collection, there are still few image datasets covering a wide range of scen…
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RFM ranking – An effective approach to customer segmentation Open
The efficient segmentation of customers of an enterprise is categorized into groups of similar behavior based on the RFM (Recency, Frequency and Monetary) values of the customers. The transactional data of a company over is analyzed over a…
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Impact of Big Data Analytics on Banking Sector: Learning for Indian Banks Open
The big data revolution happening in and around 21st century has found a resonance with banking firms, considering the valuable data they've been storing since many decades. This data has now unlocked secrets of money movements, helped pre…
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Transitions towards omni-channel retailing strategies: a business model perspective Open
Purpose Digitalisation has been identified as a driving force behind retail sector transformation. The purpose of this paper is to provide a deeper understanding of how omni-channel strategies link to the digitalisation phenomenon. The stu…
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In Search of Conversational Grain Size: Modeling Semantic Structure using Moving Stanza Windows Open
Analyses of learning based on student discourse need to account not only for the content of the utterances but also for the ways in which students make connections across turns of talk. This requires segmentation of discourse data to defin…
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Segmentation Based on Consumers' Perceived Importance and Attitude toward Farm Animal Welfare Open
Animal welfare is subject to increased societal concern and consumer interest. However, not everybody considers animal welfare as equally important or reason of concern. As a consequence, it is relevant from a socio-economic perspective to…
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K-Means Clustering Approach for Intelligent Customer Segmentation Using Customer Purchase Behavior Data Open
E-commerce system has become more popular and implemented in almost all business areas. E-commerce system is a platform for marketing and promoting the products to customer through online. Customer segmentation is known as a process of div…
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PanNuke Dataset Extension, Insights and Baselines Open
The emerging area of computational pathology (CPath) is ripe ground for the application of deep learning (DL) methods to healthcare due to the sheer volume of raw pixel data in whole-slide images (WSIs) of cancerous tissue slides. However,…
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Segmenting the Generation Z Cohort University Students Based on Sustainable Food Consumption Behavior: A Preliminary Study Open
In-depth knowledge of sustainable food consumption behavior regarding university students, and especially the younger ones, reveals tendencies of the worlds’ sustainable future. This study aims to explore the sustainable food consumption b…
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Segment Everything Everywhere All at Once Open
In this work, we present SEEM, a promptable and interactive model for segmenting everything everywhere all at once in an image, as shown in Fig.1. In SEEM, we propose a novel decoding mechanism that enables diverse prompting for all types …
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FusionSeg: Learning to combine motion and appearance for fully automatic segmention of generic objects in videos Open
We propose an end-to-end learning framework for segmenting generic objects in videos. Our method learns to combine appearance and motion information to produce pixel level segmentation masks for all prominent objects in videos. We formulat…
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MARKET SEGMENTATION IN WINE TOURISM: A COMPARISON OF APPROACHES Open
In an attempt to approach wine tourism as a form of consumer behaviour, a substantial amount of research has focused on the demand-side, exploring the consumers who travel to wine regions. Despite the fact that there is no single, stereoty…
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Segmenting Objects From Relational Visual Data Open
In this article, we model a set of pixelwise object segmentation tasks - automatic video segmentation (AVS), image co-segmentation (ICS) and few-shot semantic segmentation (FSS) - in a unified view of segmenting objects from relational vis…
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Inequality, Labor Market Segmentation, and Preferences for Redistribution Open
We formalize and examine two overlapping models that show how rising inequality combined with ethnic and racial heterogeneity can explain why many advanced industrial countries have experienced a drop in support for redistribution as inequ…
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Increasing sample size compensates for data problems in segmentation studies Open
Survey data frequently serve as the basis for market segmentation studies. Survey data, however, are prone to a range of biases. Little is known about the effects of such biases on the quality of data-driven market segmentation solutions. …
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Decision making for business model development: a process study of effectuation and causation in new technology‐based ventures Open
This study investigates the decision‐making logics used by new ventures to develop their business models. In particular, they focussed on the logics of effectuation and causation and how their dynamics shape the development of business mod…
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Labor Market Segmentation Open
Labor market segmentation theories arose as an alternative to neoclassical notions of labor and labor markets in the 1970s. After briefly revisiting the strengths and the weaknesses of this approach, the article discusses more recent devel…
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B2C E-Commerce Customer Churn Prediction Based on K-Means and SVM Open
Customer churn prediction is very important for e-commerce enterprises to formulate effective customer retention measures and implement successful marketing strategies. According to the characteristics of longitudinal timelines and multidi…
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Neural Word Segmentation with Rich Pretraining Open
Neural word segmentation research has benefited from large-scale raw texts by leveraging them for pretraining character and word embeddings. On the other hand, statistical segmentation research has exploited richer sources of external info…
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Food Choice Determinants and Perceptions of a Healthy Diet among Italian Consumers Open
Healthy food choices are crucial for a healthy lifestyle. However, food choices are complex and affected by various factors. Understanding the determinant factors affecting food choices could aid policy-makers in designing better strategie…
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Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning Open
We address the problem of segmenting 3D multi-modal medical images in scenarios where very few labeled examples are available for training. Leveraging the recent success of adversarial learning for semi-supervised segmentation, we propose …