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Document worth reading: “A Survey on Sentiment and Emotion Analysis for Computational Literary Studies”

Emotions have often been a crucial part of compelling narratives: literature tells about people with goals, desires, passions, and intentions. In the past, classical literary studies usually scrutinized the affective…

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Document worth reading: “What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective”

Selective attention plays an essential role in information acquisition and utilization from the environment. In the past 50 years, research on selective attention has been a central topic in cognitive…

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Document worth reading: “A Model for General Intelligence”

The overarching problem in artificial intelligence (AI) is that we do not understand the intelligence process well enough to enable the development of adequate computational models. Much work has been…

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Document worth reading: “Video Description: A Survey of Methods, Datasets and Evaluation Metrics”

Automatic video description is useful for assisting the visually impaired, human computer interaction, robotics and video indexing. The past few years have seen a surge of research interest in this…

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Document worth reading: “Towards Intelligent Vehicular Networks: A Machine Learning Framework”

As wireless networks evolve towards high mobility and providing better support for connected vehicles, a number of new challenges arise due to the resulting high dynamics in vehicular environments and…

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Document worth reading: “The Future of Misinformation Detection: New Perspectives and Trends”

The massive spread of misinformation in social networks has become a global risk, implicitly influencing public opinion and threatening social/political development. Misinformation detection (MID) has thus become a surging research…

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Document worth reading: “Commonsense Reasoning Using WordNet and SUMO: a Detailed Analysis”

We describe a detailed analysis of a sample of large benchmark of commonsense reasoning problems that has been automatically obtained from WordNet, SUMO and their mapping. The objective is to…

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Document worth reading: “Deep Learning for Fine-Grained Image Analysis: A Survey”

Computer vision (CV) is the process of using machines to understand and analyze imagery, which is an integral branch of artificial intelligence. Among various research areas of CV, fine-grained image…

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Document worth reading: “Deep Learning for Anomaly Detection: A Survey”

Anomaly detection is an important problem that has been well-studied within diverse research areas and application domains. The aim of this survey is two-fold, firstly we present a structured and…

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Document worth reading: “Event-based Vision: A Survey”

Event cameras are bio-inspired sensors that work radically different from traditional cameras. Instead of capturing images at a fixed rate, they measure per-pixel brightness changes asynchronously. This results in a…