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Multimodal Information Retrieval
In today’s rapidly evolving digital landscape, the wealth of available information has expanded beyond the boundaries of traditional text-based...
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Retrieval Augmented Modeling
Till this point in our book, we have discussed the fundamental principles of information retrieval, exploring its key elements, and various...
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Outlook
While multimodal information retrieval has several exciting applications and a high potential for impact on important problems, there are several...
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Multimodal Content Generation
In this chapter, we will review the advances that are being made in this new field of multimodal content generation and also discuss several...
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Transformer-Driven Models for Language, Vision, and Multimodality
In this chapter, we will learn about the modeling and learning techniques that drive multimodal applications. We will focus specifically on the...
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Introduction
In this book, our emphasis is on multimodal information retrieval, specifically concentrating on text and image data. The traditional unimodal...
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VizChat: Enhancing Learning Analytics Dashboards with Contextualised Explanations Using Multimodal Generative AI Chatbots
Learning analytics dashboards (LADs) serve as pivotal tools in transforming complex learner data into actionable insights for educational...
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Assessing Distance Measures for Change Point Detection in Continual Learning Scenarios
Detecting relevant change points in time-series data is a necessary task in various applications. Change point detection methods are effective...
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Learning Typicality Inclusions in a Probabilistic Description Logic for Concept Combination
Our paper introduces an innovative automated system designed to extract logical rules using the...
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CSEPrompts: A Benchmark of Introductory Computer Science Prompts
Recent advances in AI, machine learning, and NLP have led to the development of a new generation of Large Language Models (LLMs) that are trained on...
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\(\text {SPL}^{{index}}\) : A Spatial Polygon Learned Index
Effective indexing is crucial for any AI and big data analysis task involving huge datasets. Recently, machine-learned models for indexing have...
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Token Pruning by Dimensionality Reduction Methods on TCT-ColBERT for Reranking
High-dimensional embeddings from dense retrieval models pose challenges in information retrieval and reranking because they need a lot of resources...
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A Stream Data Mining Approach to Handle Concept Drifts in Process Discovery
Process discovery algorithms discover process models from event logs recorded from the real-life processes. Traditional process discovery algorithms...
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ScoredKNN: An Efficient KNN Recommender Based on Dimensionality Reduction for Big Data
E-commerce companies have an inevitable need in employing recommender systems in order to enhance the user experience, increase customer...
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Research on Application of Deep Learning in Esophageal Cancer Pathological Detection
As the “gold standard” of tumor diagnosis, pathological diagnosis is more reliable than the analytical diagnosis, ultrasound, CT, nuclear magnetic...
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Visualization Techniques for Analyzing Learning Effects – Taking Python as an Example
With the advent of the information age, data visualization technology has gradually shown its unique features in various information fields, and its...
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A Survey of the Effects of Electrical Stimulation on Pain in Patients with Knee Osteoarthritis
Objective: To determine whether electrical stimulation therapy is effective at reducing pain in people with knee osteoarthritis. Methods: Various...
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Research on Performance Evaluation of Industrial Economic Management Based on Improved Machine Learning
Aiming at the problem of poor self-protection ability caused by too many iterations in the performance evaluation system of industrial economic...
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A Data Fusion Method of Information Teaching Feedback Based on Heuristic Firefly Algorithm
In order to obtain more accurate teaching feedback information, an information-based teaching feedback data fusion method is designed based on the...
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Research and Practice of Sample Data Set Collection Platform Based on Deep Learning Campus Question Answering System
This document expounds the design and implementation scheme of a question-and-answer sample dataset collection platform using...