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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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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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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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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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From Databases to Exchange Formats
This chapter addresses the question of how to transform relational database content into exchange formats in order to enable data interoperability...
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Process Orchestration: Conceptual Design
This chapter explains and discusses concepts for the conceptual design and formal verification of process orchestrations, employing notations such as...
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Complexity-Approximation Trade-Offs in Exchange Mechanisms: AMMs vs. LOBs
This paper presents a general framework for the design and analysis of exchange mechanisms between two assets that unifies and enables comparisons...
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Bayesian Network-Based Multi-objective Estimation of Distribution Algorithm for Feature Selection Tailored to Regression Problems
Feature selection is an essential pre-processing step in Machine Learning for improving the performance of models, reducing the time of predictions,...
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Eagle: Efficient Privacy Preserving Smart Contracts
The proliferation of Decentralised Finance (DeFi) and Decentralised Autonomous Organisations (DAO), which in current form are exposed to...
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Applying Genetic Algorithms to Validate a Conjecture in Graph Theory: The Minimum Dominating Set Problem
This paper presents a case study where the interdisciplinary approach between artificial intelligence, specifically genetic algorithms, and discrete...
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Multiresolution Controller Based on Window Function Networks for a Quanser Helicopter
To improve neural network (NN) performance, new activation functions, such as ReLU, GELU, and SELU, to name a few, have been proposed. Windows-based...
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Provably Avoiding Geographic Regions for Tor’s Onion Services
Tor, a peer-to-peer anonymous communication system, is one of the most effective tools in providing free and open communication online. Many of the...
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Smart Noise Detection for Statistical Disclosure Attacks
While anonymization systems like mix networks can provide privacy to their users by, e.g., hiding their communication relationships, several traffic...
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Load Demand Forecasting Using a Long-Short Term Memory Neural Network
Electric power load forecasting is very important for the operation and the planning of a utility company. Decisions of the electric market, electric...
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Synchronous Perfectly Secure Message Transmission with Optimal Asynchronous Fallback Guarantees
Secure message transmission (SMT) constitutes a fundamental network-layer building block for distributed protocols over incomplete networks. More...
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To Possess or Not to Possess - WhatsApp for Android Revisited with a Focus on Stickers
WhatsApp stickers are a popular hybrid of images and emoticons that can contain user-created content. Stickers are mostly sent for legitimate...
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Nonlinear DIP-DiracVTV Model for Color Image Restoration
Variational models for inverse problems are mainly based on the choice of the regularizer, whose goal is to give the solutions some desirable...