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Author:   Rosa Meo ,  Fabrizio Silvestri
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2025 ed.
Volume:   2134
ISBN:  

9783031746260

ISBN 10:   3031746260
Pages:   539
Publication Date:   01 January 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

.- RKDE 2023: 1st International Tutorial and Workshop on Responsible Knowledge Discovery in Education. .- PICA: A Data-driven Synthesis of Peer Instruction and Continuous Assessment. .- The ChatGPT and Education Tweets Dataset. .- A Fair Post-Processing Method based on the MADD Metric for Predictive Student Models. .- Distractor generation for multiple-choice questions with predictive prompting and large language models. .- Towards Personalized Educational Materials: Mapping Student Knowledge through Natural Language Processing. .-  A 2-step methodology for XAI in education. .- Consolidation and Transmission of Multiple xAPI Data Sources from Virtual Learning Environments to Different Learning Record Stores . .- SoGood 2023 – 8th Workshop on Data Science for Social Good. .- Efficient and general text classification: An Active Learning approach. .- Identifying Features of Constructive Journalism in News Articles: An Explainable ML Approach. .- Anomaly Detection in Pet Behavioral Data. .- Detecting sexually explicit content in the context of the child sexual abuse materials (CSAM): end-to-end classifiers and region-based networks. .- PrivateCTGAN: Adapting GAN for Privacy-aware Tabular Data Sharing. .- Data Science for Fighting Environmental Crime. .- Fairness Analysis in Causal Models: An Application to Public Procurement. .- Exploring the Generalizability of Transfer Learning for Camera Trap Animal Image Classification. .- Towards Hybrid Human-Machine Learning and Decision Making (HLDM). .- Towards a hybrid human-machine discovery of complex movement patterns. .- Trustworthy Hybrid Decision Making. .- Optimizing delegation between human and AI collaborative agents. .- Exploring the Risks of General-Purpose AI: The Role of Nearsighted Goals and the Brain's Reward Mechanism in Processes of Decision Makings. .- Towards synergistic human-AI collaboration in hybrid decision-making systems. .- On the Challenges and Practices of Reinforcement Learning from Real Human Feedback. .- Conversational XAI: Formalizing its Basic Design Principles. .- TCuPGAN: A novel framework developed for optimizing human-machine interactions in citizen science. .- A Crossroads for Hybrid Human-Machine decision-making. .- Enhancing Fairness, Justice and Accuracy of Hybrid Human AI Decisions by Shifting Epistemological Stances. .- Interpreting Dynamic Causal Model Policies. .- Uncertainty meets explainability in machine learning. .- Relation of Activity and Confidence when Training Deep Neural Networks. .- Explaining an image classifier with a GAN conditioned by uncertainty. .- Identifying Trends in Feature Attributions during Training of Neural Networks. .- Using Stochastic Methods to Setup High Precision Experiments. .- Designing a Method to Identify Explainability Requirements in Cancer Research. .- Explainable Learning with Hierarchical Online Deterministic Annealing. .- Explaining uncertainty in AI for clinical decision support systems. .- Towards Explainability in Monocular Depth Estimation. .- Using Part-based Representations for Explainable Deep Reinforcement Learning. .- Regionally Additive Models: Explainable-by-design models minimizing feature interactions. .- FALE: Fairness aware ALE plots for auditing bias in subgroups. .- Workshop: Deep Learning and Multimedia Forensics. Combating fake media and misinformation. .- Tracing Videos to their Social Network with Robust DCT Analysis. .- All-for-One and One-For-All: Deep learning-based feature fusion for Synthetic Speech Detection. .- Improving Tiled Evolutionary Adversarial Attack. .- Adversarial Magnification to Deceive Deepfake Detection through Super Resolution. .- DivNoise: A Data Collection for Source Identification on Diverse Camera Sensors. .- Detecting Face Synthesis Using a Concealed Fusion Model. .- Adversarial Data Poisoning for Fake News Detection: How to Make a Model Misclassify a Target News without Modifying It. .- Towards a Fine-Grained Threat Model for Video-Based Remote Identity Proofing.

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