Machine Learning and Principles and Practice of Knowledge Discovery in Databases

.- 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.