- 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.