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Publication search results
found 60 matches
- 2024
- Gulsum Alicioglu, Bo Sun:
Use Bag-of-Patterns Approach to Explore Learned Behaviors of Reinforcement Learning. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 41-48 - André Artelt, Andreas Gregoriades:
A Two-Stage Algorithm for Cost-Efficient Multi-instance Counterfactual Explanations. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 233-240 - Eduard Barbu, Marharyta Domnich, Raul Vicente, Nikos Sakkas:
Exploring Commonalities in Explanation Frameworks: A Multi-Domain Survey Analysis. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 153-160 - Laura Bergomi:
Fostering Human-AI interaction: development of a Clinical Decision Support System enhanced by eXplainable AI and Natural Language Processing. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 321-328 - Giovanni Bocchi, Patrizio Frosini, Alessandra Micheletti, Alessandro Pedretti, Gianluca Palermo, Davide Gadioli, Carmen Gratteri, Filippo Lunghini, Andrea Rosario Beccari, Anna Fava, Carmine Talarico:
A geometric XAI approach to protein pocket detection. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 217-224 - Marta Caro-Martínez, Anne Liret, Belén Díaz-Agudo, Juan A. Recio-García, Jesus M. Darias, Nirmalie Wiratunga, Anjana Wijekoon, Kyle Martin, Ikechukwu Nkisi-Orji, David Corsar, Chamath Palihawadana, Craig Pirie, Derek G. Bridge, Preeja Pradeep, Bruno Fleisch:
Building Personalised XAI Experiences Through iSee: a Case-Based Reasoning-Driven Platform. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 313-320 - Arjun Vinayak Chikkankod, Luca Longo:
A proposal for improving EEG microstate generation via interpretable deep clustering with convolutional autoencoders. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 25-32 - Riccardo Crupi, Daniele Regoli, Alessandro Damiano Sabatino, Immacolata Marano, Massimiliano Brinis, Luca Albertazzi, Andrea Cirillo, Andrea Claudio Cosentini:
Unraveling Anomalies: Explaining Outliers with DTOR. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 257-264 - Susanne Dandl, Marc Becker, Bernd Bischl, Giuseppe Casalicchio, Ludwig Bothmann:
mlr3summary: Concise and interpretable summaries for machine learning models. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 281-288 - Danilo Danese:
Optimizing Synthetic Data from Scarcity: Towards Meaningful Data Generation in High-Dimensional Low-Sample Size Domains. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 329-336 - Oleksandr Davydko:
Assesing the Interpretability of the Statistical Radiomic Features via Image Saliency Maps in Medical Image Classification Tasks. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 337-344 - Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Marc Langheinrich:
AnyCBMs: How to Turn Any Black Box into a Concept Bottleneck Model. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 81-88 - Regina De Brito Duarte:
Explainable AI as a Crucial Factor for Improving Human-AI Decision-Making Processes. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 345-352 - Renate Ernst:
Counterfactual generating Variational Autoencoder for Anomaly Detection. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 353-360 - Fatima Ezzeddine:
Privacy Implications of Explainable AI in Data-Driven Systems. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 361-368 - Ladan Gholami, Pietro Ducange, Pietro Cassarà, Alberto Gotta:
Channel Modeling for Millimeter-Wave UAV Communication based on Explainable Generative Neural Network. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 177-184 - Rokas Gipiskis:
XAI-driven Model Improvements in Interpretable Image Segmentation. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 369-376 - Paolo Giudici, Parvati Neelakantan:
Shapley values and fairness. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 9-16 - Paolo Giudici, Giulia Vilone:
Model agnostic calibration of image classifiers. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 57-64 - Jérôme Guzzi, Alessandro Giusti:
Human-in-the-loop testing of the explainability of robot navigation algorithms in extended reality. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 297-304 - Iris Heerlien:
Design Guidelines for XAI in the Healthcare Domain. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 377-384 - Leon Hegedic, Luka Hobor, Nikola Maric, Martin Ante Rogosic, Mario Brcic:
Towards Mechanistic Interpretability for Autoencoder compression of EEG signals. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 97-104 - Annemarie Jutte:
Explainable MLOps: A Methodological Framework for the Development of Explainable AI in Practice. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 385-392 - Marija Kopanja:
A Novel Model-Agnostic xAI Method Guided by Cost-Sensitive Tree Models and Argumentative Decision Graphs. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 393-400 - Stefanie Krause:
Explainable Artificial Intelligence and Reasoning in the Context of Large Neural Network Models. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 401-408 - Lea Louisa Kronziel:
Artificial Representative Trees as Interpretable Surrogates for Random Forests. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 409-416 - Felix Liedeker, Christoph Düsing, Marcel Nieveler, Philipp Cimiano:
An Empirical Investigation of Users' Assessment of XAI Explanations: Identifying the Sweet Spot of Explanation Complexity and Value. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 225-232 - Yuwei Liu, Chen Dan, Anubhav Bhatti, Bingjie Shen, Divij Gupta, Suraj Parmar, San Lee:
Interpretable Vital Sign Forecasting with Model Agnostic Attention Maps. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 113-120 - Ondrej Lukás, Sebastian Garcia:
Exploring Agent Behaviors in Network Security through Trajectory Clustering. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 209-216 - Luca Macis, Marco Tagliapietra, Alessandro Castelnovo, Daniele Regoli, Greta Greco, Andrea Claudio Cosentini, Paola Pisano, Edoardo Carroccetto:
Integrating XAI for Predictive Conflict Analytics. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2024: 105-112
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