| An Ethico-Legal Framework For Social Data Science (Vol 11, Pg 377, 2021) | 0 | 0.34 | 2021 |
| GLocalX - From Local to Global Explanations of Black Box AI Models | 1 | 0.34 | 2021 |
| An Ethico-Legal Framework For Social Data Science | 0 | 0.34 | 2021 |
| Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II. | 0 | 0.34 | 2021 |
| Privacy Risk Assessment of Individual Psychometric Profiles. | 0 | 0.34 | 2021 |
| From depression to suicidal discourse on Reddit. | 0 | 0.34 | 2021 |
| TRIPLEx: Triple Extraction for Explanation | 0 | 0.34 | 2021 |
| Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I. | 0 | 0.34 | 2021 |
| Deriving a Single Interpretable Model by Merging Tree-Based Classifiers. | 1 | 0.37 | 2021 |
| Predicting and Explaining Privacy Risk Exposure in Mobility Data. | 0 | 0.34 | 2020 |
| Explaining Image Classifiers Generating Exemplars And Counter-Exemplars From Latent Representations | 0 | 0.34 | 2020 |
| Explaining Any Time Series Classifier | 0 | 0.34 | 2020 |
| ECML PKDD 2020 Workshops - Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14-18, 2020, Proceedings. | 0 | 0.34 | 2020 |
| Authenticated Outlier Mining for Outsourced Databases | 1 | 0.34 | 2020 |
| PRIMULE: Privacy risk mitigation for user profiles | 1 | 0.35 | 2020 |
| ECML PKDD 2018 Workshops - MIDAS 2018 and PAP 2018, Dublin, Ireland, September 10-14, 2018, Proceedings | 0 | 0.34 | 2019 |
| Factual and Counterfactual Explanations for Black Box Decision Making. | 13 | 0.61 | 2019 |
| Global Explanations with Local Scoring. | 1 | 0.40 | 2019 |
| ECML PKDD 2018 Workshops - Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Dublin, Ireland, September 10-14, 2018, Proceedings | 0 | 0.34 | 2019 |
| ECML PKDD 2018 Workshops - DMLE 2018 and IoTStream 2018, Dublin, Ireland, September 10-14, 2018, Revised Selected Papers | 0 | 0.34 | 2019 |
| A Survey Of Methods For Explaining Black Box Models. | 25 | 0.90 | 2019 |
| Meaningful Explanations of Black Box AI Decision Systems | 2 | 0.41 | 2019 |
| Explainable AI. | 0 | 0.34 | 2019 |
| The AI Black Box Explanation Problem. | 0 | 0.34 | 2019 |
| Analyzing Privacy Risk in Human Mobility Data. | 0 | 0.34 | 2018 |
| Open the Black Box Data-Driven Explanation of Black Box Decision Systems. | 0 | 0.34 | 2018 |
| Discovering temporal regularities in retail customers' shopping behavior. | 4 | 0.38 | 2018 |
| Exploring Students Eating Habits Through Individual Profiling and Clustering Analysis. | 0 | 0.34 | 2018 |
| Privacy Risk for Individual Basket Patterns. | 0 | 0.34 | 2018 |
| A Data Mining Approach to Assess Privacy Risk in Human Mobility Data. | 1 | 0.34 | 2018 |
| Prudence: A System For Assessing Privacy Risk Vs Utility In Data Sharing Ecosystems | 1 | 0.34 | 2018 |
| Local Rule-Based Explanations of Black Box Decision Systems. | 5 | 0.40 | 2018 |
| Learning Data Mining. | 0 | 0.34 | 2018 |
| Clustering Individual Transactional Data for Masses of Users | 1 | 0.35 | 2017 |
| Privacy Preserving Multidimensional Profiling. | 0 | 0.34 | 2017 |
| MyWay: Location prediction via mobility profiling | 12 | 0.51 | 2017 |
| Fast Estimation of Privacy Risk in Human Mobility Data. | 2 | 0.35 | 2017 |
| Driving Profiles Computation and Monitoring for Car Insurance CRM. | 1 | 0.37 | 2016 |
| Unveiling mobility complexity through complex network analysis. | 0 | 0.34 | 2016 |
| Privacy-Preserving Outsourcing of Pattern Mining of Event-Log Data - A Use-Case from Process Industry | 0 | 0.34 | 2016 |
| Quantification in social networks | 3 | 0.38 | 2015 |
| Discrimination- and privacy-aware patterns | 23 | 0.92 | 2015 |
| Clustering Formulation Using Constraint Optimization. | 2 | 0.41 | 2015 |
| Fair pattern discovery | 0 | 0.34 | 2014 |
| Retrieving Points of Interest from Human Systematic Movements. | 2 | 0.41 | 2014 |
| A Privacy Risk Model for Trajectory Data. | 8 | 0.57 | 2014 |
| Privacy-by-design in big data analytics and social mining | 10 | 0.86 | 2014 |
| Anonymity preserving sequential pattern mining | 4 | 0.41 | 2014 |
| Multidimensional networks: foundations of structural analysis | 46 | 1.69 | 2013 |
| Privacy-Preserving Distributed Movement Data Aggregation. | 8 | 0.76 | 2013 |
