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Returners and explorers dichotomy in human mobility

Nature communications, 2015-09, Vol.6 (1), p.8166-8166, Article 8166

2015

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Unveiling the complexity of human mobility by querying and mining massive trajectory data

The VLDB journal, 2011-10, Vol.20 (5), p.695-719

2011

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NDlib: a python library to model and analyze diffusion processes over complex networks

International journal of data science and analytics, 2018-02, Vol.5 (1), p.61-79

2018

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Predicting seasonal influenza using supermarket retail records

PLoS computational biology, 2021-07, Vol.17 (7), p.e1009087-e1009087

2021

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Towards Transparent Healthcare: Advancing Local Explanation Methods in Explainable Artificial Intelligence

Bioengineering (Basel), 2024-04, Vol.11 (4), p.369

2024

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Advancing Dermatological Diagnostics: Interpretable AI for Enhanced Skin Lesion Classification

Diagnostics (Basel), 2024-04, Vol.14 (7), p.753

2024

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Give more data, awareness and control to individual citizens, and they will help COVID-19 containment

Ethics and information technology, 2021, Vol.23 (Suppl 1), p.1-6

2021

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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

1, 2022

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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

1, 2022

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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

2021

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Benchmarking and survey of explanation methods for black box models

Data mining and knowledge discovery, 2023-09, Vol.37 (5), p.1719-1778

2023

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Leveraging spatial abstraction in traffic analysis and forecasting with visual analytics

Information systems (Oxford), 2016-04, Vol.57, p.172-194

2016

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From Tweets to Semantic Trajectories: Mining Anomalous Urban Mobility Patterns

Citizen in Sensor Networks, 2014, p.26-35

2014

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Human Mobility Modelling: Exploration and Preferential Return Meet the Gravity Model

Procedia computer science, 2016, Vol.83, p.934-939

2016

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Scalable Analysis of Movement Data for Extracting and Exploring Significant Places

IEEE transactions on visualization and computer graphics, 2013-07, Vol.19 (7), p.1078-1094

2013

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Understanding the patterns of car travel

The European physical journal. ST, Special topics, 2013, Vol.215 (1), p.61-73

2013

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Co-design of Human-centered, Explainable AI for Clinical Decision Support

ACM transactions on interactive intelligent systems, 2023-12, Vol.13 (4), p.1-35, Article 21

2023

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Amplified Contribution Analysis for Federated Learning

Advances in Intelligent Data Analysis XXII, p.68-79

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A Novel Approach to Evaluate Community Detection Algorithms on Ground Truth

Complex Networks VII, p.133-144

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Privacy-by-design in big data analytics and social mining

EPJ data science, 2014-12, Vol.3 (1), p.10, Article 10

2014

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Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling

2021 IEEE Symposium on Computers and Communications (ISCC), 2021, p.1-7

2021

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Improving trust and confidence in medical skin lesion diagnosis through explainable deep learning

International journal of data science and analytics, 2023-06

2023

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Boosting Ride Sharing With Alternative Destinations

IEEE transactions on intelligent transportation systems, 2018-07, Vol.19 (7), p.2290-2300

2018

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Interactive visual clustering of large collections of trajectories

2009 IEEE Symposium on Visual Analytics Science and Technology, 2009, p.3-10

2009

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Returners and explorers dichotomy in human mobility

Unveiling the complexity of human mobility by querying and mining massive trajectory data

NDlib: a python library to model and analyze diffusion processes over complex networks

Predicting seasonal influenza using supermarket retail records

Towards Transparent Healthcare: Advancing Local Explanation Methods in Explainable Artificial Intelligence

Advancing Dermatological Diagnostics: Interpretable AI for Enhanced Skin Lesion Classification

Give more data, awareness and control to individual citizens, and they will help COVID-19 containment

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

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

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

Benchmarking and survey of explanation methods for black box models

Leveraging spatial abstraction in traffic analysis and forecasting with visual analytics

From Tweets to Semantic Trajectories: Mining Anomalous Urban Mobility Patterns

Human Mobility Modelling: Exploration and Preferential Return Meet the Gravity Model

Interpretable Machine Learning – A Brief History, State-of-the-Art and Challenges

Scalable Analysis of Movement Data for Extracting and Exploring Significant Places

Understanding the patterns of car travel

Co-design of Human-centered, Explainable AI for Clinical Decision Support

Amplified Contribution Analysis for Federated Learning

A Novel Approach to Evaluate Community Detection Algorithms on Ground Truth

Privacy-by-design in big data analytics and social mining

Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling

Improving trust and confidence in medical skin lesion diagnosis through explainable deep learning

Boosting Ride Sharing With Alternative Destinations

Interactive visual clustering of large collections of trajectories

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