67 Result(s)

Article

Fast local community discovery relying on the strength of links

Community detection methods aim to find nodes connected to each other more than other nodes in a graph. As they explore the entire network, global methods suffer from severe limitations when handling large net...

Mohammadmahdi Zafarmand, Yashar Talebirad… in Social Network Analysis and Mining (2023)

Chapter and Conference Paper

Contrastive Reasons Detection and Clustering from Online Polarized Debates

This work tackles the problem of unsupervised modeling and extraction of the main contrastive sentential reasons conveyed by divergent viewpoints on polarized issues. It proposes a pipeline approach centered a...

Amine Trabelsi, Osmar R. Zaïane in Computational Linguistics and Intelligent … (2023)

Chapter and Conference Paper

Explaining Decisions of Black-Box Models Using BARBE

Machine learning models are ubiquitous today in most application domains and are often taken for granted. While integrated into many systems, oftentimes even unnoticed by the user, these powerful models freque...

Mohammad Motallebi, Md Tanvir Alam Anik… in Database and Expert Systems Applications (2023)

Chapter

AI Applied to Air Pollution and Environmental Health: A Case Study on Hypothesis Generation

Exposure to pollution in the environment is a major contributor to disease globally and is a topic of great significance. There remains, however, a dearth of knowledge about the levels and distribution of airb...

Colin Bellinger, Mohomed Shazan Mohomed Jabbar, Osnat Wine… in Humanity Driven AI (2022)

Chapter and Conference Paper

Hierarchical Topic Model Inference by Community Discovery on Word Co-occurrence Networks

The most popular topic modelling algorithm, Latent Dirichlet Allocation, produces a simple set of topics. However, topics naturally exist in a hierarchy with larger, more general super-topics and smaller, more...

Eric Austin, Amine Trabelsi, Christine Largeron, Osmar R. Zaïane in Data Mining (2022)

Article

Framework for extreme imbalance classification: SWIM—sampling with the majority class

The class imbalance problem is a pervasive issue in many real-world domains. Oversampling methods that inflate the rare class by generating synthetic data are amongst the most popular techniques for resolving ...

Colin Bellinger, Shiven Sharma, Nathalie Japkowicz… in Knowledge and Information Systems (2020)

Chapter and Conference Paper

Generating Responses Expressing Emotion in an Open-Domain Dialogue System

Neural network-based Open-ended conversational agents automatically generate responses based on predictive models learned from a large number of pairs of utterances. The generated responses are typically accep...

Chenyang Huang, Osmar R. Zaïane in Internet Science (2019)

Chapter and Conference Paper

Neighbor-Based Link Prediction with Edge Uncertainty

In this work, we are concerned with uncertain networks and focus on the problem of link prediction with edge uncertainty. Networks with edge uncertainty are networks where connections between nodes are observed w...

Chi Zhang, Osmar R. Zaïane in Advances in Knowledge Discovery and Data Mining (2019)

Article

Discovering co-location patterns with aggregated spatial transactions and dependency rules

Co-location pattern mining focuses on finding associations among spatial features. Existing co-location pattern mining techniques mainly rely on frequency based thresholds which discard the rare patterns and f...

Mohomed Shazan Mohomed Jabbar… in International Journal of Data Science and … (2018)

Chapter and Conference Paper

Sequence-Based Approaches to Course Recommender Systems

The scope and order of courses to take to graduate are typically defined, but liberal programs encourage flexibility and may generate many possible paths to graduation. Students and course counselors struggle ...

Ren Wang, Osmar R. Zaïane in Database and Expert Systems Applications (2018)

Reference Work Entry In depth

Relative Validity Criteria for Community Mining Algorithms

Reihaneh Rabbany, Mansoreh Takaffoli… in Encyclopedia of Social Network Analysis an… (2018)

Living Reference Work Entry In depth

Relative Validity Criteria for Community Mining Algorithms

Reihaneh Rabbany, Mansoreh Takaffoli… in Encyclopedia of Social Network Analysis an…

Article

On discovering co-location patterns in datasets: a case study of pollutants and child cancers

We intend to identify relationships between cancer cases and pollutant emissions by proposing a novel co-location mining algorithm. In this context, we specifically attempt to understand whether there is a rel...

Jundong Li, Aibek Adilmagambetov, Mohomed Shazan Mohomed Jabbar… in GeoInformatica (2016)

Article

Mining contentious documents

This work proposes an unsupervised method intended to enhance the quality of opinion mining in contentious text. It presents a Joint Topic Viewpoint (JTV) probabilistic model to analyze the underlying divergen...

Amine Trabelsi, Osmar R. Zaïane in Knowledge and Information Systems (2016)