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- 27Zaiane, Osmar (Computing Science)
- 1Goebel, Randy (Computing Science)
- 1Gross, Douglas (Physical Therapy)
- 1Hu, Bryan (Electrical and Computer Engineering)
- 1Largeron, Christine (Computing Science)
- 1Largeron, Christine (Université Jean Monnet)
- 1Abnar, Afra
- 1Adilmagambetov, Aibek
- 1Ahmed, Farrukh
- 1Bushi, Samuel Suraj
- 1Chen, Jiyang
- 1Dziri, Nouha
- 3Machine Learning
- 2Association Rules
- 2Associative Classification
- 1Animal Species Identification
- 1Anomaly detection
Conversation plays a key role in maintaining humans well-being. It constitutes the most natural way of interacting verbally with each other. Over the past decade, dialogue systems have become omnipresent in our daily lives, assisting our daily schedule and routine. Recently, the emergence of...
This thesis work presents a novel and efficient circuit similarity algorithm to detect topological similarity between two circuits. Targeting placement, our proposed circuit similarity algorithm, namely CSBP, is able to significantly accelerate placement based on this similarity. Moreover,...
Loneliness among the elderly is a growing problem in today's society. Many of them live in isolation either due to their ailments or losing loved ones. Measures need to be taken to improve the living condition of these people. We propose a system that engages in meaningful conversation with the...
Advantage of Integration in Big Data: Feature Generation in Multi-Relational Databases for Imbalanced LearningDownload
Most data mining and machine learning techniques rely on a single flat table and assume balanced training data. However, most real-world applications comprise databases having multiple tables and imbalanced data. It becomes further complicated in the realm of Big Data where related information is...
The classification of animal images based on camera trapping data is an important and challenging task in the domains of computer vision, machine learning and ecological management. This thesis presents an animal species identification system that can automatically identify the species of an...
Several research projects explore the application of uncertain databases which contain probabilistic attributes. Uncertainty in data can be caused by inherent randomness, imprecision in measuring equipment, ambiguity, information extraction from unstructured data, etc. The classification and...
With the large presence of organizations from different sectors of economy on the web, the problem of detecting which sector a given website belongs to is both important and challenging. We study the problem of classifying websites into four non-topical categories: public, private, non-profit and...
Many structures in different areas of science can be modeled with graphs containing nodes and edges, which represent the entities of the model and the relationship between them, respectively. Community detection and discovery are two important tasks in Social Network Analysis, which try to find...
With the burgeoning of online social media and the deluge of information in today's "big data" era, traditional community mining that relies on the connections of the nodes no longer suffices to find communities where the attributes of these nodes play an important role. Though vast research has...
Much structured data of scientific interest can be represented as networks, where sets of nodes or vertices are joined together in pairs by links or edges. Although these networks may belong to different research areas, there is one property that many of them do have in common: the network...