Search Results - "Bouchachia, A."

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  1. 1

    Online active learning for human activity recognition from sensory data streams by Mohamad, Saad, Sayed-Mouchaweh, Moamar, Bouchachia, Abdelhamid

    Published in Neurocomputing (Amsterdam) (21-05-2020)
    “…Human activity recognition (HAR) is highly relevant to many real-world domains like safety, security, and in particular healthcare. The current machine…”
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    Journal Article
  2. 2

    Active learning for classifying data streams with unknown number of classes by Mohamad, Saad, Sayed-Mouchaweh, Moamar, Bouchachia, Abdelhamid

    Published in Neural networks (01-02-2018)
    “…The classification of data streams is an interesting but also a challenging problem. A data stream may grow infinitely making it impractical for storage prior…”
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    Journal Article
  3. 3

    A Bi-Criteria Active Learning Algorithm for Dynamic Data Streams by Mohamad, Saad, Bouchachia, Abdelhamid, Sayed-Mouchaweh, Moamar

    “…Active learning (AL) is a promising way to efficiently build up training sets with minimal supervision. A learner deliberately queries specific instances to…”
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    Journal Article
  4. 4

    Data Clustering with Partial Supervision by BOUCHACHIA, ABDELHAMID, PEDRYCZ, WITOLD

    Published in Data mining and knowledge discovery (01-01-2006)
    “…Clustering with partial supervision finds its application in situations where data is neither entirely nor accurately labeled. This paper discusses a…”
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    Journal Article
  5. 5

    Learning with hybrid data by Bouchachia, A.

    “…Learning with hybrid data aims at inducing a classifier that learns from partly labeled data. In this paper, four semi-supervised learning (SSL) methods are…”
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    Conference Proceeding
  6. 6

    Nature-inspired techniques for conformance testing of object-oriented software by Bouchachia, A., Mittermeir, R., Sielecky, P., Stafiej, S., Zieminski, M.

    Published in Applied soft computing (01-06-2010)
    “…Soft computing offers a plethora of techniques for dealing with hard optimization problems. In particular, nature based techniques have been shown to be very…”
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    Journal Article
  7. 7

    A neural cascade architecture for document retrieval by Bouchachia, A., Mittermeir, R.

    “…This paper describes a fuzzy neural approach adopted for information retrieval. After a thematic analysis of documents that produces two conceptual sets called…”
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    Conference Proceeding
  8. 8
  9. 9

    Supporting Crisis Management via Sub-event Detection in Social Networks by Pohl, D., Bouchachia, A., Hellwagner, H.

    “…Social networks give the opportunity to gather and share knowledge about a situation of relevance. This so called user-generated content is getting…”
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    Conference Proceeding
  10. 10

    Incremental identification of topological errors in spatial data by Prossegger, M., Bouchachia, A.

    “…This paper proposes a semi-automatic decision tree approach to identify topological errors within spatial data. In contrast to the identification of incorrect…”
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    Conference Proceeding
  11. 11

    Incremental induction of fuzzy classification rules by Bouchachia, A.

    “…The present paper presents an incremental fuzzy rule based system for classification purposes. Relying on fuzzy min-max neural networks, the present paper…”
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    Conference Proceeding
  12. 12

    An Immune Genetic Algorithm for Software Test Data Generation by Bouchachia, A.

    “…This paper aims at incorporating immune operators in genetic algorithms as an advanced method for solving the problem of test data generation. The new proposed…”
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    Conference Proceeding
  13. 13

    Incremental Learning Based on Growing Gaussian Mixture Models by Bouchachia, A., Vanaret, C.

    “…Incremental learning aims at equipping data-driven systems with self-monitoring and self-adaptation mechanisms to accommodate new data in an online setting…”
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    Conference Proceeding
  14. 14

    Incremental Learning By Decomposition by Bouchachia, A.

    “…Adaptivity in neural networks aims at equipping learning algorithms with the ability to self-update as new training data becomes available. In many…”
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    Conference Proceeding
  15. 15

    Overview of Some Incremental Learning Algorithms by Bouchachia, A., Gabrys, B., Sahel, Z.

    “…Incremental learning (IL) plays a key role in many real-world applications where data arrives over time. It is mainly concerned with learning models in an…”
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    Conference Proceeding
  16. 16

    Automatic Identification of Crisis-Related Sub-events Using Clustering by Pohl, D., Bouchachia, A., Hellwagner, H.

    “…Social media are becoming an important instrument for supporting crisis management, due to their broad acceptance and the intensive usage of mobile devices for…”
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    Conference Proceeding
  17. 17

    Clustering of multi-source data by Bouchachia, A

    “…Due to the advent of pervasive and distributed computing, the shift in data processing paradigms is quite visible in many applications (e.g., communication,…”
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    Conference Proceeding
  18. 18

    On the Scarcity of Labeled Data by Bouchachia, A.

    “…Scarcity of labeled data can be encountered in various engineering applications due to several factors. This raises the question of how to generate sufficient…”
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    Conference Proceeding
  19. 19

    A bi-clustering agent-based approach for map segmentation by Bouchachia, A., Prossegger, M.

    Published in 2009 IEEE Symposium on Intelligent Agents (01-03-2009)
    “…The present paper introduces an agent-based approach for clustering geographical data. In this approach, a multi-agent architecture is proposed. It consists of…”
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    Conference Proceeding
  20. 20

    Classification of XML Documents by Bouchachia, A., Hassler, M.

    “…With the explosion of XML-based online documents, the task of knowledge discovery from the Web becomes highly significant. As an appropriate machinery,…”
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    Conference Proceeding