Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Wael Alkhatib"'
Autor:
Wael Alkhatib, Christoph Rensing
Publikováno v:
Advances in Analytics for Learning and Teaching ISBN: 9783030410988
With the tremendous proliferation of scientific literature and research papers published every year, fulfilling a comprehensive literature overview became a tedious and time-consuming task. Citation recommendation is considerably important to improve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23d740a7bb93b6c3fb2f8474a1faec1c
https://doi.org/10.1007/978-3-030-41099-5_10
https://doi.org/10.1007/978-3-030-41099-5_10
Publikováno v:
SAC
In the search for matching jobs, more and more people rely on online services such as job search engines. Job search engines provide the possibilities of searching for certain keywords and maintaining domain related filters like the location or the s
Publikováno v:
Knowledge Science, Engineering and Management ISBN: 9783030295622
KSEM (2)
KSEM (2)
Traditional multi-label text classifiers suffer from the high dimensionality of feature space, label imbalance, and training overhead. In this work, we depart from traditional approaches with intensive feature engineering and linguistic analysis by i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f20a73f6d3165d08c9a3f5dbf952760
https://doi.org/10.1007/978-3-030-29563-9_10
https://doi.org/10.1007/978-3-030-29563-9_10
Publikováno v:
Natural Language Processing and Information Systems ISBN: 9783319919461
NLDB
NLDB
In the under-explored research area of multi-label text classification. Substantial amount of research in adapting and transforming traditional classifiers to directly handle multi-label datasets has taken place. The performance of traditional statis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec2c3aa2ce9ef232cc04b752617fda4a
https://doi.org/10.1007/978-3-319-91947-8_40
https://doi.org/10.1007/978-3-319-91947-8_40
Publikováno v:
Lifelong Technology-Enhanced Learning ISBN: 9783319985718
EC-TEL
EC-TEL
In this paper, we present an innovative approach for learning resources recommendation. The approach takes into account users’ short and long-term interests while ensuring transparency in explaining why a resource is recommended. Our approach relie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b507a07819d81e5c5265f1640b0ab3f6
https://doi.org/10.1007/978-3-319-98572-5_56
https://doi.org/10.1007/978-3-319-98572-5_56
Publikováno v:
Advances in Computational Intelligence ISBN: 9783319591469
IWANN (2)
IWANN (2)
Short-term forecasting models on the micro-grid level help guaranteeing the cost-effective dispatch of available resources and maintaining shortfalls and surpluses to a minimum in the spot market. In this paper, we introduce two time series models fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80ee1dcc4426aeed7ceb137191e399b5
https://doi.org/10.1007/978-3-319-59147-6_10
https://doi.org/10.1007/978-3-319-59147-6_10
Publikováno v:
KEOD
Scopus-Elsevier
Scopus-Elsevier
Publikováno v:
Advances in Computational Intelligence ISBN: 9783319591520
IWANN (1)
IWANN (1)
After the electricity liberalization in Europe, the electricity market moved to a more competitive supply market with higher efficiency in power production. As a result of this competitiveness, accurate models for forecasting long-term power consumpt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df5738bbea2e0ff8faa60751b38c722a
https://doi.org/10.1007/978-3-319-59153-7_57
https://doi.org/10.1007/978-3-319-59153-7_57
Publikováno v:
Pattern Recognition and Image Analysis ISBN: 9783319588377
IbPRIA
IbPRIA
Multi-biometrics aims at building more accurate unified biometric decisions based on the information provided by multiple biometric sources. Information fusion is used to optimize the process of creating this unified decision. In previous works deali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::111b0e583dc2739dc834acc3e4aa8795
https://doi.org/10.1007/978-3-319-58838-4_54
https://doi.org/10.1007/978-3-319-58838-4_54
Autor:
Wael Alkhatib, Moazzam Butt
Publikováno v:
Computational Forensics ISBN: 9783319201245
IWCF
IWCF
Biometric recognition techniques have been widely employed in numerous applications, such as access control, identity check etc. In this paper we propose a method for protecting personal identity documents against forgery by using 2D face image on th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8c462b8c3b58a5472a3ecd14f389361e
https://doi.org/10.1007/978-3-319-20125-2_4
https://doi.org/10.1007/978-3-319-20125-2_4