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ORCIDWael Alkhatib
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2010 – 2019
- 2019
[c11]Wael Alkhatib, Steffen Schnitzer, Christoph Rensing:
Training-Less Multi-label Text Classification Using Knowledge Bases and Word Embeddings. KSEM (2) 2019: 97-104- [c10]Steffen Schnitzer, Dominik Reis, Wael Alkhatib, Christoph Rensing
, Ralf Steinmetz:
Preselection of documents for personalized recommendations of job postings based on word embeddings. SAC 2019: 1683-1686 - 2018
- [c9]Wael Alkhatib, Eid Araache, Christoph Rensing, Steffen Schnitzer:
Ensuring Novelty and Transparency in Learning Resource-Recommendation Based on Deep Learning Techniques. EC-TEL 2018: 609-612 - [c8]Wael Alkhatib, Saba Sabrin, Svenja Neitzel, Christoph Rensing:
Towards Ontology-Based Training-Less Multi-label Text Classification. NLDB 2018: 389-396 - 2017
- [c7]Naser Damer, Wael Alkhatib, Andreas Braun, Arjan Kuijper:
Neighbor Distance Ratios and Dynamic Weighting in Multi-biometric Fusion. IbPRIA 2017: 491-500 - [c6]Wael Alkhatib, Leon Alexander Herrmann, Christoph Rensing:
Onto.KOM - Towards a Minimally Supervised Ontology Learning System based on Word Embeddings and Convolutional Neural Networks. KEOD 2017: 17-26 - [c5]Wael Alkhatib, Alaa Alhamoud, Doreen Böhnstedt, Ralf Steinmetz:
Hybrid Models for Short-Term Load Forecasting Using Clustering and Time Series. IWANN (2) 2017: 104-115 - [c4]Wael Alkhatib, Alaa Alhamoud, Doreen Böhnstedt, Ralf Steinmetz:
Hybrid Model for Large Scale Forecasting of Power Consumption. IWANN (1) 2017: 661-672 - [c3]Wael Alkhatib, Christoph Rensing, Johannes Silberbauer:
Multi-label Text Classification Using Semantic Features and Dimensionality Reduction with Autoencoders. LDK 2017: 380-394 - 2016
- [c2]Wael Alkhatib, Christoph Rensing:
Towards a Classification of Learning Support Systems at the Digitized Workplace. DeLFI Workshops 2016: 188-194 - 2014
- [c1]Moazzam Butt, Wael Alkhatib:
Robust 2D Face Recognition Under Different Illuminations Using Binarized Partial Face Features: Towards Protecting ID Documents. IWCF 2014: 31-43
Coauthor Index
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