Robust 2D Face Recognition Under Different Illuminations Using Binarized Partial Face Features: Towards Protecting ID Documents. - Moazzam Butt; Wael Alkhatib (IWCF, 2014)

Towards a Classification of Learning Support Systems at the Digitized Workplace. - Wael Alkhatib; Christoph Rensing (DeLFI Workshops, 2016)

Neighbor Distance Ratios and Dynamic Weighting in Multi-biometric Fusion. - Naser Damer; Wael Alkhatib; Andreas Braun 001; Arjan Kuijper (IbPRIA, 2017)

Onto.KOM - Towards a Minimally Supervised Ontology Learning System based on Word Embeddings and Convolutional Neural Networks. - Wael Alkhatib; Leon Alexander Herrmann; Christoph Rensing (KEOD, 2017)

Hybrid Model for Large Scale Forecasting of Power Consumption. - Wael Alkhatib; Alaa Alhamoud; Doreen Böhnstedt; Ralf Steinmetz (IWANN (1), 2017)

Hybrid Models for Short-Term Load Forecasting Using Clustering and Time Series. - Wael Alkhatib; Alaa Alhamoud; Doreen Böhnstedt; Ralf Steinmetz (IWANN (2), 2017)

Multi-label Text Classification Using Semantic Features and Dimensionality Reduction with Autoencoders. - Wael Alkhatib; Christoph Rensing; Johannes Silberbauer (LDK, 2017)

Ensuring Novelty and Transparency in Learning Resource-Recommendation Based on Deep Learning Techniques. - Wael Alkhatib; Eid Araache; Christoph Rensing; Steffen Schnitzer (EC-TEL, 2018)

Towards Ontology-Based Training-Less Multi-label Text Classification. - Wael Alkhatib; Saba Sabrin; Svenja Neitzel; Christoph Rensing (NLDB, 2018)

Training-Less Multi-label Text Classification Using Knowledge Bases and Word Embeddings. - Wael Alkhatib; Steffen Schnitzer; Christoph Rensing (KSEM (2), 2019)

Preselection of documents for personalized recommendations of job postings based on word embeddings. - Steffen Schnitzer; Dominik Reis; Wael Alkhatib; Christoph Rensing; Ralf Steinmetz (SAC, 2019)