| 2019 | KSEM | Training-Less Multi-label Text Classification Using Knowledge Bases and Word Embeddings. | Wael Alkhatib, Steffen Schnitzer, Christoph Rensing |
| 2019 | SAC | Preselection of documents for personalized recommendations of job postings based on word embeddings. | Steffen Schnitzer, Dominik Reis, Wael Alkhatib, Christoph Rensing, Ralf Steinmetz |
| 2018 | NLDB | Towards Ontology-Based Training-Less Multi-label Text Classification. | Wael Alkhatib, Saba Sabrin, Svenja Neitzel, Christoph Rensing |
| 2017 | IBPRIA | Neighbor Distance Ratios and Dynamic Weighting in Multi-biometric Fusion. | Naser Damer, Wael Alkhatib, Andreas Braun, Arjan Kuijper |
| 2017 | IC3K | Onto.KOM - Towards a Minimally Supervised Ontology Learning System based on Word Embeddings and Convolutional Neural Networks. | Wael Alkhatib, Leon Alexander Herrmann, Christoph Rensing |
| 2017 | IWANN | Hybrid Model for Large Scale Forecasting of Power Consumption. | Wael Alkhatib, Alaa Alhamoud, Doreen Bhnstedt, Ralf Steinmetz |
| 2017 | IWANN | Hybrid Models for Short-Term Load Forecasting Using Clustering and Time Series. | Wael Alkhatib, Alaa Alhamoud, Doreen Bhnstedt, Ralf Steinmetz |
| 2017 | LDK | Multi-label Text Classification Using Semantic Features and Dimensionality Reduction with Autoencoders. | Wael Alkhatib, Christoph Rensing, Johannes Silberbauer |