| Ten quick tips for deep learning in biology. | PLoS Computational Biology | 2022 |
| Just-in-time software defect prediction using deep temporal convolutional networks | Neural Computing and Applications | |
| Inferring the Source of Official Texts: Can SVM Beat ULMFiT? | Lecture Notes in Computer Science | 2020 |
| Deep-learned faces: a survey | Eurasip Journal on Image and Video Processing | 2020 |
| Deep Learning Based Approach to Quantification of PET Tracer Uptake in Small Tumors | Lecture Notes in Computer Science | 2019 |
| Mol-CycleGAN - A Generative Model for Molecular Optimization | Lecture Notes in Computer Science | 2019 |
| ECO: Efficient Convolutional Network for Online Video Understanding | Lecture Notes in Computer Science | 2018 |
| Machine learning-based radar waveform classification for cognitive EW | Signal, Image and Video Processing | 2021 |
| Closed-form expressions for maximum mean discrepancy with applications to Wasserstein auto-encoders | Stat | 2021 |
| Hierarchical deep multi-modal network for medical visual question answering | Expert Systems With Applications | 2021 |
| \(hf_0\): A Hybrid Pitch Extraction Method for Multimodal Voice | Circuits, Systems, and Signal Processing | 2021 |
| Microscopy cell nuclei segmentation with enhanced U-Net | BMC Bioinformatics | 2020 |
| Deep learning for image-based mobile malware detection | Journal of Computer Virology and Hacking Techniques | 2020 |
| Transfer learning with convolutional neural networks for cancer survival prediction using gene-expression data | PLoS ONE | 2020 |
| Fast deep neural networks for image processing using posits and ARM scalable vector extension | Journal of Real-Time Image Processing | 2020 |
| Audio classification using braided convolutional neural networks | IET Signal Processing | 2020 |
| Dense feature pyramid network for cartoon dog parsing | Visual Computer | 2020 |
| Mol-CycleGAN: a generative model for molecular optimization | Journal of Cheminformatics | 2020 |
| Machine Learning for Semi Linear PDEs | Journal of Scientific Computing | 2019 |
| GPU-accelerated principal-agent game for scalable citizen science | | 2019 |
| Prediction of sgRNA on-target activity in bacteria by deep learning | BMC Bioinformatics | 2019 |
| TPUAR-Net: Two Parallel U-Net with Asymmetric Residual-Based Deep Convolutional Neural Network for Brain Tumor Segmentation | Lecture Notes in Computer Science | 2019 |
| Automated detection of bird roosts using NEXRAD radar data and Convolutional Neural Networks | Remote Sensing in Ecology and Conservation | 2019 |
