EELWORM: a bioinspired multimodal amphibious soft robot. - Edoardo Milana; Bert Van Raemdonck; Kevin Cornelis; Enrique Dehaerne; Jef De Clerck; Yarno De Groof; Toon De Vil; Benjamin Gorissen; Dominiek Reynaerts (RoboSoft, 2020)

A Comparative Study of Deep-Learning Object Detectors for Semiconductor Defect Detection. - Enrique Dehaerne; Bappaditya Dey; Sandip Halder (ICECS 2022, 2022)

Code Generation Using Machine Learning: A Systematic Review. - Enrique Dehaerne; Bappaditya Dey; Sandip Halder; Stefan De Gendt; Wannes Meert (IEEE Access, 2022)

Deep Learning based Defect classification and detection in SEM images: A Mask R-CNN approach. - Bappaditya Dey; Enrique Dehaerne; Kasem Khalil; Sandip Halder; Philippe Leray 002; Magdy A. Bayoumi (CoRR, 2022)

Optimizing YOLOv7 for Semiconductor Defect Detection. - Enrique Dehaerne; Bappaditya Dey; Sandip Halder; Stefan De Gendt (CoRR, 2023)

SEMI-PointRend: Improved Semiconductor Wafer Defect Classification and Segmentation as Rendering. - MinJin Hwang; Bappaditya Dey; Enrique Dehaerne; Sandip Halder; Young-han Shin (CoRR, 2023)

A Deep Learning Framework for Verilog Autocompletion Towards Design and Verification Automation. - Enrique Dehaerne; Bappaditya Dey; Sandip Halder; Stefan De Gendt (CoRR, 2023)

YOLOv8 for Defect Inspection of Hexagonal Directed Self-Assembly Patterns: A Data-Centric Approach. - Enrique Dehaerne; Bappaditya Dey; Hossein Esfandiar; Lander Verstraete; Hyo Seon Suh; Sandip Halder; Stefan De Gendt (CoRR, 2023)

SEMI-CenterNet: A Machine Learning Facilitated Approach for Semiconductor Defect Inspection. - Vic De Ridder; Bappaditya Dey; Enrique Dehaerne; Sandip Halder; Stefan De Gendt; Bartel Van Waeyenberge (CoRR, 2023)

Automated Semiconductor Defect Inspection in Scanning Electron Microscope Images: a Systematic Review. - Thibault Lechien; Enrique Dehaerne; Bappaditya Dey; Víctor Blanco; Sandip Halder; Stefan De Gendt (CoRR, 2023)

Benchmarking Feature Extractors for Reinforcement Learning-Based Semiconductor Defect Localization. - Enrique Dehaerne; Bappaditya Dey; Sandip Halder; Stefan De Gendt (CoRR, 2023)

A Machine Learning Approach Towards SKILL Code Autocompletion. - Enrique Dehaerne; Bappaditya Dey; Wannes Meert (CoRR, 2023)