Model-based configuration of VPNs. - Ingo Lück; Sebastian Vogel; Heiko Krumm (NOMS, 2002)

Closed form solution for optimal buffer sizing using the Weierstrass elliptic function. - Sebastian Vogel; Martin D. F. Wong (ASP-DAC, 2006)

Hyperelliptic Curve Cryptoarchitecture for Fast Execution of Schnorr and Okamoto Authentication Protocols. - Alexander Klimm; Sebastian Vogel; Jürgen Becker 001 (IPDPS Workshops, 2011)

Regular and Chaotic Dynamics in Bouncing Ball Models. - Sebastian Vogel; Stefan J. Linz (Int. J. Bifurc. Chaos, 2011)

A Security Scheme for Dependable Key Insertion in Mobile Embedded Devices. - Alexander Klimm; Benjamin Glas; Matthias Wachs; Sebastian Vogel; Klaus D. Müller-Glaser; Jürgen Becker 001 (Int. J. Reconfigurable Comput., 2011)

Decentral allocation planning in multi-stage customer hierarchies. - Sebastian Vogel; Herbert Meyr (Eur. J. Oper. Res., 2015)

Efficient Stochastic Inference of Bitwise Deep Neural Networks. - Sebastian Vogel; Christoph Schorn; Andre Guntoro; Gerd Ascheid (CoRR, 2016)

Kieker4DQL: Declarative Performance Measurement. - Matthias Blohm; Sebastian Vogel; Maksim Pahlberg; Jürgen Walter; Dusan Okanovic (Softwaretechnik-Trends, 2016)

Efficient hardware acceleration for approximate inference of bitwise deep neural networks. - Sebastian Vogel; Andre Guntoro; Gerd Ascheid (DASIP, 2017)

Präzise Kalkung durch Integration hochauflösender Bodensensordaten. - Ingmar Schröter; Sebastian Vogel; Swen Meyer; Charlotte Kling; Jörg Rühlmann; Robin Gebbers; Eckart Kramer (GIL Jahrestagung, 2018)

Efficient hardware acceleration of CNNs using logarithmic data representation with arbitrary log-base. - Sebastian Vogel; Mengyu Liang; Andre Guntoro; Walter Stechele; Gerd Ascheid (ICCAD, 2018)

Guaranteed Compression Rate for Activations in CNNs using a Frequency Pruning Approach. - Sebastian Vogel; Christoph Schorn; Andre Guntoro; Gerd Ascheid (DATE, 2019)

Self-Supervised Quantization of Pre-Trained Neural Networks for Multiplierless Acceleration. - Sebastian Vogel; Jannik Springer; Andre Guntoro; Gerd Ascheid (DATE, 2019)

Bit-Shift-Based Accelerator for CNNs with Selectable Accuracy and Throughput. - Sebastian Vogel; Rajatha B. Raghunath; Andre Guntoro; Kristof Van Laerhoven; Gerd Ascheid (DSD, 2019)

Efficient Acceleration of CNNs for Semantic Segmentation on FPGAs. - Sebastian Vogel; Jannik Springer; Andre Guntoro; Gerd Ascheid (FPGA, 2019)

An End-to-End HW/SW Co-Design Methodology to Design Efficient Deep Neural Network Systems using Virtual Models. - Michael J. Klaiber; Sebastian Vogel; Axel Acosta 001; Robert Korn; Leonardo Ecco; Kristine Back; Andre Guntoro; Ingo Feldner (INTESA, 2019)

Evaluating Soil-Borne Causes of Biomass Variability in Grassland by Remote and Proximal Sensing. - Sebastian Vogel; Robin Gebbers; Marcel Oertel; Eckart Kramer (Sensors, 2019)

Automated design of error-resilient and hardware-efficient deep neural networks. - Christoph Schorn; Thomas Elsken; Sebastian Vogel; Armin Runge; Andre Guntoro; Gerd Ascheid (Neural Comput. Appl., 2020)

Determination of Nutrients in Liquid Manures and Biogas Digestates by Portable Energy-Dispersive X-ray Fluorescence Spectrometry. - Michael Horf; Robin Gebbers; Sebastian Vogel; Markus Ostermann; Max-Frederik Piepel; Hans-Werner Olfs (Sensors, 2021)

Block-Level Surrogate Models for Inference Time Estimation in Hardware-Aware Neural Architecture Search. - Kurt Stolle; Sebastian Vogel; Fons van der Sommen; Willem P. Sanberg (ECML/PKDD (5), 2022)

Scaling Up Quantization-Aware Neural Architecture Search for Efficient Deep Learning on the Edge. - Yao Lu; Hiram Rayo Torres Rodriguez; Sebastian Vogel; Nick van de Waterlaat; Pavol Jancura (CODAI, 2023)

BOMP- NAS: Bayesian Optimization Mixed Precision NAS. - David van Son; Floran de Putter; Sebastian Vogel; Henk Corporaal (DATE, 2023)

Quantization-Aware Neural Architecture Search with Hyperparameter Optimization for Industrial Predictive Maintenance Applications. - Nick van de Waterlaat; Sebastian Vogel; Hiram Rayo Torres Rodriguez; Willem P. Sanberg; Gerardo Daalderop (DATE, 2023)

Modellierung des organischen Kohlenstoffs in Ackerböden. - Sandra Post; Ingmar Schröter; Eric Bönecke; Sebastian Vogel; Eckart Kramer (GIL Jahrestagung, 2023)

Towards an interoperability roadmap for the energy transition. - Valerie Reif; Thomas I. Strasser; Joseba Jimeno; Marjolaine Farre; Olivier Genest; Amélie Gyrard; Mark F. McGranaghan; Gianluca Lipari; Johann Schütz; Mathias Uslar; Sebastian Vogel; Arsim Bytyqi; et al. (Elektrotech. Informationstechnik, 2023)

Ultra-Low Memory Speech Denoising using Quantization-Aware Neural Architecture Search. - Anastasios Vafeiadis; Nick van de Waterlaat; Clement Castel; Bruno Defraene; Gerardo Daalderop; Sebastian Vogel; Christophe Macours (MLSP, 2024)

The RapidMapper: State-of-the-art in mobile proximal soil sensing based on a novel multi-sensor platform. - Hamed Tavakoli; José Correa; Sebastian Vogel; Marcel Oertel; Marc Zimne; Michael Heisig; Anatolij Harder; Robert Wruck; Stefan Pätzold; Matthias Leenen; Robin Gebbers (Comput. Electron. Agric., 2024)

Precision Liming Soil Datasets (LimeSoDa) Zenodo Repository. - Jonas Schmidinger; Sebastian Vogel; Viacheslav Barkov; A.-D. Pham; Robin Gebbers; Hamed Tavakoli; José Correa; Tibério Tavares Rezende; Patrick Filippi; Edward J. Jones; V. Lukas; Eric Bönecke; et al. (Zenodo, 2025)

LimeSoDa: A Dataset Collection for Benchmarking of Machine Learning Regressors in Digital Soil Mapping. - Jonas Schmidinger; Sebastian Vogel; Viacheslav Barkov; A.-D. Pham; Robin Gebbers; Hamed Tavakoli; José Correa; Tibério Tavares Rezende; Patrick Filippi; Edward J. Jones; V. Lukas; Eric Bönecke; et al. (CoRR, 2025)