Recent Submissions 

  1. Elucidating the genetic control of southern anthracnose resistance in red clover 

    Frey, Lea A.; Schubiger, Franz X.; Ruttink, Tom; et al. (2021)
    Exploiting genetic diversity of forages to fulfil their economic and environmental roles
    Conference Paper
  2. Italian ryegrass – higher seed yield through targeted selection 

    Peter, Jenny; Kölliker, Roland; Studer, Bruno; et al. (2021)
    Exploiting genetic diversity of forages to fulfil their economic and environmental roles
    Conference Paper
  3. Pooled sequencing reveals multiple regions involved in resistance to bacterial wilt in Italian ryegrass 

    Goettelmann, Florian; Copetti, Dario; Yates, Steven; et al. (2021)
    Exploiting genetic diversity of forages to fulfil their economic and environmental roles
    Conference Paper
  4. Plasma Spray Process Parameters Configuration using Sample-efficient Batch Bayesian Optimization 

    Guidetti X.; Rupenyan A.; Fassl L.; et al. (2021)
    IEEE International Conference on Automation Science and Engineering
    Recent work has shown constrained Bayesian optimization to be a powerful technique for the optimization of industrial processes. In complex manufacturing processes, the possibility to run extensive sequences of experiments with the goal of finding good process parameters is severely limited by the time required for quality evaluation of the produced parts. To accelerate the process parameter optimization, we introduce a parallel acquisition ...
    Conference Paper
  5. Cocoon: 3D printed clay formwork for concrete casting 

    Bruce, Mackenzie; Clune, Gabrielle; Xie, Ruxin; et al. (2021)
    Concrete, a material widely used in the construction industry today for its low cost and considerable strength as a composite building material, allows designers to work with nearly any form imaginable; if the technology to build the formwork is possible. By combining two historic and widely used materials, clay and concrete, our proposed novel process, Cocoon, integrates robotic clay three-dimensional (3D) printing as the primary formwork ...
    Conference Paper
  6. Generating correct initial page tables from formal hardware descriptions 

    Achermann, Reto; Cock, David; Haecki, Roni; et al. (2021)
    PLOS '21: Proceedings of the 11th Workshop on Programming Languages and Operating Systems
    Conference Paper
  7. Exploring Design Alternatives for Replicated RAMP Transactions Using Maude 

    Liang, Lei; Liu, Si (2021)
    2021 International Symposium on Theoretical Aspects of Software Engineering (TASE)
    Developing correct, scalable, and fault-tolerant distributed databases is hard and labor-intensive. The increasing complexity of such systems under modern cloud infrastructures, e.g., geo-replicated multi-partitioned datacenters, further limits the number of design alternatives that can be explored in practice. There is therefore a need for the formal analysis of both their qualitative properties, e.g., data consistency, and their ...
    Conference Paper
  8. High engagement of patients monitored by a digital health ecosystem indicates significant improvements of key r-hGH treatment metrics 

    Spataru, Amalia; Quarteroni, Silvia; Arnaud, Lilian; et al. (2021)
    Studies in Health Technology and Informatics ~ Public Health and Informatics: Proceedings of MIE 2021
    The early adoption of digital health solutions in the treatment of growth disorders has enabled the collection and analysis of more than 10 years of real-world data using the easypod™ connect platform. Using this rich dataset, we were able to study the impact of engagement on three key treatment-related outcomes: adherence, persistence of use, and growth. In total, data for 17,906 patients were available. The three features, regularity ...
    Conference Paper
  9. Digital health in the management of pediatric growth hormone therapy - 10 years of developments 

    Koledova, Ekaterina; Le Masne, Quentin; Spataru, Amalia; et al. (2021)
    Studies in Health Technology and Informatics ~ Public Health and Informatics: Proceedings of MIE 2021
    Growth hormone administration is approved for use in a number of growth failure conditions in children. Optimal growth outcome requires continuous daily injections over many years, leading to problems of persistence and adherence with therapy. The easypod™ connect ecosystem enables electronic monitoring of injection and dose history, transmitted to a secure cloud database via the internet or cellular networks. Thus, healthcare providers ...
    Conference Paper
  10. Assessment of diatom growth using fluorescence imaging 

    Cvjetinovic, Julijana; Nozdriukhin, Daniil; Bedoshvili, Yekaterina; et al. (2021)
    Journal of Physics: Conference Series
    Monitoring the growth of diatom microalgae requires sensitive, fast, and easy-to-use methods for selecting the most productive strains for further research and application. Here we propose a novel, rapid and non-destructive approach for monitoring the viability and growth of diatom colonies using the IVIS fluorescence imaging system. The fast-growing Achnanthidium sibiricum diatoms were cultivated in favorable laboratory conditions in a ...
    Conference Paper
  11. WoodFlow project - large wood management in rivers 

    Steeb, Nicolas; Badoux, Alexandre; Boes, Robert; et al. (2021)
    14th congress INTERPRAEVENT 2021. Natural Hazards in a Changing World
    This contribution summarises the most important practical findings from the WoodFlow research project. The main goal was to improve understanding of the processes governing large wood (LW) dynamics in watercourses and to provide practitioners with suitable tools to help assess LW-related hazards. The results provide a basis for estimating potential LW quantities, modelling wood transport during floods and describing the associated hazards ...
    Conference Paper
  12. ACCL: FPGA-Accelerated Collectives over 100 Gbps TCP-IP 

    He, Zhenhao; Parravicini, Daniele; Petrica, Lucian; et al. (2021)
    Collective operations such as scatter, gather, reduce, etc are utilized broadly to implement distributed HPC applications and are the target of extensive optimization in all MPI implementations as well as dedicated collective libraries by accelerator vendors (e.g. NCCL and RCCL by NVidia and AMD respectively). We present ACCL, an open-source FPGAaccelerated collectives library designed to serve applications running primarily in Xilinx ...
    Conference Paper
  13. Default Ambiguity: Finding the Best Solution to the Clearing Problem 

    Papp, Pál András; Wattenhofer, Roger (2021)
    Conference Paper
  14. DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks 

    Faber, Lukas; Martinkus, Karolis; Papp, Pál András; et al. (2021)
    Conference Paper
  15. On Consensus Number 1 Objects 

    Khanchandani, Pankaj; Schaeppi, Jan; Wang, Ye; et al. (2021)
    Conference Paper
  16. EEGEyeNet: a Simultaneous Electroencephalography and Eye-tracking Dataset and Benchmark for Eye Movement Prediction 

    Kastrati, Ard; Plomecka, Martyna B.; Pascual, Damian; et al. (2021)
    Conference Paper
  17. Rapid Mapping of Landslides Triggered by the Storm Alex, October 2020 

    Prakash, Nikhil; Manconi, Andrea (2021)
    2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
    On 2nd and 3rd October 2020, Storm Alex hit northern Italy and southern France regions with 500 mm of rainfall in about 24 hours. This triggered devastating flash floods and landslides, causing severe damages and 15 fatalities. This study presents a landslide inventory map obtained by using a generalized deep-learning model, avoiding human interaction in the workflow by skipping the time-consuming training step. A total of 1,249 landslides ...
    Conference Paper
  18. OPES: On-the-fly probability enhanced sampling method 

    Invernizzi, Michele (2021)
    Il Nuovo Cimento C
    Molecular simulations are playing an ever-increasing role, finding applications in fields as varied as physics, chemistry, biology and material science. However, many phenomena of interest take place on time scales that are out of reach for standard molecular simulations. This is known as the sampling problem and over the years several enhanced sampling methods have been developed to mitigate this issue. We propose a unified approach that ...
    Conference Paper
  19. Temporal Pattern Coding in Deep Spiking Neural Networks 

    Rueckauer, Bodo; Liu, Shih-Chii (2021)
    2021 International Joint Conference on Neural Networks (IJCNN)
    Deep Artificial Neural Networks (ANNs) employ a simplified analog neuron model that mimics the rate transfer function of integrate-and-fire neurons. In Spiking Neural Networks (SNNs), the predominant information transmission method is based on rate codes. This code is inefficient from a hardware perspective because the number of transmitted spikes is proportional to the encoded analog value. Alternate codes such as temporal codes that are ...
    Conference Paper
  20. HyperEmbed: Tradeoffs between Resources and Performance in NLP Tasks with Hyperdimensional Computing Enabled Embedding of n-gram Statistics 

    Alonso, Pedro; Shridhar, Kumar; Kleyko, Denis; et al. (2021)
    2021 International Joint Conference on Neural Networks (IJCNN)
    Recent advances in Deep Learning have led to a significant performance increase on several NLP tasks, however, the models become more and more computationally demanding. Therefore, this paper tackles the domain of computationally efficient algorithms for NLP tasks. In particular, it investigates distributed representations of n -gram statistics of texts. The representations are formed using hyperdimensional computing enabled embedding. ...
    Conference Paper

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