9 research outputs found
BIRB: A Generalization Benchmark for Information Retrieval in Bioacoustics
The ability for a machine learning model to cope with differences in training
and deployment conditions--e.g. in the presence of distribution shift or the
generalization to new classes altogether--is crucial for real-world use cases.
However, most empirical work in this area has focused on the image domain with
artificial benchmarks constructed to measure individual aspects of
generalization. We present BIRB, a complex benchmark centered on the retrieval
of bird vocalizations from passively-recorded datasets given focal recordings
from a large citizen science corpus available for training. We propose a
baseline system for this collection of tasks using representation learning and
a nearest-centroid search. Our thorough empirical evaluation and analysis
surfaces open research directions, suggesting that BIRB fills the need for a
more realistic and complex benchmark to drive progress on robustness to
distribution shifts and generalization of ML models
Paleolandschappelijk en archeologisch onderzoek van het te realiseren gecontroleerd overstromingsgebied Kruibeke-Bazel-Rupelmonde
Dit rapport werd ingediend bij het agentschap samen met een aantal afzonderlijke digitale bijlagen. Een aantal van deze bijlagen zijn niet inbegrepen in dit pdf document en zijn niet online beschikbaar. Sommige bijlagen (grondplannen, fotos, spoorbeschrijvingen, enz.) kunnen van belang zijn voor een betere lezing en interpretatie van dit rapport. Indien u deze bijlagen wenst te raadplegen kan u daarvoor contact opnemen met: [email protected]
Fossil proxies of near-shore sea surface temperatures and seasonality from the late Neogene Antarctic shelf
We evaluate the available palaeontological and geochemical
proxy data from bivalves, bryozoans, silicoflagellates,
diatoms and cetaceans for sea surface temperature (SST) regimes around the nearshore Antarctic coast during the late Neogene. These fossils can be found in a number of shallow marine sedimentary settings from three regions of the Antarctic continent, the northern Antarctic Peninsula, the Prydz Bay region and the western Ross Sea. Many of the proxies suggest maximum spring–summer SSTs that are warmer than present by up to 5 °C, which would result in reduced seasonal sea ice. The evidence suggests that the summers on the Antarctic shelf during the late Neogene experienced most of the warming, while winter SSTs were little changed from present. Feedbacks from changes in summer sea ice covermay have driven much of the lateNeogene ocean warming seen in stratigraphic records. Synthesized late Neogene and earliest Quaternary Antarctic shelf proxy data are compared to the multi-model SST estimates of the Pliocene Model Intercomparison Project (PlioMIP) Experiment 2. Despite the fragmentary geographical and temporal context for the SST data, comparisons between the SSTwarming in each of the three regions represented in the marine palaeontological
record of theAntarctic shelf and the PlioMIP climate simulations show a good concordance