2,871 research outputs found
Seeing the wood for the trees : Predictive margins for random forests
Classification trees and random forests offer a number of attractive features to corpus data analysts. However, the way in which these models are typically reported – a decision tree and/or set of variable importance scores – offers insufficient information if interest centers on the (form of) relationship between (multiple) predictors and the outcome. This paper develops predictive margins as an interpretative approach to ensemble techniques such as random forests. These are model summaries in the form of adjusted predictions, which provide a clearer picture of patterns in the data and allow us to query a model on potential non-linear associations and interactions among predictor variables. The present paper outlines the general strategy for forming predictive margins and addresses methodological issues from an explicitly (corpus) linguistic perspective. For illustration, we use data on the English genitive alternation and provide an R package and code for their implementation
RC-BEVFusion: A Plug-In Module for Radar-Camera Bird's Eye View Feature Fusion
Radars and cameras belong to the most frequently used sensors for advanced
driver assistance systems and automated driving research. However, there has
been surprisingly little research on radar-camera fusion with neural networks.
One of the reasons is a lack of large-scale automotive datasets with radar and
unmasked camera data, with the exception of the nuScenes dataset. Another
reason is the difficulty of effectively fusing the sparse radar point cloud on
the bird's eye view (BEV) plane with the dense images on the perspective plane.
The recent trend of camera-based 3D object detection using BEV features has
enabled a new type of fusion, which is better suited for radars. In this work,
we present RC-BEVFusion, a modular radar-camera fusion network on the BEV
plane. We propose BEVFeatureNet, a novel radar encoder branch, and show that it
can be incorporated into several state-of-the-art camera-based architectures.
We show significant performance gains of up to 28% increase in the nuScenes
detection score, which is an important step in radar-camera fusion research.
Without tuning our model for the nuScenes benchmark, we achieve the best result
among all published methods in the radar-camera fusion category.Comment: GCPR 202
Deployment of Deep Neural Networks for Object Detection on Edge AI Devices with Runtime Optimization
Catching the Phish: Detecting Phishing Attacks using Recurrent Neural Networks (RNNs)
The emergence of online services in our daily lives has been accompanied by a range of malicious attempts to trick individuals into performing undesired actions, often to the benefit of the adversary. The most popular medium of these attempts is phishing attacks, particularly through emails and websites. In order to defend against such attacks, there is an urgent need for automated mechanisms to identify this malevolent content before it reaches users. Machine learning techniques have gradually become the standard for such classification problems. However, identifying common measurable features of phishing content (e.g., in emails) is notoriously difficult. To address this problem, we engage in a novel study into a phishing content classifier based on a recurrent neural network (RNN), which identifies such features without human input. At this stage, we scope our research to emails, but our approach can be extended to apply to websites. Our results show that the proposed system outperforms state-of-the-art tools. Furthermore, our classifier is efficient and takes into account only the text and, in particular, the textual structure of the email. Since these features are rarely considered in email classification, we argue that our classifier can complement existing classifiers with high information gain
Supersingular Non-Superspecial Abelian Surfaces in Cryptography
We consider the use of supersingular abelian surfaces in cryptography. Several generalisations of well-known cryptographic schemes and constructions based on supersingular elliptic curves to the 2-dimensional setting of superspecial abelian surfaces have been proposed. The computational assumptions in the superspecial 2-dimensional case can be reduced to the corresponding 1-dimensional problems via a product decomposition by observing that every superspecial abelian surface is non-simple and separably isogenous to a product of supersingular elliptic curves. Instead, we propose to use supersingular non-superspecial isogeny graphs where such a product decomposition does not have a computable description via separable isogenies. We study the advantages and investigate security concerns of the move to supersingular non-superspecial abelian surfaces
Statins enhance the efficacy of HER2-targeting radioligand therapy in drug-resistant gastric cancers
Human epidermal growth factor receptor 2 (HER2) is overexpressed in various cancer types. HER2-targeting trastuzumab plus chemotherapy is used as first-line therapy for HER2-positive recurrent or primary metastatic gastric cancer, but intrinsic and acquired trastuzumab resistance inevitably develop over time. To overcome gastric cancer resistance to HER2-targeted therapies, we have conjugated trastuzumab with a beta-emitting therapeutic isotope, lutetium-177, to deliver radiation locally to gastric tumors with minimal toxicity. Because trastuzumab-based targeted radioligand therapy (RLT) requires only the extramembrane domain binding of membrane-bound HER2 receptors, HER2-targeting RLT can bypass any resistance mechanisms that occur downstream of HER2 binding. Leveraging our previous discoveries that statins, a class of cholesterol-lowering drugs, can enhance the cell surface-bound HER2 to achieve effective drug delivery in tumors, we proposed that the combination of statins and
WHOI Hawaii Ocean Timeseries Station (WHOTS) : WHOTS-7 2010 mooring turnaround cruise report
The Woods Hole Oceanographic Institution (WHOI) Hawaii Ocean Timeseries (HOT)
Site (WHOTS), 100 km north of Oahu, Hawaii, is intended to provide long-term, high-quality
air-sea fluxes as a part of the NOAA Climate Observation Program. The WHOTS mooring also
serves as a coordinated part of the HOT program, contributing to the goals of observing heat,
fresh water and chemical fluxes at a site representative of the oligotrophic North Pacific Ocean.
The approach is to maintain a surface mooring outfitted for meteorological and oceanographic
measurements at a site near 22.75°N, 158°W by successive mooring turnarounds. These
observations will be used to investigate air–sea interaction processes related to climate
variability.
This report documents recovery of the WHOTS-6 mooring and deployment of the
seventh mooring (WHOTS-7). Both moorings used Surlyn foam buoys as the surface element
and were outfitted with two Air–Sea Interaction Meteorology (ASIMET) systems. Each
ASIMET system measures, records, and transmits via Argos satellite the surface meteorological
variables necessary to compute air–sea fluxes of heat, moisture and momentum. The upper 155
m of the moorings were outfitted with oceanographic sensors for the measurement of
temperature, conductivity and velocity in a cooperative effort with R. Lukas of the University of
Hawaii. A pCO2 system was installed on the WHOTS-7 buoy in a cooperative effort with Chris
Sabine at the Pacific Marine Environmental Laboratory.
The WHOTS mooring turnaround was done on the University of Hawaii research vessel
Kilo Moana, by the Upper Ocean Processes Group of the Woods Hole Oceanographic
Institution. The cruise took place between 27 July and 4 August 2010. Operations began with
deployment of the WHOTS-7 mooring on 28 July. This was followed by meteorological
intercomparisons and CTDs. Recovery of WHOTS-6 took place on 2 Aug 2010. This report
describes these cruise operations, as well as some of the in-port operations and pre-cruise buoy
preparations.Funding was provided by the National Oceanic and Atmospheric Administration
under Grant No. NA09OAR432012
A large new family of filled skutterudites stabilized by electron count
Based on the interplay of theory and experiment, a large new family of filled
group 9 (Co, Rh and Ir) skutterudites is designed and synthesized. The new
materials fill the empty cages in the structures of the known binary CoSb3,
RhSb3 and IrSb3 skutterudites with alkaline, alkaline earth, and rare earth
atoms to create compounds of the type AyB4X12; A atoms fill the cages to a
fraction y, B are the group 9 transition metals, and X is a mixture of
electronegative main group elements chosen to achieve chemical stability by
adjusting the electron counts to electron-precise values. Forty-three new
compounds are reported, antimony-tin and phosphorous-silicon based, with 63
compositional variations presented. The new family of compounds is large and
general. The results described here can be extended to the synthesis of
hundreds of new group 9 filled skutterudites.Comment: A revised version with the title"A large family of filled
skutterudites stabilized by electron count"will appear in Nature
Communication
WHOI Hawaii Ocean Timeseries Station (WHOTS) : WHOTS-3 mooring turnaround cruise report
The Woods Hole Oceanographic Institution (WHOI) Hawaii Ocean Timeseries (HOT) Site (WHOTS), 100 km north of Oahu, Hawaii,
is intended to provide long-term, high-quality air-sea fluxes as a coordinated part of the HOT program and contribute to the goals of
observing heat, fresh water, and chemical fluxes at a site representative of the oligotrophic North Pacific Ocean. The approach is to
maintain a surface mooring outfitted for meteorological and oceanographic measurements at a site near 22.75N 158W by successive
mooring turnarounds. These observations will be used to investigate air-sea interaction processes related to climate variability.
The first WHOTS mooring (WHOTS-1) was deployed in August 2004. WHOTS-1 was recovered and WHOTS-2 deployed in July 2005.
This report documents recovery of the WHOTS-2 mooring and deployment of the third mooring (WHOTS-3) at the same site. Both
moorings used Surlyn foam buoys as the surface element and were outfitted with two Air-Sea Interaction Meteorology (ASIMET)
systems. Each system measures, records, and transmits via Argos satellite, the surface meteorological variables necessary to compute
air-sea fluxes of heat, moisture, and momentum. WHOTS-2 was equipped with one Iridium data transmitter, and WHOTS-3 had two
Iridium data transmitters. In cooperation with R. Lukas of the University of Hawaii, the upper 155 m of the morrings were outfitted with
oceanographic sensors for the measurement of temperature, conductivity, and velocity.
The WHOTS mooring turnaround was done on the Scripps Institution of Oceanography ship Revelle, Cruise AMAT-07, by the Upper
Ocean Processes Group of the Woods Hole Oceanographic Institution and Roger Lukas’group at the University of Hawaii. The cruise took
place between 22 and 29 June 2006. Operations on site were initiated with an intercomparison of shipboard meteorological observations
with the WHOTS-2 buoy. Dr. Frank Bradley, CSIRO, Australia, assisted with these comparisons. This was followed by recovery of the
WHOTS-2 mooring on 24 June. A number of recovered instruments were calibrated by attaching them to the rosette frame of the CTD.
Shallow CTD profiles were taken every two hours for 12 hours on the 25th of June. A fish trap was deployed on June 25th by John Yeh, a
University of Hawaii graduate student. The WHOTS-3 mooring was deployed on 26 June at approximately 22°46'N, 157°54'W in 4703 m
of water. A ship-buoy intercomparison period and series of shallow CTDs followed along with a second deployment of the fishtrap.
A NOAA Teacher-At-Sea, Diana Griffiths, and a NOAA Hollings Scholar, Terry Smith, participated in the cruise. This report describes
the mooring operations, some of the pre-cruise buoy preparations and CTD casts taken during the cruise, the fish trap deployments, and
the experiences of the Teacher-at-Sea and Hollings Scholar.Funding was provided by the National Oceanic and Atmospheric Administration under grant No. NA17RJ1223
for the Cooperative Institute for Climate and Ocean Research (CICOR)
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