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AAAI Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD) / / Kuan-Chuan Peng, Ziyan Wu
AAAI Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD) / / Kuan-Chuan Peng, Ziyan Wu
Autore Peng Kuan-Chuan
Pubbl/distr/stampa Basel : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2022
Descrizione fisica 1 electronic resource (186 p.)
Disciplina 006.3
Soggetto topico Technology: general issues
Artificial intelligence
History of engineering & technology
Soggetto non controllato permutation equivariance
optimization
gender bias
fairness
face-recognition models
facial attributes
social bias
bias detection
natural language processing
temporal bias
forecasting
contrastive learning
supervised contrastive learning
transfer learning
robustness
noisy labels
coresets
deep learning
contextualized embeddings
out-of-distribution generalization
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto About the Editors -- Statement of Peer Review -- Electricity Consumption Forecasting for Out-of-Distribution Time-of-Use Tariffs -- Measuring Embedded Human-Like Biases in Face Recognition Models -- Measuring Gender Bias in Contextualized Embeddings -- The Details Matter: Preventing Class Collapsein Supervised Contrastive Learning -- DAP-SDD: Distribution-Aware Pseudo Labeling for Small Defect Detection -- Quantifying Bias in a Face -- Verification System -- Super-Resolution for Brain MR Images from a Significantly Small Amount of Training Data -- Dual Complementary Prototype Learning for Few-Shot Segmentation -- Extracting Salient Facts from Company Reviews with Scarce Labels -- Long-Tail Zero and Few-Shot Learning via Contrastive Pretraining on and for Small Data -- Age Should Not Matter: -- Towards More Accurate Pedestrian Detection via Self-Training.
Altri titoli varianti AAAI Workshop on Artificial Intelligence with Biased or Scarce Data
Record Nr. UNINA-9910585937403321
Peng Kuan-Chuan  
Basel : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advanced Computational Methods for Oncological Image Analysis
Advanced Computational Methods for Oncological Image Analysis
Autore Rundo Leonardo
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (262 p.)
Soggetto topico Medicine
Soggetto non controllato melanoma detection
deep learning
transfer learning
ensemble classification
3D-CNN
immunotherapy
radiomics
self-attention
breast imaging
microwave imaging
image reconstruction
segmentation
unsupervised machine learning
k-means clustering
Kolmogorov-Smirnov hypothesis test
statistical inference
performance metrics
contrast source inversion
brain tumor segmentation
magnetic resonance imaging
survey
brain MRI image
tumor region
skull stripping
region growing
U-Net
BRATS dataset
incoherent imaging
clutter rejection
breast cancer detection
MRgFUS
proton resonance frequency shift
temperature variations
referenceless thermometry
RBF neural networks
interferometric optical fibers
breast cancer
risk assessment
machine learning
texture
mammography
medical imaging
imaging biomarkers
bone scintigraphy
prostate cancer
semisupervised classification
false positives reduction
computer-aided detection
breast mass
mass detection
mass segmentation
Mask R-CNN
dataset partition
brain tumor
classification
shallow machine learning
breast cancer diagnosis
Wisconsin Breast Cancer Dataset
feature selection
dimensionality reduction
principal component analysis
ensemble method
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557353503321
Rundo Leonardo  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
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Lo trovi qui: Univ. Federico II
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Advances in Artificial Intelligence: Models, Optimization, and Machine Learning
Advances in Artificial Intelligence: Models, Optimization, and Machine Learning
Autore Leon Florin
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (362 p.)
Soggetto topico Research & information: general
Mathematics & science
Soggetto non controllato large margin nearest neighbor regression
distance metrics
prototypes
evolutionary algorithm
approximate differential optimization
multiple point hill climbing
adaptive sampling
free radical polymerization
autonomous driving
object tracking
trajectory prediction
deep neural networks
stochastic methods
applied machine learning
classification and regression
data mining
ensemble model
engineering informatics
gender-based violence in Mexico
twitter messages
class imbalance
k-nearest neighbor
instance-based learning
graph neural network
deep learning
hyperparameters
machine learning
optimization
inference
metaheuristics
animal-inspired
exploration
exploitation
hot rolled strip steel
surface defects
defect classification
knockout tournament
dynamic programming algorithm
computational complexity
combinatorics
intelligent transport systems
traffic control
spatial-temporal variable speed limit
multi-agent systems
reinforcement learning
distributed W-learning
urban motorways
multi-agent framework
NET framework
simulations
agent-based systems
agent algorithms
software design
multisensory fingerprint
interoperability
DeepFKTNet
classification
generative adversarial networks
image classification
transfer learning
plastic bottle
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Advances in Artificial Intelligence
Record Nr. UNINA-9910580212403321
Leon Florin  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Automated Driving Systems
Advances in Automated Driving Systems
Autore Eichberger Arno
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (294 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato automated driving
scenario-based testing
software framework
traffic signs
ADAS
traffic sign recognition system
cooperative perception
ITS
digital twin
sensor fusion
edge cloud
autonomous drifting
model predictive control (MPC)
successive linearization
adaptive control
vehicle motion control
varying road surfaces
vehicle dynamics
Mask R-CNN
transfer learning
inverse gamma correction
illumination
instance segmentation
pedestrian custom dataset
deep learning
wheel loaders
throttle prediction
state prediction
automation
safety validation
automated driving systems
decomposition
modular safety approval
modular testing
fault tree analysis
adaptive cruise control
informed machine learning
physics-guided reinforcement learning
safety
autonomous vehicles
autonomous conflict management
UTM
UAV
UGV
U-Space
framework development
lane detection
simulation and modelling
multi-layer perceptron
convolutional neural network
driver drowsiness
ECG signal
heart rate variability
wavelet scalogram
automated driving (AD)
driving simulator
expression of trust
acceptance
simulator case study
NASA TLX
advanced driver assistant systems (ADAS)
system usability scale
driving school
virtual validation
ground truth
reference measurement
calibration method
simulation
traffic evaluation
simulation and modeling
connected and automated vehicle
driver assistance system
virtual test and validation
radar sensor
physical perception model
virtual sensor model
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910580214003321
Eichberger Arno  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Hyperspectral Data Exploitation
Advances in Hyperspectral Data Exploitation
Autore Chang Chein-I
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (434 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato hyperspectral image few-shot classification
deep learning
meta-learning
relation network
convolutional neural network
constrained-target optimal index factor band selection (CTOIFBS)
hyperspectral image
underwater spectral imaging system
underwater hyperspectral target detection
band selection (BS)
constrained energy minimization (CEM)
lightweight convolutional neural networks
hyperspectral imagery classification
transfer learning
air temperature
spatial measurement
FTIR
MWIR
carbon dioxide absorption
target detection
coffee beans
insect damage
hyperspectral imaging
band selection
visualization
color formation models
multispectral image
image fusion
joint tensor decomposition
anomaly detection
constrained sparse representation
hyperspectral imagery
moving target detection
spatio-temporal processing
hyperspectral remote sensing
image classification
constraint representation
superpixel segmentation
multiscale decision fusion
plug-and-play
denoising
nonlinear unmixing
spectral reconstruction
residual augmented attentional u-shape network
spatial augmented attention
channel augmented attention
boundary-aware constraint
atmospheric transmittance
temperature
emissivity
separation
midwave infrared
hyperspectral images
hyperspectral image super-resolution
data fusion
spectral-spatial residual network
self-supervised training
hyperspectral
vegetation
generative adversarial network
data augmentation
classification
rice leaf blast
hyperspectral imaging data
deep convolutional neural networks
fused features
evolutionary computation
heuristic algorithms
machine learning
unmanned aerial vehicles (UAVs)
vegetation mapping
upland swamps
mine environment
rice
rice leaf folder
hyperspectral image classification
change detection
self-supervised learning
attention mechanism
multi-source image fusion
SFIM
least square estimation
spatial filter
hyperspectral imaging (HSI)
hyperspectral target detection
hyperspectral reconstruction
hyperspectral unmixing
ISBN 3-0365-5796-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910637782203321
Chang Chein-I  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Intelligent Vehicle Control
Advances in Intelligent Vehicle Control
Autore Cabrera Juan A
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (230 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato nonlinear height control
active air suspension
output constraints
random road excitation
disturbance observer design
electric vehicles
in-vehicle network
controller area network
cybersecurity
intrusion detection
deep learning
transfer learning
model-based control
vehicle dynamic potential
tyre thermodynamics
tyre wear
weather influence
vehicle safety
double lane change
safety optimization
noninverting buck-boost converter
high efficiency
wide bandwidth control
discrete-time sliding-mode current control (DSMCC)
electric vehicle (EV)
driver vehicle system
energy management
vehicle localization
GNSS receivers
RTK corrections
sensor redundancy
VMS
machine learning
ADAS
image processing
environment perception
semantics
3D multiple object detection
multiple object tracking
dynamic SLAM
roll angle estimator
Kalman filter
LQR controller
inertial sensors
motorcycle lean angle
electrical vehicles
EV charging scheduling
binary linear programming
binary quadratic programming
vehicle control
reinforcement learning
curriculum learning
sim-to-real world
intelligent mobility
heterogeneous vehicular communication
Internet of connected vehicles
vehicular ad hoc networks
heterogeneous networking
Internet of Things
ISBN 3-0365-6010-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910637781703321
Cabrera Juan A  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Mobile Mapping Technologies
Advances in Mobile Mapping Technologies
Autore Lehtola Ville
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (268 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato LiDAR
RetinaNet
inception
Mobile Laser Scanning
point clouds
data fusion
Lidar
point cloud density
point cloud coverage
mobile mapping systems
3D simulation
Pandar64
Ouster OS-1-64
mobile laser scanning
lever arm
boresight angles
plane-based calibration field
configuration analysis
accuracy
controllability
evaluation
control points
TLS reference point clouds
visual–inertial odometry
Helmert variance component estimation
line feature matching method
correlation coefficient
point and line features
mobile mapping
manhole cover
point cloud
F-CNN
transfer learning
CAM localization
loop closure detection
visual SLAM
semantic topology graph
graph matching
CNN features
deep learning
view planning
imaging network design
building 3D modelling
path planning
V-SLAM
real-time
guidance
embedded-systems
3D surveying
exposure control
photogrammetry
parking statistics
vehicle detection
robot operating system
3D camera
RGB-D
performance evaluation
convolutional neural networks
smart city
georeferencing
MSS
IEKF
DSIEKF
geometrical constraints
6-DoF
DTM
3D city model
dataset
laser scanning
3D mapping
synthetic
outdoor
semantic
scene completion
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566470903321
Lehtola Ville  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advances in Public Transport Platform for the Development of Sustainability Cities
Advances in Public Transport Platform for the Development of Sustainability Cities
Autore Corchado Juan M
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (346 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Environmental science, engineering & technology
Soggetto non controllato optimization models
timetable
passenger waiting time
vehicle occupancy ratio
intelligent transportation systems
demand prediction
taxi recommendation
vehicle social network
ride-hailing
urban rail transit (URT)
exploratory data analysis (EDA)
data envelopment analysis (DEA)
sustainable transport systems
intelligent transportation systems (ITS)
big-data applications
dynamic bus travel time prediction
wide and deep
data fusion
attention
recurrent neural network
deep neural networks
intelligent transportation
railway
CPS
security
safety
critical infrastructure
carsharing
data analysis
delays
demand
public transit
taxi
complex network analysis
centrality measures
network robustness
ridership patterns
clustering analysis
passenger flow
Barcelona underground
artificial intelligence
Big Data analytics
forecasting systems
recommender system
Fintech
passenger traffic
artificial neural network
regression analysis
reputation algorithm
users' reputation
transport
software application
deep learning
energy consumption
sustainable cities
transfer learning
wastewater treatment plants
unmanned aerial vehicles (UAVs)
multi-objective optimization
integer programming
GLPK
variable neighborhood search
search and rescue
learning recommender system
learning object
learning videos
content-based
collaborative filtering
users' profiling
data extraction
natural language processing
mapping application
time series forecasting
HTM
regression
machine intelligence
cyber-attack detection
IoT
trust
energy trading
trusted negotiations
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566472003321
Corchado Juan M  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Agricultural Diversification
Agricultural Diversification
Pubbl/distr/stampa Basel : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2022
Descrizione fisica 1 electronic resource (222 pages)
Soggetto topico Research
Environmental economics
Soggetto non controllato blue prawn
black tiger shrimp
economic efficiency
farming systems
salinity intrusion
soil salinity
white-legged shrimp
big blue stem
Cave in rock
claypan
forbs
legumes
intercropping
cropping systems
Sub-Saharan Africa
millet and sorghum
diversification
monocultivar
mixed-species plantation
biodiversity
arthropod
soil
on-farm biodiversity indicators
lupin
triticale
weeds
nitrogen
convolutional neural network
light competition
transfer learning
growth stages
mixed cropping
accumulate growing degree days
phyllochron
grass regrowth
leaf sheaths
blades
agricultural sustainability
crop rotation
rice
eco-economic benefit
externality
perennial cropping systems
grape production
medicinal and aromatic plants
grapevine yield
must quality
experimental design
aboveground mass
black medick
Egyptian clover
grain yield
nutrients
white clover
foodshed
archipelago
city region
food modelling
food self-sufficiency
self-reliance
food security
agricultural diversification
food planning
regional food system
crop diversification
small farms
HHI-Index
Poland
biochar
sunflower husk
soil respiration
soybean
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566459903321
Basel : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Algorithms in Decision Support Systems
Algorithms in Decision Support Systems
Autore García-Díaz Vicente
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (162 p.)
Soggetto topico History of engineering & technology
Soggetto non controllato semi-supervised learning
transfer learning
radar emitter
decision support systems
population health management
big data
machine learning
deep learning
personalized patient care
Nonlinear regression
interactive platform
component-based approach
software architecture
Eclipse-RCP (Rich Client Platform)
spatial prediction
rule-based expert systems
tennis hitting technique
computer algebra systems
Groebner bases
Boolean logic
data envelopment analysis
dimensionality reduction
ensembles
exhaustive state space search
entropy
associative classification
class association rule
vertical data representation
classification
algorithm evaluation
parallel algorithms
multi-objective optimization
train rescheduling
very large-scale decision support systems
very large-scale data and program cores of information systems
meta-database
teleological meta-database
thematic list
indicators list
computational methods list
geographically dispersed systems
external sources
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557109603321
García-Díaz Vicente  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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