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Explainable and Interpretable Models in Computer Vision and Machine Learning / / edited by Hugo Jair Escalante, Sergio Escalera, Isabelle Guyon, Xavier Baró, Yağmur Güçlütürk, Umut Güçlü, Marcel van Gerven
Explainable and Interpretable Models in Computer Vision and Machine Learning / / edited by Hugo Jair Escalante, Sergio Escalera, Isabelle Guyon, Xavier Baró, Yağmur Güçlütürk, Umut Güçlü, Marcel van Gerven
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (305 pages)
Disciplina 006.31
Collana The Springer Series on Challenges in Machine Learning
Soggetto topico Artificial intelligence
Optical data processing
Pattern perception
Artificial Intelligence
Image Processing and Computer Vision
Pattern Recognition
ISBN 3-319-98131-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 Considerations for Evaluation and Generalization in Interpretable Machine Learning -- 2 Explanation Methods in Deep Learning: Users, Values, Concerns and Challenges -- 3 Learning Functional Causal Models with Generative Neural Networks -- 4 Learning Interpretable Rules for Multi-label Classification -- 5 Structuring Neural Networks for More Explainable Predictions -- 6 Generating Post-Hoc Rationales of Deep Visual Classification Decisions -- 7 Ensembling Visual Explanations -- 8 Explainable Deep Driving by Visualizing Causal Action -- 9 Psychology Meets Machine Learning: Interdisciplinary Perspectives on Algorithmic Job Candidate Screening -- 10 Multimodal Personality Trait Analysis for Explainable Modeling of Job Interview Decisions -- 11 On the Inherent Explainability of Pattern Theory-based Video Event Interpretations. .
Record Nr. UNINA-9910299353403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Gesture Recognition / / edited by Sergio Escalera, Isabelle Guyon, Vassilis Athitsos
Gesture Recognition / / edited by Sergio Escalera, Isabelle Guyon, Vassilis Athitsos
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XII, 578 p. 214 illus., 170 illus. in color.)
Disciplina 006.4
Collana The Springer Series on Challenges in Machine Learning
Soggetto topico Artificial intelligence
Optical data processing
Pattern perception
Artificial Intelligence
Image Processing and Computer Vision
Pattern Recognition
ISBN 3-319-57021-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface -- Chapter 1 -- Chapter 2 -- Chapter 3 -- Chapter 4 -- Chapter 5.
Record Nr. UNINA-9910254813803321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Human-robot interaction : theory and application / / edited by Gholamreza Anbarjafari and Sergio Escalera
Human-robot interaction : theory and application / / edited by Gholamreza Anbarjafari and Sergio Escalera
Pubbl/distr/stampa London, England : , : IntechOpen, , [2018]
Descrizione fisica 1 online resource (184 pages) : illustrations
Disciplina 629.8924019
Soggetto topico Human-robot interaction
ISBN 1-83881-291-1
1-78923-317-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Human-robot interaction
Record Nr. UNINA-9910317809103321
London, England : , : IntechOpen, , [2018]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Inpainting and Denoising Challenges / / edited by Sergio Escalera, Stephane Ayache, Jun Wan, Meysam Madadi, Umut Güçlü, Xavier Baró
Inpainting and Denoising Challenges / / edited by Sergio Escalera, Stephane Ayache, Jun Wan, Meysam Madadi, Umut Güçlü, Xavier Baró
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (151 pages)
Disciplina 621.3822
Collana The Springer Series on Challenges in Machine Learning
Soggetto topico Artificial intelligence
Optical data processing
Pattern perception
Artificial Intelligence
Image Processing and Computer Vision
Pattern Recognition
ISBN 3-030-25614-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. A Brief Review of Image Denoising Algorithms and Beyond -- 2. ChaLearn Looking at People: Inpainting and Denoising Challenges -- 3. U-Finger: Multi-Scale Dilated Convolutional Network for Fingerprint Image Denoising and Inpainting -- 4. FPD-M-net: Fingerprint Image Denoising and Inpainting Using M-Net Based Convolutional Neural Networks -- 5. Iterative Application of Autoencoders for Video Inpainting and Fingerprint Denoising -- 6. Video DeCaptioning using U-Net with Stacked Dilated Convolutional Layers -- 7. Joint Caption Detection and Inpainting using Generative Network -- 8. Generative Image Inpainting for Person Pose Generation -- 9. Person Inpainting with Generative Adversarial Networks -- 10. Road Layout Understanding by Generative Adversarial Inpainting -- 11. Photo-realistic and Robust Inpainting of Faces using Refinement GANs.
Record Nr. UNINA-9910349272303321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The NeurIPS '18 Competition [[electronic resource] ] : From Machine Learning to Intelligent Conversations / / edited by Sergio Escalera, Ralf Herbrich
The NeurIPS '18 Competition [[electronic resource] ] : From Machine Learning to Intelligent Conversations / / edited by Sergio Escalera, Ralf Herbrich
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (345 pages)
Disciplina 006.3
Collana The Springer Series on Challenges in Machine Learning
Soggetto topico Artificial intelligence
Optical data processing
Pattern recognition
Artificial Intelligence
Image Processing and Computer Vision
Pattern Recognition
ISBN 3-030-29135-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996465462403316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
The NeurIPS '18 Competition : From Machine Learning to Intelligent Conversations / / edited by Sergio Escalera, Ralf Herbrich
The NeurIPS '18 Competition : From Machine Learning to Intelligent Conversations / / edited by Sergio Escalera, Ralf Herbrich
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (345 pages)
Disciplina 006.3
Collana The Springer Series on Challenges in Machine Learning
Soggetto topico Artificial intelligence
Optical data processing
Pattern perception
Artificial Intelligence
Image Processing and Computer Vision
Pattern Recognition
ISBN 3-030-29135-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910366659803321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The NIPS '17 Competition: Building Intelligent Systems / / edited by Sergio Escalera, Markus Weimer
The NIPS '17 Competition: Building Intelligent Systems / / edited by Sergio Escalera, Markus Weimer
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (290 pages)
Disciplina 006.31
Collana The Springer Series on Challenges in Machine Learning
Soggetto topico Artificial intelligence
Optical data processing
Pattern perception
Artificial Intelligence
Image Processing and Computer Vision
Pattern Recognition
ISBN 3-319-94042-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910299357403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Statistical Machine Learning for Human Behaviour Analysis
Statistical Machine Learning for Human Behaviour Analysis
Autore Moeslund Thomas
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica 1 online resource (300 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato 3D convolutional neural networks
accuracy
action recognition
adaptive classifiers
age classification
attention allocation
attention behavior
biometric recognition
blurring detection
body movements
boundary segmentation
categorical data
committee of classifiers
concept drift
context-aware framework
convolutional neural network
deep learning
discrete stationary wavelet transform
emotion recognition
Empatica E4
ensemble methods
face analysis
face segmentation
false negative rate
fibromyalgia
fingerprint image enhancement
fingerprint quality
foggy image
frequency domain
gait event
gender classification
gestures
hand sign language
head pose estimation
hybrid entropy
individual behavior estimation
information entropy
interpretable machine learning
k-means clustering
Kinect sensor
Learning Using Concave and Convex Kernels
multi-modal
multi-objective evolutionary algorithms
multimodal-based human identification
neural networks
noisy image
object contour detection
privacy
privacy-aware
profoundly deaf
recurrent concepts
restricted Boltzmann machine (RBM)
rule-based classifiers
saliency detection
self-reported survey
silhouettes difference
single pixel single photon image acquisition
singular point detection
spatial domain
spectrograms
speech
speech emotion recognition
statistical-based time-frequency domain and crowd condition
stock price direction prediction
time-of-flight
toe-off detection
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557288403321
Moeslund Thomas  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui

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