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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
Computer vision Pattern recognition systems Artificial Intelligence Computer Vision Automated 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
Computer vision Pattern recognition systems Artificial Intelligence Computer Vision Automated 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 | ||
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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
Computer vision Pattern recognition systems Artificial Intelligence Computer Vision Automated 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 | ||
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Introduction to Data Science : A Python Approach to Concepts, Techniques and Applications / / by Laura Igual, Santi Seguí
| Introduction to Data Science : A Python Approach to Concepts, Techniques and Applications / / by Laura Igual, Santi Seguí |
| Autore | Igual Laura |
| Edizione | [2nd ed. 2024.] |
| Pubbl/distr/stampa | Springer Nature, 2024 |
| Descrizione fisica | 1 online resource (255 pages) |
| Disciplina | 005.133 |
| Altri autori (Persone) |
VitriàJordi
PuertasEloi RadevaPetia PujolOriol EscaleraSergio DantíFrancesc |
| Collana | Undergraduate Topics in Computer Science |
| Soggetto topico |
Artificial intelligence - Data processing
Data mining Python (Computer program language) Artificial intelligence Data Science Data Mining and Knowledge Discovery Python Artificial Intelligence |
| ISBN |
9783031489563
303148956X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Introduction to Data Science -- 2. Toolboxes for Data Scientists -- 3. Descriptive statistics -- 4. Statistical Inference -- 5. Supervised Learning -- 6. Regression Analysis -- 7. Unsupervised Learning -- 8. Network Analysis -- 9. Recommender Systems -- 10. Statistical Natural Language Processing for Sentiment Analysis -- 11. Parallel Computing. |
| Record Nr. | UNINA-9910847576503321 |
Igual Laura
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| Springer Nature, 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 | ||
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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
Computer vision Pattern recognition systems Artificial Intelligence Computer Vision Automated 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 | ||
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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
Computer vision Pattern recognition systems Artificial Intelligence Computer Vision Automated 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 | ||
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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 |
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Moeslund Thomas
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Topological Data Analysis for Neural Networks / / by Rubén Ballester, Carles Casacuberta, Sergio Escalera
| Topological Data Analysis for Neural Networks / / by Rubén Ballester, Carles Casacuberta, Sergio Escalera |
| Autore | Ballester Rubén |
| Edizione | [1st ed. 2026.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
| Descrizione fisica | 1 online resource (180 pages) |
| Disciplina | 006.31 |
| Altri autori (Persone) |
CasacubertaCarles
EscaleraSergio |
| Collana | SpringerBriefs in Computer Science |
| Soggetto topico |
Machine learning
Artificial intelligence Artificial intelligence - Data processing Neural networks (Computer science) Computer science - Mathematics Topology Machine Learning Artificial Intelligence Data Science Mathematical Models of Cognitive Processes and Neural Networks Mathematical Applications in Computer Science |
| ISBN |
3-032-08283-8
9783032082831 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Introduction -- Part I Fundamentals -- Chapter 2. Deep Learning -- Chapter 3. Topological Data Analysis -- Part II Interactions -- Chapter 4. Challenges in Deep Learning -- Chapter 5. Input and Output Spaces -- Chapter 6. Internal Representations and Activations -- Chapter 7. Training Dynamics and Loss Functions -- Chapter 8. Challenges, Future Directions, and Conclusions. |
| Record Nr. | UNINA-9911114381703321 |
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Ballester Rubén
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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