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The 2x2 Matrix : Contingency, Confusion and the Metrics of Binary Classification / / by A. J. Larner
| The 2x2 Matrix : Contingency, Confusion and the Metrics of Binary Classification / / by A. J. Larner |
| Autore | Larner A. J |
| Edizione | [2nd ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (262 pages) |
| Disciplina | 570.15195 |
| Collana | Medicine Series |
| Soggetto topico |
Biometry
Neurology Medical informatics Machine learning Biostatistics Health Informatics Machine Learning Biometria Neurologia Informàtica mèdica Aprenentatge automàtic |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783031471940
3031471946 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Paired measures -- Paired complementary measures -- Unitary measures -- Number needed (reciprocal) measures and their combinations as likelihoods -- Quality (Q) measures -- Graphing methods -- Other measures, other tables -- Classification of metrics of binary classification. |
| Record Nr. | UNINA-9910799487003321 |
Larner A. J
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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3D point cloud analysis : traditional, deep learning, and explainable machine learning methods / / Shan Liu
| 3D point cloud analysis : traditional, deep learning, and explainable machine learning methods / / Shan Liu |
| Autore | Liu Songbin |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (156 pages) |
| Disciplina | 006.37 |
| Soggetto topico |
Visió per ordinador
Aprenentatge automàtic Machine learning |
| ISBN | 3-030-89180-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910513688503321 |
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Liu Songbin
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| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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3D point cloud analysis : traditional, deep learning, and explainable machine learning methods / / Shan Liu
| 3D point cloud analysis : traditional, deep learning, and explainable machine learning methods / / Shan Liu |
| Autore | Liu Songbin |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (156 pages) |
| Disciplina | 006.37 |
| Soggetto topico |
Visió per ordinador
Aprenentatge automàtic Machine learning |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-89180-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996466555003316 |
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Liu Songbin
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| Cham, Switzerland : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Accelerating Discoveries in Data Science and Artificial Intelligence I : ICDSAI 2023, LIET Vizianagaram, India, April 24–25 / / edited by Frank M. Lin, Ashokkumar Patel, Nishtha Kesswani, Bosubabu Sambana
| Accelerating Discoveries in Data Science and Artificial Intelligence I : ICDSAI 2023, LIET Vizianagaram, India, April 24–25 / / edited by Frank M. Lin, Ashokkumar Patel, Nishtha Kesswani, Bosubabu Sambana |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (862 pages) |
| Disciplina | 006.3 |
| Collana | Springer Proceedings in Mathematics & Statistics |
| Soggetto topico |
Probabilities
Machine learning Mathematical statistics Quantitative research Probability Theory Machine Learning Mathematical Statistics Data Analysis and Big Data Probabilitats Aprenentatge automàtic Estadística matemàtica Investigació quantitativa |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-031-51167-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Analysis of fraud detection approaches in online payment systems (Mandakini) -- Investigating Context-Aware Sentiment Classification Using Machine Learning Algorithms (P. Kiumar) -- Opioid Recommendation To Arthroplasty Patients Using Pearson Correlation And Shapiro Wilk Test (R Sindhi) -- POS Tagger Using LSTM and Pre-Trained Word Embeddings (Joshi) -- An early-stage colorectal cancer detection from colonoscopy images using Enhanced Res-UNET (Mahanty) -- Prediction of Rice Leaf Diseases at an Early Stage using Deep Neural Networks (Mahanty) -- A Study of the impact of implementing a procedure for Creation of Risk Factor Software (Sriramulu) -- Chat Analysis and Spam Detection of Whatsapp using Machine Learning (Shaik) -- A Study of Hate Speech Detection Using Different Models (Mihir) -- Image Feature Narrator for Blind (R Soujanya) -- Recognition of Indian gestural language through neural networks: Narrative approach (Akula) -- Frequency and Voltage control of multi area multi source power system using whale optimization algorithm (Simhadri) -- Tumor Prediction Using Microarray Gene Expression Profiles Through SVM and CBFS (Bandyopadhyay) -- Advanced Machine Learning Approaches for Improving Traffic Flow Predictions in Smart Transportation Systems (Kanakaprabha) -- Deep Learning Based Surroundings Descriptor for Visually Challenged (Kasireddi) -- Wind power prediction using artificial neural network model : a case study (Bouabdallaoui) -- Optimizing Wind Farm Design by Incorporating Wind Turbines of Diverse Hub Heights through PSO (El jaadi) -- Use of Regression Algorithm for Bike Ride Sharing Demand Projection (Pangaonkar) -- Quantifiable Techniques To Improve Covid Expectation Model Of Cox Regression (G Priyanka) -- Bayesian Optimized Random Forest Classifier for Improved Credit Card Fraud Detection: Overcoming Challenges and Limitations (P K Rajesh) -- Early Stage Detection Of Pcos Using Deep Learning (Venkata) -- Challenges and advancement in Federated Recommendation System: A Comprehensive Review (Otari) -- Conditional DCGAN for Targeted Generation of MNIST Handwritten Digits (Vasamsetti) -- Predicting Cryptocurrency Price Using Multiple Deep Learning Models (Durga) -- An Overview: Progressive Report on Magic Labelling (Biswas) -- Efficient Object Detection, Segmentation, and Recognition using YOLO Model (Sharma) -- Music Genre Classification using XGB Boost (Himabindu) -- Semantic Web 3.0 Streaming Based Music Application (Shaik) -- A Novel Approach for Text Classification using Feature Selection Algorithm and Term Weight Measures (RaviKumar) -- Content Based Music Video Recommender system using Cosine Similarity (Musarrath) -- A comparative study on Anomaly Based Network Intrusion Detection System (Potti) -- A spatiotemporal comprehensive graph based learning for GIF sentiment analysis (Bhattacharyya) -- A Novel Framework for Detection of Objects from Video Using Deep Learning Technique (Mulla) -- Recognition of Emotion behind Speech using Deep Learning RESNET Algorithm (Pinnamaraju) -- Exploring Sign Language Recognition Methods: An Effective Kernel Approach (Manogna) -- Identification of Gradient based Attacks on Autonomous Vehicle Traffic Recognition system using Statistical method (Lakshmeeswari) -- Sentiment Analysis of Tweets Using TF-IDF Vectorizer and Lemmatization with POS-Tagging (Saripilli) -- An Overview of Interval-valued Intuitionistic Trapezoidal Fuzzy Number (IVITFN) and its Applications using Fuzzy Logic Techniques (Murty) -- A Machine Learning Approach for DDoS attacks detection in CIC-DDoS2019 dataset using Multiple linear regression algorithm (Lakshmeeswari) -- Image Fusion With CT And MRI Images For Improving The Quality Of Diagnostic (Shaik) -- Comparative Analysis Of Lung Sac Inflation (Kakulapati) -- Voice Assistant For Driver Drowsiness Detection (Gondi) -- Prediction Using Sentiment Analysis On Multi Domain Category: Stocks, Politics Using Twitter Repository (Gaviredla) -- Hyperparameter Optimization for Gradient Boosted Tree-Based Machine Learning Models and Their Effect on Model Performance (Abdulkader) -- Medical Data Security with Blockchain and Artificial Intelligence Using SecNet (Laxmikanth) -- A Regression Analysis of iPhone 11 Pricing Factors (Umesh) -- Classification of Alzheimer's Disease using deep learning methodologies on MR Images (Kumar) -- Taxonomy of Intrusion detection and its effectiveness in Internet of Things (Ramakrishna) -- Design And Evaluation Of Plant Leaf Disease Detection Based On Cnn Classification System (Ramakrishna) -- Air Pollution Forecasting using Deep Learning algorithms: A Review (M S Rao) -- Health Care Monitoring System using Artificial Intelligence for Diabetic Skin Diseases (Godi) -- Proposed framework for a doctor appointment using Chatbot in Tanzania (Chatumba) -- Blockchain-Based Ether Transmission, Which Gives Ledgers Transparency And Security (Tippana) -- Fruit Identification And Classification Using Machine Learning (Reddy) -- Impact of Covid-19 in Society and review of Machine Learning Algorithm in Diagnosis (Sivaramakrishnan) -- Medicinal Leaf Prediction and Disease Identification using Machine Learning Techniques (Srinivasa Rao) -- Deep Learning Approach For Expression Based Songs Recommendation System (Shaik) -- System Sound Control Using Gesticulations (Uzair) -- Modified Holographic Ricci Dark Energy Cosmological Model in Modified theory of Gravity (Satyanarayana) -- Web Application for detecting churn prediction in Banking using ANN (Kharat) -- Providing Security Properties Of Cloud Service Using Rest Api’s (Laxmikanth) -- Study and Research on Autism Spectrum Disorder using Supervised Machine Learning Techniques (Nekkanti) -- Semi-Automated Vehicle Controlled Using Wi-Fi (Dhanush) -- Disease Identification System for Aura Images Using Fruit Fly Optimization (FAO) Technique (Poojary) -- Hybrid Movie Recommendation System Based on User Preferences and Item Similarity (Bugatha) -- Comparison of Artificial Intelligentsystems for real time accident prone applications (Rao) -- Hand Talk Assistance With Tensorflow Single Shot Detector (Priyanka) -- A New Text Representation Technique based Approach for Authorship Verification (Reddy) -- Early Recognition And Ranking Of Knee Osteoarthritis By The Assistance Of Enhanced Deep Learning On Knee MR Image Data (Molleti) -- Smart Blind Stick with Wrist band: Obstacle Detection and Warning System (Ramyadevi) -- Crop Recommendation System Using Machine Learning (Grandhi) -- Exploring Public Perception and Opinion Trends on Agnipath Scheme through Sentiment Analysis and Topic Modeling of Tweets (Shaik) -- A Feature Selection Technique based Approach for Author Profiling using Word Embedding Techniques (Kavuri) -- Pothole Detection Using IOT To Help People (Bada) -- Machine Learning enhanced Diabetes Identification System (Adimalla) -- Diabetes Identification System using Machine Learning (Sambana) -- Identification & Analysis of neural disorders based on hyperactivityand spectrum disorder with functional-MRI (Bala) -- Review Analysis Using Web Scraping in Python (Roy) -- A Novel Approach Of Deep Neural Network Performance Analysis For Predicting Chronic Kidney Disease (Ramakrishna) -- A Stroke Complication Neural Network Model to Predict the Severity of Brain Stroke Using Family History (Bandi) -- Automating Curriculum Vitae Recommendation Processes through Machine Learning (Laxikanth) -- Application Controlling Using Hand Gestures Through Yolov5s (Chadram) -- Chili Leaves Disease Identification using Artificial Neural Network Algorithms (kantharaju). |
| Record Nr. | UNINA-9910865293703321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Accelerating Discoveries in Data Science and Artificial Intelligence II : ICDSAI 2023, LIET Vizianagaram, India, April 24–25 / / edited by Frank M. Lin, Ashokkumar Patel, Nishtha Kesswani, Bosubabu Sambana
| Accelerating Discoveries in Data Science and Artificial Intelligence II : ICDSAI 2023, LIET Vizianagaram, India, April 24–25 / / edited by Frank M. Lin, Ashokkumar Patel, Nishtha Kesswani, Bosubabu Sambana |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (377 pages) |
| Disciplina | 006.31 |
| Collana | Springer Proceedings in Mathematics & Statistics |
| Soggetto topico |
Computer science - Mathematics
Probabilities Machine learning Information visualization Mathematical Applications in Computer Science Probability Theory Machine Learning Data and Information Visualization Informàtica Aplicacions (Matemàtica) Probabilitats Aprenentatge automàtic Visualització de la informació |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-031-51163-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Mood-Based Music Recommendation System (Sravanthi) -- Internet Employment Detection Scam Via Fake Jobs With Random Forest Classifier (Madhavi) -- Sentiment Analysis and Age Factor Influences on Brand usage of Personal Care Products: A Study with Reference to Visakhapatnam City, in India (Tuduku) -- Construction of Pythagorean and Reciprocal Pythagorean n-tuples (Srinivas) -- Statistical Approaches for Forecasting Air pollution: A review (Rao) -- Computer-Assisted Statistical Analysis of L-Methionine Protonation Equilibria in The Anionic, Cationic, and Neutral Micellar Systems (R Neeraja) -- A Study on Benefits of Continuous Integration and Continuous Delivery in Software Engineering (Reddy) -- A Review on Mango Fruit Disease Detection and pesticide Suggestion (Reddy) -- Multikeyword Ranked Search With Privacy Protection Over Encrypted Cloud Data (Saranya) -- BERT based Similarity Measures Oriented Approach for Style Change Detection (Mohan) -- Computer Vision Based Malpractice Detection System (AnnanNaidu) -- The evolution of Influence maximization studies: A scientometric analysis (M Venunath) -- A Survey on Evolving Optimal Cryptographic Techniques in Cloud Computing Data Forensics (Pinnamaraju) -- DR-HIPI: Performance evaluation of retinal images for DR lesion segmentation using the HIPI architecture (Devi) -- Adaptability of Robotic Process Automation and Capabilities of Human Automation (Midde) -- A brief Review on Impact of Digital Trading on Conventional marketing Strategies after covid-19 effect on E-Commerce (Tuduku) -- Fall Support Assistant Application (Sivaramakrishnan) -- A Systematic VANET traffic congestion by eliminating recursion using Intervention Linear Minimum Spanning Tree (ILMST) for Traffic Management System (Sahu) -- Realtime Object Cloning in Augmented Reality using BASnet and Screenpoint Algorithms (Adimalla) -- Maximization Of Energy-Efficiency For Optimal Spectral Efficiency In Massive Mimo System (Borugadda) -- OptimizationOf Spectral Efficiency Using Precoding Techniques In Multi Cell Massive Mimo (Borugadda) -- The effect of prerequisite engineering processes on the production of risk factors in software development (Akula) -- Comparison of Channel Equalization Schemes for MIMO-OFDM (Sujatha) -- QoS Enhancement through Link-Quality Prediction using Signal-To-Noise Ratio in MANET (Viswanath) -- Credential Manager using Cloud Computing (Shaik) -- Accident Detection, Alert and Tracking System Based on IoT (Sivaramakrishnan) -- Real time storage in cloud and access control policies using blockchain (Pranitha) -- Artificial Intelligence and Internet of Things Applications in Smart Grid Security: A survey (Inala) -- An Optimized Mechanism to Improve the Performance of Proxy Mobile Ipv6 Using Augmented Open-Flow Technique (Indumathi) -- A Secure way to Message based on Internet Protocol on RSA algorithm using DNA encoding with Laplace Transform Computing (Nagalakshmi) -- An Integrated Information Security Risk Assessment (IISRA) Approach (Dixit) -- Congestion Control and Avoidance Scheme using Mobile Nodes in Wireless Sensor Network (Suma).-. ATOMATIC IOT AND MACHINE LEARNING BASED TOLL COLLECTION SYSTEM FOR MOVING VEHICLES (Sridhar) -- Hack Investigation and Probing using BEOS (Sridevi). |
| Record Nr. | UNINA-9910857784003321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Accountable and Explainable Methods for Complex Reasoning over Text / / by Pepa Atanasova
| Accountable and Explainable Methods for Complex Reasoning over Text / / by Pepa Atanasova |
| Autore | Atanasova Pepa |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (208 pages) |
| Disciplina | 006.31 |
| Soggetto topico |
Natural language processing (Computer science)
Information storage and retrieval systems Machine learning Natural Language Processing (NLP) Information Storage and Retrieval Machine Learning Aprenentatge automàtic Tractament del llenguatge natural (Informàtica) Sistemes d'informació |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-031-51518-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Executive Summary -- Part I: Accountability for Complex Reasoning Tasks over Text -- 2. Fact Checking with Insufficient Evidence -- 3. Generating Label Cohesive and Well-Formed Adversarial Claims -- Part II: Explainability for Complex Reasoning Tasks over Text -- 4. Generating Fact Checking Explanations -- 5. Generating Fluent Fact Checking Explanations with Unsupervised Post-Editing -- 6. Multi-Hop Fact Checking of Political Claims -- Part III: Diagnostic Explainability Methods -- 7. A Diagnostic Study of Explainability Techniques for Text Classification -- 8. Diagnostics-Guided Explanation Generation -- 9. Recent Developments on Accountability and Explainability for Complex Reasoning Tasks. |
| Record Nr. | UNINA-9910847589903321 |
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Atanasova Pepa
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Analytics and Learning on Temporal Data : 8th ECML PKDD Workshop, AALTD 2023, Turin, Italy, September 18–22, 2023, Revised Selected Papers / / edited by Georgiana Ifrim, Romain Tavenard, Anthony Bagnall, Patrick Schaefer, Simon Malinowski, Thomas Guyet, Vincent Lemaire
| Advanced Analytics and Learning on Temporal Data : 8th ECML PKDD Workshop, AALTD 2023, Turin, Italy, September 18–22, 2023, Revised Selected Papers / / edited by Georgiana Ifrim, Romain Tavenard, Anthony Bagnall, Patrick Schaefer, Simon Malinowski, Thomas Guyet, Vincent Lemaire |
| Autore | Ifrim Georgiana |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (315 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
TavenardRomain
BagnallAnthony SchaeferPatrick MalinowskiSimon GuyetThomas LemaireVincent |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Artificial Intelligence Aprenentatge automàtic Mineria de dades Reconeixement de formes (Informàtica) Intel·ligència artificial |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 9783031498961 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Human Activity Segmentation Challenge -- Human Activity Segmentation Challenge@ECML/PKDD’23 -- Change points detection in multivariate signal applied to human activity segmentation -- Change Point Detection via Synthetic Signals -- Oral Presentation -- Clustering time series with k-medoids based algorithms -- Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting -- RED CoMETS: an ensemble classifier for symbolically represented multivariate time series -- Deep Long Term Prediction for Semantic Segmentation in Autonomous Driving -- Extracting Features from Random Subseries: A Hybrid Pipeline for Time Series Classification and Extrinsic Regression -- ShapeDBA: Generating Effective Time Series Prototypes using ShapeDTW Barycenter Averaging -- Poster Presentation -- Temporal Performance Prediction for Deep Convolutional Long Short-Term Memory Networks -- Evaluating Explanation Methods for Multivariate Time Series Classification -- tGLAD: A sparse graph recovery based approach for multivariate time series segmentation -- Designing a New Search Space for Multivariate Time-Series Neural Architecture Search -- Back to Basics: A Sanity Check on Modern Time Series Classification Algorithms -- Do Cows Have Fingerprints? Using Time Series Techniques and Milk Flow Profiles to Characterise Cow Behaviours and Detect Health Issues -- Exploiting Context and Attention with Recurrent Neural Network for Sensor Time Series Prediction -- Rail Crack Propagation Forecasting Using Multi-horizons RNNs -- Electricity Load and Peak Forecasting: Feature Engineering, Probabilistic LightGBM and Temporal Hierarchies -- Time-aware Predictions of Moments of Change in Longitudinal User Posts on Social Media. |
| Record Nr. | UNINA-9910770262003321 |
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Ifrim Georgiana
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Concepts for Intelligent Vision Systems : 21st International Conference, ACIVS 2023 Kumamoto, Japan, August 21–23, 2023 Proceedings / / edited by Jaques Blanc-Talon, Patrice Delmas, Wilfried Philips, Paul Scheunders
| Advanced Concepts for Intelligent Vision Systems : 21st International Conference, ACIVS 2023 Kumamoto, Japan, August 21–23, 2023 Proceedings / / edited by Jaques Blanc-Talon, Patrice Delmas, Wilfried Philips, Paul Scheunders |
| Autore | Blanc-Talon Jaques |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (397 pages) |
| Disciplina | 006.37 |
| Altri autori (Persone) |
DelmasPatrice
PhilipsWilfried ScheundersPaul |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer vision
Biometric identification Image processing Robotics Computer Vision Biometrics Image Processing Visió per ordinador Processament d'imatges Robòtica Identificació biomètrica Interacció persona-ordinador Aprenentatge automàtic Drons |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN |
9783031453823
3031453824 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A hybrid quantum-classical segment-based Stereo Matching algorithm -- Continuous Exposure for Extreme Low-Light Imaging -- Semi-supervised Classification and Segmentation of Forest Fire using Autoencoders -- Descriptive and coherent paragraph generation for image paragraph captioning using vision transformer and post-processing -- Pyramid Swin Transformer for Multi-Task: Expanding to more computer vision tasks -- Person activity classification from an aerial sensor based on a multi-level deep features -- Person Quick-Search Approach based on a Facial Semantic Attributes Description -- Age-Invariant Face Recognition using Face Feature Vectors and Embedded Prototype Subspace Classifiers -- BENet: A lightweight bottom-up framework for context-aware emotion recognition -- Yolopoint: Joint Keypoint and Object Detection -- Less-than-one shot 3d segmentation hijacking a pre-trained space-time memory network -- Segmentation of Range-Azimuth Maps of FMCW radars with a deep convolutional neural network -- Segmentation of Range-Azimuth Maps of FMCW radars with a deep convolutional neural network -- A Single Image Neuro-Geometric Depth Estimation -- Wave-shaping Neural Activation for Improved 3D Model Reconstruction from Sparse Point Clouds -- A Deep Learning Approach to Segment High-Content Images of the E.coli Bacteria -- Multimodal Emotion Recognition System Through Three Different Channels (MER-3C) -- Multi-Modal Obstacle Avoidance in USVs via Anomaly Detection and Cascaded Datasets -- A Contrario Mosaic Analysis for Image Forensics -- IRIS SEGMENTATION TECHNIQUE USING IRIS-UNet METHOD -- Image Acquisition by Image Retrieval with Color Aesthetics -- Improved Obstructed Facial Feature Reconstruction for Emotion Recognition with Minimal Change CycleGANs -- Quality assessment for high dynamic range stereoscopic omnidirectional image system -- Genetic Programming with Convolutional Operators for Albatross Nest Detection from Satellite Imaging -- Reinforcement Learning for truck Eco-driving: a serious game as driving assistance system -- Underwater mussel segmentation using smoothed shape descriptors with random forest -- A 2D Cortical Flat Map Space for Computationally Efficient Mammalian Brain simulation -- Construction of a novel data set for pedestrian tree species detection using google street view data -- Texture-based Data Augmentation for Small Datasets -- Multimodal Representations for Teacher-Guided Compositional Visual Reasoning -- Enhanced Color QR Codes with Resilient Error Correction for Dirt-Prone Surfaces. |
| Record Nr. | UNINA-9910763600503321 |
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Blanc-Talon Jaques
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Machine Learning Approaches in Cancer Prognosis : Challenges and Applications / / edited by Janmenjoy Nayak, Margarita N. Favorskaya, Seema Jain, Bighnaraj Naik, Manohar Mishra
| Advanced Machine Learning Approaches in Cancer Prognosis : Challenges and Applications / / edited by Janmenjoy Nayak, Margarita N. Favorskaya, Seema Jain, Bighnaraj Naik, Manohar Mishra |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (461 pages) |
| Disciplina | 006.31 |
| Collana | Intelligent Systems Reference Library |
| Soggetto topico |
Computational intelligence
Medicine - Research Biology - Research Machine learning Computational Intelligence Biomedical Research Machine Learning Càncer Pronòstic mèdic Innovacions tecnològiques Intel·ligència artificial en medicina Aprenentatge automàtic |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-71975-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Advances in Machine Learning Approaches in Cancer Prognosis -- Data Analysis on Cancer Disease using Machine Learning Techniques -- Learning from multiple modalities of imaging data for cancer detection/diagnosis -- Neural Network for Lung Cancer diagnosis -- Improved Thyroid Disease Prediction Model Using Data Mining Techniques with Outlier Detection -- Automated Breast Cancer Diagnosis Based on Neural Network Algorithms. . |
| Record Nr. | UNINA-9910482988603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Machine Learning with Evolutionary and Metaheuristic Techniques / / edited by Jayaraman Valadi, Krishna Pratap Singh, Muneendra Ojha, Patrick Siarry
| Advanced Machine Learning with Evolutionary and Metaheuristic Techniques / / edited by Jayaraman Valadi, Krishna Pratap Singh, Muneendra Ojha, Patrick Siarry |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (X, 362 p. 1 illus.) |
| Disciplina | 006.31 |
| Collana | Computational Intelligence Methods and Applications |
| Soggetto topico |
Machine learning
Medical informatics Machine Learning Health Informatics Aprenentatge automàtic Informàtica mèdica |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9789819997183
9819997186 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. From Evolution to Intelligence: Exploring the Synergy of Optimization and Machine Learning -- Chapter 2. Metaheuristic and Evolutionary Algorithms in Ex-plainable Artificial Intelligence -- Chapter 3. Evolutionary Dynamic Optimization and Machine Learning -- Chapter 4. Evolutionary Techniques in making Efficient Deep-Learning Framework: A Review -- Chapter 5. Integrating Particle Swarm Optimization with Reinforcement Learning: A Promising Approach to Optimization -- Chapter 6. Synergies between Natural Language Processing and Swarm Intelligence Optimization: A Comprehensive Overview -- Chapter 7. Heuristics-based Hyperparameter Tuning for Transfer Learning Algorithms -- Chapter 8. Machine Learning Applications of Evolutionary and Metaheuristic Algorithms -- Chapter 9. Machine Learning Assisted Metaheuristic Based Optimization of Mixed Suspension Mixed Product Removal Process -- Chapter 10. Machine Learning based Intelligent RPL Attack Detection System for IoT Networks -- Chapter 11. Shallow and Deep Evolutionary Neural Networks applications in Solid Mechanics -- Chapter 12. Polymer and nanocomposite Informatics: Recent Applications of Artificial Intelligence and Data Repositories -- Chapter 13. Synergistic combination of machine learning and evolutionary and heuristic algorithms for handling imbalance in biological and biomedical datasets. |
| Record Nr. | UNINA-9910851981503321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Aprenentatge automàtic
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- Machine learning (239)
- Machine Learning (210)
- Artificial intelligence (134)
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