Deep Learning Theory and Applications : 5th International Conference, DeLTA 2024, Dijon, France, July 10–11, 2024, Proceedings, Part II / edited by Ana Fred, Allel Hadjali, Oleg Gusikhin, Carlo Sansone.

Format:

Book

Author/Creator:

Fred, Ana.

Contributor:

Hadjali, Allel.

Gusikhin, Oleg.

Sansone, Carlo.

Series:

Communications in Computer and Information Science, 1865-0937 ; 2172

Language:

English

Subjects (All):

Artificial intelligence.

Machine learning.

Application software.

Data mining.

Natural language processing (Computer science).

Artificial Intelligence.

Machine Learning.

Computer and Information Systems Applications.

Data Mining and Knowledge Discovery.

Natural Language Processing (NLP).

Local Subjects:

Artificial Intelligence.

Machine Learning.

Computer and Information Systems Applications.

Data Mining and Knowledge Discovery.

Natural Language Processing (NLP).

Physical Description:

1 online resource (404 pages)

Edition:

1st ed. 2024.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2024.

Summary:

The two-volume set CCIS 2171 and 2172 constitutes the refereed papers from the 5th INternational Conference on Deep Learning Theory and Applications, DeLTA 2024, which took place in Dijon, France, during July 10-11, 2024. The 44 papers included in these proceedings were carefully reviewed and selected from a total of 70 submissions. They focus on topics such as deep learning and big data analytics; machine-learning and artificial intelligence, etc. .

Contents:

Geometrical Realization for Time Series Forecasting

Brains over Brawn: Small AI Labs in the Age of Datacenter-Scale Compute

Time Series Prediction for Anomalies Detection in Concentrating Solar Power Plants Using Long Short-Term Memory N Networks

Bayes Classification Using an Approximation to the Joint Probability Distribution of the Attributes

Pollutant Source Localization Based on Siamese Neural Network Similarity Measure

Automatic Emotion Analysis in Movies: Matteo Garrone’s Dogman as a Case Study

Empowering Cybersecurity: CyberShield AI Advanced Integration of Machine Learning and Deep Learning for Dynamic Ransomware Detection

Empirical Performance of Deep Learning Models with Class Imbalance for Crop Disease Classification

Automating the Conducting of Surveys Using Large Language Models

Computer Vision Based Monitoring System for Flotation in Mining Industry 4.0

Self-Supervised Learning for Robust Surface Defect Detection

Efficient Deep Neural Network Verification with QAP-Based zkSNARK

Version 8 of YOLO for Wildfire Detection

Investigating a Semantic Similarity Loss Function for the Parallel Training of Abstractive and Extractive Scientific Document Summarizers

Deep Learning-Based Preprocessing Tools for Turkish Natural Language Processing

Skin Cancer Classification: A Comparison of CNN-Backbones for Feature-Extraction

Multilingual Detection of Cyberbullying on Social Networks Using a Fine-Tuned GPT-3.5 Model

Detecting Big-5 Personality Dimensions from Text Based on Large Language Models

ME-ODAL: Mixture-of-Experts Ensemble of CNN Models for 3D Object Detection from Automotive LiDAR Point Clouds

BitNet b1.58 Reloaded: State-of-the-Art Performance Also on Smaller Networks

Deep Learning for Cattle Face Identification

OBBabyFace: Oriented Bounding Box for Infant Face Detection

EEG-Based Patient Independent Epileptic Seizure Detection Using GCN-BRF

Predicting Components of a Target Value Versus Predicting the Target Value Directly.

Notes:

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Fred, Ana Deep Learning Theory and Applications

ISBN:

9783031667053

OCLC:

1453196290