Relevant bibliographies by topics / F1-score

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic 'F1-score'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'F1-score.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "F1-score"

1

Yarlagadda, Sneha Sree, Sai Harshith Tule, and Karthik Myada. "F1 Score Based Weighted Asynchronous Federated Learning." International Journal for Research in Applied Science and Engineering Technology 12, no. 2 (2024): 947–53. http://dx.doi.org/10.22214/ijraset.2024.58487.

Full text
Abstract:
Abstract: The domain of federated learning has observed remarkable developments in recent years, enabling collaborative model training while preserving data privacy. This paper discusses several recent advancements in the field of federated learning, particularly in asynchronous and weighted federated learning. A novel approach within the federated learning paradigm titled "F1 Score Based Weighted Asynchronous Federated Learning" is introduced. The approach addresses issues of biased aggregation and device heterogeneity by assigning weights to devices based on their F1 scores, prioritizing tho
APA, Harvard, Vancouver, ISO, and other styles
2

López-Viñas, Laura, Jose L. Ayala, and Francisco Javier Pardo Moreno. "Real-Time Computing Strategies for Automatic Detection of EEG Seizures in ICU." Applied Sciences 14, no. 24 (2024): 11616. https://doi.org/10.3390/app142411616.

Full text
Abstract:
Developing interfaces for seizure diagnosis, often challenging to detect visually, is rising. However, their effectiveness is constrained by the need for diverse and extensive databases. This study aimed to create a seizure detection methodology incorporating detailed information from each EEG channel and accounts for frequency band variations linked to the primary brain pathology leading to ICU admission, enhancing our ability to identify epilepsy onset. This study involved 460 video-electroencephalography recordings from 71 patients under monitoring. We applied signal preprocessing and condu
APA, Harvard, Vancouver, ISO, and other styles
3

Sushkov, A. I., M. V. Popov, V. S. Rudakov, et al. "Comparative analysis of models predicting the risks of early poor outcome of deceased-donor liver transplantation: a retrospective single-center study." Transplantologiya. The Russian Journal of Transplantation 15, no. 3 (2023): 312–33. http://dx.doi.org/10.23873/2074-0506-2023-15-3-312-333.

Full text
Abstract:
Rationale. The risk of early graft loss determines the specifics and plan of anesthesiological assistance, intensive therapy, and overall the feasibility of liver transplantation. Various prognostic models and criteria have become widespread abroad; however, Russian transplant centers have not yet validated them.Objective. To evaluate the applicability and accuracy of the most common models predicting the risks of early adverse outcomes in liver transplantation from deceased donors.Material and methods. A retrospective single-center study included data on 131 liver transplantations from deceas
APA, Harvard, Vancouver, ISO, and other styles
4

Nealma, Samuyus, and Nurkholis. "FORMULASI DAN EVALUASI FISIK KRIM KOSMETIK DENGAN VARIASI EKSTRAK KAYU SECANG (Caesalpinia sappan) DAN BEESWAX SUMBAWA." Jurnal TAMBORA 4, no. 2 (2020): 8–15. http://dx.doi.org/10.36761/jt.v4i2.634.

Full text
Abstract:
In this research, secang wood will be used as a cream using Sumbawa beeswax base. The purpose of this study was to obtain the best cream formulation with secang wood extract and beeswax. Cream formula is based on the concentration of secang extract 0.5-2.5 grams and beeswax 0.2-4 grams in 20 grams of the preparation. Determination of physical evaluation will be carried out several tests, namely organoleptic test, pH, adhesion, dispersal power and protective power. The results showed that all three formulas, Formulation 1 (F1) and F3 were homogeneous, while F2 was not homogeneous. In pH testing
APA, Harvard, Vancouver, ISO, and other styles
5

Mangalik, Yanche Kurniawan, Triando Hamonangan Saragih, Dodon Turianto Nugrahadi, Muliadi Muliadi, and Muhammad Itqan Mazdadi. "Analisis Seleksi Fitur Binary PSO Pada Klasifikasi Kanker Berdasarkan Data Microarray Menggunakan DWKNN." Jurnal Informatika Polinema 9, no. 2 (2023): 133–42. http://dx.doi.org/10.33795/jip.v9i2.1128.

Full text
Abstract:
Salah satu penyakit mematikan penyebab kematian terbesar secara global adalah kanker. Kematian akibat kanker dapat diredam melalui deteksi dini terhadap kanker dengan memanfaatkan teknologi microarray. Namun teknologi ini memiliki kekurangan, yaitu jumlah gen (fitur) yang terlalu banyak. Kekurangan tersebut dapat diatasi dengan melakukan seleksi fitur terhadap data microarray. Salah satu algoritma seleksi fitur yang dapat digunakan adalah Binary Particle Swarm Optimizationi (BPSO). Pada penelitian ini, dilakukan seleksi fitur dengan BPSO pada data microarray dan klasifikasi menggunakan Distanc
APA, Harvard, Vancouver, ISO, and other styles
6

Metlek, Sedat, and Halit Çetiner. "Classification of Poisonous and Edible Mushrooms with Optimized Classification Algorithms." International Conference on Applied Engineering and Natural Sciences 1, no. 1 (2023): 408–15. http://dx.doi.org/10.59287/icaens.1030.

Full text
Abstract:
Within the scope of this study, it is aimed to classify the mushroom species consumed as a staple food. For this purpose, 8124 mushroom data with 22 different mushroom feature information were used. 5686 of these data were used for training and 2438 for testing. In the study, poisonous and edible mushroom species were classified by random forest, decision tree, and logistic regression classification methods. The parameters used in the random forest and decision tree classification algorithms used in the study were optimized with the GridSearchCV optimization method. With the random forest algo
APA, Harvard, Vancouver, ISO, and other styles
7

Ungkawa, Uung, and Muhammad Avilla Rafi. "Data Balancing Techniques Using the PCA-KMeans and ADASYN for Possible Stroke Disease Cases." Jurnal Online Informatika 9, no. 1 (2024): 138–47. http://dx.doi.org/10.15575/join.v9i1.1293.

Full text
Abstract:
Imbalanced data happens when the distribution of classes is not equal between positive and negative classes. In healthcare, the majority class typically consists of healthy patient data, while the minority class contains sick patient data. This condition can cause the minority class prediction to be wrong because the model tends to predict the majority class. In this study, we use a deep neural network algorithm with focal loss that can deal with class imbalance during training. To balance the data, we use the PCA-KMeans combination model to shrink the dataset and the ADASYN model to give the
APA, Harvard, Vancouver, ISO, and other styles
8

Yadav, Siddharth, and Tanmoy Chakraborty. "Zera-Shot Sentiment Analysis for Code-Mixed Data." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 18 (2021): 15941–42. http://dx.doi.org/10.1609/aaai.v35i18.17967.

Full text
Abstract:
Code-mixing is the practice of alternating between two or more languages. A major part of sentiment analysis research has been monolingual and they perform poorly on the code-mixed text. We introduce methods that use multilingual and cross-lingual embeddings to transfer knowledge from monolingual text to code-mixed text for code-mixed sentiment analysis. Our methods handle code-mixed text through zero-shot learning and beat state-of-the-art English-Spanish code-mixed sentiment analysis by an absolute 3% F1-score. We are able to achieve 0.58 F1-score (without a parallel corpus) and 0.62 F1-scor
APA, Harvard, Vancouver, ISO, and other styles
9

Huang, Hao, Haihua Xu, Xianhui Wang, and Wushour Silamu. "Maximum F1-Score Discriminative Training Criterion for Automatic Mispronunciation Detection." IEEE/ACM Transactions on Audio, Speech, and Language Processing 23, no. 4 (2015): 787–97. http://dx.doi.org/10.1109/taslp.2015.2409733.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Kasthurirathne, Suranga N., Shaun Grannis, Paul K. Halverson, Justin Morea, Nir Menachemi, and Joshua R. Vest. "Precision Health–Enabled Machine Learning to Identify Need for Wraparound Social Services Using Patient- and Population-Level Data Sets: Algorithm Development and Validation." JMIR Medical Informatics 8, no. 7 (2020): e16129. http://dx.doi.org/10.2196/16129.

Full text
Abstract:
Background Emerging interest in precision health and the increasing availability of patient- and population-level data sets present considerable potential to enable analytical approaches to identify and mitigate the negative effects of social factors on health. These issues are not satisfactorily addressed in typical medical care encounters, and thus, opportunities to improve health outcomes, reduce costs, and improve coordination of care are not realized. Furthermore, methodological expertise on the use of varied patient- and population-level data sets and machine learning to predict need for
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "F1-score"

1

Svedberg, Jonatan, and George Shmas. "Effekten av textaugmenteringsstrategier på träffsäkerhet, F1-värde och viktat F1-värde." Thesis, KTH, Hälsoinformatik och logistik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-296550.

Full text
Abstract:
Att utveckla en sofistikerad chatbotlösning kräver stora mängder textdata för att kunna anpassalösningen till en specifik domän. Att manuellt skapa en komplett uppsättning textdata, specialanpassat för den givna domänen och innehållandes ett stort antal varierande meningar som en människa kan tänkas yttra, är ett enormt tidskrävande arbete. För att kringgå detta tillämpas dataaugmentering för att generera mer data utifrån en mindre uppsättning redan existerande textdata. Softronic AB vill undersöka alternativa strategier för dataaugmentering med målet att eventuellt ersätta den nuvarande lösni
APA, Harvard, Vancouver, ISO, and other styles
2

Makki, Sara. "An Efficient Classification Model for Analyzing Skewed Data to Detect Frauds in the Financial Sector." Thesis, Lyon, 2019. http://www.theses.fr/2019LYSE1339/document.

Full text
Abstract:
Différents types de risques existent dans le domaine financier, tels que le financement du terrorisme, le blanchiment d’argent, la fraude de cartes de crédit, la fraude d’assurance, les risques de crédit, etc. Tout type de fraude peut entraîner des conséquences catastrophiques pour des entités telles que les banques ou les compagnies d’assurances. Ces risques financiers sont généralement détectés à l'aide des algorithmes de classification. Dans les problèmes de classification, la distribution asymétrique des classes, également connue sous le nom de déséquilibre de classe (class imbalance), est
APA, Harvard, Vancouver, ISO, and other styles
3

Wahab, Nor-Ul. "Evaluation of Supervised Machine LearningAlgorithms for Detecting Anomalies in Vehicle’s Off-Board Sensor Data." Thesis, Högskolan Dalarna, Mikrodataanalys, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:du-28962.

Full text
Abstract:
A diesel particulate filter (DPF) is designed to physically remove diesel particulate matter or soot from the exhaust gas of a diesel engine. Frequently replacing DPF is a waste of resource and waiting for full utilization is risky and very costly, so, what is the optimal time/milage to change DPF? Answering this question is very difficult without knowing when the DPF is changed in a vehicle. We are finding the answer with supervised machine learning algorithms for detecting anomalies in vehicles off-board sensor data (operational data of vehicles). Filter change is considered an anomaly becau
APA, Harvard, Vancouver, ISO, and other styles
4

Piják, Marek. "Klasifikace emailové komunikace." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2018. http://www.nusl.cz/ntk/nusl-385889.

Full text
Abstract:
This diploma's thesis is based around creating a classifier, which will be able to recognize an email communication received by Topefekt.s.r.o on daily basis and assigning it into classification class. This project will implement some of the most commonly used classification methods including machine learning. Thesis will also include evaluation comparing all used methods.
APA, Harvard, Vancouver, ISO, and other styles
5

BORA, NILUTPOL. "SECURING INDUSTRIAL IOT: GCN-BASED IDS IMPLEMENTATION AND A REVIEW OF TESTING FRAMEWORKS." Thesis, 2023. http://dspace.dtu.ac.in:8080/jspui/handle/repository/20410.

Full text
Abstract:
Cyber-attacks on Industrial IoT systems can result in severe consequences such as production loss, equipment damage, and even human casualties and hence security is of utmost concern in this application of IoT. This thesis, presents an approach for network security, intrusion detection that utilizes the spatial attributes of a network in attempt overcome the limitations discovered through literature review of various studies in Intrusion Detection and testing frameworks. For this graph-based neural network have been used that was seen promising in modelling complex relationships be
APA, Harvard, Vancouver, ISO, and other styles
6

Iffat, Naz Syeda. "Machine Learning Classification of Facial Affect Recognition Deficits after Traumatic Brain Injury for Informing Rehabilitation Needs and Progress." Thesis, 2020. http://hdl.handle.net/1805/24774.

Full text
Abstract:
Indiana University-Purdue University Indianapolis (IUPUI)<br>A common impairment after a traumatic brain injury (TBI) is a deficit in emotional recognition, such as inferences of others’ intentions. Some researchers have found these impairments in 39\% of the TBI population. Our research information needed to make inferences about emotions and mental states comes from visually presented, nonverbal cues (e.g., facial expressions or gestures). Theory of mind (ToM) deficits after TBI are partially explained by impaired visual attention and the processing of these important cues. This research fou
APA, Harvard, Vancouver, ISO, and other styles
7

(9746081), Syeda Iffat Naz. "Machine Learning Classification of Facial Affect Recognition Deficits after Traumatic Brain Injury for Informing Rehabilitation Needs and Progress." Thesis, 2021.

Find full text
Abstract:
A common impairment after a traumatic brain injury (TBI) is a deficit in emotional recognition, such as inferences of others’ intentions. Some researchers have found these impairments in 39\% of the TBI population. Our research information needed to make inferences about emotions and mental states comes from visually presented, nonverbal cues (e.g., facial expressions or gestures). Theory of mind (ToM) deficits after TBI are partially explained by impaired visual attention and the processing of these important cues. This research found that patients with deficits in visual processing differ fr
APA, Harvard, Vancouver, ISO, and other styles
8

(8771429), Ashley S. Dale. "3D OBJECT DETECTION USING VIRTUAL ENVIRONMENT ASSISTED DEEP NETWORK TRAINING." Thesis, 2021.

Find full text
Abstract:
<div> <div> <div> <p>An RGBZ synthetic dataset consisting of five object classes in a variety of virtual environments and orientations was combined with a small sample of real-world image data and used to train the Mask R-CNN (MR-CNN) architecture in a variety of configurations. When the MR-CNN architecture was initialized with MS COCO weights and the heads were trained with a mix of synthetic data and real world data, F1 scores improved in four of the five classes: The average maximum F1-score of all classes and all epochs for the networks trained with synthetic data is F1∗ = 0.91, compared t
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "F1-score"

1

Abu Ahmad, Raia, Ekaterina Borisova, and Georg Rehm. "FoRC@NSLP2024: Overview and Insights from the Field of Research Classification Shared Task." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-65794-8_12.

Full text
Abstract:
AbstractThis article provides an overview of the Field of Research Classification (FoRC) shared task conducted as part of the Natural Scientific Language Processing Workshop (NSLP) 2024. The FoRC shared task encompassed two subtasks: the first was a single-label multi-class classification of scholarly papers across a taxonomy of 123 fields, while the second focused on fine-grained multi-label classification within computational linguistics, using a taxonomy of 170 (sub-)topics. The shared task received 13 submissions for the first subtask and two for the second, with teams surpassing baseline
APA, Harvard, Vancouver, ISO, and other styles
2

Krishnamoorthy, Dhivya Bharathi, and Sasmita Padhy. "Generating F1-Score to Predict Parkinson Disease with CNN Algorithm." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-9578-9_20.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Cai, Hua, Qing Xu, and Weilin Shen. "Complex Relative Position Encoding for Improving Joint Extraction of Entities and Relations." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_66.

Full text
Abstract:
AbstractRelative position encoding (RPE) is important for transformer based pretrained language model to capture sequence ordering of input tokens. Transformer based model can detect entity pairs along with their relation for joint extraction of entities and relations. However, prior works suffer from the redundant entity pairs, or ignore the important inner structure in the process of extracting entities and relations. To address these limitations, in this paper, we first use BERT with complex relative position encoding (cRPE) to encode the input text information, then decompose the joint ext
APA, Harvard, Vancouver, ISO, and other styles
4

Dsouza, Alishiba, Ran Yu, Moritz Windoffer, and Elena Demidova. "Iterative Geographic Entity Alignment with Cross-Attention." In The Semantic Web – ISWC 2023. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-47240-4_12.

Full text
Abstract:
AbstractAligning schemas and entities of community-created geographic data sources with ontologies and knowledge graphs is a promising research direction for making this data widely accessible and reusable for semantic applications. However, such alignment is challenging due to the substantial differences in entity representations and sparse interlinking across sources, as well as high heterogeneity of schema elements and sparse entity annotations in community-created geographic data. To address these challenges, we propose a novel cross-attention-based iterative alignment approach called IGEA
APA, Harvard, Vancouver, ISO, and other styles
5

Góra, Grzegorz, and Andrzej Skowron. "On kNN Class Weights for Optimising G-Mean and F1-Score." In Rough Sets. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-50959-9_29.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Rostovski, Jakob, Mohammad Hasan Ahmadilivani, Andrei Krivošei, Alar Kuusik, and Muhammad Mahtab Alam. "Real-Time Gait Anomaly Detection Using 1D-CNN and LSTM." In Communications in Computer and Information Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-59091-7_17.

Full text
Abstract:
AbstractAnomaly detection and fall prevention represent one of the key research areas within gait analysis for patients suffering from neurological disorders. Deep Learning has penetrated into healthcare applications, encompassing disease diagnosis and anomaly prediction. Connected wearable medical sensors are emerging due to computationally expensive machine learning tasks, which traditionally require use of remote PC or cloud computing. However, to reduce needs for wireless communication channel throughput, for data processing latency, and increase service reliability and safety, on device m
APA, Harvard, Vancouver, ISO, and other styles
7

Sharma, Surbhi, and Alka Singhal. "A Comprehensive Investigation of Machine Learning Algorithms with SMOTE Integration to Maximize F1 Score." In Communication and Intelligent Systems. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2100-3_16.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Fourure, Damien, Muhammad Usama Javaid, Nicolas Posocco, and Simon Tihon. "Anomaly Detection: How to Artificially Increase Your F1-Score with a Biased Evaluation Protocol." In Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86514-6_1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Uhlmann, Eckart, Gustavo Reis de Ascencao, Bernhard Hesse, Jussi-Petteri Suuronen, David Carlos Domingos, and Jianlin Zhuang. "Investigations on the Use of Photodiodes for In-Situ Defect Detection in Laser-Based Powder Bed Fusion of Metals." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-77429-4_83.

Full text
Abstract:
AbstractThe sustainability of AM is strongly related to the ability of producing functional parts using minimal resources. In-situ monitoring saves energy and material by providing information to support process stops in case of anomalous events detected in critical regions. In this work, AlSi10Mg samples with different defect conditions were PBF-LB/M manufactured under the observation of photodiodes in three wavelength ranges. The samples were scanned through synchrotron-based micro-CT, and a defect score was attributed to every point in a non-destructive manner. The results were registered t
APA, Harvard, Vancouver, ISO, and other styles
10

Rajendram Bashyam, Lakshmi, and Ralf Krestel. "Advancing Automatic Subject Indexing: Combining Weak Supervision with Extreme Multi-label Classification." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-65794-8_14.

Full text
Abstract:
AbstractThe multi-label automatic classification of scientific publications based on a pre-defined taxonomy, also called automatic subject indexing is a continuing research endeavor with significant cross-domain applicability. In this paper, we assess the performance of X-transformer and its variants with other extreme multi-label classification models for the above task. Our model Weak X-transformer achieves a micro F1-score of 0.65 and 64% accuracy on the task outperforming all other methods. We also investigate the impact of incorporating additional unlabelled data and hierarchical structur
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "F1-score"

1

Roumpos, I., L. De Marinis, P. S. Kincaid, et al. "Silicon Integrated Photonic-Electronic Multiply-Accumulate Neurons." In CLEO: Science and Innovations. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cleo_si.2024.sm3m.3.

Full text
Abstract:
We experimentally demonstrate an EAM-based photonic-electronic multiply-accumulate neuron that performs inference in a health monitoring task with 1350 trainable parameters, achieving an f1 score of 85.9 % at 10 Gbaud compute rate.
APA, Harvard, Vancouver, ISO, and other styles
2

Tomasov, Adrian, Petr Dejdar, Petr Munster, and Tomas Horvath. "Utilizing a State of Polarization Change Detector and Machine Learning for Enhanced Security in Fiber-Optic Networks." In CLEO: Applications and Technology. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cleo_at.2024.jtu2a.217.

Full text
Abstract:
The paper presents a novel method for securing fiber-optic infrastructures using a state of polarization analyzer combined with machine learning algorithms. The proposed system detects vibrations indicative of security breaches, achieving an F1-score above 95.65 %.
APA, Harvard, Vancouver, ISO, and other styles
3

Saini, Pratik, Samiran Pal, Tapas Nayak, and Indrajit Bhattacharya. "90% F1 Score in Relation Triple Extraction: Is it Real?" In Proceedings of the 1st GenBench Workshop on (Benchmarking) Generalisation in NLP. Association for Computational Linguistics, 2023. http://dx.doi.org/10.18653/v1/2023.genbench-1.1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Alibekov, M. R. "Diagnosis of Plant Biotic Stress by Methods of Explainable Artificial Intelligence." In 32nd International Conference on Computer Graphics and Vision. Keldysh Institute of Applied Mathematics, 2022. http://dx.doi.org/10.20948/graphicon-2022-728-739.

Full text
Abstract:
Methods for digital image preprocessing, which significantly increase the efficiency of ML methods, and also a number of ML methods and models as a basis for constructing simple and efficient XAI networks for diagnosing plant biotic stresses, have been studied. A complex solution has been built, which includes the following stages: automatic segmentation; feature extraction; classification by ML models. The best classifiers and feature vectors are selected. The study was carried out on the open dataset PlantVillage Dataset. The single-layer perceptron (SLP) trained on a full vector of 92 featu
APA, Harvard, Vancouver, ISO, and other styles
5

Reddy, N. Krishna, and M. Rajasekar. "Increasing F1 score with VGG16 during plant disease classification over VGG19." In 2ND INTERNATIONAL INTERDISCIPLINARY SCIENTIFIC CONFERENCE ON GREEN ENERGY, ENVIRONMENTAL AND RENEWABLE ENERGY, ADVANCED MATERIALS, AND SUSTAINABLE DEVELOPMENT: ICGRMSD24. AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0238123.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

de Sousa, Thiago Monteles, and Deborah S. A. Fernandes. "Expansão automática de léxico para Análise de Sentimentos de Twitter no domínio do Mercado Financeiro Brasileiro." In Escola Regional de Informática de Goiás. Sociedade Brasileira de Computação, 2023. http://dx.doi.org/10.5753/erigo.2023.237321.

Full text
Abstract:
Este artigo investiga as oportunidades na criação de léxicos especializados com foco na construção de um glossário em Português voltado para o Mercado Financeiro Brasileiro (MFB). A metodologia empregada envolve a concepção de uma sequência de etapas visando enriquecer um conjunto de palavras semente, que é posteriormente utilizado na tarefa de análise de sentimentos em tweets e notícias relacionadas ao domínio do MFB. Como resultados, foram alcançados um f1-score de 71,5% na classificação de tweets e um f1-score de 67,9% em notícias, ambos na abordagem lexical. Além disso, uma abordagem mista
APA, Harvard, Vancouver, ISO, and other styles
7

Avola, Danilo, Luigi Cinque, Gian Luca Foresti, et al. "A Shape Comparison Reinforcement Method Based on Feature Extractors and F1-Score." In 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC). IEEE, 2019. http://dx.doi.org/10.1109/smc.2019.8914601.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Dalmazo, Luan Matheus Trindade, Gabriel Silva Hermida, Sergio Ossamu Ioshii, and Lucas Ferrari de Oliveira. "Reinhard it: Normalization and Classification on HER2 images." In Anais Estendidos do Simpósio Brasileiro de Computação Aplicada à Saúde. Sociedade Brasileira de Computação (SBC), 2025. https://doi.org/10.5753/sbcas_estendido.2025.7722.

Full text
Abstract:
HER2-positive breast cancer is one of the most aggressive subtypes and among the most frequently diagnosed. It results from the overexpression of the HER2 protein, which is assessed using the ImmunoHistoChemistry (IHC) score. However, this evaluation is often performed manually, creating opportunities for automation. In this context, this study investigates the impact of the Reinhard technique compared to mean and standard deviation normalization methods to quantify protein levels. The results demonstrate the potential of the proposed approach, achieving an F1-score of 0.89, precision of 0.89,
APA, Harvard, Vancouver, ISO, and other styles
9

A. de Almeida Neto, José, and Tiago de Melo. "Identificação de Temas em Comentários de Restaurantes usando BERT e Modelos de Linguagem Generativa." In Anais Estendidos do Simpósio Brasileiro de Banco de Dados. Sociedade Brasileira de Computação - SBC, 2024. http://dx.doi.org/10.5753/sbbd_estendido.2024.242780.

Full text
Abstract:
Este estudo investiga a aplicação de técnicas avançadas de processamento de linguagem natural (PLN) para classificar comentários sobre restaurantes de alta gastronomia no Brasil. Utilizando 4.000 sentenças de plataformas como Google Reviews, TripAdvisor e Yelp, são comparados os desempenhos de Regressão Logística Multirrótulo, BERTimbau e Sabia. O BERTimbau apresentou melhor desempenho, com macro F1-Score de 0.88 e micro F1-Score de 0.92. A análise revela variações temáticas significativas quando se observam os restaurantes individualmente, destacando a eficácia dos modelos pré-treinados em PL
APA, Harvard, Vancouver, ISO, and other styles
10

Sepúlveda, J., and S. A. Velastin. "F1 Score Assesment of Gaussian Mixture Background Subtraction Algorithms Using the MuHAVi Dataset." In 6th International Conference on Imaging for Crime Prevention and Detection (ICDP-15). Institution of Engineering and Technology, 2015. http://dx.doi.org/10.1049/ic.2015.0106.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "F1-score"

1

Panta, Manisha, Md Tamjidul Hoque, Kendall Niles, Joe Tom, Mahdi Abdelguerfi, and Maik Flanagin. Deep learning approach for accurate segmentation of sand boils in levee systems. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49460.

Full text
Abstract:
Sand boils can contribute to the liquefaction of a portion of the levee, leading to levee failure. Accurately detecting and segmenting sand boils is crucial for effectively monitoring and maintaining levee systems. This paper presents SandBoilNet, a fully convolutional neural network with skip connections designed for accurate pixel-level classification or semantic segmentation of sand boils from images in levee systems. In this study, we explore the use of transfer learning for fast training and detecting sand boils through semantic segmentation. By utilizing a pretrained CNN model with ResNe
APA, Harvard, Vancouver, ISO, and other styles
2

Maloney, Megan, Sarah Becker, Andrew Griffin, Susan Lyon, and Kristofer Lasko. Automated built-up infrastructure land cover extraction using index ensembles with machine learning, automated training data, and red band texture layers. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/49370.

Full text
Abstract:
Automated built-up infrastructure classification is a global need for planning. However, individual indices have weaknesses, including spectral confusion with bare ground, and computational requirements for deep learning are intensive. We present a computationally lightweight method to classify built-up infrastructure. We use an ensemble of spectral indices and a novel red-band texture layer with global thresholds determined from 12 diverse sites (two seasonally varied images per site). Multiple spectral indexes were evaluated using Sentinel-2 imagery. Our texture metric uses the red band to s
APA, Harvard, Vancouver, ISO, and other styles
3

Griffin, Andrew, Sean Griffin, Kristofer Lasko, et al. Evaluation of automated feature extraction algorithms using high-resolution satellite imagery across a rural-urban gradient in two unique cities in developing countries. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40182.

Full text
Abstract:
Feature extraction algorithms are routinely leveraged to extract building footprints and road networks into vector format. When used in conjunction with high resolution remotely sensed imagery, machine learning enables the automation of such feature extraction workflows. However, many of the feature extraction algorithms currently available have not been thoroughly evaluated in a scientific manner within complex terrain such as the cities of developing countries. This report details the performance of three automated feature extraction (AFE) datasets: Ecopia, Tier 1, and Tier 2, at extracting
APA, Harvard, Vancouver, ISO, and other styles
4

ตั้งกิจวานิชย์, พิสิฐ, อัญชลี อวิหิงสานนท์, วรพจน์ ทรัพย์ศิริสวัสดิ์ та ін. การศึกษาธรรมชาติการดำเนินโรคของการติดเชื้อไวรัสตับอักเสบซี ความสำคัญทางคลินิคปัจจัยที่เกี่ยวข้องในการรักษาการตอบสนองต่อการรักษา และผลข้างเคียงในผู้ติดเชื้อเอชไอวีที่มีการติดเชื้อไวรัสตับอักเสบซี. จุฬาลงกรณ์มหาวิทยาลัย, 2015. https://doi.org/10.58837/chula.res.2015.24.

Full text
Abstract:
การศึกษานี้เป็นแบบไปข้างหน้าในผู้ป่วยที่ติดเชื้อเอชไอวีร่วมกับการติดเชื้อไวรัสตับอักเสบซีในพื้นที่กรุงเทพมหานคร ประเทศไทย โดยมีการตรวจสายพันธุ์ของไวรัสตับอักเสบซี ปริมาณไวรัสตับอักเสบซีในเลือด ยีน IL-288 และการเกิดพังผืดในตับด้วยเครื่องไฟโบรสแกน และได้แบ่งระยะของพังผืดในตับได้ดังนี้ ระยะแรก (Metavir F0-F1) เป็นระยะที่มีค่า stiffness น้อยกว่าหรือเท่ากับ 7.1 kPa ระยะที่ 2 หรือระยะปานกลาง (F2) เป็นระยะที่มีค่า stiffness ระหว่าง 7.2-9.4 kPa ระยะที่ 3 หรือระยะรุนแรง (F3) เป็นระยะที่มีค่า stiffness ระหว่าง 9.5-14 kPa และระยะสุดท้าย (F4) หรือ โรคตับแข็งที่มีค่า stiffness มากกว่า 14 kPa การตรวจประเมิน
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'F1-score' for particular source types:
Journal articles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography