Camelia Lemnaru

Orcid: 0000-0002-4901-9808

According to our database1, Camelia Lemnaru authored at least 61 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Evolving a Pipeline Approach for Abstract Meaning Representation Parsing Towards Dynamic Neural Networks.
Int. J. Neural Syst., July, 2023

Unsupervised Clustering and Explainable AI for Unveiling Behavioral Variations Across Time in Home-Appliance Generated Data.
Proceedings of the Information Integration and Web Intelligence, 2023

Multitask, Cross-Lingual Recipe Classification Using Joint Fine-Tuning Mechanisms.
Proceedings of the Information Integration and Web Intelligence, 2023

Extracting Appliance Behavior from Heterogeneous Data.
Proceedings of the 19th IEEE International Conference on Intelligent Computer Communication and Processing, 2023

2022
A Comparative Analysis between Efficient Attention Mechanisms for Traffic Forecasting without Structural Priors.
Sensors, 2022

Local Field Potential Microstate Analysis.
Proceedings of the 18th IEEE International Conference on Intelligent Computer Communication and Processing, 2022

Extracting Settings from Multilingual Recipes with Various Sequence Tagging Models: an Experimental Study.
Proceedings of the 18th IEEE International Conference on Intelligent Computer Communication and Processing, 2022

Instructions Are All You Need: Cooking Parameters Classification for Monolingual Recipes.
Proceedings of the 18th IEEE International Conference on Intelligent Computer Communication and Processing, 2022

Knowledge inference from home appliances data.
Proceedings of the 18th IEEE International Conference on Intelligent Computer Communication and Processing, 2022

Enhancements on a Pipeline Approach for Abstract Meaning Representation Parsing.
Proceedings of the Engineering Applications of Neural Networks, 2022

2021
Intent Detection and Slot Filling with Capsule Net Architectures for a Romanian Home Assistant.
Sensors, 2021

Approaching the Semantic Segmentation in Medical Problems: A Solution for Pneumothorax Detection.
Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Semantically Enriching Embeddings of Highly Inflectable Verbs for Improving Intent Detection in a Romanian Home Assistant Scenario.
Proceedings of the Advances in Intelligent Data Analysis XIX, 2021

A Generative Adversarial Approach for the Detection of Typical and Drowned Action Potentials.
Proceedings of the 17th IEEE International Conference on Intelligent Computer Communication and Processing, 2021

Weighted Principal Component Analysis based on statistical properties of features for Spike Sorting.
Proceedings of the 17th IEEE International Conference on Intelligent Computer Communication and Processing, 2021

2020
A Two Stage Approach for AMR Parsing Using the Concept Inference Order.
Proceedings of the 16th IEEE International Conference on Intelligent Computer Communication and Processing, 2020

Enhancing the Classification of EEG Signals using Wasserstein Generative Adversarial Networks.
Proceedings of the 16th IEEE International Conference on Intelligent Computer Communication and Processing, 2020

Using Symbolic Analysis of Local Field Potentials for Anesthesia Depth Prediction.
Proceedings of the 16th IEEE International Conference on Intelligent Computer Communication and Processing, 2020

Detecting Malicious URLs Based on Machine Learning Algorithms and Word Embeddings.
Proceedings of the 16th IEEE International Conference on Intelligent Computer Communication and Processing, 2020

A System for Managing and Processing Industrial Sensor Data: SMS.
Proceedings of the 16th IEEE International Conference on Intelligent Computer Communication and Processing, 2020

Concept Identification with Sequence-to-Sequence Models in Abstract Meaning Representation Parsing.
Proceedings of the 16th IEEE International Conference on Intelligent Computer Communication and Processing, 2020

The Impact of Romanian Diacritics on Intent Detection and Slot Filling.
Proceedings of the IEEE International Conference on Automation, 2020

2019
Discovering Discriminative Nodes for Classification with Deep Graph Convolutional Methods.
Proceedings of the New Frontiers in Mining Complex Patterns - 8th International Workshop, 2019

The Impact of Data Challenges on Intent Detection and Slot Filling for the Home Assistant Scenario.
Proceedings of the 15th IEEE International Conference on Intelligent Computer Communication and Processing, 2019

Space Breakdown Method A new approach for density-based clustering.
Proceedings of the 15th IEEE International Conference on Intelligent Computer Communication and Processing, 2019

Keyword Spotting using Dynamic Time Warping and Convolutional Recurrent Networks.
Proceedings of the 15th IEEE International Conference on Intelligent Computer Communication and Processing, 2019

Understanding and Addressing Change in Computer Science Education.
Proceedings of the 22nd International Conference on Control Systems and Computer Science, 2019

2018
Dealing with overlap and imbalance: a new metric and approach.
Pattern Anal. Appl., 2018

A Comparative Study of Methods Used in the Analysis and Prediction of Financial Data.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2018

Semantic segmentation-based traffic sign detection and recognition using deep learning techniques.
Proceedings of the 14th IEEE International Conference on Intelligent Computer Communication and Processing, 2018

Enhancements on a Transition-Based Approach for AMR Parsing Using LSTM Networks.
Proceedings of the 14th IEEE International Conference on Intelligent Computer Communication and Processing, 2018

An early fusion approach for multimodal emotion recognition using deep recurrent networks.
Proceedings of the 14th IEEE International Conference on Intelligent Computer Communication and Processing, 2018

2017
Complex Localization in the Multiple Instance Learning Context.
Proceedings of the New Frontiers in Mining Complex Patterns - 6th International Workshop, 2017

From image captioning to video summary using deep recurrent networks and unsupervised segmentation.
Proceedings of the Tenth International Conference on Machine Vision, 2017

A transition-based approach for AMR parsing using LSTM networks.
Proceedings of the 13th IEEE International Conference on Intelligent Computer Communication and Processing, 2017

2016
Feature Engineered Relation Extraction - Medical Documents Setting.
Int. J. Web Inf. Syst., 2016

Detection and prevention system against cyber attacks and botnet malware for information systems and Internet of Things.
Proceedings of the IEEE 12th International Conference on Intelligent Computer Communication and Processing, 2016

Semantic-based IoT device discovery and recommendation mechanism.
Proceedings of the IEEE 12th International Conference on Intelligent Computer Communication and Processing, 2016

Syllabification with Frequent Sequence Patterns - A Language Independent Approach.
Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - Volume 1: KDIR, Porto - Portugal, November 9, 2016

2015
REMed: automatic relation extraction from medical documents.
Proceedings of the 17th International Conference on Information Integration and Web-based Applications & Services, 2015

Concept extraction from medical documents a contextual approach.
Proceedings of the IEEE International Conference on Intelligent Computer Communication and Processing, 2015

Pre-processing flow for enhancing learning from medical data.
Proceedings of the IEEE International Conference on Intelligent Computer Communication and Processing, 2015

A multi-objective evolutionary approach to imbalanced classification problems.
Proceedings of the IEEE International Conference on Intelligent Computer Communication and Processing, 2015

A learning-based approach for Romanian syllabification and stress assignment.
Proceedings of the IEEE International Conference on Intelligent Computer Communication and Processing, 2015

Topic Oriented Auto-completion Models.
Proceedings of the KDIR 2015, 2015

Assessing Vertex Relevance based on Community Detection.
Proceedings of the KDIR 2015, 2015

Evolutionary Cost-Sensitive Balancing: A Generic Method for Imbalanced Classification Problems.
Proceedings of the EVOLVE, 2015

2014
Disease Identification in Electronic Health Records - An Ontology based Approach.
Proceedings of the KDIR 2014 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Rome, Italy, 21, 2014

2013
Distributed Methodologies for Imbalanced Classification Problems: Parameter Analysis and Tuning.
Proceedings of the IEEE 12th International Symposium on Parallel and Distributed Computing, 2013

2012
A Distributed Methodology for Imbalanced Classification Problems.
Proceedings of the 11th International Symposium on Parallel and Distributed Computing, 2012

A Hybrid Solution for Imbalanced Classification Problems - Case Study on Network Intrusion Detection.
Proceedings of the KDIR 2012 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Barcelona, Spain, 4, 2012

A System for Historical Documents Transcription based on Hierarchical Classification and Dictionary Matching.
Proceedings of the KDIR 2012 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Barcelona, Spain, 4, 2012

2011
Solving NP-Complete Problems on the CUDA Architecture Using Genetic Algorithms.
Proceedings of the 10th International Symposium on Parallel and Distributed Computing, 2011

The Parallel Classification of Very Large Collections of Data on Multi-core Platforms.
Proceedings of the 10th International Symposium on Parallel and Distributed Computing, 2011

A Comprehensive Study of the Effect of Class Imbalance on the Performance of Classifiers.
Proceedings of the ICEIS 2011, 2011

Imbalanced Classification Problems: Systematic Study, Issues and Best Practices.
Proceedings of the Enterprise Information Systems - 13th International Conference, 2011

Static and dynamic user type identification in adaptive e-learning with unsupervised methods.
Proceedings of the IEEE International Conference on Intelligent Computer Communication and Processing, 2011

2010
Dealing with Imbalanced Problems - Issues and Best Practices.
Proceedings of the ICEIS 2010 - Proceedings of the 12th International Conference on Enterprise Information Systems, Volume 2, AIDSS, Funchal, Madeira, Portugal, June 8, 2010

Meta-learning Framework for Prediction Strategy Evaluation.
Proceedings of the Enterprise Information Systems - 12th International Conference, 2010

A Hierarchical Approach for the Offline Handwritten Signature Recognition.
Proceedings of the Enterprise Information Systems - 12th International Conference, 2010

A Hierarchical Handwritten Offline Signature Recognition System.
Proceedings of the ICEIS 2010 - Proceedings of the 12th International Conference on Enterprise Information Systems, Volume 2, AIDSS, Funchal, Madeira, Portugal, June 8, 2010


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