Mihaela Dînsoreanu

Publication Activity (10 Years)

Years Active: 2006-2025
Publications (10 Years): 38

Top Topics

Sentiment Polarity

Multiple Instance

Top Venues

NFMCP@PKDD/ECML

Publications

Vlad-Andrei Negru, Vasile Suciu, Alex-Mihai Lapusan, Camelia Lemnaru, Mihaela Dînsoreanu, Rodica Potolea
Assessing language models' task and language transfer capabilities for sentiment analysis in dialog data. Comput. Speech Lang. 89 (2025)
Eugen-Richard Ardelean, Ana-Maria Ichim, Mihaela Dînsoreanu, Raul Cristian Muresan
Improved space breakdown method - A robust clustering technique for spike sorting. Frontiers Comput. Neurosci. 17 (2023)
Ramona Tolas, Raluca Portase, Camelia Lemnaru, Mihaela Dînsoreanu, Rodica Potolea
Unsupervised Clustering and Explainable AI for Unveiling Behavioral Variations Across Time in Home-Appliance Generated Data. iiWAS (2023)
Eugen-Richard Ardelean, George Florin Grosu, Romulus Terebes, Mihaela Dînsoreanu
Exploiting the Self-Organizing Map for Spike Sorting. ICCP (2023)
Oana Miruna Moisa, Ileana Pop, Eugen-Richard Ardelean, Vasile Vlad Moca, Raul Cristian Muresan, Mihaela Dînsoreanu
Symbolic Analysis Based Pipeline for EEG Data. ICCP (2023)
Adriana-Ioana Ardelean, Eugen-Richard Ardelean, Vasile Vlad Moca, Raul Cristian Muresan, Mihaela Dînsoreanu
Burst detection in neuronal activity. ICCP (2023)
Iulia-Maria Rus, Raluca Portase, Ramona Tolas, Camelia Lemnaru, Mihaela Dînsoreanu, Rodica Potolea
Extracting Appliance Behavior from Heterogeneous Data. ICCP (2023)
Eugen-Richard Ardelean, Razvan-Dan Terec, Codruta-Maria Maries, Vasile Vlad Moca, Raul Cristian Muresan, Mihaela Dînsoreanu
Spike sorting using Superlets: Identifying feature importance through perturbation. ICCP (2023)
Dan A. Dumitru, Emanuela B. Ceuta, Vasile V. Moca, Raul Cristian Muresan, Mihaela Dînsoreanu
Extraction of Functional Brain Networks from EEG Signals in the Context of Visual Perception. AQTR (2022)
Andreea Salagean, Andreea-Madalina Pasc, Eugen-Richard Ardelean, Raul Cristian Muresan, Vasile V. Moca, Mihaela Dînsoreanu, Rodica Potolea, Camelia Lemnaru
Local Field Potential Microstate Analysis. ICCP (2022)
Alex-Mihai Lapusan, Rares-Liviu Horge, Sara Petres, Mihaela Dînsoreanu, Rodica Potolea, Camelia Lemnaru
Instructions Are All You Need: Cooking Parameters Classification for Monolingual Recipes. ICCP (2022)
Cosmina Radu, Carla-Elena Staicu, Livia-Maria Mitrica, Mihaela Dînsoreanu, Rodica Potolea, Camelia Lemnaru
Extracting Settings from Multilingual Recipes with Various Sequence Tagging Models: an Experimental Study. ICCP (2022)
Catalin Firte, Loredana Iamnitchi, Raluca Portase, Ramona Tolas, Rodica Potolea, Mihaela Dînsoreanu, Camelia Lemnaru
Knowledge inference from home appliances data. ICCP (2022)
Denisa Bianca Muresan, Raluca-Dana Ciure, Eugen-Richard Ardelean, Vasile Vlad Moca, Raul Cristian Muresan, Mihaela Dînsoreanu
Spike sorting using Superlets: Evaluation of a novel feature space for the discrimination of neuronal spikes. ICCP (2022)
Roxana Ioana Aldea, Mihaela Dînsoreanu, Rodica Potolea, Camelia Lemnaru, Raul Cristian Muresan, Vasile Vlad Moca
Weighted Principal Component Analysis based on statistical properties of features for Spike Sorting. ICCP (2021)
Anda Stoica, Tibor Kadar, Camelia Lemnaru, Rodica Potolea, Mihaela Dînsoreanu
Intent Detection and Slot Filling with Capsule Net Architectures for a Romanian Home Assistant. Sensors 21 (4) (2021)
Alexandru Dodon, Marius Adrian Calugar, Rodica Potolea, Camelia Lemnaru, Mihaela Dînsoreanu, Vasile V. Moca, Raul Cristian Muresan
A Generative Adversarial Approach for the Detection of Typical and Drowned Action Potentials. ICCP (2021)
Andrei-Cristian Rad, Ioan-Horia-Mihai Muntean, Anda-Diana Stoica, Camelia Lemnaru, Rodica Potolea, Mihaela Dînsoreanu
Semantically Enriching Embeddings of Highly Inflectable Verbs for Improving Intent Detection in a Romanian Home Assistant Scenario. IDA (2021)
Vlad Mihai Petrutiu, Liana-Daniela Palcu, Camelia Lemnaru, Mihaela Dînsoreanu, Rodica Potolea, Raul Mursesan, Vasile Vlad Moca
Enhancing the Classification of EEG Signals using Wasserstein Generative Adversarial Networks. ICCP (2020)
Emanuela L. Dan, Mihaela Dînsoreanu, Raul Cristian Muresan
Accuracy of Six Interpolation Methods Applied on Pupil Diameter Data. AQTR (2020)
Anda-Diana Stoica, Andrei-Cristian Rad, Ioan-Horia-Mihai Muntean, George Daian, Camelia Lemnaru, Rodica Potolea, Mihaela Dînsoreanu
The Impact of Romanian Diacritics on Intent Detection and Slot Filling. AQTR (2020)
Ioana Onofrei, Andreea Salagean, Narcisa Sîrca, Vasile V. Moca, Adriana Nagy-Dabâcan, Raul Cristian Muresan, Rodica Potolea, Mihaela Dînsoreanu, Camelia Lemnaru
Using Symbolic Analysis of Local Field Potentials for Anesthesia Depth Prediction. ICCP (2020)
Eliza Maria Olariu, Ramona Tolas, Raluca Portase, Mihaela Dînsoreanu, Rodica Potolea
Modern approaches to preprocessing industrial data. ICCP (2020)
Erika-Timea Albert, Camelia Lemnaru, Mihaela Dînsoreanu, Rodica Potolea
Keyword Spotting using Dynamic Time Warping and Convolutional Recurrent Networks. ICCP (2019)
Eugen-Richard Ardelean, Alexander Stanciu, Mihaela Dînsoreanu, Rodica Potolea, Camelia Lemnaru, Vasile Vlad Moca
Space Breakdown Method A new approach for density-based clustering. ICCP (2019)
Liana-Daniela Palcu, Marius Supuran, Camelia Lemnaru, Mihaela Dînsoreanu, Rodica Potolea, Raul Cristian Muresan
Discovering Discriminative Nodes for Classification with Deep Graph Convolutional Methods. NFMCP@PKDD/ECML (2019)
Anda Stoica, Tibor Kadar, Camelia Lemnaru, Rodica Potolea, Mihaela Dînsoreanu
The Impact of Data Challenges on Intent Detection and Slot Filling for the Home Assistant Scenario. ICCP (2019)
Beniamin Bucur, Iulia Somfelean, Alexandru Ghiurutan, Camelia Lemnaru, Mihaela Dînsoreanu
An early fusion approach for multimodal emotion recognition using deep recurrent networks. ICCP (2018)
Elena Nedelcu, Raluca Portase, Ramona Tolas, Raul Cristian Muresan, Mihaela Dînsoreanu, Rodica Potolea
Artifact detection in EEG using machine learning. ICCP (2017)
Dan-Ovidiu Graur, Razvan-Alexandru Maris, Rodica Potolea, Mihaela Dînsoreanu, Camelia Lemnaru
Complex Localization in the Multiple Instance Learning Context. NFMCP@PKDD/ECML (2017)
Samuel Dolean, Mihaela Dînsoreanu, Raul Cristian Muresan, Attila Geiszt, Rodica Potolea, Ioana Tincas
A Scaled-Correlation Based Approach for Defining and Analyzing Functional Networks. NFMCP@PKDD/ECML (2017)
Iacob D. Rus, Paul Marc, Mihaela Dînsoreanu, Rodica Potolea, Raul Cristian Muresan
Classification of EEG signals in an object recognition task. ICCP (2017)
Stefana Chirila, Camelia Lemnaru, Mihaela Dînsoreanu
Semantic-based IoT device discovery and recommendation mechanism. ICCP (2016)
Kinga Budai, Mihaela Dînsoreanu, Ioana Barbantan, Rodica Potolea
Learning relations using semantic-based vector similarity. ICCP (2016)
Vlad Vasile Itu, Rodica Potolea, Mihaela Dînsoreanu
Unsupervised Classification of Opinions. KDIR (2016)
Stefan Prisca, Rodica Potolea, Mihaela Dînsoreanu
A language independent user adaptable approach for word auto-completion. ICCP (2015)
Victor Ionescu, Rodica Potolea, Mihaela Dînsoreanu
Data Driven Structural Similarity. KDIR (2015)
Stefan Prisca, Mihaela Dînsoreanu, Camelia Lemnaru
Topic Oriented Auto-completion Models. KDIR (2015)
Darius Andrei Suciu, Vlad Vasile Itu, Alexandru Cristian Cosma, Mihaela Dînsoreanu, Rodica Potolea
Learning Good Opinions from Just Two Words Is Not Bad. KDIR (2014)
Octavian Lucian Hasna, Florin Cristian Macicasan, Mihaela Dînsoreanu, Rodica Potolea
Modeling Sentiment Polarity with Meta-features to Achieve Domain-Independence. IC3K (Selected Papers) (2014)
Mihaela Dînsoreanu, Rodica Potolea
Opinion-driven communities' detection. Int. J. Web Inf. Syst. 10 (4) (2014)
Mihaela Dînsoreanu, Andrei Bacu
Unsupervised Twitter Sentiment Classification. KMIS (2014)
Octavian Lucian Hasna, Florin Cristian Macicasan, Mihaela Dînsoreanu, Rodica Potolea
Sentiment Polarity Extension for Context-Sensitive Recommender Systems . KDIR (2014)
Mihaela Dînsoreanu, Rodica Potolea
A scalable approach for Contradiction Detection driven by Opinion mining. iiWAS (2013)
Mihaela Dînsoreanu, Rodica Potolea
Towards a Unified Thematic Model for Recommending Context-Sensitive Content. IC3K (2012)
Mihaela Dînsoreanu, Florin Cristian Macicasan, Octavian Lucian Hasna, Rodica Potolea
A Unified Approach for Context-sensitive Recommendations. KDIR (2012)
Mihaela Dînsoreanu, Lucian Braescu, Andrei Bacu
Towards a semantic-driven automatic staging area design for heterogeneous data integration. iiWAS (2012)
Cristina Bianca Pop, Viorica Rozina Chifu, Ioan Salomie, Mihaela Dînsoreanu, Tudor David, Vlad Acretoaie, Aliz Nagy, Ciprian Oprisa
Biologically-inspired clustering of semantic Web services. Birds or ants intelligence? Concurr. Comput. Pract. Exp. 24 (6) (2012)
Cristina Bianca Pop, Viorica R. Chifu, Ioan Salomie, Mihaela Dînsoreanu, Tudor David, Vlad Acretoaie
Ant-inspired Framework for Automatic Web Service Composition. Scalable Comput. Pract. Exp. 12 (1) (2011)
Cristina Bianca Pop, Viorica Rozina Chifu, Ioan Salomie, Ramona Bianca Baico, Mihaela Dînsoreanu, Georgiana Copil
A Hybrid Firefly-inspired Approach for Optimal Semantic Web Service Composition. Scalable Comput. Pract. Exp. 12 (3) (2011)
Viorica R. Chifu, Cristina Bianca Pop, Ioan Salomie, Mihaela Dînsoreanu, Alexandru Nicolae Niculici, Dumitru Samuel Suia
Bio-inspired methods for selecting the optimal web service composition: Bees or cuckoos intelligence? Int. J. Bus. Intell. Data Min. 6 (4) (2011)
Cristina Bianca Pop, Monica Vlad, Viorica R. Chifu, Ioan Salomie, Mihaela Dînsoreanu
A Tabu Search Optimization Approach for Semantic Web Service Composition. ISPDC (2011)
Mihaela Dînsoreanu, Bogdan Neacsa, Catalin Cupse, Rodica Potolea
A layered approach for enabling context-sensitive content. ICCP (2011)
Aliz Nagy, Ciprian Oprisa, Ioan Salomie, Cristina Bianca Pop, Viorica R. Chifu, Mihaela Dînsoreanu
Particle Swarm Optimization for Clustering Semantic Web Services. ISPDC (2011)
Cristina Bianca Pop, Viorica R. Chifu, Ioan Salomie, Mihaela Dînsoreanu, Tudor David, Vlad Acretoaie
Semantic Web Service Clustering for Efficient Discovery Using an Ant-Based Method. IDC (2010)
Cristina Bianca Pop, Viorica R. Chifu, Ioan Salomie, Mihaela Dînsoreanu, Tudor David, Vlad Acretoaie
Ant-Inspired Technique for Automatic Web Service Composition and Selection. SYNASC (2010)
Ioan Salomie, Mihaela Dînsoreanu, Cristina Bianca Pop, Razvan Lar
Knowledge Acquisition and Processing System for Romanian Historical Documents. SYNASC (2010)
Ionut Anghel, Tudor Cioara, Ioan Salomie, Mihaela Dînsoreanu, Anca Rarau
Middleware for Smart Environments Management. Int. J. Comput. Commun. Control 5 (2) (2010)
Tudor Cioara, Ionut Anghel, Ioan Salomie, Mihaela Dînsoreanu, Georgiana Copil, Daniel Moldovan
A reinforcement learning based self-healing algorithm for managing context adaptation. iiWAS (2010)
Viorica R. Chifu, Cristina Bianca Pop, Ioan Salomie, Mihaela Dînsoreanu, Alexandru Nicolae Niculici, Dumitru Samuel Suia
Selecting the optimal web service composition based on a multi-criteria bee-inspired method. iiWAS (2010)
Ionut Anghel, Tudor Cioara, Ioan Salomie, Mihaela Dînsoreanu
An Autonomic Context Management Model Based on Machine Learning. SYNASC (2010)
Cristina Bianca Pop, Viorica R. Chifu, Ioan Salomie, Mihaela Dînsoreanu, Iulia Vartic, Monica Vlad
Immune-inspired Web Service Composition Framework. SYNASC (2009)
Cristina Bianca Pop, Viorica R. Chifu, Ioan Salomie, Mihaela Dînsoreanu
Immune-Inspired Method for Selecting the Optimal Solution in Web Service Composition. RED (2009)
Ioan Salomie, Mihaela Dînsoreanu, Cristina Pop, Sorin Liviu Suciu
ArhiNet - A Knowledge-Based System for Creating, Processing and Retrieving Archival eContent. WEBIST (Selected Papers) (2009)
Tudor Cioara, Ionut Anghel, Ioan Salomie, Mihaela Dînsoreanu
A Generic Context Model Enhanced with Self-Configuring Features. J. Digit. Inf. Manag. 7 (3) (2009)
Tudor Cioara, Ionut Anghel, Ioan Salomie, Mihaela Dînsoreanu
A Policy-Based Context Aware Self-Management Model. SYNASC (2009)
Ioan Salomie, Mihaela Dînsoreanu, Cristina Bianca Pop, Sorin Liviu Suciu, Tudor Vlad, Ioana Iacob
ArhiNet - A System for Generating and Processing Semantically-Enhanced Archival eContent. WEBIST (2009)
Ionut Anghel, Tudor Cioara, Ioan Salomie, Mihaela Dînsoreanu, Anca Rarau
A Self-Configuring Middleware for Managing Context Awareness. WINSYS (2009)
Ioan Salomie, Mihaela Dînsoreanu, Cristina Bianca Pop, Sorin Liviu Suciu
Model and SOA solutions for traceability in logistic chains. iiWAS (2008)
Tudor Cioara, Ionut Anghel, Ioan Salomie, Mihaela Dînsoreanu
A generic context model with autonomic features. ICDIM (2008)
Mihaela Dînsoreanu, Cristian Godja, Claudiu Anghel, Ioan Salomie, Tom Coffey
Mobile Agent Based Solutions for Knowledge Assessment in elearning Environments CoRR (2006)
Mihaela Dînsoreanu, Ioan Salomie, Kalman Pusztai
On the Design of Agent-Based Systems using UML and Extensions CoRR (2006)
Tudor Marian, Bogdan Dumitriu, Mihaela Dînsoreanu, Ioan Salomie
A framework of reusable structures for mobile agent development CoRR (2006)