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Mihaela Dînsoreanu
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- affiliation: Technical University of Cluj-Napoca, Romania
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2020 – today
- 2025
- [j10]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: 101704 (2025) - 2023
- [j9]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) - [c60]Iulia-Maria Rus, Raluca Portase, Ramona Tolas, Camelia Lemnaru, Mihaela Dînsoreanu, Rodica Potolea:
Extracting Appliance Behavior from Heterogeneous Data. ICCP 2023: 87-92 - [c59]Adriana-Ioana Ardelean, Eugen-Richard Ardelean, Vasile Vlad Moca, Raul Cristian Muresan, Mihaela Dînsoreanu:
Burst detection in neuronal activity. ICCP 2023: 349-356 - [c58]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: 357-362 - [c57]Eugen-Richard Ardelean, George Florin Grosu, Romulus Terebes, Mihaela Dînsoreanu:
Exploiting the Self-Organizing Map for Spike Sorting. ICCP 2023: 363-369 - [c56]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: 371-378 - [c55]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: 147-161 - 2022
- [c54]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: 1-6 - [c53]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: 65-72 - [c52]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: 73-80 - [c51]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: 221-227 - [c50]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: 229-235 - [c49]Catalin Firte, Loredana Iamnitchi, Raluca Portase, Ramona Tolas, Rodica Potolea, Mihaela Dînsoreanu, Camelia Lemnaru:
Knowledge inference from home appliances data. ICCP 2022: 237-243 - 2021
- [j8]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): 1230 (2021) - [c48]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: 455-460 - [c47]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: 477-481 - [c46]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: 251-262 - 2020
- [c45]Emanuela L. Dan, Mihaela Dînsoreanu, Raul Cristian Muresan:
Accuracy of Six Interpolation Methods Applied on Pupil Diameter Data. AQTR 2020: 1-5 - [c44]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: 1-6 - [c43]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: 21-28 - [c42]Vlad Mihai Petrutiu, Liana-Daniela Palcu, Camelia Lemnaru, Mihaela Dînsoreanu, Rodica Potolea, Raul Cristian Muresan, Vasile Vlad Moca:
Enhancing the Classification of EEG Signals using Wasserstein Generative Adversarial Networks. ICCP 2020: 29-34 - [c41]Eliza Maria Olariu, Ramona Tolas, Raluca Portase, Mihaela Dînsoreanu, Rodica Potolea:
Modern approaches to preprocessing industrial data. ICCP 2020: 221-226
2010 – 2019
- 2019
- [c40]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: 41-47 - [c39]Erika-Timea Albert, Camelia Lemnaru, Mihaela Dînsoreanu, Rodica Potolea:
Keyword Spotting using Dynamic Time Warping and Convolutional Recurrent Networks. ICCP 2019: 53-60 - [c38]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: 419-425 - [c37]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: 67-82 - 2018
- [c36]Beniamin Bucur, Iulia Somfelean, Alexandru Ghiurutan, Camelia Lemnaru, Mihaela Dînsoreanu:
An early fusion approach for multimodal emotion recognition using deep recurrent networks. ICCP 2018: 71-78 - 2017
- [c35]Elena Nedelcu, Raluca Portase, Ramona Tolas, Raul Cristian Muresan, Mihaela Dînsoreanu, Rodica Potolea:
Artifact detection in EEG using machine learning. ICCP 2017: 77-83 - [c34]Iacob D. Rus, Paul Marc, Mihaela Dînsoreanu, Rodica Potolea, Raul Cristian Muresan:
Classification of EEG signals in an object recognition task. ICCP 2017: 391-395 - [c33]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: 80-92 - [c32]Dan-Ovidiu Graur, Razvan-Alexandru Maris, Rodica Potolea, Mihaela Dînsoreanu, Camelia Lemnaru:
Complex Localization in the Multiple Instance Learning Context. NFMCP@PKDD/ECML 2017: 93-106 - 2016
- [c31]Vlad Vasile Itu, Rodica Potolea, Mihaela Dînsoreanu:
Unsupervised Classification of Opinions. KDIR 2016: 360-366 - [c30]Kinga Budai, Mihaela Dînsoreanu, Ioana Barbantan, Rodica Potolea:
Learning relations using semantic-based vector similarity. ICCP 2016: 69-75 - [c29]Stefana Chirila, Camelia Lemnaru, Mihaela Dînsoreanu:
Semantic-based IoT device discovery and recommendation mechanism. ICCP 2016: 111-116 - 2015
- [c28]Victor Ionescu, Rodica Potolea, Mihaela Dînsoreanu:
Data Driven Structural Similarity. KDIR 2015: 67-74 - [c27]Stefan Prisca, Mihaela Dînsoreanu, Camelia Lemnaru:
Topic Oriented Auto-completion Models. KDIR 2015: 241-248 - [c26]Stefan Prisca, Rodica Potolea, Mihaela Dînsoreanu:
A language independent user adaptable approach for word auto-completion. ICCP 2015: 43-49 - 2014
- [j7]Mihaela Dînsoreanu, Rodica Potolea:
Opinion-driven communities' detection. Int. J. Web Inf. Syst. 10(4): 324-342 (2014) - [c25]Octavian Lucian Hasna, Florin Cristian Macicasan, Mihaela Dînsoreanu, Rodica Potolea:
Sentiment Polarity Extension for Context-Sensitive Recommender Systems . KDIR 2014: 126-137 - [c24]Octavian Lucian Hasna, Florin Cristian Macicasan, Mihaela Dînsoreanu, Rodica Potolea:
Modeling Sentiment Polarity with Meta-features to Achieve Domain-Independence. IC3K (Selected Papers) 2014: 212-227 - [c23]Mihaela Dînsoreanu, Andrei Bacu:
Unsupervised Twitter Sentiment Classification. KMIS 2014: 220-227 - [c22]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: 233-241 - 2013
- [c21]Mihaela Dînsoreanu, Rodica Potolea:
A scalable approach for Contradiction Detection driven by Opinion mining. iiWAS 2013: 7 - 2012
- [j6]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): 619-633 (2012) - [c20]Mihaela Dînsoreanu, Rodica Potolea:
Towards a Unified Thematic Model for Recommending Context-Sensitive Content. IC3K 2012: 68-83 - [c19]Mihaela Dînsoreanu, Florin Cristian Macicasan, Octavian Lucian Hasna, Rodica Potolea:
A Unified Approach for Context-sensitive Recommendations. KDIR 2012: 85-94 - [c18]Mihaela Dînsoreanu, Lucian Braescu, Andrei Bacu:
Towards a semantic-driven automatic staging area design for heterogeneous data integration. iiWAS 2012: 290-293 - 2011
- [j5]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): 321-344 (2011) - [j4]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) - [j3]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) - [c17]Mihaela Dînsoreanu, Bogdan Neacsa, Catalin Cupse, Rodica Potolea:
A layered approach for enabling context-sensitive content. ICCP 2011: 19-26 - [c16]Aliz Nagy, Ciprian Oprisa, Ioan Salomie, Cristina Bianca Pop, Viorica R. Chifu, Mihaela Dînsoreanu:
Particle Swarm Optimization for Clustering Semantic Web Services. ISPDC 2011: 170-177 - [c15]Cristina Bianca Pop, Monica Vlad, Viorica R. Chifu, Ioan Salomie, Mihaela Dînsoreanu:
A Tabu Search Optimization Approach for Semantic Web Service Composition. ISPDC 2011: 274-277 - 2010
- [j2]Ionut Anghel, Tudor Cioara, Ioan Salomie, Mihaela Dînsoreanu, Anca Rarau:
Middleware for Smart Environments Management. Int. J. Comput. Commun. Control 5(2): 148-159 (2010) - [c14]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: 23-33 - [c13]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: 40-47 - [c12]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: 859-862 - [c11]Ioan Salomie, Mihaela Dînsoreanu, Cristina Bianca Pop, Razvan Lar:
Knowledge Acquisition and Processing System for Romanian Historical Documents. SYNASC 2010: 194-201 - [c10]Ionut Anghel, Tudor Cioara, Ioan Salomie, Mihaela Dînsoreanu:
An Autonomic Context Management Model Based on Machine Learning. SYNASC 2010: 335-338 - [c9]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: 449-455
2000 – 2009
- 2009
- [j1]Tudor Cioara, Ionut Anghel, Ioan Salomie, Mihaela Dînsoreanu:
A Generic Context Model Enhanced with Self-Configuring Features. J. Digit. Inf. Manag. 7(3): 159-165 (2009) - [c8]Cristina Bianca Pop, Viorica R. Chifu, Ioan Salomie, Mihaela Dînsoreanu:
Immune-Inspired Method for Selecting the Optimal Solution in Web Service Composition. RED 2009: 1-17 - [c7]Tudor Cioara, Ionut Anghel, Ioan Salomie, Mihaela Dînsoreanu:
A Policy-Based Context Aware Self-Management Model. SYNASC 2009: 333-340 - [c6]Cristina Bianca Pop, Viorica R. Chifu, Ioan Salomie, Mihaela Dînsoreanu, Iulia Vartic, Monica Vlad:
Immune-inspired Web Service Composition Framework. SYNASC 2009: 376-383 - [c5]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: 99-112 - [c4]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: 151-158 - [c3]Ionut Anghel, Tudor Cioara, Ioan Salomie, Mihaela Dînsoreanu, Anca Rarau:
A Self-Configuring Middleware for Managing Context Awareness. WINSYS 2009: 131-138 - 2008
- [c2]Tudor Cioara, Ionut Anghel, Ioan Salomie, Mihaela Dînsoreanu:
A generic context model with autonomic features. ICDIM 2008: 870-875 - [c1]Ioan Salomie, Mihaela Dînsoreanu, Cristina Bianca Pop, Sorin Liviu Suciu:
Model and SOA solutions for traceability in logistic chains. iiWAS 2008: 339-344 - 2006
- [i3]Mihaela Dînsoreanu, Ioan Salomie, Kalman Pusztai:
On the Design of Agent-Based Systems using UML and Extensions. CoRR abs/cs/0605031 (2006) - [i2]Tudor Marian, Bogdan Dumitriu, Mihaela Dînsoreanu, Ioan Salomie:
A framework of reusable structures for mobile agent development. CoRR abs/cs/0605032 (2006) - [i1]Mihaela Dînsoreanu, Cristian Godja, Claudiu Anghel, Ioan Salomie, Tom Coffey:
Mobile Agent Based Solutions for Knowledge Assessment in elearning Environments. CoRR abs/cs/0605033 (2006)
Coauthor Index
aka: Viorica Rozina Chifu
aka: Vasile V. Moca
aka: Cristina Bianca Pop
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