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Rodica Potolea
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- affiliation: Technical University of Cluj-Napoca, Romania
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2020 – today
- 2024
- [j12]Ramona Tolas
, Raluca Portase
, Rodica Potolea
:
GeMSyD: Generic Framework for Synthetic Data Generation. Data 9(1): 14 (2024) - [j11]Diana-Elena Petrean
, Rodica Potolea
:
Random forest evaluation using multi-key homomorphic encryption and lookup tables. Int. J. Inf. Sec. 23(3): 2023-2041 (2024) - [j10]Diana-Elena Petrean
, Rodica Potolea
:
Homomorphic encrypted Yara rules evaluation. J. Inf. Secur. Appl. 82: 103738 (2024) - [j9]Raluca Portase
, Ramona Tolas
, Rodica Potolea
:
SmartLaundry: A Real-Time System for Public Laundry Allocation in Smart Cities. Sensors 24(7): 2159 (2024) - [c96]Vlad-Andrei Negru, Robert Vacareanu, Camelia Lemnaru, Mihai Surdeanu, Rodica Potolea:
From Text to Taste: Advancing Smart Appliances with Multilingual Recipe Interpretation. ICDEW 2024: 13-20 - [c95]Ramona Tolas, Raluca Portase, Rodica Potolea:
Advancements in Household Data Mining: Fine-Tuning of Usage Pattern Inference Pipeline. IoTBDS 2024: 53-61 - 2023
- [j8]Florin Cristian Macicasan, Alexandru Frasie, Nicoleta-Teodora Vezan, Camelia Lemnaru
, Rodica Potolea:
Evolving a Pipeline Approach for Abstract Meaning Representation Parsing Towards Dynamic Neural Networks. Int. J. Neural Syst. 33(7): 2350040:1-2350040:15 (2023) - [c94]Iulia-Maria Rus, Raluca Portase, Ramona Tolas, Camelia Lemnaru, Mihaela Dînsoreanu, Rodica Potolea:
Extracting Appliance Behavior from Heterogeneous Data. ICCP 2023: 87-92 - [c93]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 - [c92]Vlad-Andrei Negru, Camelia Lemnaru
, Rodica Potolea
:
Multitask, Cross-Lingual Recipe Classification Using Joint Fine-Tuning Mechanisms. iiWAS 2023: 547-552 - [e6]Sergiu Nedevschi, Rodica Potolea, Radu Razvan Slavescu:
19th IEEE International Conference on Intelligent Computer Communication and Processing, ICCP 2023, Cluj-Napoca, Romania, October 26-28, 2023. IEEE 2023, ISBN 979-8-3503-7035-5 [contents] - 2022
- [c91]Eliza Maria Olariu, Raluca Portase
, Ramona Tolas, Rodica Potolea:
Predictive Maintenance - Exploring strategies for Remaining Useful Life (RUL) prediction. ICCP 2022: 3-8 - [c90]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 - [c89]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 - [c88]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 - [c87]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
- [j7]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) - [j6]Ioan Stan
, Vasile Suciu, Rodica Potolea:
Scalable Data Model for Traffic Congestion Avoidance in a Vehicle to Cloud Infrastructure. Sensors 21(15): 5074 (2021) - [c86]Raluca Portase
, Ramona Tolas, Rodica Potolea:
MEDIS: Analysis Methodology for Data with Multiple Complexities. KDIR 2021: 191-198 - [c85]Ioan Stan, Bogdan-Paul Ungur, Rodica Potolea:
Augmented Van Emde Boas Tree for Connected Vehicles Traffic Modeling. ICCP 2021: 199-208 - [c84]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 - [c83]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 - [c82]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 - [c81]Ramona Tolas, Raluca Portase
, Andrei Iosif, Rodica Potolea:
Periodicity detection algorithm and applications on IoT data. ISPDC 2021: 81-88 - [e5]Rodica Potolea, Bogdan Iancu, Radu Razvan Slavescu:
20th International Symposium on Parallel and Distributed Computing, ISPDC 2021, Cluj-Napoca, Romania, July 28-30, 2021. IEEE 2021, ISBN 978-1-6654-3281-8 [contents] - 2020
- [c80]Andrei Mihalca, Ciprian Oprisa
, Rodica Potolea:
Hunting for Malware Code in Massive Collections. AQTR 2020: 1-6 - [c79]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 - [c78]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 - [c77]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 - [c76]Cristian Lungu, Rodica Potolea:
Optimising the pool test method for COVID-19 using evolutionary algorithms. ICCP 2020: 123-127 - [c75]Codrin-Mihai Chira, Raluca Portase
, Ramona Tolas, Camelia Lemnaru
, Rodica Potolea:
A System for Managing and Processing Industrial Sensor Data: SMS. ICCP 2020: 213-220 - [c74]Eliza Maria Olariu, Ramona Tolas, Raluca Portase
, Mihaela Dînsoreanu
, Rodica Potolea:
Modern approaches to preprocessing industrial data. ICCP 2020: 221-226 - [c73]Mihaela Alexandra Vasiu, Rodica Potolea:
Enhancing Tokenization by Embedding Romanian Language Specific Morphology. ICCP 2020: 243-250 - [c72]Ioan Stan, Raul Ghisa, Rodica Potolea:
Urban Traffic Simulation Methodology for Connected Vehicles Congestion Avoidance. iiWAS 2020: 305-312 - [e4]Sergiu Nedevschi, Rodica Potolea, Radu Razvan Slavescu:
16th IEEE International Conference on Intelligent Computer Communication and Processing, ICCP 2020, Cluj-Napoca, Romania, September 3-5, 2020. IEEE 2020, ISBN 978-1-7281-9080-8 [contents]
2010 – 2019
- 2019
- [c71]Rodica Potolea, Camelia Lemnaru
:
Understanding and Addressing Change in Computer Science Education. CSCS 2019: 395-397 - [c70]Ioan Stan, Vasile Suciu, Rodica Potolea:
Routing Algorithms in Connected Cars Context. KEOD 2019: 290-297 - [c69]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 - [c68]Erika-Timea Albert, Camelia Lemnaru
, Mihaela Dînsoreanu
, Rodica Potolea:
Keyword Spotting using Dynamic Time Warping and Convolutional Recurrent Networks. ICCP 2019: 53-60 - [c67]Lucian Cristea, Rodica Potolea:
A Robust Vehicle Trajectory Prediction System Deep learning based approach with a novel fusion technique. ICCP 2019: 411-418 - [c66]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 - [c65]Ioan Stan, Vasile Suciu, Rodica Potolea:
Smart Driving Methodology for Connected Cars. ICSTCC 2019: 608-613 - [c64]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 - [e3]Sergiu Nedevschi, Rodica Potolea, Radu Razvan Slavescu:
15th IEEE International Conference on Intelligent Computer Communication and Processing, ICCP 2019, Cluj-Napoca, Romania, September 5-7, 2019. IEEE 2019, ISBN 978-1-7281-4914-1 [contents] - 2018
- [j5]Zalán Borsos, Camelia Lemnaru
, Rodica Potolea:
Dealing with overlap and imbalance: a new metric and approach. Pattern Anal. Appl. 21(2): 381-395 (2018) - [c63]Mihaela Alexandra Vasiu, Luminita Madalina Marghescu, Ioana Barbantan, Rodica Potolea:
Cross Documents Concept Augmentation. ICCP 2018: 29-36 - [c62]Roxana Pop, Anda Dregan, Florin Cristian Macicasan, Camelia Lemnaru
, Rodica Potolea:
Enhancements on a Transition-Based Approach for AMR Parsing Using LSTM Networks. ICCP 2018: 55-62 - [c61]Ioan Stan, Dan Toderici, Rodica Potolea:
Segment Trees based Traffic Congestion Avoidance in Connected Cars Context. ICCP 2018: 137-143 - [c60]Cristian Lungu, Rodica Potolea:
Super-Resolution Generator Networks: A comparative study. ICCP 2018: 333-337 - [c59]Ioan Stan, Rodica Potolea:
Connected Cars Traffic Flow Balancing Based on Classification and Calibration. MIKE 2018: 177-188 - [c58]Octavian Lucian Hasna, Rodica Potolea:
Analysing a Periodical and Multi-dimensional Time Series. MIKE 2018: 268-278 - 2017
- [c57]Octavian Lucian Hasna
, Rodica Potolea:
Robust Feature Extraction from Noisy ECG for Atrial Fibrillation Detection. CinC 2017 - [c56]Elena Nedelcu, Raluca Portase
, Ramona Tolas, Raul Cristian Muresan
, Mihaela Dînsoreanu
, Rodica Potolea:
Artifact detection in EEG using machine learning. ICCP 2017: 77-83 - [c55]Octavian Lucian Hasna
, Rodica Potolea:
Time series - A taxonomy based survey. ICCP 2017: 231-238 - [c54]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 - [c53]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 - [c52]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
- [j4]Ioana Barbantan, Mihaela Porumb, Camelia Lemnaru
, Rodica Potolea:
Feature Engineered Relation Extraction - Medical Documents Setting. Int. J. Web Inf. Syst. 12(3): 336-358 (2016) - [c51]Octavian Lucian Hasna, Rodica Potolea:
The Longest Common Subsequence Distance using a Complexity Factor. KDIR 2016: 336-343 - [c50]Ioana Barbantan, Rodica Potolea:
Learning Diagnosis from Electronic Health Records. KDIR 2016: 344-351 - [c49]Adrian Bona, Camelia Lemnaru
, Rodica Potolea:
Syllabification with Frequent Sequence Patterns - A Language Independent Approach. KDIR 2016: 352-359 - [c48]Vlad Vasile Itu, Rodica Potolea, Mihaela Dînsoreanu
:
Unsupervised Classification of Opinions. KDIR 2016: 360-366 - [c47]Kinga Budai, Mihaela Dînsoreanu
, Ioana Barbantan, Rodica Potolea:
Learning relations using semantic-based vector similarity. ICCP 2016: 69-75 - [c46]Alexandru Cristian Cosma, Rodica Potolea:
Meta-NEAT, meta-analysis of neuroevolving topologies. iiWAS 2016: 133-140 - 2015
- [c45]Lucian Radu Teodorescu, Vlad Dumitrel, Rodica Potolea:
General Efficiency Analysis for the Sparrow Programming Language. CSCS 2015: 512-519 - [c44]Camelia Lemnaru
, Rodica Potolea:
Evolutionary Cost-Sensitive Balancing: A Generic Method for Imbalanced Classification Problems. EVOLVE 2015: 194-209 - [c43]Paul Parau, Camelia Lemnaru
, Rodica Potolea:
Assessing Vertex Relevance based on Community Detection. KDIR 2015: 46-56 - [c42]Victor Ionescu, Rodica Potolea, Mihaela Dînsoreanu
:
Data Driven Structural Similarity. KDIR 2015: 67-74 - [c41]Sebastian Muresan, Ioana Faloba, Camelia Lemnaru
, Rodica Potolea:
Pre-processing flow for enhancing learning from medical data. ICCP 2015: 27-34 - [c40]Diana Balc, Anamaria Beleiu, Rodica Potolea, Camelia Lemnaru
:
A learning-based approach for Romanian syllabification and stress assignment. ICCP 2015: 37-42 - [c39]Stefan Prisca, Rodica Potolea, Mihaela Dînsoreanu
:
A language independent user adaptable approach for word auto-completion. ICCP 2015: 43-49 - [c38]Mihaela Porumb, Ioana Barbantan, Camelia Lemnaru
, Rodica Potolea:
REMed: automatic relation extraction from medical documents. iiWAS 2015: 19:1-19:10 - 2014
- [j3]Mihaela Dînsoreanu
, Rodica Potolea:
Opinion-driven communities' detection. Int. J. Web Inf. Syst. 10(4): 324-342 (2014) - [c37]Ioana Barbantan, Rodica Potolea:
Exploiting word meaning for negation identification in electronic health records. AQTR 2014: 1-7 - [c36]Lucian Radu Teodorescu, Vlad Dumitrel, Rodica Potolea:
Moving computations from run-time to compile-time: hyper-metaprogramming in practice. Conf. Computing Frontiers 2014: 17:1-17:10 - [c35]Octavian Lucian Hasna, Florin Cristian Macicasan, Mihaela Dînsoreanu
, Rodica Potolea:
Sentiment Polarity Extension for Context-Sensitive Recommender Systems . KDIR 2014: 126-137 - [c34]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 - [c33]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 - [c32]Ioana Barbantan, Camelia Lemnaru
, Rodica Potolea:
Disease Identification in Electronic Health Records - An Ontology based Approach. KDIR 2014: 261-268 - [c31]Ioana Barbantan, Rodica Potolea:
Towards Cross Language Morphologic Negation Identification in Electronic Health Records. MONAMI 2014: 417-430 - 2013
- [c30]Mihaela Dînsoreanu
, Rodica Potolea:
A scalable approach for Contradiction Detection driven by Opinion mining. iiWAS 2013: 7 - [c29]Camelia Lemnaru
, Adrian Bona, Rodica Potolea:
Distributed Methodologies for Imbalanced Classification Problems: Parameter Analysis and Tuning. ISPDC 2013: 53-58 - [c28]Ioana Muresan, Adriana Stan, Mircea Giurgiu, Rodica Potolea:
Evaluation of sentiment polarity prediction using a dimensional and a categorical approach. SpeD 2013: 1-6 - [c27]Lucian Radu Teodorescu, Rodica Potolea:
Compiler Design for Hyper-metaprogramming. SYNASC 2013: 201-208 - [e2]Nicolae Tapus, Dan Grigoras, Rodica Potolea, Florin Pop:
IEEE 12th International Symposium on Parallel and Distributed Computing, ISPDC 2013, Bucharest, Romania, June 27-30, 2013. IEEE 2013, ISBN 978-1-4799-2967-2 [contents] - 2012
- [c26]Mihaela Dînsoreanu
, Rodica Potolea:
Towards a Unified Thematic Model for Recommending Context-Sensitive Content. IC3K 2012: 68-83 - [c25]Mihaela Dînsoreanu, Florin Cristian Macicasan, Octavian Lucian Hasna, Rodica Potolea:
A Unified Approach for Context-sensitive Recommendations. KDIR 2012: 85-94 - [c24]Camelia Lemnaru, Andreea Tudose-Vintila, Andrei Coclici, Rodica Potolea:
A Hybrid Solution for Imbalanced Classification Problems - Case Study on Network Intrusion Detection. KDIR 2012: 348-352 - [c23]Camelia Lemnaru, Andreea Sin-Neamtiu, Mihai-Andrei Veres, Rodica Potolea:
A System for Historical Documents Transcription based on Hierarchical Classification and Dictionary Matching. KDIR 2012: 353-357 - [c22]Camelia Lemnaru
, Mihai Cuibus, Adrian Bona, Andrei Alic, Rodica Potolea:
A Distributed Methodology for Imbalanced Classification Problems. ISPDC 2012: 164-171 - [c21]Mihai Cuibus, Rodica Potolea:
Adaptable swarm intelligence framework. WIMS 2012: 39:1-39:7 - [e1]Michael Bader, Hans-Joachim Bungartz, Dan Grigoras, Miriam Mehl, Ralf-Peter Mundani, Rodica Potolea:
11th International Symposium on Parallel and Distributed Computing, ISPDC 2012, Munich, Germany, June 25-29, 2012. IEEE Computer Society 2012, ISBN 978-1-4673-2599-8 [contents] - 2011
- [c20]Andrei Vanea, Rodica Potolea:
A method for dinamically creating data cube structures. ICCP 2011: 3-10 - [c19]Camelia Lemnaru
, Adina Anca Firte, Rodica Potolea:
Static and dynamic user type identification in adaptive e-learning with unsupervised methods. ICCP 2011: 11-18 - [c18]Mihaela Dînsoreanu
, Bogdan Neacsa, Catalin Cupse, Rodica Potolea:
A layered approach for enabling context-sensitive content. ICCP 2011: 19-26 - [c17]Rodica Potolea, Camelia Lemnaru:
A Comprehensive Study of the Effect of Class Imbalance on the Performance of Classifiers. ICEIS (1) 2011: 14-21 - [c16]Camelia Lemnaru
, Rodica Potolea:
Imbalanced Classification Problems: Systematic Study, Issues and Best Practices. ICEIS 2011: 35-50 - [c15]Andrei Vanea, Rodica Potolea:
Semantically Enhancing Multimedia Data Warehouses - Using Ontologies as Part of the Metadata. ICEIS (1) 2011: 163-168 - [c14]Dodut Aurora Andrada, Camelia Lemnaru
, Rodica Potolea:
The Parallel Classification of Very Large Collections of Data on Multi-core Platforms. ISPDC 2011: 57-62 - [c13]Andrei Alic, Simona Visan, Rodica Potolea:
Towards Fast Bioinformatics Algorithms: Benchmarking the GPGPU. ISPDC 2011: 258-261 - [c12]Mihai Calin Feier, Camelia Lemnaru
, Rodica Potolea:
Solving NP-Complete Problems on the CUDA Architecture Using Genetic Algorithms. ISPDC 2011: 278-281 - 2010
- [c11]Ioana Barbantan, Camelia Lemnaru, Rodica Potolea:
A Hierarchical Handwritten Offline Signature Recognition System. ICEIS (2) 2010: 139-147 - [c10]Silviu Cacoveanu, Camelia Vidrighin Bratu, Rodica Potolea:
Evaluating Prediction Strategies in an Enhanced Meta-learning Framework. ICEIS (2) 2010: 148-156 - [c9]Rodica Potolea, Ioana Barbantan, Camelia Lemnaru
:
A Hierarchical Approach for the Offline Handwritten Signature Recognition. ICEIS 2010: 264-279 - [c8]Rodica Potolea, Silviu Cacoveanu, Camelia Lemnaru
:
Meta-learning Framework for Prediction Strategy Evaluation. ICEIS 2010: 280-295 - [c7]Rodica Potolea, Camelia Lemnaru:
Dealing with Imbalanced Problems - Issues and Best Practices. ICEIS (2) 2010: 443-446
2000 – 2009
- 2009
- [c6]Camelia Vidrighin Bratu, Rodica Potolea:
Towards a Unified Strategy for the Preprocessing Step in Data Mining. ICEIS (2) 2009: 230-235 - [c5]Camelia Vidrighin Bratu, Rodica Potolea:
Unified Strategy for Feature Selection and Data Imputation. SYNASC 2009: 413-419 - 2008
- [j2]Camelia Vidrighin Bratu, Rodica Potolea:
ProICET: a cost-sensitive system for prostate cancer data. Health Informatics J. 14(4): 297-307 (2008) - [c4]Camelia Vidrighin Bratu, Rodica Potolea:
Towards a Combined Approach to Feature Selection. ICSOFT (ISDM/ABF) 2008: 134-139 - 2007
- [c3]Rodica Potolea, Camelia Vidrighin Bratu, Cristina Savin
:
ProICET - A Cost-Sensitive System for the Medical Domain. ICNC (2) 2007: 338-342 - [c2]Rodica Potolea, Alin Suciu:
Finding the Optimal Read Buffer Size for Grid Applications. SYNASC 2007: 323-326 - 2006
- [i1]Alin Suciu, Rodica Potolea, Tudor Muresan:
Benchmark Problems for Constraint Solving. CoRR abs/cs/0603099 (2006) - 2002
- [j1]Smaranda Muresan, Tudor Muresan, Rodica Potolea:
Data Flow Coherence Constraints for Pruning the Search Space in ILP Tools. Int. J. Artif. Intell. Tools 11(2): 203-218 (2002) - 2001
- [c1]Smaranda Muresan, Tudor Muresan, Rodica Potolea:
Data Flow Coherence Criteria in ILP Tools. ICTAI 2001: 179-186
Coauthor Index
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