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ORCIDFlavius Frasincar
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- affiliation: Erasmus University Rotterdam, The Netherlands
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2020 – today
- 2024
[j78]Edmar Langendoen, Flavius Frasincar
, Mark Riezebos, Vladyslav Matsiiako, David Boekestijn:
Revenue maximization for multiple advertisements placement on a web banner using a pixel-price model. Ann. Oper. Res. 337(1): 135-166 (2024)- [j77]Damir Vandic, Lennart J. Nederstigt, Flavius Frasincar, Uzay Kaymak, Enzo Ido:
A framework for approximate product search using faceted navigation and user preference ranking. Data Knowl. Eng. 149: 102241 (2024) - [j76]Bastiaan C. Dunn, Flavius Frasincar, Vladyslav Matsiiako, David Boekestijn, Finn van der Knaap:
Bayes goes big: Distributed MCMC and the drivers of E-commerce conversion. Expert Syst. Appl. 252: 124116 (2024) - [j75]Stelios Giannikis, Flavius Frasincar, David Boekestijn:
Reinforcement learning for addressing the cold-user problem in recommender systems. Knowl. Based Syst. 294: 111752 (2024) - [j74]Gabriel Budel, Flavius Frasincar, David Boekestijn:
DBHC: Discrete Bayesian HMM Clustering. Int. J. Mach. Learn. Cybern. 15(8): 3439-3454 (2024) - [c160]Bron Hollander, Flavius Frasincar, Finn van der Knaap:
Data Augmentation Using BERT-Based Models for Aspect-Based Sentiment Analysis. ICWE 2024: 115-122 - [c159]Gonem Lau, Flavius Frasincar, Finn van der Knaap:
Weakly-Supervised Left-Center-Right Context-Aware Aspect Category and Sentiment Classification. ICWE 2024: 265-280 - 2023
- [j73]Maria Mihaela Trusca, Flavius Frasincar:
Survey on aspect detection for aspect-based sentiment analysis. Artif. Intell. Rev. 56(5): 3797-3846 (2023) - [j72]Siemen Spinder, Flavius Frasincar, Vladyslav Matsiiako, David Boekestijn, Thomas Brandt:
A text mining approach to identifying sustainability in the private sector. Comput. Ind. 149: 103932 (2023) - [j71]Gianni Brauwers, Flavius Frasincar:
A Survey on Aspect-Based Sentiment Classification. ACM Comput. Surv. 55(4): 65:1-65:37 (2023) - [j70]Bram Poppink, Flavius Frasincar, Tarmo Robal:
An experimental study on re-ranking web shop search results using semantic segmentation of user profiles. Electron. Commer. Res. Appl. 62: 101310 (2023) - [j69]Mikolaj Kulakowski, Flavius Frasincar:
Sentiment Classification of Cryptocurrency-Related Social Media Posts. IEEE Intell. Syst. 38(4): 5-9 (2023) - [j68]Matteo Lengkeek, Finn van der Knaap, Flavius Frasincar:
Leveraging hierarchical language models for aspect-based sentiment analysis on financial data. Inf. Process. Manag. 60(5): 103435 (2023) - [j67]Richard Chbeir, Flavius Frasincar, Yannis Manolopoulos:
Editorial Note to the special issue of the Information Systems journal on Web Engineering with selected papers from ICWE 2021 conference. Inf. Syst. 113: 102146 (2023) - [j66]Mounir M. Bendouch, Flavius Frasincar, Tarmo Robal:
A visual-semantic approach for building content-based recommender systems. Inf. Syst. 117: 102243 (2023) - [j65]Thomas Brink, Jim Leferink op Reinink, Mathilde Tans, Lourens Vale, Flavius Frasincar, Enzo Ido:
A certainty-based approach for dynamic hierarchical classification of product order satisfaction. Inf. Sci. 643: 119244 (2023) - [j64]Kunal Geed, Flavius Frasincar, Maria Mihaela Trusca:
Diagnostic Classifiers for Explaining a Neural Model with Hierarchical Attention for Aspect-based Sentiment Classification. J. Web Eng. 22(1): 147-174 (2023) - [j63]Gianni Brauwers, Flavius Frasincar:
A General Survey on Attention Mechanisms in Deep Learning. IEEE Trans. Knowl. Data Eng. 35(4): 3279-3298 (2023) - [j62]Joris Knoester, Flavius Frasincar, Maria Mihaela Trusca:
Cross-domain aspect-based sentiment analysis using domain adversarial training. World Wide Web (WWW) 26(6): 4047-4067 (2023) - [c158]Romany Dekker, Danae Gielisse, Chaya Jaggan, Sander Meijers, Flavius Frasincar:
Knowledge Injection for Aspect-Based Sentiment Classification. DEXA (2) 2023: 173-187 - [c157]Vlad Miron, Flavius Frasincar, Maria Mihaela Trusca:
Explaining a Deep Learning Model for Aspect-Based Sentiment Classification Using Post-hoc Local Classifiers. NLDB 2023: 79-93 - [c156]Emily Fields, Gonem Lau, Robbert Rog, Alexander Sternfeld, Flavius Frasincar:
Document Knowledge Transfer for Aspect-Based Sentiment Classification Using a Left-Center-Right Separated Neural Network with Rotatory Attention. NLDB 2023: 489-499 - [c155]Junhee Lee, Flavius Frasincar, Maria Mihaela Trusca:
A Cross-Domain Aspect-Based Sentiment Classification by Masking the Domain-Specific Words. SAC 2023: 1595-1602 - [c154]Stan Hennekes, Flavius Frasincar:
Weighted Neural Collaborative Filtering: Deep Implicit Recommendation with Weighted Positive and Negative Feedback. SAC 2023: 1799-1808 - [c153]Tim de Jonge van Ellemeet, Flavius Frasincar, Sharon Gieske:
DAWSON: Data Augmentation using Weak Supervision On Natural Language. WI/IAT 2023: 95-102 - [i9]Jetze Schuurmans, Flavius Frasincar:
Global Hierarchical Neural Networks using Hierarchical Softmax. CoRR abs/2308.01210 (2023) - 2022
- [j61]Thomas Bos, Flavius Frasincar:
Automatically Building Financial Sentiment Lexicons While Accounting for Negation. Cogn. Comput. 14(1): 442-460 (2022) - [j60]Alvaro Jose Jimenez Palenzuela, Flavius Frasincar, Maria Mihaela Trusca:
Modeling Second Language Acquisition with pre-trained neural language models. Expert Syst. Appl. 207: 117871 (2022) - [j59]Davide Buscaldi, Mauro Dragoni, Flavius Frasincar, Diego Reforgiato Recupero:
Special issue on senti-mental health: Future generation sentiment analysis systems. Future Gener. Comput. Syst. 129: 170-173 (2022) - [j58]Guangyao Zhou, Jingyi Cheng, Flavius Frasincar:
A hybrid approach for aspect-based sentiment analysis using a double rotatory attention model. Int. J. Web Eng. Technol. 17(1): 3-28 (2022) - [j57]Jonathan van de Ruitenbeek, Flavius Frasincar, Gianni Brauwers:
A Memory-Driven Neural Attention Model for Aspect-Based Sentiment Classification. J. Web Eng. 21(6): 1793-1830 (2022) - [j56]Vladyslav Matsiiako, Flavius Frasincar, David Boekestijn:
Aspect-Based Sentiment Quantification. IEEE Trans. Affect. Comput. 13(4): 1718-1729 (2022) - [c152]Mounir M. Bendouch, Flavius Frasincar, Tarmo Robal:
Enhancing Semantics-Driven Recommender Systems with Visual Features. CAiSE 2022: 443-459 - [c151]Roos van Lookeren Campagne, David van Ommen, Mark Rademaker, Tom Teurlings, Flavius Frasincar:
DCWEB-SOBA: Deep Contextual Word Embeddings-Based Semi-automatic Ontology Building for Aspect-Based Sentiment Classification. ESWC 2022: 183-199 - [c150]Kunal Geed, Flavius Frasincar, Maria Mihaela Trusca:
Explaining a Deep Neural Model with Hierarchical Attention for Aspect-Based Sentiment Classification Using Diagnostic Classifiers. ICWE 2022: 268-282 - [c149]Laura Rekasiute, Alvaro Jose Jimenez Palenzuela, Nijole Salnaite, Ramon Carrera Cuenca, Flavius Frasincar:
Predicting the category of customers' next product to buy in web shops. SAC 2022: 1862-1871 - [c148]Joris Knoester, Flavius Frasincar, Maria Mihaela Trusca:
Domain Adversarial Training for Aspect-Based Sentiment Analysis. WISE 2022: 21-37 - [i8]Gianni Brauwers, Flavius Frasincar:
A General Survey on Attention Mechanisms in Deep Learning. CoRR abs/2203.14263 (2022) - [i7]Gianni Brauwers, Flavius Frasincar:
A Survey on Aspect-Based Sentiment Classification. CoRR abs/2203.14266 (2022) - 2021
- [j55]Dorenda Slof, Flavius Frasincar, Vladyslav Matsiiako:
A competing risks model based on latent Dirichlet Allocation for predicting churn reasons. Decis. Support Syst. 146: 113541 (2021) - [j54]Nick Valstar, Flavius Frasincar, Gianni Brauwers:
APFA: Automated product feature alignment for duplicate detection. Expert Syst. Appl. 174: 114759 (2021) - [j53]Alexander Hogenboom, Alex Brojba-Micu, Flavius Frasincar:
The impact of word sense disambiguation on stock price prediction. Expert Syst. Appl. 184: 115568 (2021) - [c147]Fenna ten Haaf, Christopher Claassen, Ruben Eschauzier, Joanne Tjan, Daniël Buijs, Flavius Frasincar, Kim Schouten:
WEB-SOBA: Word Embeddings-Based Semi-automatic Ontology Building for Aspect-Based Sentiment Classification. ESWC 2021: 340-355 - [c146]Lisa Meijer, Flavius Frasincar, Maria Mihaela Trusca:
Explaining a neural attention model for aspect-based sentiment classification using diagnostic classification. SAC 2021: 821-827 - [c145]Tomas Liesting, Flavius Frasincar, Maria Mihaela Trusca:
Data augmentation in a hybrid approach for aspect-based sentiment analysis. SAC 2021: 828-835 - [c144]Tatev Karen Aslanyan, Flavius Frasincar:
Utilizing textual reviews in latent factor models for recommender systems. SAC 2021: 1931-1940 - [c143]Mounir M. Bendouch, Flavius Frasincar, Tarmo Robal:
Addressing Scalability Issues in Semantics-Driven Recommender Systems. WI/IAT 2021: 56-63 - [c142]Stefan van Berkum, Sophia van Megen, Max Savelkoul, Pim Weterman, Flavius Frasincar:
Fine-Tuning for Cross-Domain Aspect-Based Sentiment Classification. WI/IAT 2021: 524-531 - [c141]Ron Hochstenbach, Flavius Frasincar, Maria Mihaela Trusca:
Adversarial Training for a Hybrid Approach to Aspect-Based Sentiment Analysis. WISE (2) 2021: 291-305 - [e7]Marco Brambilla, Richard Chbeir, Flavius Frasincar, Ioana Manolescu:
Web Engineering - 21st International Conference, ICWE 2021, Biarritz, France, May 18-21, 2021, Proceedings. Lecture Notes in Computer Science 12706, Springer 2021, ISBN 978-3-030-74295-9 [contents] - [i6]Tomas Liesting, Flavius Frasincar, Maria Mihaela Trusca:
Data Augmentation in a Hybrid Approach for Aspect-Based Sentiment Analysis. CoRR abs/2103.15912 (2021) - [i5]Lisa Meijer, Flavius Frasincar, Maria Mihaela Trusca:
Explaining a Neural Attention Model for Aspect-Based Sentiment Classification Using Diagnostic Classification. CoRR abs/2103.15927 (2021) - [i4]Tatev Karen Aslanyan, Flavius Frasincar:
Utilizing Textual Reviews in Latent Factor Models for Recommender Systems. CoRR abs/2111.08538 (2021) - [i3]Ron Hochstenbach, Flavius Frasincar, Maria Mihaela Trusca:
Adversarial Training for a Hybrid Approach to Aspect-Based Sentiment Analysis. CoRR abs/2111.14988 (2021) - 2020
- [j52]Jetze Schuurmans, Flavius Frasincar, Erik Cambria:
Intent Classification for Dialogue Utterances. IEEE Intell. Syst. 35(1): 82-88 (2020) - [j51]Sjoerd Borst, Flavius Frasincar, Vladyslav Matsiiako:
Predicting individual behaviour: an empirical approach in online marketing. Int. J. Web Eng. Technol. 15(3): 283-306 (2020) - [j50]Damir Vandic, Flavius Frasincar, Uzay Kaymak, Mark Riezebos:
Scalable entity resolution for Web product descriptions. Inf. Fusion 53: 103-111 (2020) - [j49]Donatas Meskele, Flavius Frasincar:
ALDONAr: A hybrid solution for sentence-level aspect-based sentiment analysis using a lexicalized domain ontology and a regularized neural attention model. Inf. Process. Manag. 57(3): 102211 (2020) - [j48]Krishna Vyas, Flavius Frasincar:
Determining the most representative image on a Web page. Inf. Sci. 512: 1234-1248 (2020) - [j47]Tomas Geurts, Stelios Giannikis, Flavius Frasincar:
Active learning strategies for solving the cold user problem in model-based recommender systems. Web Intell. 18(4): 269-283 (2020) - [j46]Lisa Zhuang, Kim Schouten, Flavius Frasincar:
SOBA: Semi-automated Ontology Builder for Aspect-based sentiment analysis. J. Web Semant. 60: 100544 (2020) - [c140]Lies Hooft van Huijsduijnen, Thom Hoogmoed, Geertje Keulers, Edmar Langendoen, Sanne Langendoen, Tim Vos, Frederik Hogenboom, Flavius Frasincar, Tarmo Robal:
Bing-CSF-IDF+: A Semantics-Driven Recommender System for News. ADBIS (Short Papers) 2020: 143-153 - [c139]Ewelina Dera, Flavius Frasincar, Kim Schouten, Lisa Zhuang:
SASOBUS: Semi-automatic Sentiment Domain Ontology Building Using Synsets. ESWC 2020: 105-120 - [c138]Maria Mihaela Trusca, Daan Wassenberg, Flavius Frasincar, Rommert Dekker:
A Hybrid Approach for Aspect-Based Sentiment Analysis Using Deep Contextual Word Embeddings and Hierarchical Attention. ICWE 2020: 365-380 - [c137]Gino V. H. Mangnoesing, Maria Mihaela Trusca, Flavius Frasincar:
Pattern Learning for Detecting Defect Reports and Improvement Requests in App Reviews. NLDB 2020: 126-134 - [c136]Sophie de Kok, Flavius Frasincar:
Using word embeddings for ontology-driven aspect-based sentiment analysis. SAC 2020: 834-842 - [c135]Bianca Mitroi, Flavius Frasincar:
An elastic net regularized matrix factorization technique for recommender systems. SAC 2020: 2184-2192 - [i2]Maria Mihaela Trusca, Daan Wassenberg, Flavius Frasincar, Rommert Dekker:
A Hybrid Approach for Aspect-Based Sentiment Analysis Using Deep Contextual Word Embeddings and Hierarchical Attention. CoRR abs/2004.08673 (2020) - [i1]Gino V. H. Mangnoesing, Maria Mihaela Trusca, Flavius Frasincar:
Pattern Learning for Detecting Defect Reports and Improvement Requests in App Reviews. CoRR abs/2004.08793 (2020)
2010 – 2019
- 2019
- [j45]Kim Schouten, Flavius Frasincar, Rommert Dekker, Mark Riezebos:
Heracles: A framework for developing and evaluating text mining algorithms. Expert Syst. Appl. 127: 68-84 (2019) - [j44]Wouter Rijvordt, Frederik Hogenboom, Flavius Frasincar:
Ontology-Driven News Classification with Aethalides. J. Web Eng. 18(7): 627-654 (2019) - [c134]Emma Brocken, Aron Hartveld, Emma de Koning, Thomas van Noort, Frederik Hogenboom, Flavius Frasincar, Tarmo Robal:
Bing-CF-IDF+: A Semantics-Driven News Recommender System. CAiSE 2019: 32-47 - [c133]Olaf Wallaart, Flavius Frasincar:
A Hybrid Approach for Aspect-Based Sentiment Analysis Using a Lexicalized Domain Ontology and Attentional Neural Models. ESWC 2019: 363-378 - [c132]Bart van Rossum, Flavius Frasincar:
Augmenting LOD-Based Recommender Systems Using Graph Centrality Measures. ICWE 2019: 19-31 - [c131]Frederique Baas, Olivier Bus, Alexander Osinga, Nikki van de Ven, Steffie van Loenhout, Lisanne Vrolijk, Kim Schouten, Flavius Frasincar:
Exploring lexico-semantic patterns for aspect-based sentiment analysis. SAC 2019: 984-992 - [c130]Donatas Meskele, Flavius Frasincar:
ALDONA: a hybrid solution for sentence-level aspect-based sentiment analysis using a lexicalised domain ontology and a neural attention model. SAC 2019: 2489-2496 - [e6]Maxim Bakaev, Flavius Frasincar, In-Young Ko:
Web Engineering - 19th International Conference, ICWE 2019, Daejeon, South Korea, June 11-14, 2019, Proceedings. Lecture Notes in Computer Science 11496, Springer 2019, ISBN 978-3-030-19273-0 [contents] - 2018
- [j43]Damir Vandic, Flavius Frasincar, Uzay Kaymak:
A Framework for Product Description Classification in E-commerce. J. Web Eng. 17(1&2): 1-27 (2018) - [j42]Philip Ruijgrok, Flavius Frasincar, Damir Vandic, Frederik Hogenboom:
OntoNavShop: An Ontology-Based Approach for Web-Shop Navigation. J. Web Eng. 17(3&4): 241-269 (2018) - [j41]Sophie de Kok, Linda Punt, Rosita van den Puttelaar, Karoliina Ranta, Kim Schouten, Flavius Frasincar:
Review-aggregated aspect-based sentiment analysis with ontology features. Prog. Artif. Intell. 7(4): 295-306 (2018) - [j40]Kim Schouten, Onne van der Weijde, Flavius Frasincar, Rommert Dekker:
Supervised and Unsupervised Aspect Category Detection for Sentiment Analysis with Co-occurrence Data. IEEE Trans. Cybern. 48(4): 1263-1275 (2018) - [c129]Emma de Koning, Frederik Hogenboom, Flavius Frasincar:
News Recommendation with CF-IDF+. CAiSE 2018: 170-184 - [c128]Aron Hartveld, Max van Keulen, Diederik Mathol, Thomas van Noort, Thomas Plaatsman, Flavius Frasincar, Kim Schouten:
An LSH-Based Model-Words-Driven Product Duplicate Detection Method. CAiSE 2018: 409-423 - [c127]Kim Schouten, Flavius Frasincar:
Ontology-Driven Sentiment Analysis of Product and Service Aspects. ESWC 2018: 608-623 - [c126]Damir Vandic, Steven S. Aanen, Flavius Frasincar, Uzay Kaymak:
Dynamic Facet Ordering for Faceted Product Search Engines (Extended Abstract). ICDE 2018: 1813-1814 - [c125]Gaby Budel, Lennart Hoogenboom, Wouter Kastrop, Nino Reniers, Flavius Frasincar:
Predicting User Flight Preferences in an Airline E-Shop. ICWE 2018: 245-260 - [c124]Sophie de Kok, Linda Punt, Rosita van den Puttelaar, Karoliina Ranta, Kim Schouten, Flavius Frasincar:
Review-level aspect-based sentiment analysis using an ontology. SAC 2018: 315-322 - 2017
- [j39]Didier Nibbering, Flavius Frasincar, Damir Vandic:
Analysing the effect of offline media on online conversion actions. Int. J. Web Eng. Technol. 12(2): 165-185 (2017) - [j38]Philipp Cimiano, Flavius Frasincar, Daniel Schwabe:
Editorial. J. Web Eng. 16(5&6): 361-362 (2017) - [j37]Damir Vandic, Steven S. Aanen, Flavius Frasincar, Uzay Kaymak:
Dynamic Facet Ordering for Faceted Product Search Engines. IEEE Trans. Knowl. Data Eng. 29(5): 1004-1016 (2017) - [c123]Kim Schouten, Flavius Frasincar, Franciska de Jong:
Ontology-Enhanced Aspect-Based Sentiment Analysis. ICWE 2017: 302-320 - [c122]Thomas Wever, Flavius Frasincar:
A linked open data schema-driven approach for Top-N recommendations. SAC 2017: 656-663 - [c121]Kim Schouten, Flavius Frasincar, Franciska de Jong:
COMMIT at SemEval-2017 Task 5: Ontology-based Method for Sentiment Analysis of Financial Headlines. SemEval@ACL 2017: 883-887 - [c120]Tomas Geurts, Flavius Frasincar:
Addressing the cold user problem for model-based recommender systems. WI 2017: 745-752 - [c119]Daan de Heij, Artiom Troyanovsky, Cynthia Yang, Milena Zychlinsky Scharff, Kim Schouten, Flavius Frasincar:
An Ontology-Enhanced Hybrid Approach to Aspect-Based Sentiment Analysis. WISE (2) 2017: 338-345 - [e5]Flavius Frasincar, Ashwin Ittoo, Le Minh Nguyen, Elisabeth Métais:
Natural Language Processing and Information Systems - 22nd International Conference on Applications of Natural Language to Information Systems, NLDB 2017, Liège, Belgium, June 21-23, 2017, Proceedings. Lecture Notes in Computer Science 10260, Springer 2017, ISBN 978-3-319-59568-9 [contents] - 2016
- [j36]Frederik Hogenboom, Flavius Frasincar, Uzay Kaymak, Franciska de Jong, Emiel Caron:
A Survey of event extraction methods from text for decision support systems. Decis. Support Syst. 85: 12-22 (2016) - [j35]Lennart J. Nederstigt, Damir Vandic, Flavius Frasincar:
A Lexical Approach for Taxonomy Mapping. J. Web Eng. 15(1&2): 84-109 (2016) - [j34]Kim Schouten, Flavius Frasincar:
Survey on Aspect-Level Sentiment Analysis. IEEE Trans. Knowl. Data Eng. 28(3): 813-830 (2016) - [c118]Nikoleta Dosoula, Roel Griep, Rick den Ridder, Rick Slangen, Ruud van Luijk, Kim Schouten, Flavius Frasincar:
Sentiment Analysis of Multiple Implicit Features per Sentence in Consumer Review Data. DB&IS (Selected Papers) 2016: 241-254 - [c117]Kim Schouten, Flavius Frasincar:
Using Linguistic Graph Similarity to Search for Sentences in News Articles. DB&IS (Selected Papers) 2016: 255-268 - [c116]Nikoleta Dosoula, Roel Griep, Rick den Ridder, Rick Slangen, Kim Schouten, Flavius Frasincar:
Detection of Multiple Implicit Features per Sentence in Consumer Review Data. DB&IS 2016: 289-303 - [c115]Kim Schouten, Flavius Frasincar:
Web News Sentence Searching Using Linguistic Graph Similarity. DB&IS 2016: 319-333 - [c114]Rowan Hoogervorst, Erik Essink, Wouter Jansen, Max van den Helder, Kim Schouten, Flavius Frasincar, Maite Taboada:
Aspect-Based Sentiment Analysis on the Web Using Rhetorical Structure Theory. ICWE 2016: 317-334 - [c113]Kim Schouten, Flavius Frasincar, Rommert Dekker:
An Information Gain-Driven Feature Study for Aspect-Based Sentiment Analysis. NLDB 2016: 48-59 - [c112]Iris van Dam, Gerhard van Ginkel, Wim Kuipers, Nikki Nijenhuis, Damir Vandic, Flavius Frasincar:
Duplicate detection in web shops using LSH to reduce the number of computations. SAC 2016: 772-779 - [c111]Kim Schouten, Flavius Frasincar:
COMMIT at SemEval-2016 Task 5: Sentiment Analysis with Rhetorical Structure Theory. SemEval@NAACL-HLT 2016: 356-360 - [c110]Kim Schouten, Frederique Baas, Olivier Bus, Alexander Osinga, Nikki van de Ven, Steffie van Loenhout, Lisanne Vrolijk, Flavius Frasincar:
Aspect-Based Sentiment Analysis Using Lexico-Semantic Patterns. WISE (2) 2016: 35-42 - [c109]Gijs van Rooij, Ravi Sewnarain, Martin Skogholt, Tim van der Zaan, Flavius Frasincar, Kim Schouten:
A Data Type-Driven Property Alignment Framework for Product Duplicate Detection on the Web. WISE (1) 2016: 380-395 - 2015
- [j33]Alexander Hogenboom, Flavius Frasincar, Franciska de Jong, Uzay Kaymak:
Using rhetorical structure in sentiment analysis. Commun. ACM 58(7): 69-77 (2015) - [j32]Alexander Hogenboom, Flavius Frasincar, Franciska de Jong, Uzay Kaymak:
Polarity classification using structure-based vector representations of text. Decis. Support Syst. 74: 46-56 (2015) - [j31]Steven S. Aanen, Damir Vandic, Flavius Frasincar:
Automated product taxonomy mapping in an e-commerce environment. Expert Syst. Appl. 42(3): 1298-1313 (2015) - [j30]Frederik Hogenboom, Michael de Winter, Flavius Frasincar, Uzay Kaymak:
A news event-driven approach for the historical value at risk method. Expert Syst. Appl. 42(10): 4667-4675 (2015) - [j29]Alexander Hogenboom, Daniella Bal, Flavius Frasincar, Malissa Bal, Franciska de Jong, Uzay Kaymak:
Exploiting Emoticons in Polarity Classification of Text. J. Web Eng. 14(1&2): 22-40 (2015) - [c108]Kim Schouten, Flavius Frasincar:
The Benefit of Concept-Based Features for Sentiment Analysis. SemWebEval@ESWC 2015: 223-233 - [c107]Alexander Hogenboom, Ewout Niewenhuijse, Milan Jansen, Flavius Frasincar, Damir Vandic:
RDF chain query optimization in a distributed environment. SAC 2015: 353-359 - [c106]Michel Capelle, Marnix Moerland, Frederik Hogenboom, Flavius Frasincar, Damir Vandic:
Bing-SF-IDF+: a hybrid semantics-driven news recommender. SAC 2015: 732-739 - [c105]Ronald van Bezu, Sjoerd Borst, Rick Rijkse, Jim Verhagen, Damir Vandic, Flavius Frasincar:
Multi-component similarity method for web product duplicate detection. SAC 2015: 761-768 - [c104]