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2020 – today
- 2024
[j15]Svetlana Popova, Mikhail Alexandrov, John Cardiff:
Stop-Word Lists in Keyphrase Extraction: Their Influence and Comparison. Computación y Sistemas (CyS) 28(3) (2024)- [j14]Svetlana Popova, Vera Danilova, Mikhail Alexandrov, John Cardiff:
Unsupervised Keyphrase Extraction: Ranking Step and Single-Word Phrase Problem. Computación y Sistemas (CyS) 28(3) (2024) - 2023
- [c39]Elena Shushkevich, John Cardiff:
TUDublin at CheckThat!-2023: ChatGPT for Data Augmentation. CLEF (Working Notes) 2023: 473-481 - [c38]Elena Shushkevich, John Cardiff, Anna Boldyreva:
Detection of Truthful, Semi-Truthful, False and Other News with Arbitrary Topics Using BERT-Based Models. FRUCT 2023: 250-256 - 2022
- [j13]María Beatríz Bernábe Loranca, José E. Espinosa Rosales, Mirna Huerta Orea, John Cardiff:
A statistical evaluation of the oral vaccine S3pvac papaya against cysticercosis of taenia psiformis. J. Intell. Fuzzy Syst. 42(5): 4369-4378 (2022) - [c37]Pavel Mogilev, Dinislam Kusegenov, Mikhail Alexandrov, John Cardiff, Olexiy Koshulko:
Modeling dynamics of cryptocurrency XRP using tweets, news, and GMDH-based algorithms. CSIT 2022: 559-563 - [c36]Elena Shushkevich, Mikhail Alexandrov, John Cardiff:
BERT-based Classifiers for Fake News Detection on Short and Long Texts with Noisy Data: A Comparative Analysis. TSD 2022: 263-274 - 2021
- [j12]Elena Shushkevich, Mikhail Alexandrov, John Cardiff:
Covid-19 Fake News Detection: A Survey. Computación y Sistemas 25(4) (2021) - [c35]Elena Shushkevich, Mikhail Alexandrov, John Cardiff:
Detecting fake news about Covid-19 using classifiers from Scikit-learn. CSIT (1) 2021: 406-409 - [c34]Elena Shushkevich, John Cardiff:
Detecting Fake News About Covid-19 on Small Datasets with Machine Learning Algorithms. FRUCT 2021: 253-258 - [i3]Elena Shushkevich, John Cardiff:
TUDublin team at Constraint@AAAI2021 - COVID19 Fake News Detection. CoRR abs/2101.05701 (2021) - 2020
- [j11]Liliya Akhtyamova
, Paloma Martínez, Karin Verspoor, John Cardiff:
Testing Contextualized Word Embeddings to Improve NER in Spanish Clinical Case Narratives. IEEE Access 8: 164717-164726 (2020) - [j10]Elena Shushkevich, John Cardiff, Paolo Rosso, Liliya Akhtyamova:
Offensive Language Recognition in Social Media. Computación y Sistemas 24(2) (2020) - [j9]Paulo Silva, Fernando Pérez-Téllez, John Cardiff:
An Univariable Approach for Forecasting Workload in the Maintenance Industry. Computación y Sistemas 24(2) (2020) - [c33]Pavel Mogilev, Anna Boldyreva, Mikhail Alexandrov, John Cardiff:
GMDH-based Models for Mid-term Forecast of Cryptocurrencies (on example of Waves). CSIT (2) 2020: 13-16 - [c32]Liliya Akhtyamova, John Cardiff:
LM-Based Word Embeddings Improve Biomedical Named Entity Recognition: A Detailed Analysis. IWBBIO 2020: 624-635
2010 – 2019
- 2019
- [j8]Elena Shushkevich, John Cardiff:
Automatic Misogyny Detection in Social Media: A Survey. Computación y Sistemas 23(4) (2019) - [c31]Svetoslav Zverev, Mikhail Alexandrov, Angels Catena, John Cardiff, Elena Shushkevich, Dmitry Stefanovskiy:
Classification of Schoolchildren on Professional Trajectories using Experience of Successful Specialists. CSIT (1) 2019: 215-219 - [c30]Svetlana Popova, Vera Danilova, Mikhail Alexandrov, John Cardiff:
Improving Keyphrase Extraction Using LL-Ranking. CSIT 2019: 567-578 - [c29]Elena Shushkevich, John Cardiff, Paolo Rosso:
TUVD team at SemEval-2019 Task 6: Offense Target Identification. SemEval@NAACL-HLT 2019: 770-774 - 2018
- [c28]Gabriella Skitalinskaya, John Cardiff:
Multilabel Text Classification of Unbalanced Datasets: Two-Pass NNMF. CICLing (2) 2018: 275-286 - [c27]Mikhail Alexandrov, Gabriella Skitalinskaya, John Cardiff, Olexiy Koshulko, Elena Shushkevich:
Classifiers for Yelp-Reviews Based on GMDH-Algorithms. CICLing (2) 2018: 412-430 - [c26]Liliya Akhtyamova, Mikhail Alexandrov, John Cardiff, Olexiy Koshulko:
Building Classifiers with GMDH for Health Social Networks (DB AskaPatient). CSIT (1) 2018: 45-49 - [c25]Liliya Akhtyamova, Mikhail Alexandrov, John Cardiff, Oleksiy Koshulko:
Opinion Mining on Small and Noisy Samples of Health-Related Texts. CSIT 2018: 379-390 - [c24]Elena Shushkevich, John Cardiff:
Misogyny Detection and Classification in English Tweets: The Experience of the ITT Team. EVALITA@CLiC-it 2018 - [c23]Elena Shushkevich, John Cardiff:
Classifying Misogynistic Tweets Using a Blended Model: The AMI Shared Task in IBEREVAL 2018. IberEval@SEPLN 2018: 255-259 - [i2]Liliya Akhtyamova, John Cardiff:
Extracting Drug-Drug Interactions with Character-Level and Dependency-Based Embeddings. TAC 2018 - 2017
- [c22]Liliya Akhtyamova, John Cardiff, Andrey Ignatov:
Twitter Author Profiling Using Word Embeddings and Logistic Regression. CLEF (Working Notes) 2017 - [c21]Liliya Akhtyamova, Mikhail Alexandrov, John Cardiff:
Review of trends in health social media analysis. CSIT (1) 2017: 413-416 - [c20]Liliya Akhtyamova, Mikhail Alexandrov, John Cardiff:
Adverse Drug Extraction in Twitter Data Using Convolutional Neural Network. DEXA Workshops 2017: 88-92 - [c19]Gabriella Skitalinskaya, Liliya Akhtyamova, John Cardiff:
Cross-genre Gender Identification in Russian Texts Using Topic Modeling Working Note: Team DUBL. FIRE (Working Notes) 2017: 17-19 - [c18]Gabriella Skitalinskaya, Mikhail Alexandrov, John Cardiff:
Comparison of Two-Pass Algorithms for Dynamic Topic Modeling Based on Matrix Decompositions. MICAI (2) 2017: 27-43 - [c17]Liliya Akhtyamova, Andrey Ignatov, John Cardiff:
A Large-Scale CNN Ensemble for Medication Safety Analysis. NLDB 2017: 247-253 - [i1]Liliya Akhtyamova, Andrey Ignatov, John Cardiff:
A Large-Scale CNN Ensemble for Medication Safety Analysis. CoRR abs/1706.05549 (2017) - 2016
- [j7]Fernando Pérez-Téllez, John Cardiff, Paolo Rosso, David Pinto:
Prototype/topic based clustering method for weblogs. Intell. Data Anal. 20(1): 47-65 (2016) - 2015
- [j6]Alexandra Roshchina, John Cardiff, Paolo Rosso:
TWIN: Personality-based Intelligent Recommender System. J. Intell. Fuzzy Syst. 28(5): 2059-2071 (2015) - 2014
- [j5]Fernando Pérez-Téllez, John Cardiff, Paolo Rosso, David Pinto:
Weblog and short text feature extraction and impact on categorisation. J. Intell. Fuzzy Syst. 27(5): 2529-2544 (2014) - 2013
- [j4]Polina Panicheva, John Cardiff, Paolo Rosso:
Identifying subjective statements in news titles using a personal sense annotation framework. J. Assoc. Inf. Sci. Technol. 64(7): 1411-1422 (2013) - 2012
- [c16]Alexandra Roshchina, John Cardiff, Paolo Rosso:
Evaluating the Similarity Estimator component of the TWIN Personality-based Recommender System. LREC 2012: 4098-4102 - 2011
- [c15]Alexandra Roshchina, John Cardiff, Paolo Rosso:
A comparative evaluation of personality estimation algorithms for the twin recommender system. SMUC 2011: 11-18 - [c14]Fernando Pérez-Téllez, David Pinto, John Cardiff, Paolo Rosso:
On the Difficulty of Clustering Microblog Texts for Online Reputation Management. WASSA@ACL 2011: 146-152 - 2010
- [c13]Fernando Pérez-Téllez, David Pinto, John Cardiff, Paolo Rosso:
On the difficulty of clustering company tweets. SMUC@CIKM 2010: 95-102 - [c12]Polina Panicheva, John Cardiff, Paolo Rosso:
Personal Sense and Idiolect: Combining Authorship Attribution and Opinion Analysis. LREC 2010 - [c11]Fernando Pérez-Téllez, David Pinto, John Cardiff, Paolo Rosso:
Clustering Weblogs on the Basis of a Topic Detection Method. MCPR 2010: 342-351 - [c10]Polina Panicheva, John Cardiff, Paolo Rosso:
Identifying Writers' Background by Comparing Personal Sense Thesauri. NLDB 2010: 288-295
2000 – 2009
- 2009
- [c9]Fernando Pérez-Téllez, David Pinto, John Cardiff, Paolo Rosso:
A Methodology to Cluster Informal Language Register Data. IICAI 2009: 1391-1401 - [c8]Fernando Pérez-Téllez, David Pinto, John Cardiff, Paolo Rosso:
Characterizing Weblog Corpora. NLDB 2009: 299-300 - [c7]Fernando Pérez-Téllez, David Pinto, John Cardiff, Paolo Rosso:
Improving the Clustering of Blogosphere with a Self-term Enriching Technique. TSD 2009: 40-47 - 2006
- [j3]Aaron Hand, John Cardiff, Patricia Magee, Jimmy Doody:
An architecture and development methodology for location-based services. Electron. Commer. Res. Appl. 5(3): 201-208 (2006) - 2000
- [c6]John Cardiff, Tiziana Catarci, M. Passeri, Giuseppe Santucci:
Querying Multiple Databases Dynamically on the World Wide Web. WISE 2000: 238-245
1990 – 1999
- 1997
- [j2]John Cardiff, Tiziana Catarci, Giuseppe Santucci:
Semantic Query Processing in the Venus Environment. Int. J. Cooperative Inf. Syst. 6(2): 151-192 (1997) - [j1]Tiziana Catarci, Giuseppe Santucci, John Cardiff:
Graphical Interaction with Heterogeneous Databases. VLDB J. 6(2): 97-120 (1997) - [c5]John Cardiff, Tiziana Catarci, Giuseppe Santucci:
Exploitation of Interschema Knowledge in a Multidatabase System. KRDB 1997: 2.1-2.8 - 1996
- [c4]Mark Roantree, Pierce Hickey, Alan Crilly, John Cardiff:
Metadata Modelling for Healthcare Applications in a Federated Database System. TreDS 1996: 71-83 - 1995
- [c3]John Cardiff, Tiziana Catarci, Giuseppe Santucci:
Distributed Semantic Query Processing in a Cooperative Information System. CoopIS 1995: 170-179 - [c2]Tiziana Catarci, Giuseppe Santucci, John Cardiff:
Knowledge-based Schema Integration In a Heterogeneous Environment. NGITS 1995 - 1994
- [c1]John Cardiff:
Semantic Query Optimization in Heterogeneous DBMS. HICSS (2) 1994: 273-282 - 1990
- [b1]John Cardiff:
On the design of an extensible semantic query optimization system. University of Queensland, Australia, 1990
Coauthor Index
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last updated on 2024-10-15 21:36 CEST by the dblp team
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