João Bártolo Gomes

Publication Activity (10 Years)

Years Active: 2010-2017
Publications (10 Years): 5

Top Topics

Ubiquitous Environments

Partial Discharge

Top Venues

Expert Syst. Appl.

Publications

Mark Tennant, Frederic T. Stahl, Omer F. Rana, João Bártolo Gomes
Scalable real-time classification of data streams with concept drift. Future Gener. Comput. Syst. 75 (2017)
Thien Le, Frederic T. Stahl, Mohamed Medhat Gaber, João Bártolo Gomes, Giuseppe Di Fatta
On expressiveness and uncertainty awareness in rule-based classification for data streams. Neurocomputing 265 (2017)
João Bártolo Gomes, Hai-Long Nguyen, Min Wu, Jianneng Cao, Shonali Krishnaswamy
Active Learning for On-Line Partial Discharge Monitoring in Noisy Environments. MDM (Workshops) (2016)
Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Carlos J. Martín-Dancausa, Frederic T. Stahl, João Bártolo Gomes
A rule dynamics approach to event detection in Twitter with its application to sports and politics. Expert Syst. Appl. 55 (2016)
Miguel Ángel Abad, João Bártolo Gomes, Ernestina Menasalvas
Predicting recurring concepts on data-streams by means of a meta-model and a fuzzy similarity function. Expert Syst. Appl. 46 (2016)
Prem Prakash Jayaraman, João Bártolo Gomes, Hai-Long Nguyen, Zahraa Said Abdallah, Shonali Krishnaswamy, Arkady B. Zaslavsky
Scalable Energy-Efficient Distributed Data Analytics for Crowdsensing Applications in Mobile Environments. IEEE Trans. Comput. Soc. Syst. 2 (3) (2015)
Hai-Long Nguyen, João Bártolo Gomes, Min Wu, Hong Cao, Jianneng Cao, Shonali Krishnaswamy
Active learning for accurate analysis of streaming partial discharge data. ICPHM (2015)
Manoranjan Dash, Kee Kiat Koo, João Bártolo Gomes, Shonali Priyadarsini Krishnaswamy, Daniel Rugeles, Amy Shi Nash
Next place prediction by understanding mobility patterns. PerCom Workshops (2015)
Mark Tennant, Frederic T. Stahl, João Bártolo Gomes
Fast Adaptive Real-Time Classification for Data Streams with Concept Drift. IDCS (2015)
Manoranjan Dash, Kee Kiat Koo, James Decraene, Ghim-Eng Yap, Wei Wu, João Bártolo Gomes, Amy Shi Nash, Xiaoli Li
CDR-To-MoVis: Developing a Mobility Visualization System from CDR data. ICDE (2015)
Prem Prakash Jayaraman, João Bártolo Gomes, Hai-Long Nguyen, Zahraa Said Abdallah, Shonali Krishnaswamy, Arkady B. Zaslavsky
CARDAP: A Scalable Energy-Efficient Context Aware Distributed Mobile Data Analytics Platform for the Fog. ADBIS (2014)
Miguel Ángel Abad, João Bártolo Gomes, Ernestina Menasalvas Ruiz
Recurring concept detection for spam filtering. FUSION (2014)
João Bártolo Gomes, Mohamed Medhat Gaber, Pedro A. C. Sousa, Ernestina Menasalvas Ruiz
Mining Recurring Concepts in a Dynamic Feature Space. IEEE Trans. Neural Networks Learn. Syst. 25 (1) (2014)
Wei Wu, Yue Wang, João Bártolo Gomes, Dang The Anh, Spiros Antonatos, Mingqiang Xue, Peng Yang, Ghim-Eng Yap, Xiaoli Li, Shonali Krishnaswamy, James Decraene, Amy Shi Nash
Oscillation Resolution for Mobile Phone Cellular Tower Data to Enable Mobility Modelling. MDM (1) (2014)
Mohamed Medhat Gaber, João Gama, Shonali Krishnaswamy, João Bártolo Gomes, Frederic T. Stahl
Data stream mining in ubiquitous environments: state-of-the-art and current directions. WIREs Data Mining Knowl. Discov. 4 (2) (2014)
Thien Le, Frederic T. Stahl, João Bártolo Gomes, Mohamed Medhat Gaber, Giuseppe Di Fatta
Computationally Efficient Rule-Based Classification for Continuous Streaming Data. SGAI Conf. (2014)
Mark Tennant, Frederic T. Stahl, Giuseppe Di Fatta, João Bártolo Gomes
Towards a Parallel Computationally Efficient Approach to Scaling Up Data Stream Classification. SGAI Conf. (2014)
João Bártolo Gomes, Mariam Adedoyin-Olowe, Mohamed Medhat Gaber, Frederic T. Stahl
Rule Type Identification Using TRCM for Trend Analysis in Twitter. SGAI Conf. (2013)
João Bártolo Gomes, Mohamed Medhat Gaber, Pedro A. C. Sousa, Ernestina Menasalvas Ruiz
Collaborative Data Stream Mining in Ubiquitous Environments using Dynamic Classifier Selection. Int. J. Inf. Technol. Decis. Mak. 12 (6) (2013)
João Bártolo Gomes, Clifton Phua, Shonali Krishnaswamy
Where Will You Go? Mobile Data Mining for Next Place Prediction. DaWaK (2013)
João Bártolo Gomes, Shonali Krishnaswamy, Mohamed Medhat Gaber, Pedro A. C. Sousa, Ernestina Menasalvas Ruiz
Mobile Activity Recognition Using Ubiquitous Data Stream Mining. DaWaK (2012)
Artur Andrzejak, João Bártolo Gomes
Parallel Concept Drift Detection with Online Map-Reduce. ICDM Workshops (2012)
João Bártolo Gomes, Shonali Krishnaswamy, Mohamed Medhat Gaber, Pedro A. C. Sousa, Ernestina Menasalvas Ruiz
MARS: A Personalised Mobile Activity Recognition System. MDM (2012)
Clifton Phua, Hong Cao, João Bártolo Gomes, Minh Nhut Nguyen
Predicting Near-Future Churners and Win-Backs in the Telecommunications Industry CoRR (2012)
João Bártolo Gomes, Pedro A. C. Sousa, Ernestina Menasalvas Ruiz
Tracking recurrent concepts using context. Intell. Data Anal. 16 (5) (2012)
João Bártolo Gomes, Ernestina Menasalvas Ruiz, Pedro A. C. Sousa
Learning recurring concepts from data streams with a context-aware ensemble. SAC (2011)
João Bártolo Gomes, Mohamed Medhat Gaber, Pedro A. C. Sousa, Ernestina Menasalvas Ruiz
Context-Aware Collaborative Data Stream Mining in Ubiquitous Devices. IDA (2011)
João Bártolo Gomes, Ernestina Menasalvas Ruiz, Pedro A. C. Sousa
Improving the Learning of Recurring Concepts through High-Level Fuzzy Contexts. RSKT (2010)
João Bártolo Gomes, Ernestina Menasalvas Ruiz, Pedro A. C. Sousa
Situation-Aware Data Stream Mining Service for Ubiquitous Applications. Mobile Data Management (2010)
João Bártolo Gomes, Ernestina Menasalvas Ruiz, Pedro A. C. Sousa
Tracking Recurrent Concepts Using Context. RSCTC (2010)
João Bártolo Gomes, Ernestina Menasalvas, Pedro A. C. Sousa
CALDS: context-aware learning from data streams. StreamKDD@KDD (2010)