João Bártolo Gomes

32 papers A* 1B 5C 2Misc 1Journal 10Unranked 12

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