Alan Braz
IBM
15 Papers
103 Citations
Alan Braz is an academic researcher from IBM. The author has contributed to research in topics: Computer science & Agile software development. The author has an hindex of 5, co-authored 14 publications. Previous affiliations of Alan Braz include Airbnb.
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Papers
Patent
Creating coordinated multi-chatbots using natural dialogues by means of knowledge base
Maíra Gatti de Bayser,Alan Braz,Paulo R. Cavalin,Flavio Vinicius Diniz de Figueiredo,Renan Souza +4 more
- 22 Jul 2016
TL;DR: In this article, a system for coordinating multiple chatbots in a group conversation using natural dialog systems is presented, including a creation unit that enables a user to create a group chat with chatbots, a response unit that allows the user to reply to any utterance extracted from a message received from a member of the group chat, a transmission unit that sends messages to every member of a group group chat; a development unit that develops chatbots that understand natural language and interact in a chat group chat using natural dialogue; a network connection; a first database that stores a knowledge base extracted
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IBM Design Thinking Software Development Framework.
Percival Lucena,Alan Braz,Adilson Chicoria,Leonardo P. Tizzei +3 more
- 07 Nov 2016
TL;DR: This work proposes a different approach focused on satisfying end user needs employing Design Thinking iterative software development, which was applied in five real software development projects which have been analyzed as part of this work.
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•Posted Content
A Hybrid Architecture for Multi-Party Conversational Systems
Maíra Gatti de Bayser,Paulo R. Cavalin,Renan Souza,Alan Braz,Heloisa Candello,Claudio S. Pinhanez,Jean-Pierre Briot +6 more
TL;DR: The challenges of designing and building multi-party conversational systems, the state of the art, the proposed hybrid architecture using both rules and machine learning and some insights after implementing and evaluating one on the finance domain are presented.
AIMMX: Artificial Intelligence Model Metadata Extractor
Jason Tsay,Alan Braz,Martin Hirzel,Avraham Shinnar,Todd W. Mummert +4 more
- 29 Jun 2020
TL;DR: An exploratory analysis for data and method reproducibility over the models in the evaluation dataset and a catalog tool for discovering and managing models that enables simplified AI Model Metadata eXtraction from software repositories are presented.
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Evaluation of artificial intelligence systems for assisting neurologists with fast and accurate annotations of scalp electroencephalography data.
Subhrajit Roy,Isabell Kiral,Mahtab Mirmomeni,Todd W. Mummert,Alan Braz,Jason Tsay,Jianbin Tang,Umar Asif,Thomas Schaffter,Mehmet Eren Ahsen,Toshiya Iwamori,Hiroki Yanagisawa,Hasan Poonawala,Piyush Madan,Yong Qin,Joseph Picone,Iyad Obeid,Bruno De Assis Marques,Stefan Maetschke,Rania Khalaf,Michal Rosen-Zvi,Gustavo Stolovitzky,Stefan Harrer +22 more
TL;DR: Harrer et al. as discussed by the authors presented a seizure detection system that is sensitive, automated, patient-specific, and tunable to maximise sensitivity while minimizing human annotation times using custom data preparation methods, deep learning analytics and EEG data.
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