Gonsalves Tad

Name	Gonsalves Tad
URL	https://www.gonken.tokyo
Affiliation	Sophia University
Section	Faculty of Science and Technology, Department of Information and Communication Sciences
Job title	Professor
Degree	博士（工学）(上智大学)
Research funding number	90407338
J-Global ID	201301073146868965

Research Areas

Informatics / Intelligent robotics /

Papers

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Comparing U-Net Based Models for Denoising Color Images

Rina Komatsu Tad Gonsalves

AI 1(4) 465-486 Oct 2020 [Refereed]

Parking space identification for self-parking

Rikuka Takehara Tad Gonsalves

SDPS2019 Jul 2019 [Refereed]

Conditional DCGAN’s Challenge: Generating Digits, Alphabets and Katakana Handwritten Characters

Rina Komatsu Tad Gonsalves

Jun 2019 [Refereed]

Deep Learning techniques for training a self-driving vehicle, 2019 International Conference for Leading and Young Computer Scientists

Tad Gonsalves

IC-LYCS 2019 Feb 2019 [Invited]

In-vehicle camera images prediction by Generative Adversarial Network

Junta Watanabe Tad Gonsalves

Proc. 6th International Conference on Computer Science & Information Technology (CoSIT2019) 45-55 Feb 2019 [Refereed]

Misc.

Knowledge-based Perspective Allocation for Performance Design and Improvement of Collaborative Engineering Systems

GONSALVES Tad ITOH Kiyoshi KAWABATA Ryo

Technical report of IEICE. KBSE 103(604) 1-6 Dec 2004

In this paper we propose a composite-server model and make use of the knowledge of the intrinsic composition of its service providing units (personnel or equipment) to derive Qualitative knowledge-based rules for its performance evaluation. The co...

Performance Improvement of Collaboration Engineering Systems by the application of Qualitative Resoning

GONSALVES Tad ITOH Kiyoshi KAWABATA Ryo

IEICE technical report. Artificial intelligence and knowledge-based processing 103(306) 15-20 Sep 2003

This paper discusses the design and implementation of a novel system performance improvement Expert System (ES) with a Qualitative inference engine. The motive for using Qualitative Reasoning is to overcome the computational complexity posed by th...