Hisashi Shimodaira

22 papers A 1B 8C 3Misc 1Journal 5Unranked 4
YearRankTypeTitle / Venue / Authors
2024 J jnl
Improving Prediction Accuracy of Semantic Segmentation Methods Using Convolutional Autoencoder Based Pre-processing Layers.
Adv. Artif. Intell. Mach. Learn.
Hisashi Shimodaira
2024 J jnl
Improving Prediction Accuracy of Semantic Segmentation Methods Using Convolutional Autoencoder Based Pre-processing Layers.
CoRR
Hisashi Shimodaira
2019 J jnl
Extended probabilistic Rand index and the adjustable moving window-based pixel-pair sampling method.
CoRR
Hisashi Shimodaira
2017 J jnl
Automatic Color Image Segmentation Using a Square Elemental Region-Based Seeded Region Growing and Merging Method.
CoRR
Hisashi Shimodaira
2013 B conf
Patch-based bilateral filter: Algorithms and performance.
ICIP
Hisashi Shimodaira
2006 J jnl
A Shape-from-Shading Method of Polyhedral Objects Using Prior Information.
IEEE Trans. Pattern Anal. Mach. Intell.
Hisashi Shimodaira
2003 — conf
Optimal design of generalized lapped orthogonal transforms: multiobjective optimization techniques and experimental results.
ISMSE
Hisashi Shimodaira
2001 B conf
A diversity-control-oriented genetic algorithm (DCGA): performance in function optimization.
CEC
Hisashi Shimodaira
2000 A conf
A Diversity Control Oriented Genetic Algorithm (DCGA): Performance in Function Optimization.
GECCO
Hisashi Shimodaira
2000 Misc conf
Optimization of Image Processing by Genetic and Evolutionary Computation: How to Realize Still Better Performance.
MVA
Hisashi Shimodaira
2000 — conf
Strategies for Optimizing Image Processing by Genetic and Evolutionary Computation.
ISMSE
Hisashi Shimodaira
2000 B conf
Strategies for optimizing image processing by genetic and evolutionary computation.
ICTAI
Hisashi Shimodaira
1997 B conf
DCGA: A Diversity Control Oriented Genetic Algorithm.
ICTAI
Hisashi Shimodaira
1996 C conf
A Method for Selecting Learning Data in the Prediction of Time Series with Explanatory Variables Using Neural Networks.
IEA/AIE
Hisashi Shimodaira
1996 B conf
A New Genetic Algorithm Using Large Mutation Rates and Population-Elitist Selection (GALME).
ICTAI
Hisashi Shimodaira
1995 C conf
A Method of Selecting Similar Learning Data Based on Correlation Coefficients in the Prediction of Time Series Using Neural Networks.
IEA/AIE
Hisashi Shimodaira
1995 C conf
A Simple and Efficient Method for Diagnosing Equipment Faults Based on Quantitative Physical Knowledge.
IEA/AIE
Hisashi Shimodaira
1995 — conf
A method of selecting learning data in the prediction of time series with explanatory variables using neural networks.
ICNN
Hisashi Shimodaira
1995 — conf
A method of selecting similar learning data in the prediction of time series using neural networks.
ICNN
Hisashi Shimodaira
1995 B conf
A method of selecting similar learning data in the prediction of time series using neural networks.
ICTAI
Hisashi Shimodaira
1994 B conf
A Weight Value Initialization Method for Improving Learning Performance of the Back Propagation Algorithm in Neural Networks.
ICTAI
Hisashi Shimodaira
1993 B conf
A Simple and Efficient Method for Diagnosing Equipment Faults Using Equations Representing the Steady State.
ICTAI
Hisashi Shimodaira