| 2025 | CEC | Extreme Learning Machine with Learnable Activation Functions for Machine Control. | Victor Parque, Alaa Khalifa |
| 2024 | CoDIT | A Soft e-Textile Sensor for Enhanced Deep Learning-based Shape Sensing of Soft Continuum Robots. | Eric Vincent Galeta, Ayman A. Nada, Sabah M. Ahmed, Victor Parque, Haitham El-Hussieny |
| 2023 | ICONIP | On Searching for Minimal Integer Representation of Undirected Graphs. | Victor Parque, Tomoyuki Miyashita |
| 2023 | RO-MAN | Recognizing Social Touch Gestures using Optimized Class-weighted CNN-LSTM Networks. | Daison Darlan, Oladayo S. Ajani, Victor Parque, Rammohan Mallipeddi |
| 2022 | CEC | Towards Hexapod Gait Adaptation using Enumerative Encoding of Gaits: Gradient-Free Heuristics. | Victor Parque |
| 2022 | CEC | Learning Obstacle-Avoiding Lattice Paths using Swarm Heuristics: Exploring the Bijection to Ordered Trees. | Victor Parque |
| 2022 | ICONIP | Optimal Design of Cable-Driven Parallel Robots by Particle Schemes. | Victor Parque, Tomoyuki Miyashita |
| 2022 | IJCNN | A Study on Broadcast Networks for Music Genre Classification. | Ahmed Heakl, Abdelrahman Abdelgawad, Victor Parque |
| 2021 | CEC | A Differential Particle Scheme with Successful Parent Selection and its Application to PID Control Tuning. | Victor Parque |
| 2021 | CEC | Tackling the Subset Sum Problem with Fixed Size using an Integer Representation Scheme. | Victor Parque |
| 2021 | COMPSAC | Learning Motion Planning Functions using a Linear Transition in the C-space: Networks and Kernels. | Victor Parque |
| 2021 | GECCO | Towards higher order fairness functionals for smooth path planning. | Victor Parque |
| 2021 | GECCO | Generating combinations on the GPU and its application to the k-subset sum. | Victor Parque |
| 2021 | GECCO | A differential particle scheme and its application to PID parameter tuning of an inverted pendulum. | Victor Parque |
| 2020 | COMPSAC | Towards Fast Data-Driven Smooth Path Planning with Fair Curves. | Victor Parque, Tomoyuki Miyashita |
| 2020 | COMPSAC | Estimation of Grasp States in Prosthetic Hands using Deep Learning. | Victor Parque, Tomoyuki Miyashita |
| 2018 | COMPSAC | On Graph Representation with Smallest Numerical Encoding. | Victor Parque, Tomoyuki Miyashita |
| 2018 | COMPSAC | Numerical Representation of Modular Graphs. | Victor Parque, Tomoyuki Miyashita |
| 2018 | COMPSAC | On Learning Fuel Consumption Prediction in Vehicle Clusters. | Victor Parque, Tomoyuki Miyashita |
| 2018 | GECCO | On vehicle surrogate learning with genetic programming ensembles. | Victor Parque, Tomoyuki Miyashita |
| 2018 | GECCO | Towards bundling minimal trees in polygonal maps. | Victor Parque, Tomoyuki Miyashita |
| 2018 | ICCS | On Parametric Excitation for Exploration of Lava Tubes and Caves. | Victor Parque, Masato Kumai, Satoshi Miura, Tomoyuki Miyashita |
| 2018 | ICTAI | Obstacle-Avoiding Euclidean Steiner Trees by n-Star Bundles. | Victor Parque, Tomoyuki Miyashita |
| 2018 | ICTAI | Unranking Combinations Using Gradient-Based Optimization. | Victor Parque, Tomoyuki Miyashita |
| 2018 | SMC | Spiral Folding of Thin Films with Curved Surface. | Victor Parque, Kohei Ogawa, Satoshi Miura, Tomoyuki Miyashita |
| 2017 | ICTAI | On the Numerical Representation of Labeled Graphs with Self-Loops. | Victor Parque, Tomoyuki Miyashita |
| 2017 | ICTAI | Bundling n-Stars in Polygonal Maps. | Victor Parque, Tomoyuki Miyashita |
| 2017 | SIMULTECH | Computing Path Bundles in Bipartite Networks. | Victor Parque, Satoshi Miura, Tomoyuki Miyashita |
| 2017 | SIMULTECH | Path Bundling in Modular Bipartite Networks. | Victor Parque, Satoshi Miura, Tomoyuki Miyashita |
| 2015 | ICONIP | Learning the Optimal Product Design Through History. | Victor Parque, Tomoyuki Miyashita |
| 2014 | ICONIP | Neural Computing with Concurrent Synchrony. | Victor Parque, Masakazu Kobayashi, Masatake Higashi |
| 2014 | SMC | Bijections for the numeric representation of labeled graphs. | Victor Parque, Masakazu Kobayashi, Masatake Higashi |
| 2014 | SMC | Searching for machine modularity using explorit. | Victor Parque, Masakazu Kobayashi, Masatake Higashi |
| 2013 | ICONIP | Reinforced Explorit on Optimizing Vehicle Powertrains. | Victor Parque, Masakazu Kobayashi, Masatake Higashi |
| 2011 | GECCO | Genetic network programming with changing structures for a novel stock selection model. | Victor Parque, Shingo Mabu, Kotaro Hirasawa |
| 2010 | SMC | Asset selection in global financial markets using Genetic Network Programming. | Victor Parque, Shingo Mabu, Kotaro Hirasawa |