FROG: Face Recognition via Multimedia Messaging. - Prospero C. Naval Jr.; Riza Theresa B. Batista; Hazel Jean M. Mercado; Usman P. Moti Jr. (CCCT (1), 2004)

HUNI: Music Retrieval by Humming using Autocorrelation, Viterbi Algorithm and Approximate String Matching. - Emmanuel P. Nepomuceno; Patricia Palea G. Orjalo; Prospero C. Naval Jr. (CCCT (2), 2004)

An effective use of crowding distance in multiobjective particle swarm optimization. - Carlo R. Raquel; Prospero C. Naval Jr. (GECCO, 2005)

Training Neural Networks Using Multiobjective Particle Swarm Optimization. - John Paul Tan Yusiong; Prospero C. Naval Jr. (ICNC (1), 2006)

An Evolutionary Multi-objective Neural Network Optimizer with Bias-Based Pruning Heuristic. - Prospero C. Naval Jr.; John Paul Tan Yusiong (ISNN (3), 2007)

Parameter estimation using Simulated Annealing for S-system models of biochemical networks. - Orland R. Gonzalez; Christoph Küper; Kirsten Jung; Prospero C. Naval Jr.; Eduardo Mendoza (Bioinform., 2007)

Design of stock trading system for historical market data using multiobjective particle swarm optimization of technical indicators. - Antonio C. Briza; Prospero C. Naval Jr. (GECCO (Companion), 2008)

Automated essay content analysis based on Concept Indexing with Fuzzy C-means clustering. - Abigail R. Razon; Ma. Lourdes J. Vargas; Rowena Cristina L. Guevara; Prospero C. Naval (APCCAS, 2010)

Parameter estimation with term-wise decomposition in biochemical network GMA models by hybrid regularized Least Squares-Particle Swarm Optimization. - Prospero C. Naval; Luis G. Sison; Eduardo R. Mendoza (IEEE Congress on Evolutionary Computation, 2010)

Stock trading system based on the multi-objective particle swarm optimization of technical indicators on end-of-day market data. - Antonio C. Briza; Prospero C. Naval Jr. (Appl. Soft Comput., 2011)

A Coral Mapping and Health Assessment System Based on Texture Analysis. - Prospero C. Naval Jr.; Maricor Soriano; Bianca Camille Esmero; Zorina Maika Abad (ACIIDS (1), 2014)

Classification of heart sounds using discrete and continuous wavelet transform and random forests. - Christine C. Balili; Ma. Caryssa C. Sobrepena; Prospero C. Naval (ACPR, 2015)

Weakly-Labelled Semantic Segmentation of Fish Objects in Underwater Videos Using a Deep Residual Network. - Alfonso B. Labao; Prospero C. Naval Jr. (ACIIDS (2), 2017)

Malaria Parasite Detection and Species Identification on Thin Blood Smears Using a Convolutional Neural Network. - Kristofer delas Peñas; Pilarita T. Rivera; Prospero C. Naval Jr. (CHASE, 2017)

Vertebra Fracture Classification from 3D CT Lumbar Spine Segmentation Masks Using a Convolutional Neural Network. - Charmae B. Antonio; Louise Gillian C. Bautista; Alfonso B. Labao; Prospero C. Naval Jr. (ACIIDS (2), 2018)

Classification of Bird Sounds Using Codebook Features. - Alfonso B. Labao; Mark A. Clutario; Prospero C. Naval Jr. (ACIIDS (1), 2018)

Analysis of Convolutional Neural Networks and Shape Features for Detection and Identification of Malaria Parasites on Thin Blood Smears. - Kristofer delas Peñas; Pilarita T. Rivera; Prospero C. Naval Jr. (ACIIDS (2), 2018)

Induced Exploration on Policy Gradients by Increasing Actor Entropy Using Advantage Target Regions. - Alfonso B. Labao; Carlo R. Raquel; Prospero C. Naval Jr. (ICONIP (2), 2018)

Stabilizing Actor Policies by Approximating Advantage Distributions from K Critics. - Alfonso B. Labao; Prospero C. Naval (ICPR, 2018)

AC2: A Policy Gradient Actor with Primary and Secondary Critics. - Alfonso B. Labao; Prospero C. Naval (IJCNN, 2018)

U-ISLES: Ischemic Stroke Lesion Segmentation Using U-Net. - Lea Katrina S. Cornelio; Mary Abigail V. del Castillo; Prospero C. Naval Jr. (IntelliSys (2), 2018)

Alphabet Sign Language Image Classification Using Deep Learning. - Rangel Daroya; Daryl Peralta; Prospero C. Naval (TENCON, 2018)

Simultaneous Localization and Segmentation of Fish Objects Using Multi-task CNN and Dense CRF. - Alfonso B. Labao; Prospero C. Naval Jr. (ACIIDS (1), 2019)

Multi-scale Autoencoders in Autoencoder for Semantic Image Segmentation. - John Paul Tan Yusiong; Prospero C. Naval Jr. (ACIIDS (1), 2019)

Predicting Protein-Protein Interactions based on Biological Information using Extreme Gradient Boosting. - Jerome Cary Beltran; Paolo Valdez; Prospero C. Naval (CIBCB, 2019)

How Deep is Your Law? Predicting Associations Between Cases in Philippine Jurisprudence. - Mygel Andrei Martija; Jansen Domoguen; Prospero C. Naval (TENCON, 2019)

AsiANet: Autoencoders in Autoencoder for Unsupervised Monocular Depth Estimation. - John Paul Tan Yusiong; Prospero C. Naval (WACV, 2019)

SALSA: Detection of Cybertrolls using Sentiment, Aggression, Lexical and Syntactic Analysis of Tweets. - Jose Lorenzo C. Capistrano; Jessie James P. Suarez; Prospero C. Naval Jr. (WIMS, 2019)

Cascaded deep network systems with linked ensemble components for underwater fish detection in the wild. - Alfonso B. Labao; Prospero C. Naval Jr. (Ecol. Informatics, 2019)

Locally Adaptive Regression Kernels and Support Vector Machines for the Detection of Pneumonia in Chest X-Ray Images. - Ara Abigail E. Ambita; Eujene Nikka V. Boquio; Prospero C. Naval (ACIIDS (2), 2020)

PRTNets: Cold-Start Recommendations Using Pairwise Ranking and Transfer Networks. - Dylan M. Valerio; Prospero C. Naval (ACIIDS (1), 2020)

Towards Learning to Read Like Humans. - Louise Gillian C. Bautista; Prospero C. Naval (ICCCI, 2020)

GazeMAE: General Representations of Eye Movements using a Micro-Macro Autoencoder. - Louise Gillian C. Bautista; Prospero C. Naval (ICPR, 2020)

SynDHN: Multi-Object Fish Tracker Trained on Synthetic Underwater Videos. - Mygel Andrei M. Martija; Prospero C. Naval (ICPR, 2020)

Automated Detection of Helminth Eggs in Stool Samples Using Convolutional Neural Networks. - Kristofer E. delas Peñas; Elena A. Villacorte; Pilarita T. Rivera; Prospero C. Naval (TENCON, 2020)

A Survey on Deep Learning Techniques for Video Anomaly Detection. - Jessie James P. Suarez; Prospero C. Naval Jr. (CoRR, 2020)

A Semi-Supervised Approach to Monocular Depth Estimation, Depth Refinement, and Semantic Segmentation of Driving Scenes using a Siamese Triple Decoder Architecture. - John Paul Tan Yusiong; Prospero C. Naval (Informatica (Slovenia), 2020)

CLRGaze: Contrastive Learning of Representations for Eye Movement Signals. - Louise Gillian C. Bautista; Prospero C. Naval (EUSIPCO, 2021)

COViT-GAN: Vision Transformer for COVID-19 Detection in CT Scan Images with Self-Attention GAN for Data Augmentation. - Ara Abigail E. Ambita; Eujene Nikka V. Boquio; Prospero C. Naval (ICANN (2), 2021)

A3C-GS: Adaptive Moment Gradient Sharing With Locks for Asynchronous Actor-Critic Agents. - Alfonso B. Labao; Mygel Andrei Martija; Prospero C. Naval (IEEE Trans. Neural Networks Learn. Syst., 2021)

Multispectral-Based Imaging and Machine Learning for Noninvasive Blood Loss Estimation. - Ara Abigail E. Ambita; Catherine S. Co; Laura T. David; Charissa M. Ferrera; Prospero C. Naval (ACCV (2), 2022)

FASENet: A Two-Stream Fall Detection and Activity Monitoring Model Using Pose Keypoints and Squeeze-and-Excitation Networks. - Jessie James P. Suarez; Nathaniel S. Orillaza Jr.; Prospero C. Naval (ACIIDS (2), 2022)

Two-View Left Ventricular Segmentation and Ejection Fraction Estimation in 2D Echocardiograms. - Frank Cally A Tabuco; Jose Donato A. Magno; Nathaniel S. Orillaza Jr.; Rani Ailyna V. Domingo; Prospero C. Naval (BMVC, 2022)

Unraveling COVID-19 Misinformation with Latent Dirichlet Allocation and CatBoost. - Joy Nathalie M. Avelino; Edgardo P. Felizmenio Jr.; Prospero C. Naval Jr. (ICCCI (CCIS Volume), 2022)

AFAR: A Real-Time Vision-based Activity Monitoring and Fall Detection Framework using 1D Convolutional Neural Networks. - Jessie James P. Suarez; Nathaniel S. Orillaza Jr.; Prospero C. Naval (ICMLC, 2022)

Dynamic Model-Agnostic Meta-Learning for Incremental Few-Shot Learning. - Jansen Keith L. Domoguen; Prospero C. Naval (ICPR, 2022)

Towards a Feasible Hand Gesture Recognition System as Sterile Non-contact Interface in the Operating Room with 3D Convolutional Neural Network. - Roy Amante Salvador; Prospero C. Naval (Informatica (Slovenia), 2022)

Multi-class Semantic Segmentation of Tooth Pathologies and Anatomical Structures on Bitewing and Periapical Radiographs. - James-Andrew Sarmiento; Liushifeng Chen; Prospero C. Naval Jr. (MVA, 2023)

Leveraging Large Image-Caption Datasets for Multimodal Taxon Classification. - Raynor Kirkson E. Chavez; Kyle Gabriel M. Reynoso; Carlo R. Raquel; Prospero C. Naval (ACIIDS (Companion 2), 2024)

Phishing Detection Using Ensemble of Classifiers. - David Raphael M. Daza; Frank Cally A Tabuco; Prospero C. Naval Jr. (ACIIDS (Companion 1), 2024)

Philippine Lime (Calamansi) Disease Detection and Classification Using YOLOv8 Model. - Ma. Madecheen S. Pangaliman; Kathleen M. Manalo; Prospero C. Naval Jr. (ACIIDS (Companion 2), 2024)

Beyond Canonical Fine-tuning: Leveraging Hybrid Multi-Layer Pooled Representations of BERT for Automated Essay Scoring. - Eujene Nikka V. Boquio; Prospero C. Naval Jr. (LREC/COLING, 2024)

Automated Landslide Detection: A Comparative Study of Change Detection and Semantic Segmentation Techniques. - Samuel Cerrudo; Daniel De Castro; Prospero C. Naval Jr. (ICONIP (10), 2024)

USAM-Net: A U-Net-Based Network for Improved Stereo Correspondence and Scene Depth Estimation Using Features from a Pre-trained Image Segmentation Network. - Joseph Emmanuel DL Dayo; Prospero C. Naval Jr. (ICONIP (2), 2024)

Aero-Engine Condition-Based Maintenance Planning Using Reinforcement Learning. - Michael Q. Ignacio; Prospero C. Naval (ICONIP (3), 2024)

Myocardial Infarction Detection Using Video Frame Key-point and Gradient Matching. - Frank Cally A Tabuco; Prospero C. Naval (IJCNN, 2024)

Using Artificial Neural Networks for Automated Lithologic Mapping and Mineral Exploration in Mayantoc, Tarlac, and San Juan, Batangas. - April Kaye A. Soriano; Prospero C. Naval (ACIIDS (2), 2025)

Enhanced Blood Loss Quantification Using a Novel Multi-Wavelength Imaging Approach. - Ara Abigail E. Ambita; Laura T. David; Catherine S. Co; Prospero C. Naval (IEEE Access, 2025)

Reinforcement Learning Environment with LLM-Controlled Adversary in D&D 5th Edition Combat. - Joseph Emmanuel DL Dayo; Michel Onasis S. Ogbinar; Prospero C. Naval Jr. (CoRR, 2025)