Publications

2025

• Explainable screening of oral cancer via deep learning and case-based reasoning

2024

• Optimizing sparse topologies via competitive joint unstructured neural networks
• Towards explainable oral cancer recognition: Screening on imperfect images via Informed Deep Learning and Case-Based Reasoning
• Cerbero-7B: A Leap Forward in Language-Specific LLMs Through Enhanced Chat Corpus Generation and Evaluation
• Image-based screening of oral cancer via deep ensemble architecture
• Advanced Control of Humanoid Facial Robotics: A Deep Learning Approach to Inverse Kinematics
• Detection and Classification of Hysteroscopic Images Using Deep Learning

2023

• Blockchain-based Shared Additive Manufacturing
• Swarms of Artificial Platelets for Emergent Hole Detection and Healing in Wireless Sensor Networks
• Convolutional Neural Networks for Structural Damage Localization on Digital Twins
• Using deep learning and radar backscatter for mapping river water surface
• Using Deep Learning with Attention to Detect Data Exfiltration by POS Malware
• Application of Deep Learning Model in the Sonographic Diagnosis of Uterine Adenomyosis

2022

• TeTIm-Eval: a novel curated evaluation data set for comparing text-to-image models
• Deep learning of structural changes in historical buildings
• Dense Information Retrieval on a Latin Digital Library via LaBSE and LatinBERT Embeddings
• Structural Damage Localization via Deep Learning and IoT enabled Digital Twin
• Using Deep Learning-based Object Detection to extract structure information from scanned documents
• Enhancing land subsidence awareness via InSAR data and Deep Transformers

2021

• Zero-shot mathematical problem solving via Generative Pre-trained Transformers
• A machine learning approach for groundwater modeling
• Noise Boosted Neural Receptive Fields
• Multi-objective optimization of water distribution networks via NSGA-II and Pseudo-Weights
• Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search

2020

• Solving the scalarization issues of Advantage-based Reinforcement Learning Algorithms

2019

• Formal derivation of Mesh Neural Networks with their Forward-Only gradient Propagation
• Using stigmergy as a computational memory in the design of recurrent neural networks

2018

• Using stigmergy to incorporate the time into artificial neural networks

2017

• Spikiness Assessment of Term Occurrences in Microblogs