SEMINARS

Date: 15 June, Library Auditorium

14:00 -  NTW 2026 Opening

14:15 - 'A Connected Cloud of Spheres Classification Method', Paula Amaral, NOVA FCT, Portugal

Date: 18 June, Library Auditorium

10:00 -  'Integrating Statistical and Machine Learning Models for Enhanced Time Series Forecasting', Jorge Caiado, ISEG Lisbon School of Economics and Management, Universidade de Lisboa, Lisbon, Portugal

11:00 -  Random Forests in Genomic Prediction \& Selection: Challenges and Paths Toward Robustness, Vanda Lourenço, NOVA FCT, Portugal

Date: 22 June, Library Auditorium

14:00 -  'Large Language Models and Data Economy', Anna Rogers, IT University of Copenhagen (online)

15:00 -  'Transformer-based CoVaR: Systemic Risk in Textual Information', Weining Wang, University of Bristol

SHORT COURSE

Date: 24 and 25 June, Room Samsung, Building I

10:00 - 12:00 - 'Time Series to Modern AI', Weining Wang, University of Bristol

( Registration for the Short Course is free but mandatory)

PITCH YOUR RESEARCH

Date: 25 June, Library Auditorium

14:00 - Pitch Your Research: Machine Learning for Modern Data  - Opening

14:10 - Vitor Augusto, NOVA FCT (PhD student), Statistical Disclosure Control and Quality Evaluation of Synthetic Data Generated by Non-parametric Methods

14:20 - Beatriz Comparado, NOVA FCT (Master student), Weighting for improved Stochastic Gradient Boosting in Genomic Prediction

14:30 - Ricardo Coelho, NOVA FCT (PhD student), Estimation of Above-Ground Biomass Using Satellite Data

14: 40 - David Santos, NOVA FCT (Master student), Root Cause Analysis in Radio Access Networks

14:50 - João Carrilho, NOVA FCT (PhD student), Supervised topic modeling via integrated LDA-NMF for discriminative RNA-seq biomarker discovery in glioma

15:00 - Inês Gonçalves, Value for Health CoLAB (Master student), AI Predictive Models for Prediction of High Users of the Emergency Department

15:10 - Maria Teresa Bastos Lopes, Value for Health CoLAB (Master student), High Users Management with AI: An Integrated Smart Solution to Improve Care and Optimize Resources for Frequent Emergency Users

15:20 - Gonçalo Dinis, NOVA FCT (Master student), UpliftModeling For Customer Retention: A comparison BetweenMeta-Learners, Direct Uplift Estimation and Learning to Rank Approaches

15:30 - João Realinho, NOVA LINCS (Master student), User Behavior Profiling via Kernel-Level Telemetry and Lightweight Edge-Inference

15:40 - Panel comments & Final discussion 

( Registration for Pitch presentations is free but mandatory)