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Academia Partnerships
Publications
Projects
Resources
Contact us

Academia Partnerships
Publications
Projects
Resources
Contact us

Robotic Motion Planning in Reproducing Kernel Hilbert Spaces

Seminars

S13 (2021-2022)

ML-Inception: understanding where and why models work (and don’t work)

Machine Learning for Motion Planning of Autonomous Vehicles — Interaction-Aware Motion Planning in Crowded Dynamic Environments

On the Calibration of Generative Question-Answering models: State-of-the-art and Challenges

Explainable Artificial Intelligence and its role in supporting medical diagnosis

The perspective of the language in multimodal conversational AI for high-end fashion marketplaces

Equivariant neural networks for recovery of Hadamard matrices

Simplifying Multilingual News Clustering Through Projection From a Shared Space

From Captions to Natural Language Explanations

S12 (2020-2021)

Revealing semantic and emotional structure of suicide notes

NLP at Cleverly and Multilingual Email Zoning

Fact-checking as a conversation

Visual Attention with Sparse and Continuous Transformations

Explainability for Sequential Decision-Making

A brief history of Spoken Language Understanding

TrimTuner: Efficient Optimization of Machine Learning Jobs in the Cloud via Sub-Sampling

S11 (2019-2020)

Preference Modeling with Context-Dependent Salient Features

The Explanation Game: Towards Prediction Explainability through Sparse Communication

Can 5G and Machine Learning Replace the GPS?

Exploring Label Structure and Spatial Attention for Fashion Images Classification

Adaptively Sparse Transformers

Evaluating Neural Methods for Approximate String Matching and Duplicate Detection

A Biologically Plausible Learning Algorithm for Artificial Neural Networks

Variational Mixture of Normalizing Flows

Sparse and Structured Visual Attention

S10 (2018-2019)

INSIGHT: Advancing NLP for scaling-up Media Monitoring and Technology Watch

Learning of leader-follower graph from time-correlated big data streams with missing entries

DJAM - Distributed Jacobi Asynchronous Method for Learning Personalized Models

A dynamical systems’ perspective of the expectation-maximization-like algorithms

Fraud Prevention with Deep Learning models

An optimization approach for structured agent-based provider/receiver tasks

Transfer learning approach for fall detection with the FARSEEING real-world dataset and simulated falls

Learning with Sparse Latent Structure

Robust Object Recognition Through Symbiotic Deep Learning In Mobile Robots

Will Deep Convolutional Neural Networks open the way to Artificial General Intelligence?

Collection and analysis of political discourse within the Portuguese parliamentary scenario

Generative Modelling of Single-cell Transcriptomic Data

Hotel Bookings Cancellation Prediction

Two optimisation ideas for locating a target

From genetic data to actionable knowledge

Wikipedia Graph Mining: Dynamic structure of collective memory

Exploring Medical Records with Machine Learning and Natural Language Processing

Deep Learning Applied to Medical Imaging

Kernel and Moment Based Prediction and Planning

Data Science, Machine Learning and AI: an IBM perspective

Going Neurotic With Neural Word Embeddings... again!

Learning from distributed datasets

Neuroscience: a control theory and network science perspective

Shape-Based Trajectory Clustering

Distributed inference on networks: algorithms for agent self-localization

Semi-Supervised Learning of Sequence Models with the Method of Moments

Tackling Inverse Problems in Imaging Using Targeted Priors

Linguistic Benchmarks of Online News Article Quality

Online news clustering for crosslingual media monitoring

Microsoft machine learning story and why it is changing the company's future

Challenges in Aspect-based Sentiment Analysis

A Web Tool for Building Parallel Corpora of Spoken and Sign Languages

An adaptive methodology to predict daily consumption behaviour in water distribution systems

Robotic Motion Planning in Reproducing Kernel Hilbert Spaces

A trick for creating convex envelopes

Automated Generation of Movie Tributes

Video Summaries for Science Talks

Data Mining for Decision-Making

Cross-lingual Document Classification

Robust Classification with Context and Rejection

Event-based Multi-document Summarization

Convex and Nonconvex Formulations for Image Segmentation Using Hidden Fields

Towards Social Media Analysis for Low-Resource Languages

Noise Decomposition for Multiplicative and Wide Sense Multiplicative Noise

Minimum Number of Probes for Brain Dynamics Observability

NLP with characters

Comparison of three methods for the identification of switched hybrid systems

Bottleneck Neural Network Language Models

Sparse Estimation with Strongly Correlated Variables

Comparison of predictive accuracy and descriptive power of Machine Learning algorithms through a case study involving maintenance of jet engines

Unbabel - Distributed Crowd Translation

Hyperspectral Source Separation

Hyperspectral image superresolution: An edge-preserving convex formulation

Orbit Regularization

Distributed detection over random networks

Multidimensional wavelets and invariance principles for the analysis of bioimages

Learning Temporal-Dependent Ranking Models

Beyond the Mean Field Approximation for Inference in Multi-Layer Perceptrons

Object Category Recognition through RGB-D Data

Towards Model Independent Image Denoising and Reconstruction

Identification of Hybrid Systems with Particle Filtering and Expectation Maximization

Fast gradient methods for distributed optimization

Sparse Optimization and Applications to Information Processing (2)

Sparse Optimization and Applications to Information Processing (1)

Proximal Markov Chain Monte Carlo: Convex Optimisation Meets Stochastic Sampling

An innovative Machine Learning approach to predict the maintenance of complex turbomachines

Shape Representation via Symmetric Polynomials: A Complete Invariant Inspired by the Bispectrum

Semantic Approach in Genetic Programming

Brain-Computer Interfacing: More than the sum of its parts

Automatic detection of skin cancer in dermoscopy images: A medically oriented approach

Turning on the Turbo in Turbo Parsing

A Framework for Structural Input/Output and Control Configuration Selection of Large-Scale Systems

Spectral Algorithms for learning Hidden Markov Models

Speech Translation: Modeling and Conversion of speaking style across languages

Privacy enhancement in biometrics

Semantics and Fitness Landscapes in Genetic Programming

Effects of Wifi Internet Usage on Academic Performance in a University Setting

Exploratory EEG Analysis Using Clustering and Phase-Locking Factor

Towards automatic identification of independent components representing EEG artifacts

Cross-Language Alignments: Challenges, Guidelines and Gold Sets

Modeling Subcellular Location from Images and Other Sources of Information

A New Approach to Cross-Modal Multimedia Retrieval

Distributed Algorithms for Separable Optimization

Feature discretization and selection techniques for high-dimensional data

The dissimilarity representation for structural pattern recognition

Unsupervised Learning of Finite Mixture Models using Mean Field Games

Integration of Fourier Domain Speech Enhancement and Automatic Speech Recognition through Uncertainty Propagation

Integrating machine learning functionality into a real-time data processing engine

Structured Sparsity for Structured Prediction

SSS: Separation of Synchronous Sources

Development of the Bing search engine at the Microsoft Language Development Center

Rich Prior Knowledge in Learning for Natural Language Processing

Inductive Logic Programming applied to Bioinformatics

Structured Prediction, MAP Inference, and Dual Decomposition with Augmented Lagrangians

Innovization: Revealing Innovative Design Principles through Multi-Objective Optimization

Towards a Finger Based ECG Biometric System

Project ARGUS: Characterizing People Activities Using Multiple Motion Fields

Unsupervised feature discretization and selection for sparse data

A Tutorial on Genetic Programming

Blind Separation and Blind Deblurring of Natural Images

Resonance-based Signal Analysis

Network Inference from Co-occurences

An Iterative, Constrained Approach for Pitch Component Extraction

Learning simple texture discrimination filters

Mind The Gap: Reconstruction of missing cardiovascular signals using adaptive filtering

From elements to networks of neuronal activity – a machine learning approach

Posterior Regularization Framework: Learning Tractable Models with Intractable Constraints

Decision-theoretic Planning under Uncertainty for Active Cooperative Perception

Gradient Approaches to Reinforcement Learning

Multimodal pattern matching algorithms and applications

Towards Closing the Loop: Active Learning for Robotics

Extracting geographic entities with Conditional Random Fields

Machine learning tools and their use in automotive electronic design & validation process: Case study of FM09 (Formula Manipal)

Empowering large buildings with learning skills. How to use past measures to increase their usage efficiency and reduce consumptions

Text-Driven Forecasting: Meaning as a Real Number

31 May

Robotic Motion Planning in Reproducing Kernel Hilbert Spaces

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