Modeling, Optimization and Design of High Power Medium Frequency Transformers

Deep Generative Models for Autonomous Driving: from Motion Forecasting to Realistic Image Synthesis

Hardware-Software co-design Methodologies for Edge AI Optimization

Implicit Distance Functions: Learning and Applications in Robotics

Robust tunable acoustic impedance control on electroacoustic resonators for aircraft noise reduction

Equivariant Neural Architectures for Representing and Generating Graphs

Brain-controlled spinal cord stimulation to restore mobility after spinal cord injury.

Flexible High Power Electronics Solutions for Hydro-Power Applications

Probabilistic methods for neural combinatorial optimization

Data-driven approaches for non-invasive cuffless blood pressure monitoring

Improving hand prosthesis control with advanced single-finger proportional decoding and robotic shared control

Text Representation Learning for Low Cost Natural Language Understanding

On matching data and model in LF-MMI-based dysarthric speech recognition

Hyperdimensional computing for biosignal monitoring: Applications for epilepsy detection

Real world multimodal assessment of physical behavior change in health and disease

Interpretable Representation Learning and Evaluation for Abstractive Summarization

Compilation and Design Space Exploration of Dataflow Programs for Heterogeneous CPU-GPU Platforms

Finding information-rich electrocardiographic biomarkers to characterize atrial fibrillation

Learning and optimization of anticipatory feedback controllers for robot manipulation

Novel Methods For Detection And Analysis Of Atypical Aspects In Speech

Estimating and Improving the Robustness of Attributions in Text

Machine Learning Methods for Robust Uncertainty Quantification and Controller Approximation

Microstrip patch antennas with broad beamwidth

Exploring brain-inspired multi-core heterogeneous hardware templates for low-power biomedical embedded systems

Confidence Matters: Applications to Semantic Segmentation

Dispatch-aware Optimal Planning of Active Distribution Networks including Energy Storage Systems

New ultrahigh-speed device concepts: from THz nanoplasma devices to glass-like electronics for neuromorphic computation

Sparse Autoencoders for Speech Modeling and Recognition

Methods for Grid-aware Operation and Planning of Active Distribution Networks

Optimal Design Operation Strategies of a Hyperloop Transportation System

Quantization for Distributed Processing and Learning of Structured Data

Efficient methods for the operation of active distribution networks in unsymmetric and uncertain states

Deep Learning Methods for Socially-Aware Human Trajectory Forecasting

Design and management of three-dimensional multi-processor systems-on-chip with integrated flow cell arrays

Opinion Formation over Adaptive Networks

Millimeter-wave to near-terahertz sensors based on reversible insulator-to-metal phase transition in Vanadium dioxide

Data-driven Power Electronic Converter Control Design in Power System Applications

Efficient Transformer-Based Speech Recognition

Multivariate time series forecasting for freeway networks

Uncooperative Rendezvous in Space: Design of an Electronic Architecture for High Performance Avionic with Multi Sensor Input and Intensive Data Rate.

Plasma-based Electroacoustic Actuator for Broadband Sound Absorption

Variational Methods For Continuous-Domain Inverse Problems: the Quest for the Sparsest Solution

In-Memory Hardware and Architectural Extensions for Workloads Acceleration

Robustness and invariance properties of image classifiers

Memory of Motion for Initializing Optimization in Robotics

Advanced Techniques in Optical Diffraction Tomography

LiNiO Junction Gate for High-performance Enhancement-mode GaN Power Transistor

Ultra low quantum decoherence nano-optomechanical systems

Energy Efficient Sensing using Steep Slope Devices

Cellular Fronthauling for Data Capacity Increase in Underserved Spaces

A fibre optic and machine learning based health monitoring system for superconducting power applications in modern supergrids

Nonlinear Inverse Problems in Quantitative Phase Imaging

Automatic pathological speech assessment

Stop Wasting my FLOPS: Improving the Efficiency of Deep Learning Models

Leveraging topology, geometry, and symmetries for efficient Machine Learning

Optimization Over Banach Spaces: A Unified View on Supervised Learning and Inverse Problems

Self-Aware Machine Learning for Chronic Pathology Monitoring on Wearable Devices

Graph Representation Learning with Optimal Transport: Analysis and Applications

Real-Time Nonlinear Model Predictive Control for Fast Mechatronic Systems

Combining Model Driven and Data Driven Approaches for Inverse Problems in Parameter Estimation and Image Reconstruction: From Modelling to Validation

Reshaping Perception for Autonomous Driving with Semantic Keypoints

Learning of physical systems: from inference to control

Real-Time fMRI Neurofeedback: Methods and Application to Chronic Tinnitus

Hard and Soft Switching Losses in Power Converters: Role of Transistor Output Capacitance

Auditory externalization of a remote microphone signal

Deep learning-based analysis of multiple sclerosis lesions with high and ultra-high field MRI

Graph signal processing tailored for subgraph focus and community structure

Graph Representation Learning in Computational Pathology

Controllability and Interpretability in Affective Speech Synthesis

Strategies, Techniques and Systems for powering low-maintenance and battery-free devices through Energy Harvesting and Wireless Power Transfer

Vegetation cover and plant-trait effects on outdoor thermal comfort in a tropical city

N. Meili; J. A. Acero; N. Peleg; G. Manoli; P. Burlando et al. 

Model-based 3D Face Reconstruction

Learning strategies and representations for intuitive robot learning from demonstration

Lightning to tall structures: Characterization, Modeling and Protection

Representation Learning for Multi-relational Data

Modeling and Inferring Attention between Humans or for Human-Robot Interactions

Efficient Depth-based Deep Learning Methods for Multi-Party Pose Estimation

Quantitative Microstructural Imaging for Clinical Use

Electrical spinal cord stimulation protocols to regulate neurological functions after spinal cord injury

Gradient-based Methods for Deep Model Interpretability

Electrical spinal cord stimulation protocols to regulate motor and autonomic functions in people with neurological disorders

Augmenting the performance of impoverished sensor networks using machine learning and time reversal: Application to lightning nowcasting and location

New Reliability Assessment of MEMS Components under Accumulative Testing for Space Applications

Diamond on GaN integration for power semiconductor devices with efficient thermal management

Personalizable computational models of electrical spinal cord stimulation to restore function after neurological disorders

Sound Field Reconstruction in a room through Sparse Recovery and its application in Room Modal Equalization

Novel Methods for Incorporating Prior Knowledge for Automatic Speech Assessment

Simulation-based Microstructure Imaging: From Forward Signal Modeling to Machine Learning

Architecture Exploration and Optimization of Heterogeneous Many-Core Compute and Memory Architectures with Architectural Extensions

Development and evaluation of galaxy shape measurement algorithms for radio interferometric data

Ultrasound Imaging: From Physical Modeling to Deep Learning

Investigation of electrical stimulation of the optic nerve for artificial vision

Context-Aware Image Super-Resolution Using Deep Neural Networks

Pushing the Limits of Efficiency and Power Density in High-Frequency Power Conversion Based on Wide-Band-Gap Technologies

A portable picocell antenna for 5G

Electromagnetic waves under nonstationary conditions, the connection with parity-time symmetry and studies on resonant systems

Cryogenic MOSFET Modeling for Large-Scale Quantum Computing

Methods for functional connectivity and morphometry in neonatal neuroimaging to study neurodevelopment.

Hierarchical Control of Islanded Microgrids with Flexible Structures

Explainable Phonology-based Approach for Sign Language Recognition and Assessment

System-level Design of Adaptive Wearable Sensors for Health and Wellness Monitoring

Networks of Coupled VO2 Oscillators for Neuromorphic Computing

Perceptual Quality of Point Clouds with application to Compression

Weakly Supervised Deep Learning Methods for Biomicroscopy

Product of experts for robot learning from demonstration

Enhancement Mode Tri-gate GaN Power Devices and Logic Circuits

Deep Learning Approaches for Auditory Perception in Robotics

Analysis of a Novel Toroidal Configuration for Hadron Therapy Gantries

Low-Latency High-Bandwidth Circuit and System Design for Trigger Systems in High Energy Physics

Optimization Methods for Control: From Embedded Programmable Hardware to Data-Driven Process Optimization

Quench behavior of high-temperature superconductor tapes for power applications: a strategy toward resilience

Discourse Phenomena in Machine Translation

Computational methods for live heart imaging with speed-constrained microscopes

Development of a peripheral neuroprosthesis to elicit fine hand movements in primates

GaN vertical power devices on silicon substrates

Adaptive Body Biasing in Strong Body Factor Technologies

A modeling framework to understand and optimize ultrasound neuromodulation

Program compilation for large-scale quantum computers

Exploring dynamic functional connectivity by incorporating prior knowledge of brain structure

Dynamic pattern recognition in large-scale graphs with applications to social networks

Monitoring of Cardiovascular and Neurological Diseases Using Wearable Devices

Gait in real world: validated algorithms for gait periods and speed estimation using a single wearable sensor

Wearable and Self-Aware Machine Learning System for Online Cognitive Workload Monitoring and Drone Control

On Vacuous and Non-Vacuous Generalization Bounds for Deep Neural Networks.

Multi-Objective Management of Multiprocessor Systems: From Heuristics to Reinforcement Learning

Learning approaches to high-fidelity optical diffraction tomography

Image Compression and Quality Assessment using Convolutional Neural Networks

Good Vibrations and Unknown Excitations

From Classical to Unsupervised-Deep-Learning Methods for Solving Inverse Problems in Imaging.

Convergence without Convexity: Sampling, Optimization, and Games

Electromagnetic Time Reversal: Theory, Application to Fault Location in Power Networks and Experimental Validation

Central and peripheral mechanisms: a multimodal approach to understanding and restoring human motor control

Reconstruction Methods for Cryo-Electron Microscopy: From Model-based to Data-driven

Active illumination and computational Methods for Temporal and Spectral Super-Resolution Microscopy

Robot skills learning with Riemannian manifolds: Leveraging geometry-awareness in robot learning, optimization and control

Dynamics of brain function in preterm-born young adolescents

Multilingual Training and Adaptation in Speech Recognition

Deep Generative Models and Applications

Understanding Eating And Drinking In Context From Crowdsourced Data

Physical Layer Aspects of LoRa and Full-Duplex Wireless Transceivers

Graph-based regularization of inverse problems in imaging

Assessment of Real-World Running With Lab-Validated Algorithms Based on Foot-Worn Inertial Sensors

Motion planning for CAVs in mixed traffic, a study on roundabouts

Trustworthy Face Recognition: Improving Generalization of Deep Face Presentation Attack Detection

Decoding Cognitive States under Varying Difficulty Levels

Accurate Nod and 3D Gaze Estimation for Social Interaction Analysis

Antennas for CubeSat Communication

Learning stereo reconstruction with deep neural networks

Development and application of dynamic functional connectivity methods to elucidate the neural underpinnings of human behaviour with functional magnetic resonance imaging

Evaluation and robotic simulation of the glenohumeral joint

Optimization-based Control, Estimation, and Identification of Urban Road Transport Systems

Visual Attention and Perceptual Quality in Omnidirectional Imaging

Multi-memristive synaptic architectures for training neural networks

Brain-spine interface technologies to alleviate gait deficits after Parkinson’s disease

Trustworthy speaker recognition with minimal prior knowledge using neural networks

Towards quantitative brain connectomics: microstructure informed tractography via convex optimization

Synchronized Sensing for Wide-Area Situational Awareness of Electrical Grids in Non-Stationary Operating Conditions

Language Independent Query by Example Spoken Term Detection

Low Power Sensing and Processing in Wearable Biomedical Devices for Personalized Health Monitoring

Low-Complexity Optimization-Based Control: Design, Methods and Applications

In vivo diffusion magnetic resonance imaging of the white matter microstructure from dictionaries generated by Monte Carlo simulations: development and validation

Multi-Objective System-Level Management of Modern Green Data Centers

Dynamic organization of human brain function and its relevance for psychosis vulnerability

Multimodal person recognition in audio-visual streams

Kernel methods and Model predictive approaches for Learning and Control

Wearable System for Real-Time Sensing of Biomarkers in Human Sweat

Learning How To Recognize Faces In Heterogeneous Environments

Body-machine interfaces for non-homologous human-machine interactions

SUBDIVIDE AND CONQUER Active Contours and Surfaces for Biomedical Image Segmentation

Compression and visual quality assessment for light field contents

Hardware/Software Co-Design and Reliability Analysis of Ultra-Low Power Biomedical Devices

Social Sensing Methods for Analysis of Dyadic Hospitality Encounters

Sparse and Low-rank Modeling for Automatic Speech Recognition

Imaging from Echoes: On Inverse Problems in Ultrasound

Model-based predictive control methods for distributed energy resources in smart grids.

Towards non-parametric reconstruction of axon diameter distributions using diffusion MRI and regularized discrete linear modeling

Context-based Quality of Experience in Immersive Multimedia

3-Dimensional Ultrasound Imaging for Medical Telesonography: Algorithms and Architectures

Guidance, Navigation and Control for Autonomous Rendezvous and Docking of Nano-Satellites

A Computational Approach for the Design of Epidural Electrical Spinal Cord Stimulation Strategies to Enable Locomotion after Spinal Cord Injury

Ultra-coherent nano-mechanical resonators for quantum optomechanics at room temperature

Phonetic aware techniques for Speaker Verification

Designing sensory feedback approaches for restoring touch and position feedback in upper limb amputees

Network utility maximization for delay-sensitive applications in unknown communication settings

IoT Bio-Electronic Multi-Panel Device for On-line Monitoring of Anaesthesia Delivery

Frequency-Domain Control Design in Power Systems

Time-resolved Single-photon Detector Arrays for High Resolution Near-infrared Optical Tomography

Coordinated Optimization and Control for Smart Grids

Visual speech recognition

Word Sense Consistency in Statistical and Neural Machine Translation

Learning-Based Hardware Design for Data Acquisition Systems

Novel Low Complexity Biomedical Signal Processing Techniques for Online Applications

Topics in Educational Cyber-Physical Labs

Dynamic Modeling of Magnetic Components for Circuit Simulation of Power Electronic Systems

Self-Heating Aware Design of ICs in Deep Sub-Micron FDSOI and Bulk Technologies

Distributed Optimization and Control using Operator Splitting Methods

MVDC Distribution Fed High Power Multi-Motor Drives

Signal processing techniques for cardiovascular monitoring applications using conventional and video-based photoplethysmography

Microwave Imaging of Brain Stroke

Development of a monolithic near-field optomechanical system

Low-dimensional data embedding for scalable astronomical imaging in the SKA telescope era

Development and Optimization of Methods for Accelerated Magnetic Resonance Imaging

Nano-electromechanical systems based on ultra-thin semiconductors

Learning embeddings: efficient algorithms and applications

A Data-Driven Frequency-Domain Approach for Robust Controller Design via Convex Optimization

Neural correlates of performance monitoring during discrete and continuous tasks

Characteristics of Upward Lightning Flashes

Noninvasive Stroke Volume Monitoring by Electrical Impedance Tomography

Theory and Algorithms for Hypothesis Transfer Learning

Spline Shape Processing

Visual Analysis of Maya Glyphs via Crowdsourcing and Deep Learning

Landmark Active Contours for Bioimage Analysis

Predictive Control of Buildings for Demand Response and Ancillary Services Provision

Graph-based Methods for Visualization and Clustering

Resonant structures for vapor-cell atomic clocks

Robust Eye Tracking Based on Adaptive Fusion of Multiple Cameras

Neurofeedback Using Real-Time fMRI

Signal Processing Approaches for Cardio-Respiratory Biosignals with an Emphasis on Mobile Health Applications

Electricity market operations under increasing uncertainty

Towards 3D facial morphometry

On Modeling the Synergy Between Acoustic and Lexical Information for Pronunciation Lexicon Development

Privacy-Friendly Photo Sharing and Relevant Applications Beyond

Drift Reduction for Inertial Sensor Based Orientation and Position Estimation in the Presence of High Dynamic Variability During Competitive Skiing and Daily-Life Walking

Antennas for low-cost Ka-band ground terminal devices

Predictive Control methods for Building Control and Demand Response

Electromagnetic Inspired Acoustic Metamaterials

High-Speed Wireline Link Design

Versatile short-wave and mid-infrared sources based on wideband parametric conversion

Graph-based structures in data science

Optimal Representations of Sparse Stochastic Processes with Applications in Image Processing

Data-driven fundamental models for pedestrian movements

Gaussian versus Sparse Stochastic Processes

Sparse inverse problems for Fourier imaging

Wearable systems for grasp rehabilitation after stroke

On Decoupling Chemical Reaction Systems

Systematic Design Space Exploration of Dynamic Dataflow Programs for Multi-core Platforms

Hyperpolarized Magnetic Resonance Methods to Investigate Metabolic Pathways in Liver and Immune Cells

Intonation Modelling for Speech Synthesis and Emphasis Preservation

Non-invasive hemodynamic monitoring by electrical impedance tomography

Large-Scale Image Segmentation with Convolutional Networks

Brain-controlled neuroprosthetic interventions to restore locomotion after contusion spinal cord injury in the rat

Object Detection with Active Sample Harvesting

From recommender systems to spatio-temporal dynamics with network science

A multimodal framework for the design and the assessment of robotic-assisted treatments for motor disorders

Robust image classification

Hardware/Software Co-Design of Ultra-Low Power Biomedical Monitors

Assessment of Image Quality Requirements in Magnetic Resonance Imaging for Quantitative Brain Morphometry

Computational Analysis of Urban Places Using Mobile Crowdsensing

Microarchitectural Low-Power Design Techniques for Embedded Microprocessors

Room Modal Equalisation with Electroacoustic Absorbers

Spatial hearing rendering in wireless microphone systems for binaural hearing aids

Word Sequence Modeling using Deep Learning

Embedding Local Quality Measures in Minutiae-Based Biometric Recognition

Word Embeddings for Natural Language Processing

Locating transient disturbance sources and modelling their interaction with transmission lines

Challenges and Solutions to Next-Generation Single-Photon Imagers

Modulation, Coding, and Receiver Design for Gigabit mmWave Communication

Therapeutic Proteins Engineered for Super-Affinity to the Extracellular Matrix in Regenerative Medicine

Towards End-to-End Speech Recognition

Theory, design and measurement of near-optimal graphene reconfigurable and non-reciprocal devices at terahertz frequencies

CMOS ASIC Design of Multi-frequency Multi-constellation GNSS Front-ends

Hardware Implementation and Applications of High Performance Multiple Camera Architectures

Local Geometric Transformations in Image Analysis

“Can you hear me now?”

Exact Convex Modeling of the Optimal Power Flow for the Operation and Planning of Active Distribution Networks with Energy Storage Systems

Reliability and Adaptive Assistance in Brain-Computer Interfaces

Splitting Methods for Distributed Optimization and Control

Motion Correction in Magnetic Resonance Imaging Using the Signal of Free-Induction-Decay

Contribution to the study of the vulnerability of critical systems to Intentional Electromagnetic Interference (IEMI)

Sparsity-Based Data Reconstruction Models for Biomedical Imaging

Trustworthy Biometric Verification under Spoofing Attacks

Quality of Experience in Immersive Video Technologies

Advanced methods for the evaluation of lightning incidence over large areas, wind turbine parks and tall towers

Shapes from Pixels

Fast Simulation of Electromagnetic Transients in Power Systems

Methods and Performance Assessment of PMU-based Real-Time State Estimation of Active Distribution Networks

Learning Explainable User Sentiment and Preferences for Information Filtering

Decomposition Strategies for Nonconvex Problems, a Parametric Approach

Individual and Inter-related Action Unit Detection in Videos for Affect Recognition

Fixed-structure Control of LTI Systems with Polytopic-type Uncertainty

Graph Signal Processing

Design of novel radiating elements for SATCOM phased arrays in Ku-Band

Real-Time Computational Gigapixel Multi-Camera Systems

Multilevel-cell phase-change memory

Signal structure: from manifolds to molecules and structured sparsity

Optimized Coding Strategies for Interactive Multiview Video

Modeling Users’ Information Needs in a Document Recommender for Meetings

Multi-band reflectarray antennas in Ku and THz frequency bands

Reconfigurable Antennas for Beam-Space MIMO Transmission with a Single Radio

Energy-Efficient Co-Design Optimization of Many-Core Platforms for Big-Data Streaming Applications

Connectomics across development

3D Gaze Estimation from Remote RGB-D Sensors

Energy and Reserve Management in Interconnected Systems including Electric Railway and Public Power Grids

Visuomotor Coordination in Reach-To-Grasp Tasks: From Humans to Humanoids and Vice Versa

Enabling Speech Applications using Ad Hoc Microphone Arrays

Exploring information retrieval using image sparse representations

A mixed-signal computer architecture and its application to power system problems

Evaluation of audio source separation in the context of 3D audio

Distributed Multi-Robot Learning using Particle Swarm Optimization

Synergy of hyperspectral and microwave remote sensing data to derive bio- and geo-physical parameters for land applications

Image processing on reconfigurable hardware for continuous monitoring of fluorescent biomarkers in cell cultures

Integrated Electronics to Control and Readout Electrochemical Biosensors for Implantable Applications

Automatic social role recognition and its application in structuring multiparty interactions

Analysis and optimization of dynamic dataflow programs

Computational Analysis Of Behavior In Employment Interviews And Video Resumes

Structure Modeling of High Dimensional Data

Speaker diarization of spontaneous meeting room conversations

The topology of structural brain connectivity in diseases and spatio-temporal connectomics

High Performance Reconstruction Framework for Straight Ray Tomography

Robust Wearable UHF Antennas for Security Applications

Signaling in 3-D integrated circuits, benefits and challenges

Non-linear Recovery of Sparse Signal Representations with Applications to Temporal and Spatial Localization

Real-Time High-Resolution Multiple-Camera Depth Map Estimation Hardware and Its Applications

Physical activity monitoring based on wearable technology combining inertial and barometric pressure sensors

Low-Power Circuit and System Design for Epileptic Seizure Detection at High Spatiotemporal Resolution

Global tractography with embedded anatomical priors and microstructure information for quantitative connectomics

Sparsity-Driven Statistical Inference for Inverse Problems

Real-Time Optimization via Directional Modifier Adaptation, with Application to Kite Control

Discourse-level features for statistical machine translation

Modeling of Long-Term Multipactor Evolution in Microwave Components Including Dielectric Layers

Bedrock topography reconstruction of glaciers from surface topography and mass-balance data

L. Michel-Griesser; M. Picasso; D. Farinotti; M. Funk; H. Blatter 

Novel ECG and Intracardiac Electrograms Signal Processing Schemes for Predicting the Outcome of Atrial Fibrillation Catheter Ablation

Ultra-Low-Temperature Silicon and Germanium-on-Silicon Avalanche Photodiodes

From Fixed-Order Gain-Scheduling to Fixed-Structure LPV Controller Design

Saliency-based representations and multi-component classifiers for visual scene recognition

Emotion Detection and Recognition based on Brain and Peripheral Physiological Signals

Horn Antennas and Dual-Polarized Circuits in Substrate Integrated Waveguide (SIW) Technology

Energy Efficient VLSI Circuits for MIMO-WLAN

Small antennas as wireless system components

Tractable Approaches to Learning and Planning in High Dimensions

Multi-Band Outphasing Power Amplifier Design for Mobile and Base Stations

Design of Digital SoC for Operation at High Temperatures

Grapheme-based Automatic Speech Recognition using Probabilistic Lexical Modeling

Human Body Proximity Effects on Ultra-Wideband Antennas

Smart Imaging and On-Focal-Plane Image Acquisition and Processing in Standard CMOS Technology

Compressed sensing

Inferring Visual Attention and Addressee in Human Robot Interaction

Human Tracking and Pose Estimation in Open Spaces

Multi-View Signal Processing and Learning on Graphs

Scalable Simulation Methodologies for Many-Core Heterogeneous Systems

Active Control mitigating the Ear Canal Occlusion Effect caused by Hearing Aids

Semi-supervised and unsupervised kernel-based novelty detection with application to remote sensing images

Scalable Probabilistic Models for Face and Speaker Recognition

Mutual learning and spelling in motor imagery brain-computer interfaces

Design Methodologies for Application-Oriented Embedded Systems Under Variable Performance/Constraints Tradeoffs

On Voltage and Frequency Control in Multi-Area Power Systems Security

Objective Assessment of Swimming Biomechanics Using Wearable Inertial Sensors

The Mixed Potential Integral Equation for New Multilayered Structures Including Conductive Shee

Modeling and Control for the Treatment of Type 1 Diabetes

Kinematics Estimation and Loosening Detection in Smart Knee Prostheses

Efficient compressive sampling strategies and novel reconstruction methods with applications in MRI

Planar Antennas for Ka-Band Space Applications

Compressed Optical Imaging

Exploiting Recognition of Natural Visual Stimuli for Brain Computer Interfacing

Automatic Personality Perception

Remote Powering and Communication of Implantable Biosensors Through Inductive Link

Thermal Simulation of Liquid-Cooled Integrated Circuits

Computational Analysis and Methods for Electromagnetic Exposure Limits, Antenna Optimization and Cell Phone Design

Modelling of 2G HTS Coated Conductors for Fault Current Limiter Applications

Rate allocation and optimized decoding in inter-session network coding

Transformation-Invariant Analysis of Visual Signals with Parametric Models

Multiple Comparison Procedures for Large Correlated Data with Application to Brain Connectivity Analysis

Dynamic Classifier Fusion for Multi-sensory Activity Recognition

Model-based Sparse Component Analysis for Multiparty Distant Speech Recognition

Inverse Solutions for Brain Computer Interface

Advanced Topological Solutions for Improving the Security of Large Scale Power Systems

Sparsity-Promoting Spatiotemporal Regularization for Data Mining in Functional Magnetic Resonance Imaging

Geometric Variational Models for Inverse Problems in Imaging

Mining Conversational Social Video

Reserve services management in multi-area power system under uncertainty

Distributed detection, reconstruction and interpolation for sensor network data

Analytical Methods for the Study and Design of Integrated Switched Oscillators and Antennas for Mesoband Radiation

Multilingual speech recognition

Multi Atlas Fusion Methods for Medical Image Segmentation

Circularly Polarized multi-beam Antenna System for High-Altitude-Platforms

Advanced Social Media Analysis

Multi-level Optimization Methodologies for Thermally Reliable Multi-Core Architectures

Learning to Learn by Exploiting Prior Knowledge

Patch-based methods for variational image processing problems

Adaptive revelance feedback for large-scale image retrieval

Unified Framework of Feature Based Adaptation for Statistical Speech Synthesis and Recognition

Numerical Analysis and Design of Antenna Systems for Micro/Nano Satellites

Segmentation and Tracking in High-Throughput Bioimaging

Computational Methods for Audio-Visual Analysis of Emergent Leadership in Teams

Statistical Shape Descriptors for Ancient Maya Hieroglyphs Analysis

Bimodal sound source tracking applied to road traffic monitoring

Instrumentation of the Säntis Tower for Lightning Current Measurement

Data-Driven Enhancement of State Mapping-Based Cross-Lingual Speaker Adaptation

Contribution to modeling multipactor and corona discharges in high power electromagnetic fields

Brain-Computer Interface in Multimedia Systems

Omnidirectional Light Field Analysis and Reconstruction

How Recurrent Dynamics Explain Crowding

A. M. Clarke; M. Herzog 

Miniaturized Microwave Cavities for Industrial Applications

Efficient Schemes for Adaptive Frequency Tracking and their Relevance for EEG and ECG

Sequential Topic Models for Mining Recurrent Activities and their Relationships

Multivariate Boosting with Look-Up Tables for Face Processing

Tunable Electroacoustic Resonators through Active Impedance Control of Loudspeakers

Alternative Search Techniques for Face Detection Using Location Estimation and Binary Features

Distributed Compressed Representation of Correlated Image Sets

Interactive Segmentation of 3D Medical Images with Implicit Surfaces

Privacy-Sensitive Audio Features for Conversational Speech Processing

Boosting Localized Features for Speaker and Speech Recognition

Geodesic Active Fields

Model-based Behavioural Tracking and Scale Invariant Features in Omnidirectional Matching

Toward Reliable MR-Based Brain Structure Morphometry

Analysis and Design of a Planar Radiating Element for Automotive Satellite Broadcasting Reception Systems

Challenges in Computational Electromagnetics

Implantable Antennas for Biomedical Applications

Therapeutic Strategies for the Treatment of Atrial Fibrillation

Social Network Analysis for Automatic Role Recognition

Computational Modeling of Face-to-Face Social Interaction Using Nonverbal Behavioral Cues

Electromagnetic Modelling of Planar Circuits Embedded in Laterally Shielded Multilayered Media

Characterization of Atrial Repolarization Alternans and Activation Time Kinetics based on Intracardiac Electrograms

An Information Theoretic Approach to Speaker Diarization of Meeting Recordings

Analysis and Design of Ultra-Wideband Antennas in the Spectral and Temporal Domains

Multilayer Perceptron Based Hierarchical Acoustic Modeling for Automatic Speech Recognition

Global brain connectivity analysis by diffusion MR tractography

Secure incentives to cooperate for wireless networks

Caractérisation des convertisseurs héliothermiques actifs par couplage entre équations physiques et modèles de représentation