activity
20162024
most citedEEG-assisted Modulation of Sound Sources in the Auditory Scene

24 citations · 87 across the 10 of their papers we have counts for

collaborators

10 papers

stat.AP2024★ 1 cited

Continuously Optimizing Radar Placement with Model Predictive Path Integrals

Michael Potter, Shuo Tang, Paul Ghanem +8

Continuously optimizing sensor placement is essential for precise target localization in various military and civilian applications. While information theory has shown promise in o…

eess.SP2024★ 12 cited

Multistatic-Radar RCS-Signature Recognition of Aerial Vehicles: A Bayesian Fusion Approach

Michael Potter, Murat Akcakaya, Marius Necsoiu +3

Radar Automated Target Recognition (RATR) for Unmanned Aerial Vehicles (UAVs) involves transmitting Electromagnetic Waves (EMWs) and performing target type recognition on the recei…

eess.SP2023★ 1 cited

Corticomorphic Hybrid CNN-SNN Architecture for EEG-based Low-footprint Low-latency Auditory Attention Detection

Richard Gall, Deniz Kocanaogullari, Murat Akcakaya +2

In a multi-speaker "cocktail party" scenario, a listener can selectively attend to a speaker of interest. Studies into the human auditory attention network demonstrate cortical ent…

eess.SP2021★ 14 cited

EEG-based Texture Roughness Classification in Active Tactile Exploration with Invariant Representation Learning Networks

Ozan Ozdenizci, Safaa Eldeeb, Andac Demir +2

During daily activities, humans use their hands to grasp surrounding objects and perceive sensory information which are also employed for perceptual and motor goals. Multiple corti…

cs.LG2020★ 3 cited

Stopping Criterion Design for Recursive Bayesian Classification: Analysis and Decision Geometry

Aziz Kocanaogullari, Murat Akcakaya, Deniz Erdogmus

Systems that are based on recursive Bayesian updates for classification limit the cost of evidence collection through certain stopping/termination criteria and accordingly enforce…

cs.LG2020

Active recursive Bayesian inference using Rényi information measures

Yeganeh M. Marghi, Aziz Kocanaogullari, Murat Akcakaya +1

Recursive Bayesian inference (RBI) provides optimal Bayesian latent variable estimates in real-time settings with streaming noisy observations. Active RBI attempts to effectively s…

q-bio.NC2016★ 24 cited

EEG-assisted Modulation of Sound Sources in the Auditory Scene

Marzieh Haghighi, Mohammad Moghadamfalahi, Murat Akcakaya +1

Noninvasive EEG (electroencephalography) based auditory attention detection could be useful for improved hearing aids in the future. This work is a novel attempt to investigate the…

cs.HC2016★ 16 cited

An Active RBSE Framework to Generate Optimal Stimulus Sequences in a BCI for Spelling

Mohammad Moghadamfalahi, Murat Akcakaya, Hooman Nezamfar +2

A class of brain computer interfaces (BCIs) employs noninvasive recordings of electroencephalography (EEG) signals to enable users with severe speech and motor impairments to inter…

cs.HC2016

Decoding Emotional Experience through Physiological Signal Processing

Maria S. Perez-Rosero, Behnaz Rezaei, Murat Akcakaya +1

There is an increasing consensus among re- searchers that making a computer emotionally intelligent with the ability to decode human affective states would allow a more meaningful…

stat.ML2016★ 16 cited

Asymptotic Analysis of Objectives based on Fisher Information in Active Learning

Jamshid Sourati, Murat Akcakaya, Todd K. Leen +2

Obtaining labels can be costly and time-consuming. Active learning allows a learning algorithm to intelligently query samples to be labeled for efficient learning. Fisher informati…