Alberto Gonzalez

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The goal of our research is to support fullfledged dialogue between a user and a system that transforms the user queries into visualizations. So far, we have collected a corpus where users explore data via visualizations; we have annotated the corpus for user intentions; and we have developed the core NL-to-visualization pipeline.
’InfoVis novices’ have been found to struggle with visual data exploration. A ’conversational interface’ which would take natural language inputs to visualization generation and modification, while maintaining a history of the requests, visualizations and findings of the user, has the potential to ameliorate many of these challenges. We present Articulate2,(More)
The goals of our work are twofold: gain insight into how humans interact with complex data and visualizations thereof in order to make discoveries; and use our findings to develop a dialogue system for exploring data visualizations. Crucial to both goals is understanding and modeling of multimodal referential expressions, in particular those that include(More)
In the task of extracting the fetal ECG from abdominal ECG, often blind source separation is used as an intermediate step. To solve this problem is generally employed PCA and ICA. The COMBI and MULTI-COMBI algorithms offer novel schemes for combining PCA and ICA, enabling exploit the strengths of both techniques. In this work, the performance of the(More)
Noninvasive fetal ECG monitoring makes use of electrodes placed on the mother's abdomen with sophisticated algorithms to separate fetal and mother activity. In this task often Blind Source Separation is used as an intermediate step. To solve Blind Source Separation problem is generally employed PCA and ICA. COMBI and MULTI-COMBI algorithms offer novel(More)
Visualization helps users infer structures and relationships in the data by encoding information as visual features that can be processed by the human visual-perceptual system. However, users would typically need to expend significant effort to scan and analyze a large number of views before they can begin to recognize relationships in a visualization. We(More)
Arup Acharya, IBM, USA Salah Aidarous, NEC America, USA Nikos Anerousis, Voicemate, USA Jean Bacon, Cambridge, USA Arosha Bandara, Imperial College London, UK Jim Basney, University of Illinois at Urbana—Champaign, USA Lawrence Bernstein, Stevens Inst. Technology, USA Konstantin Beznosov, Hitachi Computer Products, USA L. Blazevic, STMicroelectronics,(More)
This paper presents a new and simple method for calculating the common poles of a room. A set of impulse responses is measured inside a room. ARMA models are computed for each of these measured impulse responses. Since the measured linear systems are stable, the poles of the ARMA models are located inside the unit circle of the Z plane. A clustering(More)
The Destiny-class CyberCANOE is a hybrid-reality environment that provides 20/20 visual acuity in a 13-foot-wide, 320-degree cylindrical structure comprised of tiled passive stereo-capable organic light emitting diode (OLED) displays. Hybrid-reality systems such as Destiny, CAVE2, WAVE and the TourCAVE combine surround-screen virtual reality environments(More)