Context-aware MapReduce for Geo-distributed Big Data. - Marco Cavallo; Giuseppe Di Modica; Carmelo Polito; Orazio Tomarchio (CLOSER, 2015)

A Scheduling Strategy to Run Hadoop Jobs on Geodistributed Data. - Marco Cavallo; Lorenzo Cusmà; Giuseppe Di Modica; Carmelo Polito; Orazio Tomarchio (ESOCC Workshops, 2015)

A semantic framework to characterise and monitor territories affected by environmental risks. - Domenico Calcaterra; Marco Cavallo; Giuseppe Di Modica; Orazio Tomarchio (ICT-DM, 2015)

H2F: a hierarchical hadoop framework for big data processing in geo-distributed environments. - Marco Cavallo; Carmelo Polito; Giuseppe Di Modica; Orazio Tomarchio (BDCAT, 2016)

A Hadoop based Framework to Process Geo-distributed Big Data. - Marco Cavallo; Lorenzo Cusmà; Giuseppe Di Modica; Carmelo Polito; Orazio Tomarchio (CLOSER (1), 2016)

Application profiling in hierarchical Hadoop for geo-distributed computing environments. - Marco Cavallo; Giuseppe Di Modica; Carmelo Polito; Orazio Tomarchio (ISCC, 2016)

Riverwalk: Incorporating Historical Photographs in Public Outdoor Augmented Reality Experiences. - Marco Cavallo; Geoffrey Alan Rhodes; Angus Graeme Forbes (ISMAR Adjunct, 2016)

Solving Critical Events through Mobile Edge Computing: An Approach for Smart Cities. - Marco Sapienza; Ermanno Guardo; Marco Cavallo; Giuseppe La Torre; Guerrino Leombruno; Orazio Tomarchio (SMARTCOMP, 2016)

A Context-Aware Solution to Improve Web Service Discovery and User-Service Interaction. - Giuseppe La Torre; Salvatore Monteleone; Marco Cavallo; Valeria D'Amico; Vincenzo Catania (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld, 2016)

Modelling and Monitoring Environmental Risks through a Semantic Framework. - Domenico Calcaterra; Marco Cavallo; Giuseppe Di Modica; Orazio Tomarchio (Int. J. Distributed Syst. Technol., 2016)

Xplorer: A system for visual analysis of sensor-based motor activity predictions. - Marco Cavallo; Çagatay Demiralp (DSIA, 2017)

A LAHC-based Job Scheduling Strategy to Improve Big Data Processing in Geo-distributed Contexts. - Marco Cavallo; Giuseppe Di Modica; Carmelo Polito; Orazio Tomarchio (IoTBDS, 2017)

Multi-job Hadoop scheduling to process geo-distributed big data. - Marco Cavallo; Giuseppe Di Modica; Carmelo Polito; Orazio Tomarchio (ISCC, 2017)

Fragmenting Big Data to Boost the Performance of MapReduce in Geographical Computing Contexts. - Marco Cavallo; Giuseppe Di Modica; Carmelo Polito; Orazio Tomarchio (Innovate-Data, 2017)

Exploring Dimensionality Reductions with Forward and Backward Projections. - Marco Cavallo; Çagatay Demiralp (CoRR, 2017)

A Visual Interaction Framework for Dimensionality Reduction Based Data Exploration. - Marco Cavallo; Çagatay Demiralp (CHI Extended Abstracts, 2018)

Track Xplorer: A System for Visual Analysis of Sensor-based Motor Activity Predictions. - Marco Cavallo; Çagatay Demiralp (Comput. Graph. Forum, 2018)

CAVE-AR: A VR User Interface to Interactively Design, Monitor, and Facilitate AR Experiences. - Marco Cavallo; Angus Graeme Forbes (CoRR, 2018)

Decomposition of complex movements into primitives for Parkinson's disease assessment. - Eleftheria Kyriaki Pissadaki; Avner G. S. Abrami; Stephen J. Heisig; Erhan Bilal; Marco Cavallo; Paul W. Wacnik; Michael Kelley Erb; Daniel R. Karlin; Peter R. Bergethon; Stephen P. Amato; Hao Zhang 090; Vesper L. Ramos; et al. (IBM J. Res. Dev., 2018)

A Hierarchical Hadoop Framework to Handle Big Data in Geo-Distributed Computing Environments. - Orazio Tomarchio; Giuseppe Di Modica; Marco Cavallo; Carmelo Polito (Int. J. Inf. Technol. Syst. Approach, 2018)

Dataspace: A Reconfigurable Hybrid Reality Environment for Collaborative Information Analysis. - Marco Cavallo; Mishal Dholakia; Matous Havlena; Kenneth Ocheltree; Mark Podlaseck (VR, 2019)

CAVE-AR: A VR Authoring System to Interactively Design, Simulate, and Debug Multi-user AR Experiences. - Marco Cavallo; Angus G. Forbes (VR, 2019)

Immersive Insights: A Hybrid Analytics System forCollaborative Exploratory Data Analysis. - Marco Cavallo; Mishal Dholakia; Matous Havlena; Kenneth Ocheltree; Mark Podlaseck (VRST, 2019)

Immersive Insights: A Hybrid Analytics System for Collaborative Exploratory Data Analysis. - Marco Cavallo; Mishal Dholakia; Matous Havlena; Kenneth Ocheltree; Mark Podlaseck (CoRR, 2019)

Clustrophile 2: Guided Visual Clustering Analysis. - Marco Cavallo; Çagatay Demiralp (IEEE Trans. Vis. Comput. Graph., 2019)

Higher Dimensional Graphics: Conceiving Worlds in Four Spatial Dimensions and Beyond. - Marco Cavallo (Comput. Graph. Forum, 2021)

A cross-platform application for the ecological and remote assessment of memory impairment in aging: ECO-MEMORY. - Francesca Bruni; Valentina Mancuso; Luca Greci; Sara Arlati; Marco Cavallo; Giuseppe Riva 001; Karine Goulene; Marco Stramba-Badiale; Elisa Pedroli (Virtual Real., 2023)

Usability Study of a Virtual Reality-Based Ecological Battery for Memory Assessment: A Pilot Study. - Valentina Mancuso; Sara Arlati; Selen Naz Saritas; Francesca Borghesi; Simona Gabriella di Santo; Marco Cavallo; Elisa Pedroli (MetroXRAINE, 2024)

DSplats: 3D Generation by Denoising Splats-Based Multiview Diffusion Models. - Kevin Miao; Harsh Agrawal; Qihang Zhang; Federico Semeraro 003; Marco Cavallo; Jiatao Gu; Alexander Toshev (CoRR, 2024)

Virtual Memory Ecological Battery (V-MEB): A Pilot Study on VR-Based Assessment for Early Detection of Cognitive Decline. - Valentina Mancuso; Arianna Tursi; Matilda Bardi; Sara Arlati; Selen Naz Saritas; Simona Gabriella di Santo; Marco Cavallo; Elisa Pedroli (XR (3), 2025)

VibE: A Visual Analytics Workflow for Semantic Error Analysis of CVML Models at Subgroup Level. - Jun Yuan; Kevin Miao; Heyin Oh; Isaac Walker; Zhouyang Xue; Tigran Katolikyan; Marco Cavallo (IUI, 2025)

Towards a Better Evaluation of 3D CVML Algorithms: Immersive Debugging of a Localization Model. - Tica Lin; Jun Yuan; Kevin Miao; Tigran Katolikyan; Isaac Walker; Marco Cavallo (Comput. Graph. Forum, 2025)