Abraham L.  2018.  Visión computacional y aprendizaje de máquinas aplicado a la estimación de activación muscular del bíceps braquial. Universidad Nacional del Centro de la Provincia de Buenos Aires - Facultad de Ciencias Exactas. Computer Science Ph.D:63.

• Google Scholar
• BibTex

Bromberg F, Schlüter F.  2009.  Variante de grow shrink para mejorar la calidad de markov blankets. XXXV Latin American Informatics Conference (CLEI), Pelotas, Brasil.

• Google Scholar
• BibTex

Brun-Laguna K, Diedrichs ALaura, Watteyne T, Dujovne D, Taffernaberry C, Leone R, Vilajosana X.  2017.  Using SmartMesh IP in Smart Agriculture and Smart Building Deployments: it Just Works. Computer Communications journal.

• Google Scholar
• BibTex

Marset WVillegas, Perez DSebastian, Díaz CAriel, Bromberg F.  2021.  Towards practical 2D grapevine bud detection with fully convolutional networks. Computers and Electronics in Agriculture. 182:105947.

• DOI
• Google Scholar
• BibTex

Edera AA., Gandini CL, M. Sanchez-Puerta V.  2018.  Towards A Comprehensive Picture Of C-to-U RNA Editing Sites In Angiosperm Mitochondria (under review). Plant Molecular Biology.

• Google Scholar
• BibTex

Ribas À, Bromberg F.  2018.  Toward Self-Determinant Citizen Governance: Trust-Boosting Sociocracy 3.0 with Blockchain. Symposium on Implementing Collaborative Governance. Models, experiences and challenges to foster policy coordination, and to enhance sustainable community outcomes and public value generation.

• Google Scholar
• BibTex

Schlüter F.  2012.  A survey on independence-based Markov networks learning. Artificial Intelligence Review. 42(4):1093.

• DOI
• Google Scholar
• BibTex

Schlüter F, Bromberg F, Abraham L.  2011.  Strategies for piecing-together Local-to-Global Markov network learning algorithms. ASAI 2011.

• Google Scholar
• BibTex

Schlüter F, Bromberg F, Pérez DS.  2010.  Speeding up the execution of a large number of statistical tests of independence. Proceedings of ASAI 2010, Argentinean Symposioum of Artificial Intelligence.

• Google Scholar
• BibTex

Grünwaldt G, Pecchia M, Diedrichs ALaura, Tabacchi G, Mercado G.  2015.  Sonda de temperatura para uso agrícola. CASE Congreso Argentino de Sistemas Embebidos.

• Google Scholar
• BibTex

Abraham L, Botta A, Fratte D, Ocaña P.  2011.  Sistema SCADA para monitoreo y control de una central hidroeléctrica. CNEISI.

• Google Scholar
• BibTex

Pérez DS, Bromberg F.  2012.  Segmentación de imágenes en viñedos para la medición autónoma de variables vitícolas. XVIII Congreso Argentino de Ciencias de la Computación.

• Google Scholar
• BibTex

Perez C, Diedrichs ALaura.  2016.  SDCP: Streaming Distributed Control Protocol.

• Google Scholar
• BibTex

Ribas A, Bromberg F, Dinamarca A.  2019.  S3LF: a Socio-Technical System for Self-Determinant Governance in Collaborative Organizations. 23RD INTERNATIONAL PUBLIC MANAGEMENT NETWORK (IPMN) CONFERENCE.

• Google Scholar
• BibTex

Mercado G, Borgo R, Antivilo FGonzalez, Uriburu GOrtiz, Diedrichs A, Farreras P, Aguirre M, Battaglia F, Tabacchi G, Tromer S.  2011.  RED SIPIA: Red de Sensores Inalámbricos para Investigación Agronómica. XIII Workshop de Investigadores en Ciencias de la Computación.

• Google Scholar
• BibTex

Diedrichs A.  2014.  Prediction of frost location using machine learning and wireless sensor networks.

• Google Scholar
• BibTex

Diedrichs ALaura, Bromberg F, Dujovne D, Brun-Laguna K, Watteyne T.  2018.  Prediction of frost events using machine learning and IoT sensing devices. IEEE Internet of Things Journal. 5(6):4589-4597.

• Google Scholar
• BibTex

Diedrichs ALaura, Bromberg F, Dujovne D, Brun-Laguna K, Watteyne T.  2017.  Prediction of frost events using Bayesian networks and Random Forest. IEEE Internet of Things Journal.

• Google Scholar
• BibTex

[Anónimo].  2011.  Point Cloud Library (PCL).

• Google Scholar
• BibTex

Watteyne T, Diedrichs ALaura, Brun-Laguna K, Chaar JEmilio, Dujovne D, Taffernaberry JCarlos, Mercado G.  2016.  Peach: Predicting frost events in peach orchards using iot technology. EAI Endorsed Transactions on the Internet of Things. (5)

• DOI
• Google Scholar
• BibTex

Brun-Laguna K, Diedrichs ALaura, Dujovne D, Léone R, Vilajosana X, Watteyne T.  2016.  (Not so) intuitive results from a smart agriculture low-power wireless mesh deployment. Proceedings of the Eleventh ACM Workshop on Challenged Networks.

• DOI
• Google Scholar
• BibTex

Correa JMLópez, Todeschini M, Pérez DS, Karouta J, Bromberg F, Ribeiro A, Andújar D.  2021.  Multi species weed detection with Retinanet one-step network in a maize field. Precision agriculture’21. :2223–2228.

• DOI
• Google Scholar
• BibTex

Edera A, Bromberg F, Schlüter F.  2013.  Markov random fields factorization with context-specific independences.

• Google Scholar
• BibTex

Bromberg F, Margaritis D.  2007.  Markov networks structure discovery using independence tests. Computer Science. Doctor of Philosophy:182.

• Google Scholar
• BibTex

Diedrichs ALaura, Tabacchi G, Grunwaldt G, Pecchia M, Mercado G, Antivilo FGonzalez.  2014.  Low-power wireless sensor network for frost monitoring in agriculture research. Biennial Congress of Argentina (ARGENCON), 2014 IEEE.

• DOI
• Google Scholar
• BibTex