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Publication search results
found 291 matches
- 2024
- Samuele Maschio, Davide Trotta:
On categorical structures arising from implicative algebras: From topology to assemblies. Ann. Pure Appl. Log. 175(3): 103390 (2024) - David Harel, Raz Yerushalmi, Assaf Marron, Achiya Elyasaf:
Categorizing methods for integrating machine learning with executable specifications. Sci. China Inf. Sci. 67(1) (2024) - Davide Liberato Manna, Alex Vicente-Sola, Paul Kirkland, Trevor Joseph Bihl, Gaetano Di Caterina:
Time Series Forecasting via Derivative Spike Encoding and Bespoke Loss Functions for Spiking Neural Networks. Comput. 13(8): 202 (2024) - Antonio M. Gómez-Orellana, David Guijo-Rubio, Pedro Antonio Gutiérrez, César Hervás-Martínez, Víctor Manuel Vargas:
ORFEO: Ordinal classifier and Regressor Fusion for Estimating an Ordinal categorical target. Eng. Appl. Artif. Intell. 133: 108462 (2024) - Colm Duffy, Daniel Henn, David Styles, Gregory G. Toth, Remi Prudhomme, Pietro P. M. Iannetta, Ken Byrne:
GeoGOBLIN: A catchment-scale land balance model for assessment of climate mitigation pathways considering environmental trade-offs for multiple impact categories. Environ. Model. Softw. 180: 106144 (2024) - Priya Deshpande, Alexander Rasin, Roselyne Tchoua, Jacob D. Furst, Daniela Raicu, Michiel Schinkel, Hari Trivedi, Sameer K. Antani:
Biomedical heterogeneous data categorization and schema mapping toward data integration. Frontiers Big Data 6 (2024) - Hernan Hernandez, Sandra Baez, Vicente Medel, Sebastian Moguilner, Jhosmary Cuadros, Hernando Santamaría-García, Enzo Tagliazucchi, Pedro A. Valdés-Sosa, Francisco Lopera, John Fredy Ochoa-Gómez, Alfredis González-Hernández, Jasmin Bonilla-Santos, Rodrigo A. Gonzalez-Montealegre, Tuba Aktürk, Ebru Yildirim, Renato Anghinah, Agustina Legaz, Sol Fittipaldi, Görsev Yener, Javier Escudero, Claudio Babiloni, Susanna Lopez, Robert Whelan, Alberto A Fernández Lucas, Adolfo M. García, David Huepe, Gaetano Di Caterina, Marcio Soto-Añari, Agustina Birba, Agustin Sainz-Ballesteros, Carlos Coronel-Oliveros, Eduar Herrera, Daniel Abásolo, Kerry Kilborn, Nicolás Rubido, Ruaridh A. Clark, Rubén Herzog, Deniz Yerlikaya, Bahar Güntekin, Mario A. Parra, Pavel Prado, Agustín Ibáñez:
Brain health in diverse settings: How age, demographics and cognition shape brain function. NeuroImage 295: 120636 (2024) - Caterina De Bacco, Yixin Wang, David M. Blei:
A causality-inspired plus-minus model for player evaluation in team sports. CLeaR 2024: 769-792 - Trevor Bihl, Patrick Farr, Gaetano Di Caterina, Alex Vicente-Sola, Davide L. Manna, Paul Kirkland, Jundong Liu, Kara Combs:
Exploring Spiking Neural Networks (SNN) for Low Size, Weight, and Power (SWaP) Benefits. HICSS 2024: 7561-7570 - Mija Pilkaite, Davide Buscaldi:
Automatic Categorization of ESWD Weather Reports in French. INFORSID 2024: 208-215 - Anna Burdina, Gabriel Catel Torres, Pasquale Davide Schiavone, Miguel Peón Quirós, Giovanni Ansaloni, David Atienza, Marina Zapater:
Cross-layer Exploration of 2.5D Energy-Efficient Heterogeneous Chiplets Integration: From System Simulation to Open Hardware. ISLPED 2024: 1-6 - Davide Castelnovo, Marino Miculan:
On The Axioms Of M, N-Adhesive Categories. CoRR abs/2401.12638 (2024) - Wesley Ferreira Maia, Angelo Carmignani, Gabriel Bortoli, Lucas Maretti, David Luz, Daniel Camilo Fuentes Guzmán, Marcos Jardel Henriques, Francisco Louzada-Neto:
Multi-level Product Category Prediction through Text Classification. CoRR abs/2403.01638 (2024) - Omid Rohanian, Mohammadmahdi Nouriborji, Olena Seminog, Rodrigo Furst, Thomas Mendy, Shanthi Levanita, Zaharat Kadri-Alabi, Nusrat Jabin, Daniela Toale, Georgina S. Humphreys, Emilia Antonio, Adrian Bucher, Alice Norton, David A. Clifton:
Rapid Biomedical Research Classification: The Pandemic PACT Advanced Categorisation Engine. CoRR abs/2407.10086 (2024) - Phuong T. Nguyen, Juri Di Rocco, Claudio Di Sipio, Mudita Shakya, Davide Di Ruscio, Massimiliano Di Penta:
Automatic Categorization of GitHub Actions with Transformers and Few-shot Learning. CoRR abs/2407.16946 (2024) - 2023
- Miguel V. Carriegos, Noemí DeCastro-García, David Escudero García:
Towards Supercomputing Categorizing the Maliciousness upon Cybersecurity Blacklists with Concept Drift. Comput. Math. Methods 2023: 5780357:1-5780357:8 (2023) - Ecem Kavaz, Anna Puig, Inmaculada Rodríguez, Reyes Chacón, David De-La-Paz, Adrià Torralba, Montserrat Nofre, Mariona Taulé:
Visualisation of hierarchical multivariate data: Categorisation and case study on hate speech. Inf. Vis. 22(1): 31-51 (2023) - Davide Ottolina, Beatrice Cairo, Tommaso Fossali, Claudio Mazzucco, Antonio Castelli, Roberto Rech, Emanuele Catena, Alberto Porta, Riccardo Colombo:
Cardiorespiratory coupling in mechanically ventilated patients studied via synchrogram analysis. Medical Biol. Eng. Comput. 61(6): 1329-1341 (2023) - Davide Cardone, Martina Cignetti, Davide Notti, Danilo Godone, Daniele Giordan, Fabiana Calò, Simona Verde, Diego Reale, Eugenio Sansosti, Gianfranco Fornaro:
Slope-Scale Evolution Categorization of Deep-Seated Slope Deformation Phenomena with Sentinel-1 Data. Remote. Sens. 15(23): 5440 (2023) - Matteo Rossi, Davide Sala, Dario Bovio, Caterina Salito, Giulia Alessandrelli, Carolina Lombardi, Luca T. Mainardi, Pietro Cerveri:
SLEEP-SEE-THROUGH: Explainable Deep Learning for Sleep Event Detection and Quantification From Wearable Somnography. IEEE J. Biomed. Health Informatics 27(7): 3129-3140 (2023) - Irina Bianca Serban, Dimitra Dritsa, Israel Campero-Jurado, Steven Houben, Aarnout Brombacher, David Ten Cate, Loes Janssen, Margot Heijmans:
"I just see numbers, but how do you feel about your training?": Clinicians' Data Needs in Telemonitoring for Colorectal Cancer Surgery Prehabilitation. CSCW Companion 2023: 267-272 - Davide L. Manna, Alex Vicente-Sola, Paul Kirkland, Trevor J. Bihl, Gaetano Di Caterina:
Frameworks for SNNs: A Review of Data Science-Oriented Software and an Expansion of SpykeTorch. EANN 2023: 227-238 - Júlia Riera, David Solans, Marzieh Karimi-Haghighi, Carlos Castillo, Caterina Calsamiglia:
Gender Disparities in Child Custody Sentencing in Spain: a Data Driven Analysis. ICAIL 2023: 237-246 - David Trye, Mark D. Apperley, David Bainbridge:
Extending the Heatmap Matrix: Pairwise Analysis of Multivariate Categorical Data. IV 2023: 29-36 - Davide Liberato Manna, Alex Vicente-Sola, Paul Kirkland, Trevor Joseph Bihl, Gaetano Di Caterina:
Frameworks for SNNs: a Review of Data Science-oriented Software and an Expansion of SpykeTorch. CoRR abs/2302.07624 (2023) - Samuele Maschio, Davide Trotta:
On categorical structures arising from implicative algebras: from topology to assemblies. CoRR abs/2306.04534 (2023) - 2022
- Giorgia Giacomini, Caterina Graziani, Veronica Lachi, Pietro Bongini, Niccolò Pancino, Monica Bianchini, Davide Chiarugi, Angelo Valleriani, Paolo Andreini:
A Neural Network Approach for the Analysis of Reproducible Ribo-Seq Profiles. Algorithms 15(8): 274 (2022) - Sasa Arsovski, Idris Oladele Muniru, Adrian David Cheok, Velibor Premcevski, Branko Markoski:
An approach to email categorization and response generation. Comput. Sci. Inf. Syst. 19(2): 913-934 (2022) - Christian Ohmann, Romain David, Mónica Cano Abadia, Florence Bietrix, Jan-Willem Boiten, Steve Canham, Maria Luisa Chiusano, Walter Dastrù, Arnaud Laroquette, Dario Longo, Michaela Theresia Mayrhofer, Maria Panagiotopoulou, Audrey Richard, Pablo Emilio Verde:
Pilot Study on the Intercalibration of a Categorisation System for FAIRer Digital Objects Related to Sensitive Data in the Life Sciences. Data Intell. 4(2): 196-211 (2022) - Nohel Zaman, David M. Goldberg, Richard Gruss, Alan S. Abrahams, Siriporn Srisawas, Peter Ractham, Michelle M. H. Seref:
Cross-Category Defect Discovery from Online Reviews: Supplementing Sentiment with Category-Specific Semantics. Inf. Syst. Frontiers 24(4): 1265-1285 (2022)
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