Carlos Granell

85 papers B 2C 4Journal 47Unranked 29
YearRankTypeTitle / Venue / Authors
2026 J jnl
CoRR
Àngel Ruiz-Fas, Carlos Granell, Jose Francisco Ramos Romero, Joaquín Huerta, Sergio Trilles
2025 conf
AGILE Conference
Upeksha Indeewari Edirisooriya Kirihami Vidanelage, Mark van Vliet, Sven Casteleyn, Carlos Granell, Stanislav Ronzhin, Rob Lemmens
2025 J jnl
IEEE Trans. Intell. Transp. Syst.
Leonardo Monteiro-Fialho, Enrique Cueto-Rubio, Carlos Granell, Sergio Trilles
2024 J jnl
IEEE Trans. Mob. Comput.
Lucie Klus, Roman Klus, Joaquín Torres-Sospedra, Elena Simona Lohan, Carlos Granell, Jari Nurmi
2024 J jnl
ISPRS Int. J. Geo Inf.
André Kotze, Moritz J. Hildemann, Vítor Santos, Carlos Granell
2024 J jnl
IEEE J. Biomed. Health Informatics
Miguel Matey-Sanz, Alberto González-Pérez, Sven Casteleyn, Carlos Granell
2024 J jnl
IEEE Trans. Educ.
Sergio Trilles, Aida Monfort-Muriach, Enrique Cueto-Rubio, Carmen López-Girona, Carlos Granell
2023 C conf
CIARP
Miguel Matey-Sanz, Joaquín Torres-Sospedra, Alberto González-Pérez, Sven Casteleyn, Carlos Granell
2023 J jnl
J. Biomed. Informatics
Alberto González-Pérez, Miguel Matey-Sanz, Carlos Granell, Laura Díaz-Sanahuja, Juana Bretón-López, Sven Casteleyn
2022 J jnl
Data
Marco Minghini, Alexander Kotsev, Carlos Granell
2022 B conf
MDM
Darwin Quezada-Gaibor, Lucie Klus, Joaquín Torres-Sospedra, Elena Simona Lohan, Jari Nurmi, Carlos Granell, Joaquín Huerta
2022 J jnl
CoRR
Darwin Quezada-Gaibor, Lucie Klus, Joaquín Torres-Sospedra, Elena Simona Lohan, Jari Nurmi, Carlos Granell, Joaquín Huerta
2022 J jnl
Trans. GIS
Albert Acedo, Alberto González-Pérez, Carlos Granell, Sven Casteleyn
2022 B conf
AIME
Miguel Matey-Sanz, Alberto González-Pérez, Sven Casteleyn, Carlos Granell
2022 J jnl
Rev. Iberoam. de Tecnol. del Aprendiz.
Sergio Trilles, Aida Monfort-Muriach, Águeda Gómez Cambronero, Carlos Granell
2022 conf
ICL-GNSS
Lucie Klus, Darwin Quezada-Gaibor, Joaquín Torres-Sospedra, Elena Simona Lohan, Carlos Granell, Jari Nurmi
2022 conf
AGILE Conf.
Rob Lemmens, Florian Albrecht, Stefan Lang, Sven Casteleyn, Martyna A. Stelmaszczuk-Górska, Marc Olijslagers, Mariana Belgiu, Carlos Granell, Ellen-Wien Augustijn, Carsten Pathe, Eva-Maria Missoni-Steinbacher, Aida Monfort-Muriach
2022 J jnl
Pervasive Mob. Comput.
Alberto González-Pérez, Miguel Matey-Sanz, Carlos Granell, Sven Casteleyn
2021 J jnl
Trans. GIS
Carlos Granell, Paola Pesantez-Cabrera, Luis Manuel Vilches Blázquez, Rosario Achig, Miguel R. Luaces, Alejandro Cortiñas-Álvarez, Carolina Chayle, Villie Morocho
2021 conf
GIScience (II)
Frank O. Ostermann, Daniel Nüst, Carlos Granell, Barbara Hofer, Markus Konkol
2020 J jnl
Comput. Appl. Eng. Educ.
Sergio Trilles, Carlos Granell
2020 conf
ICL-GNSS (Work in Progress)
Lucie Klus, Elena Simona Lohan, Carlos Granell, Jari Nurmi
2020 conf
ICUMT
Lucie Klus, Darwin Quezada-Gaibor, Joaquín Torres-Sospedra, Elena Simona Lohan, Carlos Granell, Jari Nurmi
2019 J jnl
ISPRS Int. J. Geo Inf.
Luis E. Rodríguez-Pupo, Carlos Granell, Sven Casteleyn
2019 J jnl
CoRR
Miguel Ángel Bernabé, Jacinto Estima, María Ester González, Carlos Granell, Carlos López-Vázquez, Miguel R. Luaces, Bruno Martins, Daniela Moctezuma, Diego Seco
2019 J jnl
CoRR
Carlos Granell, Andreas Kamilaris, Alexander Kotsev, Frank O. Ostermann, Sergio Trilles
2019 conf
UbiComp/ISWC Adjunct
Alberto González-Pérez, Ignacio Miralles, Carlos Granell, Sven Casteleyn
2018 J jnl
Int. J. Digit. Earth
Barbara Hofer, Carlos Granell, Lars Bernard
2018 J jnl
PeerJ Prepr.
Carlos Granell, Daniel Nüst, Frank O. Ostermann, Rusne Sileryte
2018 conf
WorldCIST (2)
Rustam Kamberov, Carlos Granell, Vítor Santos
2017 J jnl
Trans. GIS
Frank O. Ostermann, Carlos Granell
2017 J jnl
ISPRS Int. J. Geo Inf.
Carlos Granell, Ignacio Miralles, Luis E. Rodríguez-Pupo, Alberto González-Pérez, Sven Casteleyn, Lorenzo Busetto, Monica Pepe, Mirco Boschetti, Joaquín Huerta
2017 J jnl
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Lorenzo Busetto, Sven Casteleyn, Carlos Granell, Monica Pepe, Massimo Barbieri, Manuel Campos-Taberner, Raffaele Casa, Francesco Collivignarelli, Roberto Confalonieri, Alberto Crema, Francisco Javier García-Haro, Luca Gatti, Ioannis Z. Gitas, Alberto González-Pérez, Gonçal Grau-Muedra, Tommaso Guarneri, Francesco Holecz, Dimitrios Katsantonis, Chara Minakou, Ignacio Miralles, Ermes Movedi, Francesco Nutini, Valentina Pagani, Angelo Palombo, Francesco Di Paola, Simone Pascucci, Stefano Pignatti, Anna Rampini, Luigi Ranghetti, Elisabetta Ricciardelli, Filomena Romano, Dimitris G. Stavrakoudis, Daniela Stroppiana, Mariassunta Viggiano, Mirco Boschetti
2017 conf
CHI PLAY (Companion)
Ignacio Miralles, Carlos Granell, Luis E. Rodríguez-Pupo, Sven Casteleyn, Joaquín Huerta
2017 J jnl
ISPRS Int. J. Geo Inf.
Luis E. Rodríguez-Pupo, Sven Casteleyn, Carlos Granell
2016 J jnl
Comput. Environ. Urban Syst.
Carlos Granell, Frank O. Ostermann
2016 J jnl
Environ. Model. Softw.
Carlos Granell, Denis Havlik, Sven Schade, Zoheir A. Sabeur, Conor Delaney, Jasmin Pielorz, Thomas Usländer, Paolo Mazzetti, Katharina Schleidt, Mike Kobernus, Fuada Havlik, Nils Rune Bodsberg, Arne J. Berre, José Lorenzo
2016 J jnl
ISPRS Int. J. Geo Inf.
Auriol Degbelo, Carlos Granell, Sergio Trilles, Devanjan Bhattacharya, Sven Casteleyn, Christian Kray
2016 conf
UCAmI (2)
Ignacio Miralles, Carlos Granell, Joaquín Huerta
2016 conf
UCAmI (2)
Auriol Degbelo, Devanjan Bhattacharya, Carlos Granell, Sergio Trilles
2015 J jnl
Int. J. Spatial Data Infrastructures Res.
Barbara Hofer, Johannes Brauner, Mike Jackson, Carlos Granell, Armanda Rodrigues, Daniel Nüst, Stefan Wiemann
2014 J jnl
Int. J. Data Min. Model. Manag.
Carlos Granell, Laura Díaz, Alain Tamayo, Joaquín Huerta
2014 ed.
AGILE Conf.
Joaquín Huerta, Sven Schade, Carlos Granell
2014 J jnl
Future Gener. Comput. Syst.
Carlos Granell, Óscar Belmonte Fernández, Laura Díaz
2014 J jnl
Computing
Alain Tamayo, Carlos Granell, Laura Díaz, Joaquín Huerta
2014 J jnl
Int. J. Digit. Earth
Sven Schade, Carlos Granell
2013 J jnl
Multim. Tools Appl.
Arturo Beltrán, Carlos Abargues, Carlos Granell, Manuela Núñez-Redó, Laura Díaz, Joaquín Huerta
2013 J jnl
Environ. Model. Softw.
Carlos Granell, Laura Díaz, Sven Schade, Nicole Ostländer, Joaquín Huerta
2013 conf
EnviroInfo
Denis Havlik, Javier Soriano, Carlos Granell, Stuart E. Middleton, Hylke van der Schaaf, Arne J. Berre, Jasmin Pielorz
2013 J jnl
Comput. Environ. Urban Syst.
Carlos Granell, Sven Schade, Nicole Ostländer
2013 conf
ISESS
Thomas Usländer, Arne J. Berre, Carlos Granell, Denis Havlik, José Lorenzo, Zoheir A. Sabeur, Stefano Modafferi
2012 J jnl
CoRR
Carlos Granell, Laura Díaz, Alain Tamayo, Joaquín Huerta
2012 J jnl
Int. J. Geogr. Inf. Sci.
Alain Tamayo, Carlos Granell, Joaquín Huerta
2012 J jnl
Int. J. Appl. Geospat. Res.
José Gil, Laura Díaz, Carlos Granell, Joaquín Huerta
2012 J jnl
Sensors
Alain Tamayo, Carlos Granell, Joaquín Huerta
2011 J jnl
CoRR
Alain Tamayo, Carlos Granell, Joaquín Huerta
2011 conf
COM.Geo
Alain Tamayo, Carlos Granell, Joaquín Huerta
2011 J jnl
CoRR
Alain Tamayo, Carlos Granell, Joaquín Huerta
2011 conf
COM.Geo
Alain Tamayo, Carlos Granell, Joaquín Huerta
2011 conf
AGILE Conf.
Alain Tamayo, Pablo Viciano, Carlos Granell, Joaquín Huerta
2011 J jnl
CoRR
Alain Tamayo, Pablo Viciano, Carlos Granell, Joaquín Huerta
2011 J jnl
CoRR
Alain Tamayo, Carlos Granell, Joaquín Huerta
2011 conf
M-MPAC@Middleware
Alain Tamayo, Carlos Granell, Joaquín Huerta
2011 J jnl
Future Gener. Comput. Syst.
Laura Díaz, Carlos Granell, Michael Gould, Joaquín Huerta
2011 conf
Geospatial Semantics and the Semantic Web
Kristin Stock, Gobe Hobona, Carlos Granell, Mike Jackson
2010 conf
AGILE Conf.
Carlos Abargues, Arturo Beltrán, Carlos Granell
2010 J jnl
Environ. Model. Softw.
Carlos Granell, Laura Díaz, Michael Gould
2010 conf
WEBIST (2)
Cristian Martín-Reinhold, Joaquín Huerta, Carlos Granell
2008 ch.
Geospatial Services and Applications for the Internet
Laura Díaz, Carlos Granell, Michael Gould
2007 C conf
EATIS
Carlos Granell, Michael Gould, Dolores María Llidó, Rafael Berlanga Llavori
2007 conf
OTM Workshops (2)
Carlos Granell, Dolores María Llidó, Rafael Berlanga Llavori, Michael Gould
2007 J jnl
Trans. GIS
Rob Lemmens, Rolf A. de By, Michael Gould, Andreas Wytzisk, Carlos Granell, Peter van Oosterom
2007 C conf
IGARSS
Carlos Granell, Laura Díaz, Michael Gould
2007 C conf
IGARSS
Laura Díaz, Cristian Martín, Michael Gould, Carlos Granell, Miguel-Ángel Manso
2006 conf
DGCI
Francisco Ramos, Miguel Chover, Oscar Ripolles, Carlos Granell
2006 J jnl
IEEE Internet Comput.
Rob Lemmens, Andreas Wytzisk, Rolf A. de By, Carlos Granell, Michael Gould, Peter van Oosterom
2006
Carlos Granell
2005 conf
EC-Web
Carlos Granell, Michael Gould, Roy Grønmo, David Skogan
2005 conf
DEXA Workshops
Carlos Granell, Michael Gould, Francisco Ramos
2004 J jnl
Rev. Colomb. de Computación
Carlos Granell, José Poveda, Michael Gould
2004 conf
DEXA Workshops
Carlos Granell, J. Francisco Ramos
2004 conf
EGOV
José Poveda, Michael Gould, Carlos Granell
2004 conf
DEXA Workshops
J. Francisco Ramos, Miguel Chover, Carlos Granell
2000 conf
JBIDI
Juan Manuel Pérez, Carlos Granell, María José Aramburu, Rafael Berlanga Llavori
2000 conf
JISBD
Juan Manuel Pérez, Carlos Granell, María José Aramburu, Rafael Berlanga Llavori
docs/new_database_schema.md
← Index docs/new_database_schema.md markdown

## LLIL function

| Field Name | Field Type | Description |
|-------------|-------------|-------------|
| function_type | string | The inferred type of the analyzed function, determined by the FunctionTypeAnalysis module (e.g., standard, library, thunk). |
| sha256_llil | string | SHA-256 hash computed from the Low-Level Intermediate Language (LLIL) instructions of the function. |
| ssdeep_llil | string | Fuzzy hash (ssdeep) of the LLIL instruction sequence, used for similarity detection. |
| tlsh_llil | string | TLSH (Trend Locality Sensitive Hash) value of the LLIL instructions, used for approximate matching and similarity comparison. |
| instructions_types_llil | list[string] | List of unique LLIL instruction types (e.g., arithmetic, control flow, memory operations). |
| control_flow_count_llil | integer | Number of control flow instructions in the LLIL representation (e.g., branches, jumps, calls). |
| memory_access_pattern_llil | dict | Patterns of memory access operations detected in the LLIL code (e.g., loads, stores, stack operations). |
| register_usage | dict | Summary of register usage, indicating which registers are read and written in the function. |
| total_reg_reads | integer | Total number of register read operations in the LLIL code. |
| total_reg_written | integer | Total number of register write operations in the LLIL code. |
| data_references_count | integer | Number of data references in the LLIL code (e.g., constants, global variables). |
| max_block_size | integer | Size of the largest basic block in the LLIL representation, measured in number of instructions. |
| num_calls | integer | Total number of function call instructions present in the LLIL code. |
| stack_size | integer | Estimated stack size used by the function, inferred from LLIL analysis. |


## CFG level

| Field Name          | Field Type    | Description                                                                                                                               |
|---------------------|---------------|-------------------------------------------------------------------------------------------------------------------------------------------|
| block_id            | integer       | Unique identifier for the basic block within the function (block_instructions + str(block.start) + str(block.end) + str(function.start)). |
| function_address    | integer       | Starting memory address of the parent function containing this block.                                                                     |
| block_start_address | integer       | Starting address of the basic block in memory.                                                                                            |
| block_end_address   | integer       | Ending address of the basic block in memory.                                                                                              |
| block_size          | integer       | Size of the basic block in bytes (computed as end - start).                                                                               |
| instructions_count  | integer       | Number of instructions contained in the basic block.                                                                                      |
| block_instructions  | string        | MD5 hash of the block's instruction sequence, used for integrity or similarity checks.                                                    |
| predecessor_blocks  | list[u64]     | List of addresses or IDs of predecessor blocks in the control flow graph (CFG).                                                           |
| successor_blocks    | list[u64]     | List of addresses or IDs of successor blocks in the CFG.                                                                                  |
| depth               | integer       | Depth level of the block in the control flow graph, starting from the entry block.                                                        |
| position            | integer       | Sequential position or index of the block within the function’s block map.                                                                |
| branch_type         | string        | Type of branch ending the block (e.g., conditional, unconditional, call, return).                                                         |
| block_type          | string        | Classification of the block (e.g., entry, exit, loop header, regular).                                                                    |
| flags               | dict          | Metadata or attributes extracted from the block (e.g., specific behavior or conditions).                                                  |
| dominators          | list[integer] | List of block addresses or IDs that dominate this block in the control flow graph.                                                        |
| post_dominators     | list[integer] | List of block addresses or IDs that post-dominate this block in the control flow graph.                                                   |
 | measures            | list[tuples]  | List of measures to be defined                                                                                                            |

## Disassembly

| Field Name | Field Type | Description |
|-------------|-------------|-------------|
| disassembled_function_hash | string | SHA-256 hash of the disassembled function string, used as a unique identifier. |
| disassembled_function | string | The disassembled function including instruction addresses. |
| disassembled_function_no_addresses | string | The disassembled function without instruction addresses, containing only the instruction mnemonics and operands. |
| disassembled_function_name | string | The name of the analyzed function. |
| disassembled_function_address | integer | The starting memory address of the disassembled function. |
| instructions_count | integer | Total number of instructions within the disassembled function. |
| function_type | string | The inferred type of the function as determined by the FunctionTypeAnalysis module (e.g., standard, library, thunk). |
| instructions_types | list[string] | List of unique instruction types (e.g., arithmetic, logic, control flow, memory). |
| control_flow_count | integer | Number of control flow instructions (e.g., jumps, calls, returns). |
| memory_access_pattern | dict | Patterns of memory access operations detected in the function (e.g., loads, stores, stack operations). |
| register_usage | dict | Summary of register usage, showing which registers are read from or written to. |
| data_references_count | integer | Count of data references made by the function (e.g., global variables or constants). |
| max_block_size | integer | The size of the largest basic block (in number of instructions). |
| num_calls | integer | Total number of function call instructions. |
| stack_size | integer | Estimated stack size used by the function. |

## Decompilation

| Field Name | Field Type | Description |
|-------------|-------------|-------------|
| decompiled_function_hash | string | SHA-256 hash of the decompiled function code, used as a unique identifier. |
| decompiled_function | string | The decompiled function source code in high-level representation. |
| decompiled_function_name | string | The name of the decompiled function. |
| decompiled_function_prototype | string | The function prototype, including return type, name, and parameters. |
| decompiled_function_address | integer | The starting memory address of the decompiled function. |
| function_type | string | The inferred function type from the FunctionTypeAnalysis module (e.g., standard, library, thunk). |
| functions_caller | list[string] | List of functions that call this function (incoming call references). |
| functions_call | list[string] | List of functions called by this function (outgoing call references). |
| flattened_score | float | Score representing the degree of control-flow flattening detected in the function. |
| mba_score | float | Score representing the presence or intensity of mixed boolean arithmetic (MBA) obfuscation patterns. |