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ORCIDCarlos Castillo 0001
Person information
- affiliation: Universitat Pompeu Fabra, Barcelona, Spain
- affiliation: Eurecat, Barcelona, Spain
- affiliation: Qatar Computing Research Institute, Doha
- affiliation: Yahoo! Research, Barcelona, Spain
- affiliation: University of Chile, Santiago, Dept. of Computer Science
Other persons with the same name
- Carlos Castillo — disambiguation page
- Carlos Castillo 0002 — Northeastern Univ., Boston, MA, USA
- Carlos Castillo 0003 — Pontifical Catholic University of Chile, Santiago, Department of Electrical Engineering
- Carlos Castillo 0004 — Universidad Rey Juan Carlos, Madrid
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2020 – today
- 2022
[j43]Rahul Pandey, Hemant Purohit, Carlos Castillo, Valerie L. Shalin:
Modeling and mitigating human annotation errors to design efficient stream processing systems with human-in-the-loop machine learning. Int. J. Hum. Comput. Stud. 160: 102772 (2022)- [j42]Meike Zehlike, Tom Sühr
, Ricardo Baeza-Yates, Francesco Bonchi, Carlos Castillo, Sara Hajian:
Fair Top-k Ranking with multiple protected groups. Inf. Process. Manag. 59(1): 102707 (2022) - [c137]Marzieh Karimi-Haghighi, Carlos Castillo, Davinia Hernández-Leo:
A Causal Inference Study on the Effects of First Year Workload on the Dropout Rate of Undergraduates. AIED (1) 2022: 15-27 - [c136]Lorenzo Porcaro, Emilia Gómez, Carlos Castillo:
Diversity in the Music Listening Experience: Insights from Focus Group Interviews. CHIIR 2022: 272-276 - [c135]Fedor Vitiugin, Carlos Castillo:
Cross-Lingual Query-Based Summarization of Crisis-Related Social Media: An Abstractive Approach Using Transformers. HT 2022: 21-31 - [c134]Francesco Fabbri, Maria Luisa Croci, Francesco Bonchi, Carlos Castillo:
Exposure Inequality in People Recommender Systems: The Long-Term Effects. ICWSM 2022: 194-204 - [c133]Francesco Fabbri, Yanhao Wang, Francesco Bonchi, Carlos Castillo, Michael Mathioudakis:
Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways. WWW 2022: 2719-2728 - [i45]Lorenzo Porcaro, Emilia Gómez, Carlos Castillo:
Diversity in the Music Listening Experience: Insights from Focus Group Interviews. CoRR abs/2201.10249 (2022) - [i44]Manuel Portela, Carlos Castillo, Songül Tolan, Marzieh Karimi-Haghighi, Antonio Andrés-Pueyo:
A Comparative User Study of Human Predictions in Algorithm-Supported Recidivism Risk Assessment. CoRR abs/2201.11080 (2022) - [i43]Francesco Fabbri, Yanhao Wang, Francesco Bonchi, Carlos Castillo, Michael Mathioudakis:
Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways. CoRR abs/2202.00640 (2022) - [i42]David Solans, Andrea Beretta, Manuel Portela, Carlos Castillo, Anna Monreale:
Human Response to an AI-Based Decision Support System: A User Study on the Effects of Accuracy and Bias. CoRR abs/2203.15514 (2022) - [i41]Fedor Vitiugin, Carlos Castillo:
Cross-Lingual Query-Based Summarization of Crisis-Related Social Media: An Abstractive Approach Using Transformers. CoRR abs/2204.10230 (2022) - [i40]Maurício Gruppi, Panayiotis Smeros, Sibel Adali, Carlos Castillo, Karl Aberer:
SciLander: Mapping the Scientific News Landscape. CoRR abs/2205.07970 (2022) - 2021
- [j41]Marius Miron, Songül Tolan, Emilia Gómez, Carlos Castillo:
Evaluating causes of algorithmic bias in juvenile criminal recidivism. Artif. Intell. Law 29(2): 111-147 (2021) - [j40]Lorenzo Porcaro, Carlos Castillo, Emilia Gómez:
Diversity by Design in Music Recommender Systems. Trans. Int. Soc. Music. Inf. Retr. 4(1): 114-126 (2021) - [c132]David Solans, Francesco Fabbri, Caterina Calsamiglia, Carlos Castillo, Francesco Bonchi:
Comparing Equity and Effectiveness of Different Algorithms in an Application for the Room Rental Market. AIES 2021: 978-988 - [c131]Panayiotis Smeros, Carlos Castillo, Karl Aberer:
SciClops: Detecting and Contextualizing Scientific Claims for Assisting Manual Fact-Checking. CIKM 2021: 1692-1702 - [c130]Marzieh Karimi-Haghighi, Carlos Castillo:
Enhancing a recidivism prediction tool with machine learning: effectiveness and algorithmic fairness. ICAIL 2021: 210-214 - [c129]David Solans, Christopher Tauchmann, Aideen Farrell, Karolin Kappler, Hans-Hendrik Huber, Carlos Castillo, Kristian Kersting:
Learning to Classify Morals and Conventions: Artificial Intelligence in Terms of the Economics of Convention. ICWSM 2021: 691-702 - [c128]Marzieh Karimi-Haghighi, Carlos Castillo:
Efficiency and fairness in recurring data-driven risk assessments of violent recidivism. SAC 2021: 994-1002 - [i39]Lorenzo Porcaro, Emilia Gómez, Carlos Castillo:
Perceptions of Diversity in Electronic Music: the Impact of Listener, Artist, and Track Characteristics. CoRR abs/2101.11916 (2021) - [i38]Marzieh Karimi-Haghighi, Carlos Castillo, Davinia Hernández Leo, Verónica Moreno Oliver:
Predicting Early Dropout: Calibration and Algorithmic Fairness Considerations. CoRR abs/2103.09068 (2021) - [i37]Panayiotis Smeros, Carlos Castillo, Karl Aberer:
SciClops: Detecting and Contextualizing Scientific Claims for Assisting Manual Fact-Checking. CoRR abs/2110.13090 (2021) - [i36]Francesco Fabbri, Maria Luisa Croci, Francesco Bonchi, Carlos Castillo:
Exposure Inequality in People Recommender Systems: The Long-Term Effects. CoRR abs/2112.08237 (2021) - 2020
- [j39]Pakhee Kumar, Ferda Ofli, Muhammad Imran, Carlos Castillo:
Detection of Disaster-Affected Cultural Heritage Sites from Social Media Images Using Deep Learning Techniques. ACM Journal on Computing and Cultural Heritage 13(3): 23:1-23:31 (2020) - [j38]Angelika Romanou, Panayiotis Smeros, Carlos Castillo, Karl Aberer:
SciLens News Platform: A System for Real-Time Evaluation of News Articles. Proc. VLDB Endow. 13(12): 2969-2972 (2020) - [j37]Hemant Purohit, Carlos Castillo, Rahul Pandey:
Ranking and grouping social media requests for emergency services using serviceability model. Soc. Netw. Anal. Min. 10(1): 22 (2020) - [c127]Gemma Galdon Clavell, Mariano Martín Zamorano, Carlos Castillo, Oliver Smith, Aleksandar Matic:
Auditing Algorithms: On Lessons Learned and the Risks of Data Minimization. AIES 2020: 265-271 - [c126]Francesco Fabbri, Francesco Bonchi, Ludovico Boratto, Carlos Castillo:
The Effect of Homophily on Disparate Visibility of Minorities in People Recommender Systems. ICWSM 2020: 165-175 - [c125]David Solans, Battista Biggio, Carlos Castillo:
Poisoning Attacks on Algorithmic Fairness. ECML/PKDD (1) 2020: 162-177 - [c124]Dougal Shakespeare, Lorenzo Porcaro, Emilia Gómez, Carlos Castillo:
Exploring Artist Gender Bias in Music Recommendation. ComplexRec-ImpactRS@RecSys 2020 - [c123]Michael Mathioudakis, Carlos Castillo, Giorgio Barnabò, Sergio Celis:
Affirmative action policies for top-k candidates selection: with an application to the design of policies for university admissions. SAC 2020: 440-449 - [c122]Carlos Castillo:
Fairness and Transparency in Ranking. BIRDS@SIGIR 2020: 4 - [c121]Valerio Lorini, Carlos Castillo, Domenico Nappo, Francesco Dottori, Peter Salamon:
Social Media Alerts can Improve, but not Replace Hydrological Models for Forecasting Floods. WI/IAT 2020: 351-356 - [c120]Meike Zehlike, Tom Sühr, Carlos Castillo, Ivan Kitanovski:
FairSearch: A Tool For Fairness in Ranked Search Results. WWW (Companion Volume) 2020: 172-175 - [c119]Meike Zehlike, Carlos Castillo:
Reducing Disparate Exposure in Ranking: A Learning To Rank Approach. WWW 2020: 2849-2855 - [e10]Mireille Hildebrandt, Carlos Castillo, L. Elisa Celis, Salvatore Ruggieri, Linnet Taylor, Gabriela Zanfir-Fortuna:
FAT* '20: Conference on Fairness, Accountability, and Transparency, Barcelona, Spain, January 27-30, 2020. ACM 2020, ISBN 978-1-4503-6936-7 [contents] - [i35]Valerio Lorini, Javier Rando, Diego Sáez-Trumper, Carlos Castillo:
Uneven Coverage of Natural Disasters in Wikipedia: the Case of Flood. CoRR abs/2001.08810 (2020) - [i34]Aris Anagnostopoulos, Carlos Castillo, Adriano Fazzone, Stefano Leonardi, Evimaria Terzi:
Algorithms for Hiring and Outsourcing in the Online Labor Market. CoRR abs/2002.07618 (2020) - [i33]Marius Miron, Songül Tolan, Emilia Gómez, Carlos Castillo:
Addressing multiple metrics of group fairness in data-driven decision making. CoRR abs/2003.04794 (2020) - [i32]David Solans, Battista Biggio, Carlos Castillo:
Poisoning Attacks on Algorithmic Fairness. CoRR abs/2004.07401 (2020) - [i31]Corinna Hertweck, Carlos Castillo, Michael Mathioudakis:
Towards Data-Driven Affirmative Action Policies under Uncertainty. CoRR abs/2007.01202 (2020) - [i30]Rahul Pandey, Hemant Purohit, Carlos Castillo, Valerie L. Shalin:
Modeling and Mitigating Human Annotation Errors to Design Efficient Stream Processing Systems with Human-in-the-loop Machine Learning. CoRR abs/2007.03177 (2020) - [i29]Giorgio Barnabò, Carlos Castillo, Michael Mathioudakis, Sergio Celis:
Intersectional Affirmative Action Policies for Top-k Candidates Selection. CoRR abs/2007.14775 (2020) - [i28]Angelika Romanou, Panayiotis Smeros, Carlos Castillo, Karl Aberer:
SciLens News Platform: A System for Real-Time Evaluation of News Articles. CoRR abs/2008.12039 (2020) - [i27]Dougal Shakespeare, Lorenzo Porcaro, Emilia Gómez, Carlos Castillo:
Exploring Artist Gender Bias in Music Recommendation. CoRR abs/2009.01715 (2020) - [i26]Valerio Lorini, Carlos Castillo, Domenico Nappo, Francesco Dottori, Peter Salamon:
Social Media Alerts can Improve, but not Replace Hydrological Models for Forecasting Floods. CoRR abs/2012.05852 (2020) - [i25]Meike Zehlike, Tom Sühr, Carlos Castillo:
A Note on the Significance Adjustment for FA*IR with Two Protected Groups. CoRR abs/2012.12795 (2020)
2010 – 2019
- 2019
- [j36]Yu-Ru Lin, Carlos Castillo, Jie Yin:
Introduction to the Special Issue on AI for Disaster Management and Resilience. IEEE Intell. Syst. 34(3): 3-5 (2019) - [j35]Alexandra Olteanu, Carlos Castillo, Fernando Diaz, Emre Kiciman:
Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries. Frontiers Big Data 2: 13 (2019) - [j34]Ugur Kursuncu, Manas Gaur, Carlos Castillo, Amanuel Alambo, Krishnaprasad Thirunarayan, Valerie L. Shalin, Dilshod Achilov, Ismailcem Budak Arpinar, Amit P. Sheth:
Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate. Proc. ACM Hum. Comput. Interact. 3(CSCW): 151:1-151:22 (2019) - [c118]Rahul Pandey, Carlos Castillo, Hemant Purohit:
Modeling human annotation errors to design bias-aware systems for social stream processing. ASONAM 2019: 374-377 - [c117]Songül Tolan, Marius Miron, Emilia Gómez, Carlos Castillo:
Why Machine Learning May Lead to Unfairness: Evidence from Risk Assessment for Juvenile Justice in Catalonia. ICAIL 2019: 83-92 - [c116]Valerio Lorini, Carlos Castillo, Francesco Dottori, Milan Kalas, Domenico Nappo, Peter Salamon:
Integrating Social Media into a Pan-European Flood Awareness System: A Multilingual Approach. ISCRAM 2019 - [c115]Fedor Vitiugin, Carlos Castillo:
Comparison of Social Media in English and Russian During Emergencies and Mass Convergence Events. ISCRAM 2019 - [c114]Yara Rizk, Hadi Samer Jomaa, Mariette Awad, Carlos Castillo:
A computationally efficient multi-modal classification approach of disaster-related Twitter images. SAC 2019: 2050-2059 - [c113]Carlos Castillo:
Algorithmic Bias in Rankings. WWW (Companion Volume) 2019: 741 - [c112]Panayiotis Smeros, Carlos Castillo, Karl Aberer:
SciLens: Evaluating the Quality of Scientific News Articles Using Social Media and Scientific Literature Indicators. WWW 2019: 1747-1758 - [i24]Panayiotis Smeros, Carlos Castillo, Karl Aberer:
SciLens: Evaluating the Quality of Scientific News Articles Using Social Media and Scientific Literature Indicators. CoRR abs/1903.05538 (2019) - [i23]Valerio Lorini, Carlos Castillo, Francesco Dottori, Milan Kalas, Domenico Nappo, Peter Salamon:
Integrating Social Media into a Pan-European Flood Awareness System: A Multilingual Approach. CoRR abs/1904.10876 (2019) - [i22]Michael Mathioudakis, Carlos Castillo, Giorgio Barnabò, Sergio Celis:
Affirmative Action Policies for Top-k Candidates Selection, With an Application to the Design of Policies for University Admissions. CoRR abs/1905.09947 (2019) - [i21]Meike Zehlike, Tom Sühr, Carlos Castillo, Ivan Kitanovski:
FairSearch: A Tool For Fairness in Ranked Search Results. CoRR abs/1905.13134 (2019) - [i20]Rahul Pandey, Carlos Castillo, Hemant Purohit:
Modeling Human Annotation Errors to Design Bias-Aware Systems for Social Stream Processing. CoRR abs/1907.07228 (2019) - [i19]Ugur Kursuncu, Manas Gaur, Carlos Castillo, Amanuel Alambo, Krishnaprasad Thirunarayan, Valerie L. Shalin, Dilshod Achilov, Ismailcem Budak Arpinar, Amit P. Sheth:
Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate. CoRR abs/1908.06520 (2019) - [i18]David Solans, Christopher Tauchmann, Aideen Farrell, Karolin Kappler, Hans-Hendrik Huber, Carlos Castillo:
Conflict and Cooperation: AI Research and Development in terms of the Economy of Conventions. CoRR abs/1910.12591 (2019) - [i17]Oana Balalau, Carlos Castillo, Mauro Sozio:
EviDense: a Graph-based Method for Finding Unique High-impact Events with Succinct Keyword-based Descriptions. CoRR abs/1912.02484 (2019) - 2018
- [j33]Carlos Castillo:
Fairness and Transparency in Ranking. SIGIR Forum 52(2): 64-71 (2018) - [c111]Hemant Purohit, Carlos Castillo, Muhammad Imran, Rahul Pandey:
Social-EOC: Serviceability Model to Rank Social Media Requests for Emergency Operation Centers. ASONAM 2018: 119-126 - [c110]Sofiane Abbar, Carlos Castillo, Antonio Sanfilippo:
To Post or Not to Post: Using Online Trends to Predict Popularity of Offline Content. HT 2018: 215-219 - [c109]Alexandra Olteanu, Carlos Castillo, Jeremy Boy, Kush R. Varshney:
The Effect of Extremist Violence on Hateful Speech Online. ICWSM 2018: 221-230 - [c108]Oana Balalau, Carlos Castillo, Mauro Sozio:
EviDense: A Graph-Based Method for Finding Unique High-Impact Events with Succinct Keyword-Based Descriptions. ICWSM 2018: 560-563 - [c107]Aris Anagnostopoulos, Carlos Castillo, Adriano Fazzone, Stefano Leonardi, Evimaria Terzi:
Algorithms for Hiring and Outsourcing in the Online Labor Market. KDD 2018: 1109-1118 - [c106]Hemant Purohit, Carlos Castillo, Muhammad Imran, Rahul Pandey:
Ranking of Social Media Alerts with Workload Bounds in Emergency Operation Centers. WI 2018: 206-213 - [c105]Alexandra Olteanu, Emre Kiciman, Carlos Castillo:
A Critical Review of Online Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries. WSDM 2018: 785-786 - [c104]Yu-Ru Lin, Carlos Castillo, Jie Yin:
The 5th International Workshop on Social Web for Disaster Management(SWDM'18): Collective Sensing, Trust, and Resilience in Global Crises. WSDM 2018: 791-792 - [c103]Muhammad Imran, Carlos Castillo, Fernando Diaz, Sarah Vieweg:
Processing Social Media Messages in Mass Emergency: Survey Summary. WWW (Companion Volume) 2018: 507-511 - [e9]Patty Kostkova, Floriana Grasso, Carlos Castillo, Yelena Mejova, Arnold Bosman, Michael Edelstein:
Proceedings of the 2018 International Conference on Digital Health, DH 2018, Lyon, France, April 23-26, 2018. ACM 2018 [contents] - [i16]Alexandra Olteanu, Carlos Castillo, Jeremy Boy, Kush R. Varshney:
The Effect of Extremist Violence on Hateful Speech Online. CoRR abs/1804.05704 (2018) - [i15]Meike Zehlike, Carlos Castillo:
Reducing Disparate Exposure in Ranking: A Learning To Rank Approach. CoRR abs/1805.08716 (2018) - [i14]Emilia Gómez, Carlos Castillo, Vicky Charisi, Verónica Dahl, Gustavo Deco, Blagoj Delipetrev, Nicole Dewandre, Miguel Ángel González Ballester, Fabien Gouyon, José Hernández-Orallo, Perfecto Herrera, Anders Jonsson, Ansgar Koene, Martha A. Larson, Ramón López de Mántaras, Bertin Martens, Marius Miron, Rubén Moreno-Bote, Nuria Oliver, Antonio Puertas Gallardo, Heike Schweitzer, Núria Sebastián, Xavier Serra, Joan Serrà, Songül Tolan, Karina Vold:
Assessing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour. CoRR abs/1806.03192 (2018) - [i13]Sofiane Abbar, Carlos Castillo, Antonio Sanfilippo:
To Post or Not to Post: Using Online Trends to Predict Popularity of Offline Content. CoRR abs/1807.06373 (2018) - [i12]Hemant Purohit, Carlos Castillo, Muhammad Imran, Rahul Pandey:
Ranking of Social Media Alerts with Workload Bounds in Emergency Operation Centers. CoRR abs/1809.08489 (2018) - 2017
- [j32]Janette Lehmann, Carlos Castillo, Mounia Lalmas, Ricardo Baeza-Yates:
Story-focused reading in online news and its potential for user engagement. J. Assoc. Inf. Sci. Technol. 68(4): 869-883 (2017) - [c102]Julia Proskurnia, Ruslan Mavlyutov, Carlos Castillo, Karl Aberer, Philippe Cudré-Mauroux:
Efficient Document Filtering Using Vector Space Topic Expansion and Pattern-Mining: The Case of Event Detection in Microposts. CIKM 2017: 457-466 - [c101]Meike Zehlike, Francesco Bonchi, Carlos Castillo, Sara Hajian, Mohamed Megahed, Ricardo Baeza-Yates:
FA*IR: A Fair Top-k Ranking Algorithm. CIKM 2017: 1569-1578 - [c100]Michele Gentili, Sara Hajian, Carlos Castillo:
A Case Study of Anonymization of Medical Surveys. DH 2017: 77-81 - [c99]Julia Proskurnia, Przemyslaw A. Grabowicz, Ryota Kobayashi, Carlos Castillo, Philippe Cudré-Mauroux, Karl Aberer:
Predicting the Success of Online Petitions Leveraging Multidimensional Time-Series. WWW 2017: 755-764 - [e8]Ee-Peng Lim, Marianne Winslett, Mark Sanderson, Ada Wai-Chee Fu, Jimeng Sun, J. Shane Culpepper, Eric Lo, Joyce C. Ho, Debora Donato, Rakesh Agrawal, Yu Zheng, Carlos Castillo, Aixin Sun, Vincent S. Tseng, Chenliang Li:
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017. ACM 2017, ISBN 978-1-4503-4918-5 [contents] - [e7]Patty Kostkova, Floriana Grasso, Carlos Castillo, Yelena Mejova, Arnold Bosman:
Proceedings of the 2017 International Conference on Digital Health, London, United Kingdom, July 2-5, 2017. ACM 2017, ISBN 978-1-4503-5249-9 [contents] - [i11]Meike Zehlike, Francesco Bonchi, Carlos Castillo, Sara Hajian, Mohamed Megahed, Ricardo Baeza-Yates:
FA*IR: A Fair Top-k Ranking Algorithm. CoRR abs/1706.06368 (2017) - 2016
- [j31]Ferda Ofli, Patrick Meier, Muhammad Imran, Carlos Castillo, Devis Tuia, Rey Nicolas, Julien Briant, Pauline M. Rudd, Friedrich Reinhard, Matthew Parkan, Stéphane Joost:
Combining Human Computing and Machine Learning to Make Sense of Big (Aerial) Data for Disaster Response. Big Data 4(1): 47-59 (2016) - [j30]Symeon Papadopoulos, Kalina Bontcheva, Eva Jaho, Mihai Lupu, Carlos Castillo:
Overview of the Special Issue on Trust and Veracity of Information in Social Media. ACM Trans. Inf. Syst. 34(3): 14:1-14:5 (2016) - [c98]Carlos Castillo, Fernando Diaz, Yu-Ru Lin, Jie Yin:
The Fourth International Workshop on Social Web for Disaster Management (SWDM 2016). CIKM 2016: 2503-2504 - [c97]Muhammad Imran, Patrick Meier, Carlos Castillo, Andre Lesa, Manuel García-Herranz:
Enabling Digital Health by Automatic Classification of Short Messages. Digital Health 2016: 61-65 - [c96]Muhammad Imran, Sanjay Chawla, Carlos Castillo:
A Robust Framework for Classifying Evolving Document Streams in an Expert-Machine-Crowd Setting. ICDM 2016: 961-966 - [c95]Sara Hajian, Francesco Bonchi, Carlos Castillo:
Algorithmic Bias: From Discrimination Discovery to Fairness-aware Data Mining. KDD 2016: 2125-2126 - [c94]Muhammad Imran, Prasenjit Mitra, Carlos Castillo:
Twitter as a Lifeline: Human-annotated Twitter Corpora for NLP of Crisis-related Messages. LREC 2016 - [e6]Patty Kostkova, Floriana Grasso, Carlos Castillo:
Proceedings of the 6th International Conference on Digital Health Conference, DH 2016, Montréal, QC, Canada, April 11-13, 2016. ACM 2016, ISBN 978-1-4503-4224-7 [contents] - [i10]Muhammad Imran, Patrick Meier, Carlos Castillo, Andre Lesa, Manuel García-Herranz:
Enabling Digital Health by Automatic Classification of Short Messages. CoRR abs/1602.08423 (2016) - [i9]Muhammad Imran, Prasenjit Mitra, Carlos Castillo:
Twitter as a Lifeline: Human-annotated Twitter Corpora for NLP of Crisis-related Messages. CoRR abs/1605.05894 (2016) - [i8]Muhammad Imran, Sanjay Chawla, Carlos Castillo:
A Robust Framework for Classifying Evolving Document Streams in an Expert-Machine-Crowd Setting. CoRR abs/1610.01858 (2016) - 2015
- [j29]Muhammad Imran, Carlos Castillo, Fernando Diaz, Sarah Vieweg:
Processing Social Media Messages in Mass Emergency: A Survey. ACM Comput. Surv. 47(4): 67:1-67:38 (2015) - [c93]Alexandra Olteanu, Sarah Vieweg, Carlos Castillo:
What to Expect When the Unexpected Happens: Social Media Communications Across Crises. CSCW 2015: 994-1009 - [c92]Alexandra Olteanu, Carlos Castillo, Nicholas Diakopoulos, Karl Aberer:
Comparing Events Coverage in Online News and Social Media: The Case of Climate Change. ICWSM 2015: 288-297 - [c91]Irina P. Temnikova, Carlos Castillo, Sarah Vieweg:
EMTerms 1.0: A Terminological Resource for Crisis Tweets. ISCRAM 2015 - [c90]Carlos Castillo:
Big Crisis Data. WebMedia 2015: 3 - [c89]Muhammad Imran, Carlos Castillo:
Towards a Data-driven Approach to Identify Crisis-Related Topics in Social Media Streams. WWW (Companion Volume) 2015: 1205-1210 - [c88]Irina P. Temnikova, Sarah Vieweg, Carlos Castillo:
The Case for Readability of Crisis Communications in Social Media. WWW (Companion Volume) 2015: 1245-1250 - 2014
- [j28]Hemant Purohit, Carlos Castillo, Fernando Diaz, Amit P. Sheth, Patrick Meier:
Emergency-relief coordination on social media: Automatically matching resource requests and offers. First Monday 19(1) (2014) - [j27]Adam Jatowt, Carlos Castillo, James Caverlee, Katsumi Tanaka:
Report on the WebQuality 2014 Workshop. SIGIR Forum 48(2): 93-95 (2014) - [j26]Sihem Amer-Yahia, Francesco Bonchi, Carlos Castillo, Esteban Feuerstein, Isabel Méndez-Díaz, Paula Zabala:
Composite Retrieval of Diverse and Complementary Bundles. IEEE Trans. Knowl. Data Eng. 26(11): 2662-2675 (2014) - [c87]Venkata Rama Kiran Garimella, Carlos Castillo:
FAST: forecast and analytics of social media and traffic. CSCW Companion 2014: 13-16 - [c86]Carlos Castillo, Mohammed El-Haddad, Jürgen Pfeffer, Matt Stempeck:
Characterizing the life cycle of online news stories using social media reactions. CSCW 2014: 211-223 - [c85]Sofiane Abbar, Habibur Rahman, Saravanan Thirumuruganathan, Carlos Castillo, Gautam Das:
Ranking item features by mining online user-item interactions. ICDE 2014: 460-471 - [c84]Alexandra Olteanu, Carlos Castillo, Fernando Diaz, Sarah Vieweg:
CrisisLex: A Lexicon for Collecting and Filtering Microblogged Communications in Crises. ICWSM 2014 - [c83]Muhammad Imran, Carlos Castillo, Jesse Lucas, Patrick Meier, Jakob Rogstadius:
Coordinating human and machine intelligence to classify microblog communications in crises. ISCRAM 2014 - [c82]Oshani Seneviratne, Evan W. Patton, Daniela Miao, Fuming Shih, Weihua Li, Lalana Kagal, Carlos Castillo:
Developing Mobile Linked Data Applications. ISWC (Posters & Demos) 2014: 169-172 - [c81]Aditi Gupta, Ponnurangam Kumaraguru, Carlos Castillo, Patrick Meier:
TweetCred: Real-Time Credibility Assessment of Content on Twitter. SocInfo 2014: 228-243 - [c80]Sarah Vieweg, Carlos Castillo, Muhammad Imran:
Integrating Social Media Communications into the Rapid Assessment of Sudden Onset Disasters. SocInfo 2014: 444-461 - [c79]Muhammad Imran, Carlos Castillo, Ji Lucas, Patrick Meier, Sarah Vieweg:
AIDR: artificial intelligence for disaster response. WWW (Companion Volume) 2014: 159-162 - [c78]Muhammad Imran, Carlos Castillo:
Volunteer-powered automatic classification of social media messages for public health in AIDR. WWW (Companion Volume) 2014: 671-672 - [e5]Ben Carterette, Fernando Diaz, Carlos Castillo, Donald Metzler:
Seventh ACM International Conference on Web Search and Data Mining, WSDM 2014, New York, NY, USA, February 24-28, 2014. ACM 2014, ISBN 978-1-4503-2351-2 [contents] - [i7]