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ORCIDMuhammad Imran 0002
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Publications
- 2024
[j30]Firoj Alam
, Tanvirul Alam, Ferda Ofli, Muhammad Imran:
Robust Training of Social Media Image Classification Models. IEEE Trans. Comput. Soc. Syst. 11(1): 546-565 (2024)- [c59]Zainab Akhtar, Umair Qazi, Aya El-Sakka, Rizwan Sadiq, Ferda Ofli, Muhammad Imran:
Flood Insights: Integrating Remote and Social Sensing Data for Flood Exposure, Damage, and Urgent Needs Mapping. AAAI 2024: 22716-22724 - [c58]Divya Mani Adhikari, Muhammad Imran, Umair Qazi, Ingmar Weber:
Analyzing Mentions of Death in COVID-19 Tweets. ICWSM 2024: 2077-2083 - [i38]Abdul Wahab Ziaullah, Ferda Ofli, Muhammad Imran:
Monitoring Critical Infrastructure Facilities During Disasters Using Large Language Models. CoRR abs/2404.14432 (2024) - 2023
- [j29]Reem Suwaileh, Tamer Elsayed, Muhammad Imran:
IDRISI-RE: A generalizable dataset with benchmarks for location mention recognition on disaster tweets. Inf. Process. Manag. 60(3): 103340 (2023) - [j28]Fevziye Irem Eyiokur, Alperen Kantarci, Mustafa Ekrem Erakin, Naser Damer, Ferda Ofli, Muhammad Imran, Janez Krizaj, Albert Ali Salah, Alexander Waibel, Vitomir Struc, Hazim Kemal Ekenel:
A survey on computer vision based human analysis in the COVID-19 era. Image Vis. Comput. 130: 104610 (2023) - [j27]Firoj Alam, Tanvirul Alam, Md. Arid Hasan, Abul Hasnat, Muhammad Imran, Ferda Ofli:
MEDIC: a multi-task learning dataset for disaster image classification. Neural Comput. Appl. 35(3): 2609-2632 (2023) - [j26]Ferda Ofli, Muhammad Imran, Umair Qazi, Julien Roch, Catherine Pennington, Vanessa J. Banks, Rémy Bossu:
Landslide detection in real-time social media image streams. Neural Comput. Appl. 35(24): 17809-17819 (2023) - [j25]Ethan Weber, Dim P. Papadopoulos, Àgata Lapedriza, Ferda Ofli, Muhammad Imran, Antonio Torralba:
Incidents1M: A Large-Scale Dataset of Images With Natural Disasters, Damage, and Incidents. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4768-4781 (2023) - [c57]Reem Suwaileh, Muhammad Imran, Tamer Elsayed:
IDRISI-RA: The First Arabic Location Mention Recognition Dataset of Disaster Tweets. ACL (1) 2023: 16298-16317 - [c56]Reem Suwaileh, Tamer Elsayed, Muhammad Imran:
IDRISI-D: Arabic and English Datasets and Benchmarks for Location Mention Disambiguation over Disaster Microblogs. ArabicNLP 2023: 158-169 - [c55]Zainab Akhtar, Umair Qazi, Rizwan Sadiq, Aya El-Sakka, Muhammad Sajjad, Ferda Ofli, Muhammad Imran:
Mapping Flood Exposure, Damage, and Population Needs Using Remote and Social Sensing: A Case Study of 2022 Pakistan Floods. WWW 2023: 4120-4128 - 2022
- [j24]Muhammad Imran, Umair Qazi, Ferda Ofli:
TBCOV: Two Billion Multilingual COVID-19 Tweets with Sentiment, Entity, Geo, and Gender Labels. Data 7(1): 8 (2022) - [c54]Muhammad Imran, Umair Qazi, Ferda Ofli, Steve Peterson, Firoj Alam:
AI for Disaster Rapid Damage Assessment from Microblogs. AAAI 2022: 12517-12523 - [c53]Ferda Ofli, Umair Qazi, Muhammad Imran, Julien Roch, Catherine Pennington, Vanessa J. Banks, Rémy Bossu:
A Real-Time System for Detecting Landslide Reports on Social Media Using Artificial Intelligence. ICWE 2022: 49-65 - [c52]Seymanur Akti, Ferda Ofli, Muhammad Imran, Hazim Kemal Ekenel:
Fight Detection from Still Images in the Wild. WACV (Workshops) 2022: 550-559 - [i36]Ethan Weber, Dim P. Papadopoulos, Àgata Lapedriza, Ferda Ofli, Muhammad Imran, Antonio Torralba:
Incidents1M: a large-scale dataset of images with natural disasters, damage, and incidents. CoRR abs/2201.04236 (2022) - [i35]Ferda Ofli, Umair Qazi, Muhammad Imran, Julien Roch, Catherine Pennington, Vanessa J. Banks, Rémy Bossu:
A Real-time System for Detecting Landslide Reports on Social Media using Artificial Intelligence. CoRR abs/2202.07475 (2022) - [i34]Alperen Kantarci, Ferda Ofli, Muhammad Imran, Hazim Kemal Ekenel:
Bias-Aware Face Mask Detection Dataset. CoRR abs/2211.01207 (2022) - [i33]Fevziye Irem Eyiokur, Alperen Kantarci, Mustafa Ekrem Erakin, Naser Damer, Ferda Ofli, Muhammad Imran, Janez Krizaj, Albert Ali Salah, Alexander Waibel, Vitomir Struc, Hazim Kemal Ekenel:
A Survey on Computer Vision based Human Analysis in the COVID-19 Era. CoRR abs/2211.03705 (2022) - [i32]Nando Metzger, John E. Vargas-Muñoz, Rodrigo Caye Daudt, Benjamin Kellenberger, Thao Ton-That Whelan, Ferda Ofli, Muhammad Imran, Konrad Schindler, Devis Tuia:
Fine-grained Population Mapping from Coarse Census Counts and Open Geodata. CoRR abs/2211.04039 (2022) - 2021
- [j23]Ingmar Weber, Muhammad Imran, Ferda Ofli, Fouad Mrad, Jennifer Colville, Mehdi Fathallah, Alissar Chaker, Wigdan Seed Ahmed:
Non-traditional data sources: providing insights into sustainable development. Commun. ACM 64(4): 88-95 (2021) - [j21]Loris Belcastro, Fabrizio Marozzo, Domenico Talia, Paolo Trunfio, Francesco Branda, Themis Palpanas, Muhammad Imran:
Using social media for sub-event detection during disasters. J. Big Data 8(1): 79 (2021) - [c51]Firoj Alam, Hassan Sajjad, Muhammad Imran, Ferda Ofli:
CrisisBench: Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing. ICWSM 2021: 923-932 - [c50]Firoj Alam, Umair Qazi, Muhammad Imran, Ferda Ofli:
HumAID: Human-Annotated Disaster Incidents Data from Twitter with Deep Learning Benchmarks. ICWSM 2021: 933-942 - [c49]Zainab Akhtar, Ferda Ofli, Muhammad Imran:
Towards Using Remote Sensing and Social Media Data for Flood Mapping. ISCRAM 2021: 536-551 - [i31]Firoj Alam, Umair Qazi, Muhammad Imran, Ferda Ofli:
HumAID: Human-Annotated Disaster Incidents Data from Twitter with Deep Learning Benchmarks. CoRR abs/2104.03090 (2021) - [i30]Firoj Alam, Tanvirul Alam, Ferda Ofli, Muhammad Imran:
Social Media Images Classification Models for Real-time Disaster Response. CoRR abs/2104.04184 (2021) - [i29]Benjamin Kellenberger, John E. Vargas-Muñoz, Devis Tuia, Rodrigo Caye Daudt, Konrad Schindler, Thao T.-T. Whelan, Brenda Ayo, Ferda Ofli, Muhammad Imran:
Mapping Vulnerable Populations with AI. CoRR abs/2107.14123 (2021) - [i28]Firoj Alam, Tanvirul Alam, Md. Arid Hasan, Abul Hasnat, Muhammad Imran, Ferda Ofli:
MEDIC: A Multi-Task Learning Dataset for Disaster Image Classification. CoRR abs/2108.12828 (2021) - [i27]Muhammad Imran, Umair Qazi, Ferda Ofli:
TBCOV: Two Billion Multilingual COVID-19 Tweets with Sentiment, Entity, Geo, and Gender Labels. CoRR abs/2110.03664 (2021) - [i26]Ferda Ofli, Muhammad Imran, Umair Qazi, Julien Roch, Catherine Pennington, Vanessa J. Banks, Rémy Bossu:
Landslide Detection in Real-Time Social Media Image Streams. CoRR abs/2110.04080 (2021) - [i25]Seymanur Akti, Ferda Ofli, Muhammad Imran, Hazim Kemal Ekenel:
Fight Detection from Still Images in the Wild. CoRR abs/2111.08370 (2021) - 2020
- [j20]Christian Reuter, Stefan Stieglitz, Muhammad Imran:
Social media in conflicts and crises. Behav. Inf. Technol. 39(3): 241-251 (2020) - [j19]Firoj Alam, Ferda Ofli, Muhammad Imran:
Descriptive and visual summaries of disaster events using artificial intelligence techniques: case studies of Hurricanes Harvey, Irma, and Maria. Behav. Inf. Technol. 39(3): 288-318 (2020) - [j17]Muhammad Imran, Ferda Ofli, Doina Caragea, Antonio Torralba:
Using AI and Social Media Multimodal Content for Disaster Response and Management: Opportunities, Challenges, and Future Directions. Inf. Process. Manag. 57(5): 102261 (2020) - [j16]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) - [j15]Umair Qazi, Muhammad Imran, Ferda Ofli:
GeoCoV19: a dataset of hundreds of millions of multilingual COVID-19 tweets with location information. ACM SIGSPATIAL Special 12(1): 6-15 (2020) - [c48]Firoj Alam, Ferda Ofli, Muhammad Imran, Tanvirul Alam, Umair Qazi:
Deep Learning Benchmarks and Datasets for Social Media Image Classification for Disaster Response. ASONAM 2020: 151-158 - [c47]Reem Suwaileh, Muhammad Imran, Tamer Elsayed, Hassan Sajjad:
Are We Ready for this Disaster? Towards Location Mention Recognition from Crisis Tweets. COLING 2020: 6252-6263 - [c46]Ethan Weber, Nuria Marzo, Dim P. Papadopoulos, Aritro Biswas, Àgata Lapedriza, Ferda Ofli, Muhammad Imran, Antonio Torralba:
Detecting Natural Disasters, Damage, and Incidents in the Wild. ECCV (19) 2020: 331-350 - [c45]Muhammad Imran, Firoj Alam, Umair Qazi, Steve Peterson, Ferda Ofli:
Rapid Damage Assessment Using Social Media Images by Combining Human and Machine Intelligence. ISCRAM 2020: 761-773 - [c44]Ferda Ofli, Firoj Alam, Muhammad Imran:
Analysis of Social Media Data using Multimodal Deep Learning for Disaster Response. ISCRAM 2020: 802-811 - [d1]Umair Qazi, Muhammad Imran, Ferda Ofli:
GeoCoV19: A Dataset of Hundreds of Millions of Multilingual COVID-19 Tweets with Location Information. IEEE DataPort, 2020
- [i24]Muhammad Imran, Firoj Alam, Umair Qazi, Steve Peterson, Ferda Ofli:
Rapid Damage Assessment Using Social Media Images by Combining Human and Machine Intelligence. CoRR abs/2004.06675 (2020) - [i23]Firoj Alam, Hassan Sajjad, Muhammad Imran, Ferda Ofli:
Standardizing and Benchmarking Crisis-related Social Media Datasets for Humanitarian Information Processing. CoRR abs/2004.06774 (2020) - [i22]Ferda Ofli, Firoj Alam, Muhammad Imran:
Analysis of Social Media Data using Multimodal Deep Learning for Disaster Response. CoRR abs/2004.11838 (2020) - [i21]Umair Qazi, Muhammad Imran, Ferda Ofli:
GeoCoV19: A Dataset of Hundreds of Millions of Multilingual COVID-19 Tweets with Location Information. CoRR abs/2005.11177 (2020) - [i20]Ethan Weber, Nuria Marzo, Dim P. Papadopoulos, Aritro Biswas, Àgata Lapedriza, Ferda Ofli, Muhammad Imran, Antonio Torralba:
Detecting natural disasters, damage, and incidents in the wild. CoRR abs/2008.09188 (2020) - [i19]Firoj Alam, Ferda Ofli, Muhammad Imran, Tanvirul Alam, Umair Qazi:
Deep Learning Benchmarks and Datasets for Social Media Image Classification for Disaster Response. CoRR abs/2011.08916 (2020) - 2019
- [j14]Reza Mazloom, Hongmin Li, Doina Caragea, Cornelia Caragea, Muhammad Imran:
A Hybrid Domain Adaptation Approach for Identifying Crisis-Relevant Tweets. Int. J. Inf. Syst. Crisis Response Manag. 11(2): 1-19 (2019) - [j13]Xukun Li, Doina Caragea, Huaiyu Zhang, Muhammad Imran:
Localizing and quantifying infrastructure damage using class activation mapping approaches. Soc. Netw. Anal. Min. 9(1): 44:1-44:15 (2019) - [j12]Koustav Rudra, Pawan Goyal, Niloy Ganguly, Muhammad Imran, Prasenjit Mitra:
Summarizing Situational Tweets in Crisis Scenarios: An Extractive-Abstractive Approach. IEEE Trans. Comput. Soc. Syst. 6(5): 981-993 (2019) - [c43]Firoj Alam, Ferda Ofli, Muhammad Imran:
CrisisDPS: Crisis Data Processing Services. ISCRAM 2019 - [c42]Starr Roxanne Hiltz, Amanda Lee Hughes, Muhammad Imran, Linda Plotnick, Robert Power, Murray Turoff:
Requirements for Software to Support the use of Social Media in Emergency Management: A Delphi Study. ISCRAM 2019 - [c41]Xukun Li, Doina Caragea, Cornelia Caragea, Muhammad Imran, Ferda Ofli:
Identifying Disaster Damage Images Using a Domain Adaptation Approach. ISCRAM 2019 - 2018
- [j11]Christian Reuter, Amanda Lee Hughes, Starr Roxanne Hiltz, Muhammad Imran, Linda Plotnick:
Editorial of the Special Issue on Social Media in Crisis Management. Int. J. Hum. Comput. Interact. 34(4): 277-279 (2018) - [j10]Firoj Alam, Ferda Ofli, Muhammad Imran:
Processing Social Media Images by Combining Human and Machine Computing during Crises. Int. J. Hum. Comput. Interact. 34(4): 311-327 (2018) - [j9]Luis Fernández-Luque, Muhammad Imran:
Humanitarian health computing using artificial intelligence and social media: A narrative literature review. Int. J. Medical Informatics 114: 136-142 (2018) - [j8]Saptarshi Ghosh, Kripabandhu Ghosh, Debasis Ganguly, Tanmoy Chakraborty, Gareth J. F. Jones, Marie-Francine Moens, Muhammad Imran:
Exploitation of Social Media for Emergency Relief and Preparedness: Recent Research and Trends. Inf. Syst. Frontiers 20(5): 901-907 (2018) - [j7]Koustav Rudra, Ashish Sharma, Niloy Ganguly, Muhammad Imran:
Classifying and Summarizing Information from Microblogs During Epidemics. Inf. Syst. Frontiers 20(5): 933-948 (2018) - [j6]Himanshu Zade, Kushal Shah, Vaibhavi Rangarajan, Priyanka Kshirsagar, Muhammad Imran, Kate Starbird:
From Situational Awareness to Actionability: Towards Improving the Utility of Social Media Data for Crisis Response. Proc. ACM Hum. Comput. Interact. 2(CSCW): 195:1-195:18 (2018) - [c39]Firoj Alam, Shafiq R. Joty, Muhammad Imran:
Domain Adaptation with Adversarial Training and Graph Embeddings. ACL (1) 2018: 1077-1087 - [c38]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 - [c37]Xukun Li, Doina Caragea, Huaiyu Zhang, Muhammad Imran:
Localizing and Quantifying Damage in Social Media Images. ASONAM 2018: 194-201 - [c36]Firoj Alam, Ferda Ofli, Muhammad Imran:
CrisisMMD: Multimodal Twitter Datasets from Natural Disasters. ICWSM 2018: 465-473 - [c35]Firoj Alam, Shafiq R. Joty, Muhammad Imran:
Graph Based Semi-Supervised Learning with Convolution Neural Networks to Classify Crisis Related Tweets. ICWSM 2018: 556-559 - [c34]Firoj Alam, Ferda Ofli, Muhammad Imran, Michaël Aupetit:
A Twitter Tale of Three Hurricanes: Harvey, Irma, and Maria. ISCRAM 2018 - [c33]Reza Mazloom, HongMin Li, Doina Caragea, Muhammad Imran, Cornelia Caragea:
Classification of Twitter Disaster Data Using a Hybrid Feature-Instance Adaptation Approach. ISCRAM 2018 - [c31]Koustav Rudra, Pawan Goyal, Niloy Ganguly, Prasenjit Mitra, Muhammad Imran:
Identifying Sub-events and Summarizing Disaster-Related Information from Microblogs. SIGIR 2018: 265-274 - [c30]Hemant Purohit, Carlos Castillo, Muhammad Imran, Rahul Pandey:
Ranking of Social Media Alerts with Workload Bounds in Emergency Operation Centers. WI 2018: 206-213 - [c29]Muhammad Imran, Carlos Castillo, Fernando Diaz, Sarah Vieweg:
Processing Social Media Messages in Mass Emergency: Survey Summary. WWW (Companion Volume) 2018: 507-511 - [i18]Firoj Alam, Ferda Ofli, Muhammad Imran:
CrisisMMD: Multimodal Twitter Datasets from Natural Disasters. CoRR abs/1805.00713 (2018) - [i17]Firoj Alam, Ferda Ofli, Muhammad Imran, Michaël Aupetit:
A Twitter Tale of Three Hurricanes: Harvey, Irma, and Maria. CoRR abs/1805.05144 (2018) - [i16]Firoj Alam, Shafiq R. Joty, Muhammad Imran:
Domain Adaptation with Adversarial Training and Graph Embeddings. CoRR abs/1805.05151 (2018) - [i15]Firoj Alam, Shafiq R. Joty, Muhammad Imran:
Graph Based Semi-supervised Learning with Convolution Neural Networks to Classify Crisis Related Tweets. CoRR abs/1805.06289 (2018) - [i14]Xukun Li, Huaiyu Zhang, Doina Caragea, Muhammad Imran:
Localizing and Quantifying Damage in Social Media Images. CoRR abs/1806.07378 (2018) - [i13]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
- [c28]Dat Tien Nguyen, Ferda Ofli, Muhammad Imran, Prasenjit Mitra:
Damage Assessment from Social Media Imagery Data During Disasters. ASONAM 2017: 569-576 - [c27]Firoj Alam, Muhammad Imran, Ferda Ofli:
Image4Act: Online Social Media Image Processing for Disaster Response. ASONAM 2017: 601-604 - [c26]Koustav Rudra, Ashish Sharma, Niloy Ganguly, Muhammad Imran:
Classifying Information from Microblogs during Epidemics. DH 2017: 104-108 - [c25]Dat Tien Nguyen, Kamla Al-Mannai, Shafiq R. Joty, Hassan Sajjad, Muhammad Imran, Prasenjit Mitra:
Robust Classification of Crisis-Related Data on Social Networks Using Convolutional Neural Networks. ICWSM 2017: 632-635 - [c24]Michaël Aupetit, Muhammad Imran:
Interactive Monitoring of Critical Situational Information on Social Media. ISCRAM 2017 - [c23]Dat Tien Nguyen, Firoj Alam, Ferda Ofli, Muhammad Imran:
Automatic Image Filtering on Social Networks Using Deep Learning and Perceptual Hashing During Crises. ISCRAM 2017 - [i12]Dat Tien Nguyen, Firoj Alam, Ferda Ofli, Muhammad Imran:
Automatic Image Filtering on Social Networks Using Deep Learning and Perceptual Hashing During Crises. CoRR abs/1704.02602 (2017) - 2016
- [j5]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) - [j4]Muhammad Imran, Prasenjit Mitra, Jaideep Srivastava:
Enabling Rapid Classification of Social Media Communications During Crises. Int. J. Inf. Syst. Crisis Response Manag. 8(3): 1-17 (2016) - [c21]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 - [c20]Koustav Rudra, Siddhartha Banerjee, Niloy Ganguly, Pawan Goyal, Muhammad Imran, Prasenjit Mitra:
Summarizing Situational Tweets in Crisis Scenario. HT 2016: 137-147 - [c19]Muhammad Imran, Sanjay Chawla, Carlos Castillo:
A Robust Framework for Classifying Evolving Document Streams in an Expert-Machine-Crowd Setting. ICDM 2016: 961-966 - [c18]Muhammad Imran, Prasenjit Mitra, Jaideep Srivastava:
Cross-Language Domain Adaptation for Classifying Crisis-Related Short Messages. ISCRAM 2016 - [c17]Muhammad Imran, Prasenjit Mitra, Carlos Castillo:
Twitter as a Lifeline: Human-annotated Twitter Corpora for NLP of Crisis-related Messages. LREC 2016 - [i11]Muhammad Imran, Prasenjit Mitra, Jaideep Srivastava:
Cross-Language Domain Adaptation for Classifying Crisis-Related Short Messages. CoRR abs/1602.05388 (2016) - [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]Dat Tien Nguyen, Kamla Al-Mannai, Shafiq R. Joty, Hassan Sajjad, Muhammad Imran, Prasenjit Mitra:
Rapid Classification of Crisis-Related Data on Social Networks using Convolutional Neural Networks. CoRR abs/1608.03902 (2016) - [i7]Dat Tien Nguyen, Shafiq R. Joty, Muhammad Imran, Hassan Sajjad, Prasenjit Mitra:
Applications of Online Deep Learning for Crisis Response Using Social Media Information. CoRR abs/1610.01030 (2016) - [i6]Koustav Rudra, Siddhartha Banerjee, Niloy Ganguly, Pawan Goyal, Muhammad Imran, Prasenjit Mitra:
Summarizing Situational and Topical Information During Crises. CoRR abs/1610.01561 (2016) - [i5]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
- [j3]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) - [c16]Muhammad Imran, Carlos Castillo:
Towards a Data-driven Approach to Identify Crisis-Related Topics in Social Media Streams. WWW (Companion Volume) 2015: 1205-1210 - [c15]Soudip Roy Chowdhury, Hemant Purohit, Muhammad Imran:
D-Sieve: A Novel Data Processing Engine for Efficient Handling of Crises-Related Social Messages. WWW (Companion Volume) 2015: 1227-1232 - 2014
- [c14]Muhammad Imran, Carlos Castillo, Jesse Lucas, Patrick Meier, Jakob Rogstadius:
Coordinating human and machine intelligence to classify microblog communications in crises. ISCRAM 2014 - [c13]Sarah Vieweg, Carlos Castillo, Muhammad Imran:
Integrating Social Media Communications into the Rapid Assessment of Sudden Onset Disasters. SocInfo 2014: 444-461 - [c12]Muhammad Imran, Carlos Castillo, Ji Lucas, Patrick Meier, Sarah Vieweg:
AIDR: artificial intelligence for disaster response. WWW (Companion Volume) 2014: 159-162 - [c11]Muhammad Imran, Carlos Castillo:
Volunteer-powered automatic classification of social media messages for public health in AIDR. WWW (Companion Volume) 2014: 671-672 - [i4]Muhammad Moeen Uddin, Muhammad Imran, Hassan Sajjad:
Understanding Types of Users on Twitter. CoRR abs/1406.1335 (2014) - [i3]Muhammad Imran, Carlos Castillo, Fernando Diaz, Sarah Vieweg:
Processing Social Media Messages in Mass Emergency: A Survey. CoRR abs/1407.7071 (2014) - 2013
- [j2]Muhammad Imran, Syed Zeeshan Haider Gillani, Maurizio Marchese:
A Real-time Heuristic-based Unsupervised Method for Name Disambiguation in Digital Libraries. D Lib Mag. 19(9/10) (2013) - [c10]Soudip Roy Chowdhury, Muhammad Imran, Muhammad Rizwan Asghar, Sihem Amer-Yahia, Carlos Castillo:
Tweet4act: Using incident-specific profiles for classifying crisis-related messages. ISCRAM 2013 - [c9]Muhammad Imran, Shady Elbassuoni, Carlos Castillo, Fernando Diaz, Patrick Meier:
Extracting information nuggets from disaster- Related messages in social media. ISCRAM 2013 - [c8]Muhammad Imran, Shady Elbassuoni, Carlos Castillo, Fernando Diaz, Patrick Meier:
Practical extraction of disaster-relevant information from social media. WWW (Companion Volume) 2013: 1021-1024 - [i2]Muhammad Imran, Ioanna Lykourentzou, Carlos Castillo:
Engineering Crowdsourced Stream Processing Systems. CoRR abs/1310.5463 (2013) - 2012
- [j1]Fabio Casati, Florian Daniel, Antonella De Angeli, Muhammad Imran, Stefano Soi, Chritopher R. Wilkinson, Maurizio Marchese:
Developing Mashup Tools for End-Users: On the Importance of the Application Domain. Int. J. Next Gener. Comput. 3(2) (2012) - [c7]Muhammad Imran, Florian Daniel, Fabio Casati, Maurizio Marchese:
ResEval Mash: a mashup tool that speaks the language of the user. CHI Extended Abstracts 2012: 1949-1954 - [c6]Muhammad Imran, Stefano Soi, Felix Kling, Florian Daniel, Fabio Casati, Maurizio Marchese:
On the Systematic Development of Domain-Specific Mashup Tools for End Users. ICWE 2012: 291-298 - [c5]Muhammad Imran, Felix Kling, Stefano Soi, Florian Daniel, Fabio Casati, Maurizio Marchese:
ResEval mash: a mashup tool for advanced research evaluation. WWW (Companion Volume) 2012: 361-364 - [c4]Florian Daniel, Muhammad Imran, Felix Kling, Stefano Soi, Fabio Casati, Maurizio Marchese:
Developing domain-specific mashup tools for end users. WWW (Companion Volume) 2012: 491-492 - 2011
- [c3]Cristhian Parra, Muhammad Imran, Daniil Mirylenka, Florian Daniel, Fabio Casati, Maurizio Marchese:
A Scientific Resource Space for Advanced Research Evaluation Scenarios. SEBD 2011: 203-214 - 2010
- [c2]Alessandro Bozzon, Marco Brambilla, Muhammad Imran, Florian Daniel, Fabio Casati:
On Development Practices for End Users. SeCO Workshop 2010: 192-200 - [c1]Junaid Ahsenali Chaudhry, Muhammad Imran:
Autonomic Fault Identification for Ubiquitous Self Healing Systems. UIC/ATC Workshops 2010: 370-374
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